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51. Twenty-three unsolved problems in hydrology (UPH) – a community perspective

Author: Alena Gonzalez Bevacqua, Murugesu Sivapalan, Rui Tong, Ruud van der Ent, Holger Lange, Krzysztof Kochanek, Kate Heal, Moussa Sidibe, Ida Westerberg, Scott T. Allen, Pablo Borges de Amorim, Eric Lindquist, Georgia Destouni, Maria-Helena Ramos, Bruce Misstear, Andrew J. Wade, Keith Beven, Luca Brocca, Mike Kirkby, Sina Khatami, David K. Kreamer, Pieter R. van Oel, Zahra Kalantari, Shreedhar Maskey, Sergiy Vorogushyn, Shamshagul Mashtayeva, James W. Kirchner, Andis Kalvans, Hubert H. G. Savenije, Sebastian H. Mernild, Gerrit H. de Rooij, Santosh K. Aryal, Ennio Ferrari, Julien Malard, Alberto Montanari, Ladislav Holko, Sonu Khanal, Silvia Kohnová, Camyla Innocente, Mel Sandells, Josie Geris, Tom Gleeson, Felipe P. J. de Barros, Ben Jarihani, Anne Van Loon, Stefan Krause, Maria Mavrova-Guirguinova, Marlies Barendrecht, María José Polo, Flavia Tauro, Zongxue Xu, B. I. Gartsman, Elena Ridolfi, Charles Perrin, Miriam Glendell, Yuanfang Chen, Ilja van Meerveld, Theresa Blume, Harald Kunstmann, Gemma Carr, Alireza Nabizadeh, Ebru Eris, Christopher J. White, Heidi Kreibich, Hannes Müller-Thomy, Ashish Sharma, Laura Foglia, Josep Mas-Pla, Subhabrata Panda, Shervan Gharari, Renzo Rosso, J. E. Reynolds, Stefano Ferraris, Saket Pande, Markus Hrachowitz, Laurent Pfister, David E. Robertson, Thomas Skaugen, Roy C. Sidle, Rafael Pimentel, Ross Woods, Alena Bartosova, Erkan Istanbulluoglu, Grant Ferguson, Anam Amin, Chris Hopkinson, Korbinian Breinl, David A. Post, Mathew Herrnegger, Aldo Fiori, Ingelin Steinsland, Dawei Han, Lina Stein, Alberto Viglione, Akhilendra Bhushan Gupta, Bakhram Nurtaev, Maurizio Mazzoleni, Charles H. Luce, Martine van der Ploeg, Ronald van Nooijen, Jean-Philippe Vidal, Tirthankar Roy, Borbála Széles, Jens Kiesel, Cristina Prieto Sierra, Junguo Liu, Hafzullah Aksoy, Andreas Schumann, Pierluigi Claps, Berit Arheimer, Georgia Papacharalampous, Wouter Buytaert, Keirnan Fowler, Ulrich Strasser, David C. Finger, Elena Volpi, Matthew R. Hipsey, Paula Cunha David, Margarida L. R. Liberato, Alexander Gelfan, Barry Croke, V.O. Odongo, David M. Hannah, Günter Blöschl, Hristos Tyralis, Olga Makarieva, Nataliia Nesterova, Bettina Schaefli, Kamshat Tussupova, Guillaume Thirel, Kay Helfricht, Timothy E. Link, Earl Bardsley, Wouter J. M. Knoben, Vazken Andréassian, Ján Szolgay, Mojtaba Shafiei, Jose Luis Salinas, Jan Seibert, Benjamin Fersch, Doris Duethmann, Azhar Inam, Yongqiang Zhang, Giuliano Di Baldassarre, Simon Gascoin, Hugh Smith, Martyn P. Clark, Xiaohong Chen, Maik Renner, Tissa H. Illangasekare, Remko Uijlenhoet, Victor R. Baker, Ravindra Dwivedi, Eric Servat, Christophe Cudennec, Jeffrey J. McDonnell, Sabine M. Spiessl, Yangbo Chen, Thom Bogaard, Wouter R. Berghuijs, María P. González-Dugo, Gilles Boulet, Fernando Nardi, Eric Gaume, Jana von Freyberg, Gil Mahé, Peter Chifflard, Mitja Brilly, William H. Farmer, Monica Riva, James Feiccabrino, Claire Lupton, Anna Scolobig, João H.M. Sá, Przemysław Wachniew, Daniel P. Loucks, Jessica M. Driscoll, Bob Su, Elena Toth, Okke Batelaan, Eric F. Wood, Annette Dathe, David G. Tarboton, Attilio Castellarin, Alla Kolechkina, Björn Guse, Christopher M. U. Neale, Salvatore Grimaldi, Zhonghe Pang, Fuqiang Tian, Marc F. P. Bierkens, Christine Stumpp, Philip J. Ward, Stefan Haun, António Chambel, Riccardo Rigon, Andrea Castelletti, Michael E. Böttcher, Rens van Beek, Gianfausto Salvadori, Adrian A. Harpold, Adrian L. Collins, Hana Hlaváčiková, Clara Hohmann, Koray K. Yilmaz, Technical University of Vienna [Vienna] (TU WIEN), Utrecht University [Utrecht], University of Évora [Portugal], Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Stockholm University, Roma Tre University, Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL), Institut Fédéral de Recherches [Suisse], University of Saskatchewan [Saskatoon] (U of S), Delft University of Technology (TU Delft), Department of Civil and Environmental Engineering [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Department of Civil Chemical Environmental and Materials Engineering [Bologna] (DICAM), University of Bologna, Centre for Ecology and Hydrology [Wallingford] (CEH), Natural Environment Research Council (NERC), Politecnico di Torino [Torino] (Polito), Istanbul Technical University, Department of Land, Environment, Agriculture and Forestry (TeSAF), Universita degli Studi di Padova, Hydrosystèmes continentaux anthropisés : ressources, risques, restauration (UR HYCAR), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Swedish Meteorological and Hydrological Institute (SMHI), Water Resources Section, Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Imperial College London, Sun Yat-Sen University (SYSU), Hohai University, Research Applications Laboratory [Boulder] (RAL), National Center for Atmospheric Research [Boulder] (NCAR), Department of Earth Sciences [ Uppsala], Uppsala University, University of Reykjavik [Islande], Structure et fonctionnement des systèmes hydriques continentaux (SISYPHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE)-MINES ParisTech - École nationale supérieure des mines de Paris-Centre National de la Recherche Scientifique (CNRS), Département Géotechnique, Eau et Risques (IFSTTAR/GER), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM), Water Problems Institute of the Russian Academy of Sciences, Russian Academy of Sciences [Moscow] (RAS), The James Hutton Institute, School of Geography, Earth and Environmental Sciences [Birmingham], University of Birmingham [Birmingham], Center for Experimental Study of Subsurface Environmental Processes (CESEP), Colorado School of Mines, Slovak University of Technology in Bratislava, Hydrology Section, German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), South University of Science and Technology of China, School of Environmental Science and Engineering, Sun Yat-Sen University (SYSU)-Sun Yat-Sen University (SYSU), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Department of Water Science and Engineering, Institute for Water Education (UNESCO–IHE), Università di Bologna [Bologna] (UNIBO), Luxembourg Institute of Science and Technology (LIST), Andalusian Institute of Earth Sciences (IACT), Spanish National Research Council [Madrid] (CSIC), University of Pennsylvania [Philadelphia], Dipartimento di Ingegneria Idraulica, Ambientale, Infrastrutture Viarie, Rilevamento, ICT Institute of Politecnico di Milano, University of Edinburgh, Boise State University, Coventry University, University of the Sunshine Coast (USC), Department of Civil and Environmental Engineering, Utah State University (USU), Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University [Beijing], Wagenigen University, Utrecht Centre for Geosciences, Météo-France [Paris], Météo France, Department of Mathematical Sciences, Durham University, Princeton University, Ege Üniversitesi, Water and Climate Risk, Bloschl G., Bierkens M.F.P., Chambel A., Cudennec C., Destouni G., Fiori A., Kirchner J.W., McDonnell J.J., Savenije H.H.G., Sivapalan M., Stumpp C., Toth E., Volpi E., Carr G., Lupton C., Salinas J., Szeles B., Viglione A., Aksoy H., Allen S.T., Amin A., Andreassian V., Arheimer B., Aryal S.K., Baker V., Bardsley E., Barendrecht M.H., Bartosova A., Batelaan O., Berghuijs W.R., Beven K., Blume T., Bogaard T., Borges de Amorim P., Bottcher M.E., Boulet G., Breinl K., Brilly M., Brocca L., Buytaert W., Castellarin A., Castelletti A., Chen X., Chen Y., Chifflard P., Claps P., Clark M.P., Collins A.L., Croke B., Dathe A., David P.C., de Barros F.P.J., de Rooij G., Di Baldassarre G., Driscoll J.M., Duethmann D., Dwivedi R., Eris E., Farmer W.H., Feiccabrino J., Ferguson G., Ferrari E., Ferraris S., Fersch B., Finger D., Foglia L., Fowler K., Gartsman B., Gascoin S., Gaume E., Gelfan A., Geris J., Gharari S., Gleeson T., Glendell M., Gonzalez Bevacqua A., Gonzalez-Dugo M.P., Grimaldi S., Gupta A.B., Guse B., Han D., Hannah D., Harpold A., Haun S., Heal K., Helfricht K., Herrnegger M., Hipsey M., Hlavacikova H., Hohmann C., Holko L., Hopkinson C., Hrachowitz M., Illangasekare T.H., Inam A., Innocente C., Istanbulluoglu E., Jarihani B., Kalantari Z., Kalvans A., Khanal S., Khatami S., Kiesel J., Kirkby M., Knoben W., Kochanek K., Kohnova S., Kolechkina A., Krause S., Kreamer D., Kreibich H., Kunstmann H., Lange H., Liberato M.L.R., Lindquist E., Link T., Liu J., Loucks D.P., Luce C., Mahe G., Makarieva O., Malard J., Mashtayeva S., Maskey S., Mas-Pla J., Mavrova-Guirguinova M., Mazzoleni M., Mernild S., Misstear B.D., Montanari A., Muller-Thomy H., Nabizadeh A., Nardi F., Neale C., Nesterova N., Nurtaev B., Odongo V.O., Panda S., Pande S., Pang Z., Papacharalampous G., Perrin C., Pfister L., Pimentel R., Polo M.J., Post D., Prieto Sierra C., Ramos M.-H., Renner M., Reynolds J.E., Ridolfi E., Rigon R., Riva M., Robertson D.E., Rosso R., Roy T., Sa J.H.M., Salvadori G., Sandells M., Schaefli B., Schumann A., Scolobig A., Seibert J., Servat E., Shafiei M., Sharma A., Sidibe M., Sidle R.C., Skaugen T., Smith H., Spiessl S.M., Stein L., Steinsland I., Strasser U., Su B., Szolgay J., Tarboton D., Tauro F., Thirel G., Tian F., Tong R., Tussupova K., Tyralis H., Uijlenhoet R., van Beek R., van der Ent R.J., van der Ploeg M., Van Loon A.F., van Meerveld I., van Nooijen R., van Oel P.R., Vidal J.-P., von Freyberg J., Vorogushyn S., Wachniew P., Wade A.J., Ward P., Westerberg I.K., White C., Wood E.F., Woods R., Xu Z., Yilmaz K.K., Zhang Y., Vienna University of Technology (TU Wien), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Politecnico di Torino = Polytechnic of Turin (Polito), Istanbul Technical University (ITÜ), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Sun Yat-Sen University [Guangzhou] (SYSU), Department of Earth Sciences [Uppsala], Université Pierre et Marie Curie - Paris 6 (UPMC)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology of China (SUSTech), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Tsinghua University [Beijing] (THU), Austrian Science Fund (FWF) : DK W1219-N28, Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi Roma Tre = Roma Tre University (ROMA TRE), University of Bologna/Università di Bologna, Università degli Studi di Padova = University of Padua (Unipd), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Southern University of Science and Technology (SUSTech), University of Pennsylvania, Météo-France, Castellarin, A, Tækni- og verkfræðideild (HR), School of Science and Engineering (RU), Háskólinn í Reykjavík, Reykjavik University, Department of Water Resources, UT-I-ITC-WCC, Faculty of Geo-Information Science and Earth Observation, Bloschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., Mcdonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Szeles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andreassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Bottcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., Gonzalez-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlavacikova, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnova, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahe, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Muller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H., Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sa, J. H. M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P., von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., Zhang, Y., Hydrologie, and Landscape functioning, Geocomputation and Hydrology
Subjects: hydrology, science questions, research agenda, interdisciplinary, knowledge gaps, 0208 environmental biotechnology, UT-Hybrid-D, WASS, hydrology, 02 engineering and technology, Oceanografi, hydrologi och vattenresurser, Hydrology and Quantitative Water Management, Oceanography, Hydrology and Water Resources, QE, Þekking, 910 Geography & travel, VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Hydrologi: 454, ComputingMilieux_MISCELLANEOUS, media_common, Water Science and Technology, knowledge gap, [SHS.SOCIO]Humanities and Social Sciences/Sociology, VDP::Landbruks- og Fiskerifag: 900, Hydroglogy, 6. Clean water, Justice and Strong Institutions, TA, Spite, science questions, Discipline, Hydrologie en Kwantitatief Waterbeheer, research agenda, knowledge gaps, interdisciplinary, SDG 16 - Peace, Process (engineering), media_common.quotation_subject, Hidrologia, Vatnafræði, Context (language use), Digital media, ITC-HYBRID, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Hydrology, WIMEK, business.industry, SDG 16 - Peace, Justice and Strong Institutions, Public consultation, Rannsóknir, 500 Science, Bodemfysica en Landbeheer, [SDE.ES]Environmental Sciences/Environmental and Society, Water Resources Management, 020801 environmental engineering, Soil Physics and Land Management, Socio-hydrology, ITC-ISI-JOURNAL-ARTICLE, Aðferðafræði, business, Diversity (politics)
Abstract: Publisher's version (útgefin grein), This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come., We would like to thank the members of the IAHS, EGU, AGU and IAH for supporting this initiative. The LinkedIn group and overall secretariat was hosted by the IAHS, the Splinter meeting by EGU and the Vienna Catchment Science Symposium by the Vienna Doctoral Programme on Water Resource Systems (DK W1219-N28) funded by the Austrian Science Funds (FWF)., "Peer Reviewed"
Published: 2019
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52. Adaptive RTO for Handshaking-based MAC Protocols in Underwater Acoustic Networks

Author: Hua Yu, Fei Ji, Fangjiong Chen, Yide Wang, Quansheng Guan, Yankun Chen, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), 61671211, National Natural Science Foundation of China, 2016A030308006, Guangdong provincial research project, Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: [SPI.OTHER]Engineering Sciences [physics]/Other, Computer Networks and Communications, Computer science, Retransmission, dynamic linear model, Real-time computing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, Throughput, medium access control, 02 engineering and technology, Propagation delay, Round-trip delay time, [SPI.TRON]Engineering Sciences [physics]/Electronics, Bayesian forecasting, Handshaking, Underwater acoustic networks, [SPI]Engineering Sciences [physics], Hardware and Architecture, RTT prediction, 0202 electrical engineering, electronic engineering, information engineering, Bit error rate, 020201 artificial intelligence & image processing, Software, Communication channel
Abstract: Underwater acoustic networks (UANs) are attracting interest in recent decades. The unique characteristics of the underwater acoustic channel, such as long propagation delay, delay variance, and high bit error rate, present challenges for the medium access control (MAC) protocol design in UANs. Most existing medium access control protocols ignore the delay variance which prevents the accurate estimation of round trip time (RTT). The expected RTT value can be used to compute the Retransmission Time-Out (RTO) or the waiting time in MAC. The estimation of RTT is also meaningful for Automatic Repeat re-Quest (ARQ) scheme because the system should ensure reliable data transmissions in the presence of high bit error rate in the underwater acoustic channel. By analyzing the impact of RTO on throughput under the effect of delay variance, we conclude that the fixed RTO is inefficient and RTO should be adaptively set to improve the throughput. We present a novel approach of predicting the RTT using a Bayesian dynamic linear model, and then adjust RTO adaptively according to the predicted values. Simulation results show that the predicted values can adapt quickly to the sample RTT values. Under the effect of RTT fluctuations, the Bayesian algorithm offers performance gains in terms of throughput and prediction performance, comparing with Karn’s algorithm. Our study highlights the value of predicting the RTT using Bayesian approach in underwater acoustic networks.
Published: 2018
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53. Geometry Symmetry of Conjugated Cores along C–Br Bond Effect on the 2D Self-Assembly by Intermolecular H···Br and Br···Br Bonds

Author: Fabien Silly, Jinxing Li, Juntian Wu, Wenli Deng, Xinrui Miao, Siwei Chen, Southern University of Science and Technology (SUSTech), Central South University [Changsha], Laboratoire d'Electronique et nanoPhotonique Organique (LEPO), Service de physique de l'état condensé (SPEC - UMR3680), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut Rayonnement Matière de Saclay (IRAMIS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, and Southern University of Science and Technology [Shenzhen] (SUSTech)
Subjects: [PHYS]Physics [physics], Materials science, Dimer, Intermolecular force, Supramolecular chemistry, Geometry, 02 engineering and technology, Conjugated system, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, law.invention, chemistry.chemical_compound, General Energy, chemistry, law, Side chain, Molecule, Density functional theory, Physical and Theoretical Chemistry, Scanning tunneling microscope, 0210 nano-technology
Abstract: International audience; Supramolecular self-assemblies of bromine substituted benzene and naphthalene derivatives (Br-BC16 and Br-NC16) are investigated using scanning tunneling microscopy at the liquid-solid interface. These two molecules arrange in different linear patterns stabilized by intermolecular H···Br and Br···Br bonds. Due to the different geometry symmetry of conjugated cores along the C–Br bond, the side chains and conjugated cores of Br-BC16 pack with the same direction; however, the side chains of Br-NC16 stretch into different directions along the graphite lattices and the conjugated cores of Br-NC16 in each dimer adopt the reverse orientation. Electrostatic potential (ESP) maps and density functional theory (DFT) calculations show that a pair of intermolecular H···Br bonds between the hydrogen atoms with the positive charge and the bromine atoms with the negative charge in each dimer dominate the structural formation. In addition, a Br···Br bond in each dimer for Br-BC16 and a Br···Br bond between the neighboring dimers for Br-NC16 are formed to stabilize the nanostructures. The results provide insights into the understanding of molecular self-assembly at the liquid-solid interface through the hydrogen bond or the halogen bond for bromine substituted molecules.
Published: 2018
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54. Spatially Correlated Sparse MIMO Channel Path Delay Estimation in Scattering Environments Based on Signal Subspace Tracking

Author: Ali Mohydeen, Yuehua Ding, Yide Wang, Oussama Bazzi, Pascal Chargé, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Lebanese International University (LIU), Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Southern University of Science and Technology (SUSTech), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: Computer science, MIMO, 02 engineering and technology, Impulse (physics), lcsh:Chemical technology, 01 natural sciences, Biochemistry, Article, Analytical Chemistry, 0202 electrical engineering, electronic engineering, information engineering, Wireless, lcsh:TP1-1185, Electrical and Electronic Engineering, Instrumentation, Parametric statistics, Computer Science::Information Theory, Scattering, business.industry, 010401 analytical chemistry, 020206 networking & telecommunications, Effective dimension, Atomic and Molecular Physics, and Optics, [SPI.TRON]Engineering Sciences [physics]/Electronics, 0104 chemical sciences, channel delay estimation, subspace tracking, business, Algorithm, Subspace topology, Communication channel, Signal subspace
Abstract: A parametric scheme for spatially correlated sparse multiple-input multiple-output (MIMO) channel path delay estimation in scattering environments is presented in this paper. In MIMO outdoor communication scenarios, channel impulse responses (CIRs) of different transmit–receive antenna pairs are often supposed to be sparse due to a few significant scatterers, and share a common sparse pattern, such that path delays are assumed to be equal for every transmit–receive antenna pair. In some existing works, an exact common support condition is exploited, where the path delays are considered equal for every transmit–receive antenna pair, meanwhile ignoring the influence of scattering. A more realistic channel model is proposed in this paper, where due to scatterers in the environment, the received signals are modeled as clusters of multi-rays around a nominal or mean time delay at different antenna elements, resulting in a non-strictly exact common support phenomenon. A method for estimating the channel mean path delays is then derived based on the subspace approach, and the tracking of the effective dimension of the signal subspace that changes due to the wireless environment. The proposed method shows an improved channel mean path delays estimation performance in comparison with the conventional estimation methods.
Published: 2018
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55. Using SWAT-LUD Model to Estimate the Influence of Water Exchange and Shallow Aquifer Denitrification on Water and Nitrate Flux

Author: Jeffrey G. Arnold, Raghavan Srinivasan, José Miguel Sánchez Pérez, Youen Grusson, Sabine Sauvage, Léonard Bernard-Jannin, Xiaoling Sun, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), School of Environmental Science and Engineering, Southern University of Science and Technology of China (SUSTech), State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University [China], Institut des Sciences de la Terre d'Orléans - UMR7327 (ISTO), Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Biogéosystèmes Continentaux - UMR7327, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Chaire de Recherche EDS en Previsions et Actions Hydrologiques, Faculté de médecine de l'Université Laval [Québec] (ULaval), Departement of Soil and Environment, Swedish University of Agricultural Sciences (SLU), USDA-ARS : Agricultural Research Service, Texas A&M University [College Station], ANR-11-CEPL-0008,ADAPT'EAU,Adaptation aux variations des régimes hydrologiques (crues-étiages) dans l'Environnement Fluvio-Estuarien de la Garonne-Gironde. Potentialités, mise à l'épreuve et gouvernance d'Options d'Adaptation(2011), Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Southern University of Science and Technology (SUSTech), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Observatoire des Sciences de l'Univers en région Centre (OSUC), and Université Laval [Québec] (ULaval)-Université Laval [Québec] (ULaval)
Subjects: lcsh:Hydraulic engineering, Denitrification, Floodplain, Soil and Water Assessment Tool, 0208 environmental biotechnology, Geography, Planning and Development, Aquifer, 02 engineering and technology, Aquatic Science, Biochemistry, floodplain aquifer, chemistry.chemical_compound, lcsh:Water supply for domestic and industrial purposes, Garonne River, Nitrate, lcsh:TC1-978, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Water Science and Technology, SWAT-LUD model, water exchange, denitrification, Hydrology, lcsh:TD201-500, geography, geography.geographical_feature_category, Discharge, 15. Life on land, 6. Clean water, 020801 environmental engineering, chemistry, [SDU]Sciences of the Universe [physics], Environmental science, Surface water, Groundwater
Abstract: Numerous studies have pointed out the importance of groundwater and surface water interaction (SW–GW) in a river system. However; those functions have rarely been considered in large scale hydrological models. The SWAT-LUD model has been developed based on the Soil and Water Assessment Tool (SWAT) model; and it integrates a new type of subbasin; which is called subbasin-LU (SL); to represent the floodplain area. New modules representing SW–GW exchanges and shallow aquifer denitrification are developed in the SWAT-LUD model. In this study; the SWAT-LUD model was applied to the middle floodplain area of the Garonne catchment in France. The results showed that the SWAT-LUD model could represent the SW–GW exchange and shallow aquifer denitrification appropriately. An annual 44.1 × 107 m3 of water flowed into the river from the study area; but the annual exchanged water volume was 6.4 × 107 m3; which represented just 1% of the river discharge. A total of 384 tons of N-NO3− (0.023 t·ha−1) was consumed by denitrification in the floodplain shallow aquifer annually. The nitrate concentration (N-NO3−) decrease in the channel was 0.12 mg·L−1; but in the shallow aquifer it reached 11.40 mg·L−1; 8.05 mg·L−1; and 5.41 mg·L−1 in LU1; LU2; and LU3; respectively. Our study reveals that; in the Garonne floodplain; denitrification plays a significant role in the attenuation of nitrate associated with groundwater; but the impacts of denitrification on nitrate associated with river water is much less significant.
Published: 2018
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56. Distributed Interference-Aware Cooperative MAC Based on Stackelberg Pricing Game

Author: Yide Wang, Quansheng Guan, Haixia Cui, Han Zhang, South China Normal University, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), 61471176, National Natural Science Foundation of China, S2013010016297, Natural Science Foundation of Guangdong, China, GXKL0614204, Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Computer Networks and Communications, Computer science, Wireless ad hoc network, Distributed computing, Aerospace Engineering, Stackelberg game theory, Terms—Interference, Throughput, Scheduling (computing), law.invention, [SPI]Engineering Sciences [physics], Relay, law, pricing, Computer Science::Networking and Internet Architecture, Stackelberg competition, Wireless, Electrical and Electronic Engineering, Computer Science::Information Theory, Wireless network, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, cooperative communication, medium access control, [SPI.TRON]Engineering Sciences [physics]/Electronics, Channel state information, Automotive Engineering, Resource allocation, business, Relay channel, Communication channel, Computer network
Abstract: International audience; Cooperative communication can significantly enhance the efficient utilization of spectrum in wireless networks.The performance of wireless cooperative networks depends on careful medium access control and resource allocation such asrelay selection and cooperative link scheduling policy for interference management. Most of the previous centralized worksrely on precise instantaneous channel state information (CSI). In this paper, considering the impact of multi-relay linksinterference on relay selection and dynamic spectrum sharing, we propose a fully distributed relay medium access control (MAC)scheme for wireless cooperative networks based on Stackelberg game framework with only one-hop local CSI, where source nodesthat have their own information to send act as leader users and the others act as follower users. In this scenario, each relay nodeprices its spectrum resource to the corresponding source node to maximize its revenue. In addition, the proposed scheme not onlyhelps source nodes to find relay nodes by channel gains and obtain an optimal system performance, but also helps relay nodes tomaximize their revenue by asking suitable resource price. The interactions between the sources and relays leads iteratively to aStackelberg equilibrium, in which the cooperation system achieves high throughput and low transmission delay. Simulationresults are presented to show the effectiveness of the proposed approach.
Published: 2015
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57. Limiter-free discontinuity-capturing scheme for compressible gas dynamics withreactive fronts

Author: Yuya Shimizu, Bin Xie, Raphaël Loubère, Feng Xiao, Xi Deng, Department of Electrical and Electronic Engineering, Southern University of Science and Technology of China (SUSTech), Institut de Mathématiques de Toulouse UMR5219 (IMT), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Tokyo Institute of Technology [Tokyo] (TITECH), Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Los Alamos National Laboratory, Group T-7, Los Alamos National Laboratory ( LANL ), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), and Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
Subjects: General Computer Science, Discretization, Computer science, Detonation, Classification of discontinuities, 01 natural sciences, 010305 fluids & plasmas, symbols.namesake, boundary variation diminishing, stiff detonation waves, [ SPI.FLUID ] Engineering Sciences [physics]/Reactive fluid environment, THINC scheme, 0103 physical sciences, Applied mathematics, 0101 mathematics, [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, Finite volume method, [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment, General Engineering, discontinuities, [ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA], Solver, Euler equations, Hyperbola, 010101 applied mathematics, Discontinuity (linguistics), symbols, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract: International audience; This work proposes a new spatial reconstruction scheme in finite volume frameworks. Different from long-lastingreconstruction processes which employ high order polynomials enforced with some carefully designed limiting pro-jections to seek stable solutions around discontinuities, the current discretized scheme employs THINC (Tangentof Hyperbola for INterface Capturing) functions with adaptive sharpness to solve both smooth and discontinuoussolutions. Due to the essentially monotone and bounded properties of THINC function, difficulties to solve sharpdiscontinuous solutions and complexities associated with designing limiting projections can be prevented. A newsimplified BVD (Boundary Variations Diminishing) algorithm, so-called adaptive THINC-BVD, is devised to reducenumerical dissipations through minimizing the total boundary variations for each cell. Verified through numericaltests, the present method is able to capture both smooth and discontinuous solutions in Euler equations for com-pressible gas dynamics with excellent solution quality competitive to other existing schemes. More profoundly, itprovides an accurate and reliable solver for a class of reactive compressible gas flows with stiff source terms, such asthe gaseous detonation waves, which are quite challenging to other high-resolution schemes. The stiff C-J detonationbenchmark test reveals that the adaptive THINC-BVD scheme can accurately capture the reacting front of the gaseousdetonation, while the WENO scheme with the same grid resolution generates unacceptable results. Owing also to itsalgorithmic simplicity, the proposed method can become as a practical and promising numerical solver for compress-ible gas dynamics, particularly for simulations involving strong discontinuities and reacting fronts with stiff sourceterm.
Published: 2018
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58. Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets

Author: Wim Thiery, Delphine Deryng, Akihiko Ito, Philippe Ciais, Jinfeng Chang, Guoyong Leng, Yadu Pokhrel, Rene Orth, Simon N. Gosling, Joshua Elliott, Xingcai Liu, Thomas Hickler, Hyungjun Kim, Yusuke Satoh, Nikolay Khabarov, Christian Folberth, Hong Yang, Tian Zhou, Sonia I. Seneviratne, Graham P. Weedon, Thomas A. M. Pugh, Joerg Steinkamp, Yoshihide Wada, Martin Hirschi, Junguo Liu, Lukas Gudmundsson, Yoshimitsu Masaki, Catherine Morfopoulos, Alexandra-Jane Henrot, Christoph Müller, Richard Wartenburger, Tobias Stacke, Erwin Schmid, Kazuya Nishina, Xuhui Wang, Sibyll Schaphoff, Qiuhong Tang, Justin Sheffield, Hannes Müller Schmied, Institute for Atmospheric and Climate Science [Zürich] (IAC), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), University of Chicago, Unité de Modélisation du Climat et des Cycles Biogéochimiques (UMCCB), Université de Liège, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, National Institute for Environmental Studies (NIES), Korea Advanced Institute of Science and Technology (KAIST), Southern University of Science and Technology [Shenzhen] (SUSTech), Potsdam Institute for Climate Impact Research (PIK), Department of Civil and Environmental Engineering [Ann Arbor] (CEE), University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Natural Resources and Life Sciences (BOKU), Department of Civil and Environmental Engineering [Princeton], Princeton University, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University [Beijing], European Research Council DROUGHT-HEAT project 617518 Office of Science of the US Department of Energy as part of the Integrated Assessment Research Program US DOE DE-AC05-76RLO1830 DECC GA01101 National Natural Science Foundation of China 41625001 41571022 Southern University of Science and Technology G01296001 Defra Integrated Climate Program - DECC/Defra GA01101, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), and Hydrology and Hydraulic Engineering
Subjects: PARAMETERIZATION, 010504 meteorology & atmospheric sciences, 0208 environmental biotechnology, REANALYSIS DATA, 02 engineering and technology, Forcing (mathematics), 01 natural sciences, ISIMIP2a, Environmental Science(all), Evapotranspiration, ddc:550, Range (statistics), Cluster Analysis, Meteorology & Atmospheric Sciences, WATER, Water cycle, uncertainty, General Environmental Science, Uncertainty, Variance (accounting), Explained variation, GLOBAL TERRESTRIAL EVAPOTRANSPIRATION, Variable (computer science), [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, Climatology, Physical Sciences, Life Sciences & Biomedicine, PROJECT, HYDROLOGICAL MODELS, evapotranspiration, Climate change, Environmental Sciences & Ecology, SOIL-MOISTURE, hydrological extreme events, LAND-SURFACE MODEL, cluster analysis, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Hydrological extreme events, 0105 earth and related environmental sciences, Science & Technology, Renewable Energy, Sustainability and the Environment, Public Health, Environmental and Occupational Health, POTENTIAL EVAPOTRANSPIRATION, 020801 environmental engineering, Earth sciences, 13. Climate action, Environmental science, Environmental Sciences, HIGH-RESOLUTION
Abstract: Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and anessential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties thatare impeding a precise attribution of human-induced climate change. Here, we aim at comparing arange of independent global monthly land ET estimates with historical model simulations from theglobal water, agriculture, and biomes sectors participating in the second phase of the Inter-SectoralImpact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use theEartH2Observe Tier-1 dataset (E2O), two commonly used reanalyses, a pre-compiled ensembleproduct (LandFlux-EVAL), and an updated collection of recently published datasets thatalgorithmically derive ET from observations or observations-based estimates (diagnostic datasets). Acluster analysis is applied in order to identify spatio-temporal differences among all datasets and tothus identify factors that dominate overall uncertainties. The clustering is controlled by several factorsincluding the model choice, the meteorological forcing used to drive the assessed models, the datacategory (models participating in the different sectors of ISIMIP2a, E2O models, diagnostic estimates,reanalysis-based estimates or composite products), the ET scheme, and the number of soil layers inthe models. By using these factors to explain spatial and spatio-temporal variabilities in ET, we findthat themodel choicemostly dominates (24%–40%of variance explained), except for spatio-temporalpatterns of total ET, where the forcing explains the largest fraction of the variance (29%). The mostdominant clusters of datasets are further compared with individual diagnostic and reanalysis-basedestimates to assess their representation of selected heat waves and droughts in the Great Plains,Central Europe and western Russia. Although most of the ET estimates capture these extreme events,the generally large spread among the entire ensemble indicates substantial uncertainties.
Published: 2018
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59. Erratum: 'First Search for Gravitational Waves from Known Pulsars with Advanced LIGO' (2017, ApJ, 839, 12)

Author: M. Lee, G. Kang, M. Razzano, A. Pal-Singh, V. Kondrashov, A. Nitz, A. Hu, Kazuhiro Agatsuma, Zoheyr Doctor, Karan Jani, F. Frasconi, R. Mittleman, J. De, Nelson Christensen, Gijs Nelemans, William Yam, L. Wallace, A. Królak, R. Frey, R. Williams, Y. Minenkov, M. Turconi, Jolien D. E. Creighton, R. Flaminio, T. Whelan, Adam A. Miller, Soumi De, G. Mendell, J. Trinastic, L. Kuo, E. Capocasa, K. Blackburn, A. Schönbeck, S. Brunett, M. Haney, H. Wittel, S. G. Schwalbe, T. A. Callister, N. Kijbunchoo, K. Holt, Chunglee Kim, V. Sandberg, B. Shapiro, D. Hall, Carsten Kramer, B. Hobbs, V. Dolique, Vincenzo Pierro, R. Kirchhoff, T. Theeg, M. Hu, M. Phelps, B. Day, A. Avila-Alvarez, K. Gill, Walter Winkler, Harald Lück, B. U. Gadre, Sebastien Biscans, J. Prasad, Reinhard Prix, J. Li, B. Eggenstein, Paul D. Lasky, Q. Chu, Jade Powell, A. Bisht, Marco Bazzan, H. Qi, M. Branchesi, Zefeng Zhou, S. Ma, M. Ast, O. E. S. Sauter, J. Woehler, M. Prijatelj, M. Cho, G. Gaur, A. Clark, B. Coughlin, Thanh Phuong Nguyen, S. Hu, R. L. Ward, G. Hemming, Alvaro-Miguel Fernandez Galiana, C. Mcguire, Steven Bloemen, K. Izumi, T. M. C. Abbott, L. Pinard, Odylio D. Aguiar, Matthew Pitkin, N. Ma, C. Baune, D. Ugolini, J. Eichholz, L. Schaaf, B. L. Pearlstone, Michael Thomas, Sanjeev Dhurandhar, V. Fafone, M. Bader, N. A. Lockerbie, J. Lang, C. C. Buchanan, László Gondán, P. Pfeiffer, S. Kim, A. Cumming, Federico Ferrini, G. Vajente, G. P. Newton, A. Bohe, M. Fyffe, E. Goetz, S. Penn, M. Lormand, M. C. Heintze, Blake Moore, Carlos O. Lousto, B. Braginsky, M. Wade, Kendall Ackley, M. Granata, F. Garufi, Gabriela Gonzalez, V. Dattilo, F. Carbognani, A. Bilenko, Minchuan Zhou, P. Popolizio, Koji Arai, M. Shoemaker, Tejinder Kaur, T. De, Stefan Hild, Y. Ma, A. Brillet, J. Schmidt, J. Ma, M. Vardaro, F. Robinet, P. Fulda, F. Baldaccini, J. Cho, S. Chu, T. Zhang, M. Wei, L. Stuver, B. Kanner, S. G. Crowder, B. Li, P. Ajith, D. Passuello, Andrew Lyne, R. Passaquieti, S. Ascenzi, J. Daw, J. King, M. Factourovich, T. Hardwick, D. Steinmeyer, Fabrizio Barone, Alessandro Bertolini, F. Travasso, A. Viceré, Michał Bejger, E. Katsavounidis, Yi Chen, S. E. Barclay, K. S. Karvinen, Ofek Birnholtz, J. Betzwieser, M. C. Araya, Antoine Heidmann, R. Corbitt, E. Rhoades, Thibaut Jacqmin, Lucas Guillemot, C. Messenger, M. J. Hart, A. Quintero, A. Chiummo, C. Lazzaro, Patricia Schmidt, V. Brisson, H. Radkins, Mairi Sakellariadou, C. De, J. Warner, S. Rabeling, Laleh Sadeghian, G. Gemme, M. Drago, Guenakh Mitselmakher, R. Wade, L. Miller, B. A. Boom, A. M. Sergeev, O. V. Palashov, F. Piergiovanni, K. Gustafson, R. Wei, Surabhi Sachdev, Christopher J. Moore, M. Scott, Michael L. Gorodetsky, Ryan Lynch, C. I. Torrie, S. Wu, N. Straniero, F. Ricci, V. Gayathri, V. V. Frolov, M. Poe, L. Ma, J. Lehmann, T. D. Creighton, Badri Krishnan, Chang-Hwan Lee, S. Leavey, G. Pillant, R. Morriss, F. Brand, M. C. Edwards, H. Heitmann, I. Ma, N. Leroy, M. Kasprzack, J. Howell, C. Affeldt, E. Schreiber, G. McIntyre, J. Bulten, Debnandini Mukherjee, Luciano Di Fiore, C. Whittle, A. Sawadsky, E. Chassande-Mottin, Douglas Davis, H. Fair, Andrea Taracchini, D. Bersanetti, S. Mirshekari, D. Töyrä, H. Overmier, Juan Antonio Aguilar Sanchez, J. E. Broida, D. Sellers, J. Meidam, Alessandro Corongiu, Riccardo Sturani, R. Ingram, B. Ma, C. Driggers, D. Hoak, Samuele Cortese, Yu Wang, J. Oram, M. Sintes, Piotr Jaranowski, B. Kozak, B. K. Berger, Fabien Kéfélian, J. H. Hough, L. Willis, P. Kumar, Michele Zanolin, Sheila Rowan, D. Sentenac, A. Bozzi, K. Ma, Roman Schnabel, J. E. Brau, T. Vo, R. Bonnand, K. E. Gushwa, F. Costa, M. Pürrer, Andrew Melatos, M. Lorenzini, S. Cho, F. Oh, O. Lebigot, Luca Gammaitoni, D. Hu, B. R. Hall, L. Re, Tenglin Li, M. Guidi, I. Kowalska, T. Sadecki, D. Fiorucci, G. Kuehn, W. Z. Korth, L. Rolland, N. Indik, M. Mohan, B. Kelley, K. A. Strain, K. Haughian, J. Re, S. Vinciguerra, John D. Scott, W. Pratt, S. Grunewald, C. Batch, Catherine M. McGrath, R. 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Greco, Howard Pan, Aaron Buikema, A. Mytidis, R. Kennedy, Geoffrey Lovelace, P. Brockill, S. S. Eikenberry, C. C. Wipf, C. Ferreira, E. Cesarini, A. Shaddock, C. Aulbert, Laura Cadonati, Yanxi Zhang, L. Kleybolte, R. Roma, A. Moggi, J. Ming, A. Noack, L. J. Milano, V. Heijningen, B. C. Barish, M. Tonelli, G. Losurdo, R. Metzdorff, L. Conti, R. Abernathy, Christian Beer, C. Green, D. Talukder, M. Leonardi, P. Schale, Swatantra Kumar Tiwari, M. Montani, J. Zhu, R. L. Savage, A. S. Bell, M. Laxen, Rosa Poggiani, V. Frey, David A. Williams, David Jones, A. Perreca, J. Ju, M. J. Cowart, W. De, A. Pele, T. Baker, P. Weßels, G. Stratta, S. Buchner, Jesper Munch, Jan Harms, A. S. Sengupta, Nancy Aggarwal, Marco Cavaglia, Dániel Barta, Ben Farr, B. Mours, Benjamin William Allen, Christophe Collette, H. Cao, C. J. Perez, J. Ottaway, R. Robie, Marc Favata, Sung-Po Chao, T. Isogai, Carl Blair, Abhirup Ghosh, S. S. Forsyth, J. Vine, Karsten Danzmann, Y. Levin, Zahoor Ali Khan, Archana Pai, T. 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Zhao, Michael E Zucker, Marek Szczepanczyk, C. Bradaschia, P. Oppermann, A. Li, C. Tomlinson, J. D. Lough, Soma Mukherjee, Imre Bartos, N. Bakel, B. D. Lackey, A. K. Zadrożny, M. Isa, M. Meyers, K. Kawabe, R. Cavalier, R. Mohapatra, S. Kaufer, Michael W. Coughlin, P. Singer, I. Khan, M. Was, Antonios Kontos, F. Cleva, M. Pichot, K. Venkateswara, M. Du, S. Re, P. Zendri, E. Cuoco, B. Camp, A. Gupta, V. Quetschke, Bangalore Suryanarayana Sathyaprakash, M. Fays, R. Abbott, M. Saleem, Peter Aufmuth, R. Sanders, S. J. Chamberlin, E. Ma, Maximiliano Isi, M. Vasúth, Z. Frei, Martin M. Fejer, R. Bork, Junwei Cao, Eugeniy E. Mikhailov, D. Schuette, J. C. Diaz, Xiaohui Fan, S. Heng, A. Post, Richard O'Shaughnessy, B. Barr, Peter Fritschel, G. Vedovato, Terry G. McRae, S. Meshkov, Jonathan Cripe, K. G. Arun, S. Márka, I. Dave, L. E. Wade, P. Thomas, A. Singer, H. Gabbard, V. De, R. W. P. Drever, M. Fletcher, S. Ghosh, Kipp Cannon, M. Steinke, V. Sequino, S. Caride, W. Harry, Juan Calderón Bustillo, Robert Stone, M. Coward, Kevin M. Ryan, Sibilla Di Pace, P. Bacon, J.-D. Fournier, Daniel E. Holz, Graham Woan, Robert Fisher, W. W. Johnson, M. Korobko, László Á. Gergely, D. Meacher, A. Rüdiger, M. Farr, A. Frei, P. A. Altin, Robert L. Byer, B. J. J. Slagmolen, G. Valdes, A. Samajdar, C. C. Yancey, R. Palamos, D. Barker, G. Blair, Philip F. Hopkins, C. Vander-Hyde, Fausto Acernese, M. Papa, Paul J. Groot, M. Zevin, L. Zangrando, R. Saulson, T. Prestegard, Jacob Scheuer, B. Patricelli, Margaret Millhouse, W. G. Anderson, G. Cella, A. Glaefke, B. Covas, S. Oh, M. De, Mi Zhang, C. Gray, G. H. Ogin, Enrico Calloni, John Veitch, G. Traylor, H. Yu, V. Re, Giacomo Ciani, R. A. Eisenstein, M. Pinto, L. Salconi, I. Fiori, S. G. Gaonkar, A. P. Singh, Haixing Miao, V. Vo, Benjamin Stappers, G. D. Meadors, Bernard F. Schutz, B. P. Abbott, M. Mow-Lowry, G. Bogaert, Li Ju, Alberto Di Lieto, M. Harry, N. Arnaud, T. Hu, T. J. Shaffer, R. N. Singh, S. Vass, Vijay Varma, Riccardo Bassiri, L. Wright, P. Rapagnani, Archisman Ghosh, K. L. Dooley, C. V. Kalaghatgi, J. Hanson, R. Coyne, K. Napier, T. Tippens, M. Castro, J. McIver, C. Raja, P. J. King, H. Vahlbruch, K. Riles, Lisa Barsotti, C. Pan, Anirban Dasgupta, R. J. G. Jonker, Guido Mueller, B. C. Stephens, Larne Pekowsky, L. Lombardi, H. Middleton, M. Kim, V. Tiwari, P. Mitrofanov, P. Puppo, Aaron Viets, M. Perri, M. H. Wimmer, F. Fidecaro, A. Effler, P. Weltevrede, G. Venugopalan, Meng Wang, Tristan Briant, L. Sun, V. Ma, S. Appert, A. Giazotto, G. De, J. Qi, L. Danilishin, Swetha Bhagwat, R. Paris, X. Guo, K. Siellez, Evan Ochsner, S. E. Gossan, L. Merilh, H. Fehrmann, R. Goetz, K. A. Thorne, S. Koley, T. Countryman, D. Moraru, F. Mezzani, J. Fauchon-Jones, P. Shawhan, I. Ferrante, V. Boschi, B. Cepeda, M. Gupta, D. Pascucci, Jimin George, M. Sieniawska, M. Landry, Gregory Ashton, Tarun Souradeep, Christopher P. L. Berry, A. D. Silva, M. Fries, P. Hello, Bala R. Iyer, S. 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Hennig, A. Khazanov, S. Walsh, Miriam Cabero, Alessandra Buonanno, C.-J. Haster, Collin D. Capano, J. Bartlett, S. Babak, P. Leaci, A. Colla, P. Stevenson, D. Nolting, O. Puncken, P. J. Sutton, G. Thomas, J. H. Romie, R. Douglas, S. Ghonge, F. J. Raab, N. Mukund, L. R. Cominsky, R. Gustafson, G. Wu, S. Raja, S. E. Strigin, J. Zweizig, L. C. Baiardi, Sebastian Steinlechner, D. Mendoza-Gandara, Jessica Steinlechner, A. Neunzert, T. Chmiel, M. Heurs, H. Re, V. Germain, Sylvia J. Zhu, K. Nuttall, Reed Essick, R. Everett, Krishna M. Srivastava, B. Sorazu, A. Kutynia, Alessandro Ridolfi, Andrea Chincarini, T. Z. Summerscales, W. Katzman, M. Neri, R. Billman, M. Yvert, Martin van Beuzekom, C. Frei, L. Trozzo, P. Ehrens, Albert Lazzarini, M. Giovanni, M. Newport, Samaya Nissanke, M. A. Bizouard, J. J. Hacker, A. Pace, Ismaël Cognard, J. Birch, E. Coccia, C. Graef, B. A. Weaver, J. G. Rollins, L.-W. Wei, P. Chen, N. A. Robertson, William Parker, Márton Tápai, S. Sun, David Jonathan Hofman, M. Bitossi, G. Bergmann, B. Nielsen, J. Henry, Liam Cunningham, B. Pan, Beverly J. Smith, K. Wette, John J. Oh, Timothy Evans, Jonathan Blackman, M. Brinkmann, K. Toland, C. Adams, R. M. Blair, D. Sigg, S. W. Ballmer, M. E. N. Normandin, Michelle E. Walker, G. Moreno, Y. Setyawati, A. Pasqualetti, M. M. Hanke, M. Tse, B. L. Swinkels, F. Jiménez-Forteza, Zachariah B. Etienne, Jennifer Watchi, J. Son, Yann Bouffanais, R. De, T. P. Downes, M. Pedraza, M. Chan, A. Ain, T. D. Canton, F. Cavalier, M. A. Álvarez, M. Boer, F. Cohadon, Alessandra Corsi, J. E. Lord, Maurizio Canepa, Paolo Addesso, K. D. Giardina, Angela Di Virgilio, T. London, Department of Physics [Toronto], University of Toronto, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Max-Planck-Gesellschaft, Los Alamos National Laboratory (LANL), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Max Delbrück Center for Molecular Medicine [Berlin] (MDC), Helmholtz-Gemeinschaft = Helmholtz Association, APC - Cosmologie, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Physique Corpusculaire et Cosmologie - Collège de France (PCC), Collège de France (CdF (institution))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Department of Physics, Columbia University [New York], Dipartimento di Physica E. Firmi, University of Pisa - Università di Pisa, Department of Astrophysics [Nijmegen], Institute for Mathematics, Astrophysics and Particle Physics (IMAPP), Radboud University [Nijmegen]-Radboud University [Nijmegen], LAboratoire de REcherche en Géodésie [Paris] (LAREG), Laboratoire des Sciences et Technologies de l'Information Géographique (LaSTIG), École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN)-École nationale des sciences géographiques (ENSG), Institut National de l'Information Géographique et Forestière [IGN] (IGN)-Institut National de l'Information Géographique et Forestière [IGN] (IGN), Observatoire de Haute-Provence (OHP), Institut Pythéas (OSU PYTHEAS), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux (ARTEMIS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des matériaux avancés (LMA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Thermique de Lyon (CETHIL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Kastler Brossel (LKB (Jussieu)), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Institut Charles Sadron (ICS), Université de Strasbourg (UNISTRA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), APC - THEORIE, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut für theoretische Physik, Universität Hamburg (UHH)-Universität Hamburg (UHH), Physics Department, Amherst U., University of Massachusetts System (UMASS), Biomécanique et Bioingénierie (BMBI), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Grupo de Investigación en Energía y Medioambiente [Bucaramanga]] (GIEMA), Universidad Industrial de Santander [Bucaramanga] (UIS), Chambre Agriculture Gard, Observatoire de la Côte d'Azur (OCA), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), European Organization for Nuclear Research (CERN), Département de Physique Nucléaire (ex SPhN) (DPHN), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de Recherche Saint-Antoine (UMRS893), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Groupe d'étude des réseaux moteurs - GERM (GERMG), Université de la Méditerranée - Aix-Marseille 2-Centre National de la Recherche Scientifique (CNRS), Edmund Mach Foundation (FEM), Department of Geography, Swansea University, Département de Pharmacologie, sherbrooke, Istituto Nazionale di Fisica Nucleare, Sezione di Genova (INFN, Sezione di Genova), Istituto Nazionale di Fisica Nucleare (INFN), Leibniz Universität Hannover=Leibniz University Hannover, Laboratoire des symbioses tropicales et méditerranéennes (UMR LSTM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Department of Entomology, University of Arkansas [Fayetteville], NASA Goddard Space Flight Center (GSFC), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Hulleras del Norte, S.A., Laboratoire d'Ingénierie des Matériaux de Bretagne (LIMATB), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO), European gravitational Observatory (EGO), Istituto Nazionale di Fisica Nucleare (INFN)-Centre National de la Recherche Scientifique (CNRS), School of Electrical and Computer Engineering - Georgia Insitute of Technology (ECE GeorgiaTech), Georgia Institute of Technology [Atlanta], CNR Institute of Geosciences and Earth Resources (IGG), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Imagerie Ultrasonore, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Delhi (IIT Delhi), Bayerische Julius-Maximilians University, Tata Institute for Fundamental Research (TIFR), Istituto Nazionale di Fisica Nucleare, Sezione di Firenze (INFN, Sezione di Firenze), Évolution, génomes, comportement et écologie (EGCE), Université Paris-Sud - Paris 11 (UP11)-IRD-Centre National de la Recherche Scientifique (CNRS), Institut Européen des membranes (IEM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'Energie Atomique, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Max-Planck-Institut für Quantenoptik (MPQ), University of Glasgow, College of Environmental Sciences and Engineering [Peking], Peking University [Beijing], East China Normal University [Shangaï] (ECNU), School of Dentistry and Dental Research Institute [UCLA], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Laboratoire Kastler Brossel (LKB (Lhomond)), Chinese Academy of Sciences [Beijing] (CAS), University of Minnesota System, Inconnu, Informatics and Telematics Institute/Centre for Research Hellas, Instituto de RadioAstronomía Milimétrica (IRAM), Centre National de la Recherche Scientifique (CNRS), Civil and Environmental Engineering [Illinois] (CEE), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Helmholtz zentrum für Schwerionenforschung GmbH (GSI), Imagerie Moléculaire et Nanobiotechnologies - Institut Européen de Chimie et Biologie (IECB), Université Sciences et Technologies - Bordeaux 1 (UB)-Centre National de la Recherche Scientifique (CNRS), Univ Turin, Dept Chem, Via P Giuria 7, I-10125 Turin, Italy, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), ArcelorMittal Maizières Research SA, ArcelorMittal, Dauphine Recherches en Management (DRM), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Tsinghua University [Beijing] (THU), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL), Department of Radiation Oncology, Andrew Love Cancer Centre, Institut de Physique Nucléaire d'Orsay (IPNO), Division of Geological and Planetary Sciences [Pasadena], California Institute of Technology (CALTECH), DME (Dept. of Mech. Eng.), Hong Kong University of Science and Technology (HKUST), University of Huddersfield, Institut de biologie et chimie des protéines [Lyon] (IBCP), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Key Laboratory of of Optical Astronomy, University of Delaware [Newark], University of Bath [Bath], Géosciences Environnement Toulouse (GET), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Rothamsted Research, Biotechnology and Biological Sciences Research Council (BBSRC), Dipartimento di Fisica [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Friction Stir Laboratory, Brigham Young University (BYU), Institut de recherches sur la catalyse et l'environnement de Lyon (IRCELYON), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de rhéologie (LR), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical Engineering, Sogang University, parent, Laboratoire de Mesures et Modélisation de la Migration des Radionucléides (L3MR), Service d'Etudes du Comportement des Radionucléides (SECR), Département de Physico-Chimie (DPC), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Département de Physico-Chimie (DPC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Istituto Nazionale di Fisica Nucleare, Sezione di Catania (INFN), Università degli studi di Catania = University of Catania (Unict), Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement UMRT9002 (UMRESTTE), Université de Lyon-Université de Lyon-Institut National de Recherche sur les Transports et leur Sécurité (INRETS)-Institut de Veille Sanitaire (INVS), Institut d'Electronique du Solide et des Systèmes (InESS), The Istituto dei Materiali per l'Elettronica ed il Magnetismo (IMEN) (IMEN-CNR), Southern University of Science and Technology (SUSTech), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, Istituto Matematico, Scuola Normale Superiore di Pisa (SNS), SensorDynamics AG, Institut d'Astrophysique de Paris (IAP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), ESRL Chemical Sciences Division [Boulder] (CSD), NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Physics Department, University of Wisconsin at Milwaukee, University of Wisconsin - Milwaukee, Departements of Chemistry and Biochemistry, Seattle University [Seattle], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Institute for Plasma Research [Gandhinagar], Zurich Research Laboratory, IBM Research GmbH, Dipartimento di Fisica e Astronomia [Firenze], Università degli Studi di Firenze = University of Florence (UniFI), National Physical Laboratory [Teddington] (NPL), Centre d'étude spatiale des rayonnements (CESR), Université Toulouse III - Paul Sabatier (UT3), Department of Materials Science and Engineering, Cornell University, USA, Cornell University [New York], Banaras Hindu University [Varanasi] (BHU), University of South Carolina [Columbia], The McDonnell Genome Institute (MGI), Washington University in Saint Louis (WUSTL), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Università della Calabria [Arcavacata di Rende] (Unical), Università degli studi di Torino = University of Turin (UNITO), Techniques pour l'Evaluation et la Modélisation des Actions de la Santé (TIMC-IMAG-ThEMAS), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Key Lab of Computer System and Architecture, Institute of Computing Technology [Beijing] (ICT), National Center for Atmospheric Research [Boulder] (NCAR), Shenzhen University, Centre for Ultrahigh Bandwidth Devices for Optical Systems (CUDOS), Macquarie University, Texas Instruments Dallas, Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Beijing Normal University (BNU), Laboratori Nazionali di Legnaro (LNL), AIR (AIR), Université de Lyon-Université de Lyon-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), National Astronomical Observatories [Beijing] (NAOC), Pathologie et virologie moléculaire (PVM (UMR_7151)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), SFA Inc/NRL (SFA INC/NRL), SFA Inc/NRL, Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Unité Scientifique de la Station de Nançay (USN), Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), INAF - Osservatorio Astronomico di Cagliari (OAC), Istituto Nazionale di Astrofisica (INAF), Australian Resources Research Centre (CSIRO), Department of Physics [Seattle], University of Washington [Seattle], Jodrell Bank Centre for Astrophysics, University of Manchester [Manchester], CSIRO Astronomy and Space Science, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Jodrell Bank Centre for Astrophysics (JBCA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Radboud university [Nijmegen]-Radboud university [Nijmegen], Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut de Recherche pour le Développement (IRD), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université Pierre et Marie Curie - Paris 6 (UPMC)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université de Strasbourg (UNISTRA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut für theoretische Physik, Leibniz Universität Hannover [Hannover] (LUH), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Université de Bretagne Sud (UBS)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), Consiglio Nazionale delle Ricerche (CNR), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), University of California-University of California, Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Université Sciences et Technologies - Bordeaux 1-Centre National de la Recherche Scientifique (CNRS), Chinese Academy of Sciences [Changchun Branch] (CAS)-National Astronomical Observatories of China, Photonics and photonic materials group, Departement of Physics, University of bath, Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Department of Physics [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique de Grenoble (INPG)-Université Joseph Fourier - Grenoble 1 (UJF), Università degli studi di Catania [Catania], Institut National de Recherche sur les Transports et leur Sécurité (INRETS)-Institut de Veille Sanitaire (INVS)-Université Claude Bernard Lyon 1 (UCBL), Consiglio Nazionale delle Ricerche [Roma] (CNR), Southern University of Science and Technology of China (SUSTech), Scuola Normale Superiore, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Dipartimento di Fisica and LENS, Università di Firenze-INFN, LENS, INFN, Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Università degli studi di Torino (UNITO), Laboratoire Réactions et Génie des Procédés (LRGP), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), Centre National de la Recherche Scientifique (CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Max-Delbrück-Center for Molecular Medicine (MDC), Center for Molecular Medicine, Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut für theoretische Physik, Grupo de Investigación en Energía y Medioambiente (GIEMA), Centre de Recherche Saint-Antoine (CR Saint-Antoine), National Institute for Nuclear Physics (INFN), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Ecosystèmes forestiers (UR EFNO), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Tata Institute of Fundamental Research [Bombay] (TIFR), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Centre National de la Recherche Scientifique (CNRS), University of Minnesota, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Civil and Environmental Engineering (CEE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Tsinghua University [Beijing], ESPCI ParisTech, Institute of Climate System, Chinese Academy of Meteorological Sciences (CAMS), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES), Università degli Studi di Roma 'La Sapienza' [Rome], CEA-Direction de l'Energie Nucléaire (CEA-DEN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-CEA-Direction de l'Energie Nucléaire (CEA-DEN), Institut de Physique Nucléaire de Lyon (IPNL), University of Wisconsin at Milwaukee, Institute for Plasma Research, MN2S, Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Cornell University, Washington University in St Louis, Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-IMAG-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-IMAG-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), CentraleSupélec-Université de Lorraine (UL), LAboratoire PLasma et Conversion d'Energie (LAPLACE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Beijing Normal University, Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Pathologie et virologie moléculaire (PVM), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National d’Études Spatiales [Paris] (CNES), Université d'Orléans (UO)-Observatoire des Sciences de l'Univers en région Centre (OSUC), PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Institut für theoretische Physik, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), California Institute of Technology (CALTECH)-NASA, Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), and Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université Claude Bernard Lyon 1 (UCBL)
Subjects: Physics, [PHYS]Physics [physics], Gravitational wave, Astronomy, Astronomy and Astrophysics, 01 natural sciences, LIGO, Pulsar, Space and Planetary Science, 0103 physical sciences, 010306 general physics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017
Full Text: View/download PDF

60. Signal Subspace Smoothing Technique for Time Delay Estimation Using MUSIC Algorithm

Author: Jingjing Pan, Yuehua Ding, Meng Sun, Cedric Le Bastard, Yide Wang, Shanghai Maritime University, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: [SPI.OTHER]Engineering Sciences [physics]/Other, Computer science, Time Delay Estimation (TDE), 0211 other engineering and technologies, 02 engineering and technology, signal subspace, sub-band averaging technique, radar, lcsh:Chemical technology, Biochemistry, Article, Analytical Chemistry, law.invention, Quality (physics), law, 0202 electrical engineering, electronic engineering, information engineering, lcsh:TP1-1185, Multiple signal classification, Electrical and Electronic Engineering, Radar, Instrumentation, 021101 geological & geomatics engineering, Noise (signal processing), 020206 networking & telecommunications, Pulse (music), Atomic and Molecular Physics, and Optics, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Smoothing, Signal subspace
Abstract: International audience; In civil engineering, Time Delay Estimation (TDE) is one of the most important tasks forthe media structure and quality evaluation. In this paper, the MUSIC algorithm is applied to estimatethe time delay. In practice, the backscattered echoes are highly correlated (even coherent). In order toapply the MUSIC algorithm, an adaptation of signal subspace smoothing is proposed to decorrelatethe correlation between echoes. Unlike the conventional sub-band averaging techniques, we proposeto directly use the signal subspace, which can take full advantage of the signal subspace and reducethe influence of noise. Moreover, the proposed method is adapted to deal with any radar pulse shape.The proposed method is tested on both numerical and experimental data. Both results show theeffectiveness of the proposed method.
Published: 2017
Full Text: View/download PDF

61. Accelerating Lattice Chromodynamics (LQCD) Simulations with Value Prediction

Author: Tang, Jie, Liu, Shaoshan, Liu, Chen, Eisenbeis, Christine, Gaudiot, Jean-Luc, Southern University of Science and Technology (SUSTech), PerceptIn, Clarkson University, Systèmes parallèles (LRI) (ParSys - LRI), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria), University of California [Irvine] (UC Irvine), University of California (UC), Southern University of Science and Technology [Shenzhen] (SUSTech), University of California [Irvine] (UCI), and University of California
Subjects: [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Abstract: International audience; Communication latency problems are universal and have become a major performance bottleneck as we scale in distributed computing architectures. Specifically, research institutes around the world have built specialized supercomputers with powerful computation units in order to accelerate scientific computation. However, the problem often comes from the communication side instead of the computation side. In this paper we first demonstrate the severity of communication latency problems. Then we use Lattice Quantum Chromo Dynamic (LQCD) simulations as a case study to show how value prediction techniques can reduce the communication overheads, thus leading to higher performance without adding more expensive hardware. In detail, we first implement a software value predictor on LQCD simulations: our results indicate that 22.15% of the predictions result in performance gain and only 2.65% of the predictions lead to rollbacks. Next we explore the hardware value predictor design, which results in a 20-fold reduction of the prediction latency. In addition, based on the observation that the full range of floating point accuracy may not be always needed, we propose and implement an initial design of the tolerance value predictor: as the tolerance range increases, the prediction accuracy also increases dramatically.
Published: 2017

62. A Novel Threshold based Compressed Channel Sensing in OFDM System

Author: Guillaume Andrieux, Suili Feng, Zhiwen Yu, Yide Wang, Hui Xie, School of Electronic Information Engineering, Tianjin University (TJU), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), School of Electronic and Information Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), This work was supported by China Scholarship Council, China (No. 2010615039), Research Fund of Tianjin University of Technology and Education, Tianjin, China (Nos. KRKC011614 and KJ15-16) and Science and Technology Planning Project of Guangdong Province, China (Nos. 2015A050502011 and 2016A010101009)., Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: Engineering, Orthogonal frequency-division multiplexing, orthogonal matching pursuit, Channel estimation, 02 engineering and technology, Data_CODINGANDINFORMATIONTHEORY, Least squares, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, threshold, Electrical and Electronic Engineering, Computer Science::Information Theory, OFDM, compressed sensing, sparse channels with large delay spreads, business.industry, Noise (signal processing), 020208 electrical & electronic engineering, 020206 networking & telecommunications, Matching pursuit, [SPI.TRON]Engineering Sciences [physics]/Electronics, Compressed sensing, Channel state information, business, Data transmission, Communication channel
Abstract: International audience; High speed data transmission for wireless communication in orthogonal frequency division multiplexing (OFDM) system requires effective channel state information (CSI). CSI should be precisely estimated with low consumption of spectral resources and acceptable computational cost. To realize this goal, an effective compressed sensing (CS) based channel estimation scheme is proposed for sparse channels with large delay spreads, without prior knowledge of channel statistics and noise standard deviation. By fully considering the rank of the measurement matrix, a novel algorithm based on orthogonal matching pursuit (OMP) and least squares (LS) methods with a new threshold is proposed for effective channel estimation. Simulation results show that with fewer number of pilots, the proposed method outperforms the compared existing channel estimation methods in a comprehensive way and approaches the optimal channel estimation performance.
Published: 2017
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63. 3D nanostructured hybrid materials for photonics and sensing applications

Author: Jradi, Safi, Peng, Ying, Issa, Ali, Moughames, Johnny, Bruyant, Aurélien, Liu, He, Dinh, Xuan-Quyen, Sun, Xiao Wei, Bachelot, Renaud, Laboratoire de Nanotechnologie et d'Instrumentation Optique (LNIO), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), School of Electrical and Electronic Engineering (EEE), Nanyang Technological University [Singapour], Department of Electrical and Electronic Engineering, Southern University of Science and Technology (SUSTech), and Southern University of Science and Technology of China (SUSTech)
Subjects: [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017

64. Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes

Author: Nielsen, H.B., Almeida, M., Sierakowska Juncker, A., Rasmussen, S., Li, J., Sunagawa, S., Plichta, D.R., Gautier, L., Pedersen, A.G., Le Chatelier, E., Pelletier, E., Bonde, I., Nielsen, T., Manichanh, C., Arumugam, M., Batto, J.M., Quintanilha dos Santos, M.B., Blom, N., Borruel, N., Burgdorf, K.S., Boumezbeur, F., Casellas, F., Doré, J., Dworzynski, P., Guarner, F., Hansen, T., Hildebrand, F., Kaas, R.S., Kennedy, S., Kristiansen, K., Kultima, J.R., Leonard, P., Levenez, F., Lund, O., Moumen, B., Le Paslier, D., Pons, N., Pedersen, O., Prifti, E., Qin, J., Raes, J., Sørensen, S., Tap, J., Tims, S., Ussery, D.W., Yamada, T., Jamet, A., Mérieux, A., Cultrone, A., Torrejon, A., Quinquis, B., Brechot, C., Delorme, C., M'Rini, C., de Vos, W.M., Maguin, E., Varela, E., Guedon, E., Gwen, F., Haimet, F., Artiguenave, F., Vandemeulebrouck, G., Denariaz, G., Khaci, G., Blottière, H., Knol, J., Weissenbach, J., van Hylckama Vlieg, J.E., Torben, J., Parkhil, J., Turner, K., van de Guchte, M., Antolin, M., Rescigno, M., Kleerebezem, M., Derrien, M., Galleron, N., Sanchez, N., Grarup, N., Veiga, P., Oozeer, R., Dervyn, R., Layec, S., Bruls, T., Winogradski, Y., Zoetendal, E.G., Renault, D., Sicheritz-Ponten, Bork, P., Wang, J., Brunak, S., Ehrlich, S.D., Center for Biological Sequence Analysis, Technical University of Denmark [Lyngby] (DTU), Novo Nordisk Foundation Center for Biosustainability, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Department of Computer Science [Baltimore], Johns Hopkins University (JHU), BGI Hong Kong Researche Institute, BGI Shenzhen, School of Bioscience and Biotechnology, Southern University of Science and Technology [Shenzhen] (SUSTech), European Molecular Biology Laboratory, US 1367 MetaGénoPolis, Institut National de la Recherche Agronomique (INRA)-Département Microbiologie et Chaîne Alimentaire (MICA), Institut National de la Recherche Agronomique (INRA)-MetaGénoPolis (MGP), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Université d'Évry-Val-d'Essonne (UEVE), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Digestive System Research Unit, Vall d'Hebron University Hospital [Barcelona], Faculty of Health Sciences, University of Southern Denmark (SDU), Department of Structural Biology, Flanders Institute for Biotechnology, Department of Bioscience Engineering, Vrije Universiteit [Brussels] (VUB), 8National Food Institute - Division for Epidemiology and Microbial Genomics, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], Hagedorn Research Institute, Faculty of Health, Aarhus University [Aarhus], BGI Hong Kong research Institute, Rega Institute - Department of Microbiology and Immunology, Université Catholique de Louvain (UCL), VIB Center for the Biology of Disease, Section of Microbiology [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Science [Copenhagen], Laboratory of Microbiology, Wageningen University and Research Centre [Wageningen] (WUR), Department of Biological Information, Tokyo Institute of Technology [Tokyo] (TITECH), Max-Delbrück Center for Molecular Medicine, Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Centre for Host-Microbiome Interactions, Dental Institute Central Office, Guy’s Hospital, King‘s College London, Département Microbiologie et Chaîne Alimentaire (MICA), Institut National de la Recherche Agronomique (INRA), European Community's Seventh Framework Programme [FP7-HEALTH-F4-2007-201052, FP7-HEALTH-2010-261376], OpenGPU FUI collaborative research projects, DGCIS, Instituto de Salud Carlos III (Spain), Ministere de la Recherche et de l'Education Nationale (France), [ANR-11-DPBS-0001], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Beijing Genomics Institute [Shenzhen] (BGI), Southern University of Science and Technology (SUSTech), MetaGenoPolis, Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Vrije Universiteit Brussel (VUB), Université Catholique de Louvain = Catholic University of Louvain (UCL), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Science [Copenhagen], Wageningen University and Research [Wageningen] (WUR), Max Delbrück Center for Molecular Medicine [Berlin] (MDC), Helmholtz-Gemeinschaft = Helmholtz Association, European Project: 201052,EC:FP7:HEALTH,FP7-HEALTH-2007-A,METAHIT(2008), Department of Systems Biology, Center for Biological Sequence Analysis, Ctr Biol Sequence Anal, National University of Singapore (NUS), European Molecular Biology Laboratory [Heidelberg] (EMBL), Department of Mathematics and Computer Science [Odense] (IMADA), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Vall d’Hebron Research Institute (VHIR), Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen = Københavns Universitet (KU), INRA US1367 MetaGenoPolis, European Molecular Biology Laboratory [Grenoble] (EMBL), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Center for Biological Sequence Analysis [Lyngby], Chinese Academy of Agricultural Mechanization Sciences (CCCME), 1Génétique Microbienne, INRA, Domaine de Vilvert, 78352 Jouy en Josas Cedex, and Department of Bio-engineering Sciences
Subjects: Cellular immunity, polypeptide, [SDV]Life Sciences [q-bio], SHORT READ ALIGNMENT SEQUENCES SYSTEMS ALGORITHMS MICROBIOTA PROTEIN LIFE SETS TREE TOOL, complex metagenomic sample, Applied Microbiology and Biotechnology, Genome, Microbiologie, Databases, Genetic, genetic element, Cluster Analysis, sets, short read alignment, ComputingMilieux_MISCELLANEOUS, Genetics, 0303 health sciences, tool, metagenomic, tree, Lactococcus lactis, IL-12, Molecular Medicine, Biotechnology, life, Microbial Genomes, antigen specific immune response, Biomedical Engineering, Bioengineering, Computational biology, [SDV.BID]Life Sciences [q-bio]/Biodiversity, cellular immunity, Biology, algorithms, Microbiology, 03 medical and health sciences, Genetic variation, microbiota, Microbiome, Gene, genome, 030304 developmental biology, adjuvant activity, VLAG, 030306 microbiology, Metagenomics, WIAS, Microbial genetics, sequences, systems, protein
Abstract: Most current approaches for analyzing metagenomic data rely on comparisons to reference genomes, but the microbial diversity of many environments extends far beyond what is covered by reference databases. De novo segregation of complex metagenomic data into specific biological entities, such as particular bacterial strains or viruses, remains a largely unsolved problem. Here we present a method, based on binning co-abundant genes across a series of metagenomic samples, that enables comprehensive discovery of new microbial organisms, viruses and co-inherited genetic entities and aids assembly of microbial genomes without the need for reference sequences. We demonstrate the method on data from 396 human gut microbiome samples and identify 7,381 co-abundance gene groups (CAGs), including 741 metagenomic species (MGS). We use these to assemble 238 high-quality microbial genomes and identify affiliations between MGS and hundreds of viruses or genetic entities. Our method provides the means for comprehensive profiling of the diversity within complex metagenomic samples.
Published: 2014
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65. Progressive Semisupervised Learning of Multiple Classifiers

Author: Hau-San Wong, Yide Wang, Zhiwen Yu, Jun Zhang, Jane You, Guoqiang Han, Ye Lu, Southern University of Science and Technology [Shenzhen] (SUSTech), Department of computing, City University of Hong Kong [Hong Kong] (CUHK), Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), 61472145, NSFC, 7004674, City University of Hong Kong, G-YM05, Hong Kong Polytechnic University, S2013050014677, Guangdong Natural Science Funds for Distinguished Young Scholars, 2016B090918042, Science and Technology Planning Project of Guangdong Province, China, CityU 11300715, Research Grants Council of the Hong Kong Special Administrative Region, China, 152202/14E, Hong Kong General Research, Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: [SPI.OTHER]Engineering Sciences [physics]/Other, Boosting (machine learning), Computer science, Active learning (machine learning), Stability (learning theory), 02 engineering and technology, Semi-supervised learning, Machine learning, computer.software_genre, semisupervised learning, Robustness (computer science), 020204 information systems, Ensemble learning, 0202 electrical engineering, electronic engineering, information engineering, random subspace, Electrical and Electronic Engineering, Training set, business.industry, Nonparametric statistics, Pattern recognition, Linear subspace, Computer Science Applications, Human-Computer Interaction, ComputingMethodologies_PATTERNRECOGNITION, machine learning, Control and Systems Engineering, 020201 artificial intelligence & image processing, Algorithm design, Artificial intelligence, business, computer, optimization, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Software, Subspace topology, Information Systems
Abstract: International audience; Semisupervised learning methods are often adopted to handle datasets with very small number of labeled samples. However, conventional semisupervised ensemble learning approaches have two limitations: 1) most of them cannot obtain satisfactory results on high dimensional datasets with limited labels and 2) they usually do not consider how to use an optimization process to enlarge the training set. In this paper, we propose the progressive semisupervised ensemble learning approach (PSEMISEL) to address the above limitations and handle datasets with very small number of labeled samples. When compared with traditional semisupervised ensemble learning approaches, PSEMISEL is characterized by two properties: 1) it adopts the random subspace technique to investigate the structure of the dataset in the subspaces and 2) a progressive training set generation process and a self evolutionary sample selection process are proposed to enlarge the training set. We also use a set of nonparametric tests to compare different semisupervised ensemble learning methods over multiple datasets. The experimental results on 18 real-world datasets from the University of California, Irvine machine learning repository show that PSEMISEL works well on most of the real-world datasets, and outperforms other state-of-the-art approaches on 10 out of 18 datasets.
Published: 2017
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66. The Memory Effect for Plane Gravitational Waves

Author: Pengming Zhang, Christian Duval, Peter A. Horvathy, Gary W. Gibbons, Southern University of Science and Technology [Shenzhen] (SUSTech), CPT - E2 Géométrie, Physique et Symétries, Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge [UK] (CAM), Laboratoire de Mathématiques et Physique Théorique (LMPT), Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Région Centre (France) for a 'Le Studium'research professorship. National Natural Science Foundation of China (Grant No. 11575254)., Southern University of Science and Technology (SUSTech), and Université de Tours-Centre National de la Recherche Scientifique (CNRS)
Subjects: High Energy Physics - Theory, Nuclear and High Energy Physics, General relativity, [PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph], Plane wave, FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), 01 natural sciences, General Relativity and Quantum Cosmology, Displacement (vector), Gravitation, Vacuum solution (general relativity), 0103 physical sciences, 010306 general physics, Mathematical Physics, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), 010308 nuclear & particles physics, Gravitational wave, Plane (geometry), [PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th], Relative velocity, Mathematical Physics (math-ph), lcsh:QC1-999, Classical mechanics, High Energy Physics - Theory (hep-th), [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc], Astrophysics - High Energy Astrophysical Phenomena, lcsh:Physics
Abstract: We give an account of the gravitational memory effect in the presence of the exact plane wave solution of Einstein's vacuum equations. This allows an elementary but exact description of the soft gravitons and how their presence may be detected by observing the motion of freely falling particles. The theorem of Bondi and Pirani on caustics (for which we present a new proof) implies that the asymptotic relative velocity is constant but not zero, in contradiction with the permanent displacement claimed by Zel'dovich and Polnarev. A non-vanishing asymptotic relative velocity might be used to detect gravitational waves through the "velocity memory effect", considered by Braginsky, Thorne, Grishchuk, and Polnarev., Comment: Thoroughly revised version. 11 pages, 4 figures
Published: 2017
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67. Seeds of Life in Space (SOLIS). II. Formamide in protostellar shocks: Evidence for gas-phase formation

Author: Izaskun Jiménez-Serra, Ana Chacón-Tanarro, Claudine Kahane, Andy Pon, R. Neri, Yoko Oya, Patrice Theulé, Leonardo Testi, Audrey Coutens, Paola Caselli, Charlotte Vastel, Serena Viti, François Dulieu, Jaime E. Pineda, R. Choudhury, P. Hily-Blant, J. Ospina, Fanny Vazart, Vincenzo Barone, Ana López-Sepulcre, Ian R. Sims, Laurent Wiesenfeld, Claudio Codella, Anna Punanova, Sandrine Bottinelli, Vianney Taquet, Francesco Fontani, Jacob C. Laas, A. Jaber Al-Edhari, Linda Podio, Cecilia Ceccarelli, Satoshi Yamamoto, Nami Sakai, Felipe O. Alves, Rafael Bachiller, Emmanuel Caux, S. Spezzano, D. Quénard, Nadia Balucani, Siyi Feng, Cécile Favre, Luca Bizzocchi, Cristina Puzzarini, Bertrand Lefloch, Piero Ugliengo, Anton Vasyunin, Jonathan Holdship, Dimitrios Skouteris, Albert Rimola, E. Bianchi, Laboratoire d'Astrophysique de Grenoble (LAOG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), INAF - Osservatorio Astrofisico di Arcetri (OAA), Istituto Nazionale di Astrofisica (INAF), Università degli Studi di Perugia (UNIPG), INAF - Osservatorio Astronomico di Brera (OAB), Southern University of Science and Technology [Shenzhen] (SUSTech), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), Queen Mary University of London (QMUL), University College of London [London] (UCL), ESAB, Universitad polytecnica de Cataluna, University of Western Ontario (UWO), Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Institut de Planétologie et d'Astrophysique de Grenoble (IPAG), Centre National d'Études Spatiales [Toulouse] (CNES)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), departament de Quimica, Universitat Autònoma de Barcelona [Barcelona] (UAB), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Scuola Normale Superiore di Pisa (SNS), European Southern Observatory (ESO), Physique des interactions ioniques et moléculaires (PIIM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino (UNITO), Codella, C., Ceccarelli, C., Caselli, P., Balucani, N., Barone, V., Fontani, F., Lefloch, B., Podio, L., Viti, S., Feng, S., Bachiller, R., Bianchi, E., Dulieu, F., Jiménez-Serra, I., Holdship, J., Neri, R., Pineda, J.E., Pon, A., Sims, I., Spezzano, S., Vasyunin, A.I., Alves, F., Bizzocchi, L., Bottinelli, S., Caux, E., Chacón-Tanarro, A., Choudhury, R., Coutens, A., Favre, C., Hily-Blant, P., Kahane, C., Jaber Al-Edhari, A., Laas, J., López-Sepulcre, A., Ospina, J., Oya, Y., Punanova, A., Puzzarini, C., Quenard, D., Rimola, A., Sakai, N., Skouteris, D., Taquet, V., Testi, L., Theulé, P., Ugliengo, P., Vastel, C., Vazart, F., Wiesenfeld, L., Yamamoto, S., Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Università degli Studi di Perugia = University of Perugia (UNIPG), Southern University of Science and Technology (SUSTech), LERMA Cergy (LERMA), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona (UAB), Università degli studi di Torino = University of Turin (UNITO), Pineda, J. E., Vasyunin, A. I., Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Subjects: Formamide, Abundance (chemistry), Direct evidence, Stars: formation, FOS: Physical sciences, Context (language use), Astrophysics, ISM: molecule, 01 natural sciences, chemistry.chemical_compound, 0103 physical sciences, Protostar, molecule [ISM], 010303 astronomy & astrophysics, ISM: jets and outflow, formation [Stars], ComputingMilieux_MISCELLANEOUS, Line (formation), Earth and Planetary Astrophysics (astro-ph.EP), ISM: individual objects: L1157-B1, ISM: jets and outflows, ISM: molecules, Astronomy and Astrophysics, Space and Planetary Science, Physics, [PHYS]Physics [physics], 010308 nuclear & particles physics, jets and outflow [ISM], individual objects: L1157-B1 [ISM], Astronomy and Astrophysic, Stars, chemistry, Millimeter, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Earth and Planetary Astrophysics
Abstract: Context: Modern versions of the Miller-Urey experiment claim that formamide (NH$_2$CHO) could be the starting point for the formation of metabolic and genetic macromolecules. Intriguingly, formamide is indeed observed in regions forming Solar-type stars as well as in external galaxies. Aims: How NH$_2$CHO is formed has been a puzzle for decades: our goal is to contribute to the hotly debated question of whether formamide is mostly formed via gas-phase or grain surface chemistry. Methods: We used the NOEMA interferometer to image NH$_2$CHO towards the L1157-B1 blue-shifted shock, a well known interstellar laboratory, to study how the components of dust mantles and cores released into the gas phase triggers the formation of formamide. Results: We report the first spatially resolved image (size $\sim$ 9", $\sim$ 2300 AU) of formamide emission in a shocked region around a Sun-like protostar: the line profiles are blueshifted and have a FWHM $\simeq$ 5 km s$^{-1}$. A column density of $N_{\rm NH_2CHO}$ = 8 $\times$ 10$^{12}$ cm$^{-1}$, and an abundance (with respect to H-nuclei) of 4 $\times$ 10$^{-9}$ are derived. We show a spatial segregation of formamide with respect to other organic species. Our observations, coupled with a chemical modelling analysis, indicate that the formamide observed in L1157-B1 is formed by gas-phase chemical process, and not on grain surfaces as previously suggested. Conclusions: The SOLIS interferometric observations of formamide provide direct evidence that this potentially crucial brick of life is efficiently formed in the gas-phase around Sun-like protostars., 7 pages, 1 table, 5 figures, A&A Letters, in press
Published: 2017
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68. Polyphenols extraction from black chokeberry wastes

Author: Lazarova, M. P., Dimitrov, Stoyan, Nikov, I. S., Dzhonova, D. B., Institute of Chemical Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut Charles Viollette (ICV) - EA 7394 (ICV), Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille, Université de Lille, Université d'Artois (UA), Université du Littoral Côte d'Opale (ULCO), Adaptation au froid du pois (AFP), Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille-Université d'Artois (UA)-Institut National de la Recherche Agronomique (INRA)-Université du Littoral Côte d'Opale (ULCO)-Institut Supérieur d'Agriculture-Université de Lille, Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture, Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de la Recherche Agronomique (INRA)-Université d'Artois (UA)-Institut Supérieur d'Agriculture, Southern University of Science and Technology (SUSTech), and Université du Littoral Côte d’Opale (ULCO)
Subjects: [SDV]Life Sciences [q-bio], Folin-Ciocalteu method, food and beverages, aronia melanocarpa, solid-liquid extraction
Abstract: Polyphenols are secondary metabolites of plants and are broadly distributed in fruits and vegetables. It is demonstrated that these compounds act as strong antioxidants which determines a variety of their medicinal properties. Wastes of black chokeberry after juice recovery were used to investigate the optimal conditions for maximal yield of polyphenols applying solid-liquid extraction. Parameters such as temperature, medium acidity and type of solvent were varied. Total polyphenol content was assayed according to the Folin-Ciocalteu colorimetric reaction method. The results obtained demonstrated that water and water-ethanol mixtures were suitable for polyphenols extraction from black chokeberry wastes. The increase in temperature, regardless of the solvent, led to increasing polyphenol content in the extracts, reaching 7700 mg/L GAE with 50 % ethanol at ebullition, while acidity had clearly less effect on polyphenols extraction.
Published: 2016

69. A simple way for near-field source localization with MUSIC

Author: Cedric Le Bastard, Gang Wei, Yide Wang, Biyun Ma, Jianzhong Li, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), School of Electronic and Information Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), Charlier, Sandrine, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Southern University of Science and Technology (SUSTech)
Subjects: 060201 languages & linguistics, [SPI] Engineering Sciences [physics], Speech recognition, 020206 networking & telecommunications, Near and far field, 06 humanities and the arts, 02 engineering and technology, Range (mathematics), Matrix (mathematics), symbols.namesake, [SPI]Engineering Sciences [physics], Signal-to-noise ratio, Simple (abstract algebra), Gaussian noise, 0602 languages and literature, Source localization, 0202 electrical engineering, electronic engineering, information engineering, symbols, Multiple signal classification, Algorithm, Mathematics
Abstract: International audience; In this paper, a method for near-field source localizationbased on MUSIC algorithm and high-order cumulantis proposed. Unlike other modified 2D MUSIC, the new methodneeds only one matrix to estimate the range and DOA, decreasingboth the computational burden and complexity of the algorithm.Furtheremore, with high-order cumulant, it is also robust tocoloured gaussian noise. The simulations show the effectivenessof the proposed method.
Published: 2016

70. A human gut microbial gene catalogue established by metagenomic sequencing

Author: Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., Yamada, Takuji, Mende, D. R., Li, J., Xu, J., Li, S., Li, D., Cao, J., Wang, B., Liang, H., Zheng, H., Xie, Y., Tap, J., Lepage, P., Bertalan, M., Batto, J. M., Hansen, T., Le Paslier, D., Linneberg, A., Nielsen, H. B., Pelletier, E., Renault, P., Sicheritz-Ponten, T., Turner, K., Zhu, H., Yu, C., Jian, M., Zhou, Y., Li, Y., Zhang, X., Qin, N., Yang, H., Wang, J., Brunak, S., Dor�, J., Guarner, F., Kristiansen, K., Pedersen, O., Parkhill, J., Weissenbach, J., Bork, P., Ehrlich, S. D., Consortium, MetaHIT, European Molecular Biology Laboratory [Heidelberg] (EMBL), Beijing Genomics Institute [Shenzhen] (BGI), Hagedorn Research Institute, Vrije Universiteit Brussel (VUB), Vall d'Hebron University Hospital [Barcelona], Institut National de la Recherche Agronomique (INRA), School of Software Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), Genome Research Institute, Shenzhen University Medical School, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), Center for Biological Sequence Analysis, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Research Center for Prevention and Health, Glostrup Hospital, The Wellcome Trust Sanger Institute [Cambridge], Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Faculty of Health Sciences, Department of Biomedical Sciences [Copenhagen], Faculty of Health and Medical Sciences, MetaHIT Consortium, European Project: 201052,EC:FP7:HEALTH,FP7-HEALTH-2007-A,METAHIT(2008), Vrije Universiteit [Brussels] (VUB), Hospital Universitari Val d'Hebron, CIBERehd, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, MetaGenoPolis, Southern University of Science and Technology (SUSTech), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), and University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)
Subjects: intestinal microbiota, Adult, Denmark, Genomics, Bacterial genome size, Biology, Genome, Microbiology, diversity, Cohort Studies, 03 medical and health sciences, Contig Mapping, Feces, Open Reading Frames, Microbiologie, Humans, Obesity, fermentation, 030304 developmental biology, Inner mucus layer, VLAG, Genetics, 0303 health sciences, Multidisciplinary, Genes, Essential, Bacteria, 030306 microbiology, 16s ribosomal-rna, Human microbiome, alignment, Sequence Analysis, DNA, Overweight, Inflammatory Bowel Diseases, communities, Gastrointestinal Tract, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, host, Metagenomics, Genes, Bacterial, Health, Spain, networks, Metagenome, Enterotype, environment, Genome, Bacterial, Human Microbiome Project
Abstract: Udgivelsesdato: 2010-Mar-4 To understand the impact of gut microbes on human health and well-being it is crucial to assess their genetic potential. Here we describe the Illumina-based metagenomic sequencing, assembly and characterization of 3.3 million non-redundant microbial genes, derived from 576.7 gigabases of sequence, from faecal samples of 124 European individuals. The gene set, approximately 150 times larger than the human gene complement, contains an overwhelming majority of the prevalent (more frequent) microbial genes of the cohort and probably includes a large proportion of the prevalent human intestinal microbial genes. The genes are largely shared among individuals of the cohort. Over 99% of the genes are bacterial, indicating that the entire cohort harbours between 1,000 and 1,150 prevalent bacterial species and each individual at least 160 such species, which are also largely shared. We define and describe the minimal gut metagenome and the minimal gut bacterial genome in terms of functions present in all individuals and most bacteria, respectively.
Published: 2010
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71. Road surface layers geometric parameters estimation by GPR using ESPRIT method

Author: Sun, Meng, Le Bastard, Cédric, Pinel, Nicolas, Wang, Yide, Li, Jianzhong, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), ALYOTECH TS&I, ALYOTECH, Southern University of Science and Technology [Shenzhen] (SUSTech), 201306150010, China Scholarship Council, Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Southern University of Science and Technology (SUSTech)
Subjects: interface roughness, [SPI]Engineering Sciences [physics], high resolution, road survey, time-delay estimation, propagator, ground penetrating radar
Abstract: International audience; In civil engineering, ground penetrating radar is widely used to assess theroadway structures. This paper evaluates the influence of interface roughness(surface and interlayer). A modified ESPRIT algorithm is proposed with aspectral smoothing technique for efficiently estimating the time delay, thepermittivity of the layers and the interface roughness. In order to reduce theimpact of noise, a preprocessing method called propagator is used to estimatethe noise variance. The algorithm is tested on simulated data obtainedby the rigorous numerical method called PILE (propagation inside layer expansion).Numerical simulations are conducted to assess the performance ofthe algorithm. The simulation results show that the proposed algorithm can estimate road parameters with small relative root mean square error.
Published: 2016
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72. Reducing human nitrogen use for food production

Author: Kun Ma, Junguo Liu, Philippe Ciais, Stephen Polasky, Southern University of Science and Technology (SUSTech), Beijing Forestry University, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Civil, Environmental and Geo-Engineering [Minneapolis], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Subjects: Livestock, Calorie, 010504 meteorology & atmospheric sciences, Reactive nitrogen, Nitrogen, Environment, 010501 environmental sciences, 01 natural sciences, Article, Crop, Toxicology, Animals, Humans, Production (economics), 0105 earth and related environmental sciences, 2. Zero hunger, Multidisciplinary, business.industry, Agriculture, 6. Clean water, Biotechnology, Food waste, Food, 13. Climate action, [SDE]Environmental Sciences, Food processing, Environmental science, business, [CHIM.OTHE]Chemical Sciences/Other
Abstract: Reactive nitrogen (N) is created in order to sustain food production, but only a small fraction of this N ends up being consumed as food, the rest being lost to the environment. We calculated that the total N input (TN) of global food production was 171 Tg N yr−1 in 2000. The production of animal products accounted for over 50% of the TN, against 17% for global calories production. Under current TN per unit of food production and assuming no change in agricultural practices and waste-to-food ratios, we estimate that an additional TN of 100 Tg N yr−1 will be needed by 2030 for a baseline scenario that would meet hunger alleviation targets for over 9 billion people. Increased animal production will have the largest impact on increasing TN, which calls for new food production systems with better N-recycling, such as cooperation between crop and livestock producing farms. Increased N-use efficiency, healthier diet and decreased food waste could mitigate this increase and even reduce TN in 2030 by 8% relative to the 2000 level. Achieving a worldwide reduction of TN is a major challenge that requires sustained actions to improve nitrogen management practices and reduce nitrogen losses into the environment.
Published: 2016
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73. Simplified High-order DOA and Range Estimation with Linear Antenna Array

Author: Zhiwen Yu, Jianzhong Li, Gang Wei, Yide Wang, Cedric Le Bastard, Meng Sun, Biyun Ma, Charlier, Sandrine, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Mathematical optimization, Computational complexity theory, [SPI] Engineering Sciences [physics], near-field, 020206 networking & telecommunications, Near and far field, 02 engineering and technology, High-order cumulant, Computer Science Applications, Matrix decomposition, MUSIC, Antenna array, Range (mathematics), Matrix (mathematics), [SPI]Engineering Sciences [physics], Modeling and Simulation, 0202 electrical engineering, electronic engineering, information engineering, linear array, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Algorithm, Eigenvalues and eigenvectors, Eigendecomposition of a matrix, Mathematics
Abstract: International audience; In this letter, we propose a new efficient method toestimate the direction-of-arrival (DOA) and range of near-fieldsources in a decoupled way. Firstly, a non-Hermitian cumulantmatrix is constructed, whose eigenvectors associated with zeroeigenvalues are used to directly estimate the DOA by usingthe MUSIC algorithm. Then the ranges are estimated with theestimated DOA by orthogonalizing the remained eigenvectors.Compared with other modified two-dimensional (2D) MUSIC,the proposed algorithm can greatly reduce the computationalcomplexity by avoiding a 2D search with only one matrix andone eigenvalue decomposition (EVD). Simulation results show theeffectiveness of the proposed method.
Published: 2016

74. A RSU-coordinated Synchronous Multi-channel MAC Scheme for Vehicular Ad Hoc Networks

Author: Hongbin Chen, Xiaohuan Li, Guillaume Andrieux, Bin-Jie Hu, Yide Wang, Zong-Heng Wei, School of Electronic and Information Engineering, Southern University of Science and Technology [Shenzhen] (SUSTech), The Key Laboratory of Cognitive Radio and Information Processing, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), 2015GXNSFBA139247, Natural Science Foundation of Guangxi Province, Investigation on Vehicle Safety Monitoring and Energy Saving System based on Vehicular Ad hoc Networks within the Ministry of Industry and Information Technology, 2014Y2-00218, Guangzhou Key Science and Technology Project of Industry-Academia-Research Collaborative Innovation, CGZHZD1102, University-Industry Key Project of Department of Education of Guangdong Province, 20150101-4, Scientific and Technological Research Project of Guilin, Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: General Computer Science, Computer science, Wireless ad hoc network, RSU-coordinated, Throughput, 02 engineering and technology, Multi-channel MAC, [SPI]Engineering Sciences [physics], 0203 mechanical engineering, Control channel, rendezvous, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, VANETs, Vehicular ad hoc network, multi-channel hidden terminal, Hidden node problem, business.industry, General Engineering, Rendezvous, 020302 automobile design & engineering, 020206 networking & telecommunications, Ad hoc wireless distribution service, Network congestion, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, Computer network, Communication channel
Abstract: International audience; This paper proposes a road side unit (RSU)-coordinated synchronous multi-channel medium access control(MAC) scheme for vehicular ad hoc networks (VANETs). Theproposed scheme allows the on board unit (OBU) to reserveservice channels (SCHs) on the control channel (CCH) duringalmost the whole synchronous interval and supports simultaneoustransmissions on different SCHs. It enhances the performanceof VANETs and decreases the CCH congestion. Moreover, weuse RSU to record the rendezvous information and broadcastit to the OBUs. This method avoids the multi-channel hiddenterminal problem. An analytical model is developed to evaluatethe aggregate throughput on SCHs. This model takes intoaccount the following factors: non-safety message transmissionprobability in each synchronous interval, average size of thenon-safety message, and the number of OBUs. Furthermore, therequirement of obtaining the maximum throughput is computed.Simulation results are provided to validate the analytical modeland to demonstrate the improvement in throughput. The resultsindicate that the proposed scheme can provide higher aggregatethroughput than that of the Vehicular Enhanced Multi-channelMAC (VEMMAC) and IEEE 1609.4, and better performancein CCH congestion control especially under high network loadconditions.
Published: 2015
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75. An Efficient Task-Based Execution Model for Stochastic Linear Solver on Multi-core and Many-Core Systems

Author: Fan Ye, Serge G. Petiton, Christophe Calvin, Southern University of Science and Technology (SUSTech), Département de Modélisation des Systèmes et Structures (DM2S), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Southern University of Science and Technology [Shenzhen] (SUSTech)
Subjects: Multi-core processor, Random number generation, Computer science, Linear system, Monte Carlo method, Sampling (statistics), Markov process, Parallel computing, Scheduling (computing), symbols.namesake, Matrix (mathematics), Linear algebra, Vectorization (mathematics), symbols, [INFO]Computer Science [cs], Quasi-Monte Carlo method, SIMD, Execution model, Sparse matrix
Abstract: International audience; Monte Carlo methods are a wide range of computational algorithms which depend on repeated random sampling to obtain numerical results. They are of great interest in parallel computing because the samplings are very often independent of one another, which expose abundant parallelism. Such parallelism is well suited for modern processors with large number of cores. In this study, we revisit the Monte Carlo technique for solving linear systems. The conventional implementation of this method, in spite of its abundant parallelism, still exhibits some fundamental bottlenecks which limit performance: (a) relatively large amount of time spent in random number generation, (b) serialized selection of new states, (c) lack of vectorization which leads to low SIMD efficiency for processors with wide vector units, and (d) variable results due to the stochastic nature of algorithm. We propose an efficient task-based execution model for tackling these problems. It provides a new perspective to interpret the theory so we can bypass the inevitable routines in conventional implementation of Monte Carlo method, such as random number generation. The new model also exploits the salient architectural features of modern multi-core system, such as wide vector units and hardware support for irregular memory access. Our work is built on the latest research on task-based scheduling. It shows very promising performance on both multi-core and many-core system. Compared with optimized conventional parallel implementation, we achieved significant speedups (up to 3.68x) on test matrices.
Published: 2015
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76. Reduced carbon emission estimates from fossil fuel combustion and cement production in China

Author: Glen P. Peters, Yu Zhao, Ning Zeng, Zhu Liu, Steven J. Davis, Junguo Liu, Shushi Peng, Douglas Crawford-Brown, Jintai Lin, Klaus Hubacek, Jin Bai, Yuan Li, Philippe Ciais, Qiang Zhang, Kebin He, Hongyan Zhao, Robert J. Andres, Wei Wei, Dabo Guan, Kuishuang Feng, Chaopeng Hong, Fengming Xi, Thomas A. Boden, Gregg Marland, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071 China, Chinese Academy of Sciences [Wuhan Branch], Harvard University [Cambridge], School of Computer and Electronic Information [Guangxi University], Guangxi University [Nanning], Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Peking University, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Appalachian State University, University, Department of Neurosurgery, Université de Berne, Center for International Climate and Environmental Research [Oslo] (CICERO), University of Oslo (UiO), Southern University of Science and Technology [Shenzhen] (SUSTech), Alibaba Group [Hangzhou], Institute of Atmospheric Physics [Beijing] (IAP), Chinese Academy of Sciences [Beijing] (CAS), Harvard University, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Peking University [Beijing], École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Universität Bern [Bern] (UNIBE), Southern University of Science and Technology (SUSTech), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA), Fonctions Optiques pour les Technologies de l'informatiON (FOTON), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université européenne de Bretagne - European University of Brittany (UEB)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Télécom Bretagne-Centre National de la Recherche Scientifique (CNRS), and Apollo - University of Cambridge Repository
Subjects: Fossil Fuels, China, Carbon Sequestration, General Science & Technology, Climate Change, 020209 energy, Climate change, 02 engineering and technology, 010501 environmental sciences, Carbon sequestration, 7. Clean energy, 01 natural sciences, Trees, chemistry.chemical_compound, Affordable and Clean Energy, Environmental protection, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Coal, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Multidisciplinary, Construction Materials, business.industry, Fossil fuel, Uncertainty, Carbon sink, Carbon Dioxide, Carbon, Climate Action, Climate change mitigation, chemistry, 13. Climate action, Greenhouse gas, Carbon dioxide, Environmental science, business
Abstract: © 2015 Macmillan Publishers Limited. All rights reserved. Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China's total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China's carbon emissions using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000-2012 than the value reported by China's national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China's cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China's CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = ±7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China's cumulative carbon emissions. Our findings suggest that overestimation of China's emissions in 2000-2013 may be larger than China's estimated total forest sink in 1990-2007 (2.66 gigatonnes of carbon) or China's land carbon sink in 2000-2009 (2.6 gigatonnes of carbon).
Published: 2015
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77. Energy Consumption Improvement of OOK Transmitter Based on Minimum Energy Coding

Author: Yue Peng, Jean-François Diouris, Guillaume Andrieux, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), and Charlier, Sandrine
Subjects: Computer science, Transmitter, Electronic engineering, Energy consumption, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Energy (signal processing), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Coding (social sciences)
Abstract: Energy consumption of Wireless Sensor Networks (WSNs) including OOK transmitter is important for short range transmission and long battery life time requirements. In this paper, the Minimum Energy (ME) coding strategy is adopted to improve the energy efficiency of an OOK transmitter. We first give the energy consumption model based on a real OOK transmitter, which can completely switch off the transmitter during the transmission of low bit '0' and has an energy effciency of 52 pJ/bit. Based on this energy consumption model, ME-Coding provides an energy effciency of 30 pJ/bit for coding size k = 3. Moreover, larger coding size others more significant improvement, at the sacrifice of spectral effciency and transmission range. In this paper, we have also determined a closed-form solution for the optimal coding size for a given transmission range constraint.
Published: 2015

78. An adaptive trilateration localization algorithm based on RSSI model

Author: Du, Jinze, Wang, Yide, Diouris, Jean-François, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Charlier, Sandrine
Subjects: Computer Science::Networking and Internet Architecture, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Localization is a hot issue in wireless sensor networks. Especially in some position sensitive applications, node localization is essential to the whole networks. In this paper, an adaptive trilateration localization algorithm based on RSSI is proposed. In order to estimate the RSSI value precisely and improve the accuracy, LMS method is adopted to optimize the channel model. The simulation results show that this localization algorithm has low complexity and good localization precision.
Published: 2015

79. Comment on 'Dilution limits dissolved organic carbon utilization in the deep ocean'

Author: Chuanlun Zhang, Ya-Wei Luo, Xiaoxue Wang, Nianzhi Jiao, Helmuth Thomas, Hongyue Dang, Carol V. Robinson, Kai Tang, Jihua Liu, Rui Zhang, Chao Li, Tingwei Luo, Louis Legendre, Xiamen University, Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Loughborough University, Dalhousie University [Halifax], State Key Laboratory of Marine Environmental Science (MEL), Shandong University, China Agricultural University (CAU), Max Planck Institute for Chemistry (MPIC), Max-Planck-Gesellschaft, Total New Energies, Key Lab Marine Bioresources Sustainable Utilizat, Chinese Academy of Sciences [Beijing] (CAS), Dept Chem Engn, Texas A&M University [College Station], Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Southern University of Science and Technology [Shenzhen] (SUSTech), Southern Marine Science and Engineering Guangdong Laboratory, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), and Southern University of Science and Technology (SUSTech)
Subjects: Multidisciplinary, Oceans and Seas, Carbon Dioxide, Deep sea, Carbon Cycle, Carbon cycle, Dilution, chemistry.chemical_compound, chemistry, Environmental chemistry, Dissolved organic carbon, Carbon dioxide, Seawater, 14. Life underwater, Volume concentration, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract: Arrieta et al . (Reports, 17 April 2015, p. 331) propose that low concentrations of labile dissolved organic carbon (DOC) preclude prokaryotic consumption of a substantial fraction of DOC in the deep ocean and that this dilution acts as an alternative mechanism to recalcitrance for long-term DOC storage. Here, we show that the authors’ data do not support their claims.
Published: 2015
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80. Road parameters estimation By GPR using ESPRIT method

Author: Sun, Meng, Wang, Yide, Li, Jianzhong, Le Bastard, Cédric, Pinel, Nicolas, Charlier, Sandrine, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), ALYOTECH TS&I, ALYOTECH, Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; In civil engineering, ground penetrating radar is widely used for road pavement surveys. The layer thickness is deduced from both the time delays of the backscattered echoes and the permittivity of the layers. In this paper, the influence of the interface roughness is studied. A modified ESPRIT algorithm is proposed for estimating the time delay, the interface roughness and the permittivity of layers from the received echoes. The algorithm is tested on simulated data obtained from the propagation inside layer expansion (PILE) method. Numerical examples are provided to demonstrate the performance of the algorithm.
Published: 2015

81. αβ T-cell receptors from multiple sclerosis brain lesions show MAIT cell-related features

Author: Katherina Siewert, Hartmut Wekerle, Latika Bhonsle-Deeng, Klaus Dornmair, Eduardo Beltrán, Wakiro Sato, Thomas Misgeld, David-Axel Laplaud, Geraldine Rühl, Stephan Schmidt, Holger Babbe, Markus Moser, Reinhard Hohlfeld, Peter Engerer, Judy K.M. Ng, Wolfgang E. F. Klinkert, Kathrin Held, Institute of Clinical Neuroimmunology [Munich, Germany], Ludwig-Maximilians-Universität München (LMU), Neurologische Gemeinschaftspraxis [Bonn, Germany], Gesundheitszentrum St. Johannes Hospital [Bonn, Germany], Institute of Neuronal Cell Biology [Munich, Germany], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Department for Molecular Medicine [Martinsried, Germany], Max-Planck-Institut für Biogeochemie (MPI-BGC), Department for Neuroimmunology [Martinsried, Germany], Max-Planck-Institute of Neurobiology [Martinsried, Germany], Department of Genetics [Boston], Harvard Medical School [Boston] (HMS), Munich Cluster for systems neurology [Munich] (SyNergy), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Ludwig-Maximilians-Universität München (LMU), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Center for Integrated Protein Science (CIPSM), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Ludwig-Maximilians-Universität München (LMU)-Helmholtz Zentrum München = German Research Center for Environmental Health, Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), This research was supported by Cooperative Basic Research Grant NMRC/CBRG/ 0030/2013 and National Health Innovation Centre Grant NHIC-I2D-1509081 from the National Medical Research Council, Singapore, to N.S.T. and V.T.K.C., respectively. L.Y. is supported by Start-Up Grant Y01416206 from Southern University of Science and Technology (SUSTech). L.L.’s contributions were supported by the National Natural Science Foundation of China (81771617). A grant by the French National Research Agency (ANR-11-LABX-0021-01-LipSTIC LabEx) is also acknowledged. The mouse strain used (C57/B6, 129S5-Angptl4Gt(OST352973)Lex/Mmucd, identification no. 032147-UCD) was obtained from the Mutant Mouse Regional Resource Center (MMRRC), an NIHfunded strain repository, and was donated to the MMRRC by Genentech, Inc., ANR-11-LABX-0021,Lipstic,Lipoprotéines et santé : prévention et traitement des maladies inflammatoires non vasculaires et du cancer(2011), Le Bihan, Sylvie, Laboratoires d'excellence - Lipoprotéines et santé : prévention et traitement des maladies inflammatoires non vasculaires et du cancer - - Lipstic2011 - ANR-11-LABX-0021 - LABX - VALID, Ludwig-Maximilians University [Munich] (LMU), Max-Planck-Institute of Biochemistry [Martinsried, Germany], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Helmholtz-Zentrum München (HZM)-Ludwig Maximilian University of Munich [Germany] (LMU München), and ANR-11-LABX-0021,Lipstic,Lipoprotéines et santé : prévention et traitement des maladies inflammatoires non vasculaires et du(2011)
Subjects: Pathology, medicine.medical_specialty, antibiotic resistance, Population, Complementarity determining region, Article, 03 medical and health sciences, 0302 clinical medicine, ANGPTL4, Medicine, ddc:610, education, Receptor, vascular permeability, 030304 developmental biology, Laser capture microdissection, secondary bacterial pneumonia, 0303 health sciences, education.field_of_study, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, business.industry, Multiple sclerosis, hostdirected immunotherapeutics, T-cell receptor, medicine.disease, Molecular biology, Phenotype, Neurology, Neurology (clinical), business, 030217 neurology & neurosurgery, CD8, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: OBJECTIVES: To characterize phenotypes of T cells that accumulated in multiple sclerosis (MS) lesions, to compare the lesional T-cell receptor (TCR) repertoire of T-cell subsets to peripheral blood, and to identify paired alpha and beta chains from single CD8(+) T cells from an index patient who we followed for 18 years.; METHODS: We combined immunohistochemistry, laser microdissection, and single-cell multiplex PCR to characterize T-cell subtypes and identify paired TCRalpha and TCRbeta chains from individual brain-infiltrating T cells in frozen brain sections. The lesional and peripheral TCR repertoires were analyzed by pyrosequencing.; RESULTS: We found that a TCR Vbeta1(+) T-cell population that was strikingly expanded in active brain lesions at clinical onset comprises several subclones expressing distinct yet closely related Valpha7.2(+) alpha chains, including a canonical Valpha7.2-Jalpha33 chain of mucosal-associated invariant T (MAIT) cells. Three other alpha chains bear striking similarities in their antigen-recognizing, hypervariable complementarity determining region 3. Longitudinal repertoire studies revealed that the TCR chains that were massively expanded in brain at onset persisted for several years in blood or CSF but subsequently disappeared except for the canonical Valpha7.2(+) MAIT cell and a few other TCR sequences that were still detectable in blood after 18 years.; CONCLUSIONS: Our observation that a massively expanded TCR Vbeta1-Jbeta2.3 chain paired with distinct yet closely related canonical or atypical MAIT cell-related alpha chains strongly points to an antigen-driven process in early active MS brain lesions.
Published: 2015
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82. Analysis of two LUT structures in digital predistortion based on memory polynomial and LUT

Author: Feng, Xiaowen, Wang, Yide, Descamps, Anne-Sophie, Feuvrie, Bruno, Charlier, Sandrine, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Sino-French Research Center in Information and Communication (SFC/RIC), Université de Nantes (UN)-Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Southern University of Science and Technology (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Look-Up Table (LUT) based Digital PreDistortion (DPD) is widely used for Power Amplifier (PA) linearization. In this paper, two LUTs of different spacing structures are compared with each other. One is even spacing in the in-LUT domain and uneven spacing in the out-LUT domain. The other one is uneven spacing in the in-LUT domain and even spacing in the out-LUT domain. These two LUT structures are adopted in DPD based on MP model and linearly interpolated LUT. The performance of the two LUT structures in DPD is compared by using Matlab and simulation results are analyzed. The performance of LUT in DPD is closely related to the predistorted signal statistics.
Published: 2015

83. Efficient time domain threshold for sparse channel estimation in OFDM system

Author: Suili Feng, Jean-François Diouris, Guillaume Andrieux, Yide Wang, Hui Xie, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Sino-French Research Center in Information and Communication (SFC/RIC), SFC/RIC, This work was supported by China Scholarship Council (No. 2010615039), the National High Technology Research and Development Program of China (863 Program) (No. 2012AA050801), and the Fundamental Research Funds of the Central Universities (No. 2012ZB0009)., Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: Orthogonal frequency-division multiplexing, Computer science, Spectral efficiency, Noise (electronics), Least squares, Standard deviation, time domain threshold, [SPI.TRON]Engineering Sciences [physics]/Electronics, least squares, Sparse channel estimation, Electronic engineering, Bit error rate, Time domain, Electrical and Electronic Engineering, Algorithm, Communication channel, Computer Science::Information Theory, OFDM
Abstract: International audience; A novel efficient time domain threshold based sparse channel estimation technique is proposed for orthogonal frequency division multiplexing (OFDM) systems. The proposed method aims to realize effective channel estimation without prior knowledge of channel statistics and noise standard deviation within a comparatively wide range of sparsity. Firstly, classical least squares (LS) method is used to get an initial channel impulse response (CIR) estimate. Then, an effective threshold, estimated from the noise coefficients of the initial estimated CIR, is proposed. Finally, the obtained threshold is used to select the most significant taps. Theoretical analysis and simulation results show that the proposed method achieves better performance in both BER (bit error rate) and NMSE (normalized mean square error) than the compared methods, has good spectral efficiency and moderate computational complexity.
Published: 2014
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84. Miniaturized Antenna Solution Based on Lossy Planar Microresonators to Conjointly Control Radiation and Selectivity

Author: Anne Chousseaud, Biyun Ma, Serge Toutain, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Patch antenna, Engineering, filtering antenna solution, Article Subject, business.industry, Miniaturized antenna, Antenna measurement, Antenna aperture, radiating filter, Antenna factor, lcsh:HE9713-9715, law.invention, Antenna efficiency, Radiation pattern, [SPI]Engineering Sciences [physics], law, Electronic engineering, lcsh:Cellular telephone services industry. Wireless telephone industry, Dipole antenna, lcsh:Electrical engineering. Electronics. Nuclear engineering, Electrical and Electronic Engineering, business, quasi-lumped structure, Monopole antenna, lcsh:TK1-9971
Abstract: International audience; In this paper, we propose a new method to design miniaturized compact antennas, in which it is possible to control conjointly the radiation efficiency and the bandwidth selectivity of the antenna. And this method has been validated by the realization of prototypes based on planar resonators. The geometry of these resonators has been chosen because their unloaded quality factor can be controlled and is mainly dependent on radiation loss. In a first time, a filter with a significant potential to radiation has been realized by choosing suitable miniaturized resonators. An antenna, based on the same structure, in which the output of the filter was removed (load by air resistance), can be obtained. Modification of the quality factor of each resonator is necessary to take into account the change of the load value from the previous filter to the final structure. The position and the quality factor of the resonators are determined by a filter design concept to obtain a specific frequency response in which each resonator is a basic radiation element. Load of the antenna is ultimately a distributed load constituted by the parallel contributions of each resonators to radiation loss. In other words such an antenna can also be called radiating filter.
Published: 2014
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85. Estimation de canal parcimonieux pour les systèmes OFDM

Author: Xie, Hui, Charlier, Sandrine, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), UNIVERSITE DE NANTES, SOUTH CHINA UNIVERSITY OF TECHNOLOGY, Guangzhou, Chine, Suili FENG Professeur South China University of Technology Guangzhou Chine, Yide WANG Professeur Ecole polytechnique de l’université de Nantes France, Guillaume ANDRIEUX Maître de Conférences IUT La Roche s/Yon France (encadrant), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Southern University of Science and Technology [Shenzhen] (SUSTech)
Subjects: [SPI.OTHER]Engineering Sciences [physics]/Other, système OFDM, LS method, estimation de canal, méthode LS, [SPI.OTHER] Engineering Sciences [physics]/Other, estimation de l’écart-type du bruit, channel estimation, échantillonnage, OFDM system, Canal parcimonieux, [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Sparse channel, seuil, noise standard deviation estimation, acquisition comprimée, non-sample spaced sparse channel, threshold, compressed sensing
Abstract: OFDM is widely used in wireless communications due to its capacity of high data rate transmission over frequency selective channel. For coherent detection of OFDM symbols, channel frequency responses must be estimated, which is usually done with the help of pilot tones.Frequency domain estimation methods are often employed with interpolation methods. Usually, interpolation methods introduce an error floor. The easy solution of increasing the number of pilots decreases the spectral efficiency of the system. Another solution is to work in the time domain. In general, the channel impulse response contains a limited number of significant values having more energy than the noise. In the case of sparse channel, this number is much smaller than that of pilot subcarriers. To improve the sparse channel estimation, some kind of threshold is needed.In this thesis, in the case where the number of pilots is larger than the length of cyclic prefix, a time domain sparse channel estimation method based on an original threshold is proposed. This method with high spectral efficiency, good channel estimation performance, low computational complexity, requires no prior knowledge of both the channel statistics and noise standard deviation.In the case where the channel is sparse with large delay spread, we propose an original channel estimation technique based on compressed sensing theory. The proposed method requires smaller number of pilots than that of classical frequency domain techniques.This work ends with the study of non-sample spaced sparse channel; the idea of smart measurement matrix is proposed to improve the efficiency of the classical CS based estimation methods., L’OFDM est très présent dans les communications sans-fil dû à sa capacité de transmission haut-débit sur des canaux sélectifs en fréquence. Pour une détection cohérente des symboles OFDM, les réponses fréquentielles du canal sont estimées à partir de sous-porteuses pilotes.Les méthodes d’estimation fréquentielles sont souvent employées avec des méthodes d’interpolation rarement efficaces. La solution simple d’accroitre le nombre de pilotes diminue l’efficacité spectrale du système. Une autre solution est de travailler dans le domaine temporel. En général, la réponse impulsionnelle du canal contient un nombre limité de valeurs significatives. Dans le cas d’un canal parcimonieux, ce nombre est beaucoup plus petit que celui des pilotes. Pour améliorer l’estimation du canal, l’utilisation d’un seuil est nécessaire.Dans cette thèse, si le nombre de pilotes est plus grand que la longueur du préfixe cyclique, une méthode d’estimation de canal parcimonieux basée sur l’utilisation d’un seuil temporel original est proposée. Cette méthode avec une haute efficacité spectrale, de bonnes performances d’estimation, une faible complexité de calcul, requiert aucune connaissance à priori des statistiques du canal et du bruit.Si le canal est parcimonieux avec un grand étalement temporel, une technique d’estimation de canal basée sur la théorie de l’acquisition comprimée est proposée. Cette méthode requiert un plus petit nombre de pilotes que les techniques classiques.Ce travail se termine avec l’étude des canaux dont les trajets sont situés en dehors des instants d’échantillonnage. L’utilisation d’une matrice de mesure intelligente permet d’améliorer l’efficacité des méthodes d’estimation.
Published: 2014

86. Robust fixed-complexity sphere decoders for rank-deficient MIMO systems

Author: Zhiqiang Yao, Yide Wang, Yuehua Ding, Jean-Francois Diouris, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Xiangtan University, Nantes Université (NU)-Université de Rennes 1 (UR1), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: Rank (linear algebra), Computational complexity theory, MIMO, 050801 communication & media studies, 02 engineering and technology, FSD, MIMO systems, 0508 media and communications, signal detection, Control theory, minimum mean square error (MMSE), 0202 electrical engineering, electronic engineering, information engineering, Preprocessor, Detection theory, Electrical and Electronic Engineering, array signal processing, Mathematics, Computer Science::Information Theory, Minimum mean square error, Applied Mathematics, 05 social sciences, 020206 networking & telecommunications, Computer Science Applications, Noise, Algorithm, Decoding methods, zero-forcing (ZF)
Abstract: International audience; Sphere decoder (SD) has variable complexity, and the traditional fixed-complexity sphere decoder (FSD) is not applicable for rank-deficient (N_T>N_R) multiple input multiple output (MIMO) systems (i.e. the down link detection in MIMO systems, or systems with highly correlated MIMO channels). To overcome these difficulties, in this paper, robust fixed-complexity sphere decoders (RFSD-s) based on new preprocessing algorithms are proposed for rank-deficient MIMO systems. With respect to the cases without and with information on the level of noise, RFSD using zero-forcing technique (RFSD-ZF) and FSD using minimum mean square error technique (FSD-MMSE) are proposed respectively. To reduce the computational complexity of RFSD-ZF, a simplified RFSD-ZF (SRFSD-ZF) with little performance loss is also introduced, the theoretical proof is given to support the feasibility of SRFSD-ZF. Simulation results show that, besides better performance than the traditional FSD, the proposed techniques are robust to the configuration of MIMO antennas (both N_T≤ N_R and N_T>N_R), which is another advantage over the traditional FSD.
Published: 2013
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87. Game-theoritical frequency reuse method for complex cognitive femto-cell network

Author: Zhou, Xiong, Feng, Suili, Ding, Yuehua, Wang, Yide, Zhang, Yongzhong, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), China Electronics Technology, Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Charlier, Sandrine, and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: Femto-cell network, Frequency collision, Self-organizing clustering, Game theory
Abstract: International audience; Generally, femto-cell base stations (FBS) are installed and maintained by users. Hence, the structure and scale of a femto-cell network are extremely variable. Frequency collision usually occurs between neighboring FBSs in such a complex femto-cell network, where fraction frequency reuse (FFR) method is used to eliminate the co-channel interference. In this paper, a novel frequency reuse method is proposed for femto-cell network by using game theory. The proposed method consists of selforganizing clustering and optimal frequency resources allocation inside a cluster. Simulation results show that the average capacity of femto-cell network can be effectively increased by implementing the proposed method.
Published: 2013

88. A novel effective compressed sensing based sparse channel estimation in OFDM system

Author: Xie, Hui, Andrieux, Guillaume, Wang, Yide, Feng, Suili, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Charlier, Sandrine, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Compressed Sensing, Sparse Channel estimation, Threshold, Orthogonal Matching Pursuit, Least Squares, Data_CODINGANDINFORMATIONTHEORY, Computer Science::Information Theory
Abstract: International audience; The optimal tradeoff among the channel estimation performance, spectrum efficiency and computational complexity has always been one of the major topics for wireless communication system especially OFDM system. Traditional channel estimation methods are usually based on the classical (Least Squares) LS method without considering whether the multipath channel is sparse or rich, therefore, those methods can hardly balance the channel estimation performance, spectrum efficiency and computational complexity. In this paper, we propose an effective compressed sensing (CS) based sparse channel estimation method for OFDM system. As an efficient reconstruction tool for CS, the orthogonal matching pursuit (OMP) is adopted in this paper for sparse channel estimation. For OMP algorithm, an good threshold is essential to promote the channel estimation accuracy. The proposed threshold is formulated based on theoretical derivation and analysis. Both simulation results and computational complexity evaluation show that the proposed method can effectively balance the channel estimation performance, spectrum efficiency and computational complexity.
Published: 2013

89. Threshold baded most significant taps detection for sparse channel estimation in OFDM system

Author: Xie, Hui, Andrieux, Guillaume, Wang, Yide, Diouris, Jean-François, Feng, Suili, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Charlier, Sandrine, Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: Sparse channel estimation, threshold, least squares (LS), orthogonal frequency division multiplexing (OFDM), Computer Science::Information Theory
Abstract: International audience; This paper addresses the effective sparse channel estimation based on the most significant taps (MST) selection with high spectral efficiency and moderate computational complexity for orthogonal frequency division multiplexing (OFDM) systems. The main goal of this paper is to obtain an efficient time domain threshold and achieve the channel estimation performance approaching the least squares (LS) method with exact sparsity (exact number of non-zero channel taps) without using prior knowledge of both channel statistics and noise standard deviation. Firstly, classical LS method is used to get an initial channel impulse response (CIR) estimate. Then a novel effective threshold, estimated from the noise coefficients of the initial estimated CIR, is proposed. Finally, the obtained threshold is used to select the most significant taps. Simulations show that the proposed method is able to achieve good channel estimation performances for sparse channel within a comparatively wide range of sparsity with small number of pilots and moderate computational complexity.
Published: 2013

90. Time delay and surface roughness estimation by subspace algorithms for pavement survey by radar

Author: Nicolas Pinel, Vincent Baltazart, Yide Wang, Cedric Le Bastard, Meng Sun, Amine Ihamouten, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut Français des Sciences des Transports, de l'Aménagement et des Réseaux (IFSSTAR), IFSSTAR, Centre d'études techniques de l'équipement Ouest (CETE Ouest), Avant création Cerema, Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Charlier, Sandrine, and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Engineering, 02 engineering and technology, Surface finish, 01 natural sciences, law.invention, MUSIC, 010309 optics, interface roughness, Radar engineering details, Wavelet, sensitivity analysis, law, Distortion, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Surface roughness, Radar, Remote sensing, time-delay estimation (TDE), ground penetrating radar (GPR), business.industry, [SPI.ELEC] Engineering Sciences [physics]/Electromagnetism, Wavelet transform, 020206 networking & telecommunications, method of moments (MoM), [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, [SPI.GCIV]Engineering Sciences [physics]/Civil Engineering, Ground-penetrating radar, [SPI.GCIV] Engineering Sciences [physics]/Civil Engineering, pavement survey, business
Abstract: International audience; In civil engineering, ground penetrating radar is widely used for road pavement surveys. In contrast to the existing literature, the influence of interface roughness (surface and interlayer roughness of stratified media) is accounted for within the scope of the data processing of radar signals. The rigorous electromagnetic method PILE (propagation inside layer expansion) provides the simulated data. The observed frequency variations of the radar magnitude introduce some shape distortion on the radar wavelet. An adaptation of the root-MUSIC algorithm is proposed on the basis of the work in [4]. As a result, it is allowed to jointly estimate the time delay and the interface roughness.
Published: 2013

91. Compressed sensing based non-sample spaced sparse channel estimation in OFDM system

Author: Xie, Hui, Andrieux, Guillaume, Wang, Yide, Diouris, Jean-François, Feng, Suili, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Charlier, Sandrine, and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: non-sample spaced sparse channel estimation, Data_CODINGANDINFORMATIONTHEORY, redundant dictionary, OFDM, Computer Science::Information Theory, compressed sensing
Abstract: International audience; This paper investigates the non-sample spaced sparse channel estimation in OFDM system. Aims to pursuing effective estimation performance for the non-sample spaced channel with statistical delays of the multipath, the concept of the redundant dictionary is introduced and the compressed sensing (CS) theory is discussed and employed. In the simulations, the performances of the conventional method and the CS based method are compared.
Published: 2013

92. Richness of human gut microbiome correlates with metabolic markers

Author: Le Chatelier, Emmanuelle, Nielsen, Trine, Qin, Junjie, Prifti, Edi, Hildebrand, Falk, Falony, Gwen, Almeida, Mathieu, Arumugam, Manimozhiyan, Batto, Jean-Michel, Kennedy, Sean, Leonard, Pierre, Li, Junhua, Burgdorf, Kristoffer, Grarup, Niels, Jørgensen, Torben, Brandslund, Ivan, Nielsen, Henrik Bjørn, Juncker, Agnieszka S., Bertalan, Marcelo, Levenez, Florence, Pons, Nicolas, Rasmussen, Simon, Sunagawa, Shinichi, Tap, Julien, Tims, Sebastian, Zoetendal, Erwin G., Brunak, Søren, Clément, Karine, Doré, Joël, Kleerebezem, Michiel, Kristiansen, Karsten, Renault, Pierre, Sicheritz-Ponten, Thomas, de Vos, Willem M., Zucker, Jean-Daniel, Raes, Jeroen, Hansen, Torben, Guedon, Eric, Delorme, Christine, Layec, Séverine, Khaci, Ghalia, van de Guchte, Maarten, Vandemeulebrouck, Gaetana, Jamet, Alexandre, Dervyn, Rozenn, Sanchez, Nicolas, Maguin, Emmanuelle, Haimet, Florence, Winogradski, Yohanan, Cultrone, Antonella, Leclerc, Marion, Juste, Catherine, Blottière, Hervé, Pelletier, Eric, LePaslier, Denis, Artiguenave, François, Bruls, Thomas, Weissenbach, Jean, Turner, Keith, Parkhill, Julian, Antolin, Maria, Manichanh, Chaysavanh, Casellas, Francesc, Boruel, Natalia, Varela, Encarna, Torrejon, Antonio, Guarner, Francisco, Denariaz, Gérard, Derrien, Muriel, van Hylckama Vlieg, Johan E. T., Veiga, Patrick, Oozeer, Raish, Knol, Jan, Rescigno, Maria, Brechot, Christian, M’Rini, Christine, Mérieux, Alexandre, Yamada, Takuji, Bork, Peer, Wang, Jun, Ehrlich, S. Dusko, Pedersen, Oluf, MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Beijing Genomics Institute [Shenzhen] (BGI), Department of Structural Biology, Flanders Institute for Biotechnology, Department of Bioscience Engineering, Vrije Universiteit Brussel (VUB), European Molecular Biology Laboratory, School of Bioscience and Biotechnology, Southern University of Science and Technology [Shenzhen] (SUSTech), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Clinical Biochemistry, Vejle Hospital, Institute of Regional Health Research, University of Southern Denmark (SDU), Center for Biological Sequence Analysis & Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark [Lyngby] (DTU), Laboratory of Microbiology, Wageningen University and Research [Wageningen] (WUR), U872 Centre de Recherche des Cordeliers, Nutriomique, Équipe 7, Centre de Recherche des Cordeliers (CRC (UMR_S 872)), Université Paris Descartes - Paris 5 (UPD5)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de Recherche en Nutrition Humaine d'Ile-de-France (CRNH Ile-de-France), Institute of Cardiometabolism and Nutrition, Assistance Publique - Hôpitaux de Paris, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], Department of Bacteriology and Immunology [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA), Faculty of Health Sciences, King Abdulaziz University, Center for Sequencing, Aarhus University [Aarhus], Hagedorn Research Institute, Faculty of Health, Département Microbiologie et Chaîne Alimentaire (MICA), European Community (HEALTH-F4-2007-201052) - Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care (LuCamp) - ANR MicroObes, the Metagenopolis grant (ANR-11-DPBS-0001 ) - Region Ile de France (CODDIM) - Fondacoeur - Novo Nordisk Foundation, US 1367 MetaGénoPolis, Institut National de la Recherche Agronomique ( INRA ) -MetaGénoPolis ( MGP ) -Microbiologie et Chaîne Alimentaire ( MICA ), Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen ( KU ), Beijing Genomics Institute, Vrije Universiteit [Brussel] ( VUB ), South University of Science and Technology of China, Research Centre for Prevention and Health, Glostrup University Hospital, Aalborg University [Denmark] ( AAU ), UNIVERSITY OF SOUTHERN DENMARK, Technical University of Denmark [Lyngby] ( DTU ), Wageningen University and Research Centre [Wageningen] ( WUR ), Centre de Recherche des Cordeliers ( CRC (UMR_S 872) ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ), MICrobiologie de l'ALImentation au Service de la Santé humaine ( MICALIS ), Institut National de la Recherche Agronomique ( INRA ) -AgroParisTech, Department of Biology, Department of Bacteriology and Immunology, Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] ( UMMISCO ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop ( UCAD ) -Université Gaston Bergé (Saint-Louis, Sénégal)-Universtié Yaoundé 1 [Cameroun]-University Cadi Ayyad ( UCA ), Department of Biology / Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research / Institute of Biomedical Science, Département Microbiologie et Chaîne Alimentaire ( MICA ), Institut National de la Recherche Agronomique ( INRA ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Cadi Ayyad [Marrakech] (UCA)-Université de Yaoundé I-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut National de la Recherche Agronomique (INRA)-Département Microbiologie et Chaîne Alimentaire (MICA), Institut National de la Recherche Agronomique (INRA)-MetaGénoPolis (MGP), Vrije Universiteit [Brussels] (VUB), Wageningen University and Research Centre [Wageningen] (WUR), Université Cadi Ayyad [Marrakech] (UCA)-Universtié Yaoundé 1 [Cameroun]-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de la francophonie pour l'informatique-Université Pierre et Marie Curie - Paris 6 (UPMC), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Southern University of Science and Technology (SUSTech), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Vejle Hospital [Danemark], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, and Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université de Yaoundé I-Institut de la francophonie pour l'informatique-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Université Gaston Bergé (Saint-Louis, Sénégal)-Université Cadi Ayyad [Marrakech] (UCA)
Subjects: Male, [SDV]Life Sciences [q-bio], body-mass index, Overweight, Weight Gain, Body Mass Index, 0302 clinical medicine, Microbiologie, insulin resistance, Phylogeny, 2. Zero hunger, 0303 health sciences, education.field_of_study, adiposity, Multidisciplinary, reared apart, Ecology, twins, 3. Good health, Europe, 030220 oncology & carcinogenesis, Enterotype, Biological Markers, Female, medicine.symptom, weight-loss, Adult, diet-induced obesity, Population, European Continental Ancestry Group, Zoology, body mass index, wide association, Biology, Microbiology, White People, insulin-resistance, 03 medical and health sciences, Thinness, diet induced obesity, Weight Loss, medicine, Humans, Microbiome, Host-Microbe Interactomics, Obesity, education, 030304 developmental biology, VLAG, Dyslipidemias, disease, Bacteria, [ SDV ] Life Sciences [q-bio], medicine.disease, Diet, Gastrointestinal Tract, Metagenomics, Genes, Bacterial, inflammation, Case-Control Studies, WIAS, Metagenome, Species richness, Insulin Resistance, weight loss, Energy Metabolism, Weight gain, Biomarkers
Abstract: We are facing a global metabolic health crisis provoked by an obesity epidemic. Here we report the human gut microbial composition in a population sample of 123 non-obese and 169 obese Danish individuals. We find two groups of individuals that differ by the number of gut microbial genes and thus gut bacterial richness. They contain known and previously unknown bacterial species at different proportions; individuals with a low bacterial richness (23% of the population) are characterized by more marked overall adiposity, insulin resistance and dyslipidaemia and a more pronounced inflammatory phenotype when compared with high bacterial richness individuals. The obese individuals among the lower bacterial richness group also gain more weight over time. Only a few bacterial species are sufficient to distinguish between individuals with high and low bacterial richness, and even between lean and obese participants. Our classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.
Published: 2013
Full Text: View/download PDF

93. Dispositifs multifonctions pour l'intégration des frontaux radiofréquences. Partie 1 : Optimisation des performances des systèmes de communication par contrôle conjoint du filtrage et du rayonnement

Author: Ma, Biyun, Chousseaud, Anne, Toutain, Serge, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), and Charlier, Sandrine
Subjects: ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2012

94. Time-varying channel estimation for MIMO/OFDM systems using superimposed training and basis expandion models

Author: Zhang, Han, Cui, Haixia, Pan, Daru, Wang, Yide, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2012
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95. Radiation and circuit model of a planar resonator element with shorting via

Author: Biyun Ma, Serge Toutain, Anne Chousseaud, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: Engineering, business.industry, Acoustics, 020208 electrical & electronic engineering, 020206 networking & telecommunications, 02 engineering and technology, Radiation, Capacitance, Electromagnetic radiation, Microstrip, Inductance, Resonator, Planar, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Electrical and Electronic Engineering, business, Radiation resistance, ComputingMilieux_MISCELLANEOUS
Abstract: We propose the study of a planar quasi-lumped resonator element. It is composed of a shorting via, modelled as a parallel inductance and a very short open-ended microstrip line, modelled as a capacitance. We discuss the physical parameter influences of the resonator, which offer a path to control its radiation characteristic. A circuit model with closed-form expressions of the radiation resistance and the unloaded quality factor is presented. The discontinuity influences of the shorting via and the open-ended microstrip borders are discussed. The experimental and theoretical results verify the proposed circuit model. A radiation model based on the results of electromagnetic simulations has also been proposed.
Published: 2012
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96. Adaptive MIMO detection algorithm by jointly exploiting the properties of signal and channel

Author: Yuehua Ding, Jean-Francois Diouris, Yide Wang, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Charlier, Sandrine, and Nantes Université (NU)-Université de Rennes 1 (UR1)
Subjects: MIMO, 020206 networking & telecommunications, 02 engineering and technology, Signal, Interference (communication), 0202 electrical engineering, electronic engineering, information engineering, Bit error rate, 020201 artificial intelligence & image processing, Detection theory, Communication complexity, Algorithm, ComputingMilieux_MISCELLANEOUS, Communication channel, Phase-shift keying, Mathematics
Abstract: The purpose of this paper is to develop an algorithm achieving the performance of fixed-complexity decoder (FSD) with much lower complexity than FSD. An adaptive expansion strategy (AES) is proposed for MMSE Ordered Successive Interference Canceling (MMSE-OSIC). The expansion degree varies according to the channel condition, especially, partial expansion (PE) is proposed in this paper as a transition between Single expansion (SE) and full expansion (FE). Widely linear processing, which is usually confined to non circular signals, is extended to circular signals in PE. Simulation shows that the proposed AES can significantly reduce the complexity with little performance loss, compared with FSD.
Published: 2011

97. Performance improvement in cognitive radio systems with correlated multiple antennas

Author: Gang Wei, Yixian Liu, Yide Wang, Southern University of Science and Technology (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Charlier, Sandrine, and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: Signal processing, Computer Networks and Communications, business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, Software-defined radio, Antenna array, 020210 optoelectronics & photonics, Signal-to-noise ratio, Cognitive radio, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Node (circuits), Electrical and Electronic Engineering, Antenna (radio), Performance improvement, Telecommunications, business, Software, ComputingMilieux_MISCELLANEOUS, Computer Science::Information Theory
Abstract: The performance of spectrum sensing in cognitive radio can be improved by employing multiple antennas. In this letter, the effect of antenna correlation on the performance improvement by deploying multiple antennas in the sensing node of the secondary system is investigated. It is proved mathematically that in the regime of low SNR, with antenna correlation, the secondary sensing node can achieve almost the same performance improvement as that without correlation. Simulation results verify the conclusions.
Published: 2011

98. Robust threshold compressed sensing based sparse multipath channel estimation in OFDM system

Author: Yide Wang, Andrieux Guillaume, Hui Xie, Suili Feng, Jean-François Diouris, Charlier, Sandrine, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology [Shenzhen] (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
Subjects: 0209 industrial biotechnology, Mathematical optimization, Iterative method, Orthogonal frequency-division multiplexing, Wavelet transform, 020206 networking & telecommunications, Data_CODINGANDINFORMATIONTHEORY, 02 engineering and technology, Matching pursuit, Noise, 020901 industrial engineering & automation, Compressed sensing, Wavelet, 0202 electrical engineering, electronic engineering, information engineering, Algorithm, ComputingMilieux_MISCELLANEOUS, Computer Science::Information Theory, Communication channel, Mathematics
Abstract: In this paper, the Compressed Sensing (CS) based channel estimation scheme for the sparse multipath channel in OFDM system is considered. The CS based multipath delay channel model is investigated by using only a small amount of pilots to get the measurement matrix and the orthogonal matching pursuit (OMP) is adopted to reconstruct the channel impulse response. In order to overcome the drawback of not knowing the optimal number of iterations for OMP which reflects the number of optimal significant taps of a sparse multipath channel, this paper proposes a robust threshold CS-OMP based sparse channel estimation scheme, which uses noise coefficients among the detail wavelet coefficients to get a robust threshold, and achieves an effective channel estimation performance. Simulations show that the proposed method can significantly improve the performance which approximates closely the performance of optimal iteration number for CS-OMP based channel estimation.
Published: 2011

99. Simplified robust fixed-complexity sphere decoder

Author: Ding, Yuehua, Diouris, Jean Francois, Wang, Yide, Charlier, Sandrine, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Subjects: ComputingMilieux_MISCELLANEOUS
Abstract: Publication in the conference proceedings of EUSIPCO, Barcelona, Spain, 2011
Published: 2011

100. Robust fixed complexity sphere decoder

Author: Yuehua Ding, Jean-Franscois Diouris, Yide Wang, Southern University of Science and Technology [Shenzhen] (SUSTech), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Southern University of Science and Technology (SUSTech), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Nantes Université (NU)-Université de Rennes 1 (UR1), and Charlier, Sandrine
Subjects: Robustness (computer science), Computer science, Control theory, MIMO, 0202 electrical engineering, electronic engineering, information engineering, Bit error rate, 020206 networking & telecommunications, 020201 artificial intelligence & image processing, 02 engineering and technology, Algorithm, Decoding methods, ComputingMilieux_MISCELLANEOUS, Computer Science::Information Theory
Abstract: In this paper, RFSD (Robust Fixed-complexity Sphere Decoder) based on a new preprocessing algorithm is proposed for MIMO (Multiple Input Multiple Output) detection. Unlike the original FSD (Fixed-complexity Sphere Decoder) ordering which determines the FE (Full expansion) stage by choosing the signal component with greatest post-processing noise amplification on itself, the proposed RFSD determines the FE stage by selecting the signal component with the smallest postprocessing impact on the undetected signal component in following SE (Single Expansion) stage. Besides better performance than the original FSD ordering, RFSD is robust to the configuration of MIMO antennas (both NT NR), which is another advantage over original FSD ordering.
Published: 2010

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