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198 results on '"Yetongnon, Kokou"'

1. Smart Buildings: A Comprehensive Systematic Literature Review on Data-Driven Building Management Systems.

Author

Taboada-Orozco, Adrian, Yetongnon, Kokou, and Nicolle, Christophe

Subjects
*CONSTRUCTION management, *INDUSTRIALIZED building, *INTELLIGENT buildings, *INFORMATION & communication technologies, *COMPUTER science
Abstract

Buildings are complex structures composed of heterogeneous elements; these require building management systems (BMSs) to dynamically adapt them to occupants' needs and leverage building resources. The fast growth of information and communication technologies (ICTs) has transformed the BMS field into a multidisciplinary one. Consequently, this has caused several research papers on data-driven solutions to require examination and classification. This paper provides a broad overview of BMS by conducting a systematic literature review (SLR) summarizing current trends in this field. Unlike similar reviews, this SLR provides a rigorous methodology to review current research from a computer science perspective. Therefore, our goal is four-fold: (i) Identify the main topics in the field of building; (ii) Identify the recent data-driven methods; (iii) Understand the BMS's underlying computing architecture (iv) Understand the features of BMS that contribute to the smartization of buildings. The result synthesizes our findings and provides research directions for further research. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Web Services Composition in the Presence of Uncertainty

Author

Amdouni, Soumaya, Barhamgi, Mahmoud, Benslimane, Djamal, Faiz, Rim, Yetongnon, Kokou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Yu, Eric, editor, Dobbie, Gillian, editor, Jarke, Matthias, editor, and Purao, Sandeep, editor

Published
2014
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4. SemIndex: Semantic-Aware Inverted Index

Author

Chbeir, Richard, Luo, Yi, Tekli, Joe, Yetongnon, Kokou, Ibañez, Carlos Raymundo, Traina, Agma J. M., Traina, Caetano, Jr., Al Assad, Marc, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Manolopoulos, Yannis, editor, Trajcevski, Goce, editor, and Kon-Popovska, Margita, editor

Published
2014
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5. A Approach to Clinical Proteomics Data Quality Control and Import

Author

Naubourg, Pierre, Savonnet, Marinette, Leclercq, Éric, Yétongnon, Kokou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Böhm, Christian, editor, Khuri, Sami, editor, Lhotská, Lenka, editor, and Pisanti, Nadia, editor

Published
2011
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7. Extensible User-Based XML Grammar Matching

Author

Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Laender, Alberto H. F., editor, Castano, Silvana, editor, Dayal, Umeshwar, editor, Casati, Fabio, editor, and de Oliveira, José Palazzo M., editor

Published
2009
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8. Relating RSS News/Items

Author

Getahun, Fekade, Tekli, Joe, Chbeir, Richard, Viviani, Marco, Yetongnon, Kokou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Gaedke, Martin, editor, Grossniklaus, Michael, editor, and Díaz, Oscar, editor

Published
2009
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9. A Hybrid Approach for XML Similarity

Author

Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, van Leeuwen, Jan, editor, Italiano, Giuseppe F., editor, van der Hoek, Wiebe, editor, Meinel, Christoph, editor, Sack, Harald, editor, and Plášil, František, editor

Published
2007
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10. Structural Similarity Evaluation Between XML Documents and DTDs

Author

Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Benatallah, Boualem, editor, Casati, Fabio, editor, Georgakopoulos, Dimitrios, editor, Bartolini, Claudio, editor, Sadiq, Wasim, editor, and Godart, Claude, editor

Published
2007
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11. A Fine-Grained XML Structural Comparison Approach

Author

Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Parent, Christine, editor, Schewe, Klaus-Dieter, editor, Storey, Veda C., editor, and Thalheim, Bernhard, editor

Published
2007
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12. Cost Models and Performance Evaluation of Similarity Search in the HON P2P System

Author

Kacimi, Mouna, Yétongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Guo, Minyi, editor, Yang, Laurence T., editor, Di Martino, Beniamino, editor, Zima, Hans P., editor, Dongarra, Jack, editor, and Tang, Feilong, editor

Published
2006
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13. Towards Multimedia Fragmentation

Author

Saad, Samir, Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Manolopoulos, Yannis, editor, Pokorný, Jaroslav, editor, and Sellis, Timos K., editor

Published
2006
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14. Flexible Shape-Based Query Rewriting

Author

Chalhoub, Georges, Chbeir, Richard, Yetongnon, Kokou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Larsen, Henrik Legind, editor, Pasi, Gabriella, editor, Ortiz-Arroyo, Daniel, editor, Andreasen, Troels, editor, and Christiansen, Henning, editor

Published
2006
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16. Context Comparison for Object Fusion

Author

Jouanot, Fabrice, Cullot, Nadine, Yétongnon, Kokou, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Eder, Johann, editor, and Missikoff, Michele, editor

Published
2003
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25. SemIndex: Semantic-Aware Inverted Index

Author

Chbeir, Richard, primary, Luo, Yi, additional, Tekli, Joe, additional, Yetongnon, Kokou, additional, Ibañez, Carlos Raymundo, additional, Traina, Agma J. M., additional, Traina, Caetano, additional, and Al Assad, Marc, additional

Published
2014
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31. XML integration and toolkit for B2B applications

Author

Nicolle, Christophe, Yetongnon, Kokou, and Simon, Jean-Claude

Abstract

ABSTRACT This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of business-to-business (B2B) design environments and applications. X-TIME provides a data model translator […]

Published
2003

42. Cascaded CNN Method for Far Object Detection in Outdoor Surveillance

Author

Ghahremani, Amir, Bondarev, Egor, de With, Peter H.N., Chbeir, Richard, di Baja, Gabriella Sanniti, Gallo, Luigi, Yetongnon, Kokou, Dipanda, Albert, Castrillon-Santana, Modesto, and Video Coding & Architectures

Subjects
Sequence, business.industry, Computer science, Reliability (computer networking), Detector, Feature extraction, Vessel detection, 02 engineering and technology, Cascaded CNNs, 010501 environmental sciences, 01 natural sciences, Object detection, Public access, Maritime surveillance, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Far object detection, Artificial intelligence, Surveillance camera, Recall rate, business, 0105 earth and related environmental sciences
Abstract

In maritime surveillance, detection of small ships and vessels located far away in the scene is of vital importance for behaviour analysis. Comparing to closely located objects, far objects are often captured in a smaller size and lack the adequate amount of details. Therefore, conventional detectors fail to recognize them. This paper proposes a CNN-based cascaded method for reliable detection of objects and more specifically vessels, located far away from a surveillance camera. The cascaded method improves small object detection accuracy by additional processing of the obtained candidate regions in their original resolution. The additional processing includes another detection iteration and a sequence of detection verification steps. Experimental results on our real-world vessel evaluation dataset reveal that the cascaded method increases the recall rate and F1- measurement by 13% and 12%, respectively. Another benefit is that the method does not require an adopter to change the model and architecture of the applied network. As an additional contribution, we provide a labeled maritime dataset to open public access.

Published
2018

43. Dual-camera facial landmark tracking for clinical infant monitoring

Author

Saeijs, Ronald W.J.J., Tjona Ten, Walther E., de With, Peter H.N., Chbeir, Richard, di Baja, Gabriella Sanniti, Gallo, Luigi, Yetongnon, Kokou, Dipanda, Albert, Castrillon-Santana, Modesto, and Video Coding & Architectures

Subjects
endocrine system, Landmark, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020207 software engineering, Monitoring system, 02 engineering and technology, DUAL (cognitive architecture), Head tracking, Tracking (particle physics), Visualization, Tracking error, Facial landmark tracking, Infant monitoring, Dual camera, 0202 electrical engineering, electronic engineering, information engineering, Dense HOG, face alignment, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Face detection, business, psychological phenomena and processes
Abstract

This paper presents a new algorithm for dual-camera facial landmark tracking, intended for clinical infant monitoring. For landmark tracking of in-the-wild faces, state-of-the-art solutions use deep networks for face detection and landmark localization. For clinical infant monitoring, however, there is currently not enough data to reliably train such networks. The proposed algorithm overcomes this by incorporating 3D head tracking, to supplement face detection and to enable a refinement version of landmark localization that is more easily learned from less data. The paper reports experimental results on real-life video of infants in bed in hospital (in visual light or near-infrared light), showing good landmark tracking behavior. For challenging sequences without severe occlusions, the mean tracking error, in terms of the RMS error measured for a subset of landmarks and divided by the maximum eye-philtrum distance, remains below 20%. The proposed algorithm is used successfully in an infant monitoring system under development.

Published
2018

44. 14th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2018

Author

Sanniti di Baja, Gabriella, Luigi, Gallo, Yetongnon, Kokou, Dipanda, Albert, Castrillón-Santana, Modesto, Chbeir, Richard, CNR - National Research Council of Italy, IHPCN, Consiglio Nazionale delle Ricerche [Roma] (CNR), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Equipe CORES [ImViA - EA7535] (CORES), Imagerie et Vision Artificielle [Dijon] (ImViA), Université de Bourgogne (UB)-Université de Bourgogne (UB), IUSIANI, University of Las Palmas de Gran Canaria (ULPGC), MediaCorpus, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Universidad de Las Palmas de la Gran Canaria, University of Bourgogne, France (UB), National research Council of Italy, Gran Canaria, and Mansour, Elio

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs]
Abstract

International audience; The SITIS conference is dedicated to research on the technologies used to represent, share and process information in various forms, ranging from signal, image, and multimedia data to traditional structured data and semi-structured data found in the web.SITIS spans two inter-related research domains that increasingly play a key role in connecting systems across network centric environments to allow distributed computing and information sharing. SITIS 2018 aims to provide a forum for high quality presentations on research activities centered on the following main tracks.The track titled "Signal Image & Vision Technologies" (SIVT) focuses on recent developments in digital signal processing and pays particular attention to evolutions in audiovisual signal processing, analysis, coding and authentication, and retrieval techniques.The track titled “Intelligent Web Computing and Applications” (I-WeCA) is on emerging and novel concepts, architectures and methodologies for information management, including the semantic web, big data, and cloud computing. Finally, social networks have grown rapidly in size and have witnessed a popular expansion to reach billions of users, providing a suitable space for sharing data, interacting with other users and forming communities with common interests. The focus of the Track on "Large, Heterogeneous Networks and their Applications" (LHNA) track is on emerging and novel concepts, architectures and methodologies for social networks analysis, tools and applications, including issues related to complex graphs, semantics, big data, and security.SITIS is also dedicated to bring together scientists from the world over, particularly from developing countries, to share and exchange knowledge, experience and research results. When the conference is hosted by research institutions in developing countries, a particular emphasis will be placed on the presentation of applied research, the organization of practical tutorials and workshops that may help address the information processing needs of these countries, and book give away sessions to allow conference attendees to donate books to the local institutions.

Published
2018

45. Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS

Author

joe.tekli@lau.edu.lb, Tekli, Joe, Chbeir, Richard, Traina, Agma J.M., Traina, Caetano, Yetongnon, Kokou, Ibanez, Carlos Raymundo, Al Assad, Marc, Kallas, Christian, joe.tekli@lau.edu.lb, Tekli, Joe, Chbeir, Richard, Traina, Agma J.M., Traina, Caetano, Yetongnon, Kokou, Ibanez, Carlos Raymundo, Al Assad, Marc, and Kallas, Christian

Abstract

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado., In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. In this paper, we address the problem of semantic-aware querying and provide a general framework for modeling and processing semantic-based keyword queries in textual databases, i.e., considering the lexical and semantic similarities/disparities when matching user query and data index terms. To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. To investigate the practicality and effectiveness of SemIndex, we discuss its physical design within a standard commercial RDBMS allowing to create, store, and query its graph structure, thus enabling the system to easily scale up and handle large volumes of data. We have conducted a battery of experiments to test the performance of SemIndex, evaluating its construction time, storage size, query processing time, and result quality, in comparison with legacy inverted index. Results highlight both the effectiveness and scalability of our approach., This study is partly funded by the National Council for Scientific Research - Lebanon (CNRS-L), by the Lebanese American University (LAU), and the Research Support Foundation of the State of Sao Paulo ( FAPESP ). Appendix SemIndex Weighting Scheme We propose a set of weighting functions to assign weight scores to SemIndex entries, including: index nodes , index edges, data nodes , and data edges . The weighting functions are used to select and rank semantically relevant results w.r.t. the user's query (cf. SemIndex query processing in Section 5). Other weight functions could be later added to cater to the index designer's needs., Revisión por pares

Published
2018

46. A hybrid approach for XML similarity

Author

Tekli, Joe, Chbeir, Richard, Yetongnon, Kokou, Tekli, Joe, Chbeir, Richard, and Yetongnon, Kokou

Abstract

In the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. Various algorithms for comparing hierarchically structured data, e.g. XML documents, have been proposed in the literature. However, to our knowledge, most of them focus exclusively on comparing documents based on structural features, overlooking the semantics involved. In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Our approach comprises of an original edit distance operation cost model, introducing semantic relatedness of XML element/attribute labels, in traditional edit distance computations. A prototype has been developed to evaluate our model’s performance. Experiments yielded notable results.

Published
2018

47. Sitis 2017 foreword

Author

Yetongnon, Kokou, Dipanda, Albert, Chbeir, Richard, Gallo, Luigi, and Nain, Neeta

Subjects
sitis 2017
Abstract

Four main tracks SIVT (Signal & Image and Vision Technology), I-WeCA (Intelligent Web Computing and Application), MIRA (Multimedia Information Retrieval and Application) and LHNA (Heterogeneous Large Networks and their Applications) are included in the 13th International Conference On Signal-Image Technology & Internet-Based Systems SITIS'15. I-WeCA focuses on issues ranging from information modeling and retrieval techniques to novel concepts, architectures and methodologies for interconnecting information systems. SIVT is aimed at recent developments in digital signal processing, evolutions in audiovisual signal processing, analysis, coding and authentication, and retrieval techniques. MIRA is focused on emerging modeling, representation and retrieval techniques that take into account the amount, type and diversity of multimedia information accessible in distributed computing environment. The focus of LHNA is on emerging and novel concepts, architectures and methodologies for social networks analysis, tools and applications, including issues related to complex graphs, semantics, big data, and security.

Published
2017
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50. SemIndex

Author

Tekli, Joe, Chbeir, Richard, Luo, Yi, Yetongnon, Kokou, Ibanez, Carlos Raymundo, Traina, Agma J.M., Traina, Caeteno, Al Assad, Marc, Tekli, Joe, Chbeir, Richard, Luo, Yi, Yetongnon, Kokou, Ibanez, Carlos Raymundo, Traina, Agma J.M., Traina, Caeteno, and Al Assad, Marc

Abstract

This paper focuses on the important problem of semantic-aware search in textual (structured, semi-structured, NoSQL) databases. This problem has emerged as a required extension of the standard containment keyword based query to meet user needs in textual databases and IR applications. We provide here a new approach, called SemIndex, that extends the standard inverted index by constructing a tight coupling inverted index graph that combines two main resources: a general purpose semantic network, and a standard inverted index on a collection of textual data. We also provide an extended query model and related processing algorithms with the help of SemIndex. To investigate its effectiveness, we set up experiments to test the performance of SemIndex. Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.

Published
2017

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