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209 results on '"Sharma, Varun P."'

3. Speech and Text-Based Emotion Recognizer

Author

Sharma, Varun

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Affective computing is a field of study that focuses on developing systems and technologies that can understand, interpret, and respond to human emotions. Speech Emotion Recognition (SER), in particular, has got a lot of attention from researchers in the recent past. However, in many cases, the publicly available datasets, used for training and evaluation, are scarce and imbalanced across the emotion labels. In this work, we focused on building a balanced corpus from these publicly available datasets by combining these datasets as well as employing various speech data augmentation techniques. Furthermore, we experimented with different architectures for speech emotion recognition. Our best system, a multi-modal speech, and text-based model, provides a performance of UA(Unweighed Accuracy) + WA (Weighed Accuracy) of 157.57 compared to the baseline algorithm performance of 119.66, Comment: 11 pages 9 figures, 9 tables

Published
2023

7. Photonic integrated processor for structured light detection and distinction

Author

Bütow, Johannes, Sharma, Varun, Brandmüller, Dorian, Eismann, Jörg S., and Banzer, Peter

Subjects
Physics - Optics
Abstract

Integrated photonic devices have become pivotal elements across most research fields that involve light-based applications. A particularly versatile category of this technology are programmable photonic integrated processors, which are being employed in an increasing variety of applications, like communication or photonic computing. Such processors accurately control on-chip light within meshes of programmable optical gates. Free-space optics applications can utilize this technology by using appropriate on-chip interfaces to couple distributions of light to the photonic chip. This enables, for example, access to the spatial properties of free-space light, particularly to phase distributions, which is usually challenging and requires either specialized devices or additional components. Here we discuss and show the detection of amplitude and phase of structured higher-order light beams using a multipurpose photonic processor. Our device provides measurements of amplitude and phase distributions which can be used to, e.g., directly distinguish light's orbital angular momentum without the need for further elements interacting with the free-space light. Paving a way towards more convenient and intuitive phase measurements of structured light, we envision applications in a wide range of fields, specifically in microscopy or communications where the spatial distributions of lights properties are important.

Published
2023
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8. Steam Recommendation System

Author

Batra, Samin, Sharma, Varun, Sun, Yurou, Wang, Xinyao, and Wang, Yinyu

Subjects
Computer Science - Information Retrieval
Abstract

We aim to leverage the interactions between users and items in the Steam community to build a game recommendation system that makes personalized suggestions to players in order to boost Steam's revenue as well as improve the users' gaming experience. The whole project is built on Apache Spark and deals with Big Data. The final output of the project is a recommendation system that gives a list of the top 5 items that the users will possibly like.6, Comment: 6 pages, 7 figures, 8 tables

Published
2023

9. Near-video frame rate quantum sensing using Hong-Ou-Mandel interferometry

Author

Singh, Sandeep, Kumar, Vimlesh, Sharma, Varun, Faccio, Daniele, and Samanta, G. K.

Subjects
Physics - Optics, Quantum Physics
Abstract

Hong-Ou-Mandel (HOM) interference, the bunching of two indistinguishable photons on a balanced beam-splitter, has emerged as a promising tool for quantum sensing. There is a need for wide spectral-bandwidth photon pairs (for high-resolution sensing) with high brightness (for fast sensing). Here we show the generation of photon-pairs with flexible spectral-bandwidth even using single-frequency, continuous-wave diode laser enabling high-precision, real-time sensing. Using 1-mm-long periodically-poled KTP crystal, we produced degenerate, photon-pairs with spectral-bandwidth of 163.42$\pm$1.68 nm resulting in a HOM-dip width of 4.01$\pm$0.04 $\mu$m to measure a displacement of 60 nm, and sufficiently high brightness to enable the measurement of vibrations with amplitude of $205\pm0.75$ nm and frequency of 8 Hz. Fisher-information and maximum likelihood estimation enables optical delay measurements as small as 4.97 nm with precision (Cram\'er-Rao bound) and accuracy of 0.89 and 0.54 nm, respectively, therefore showing HOM sensing capability for real-time, precision-augmented, in-field quantum sensing applications.

Published
2023

10. Generating free-space structured light with programmable integrated photonics

Author

Bütow, Johannes, Eismann, Jörg S., Sharma, Varun, Brandmüller, Dorian, and Banzer, Peter

Subjects
Physics - Optics
Abstract

Structured light is a key component of many modern applications, ranging from superresolution microscopy to imaging, sensing, and quantum information processing. As the utilization of these powerful tools continues to spread, the demand for technologies that enable the spatial manipulation of fundamental properties of light, such as amplitude, phase, and polarization grows further. In this respect, technologies based on liquid-crystal cells, e.g., spatial light modulators, became very popular in the last decade. However, the rapidly advancing field of integrated photonics allows entirely new routes towards beam shaping that not only outperform liquid-crystal devices in terms of speed, but also have substantial potential with respect to robustness and conversion efficiencies. In this study, we demonstrate how a programmable integrated photonic processor can generate and control higher-order free-space structured light beams at the click of a button. Our system offers lossless and reconfigurable control of the spatial distribution of light's amplitude and phase, with switching times in the microsecond domain. The showcased on-chip generation of spatially tailored light enables an even more diverse set of methods, applications, and devices that utilize structured light by providing a pathway towards combining the strengths of programmable integrated photonics and free-space structured light.

Published
2023
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16. Towards a Muon Collider

Author

Accettura, Carlotta, Adams, Dean, Agarwal, Rohit, Ahdida, Claudia, Aimè, Chiara, Amapane, Nicola, Amorim, David, Andreetto, Paolo, Anulli, Fabio, Appleby, Robert, Apresyan, Artur, Apyan, Aram, Arsenyev, Sergey, Asadi, Pouya, Mahmoud, Mohammed Attia, Azatov, Aleksandr, Back, John, Balconi, Lorenzo, Bandiera, Laura, Barlow, Roger, Bartosik, Nazar, Barzi, Emanuela, Batsch, Fabian, Bauce, Matteo, Berg, J. Scott, Bersani, Andrea, Bertarelli, Alessandro, Bertolin, Alessandro, Boattini, Fulvio, Bogacz, Alex, Bonesini, Maurizio, Bordini, Bernardo, Bottaro, Salvatore, Bottura, Luca, Braghieri, Alessandro, Breschi, Marco, Bruhwiler, Natalie, Buffat, Xavier, Buonincontri, Laura, Burrows, Philip, Burt, Graeme, Buttazzo, Dario, Caiffi, Barbara, Calviani, Marco, Calzaferri, Simone, Calzolari, Daniele, Capdevilla, Rodolfo, Carli, Christian, Casaburo, Fausto, Casarsa, Massimo, Castelli, Luca, Catanesi, Maria Gabriella, Cavoto, Gianluca, Celiberto, Francesco Giovanni, Celona, Luigi, Cerri, Alessandro, Cesarini, Gianmario, Cesarotti, Cari, Chachamis, Grigorios, Chance, Antoine, Chen, Siyu, Chien, Yang-Ting, Chiesa, Mauro, Colaleo, Anna, Collamati, Francesco, Collazuol, Gianmaria, Costa, Marco, Craig, Nathaniel, Curatolo, Camilla, Curtin, David, Da Molin, Giacomo, Dam, Magnus, Damerau, Heiko, Dasu, Sridhara, de Blas, Jorge, De Curtis, Stefania, De Matteis, Ernesto, De Rosa, Stefania, Delahaye, Jean-Pierre, Denisov, Dmitri, Denizli, Haluk, Densham, Christopher, Dermisek, Radovan, Di Luzio, Luca, Di Meco, Elisa, Di Micco, Biagio, Dienes, Keith, Diociaiuti, Eleonora, Dorigo, Tommaso, Dudarev, Alexey, Edgecock, Robert, Errico, Filippo, Fabbrichesi, Marco, Farinon, Stefania, Ferrari, Anna, Somoza, Jose Antonio Ferreira, Filthaut, Frank, Fiorina, Davide, Fol, Elena, Forslund, Matthew, Franceschini, Roberto, Ximenes, Rui Franqueira, Gabrielli, Emidio, Gallinaro, Michele, Garosi, Francesco, Giambastiani, Luca, Gianelle, Alessio, Gilardoni, Simone, Giove, Dario Augusto, Giraldin, Carlo, Glioti, Alfredo, Greco, Mario, Greljo, Admir, Groeber, Ramona, Grojean, Christophe, Grudiev, Alexej, Gu, Jiayin, Han, Chengcheng, Han, Tao, Hauptman, John, Henning, Brian, Hermanek, Keith, Herndon, Matthew, Holmes, Tova Ray, Homiller, Samuel, Huang, Guoyuan, Jana, Sudip, Jindariani, Sergo, Kahn, Yonatan, Karpov, Ivan, Kelliher, David, Kilian, Wolfgang, Kolehmainen, Antti, Kong, Kyoungchul, Koppenburg, Patrick, Kreher, Nils, Krintiras, Georgios, Krizka, Karol, Krnjaic, Gordan, Kumar, Nilanjana, Lechner, Anton, Lee, Lawrence, Li, Qiang, Voti, Roberto Li, Lipton, Ronald, Liu, Zhen, Lomte, Shivani, Long, Kenneth, Gomez, Jose Lorenzo, Losito, Roberto, Low, Ian, Lu, Qianshu, Lucchesi, Donatella, Ma, Lianliang, Ma, Yang, Machida, Shinji, Maltoni, Fabio, Mandurrino, Marco, Mansoulie, Bruno, Mantani, Luca, Marchand, Claude, Mariotto, Samuele, Martin-Haugh, Stewart, Marzocca, David, Mastrapasqua, Paola, Mauro, Giorgio, Mazzolari, Andrea, McGinnis, Navin, Meade, Patrick, Mele, Barbara, Meloni, Federico, Mentink, Matthias, Merlassino, Claudia, Metral, Elias, Miceli, Rebecca, Milas, Natalia, Mokhov, Nikolai, Montella, Alessandro, Mulder, Tim, Musenich, Riccardo, Nardecchia, Marco, Nardi, Federico, Neufeld, Niko, Neuffer, David, Onel, Yasar, Orestano, Domizia, Paesani, Daniele, Griso, Simone Pagan, Palmer, Mark, Panci, Paolo, Panico, Giuliano, Paparella, Rocco, Paradisi, Paride, Passeri, Antonio, Pastrone, Nadia, Pellecchia, Antonello, Piccinini, Fulvio, Portone, Alfredo, Potamianos, Karolos, Prioli, Marco, Quettier, Lionel, Radicioni, Emilio, Radogna, Raffaella, Rattazzi, Riccardo, Redigolo, Diego, Reina, Laura, Resseguie, Elodie, Reuter, Jürgen, Ribani, Pier Luigi, Riccardi, Cristina, Ricci, Lorenzo, Ricciardi, Stefania, Ristori, Luciano, Robens, Tania Natalie, Rodejohann, Werner, Rogers, Chris, Romagnoni, Marco, Ronald, Kevin, Rossi, Lucio, Ruiz, Richard, Queiroz, Farinaldo S., Sala, Filippo, Sala, Paola, Salko, Jakub, Salvini, Paola, Salvioni, Ennio, Santiago, Jose, Sarra, Ivano, Esteban, Francisco Javier Saura, Schieck, Jochen, Schulte, Daniel, Selvaggi, Michele, Senatore, Carmine, Senol, Abdulkadir, Sertore, Daniele, Sestini, Lorenzo, Sharma, Varun, Shiltsev, Vladimir, Shu, Jing, Simone, Federica Maria, Simoniello, Rosa, Skoufaris, Kyriacos, Sorbi, Massimo, Sorti, Stefano, Stamerra, Anna, Stapnes, Steinar, Stark, Giordon Holtsberg, Statera, Marco, Stechauner, Bernd, Stolarski, Daniel, Stratakis, Diktys, Su, Shufang, Su, Wei, Sumensari, Olcyr, Sun, Xiaohu, Sundrum, Raman, Swiatlowski, Maximilian J, Sytov, Alexei, Kuchma, Benjamin T., Tait, Tim M. P., Tang, Jian, Tang, Jingyu, Tesi, Andrea, Testoni, Pietro, Thomas, Brooks, Thompson, Emily Anne, Torre, Riccardo, Tortora, Ludovico, Tortora, Luca, Trifinopoulos, Sokratis, Vai, Ilaria, Valente, Riccardo, Valente, Riccardo Umberto, Valente, Marco, Valenti, Alessandro, Valle, Nicolò, van Rienen, Ursula, Venditti, Rosamaria, Verweij, Arjan, Verwilligen, Piet, Vittorio, Ludovico, Vitulo, Paolo, Wang, Liantao, Weber, Hannsjorg, Wozniak, Mariusz, Wu, Richard, Wu, Yongcheng, Wulzer, Andrea, Xie, Keping, Yamamoto, Akira, Yang, Yifeng, Yonehara, Katsuya, Zaza, Angela, Zhao, Xiaoran, Zlobin, Alexander, Zuliani, Davide, and Zurita, Jose

Subjects
Physics - Accelerator Physics, High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions at high luminosity and 10~TeV centre of mass energy are being investigated by the recently-formed International Muon Collider Collaboration. This Review summarises the status and the recent advances on muon colliders design, physics and detector studies. The aim is to provide a global perspective of the field and to outline directions for future work., Comment: 118 pages, 103 figures

Published
2023

17. Transcranial Alternating Current Stimulation (tACS) as a Treatment for Insomnia

Author

Motamedi, Gholam K, Jeliazkov, Peter G, Oyegbile-Chidi, Temitayo O, Song, Sunbin S, Sharma, Varun D, Mete, Mihriye, Nawar, Shara, Turkeltaub, Peter E, Cho, Yong Won, and Wu, Jian-young

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Research, Sleep Research, Prevention, Basic Behavioral and Social Science, Behavioral and Social Science, Humans, Sleep Initiation and Maintenance Disorders, Transcranial Direct Current Stimulation, Quality of Life, Polysomnography, Insomnia, Transcranial electrical stimulation, tACS, tDCS, insomnie, stimulation transcranienne electrique, stimulation transcrânienne électrique, Clinical Sciences, Neurosciences, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

We investigated the effects of transcranial alternating stimulation (tACS) in patients with insomnia. Nine patients with chronic insomnia underwent two in-laboratory polysomnography, 2 weeks apart, and were randomized to receive tACS either during the first or second study. The stimulation was applied simultaneously and bilaterally at F3/M1 and F4/M2 electrodes (0.75 mA, 0.75 Hz, 5-minute). Sleep onset latency and wake after sleep onset dropped on the stimulation night but they did not reach statistical significance; however, there were significant improvements in spontaneous and total arousals, sleep quality, quality of life, recall memory, sleep duration, sleep efficiency, and daytime sleepiness.

Published
2023

18. Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021

Author

Bose, Tulika, Boveia, Antonio, Doglioni, Caterina, Griso, Simone Pagan, Hirschauer, James, Lipeles, Elliot, Liu, Zhen, Shah, Nausheen R., Wang, Lian-Tao, Agashe, Kaustubh, Alimena, Juliette, Baum, Sebastian, Berkat, Mohamed, Black, Kevin, Gardner, Gwen, Gherghetta, Tony, Greaves, Josh, Haehn, Maxx, Harris, Phil C., Harris, Robert, Hogan, Julie, Jayawardana, Suneth, Kahn, Abraham, Kalinowski, Jan, Knapen, Simon, Lewis, Ian M., Narain, Meenakshi, Pachal, Katherine, Reece, Matthew, Reina, Laura, Robens, Tania, Tricoli, Alessandro, Wagner, Carlos E. M., Xu, Riley, Yu, Felix, Zarnecki, Filip, Aboubrahim, Amin, Albert, Andreas, Albrow, Michael, Altmannshofer, Wolfgang, Andonian, Gerard, Apresyan, Artur, Assamagan, Kétévi Adikle, Azzi, Patrizia, Baer, Howard, Baker, Michael J., Banerjee, Avik, Barger, Vernon, Batell, Brian, Bauer, Martin, Beauchesne, Hugues, Bein, Samuel, Belyaev, Alexander, Beniwal, Ankit, Berggren, Mikael, Bhattiprolu, Prudhvi N., Blinov, Nikita, Blondel, Alain, Brandt, Oleg, Cacciapaglia, Giacomo, Capdevilla, Rodolfo, Carena, Marcela, Cazzaniga, Cesare, Celiberto, Francesco Giovanni, Cesarotti, Cari, Chekanov, Sergei V., Cheng, Hsin-Chia, Chen, Thomas Y., Chen, Yuze, Chivukula, R. Sekhar, Citron, Matthew, Cline, James, Cohen, Tim, Collins, Jack H., Corrigan, Eric, Craig, Nathaniel, Craik, Daniel, Crivellin, Andreas, Curtin, David, Darmora, Smita, Das, Arindam, Dasu, Sridhara, de Cosa, Annapaola, Deandrea, Aldo, Delgado, Antonio, Demiragli, Zeynep, d'Enterria, David, Deppisch, Frank F., Dermisek, Radovan, Desai, Nishita, Deshpande, Abhay, de Vries, Jordy, Dickinson, Jennet, Dienes, Keith R., Di Petrillo, Karri Folan, Dolan, Matthew J., Dong, Peter, Draper, Patrick, Drewes, Marco, Dreyer, Etienne, Du, Peizhi, Eble, Florian, Ekhterachian, Majid, Endo, Motoi, Essig, Rouven, Farr, Jesse N., Fassi, Farida, Feng, Jonathan L., Ferretti, Gabriele, Filipetto, Daniele, Flacke, Thomas, Franceschini, Roberto, Franzosi, Diogo Buarque, Fujii, Keisuke, Fuks, Benjamin, Gadam, Sri Aditya, Gao, Boyu, Garcia-Bellido, Aran, Garcia, Isabel Garcia, Garzelli, Maria Vittoria, Gedney, Stephen, Genest, Marie-Hélène, Ghosh, Tathagata, Golkowski, Mark, di Cortona, Giovanni Grilli, Guler, Emine Gurpinar, Guler, Yalcin, Guo, C., Graf, Nate, Haisch, Ulrich, Hajer, Jan, Hamaguchi, Koichi, Han, Tao, Harris, Philip, Heinemeyer, Sven, Hill, Christopher S., Hiltbrand, Joshua, Holmes, Tova Ray, Homiller, Samuel, Hong, Sungwoo, Hopkins, Walter, Hsu, Shih-Chieh, Ilten, Phil, Islam, Wasikul, Iwamoto, Sho, Jeans, Daniel, Jeanty, Laura, Jia, Haoyi, Jindariani, Sergo, Johnson, Daniel, Kahlhoefer, Felix, Kahn, Yonatan, Karchin, Paul, Katsouleas, Thomas, Kawada, Shin-ichi, Kawamura, Junichiro, Kelso, Chris, Khoda, Elham E, Khoze, Valery, Kim, Doojin, Kitahara, Teppei, Klaric, Juraj, Klasen, Michael, Kong, Kyoungchul, Kotlarski, Wojciech, Kotwal, Ashutosh V., Kozaczuk, Jonathan, Kriske, Richard, Kulkarni, Suchita, Kumar, Jason, Kunkel, Manuel, Landsberg, Greg, Lane, Kenneth, Lange, Clemens, Lee, Lawrence, Liao, Jiajun, Lillard, Benjamin, Li, Lingfeng, Li, Shuailong, Li, Shu, List, Jenny, Li, Tong, Liu, Hongkai, Liu, Jia, Long, Jonathan D, Lunghi, Enrico, Lyu, Kun-Feng, Marfatia, Danny, Martinez, Dakotah, Martin, Stephen P., McGinnis, Navin, McGinty, Karrick, Mękała, Krzysztof, Meloni, Federico, Mikulenko, Oleksii, Huang, Ming, Mishra, Rashmish K., Mitra, Manimala, Mitsou, Vasiliki A., Moon, Chang-Seong, Moreno, Alexander, Moroi, Takeo, Mourou, Gerard, Mrowietz, Malte, Muggli, Patric, Nakajima, Jurina, Nath, Pran, Nelson, J., Neubert, Matthias, Nosler, Laura, de Vera, Maria Teresa Núñez Pardo, Okada, Nobuchika, Okada, Satomi, Okorokov, Vitalii A., Onel, Yasar, Ou, Tong, Ovchynnikov, Maksym, Padhan, Rojalin, Pani, Priscilla, Panizzi, Luca, Papaefstathiou, Andreas, Pedro, Kevin, Peña, Cristián, Piazza, Federica, Pinfold, James, Pinna, Deborah, Porod, Werner, Potter, Chris, Prim, Markus Tobias, Profumo, Stefano, Proudfoot, James, Rai, Mudit, Rajec, Filip, Ramos, Reese, Ramsey-Musolf, Michael J., Resta-Lopez, Javier, Reuter, Jürgen, Ringwald, Andreas, Rizzi, Chiara, Rizzo, Thomas G., Rossi, Giancarlo, Ruiz, Richard, Rygaard, L., Sahai, Aakash A., Salam, Shadman, Sandick, Pearl, Sathyan, Deepak, Scherb, Christiane, Schwaller, Pedro, Schwarze, Leonard, Scott, Pat, Sekmen, Sezen, Sengupta, Dibyashree, Sen, S., Sfyrla, Anna, Shackelford, Eric, Sharma, T., Sharma, Varun, Shelton, Jessie, Shepherd, William, Shin, Seodong, Simmons, Elizabeth H., Sloneker, Zoie, Sierra, Carlos Vázquez, Sjöstrand, Torbjörn, Snyder, Scott, Song, Huayang, Stark, Giordon, Stengel, Patrick, Stohr, Joachim, Stolarski, Daniel, Strassler, Matt, Strobbe, Nadja, Gonski, Julia, Suarez, Rebeca Gonzalez, Suehara, Taikan, Su, Shufang, Su, Wei, Syed, Raza M., Tait, Tim M. P., Tajima, Toshiki, Tang, Andy, Tata, Xerxes, Tchalokov, Teodor, Thamm, Andrea, Thomas, Brooks, Toro, Natalia, Tran, Nhan V., Truong, Loan, Tsai, Yu-Dai, Tuecke, Eva, Venkatasubramanian, Nikhilesh, Verhaaren, Chris B., Vuosalo, Carl, Wang, Xiao-Ping, Wang, Xing, Wang, Yikun, Wang, Zhen, Weber, Christian, White, Glen, White, Martin, Williams, Anthony G., Williams, Brady, Williams, Mike, Willocq, Stephane, Woodcock, Alex, Wu, Yongcheng, Xie, Ke-Pan, Xie, Keping, Xie, Si, Yeh, C. -H., Yonamine, Ryo, Yu, David, Yu, S. -S., Zaazoua, Mohamed, Żarnecki, Aleksander Filip, Zembaczynski, Kamil, Zhang, Danyi, Zhang, Jinlong, Zimmermann, Frank, and Zurita, Jose

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More general explorations), and EF10 (Dark Matter at Colliders). The report includes a general introduction to BSM motivations and the comparative prospects for proposed future experiments for a broad range of potential BSM models and signatures, including compositeness, SUSY, leptoquarks, more general new bosons and fermions, long-lived particles, dark matter, charged-lepton flavor violation, and anomaly detection., Comment: 108 pages + 38 pages references and appendix, 37 figures, Report of the Topical Group on Beyond the Standard Model Physics at Energy Frontier for Snowmass 2021. The first nine authors are the Conveners, with Contributions from the other authors

Published
2022

19. Literature on Hand GESTURE Recognition using Graph based methods

Author

Baranwal, Neha and Sharma, Varun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Skeleton based recognition systems are gaining popularity and machine learning models focusing on points or joints in a skeleton have proved to be computationally effective and application in many areas like Robotics. It is easy to track points and thereby preserving spatial and temporal information, which plays an important role in abstracting the required information, classification becomes an easy task. In this paper, we aim to study these points but using a cloud mechanism, where we define a cloud as collection of points. However, when we add temporal information, it may not be possible to retrieve the coordinates of a point in each frame and hence instead of focusing on a single point, we can use k-neighbors to retrieve the state of the point under discussion. Our focus is to gather such information using weight sharing but making sure that when we try to retrieve the information from neighbors, we do not carry noise with it. LSTM which has capability of long-term modelling and can carry both temporal and spatial information. In this article we tried to summarise graph based gesture recognition method.

Published
2022

24. Summarizing experimental sensitivities of collider experiments to dark matter models and comparison to other experiments

Author

Boveia, Antonio, Doglioni, Caterina, Gao, Boyu, Greaves, Josh, Harris, Philip, Pachal, Katherine, Dreyer, Etienne, Gustavino, Giuliano, Harris, Robert, Hayden, Daniel, Hrynova, Tetiana, Kotwal, Ashutosh, Little, Jared, Black, Kevin, Bose, Tulika, Chen, Yuze, Dasu, Sridhara, Jia, Haoyi, Pinna, Deborah, Sharma, Varun, Venkatasubramanian, Nikhilesh, and Vuosalo, Carl

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

Comparisons of the coverage of current and proposed dark matter searches can help us to understand the context in which a discovery of particle dark matter would be made. In some scenarios, a discovery could be reinforced by information from multiple, complementary types of experiments; in others, only one experiment would see a signal, giving only a partial, more ambiguous picture; in still others, no experiment would be sensitive and new approaches would be needed. In this whitepaper, we present an update to a similar study performed for the European Strategy Briefing Book performed within the dark matter at the Energy Frontier (EF10) Snowmass Topical Group We take as a starting point a set of projections for future collider facilities and a method of graphical comparisons routinely performed for LHC DM searches using simplified models recommended by the LHC Dark Matter Working Group and also used for the BSM and dark matter chapters of the European Strategy Briefing Book. These comparisons can also serve as launching point for cross-frontier discussions about dark matter complementarity., Comment: Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)

Published
2022

25. Prospects for Heavy WIMP Dark Matter Searches at Muon Colliders

Author

Black, Kevin, Bose, Tulika, Chen, Yuze, Dasu, Sridhara, Jia, Haoyi, Pinna, Deborah, Sharma, Varun, Venkatasubramanian, Nikhilesh, and Vuosalo, Carl

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

Plots summarizing the constraints on Dark Matter models can help visualize synergies between different searches for the same kind of experiment, as well as between different experiments. In this whitepaper, we present an update to the European Strategy Briefing Book plots, from the perspective of collider searches within the Dark Matter at the Energy Frontier (EF10) Snowmass Topical Group, starting from inputs from future collider facilities. We take as a starting point the plots currently made for LHC searches using benchmark models recommended by the Dark Matter Working Group, also used for the BSM and Dark Matter chapters of the European Strategy Briefing Book. These plots can also serve as a starting point for cross-frontier discussions about dark matter complementarity, and could be updated as a consequence of these discussions. This is a whitepaper submitted to the APS Snowmass process for the EF10 topical group., Comment: contribution to Snowmass 2021

Published
2022

26. Erratum: Towards a muon collider

Author

Accettura, Carlotta, Adams, Dean, Agarwal, Rohit, Ahdida, Claudia, Aimè, Chiara, Amapane, Nicola, Amorim, David, Andreetto, Paolo, Anulli, Fabio, Appleby, Robert, Apresyan, Artur, Apyan, Aram, Arsenyev, Sergey, Asadi, Pouya, Mahmoud, Mohammed Attia, Azatov, Aleksandr, Back, John, Balconi, Lorenzo, Bandiera, Laura, Barlow, Roger, Bartosik, Nazar, Barzi, Emanuela, Batsch, Fabian, Bauce, Matteo, Berg, J. Scott, Bersani, Andrea, Bertarelli, Alessandro, Bertolin, Alessandro, Black, Kevin, Boattini, Fulvio, Bogacz, Alex, Bonesini, Maurizio, Bordini, Bernardo, Bottaro, Salvatore, Bottura, Luca, Braghieri, Alessandro, Breschi, Marco, Bruhwiler, Natalie, Buffat, Xavier, Buonincontri, Laura, Burrows, Philip N., Burt, Graeme, Buttazzo, Dario, Caiffi, Barbara, Calviani, Marco, Calzaferri, Simone, Calzolari, Daniele, Capdevilla, Rodolfo, Carli, Christian, Casaburo, Fausto, Casarsa, Massimo, Castelli, Luca, Catanesi, Maria Gabriella, Cavallucci, Lorenzo, Cavoto, Gianluca, Celiberto, Francesco Giovanni, Celona, Luigi, Cerri, Alessandro, Cesarini, Gianmario, Cesarotti, Cari, Chachamis, Grigorios, Chance, Antoine, Chen, Siyu, Chien, Yang-Ting, Chiesa, Mauro, Colaleo, Anna, Collamati, Francesco, Collazuol, Gianmaria, Costa, Marco, Craig, Nathaniel, Curatolo, Camilla, Curtin, David, Da Molin, Giacomo, Dam, Magnus, Damerau, Heiko, Dasu, Sridhara, de Blas, Jorge, De Curtis, Stefania, De Matteis, Ernesto, De Rosa, Stefania, Delahaye, Jean-Pierre, Denisov, Dmitri, Denizli, Haluk, Densham, Christopher, Dermisek, Radovan, Di Luzio, Luca, Di Meco, Elisa, Di Micco, Biagio, Dienes, Keith, Diociaiuti, Eleonora, Dorigo, Tommaso, Dudarev, Alexey, Edgecock, Robert, Errico, Filippo, Fabbrichesi, Marco, Farinon, Stefania, Ferrari, Anna, Somoza, Jose Antonio Ferreira, Filthaut, Frank, Fiorina, Davide, Fol, Elena, Forslund, Matthew, Franceschini, Roberto, Ximenes, Rui Franqueira, Gabrielli, Emidio, Gallinaro, Michele, Garosi, Francesco, Giambastiani, Luca, Gianelle, Alessio, Gilardoni, Simone, Giove, Dario Augusto, Giraldin, Carlo, Glioti, Alfredo, Greco, Mario, Greljo, Admir, Groeber, Ramona, Grojean, Christophe, Grudiev, Alexej, Gu, Jiayin, Han, Chengcheng, Han, Tao, Hauptman, John, Henning, Brian, Hermanek, Keith, Herndon, Matthew, Holmes, Tova Ray, Homiller, Samuel, Huang, Guoyuan, Jana, Sudip, Jindariani, Sergo, Jurj, Paul Bogdan, Kahn, Yonatan, Karpov, Ivan, Kelliher, David, Kilian, Wolfgang, Kolehmainen, Antti, Kong, Kyoungchul, Koppenburg, Patrick, Kreher, Nils, Krintiras, Georgios, Krizka, Karol, Krnjaic, Gordan, Kuchma, Benjamin T., Kumar, Nilanjana, Lechner, Anton, Lee, Lawrence, Li, Qiang, Voti, Roberto Li, Lipton, Ronald, Liu, Zhen, Lomte, Shivani, Long, Kenneth, Gomez, Jose Lorenzo, Losito, Roberto, Low, Ian, Lu, Qianshu, Lucchesi, Donatella, Ma, Lianliang, Ma, Yang, Machida, Shinji, Maltoni, Fabio, Mandurrino, Marco, Mansoulie, Bruno, Mantani, Luca, Marchand, Claude, Mariotto, Samuele, Martin-Haugh, Stewart, Marzocca, David, Mastrapasqua, Paola, Mauro, Giorgio, Mazzolari, Andrea, McGinnis, Navin, Meade, Patrick, Mele, Barbara, Meloni, Federico, Mentink, Matthias, Merlassino, Claudia, Metral, Elias, Miceli, Rebecca, Milas, Natalia, Mokhov, Nikolai, Montella, Alessandro, Mulder, Tim, Musenich, Riccardo, Nardecchia, Marco, Nardi, Federico, Neufeld, Niko, Neuffer, David, Novelli, Daniel, Onel, Yasar, Orestano, Domizia, Paesani, Daniele, Griso, Simone Pagan, Palmer, Mark, Panci, Paolo, Panico, Giuliano, Paparella, Rocco, Paradisi, Paride, Passeri, Antonio, Pastrone, Nadia, Pellecchia, Antonello, Piccinini, Fulvio, Portone, Alfredo, Potamianos, Karolos, Prioli, Marco, Quettier, Lionel, Radicioni, Emilio, Radogna, Raffaella, Rattazzi, Riccardo, Redigolo, Diego, Reina, Laura, Resseguie, Elodie, Reuter, Jürgen, Ribani, Pier Luigi, Riccardi, Cristina, Ricci, Lorenzo, Ricciardi, Stefania, Ristori, Luciano, Robens, Tania Natalie, Rodejohann, Werner, Rogers, Chris, Romagnoni, Marco, Ronald, Kevin, Rossi, Lucio, Ruiz, Richard, Queiroz, Farinaldo S., Sala, Filippo, Salko, Jakub, Salvini, Paola, Salvioni, Ennio, Santiago, Jose, Sarra, Ivano, Esteban, Francisco Javier Saura, Schieck, Jochen, Schulte, Daniel, Selvaggi, Michele, Senatore, Carmine, Senol, Abdulkadir, Sertore, Daniele, Sestini, Lorenzo, Sharma, Varun, Shiltsev, Vladimir, Shu, Jing, Simone, Federica Maria, Simoniello, Rosa, Skoufaris, Kyriacos, Sorbi, Massimo, Sorti, Stefano, Stamerra, Anna, Stapnes, Steinar, Stark, Giordon Holtsberg, Statera, Marco, Stechauner, Bernd, Stolarski, Daniel, Stratakis, Diktys, Su, Shufang, Su, Wei, Sumensari, Olcyr, Sun, Xiaohu, Sundrum, Raman, Swiatlowski, Maximilian J., Sytov, Alexei, Tait, Tim M. P., Tang, Jingyu, Tang, Jian, Tesi, Andrea, Testoni, Pietro, Thomas, Brooks, Thompson, Emily Anne, Torre, Riccardo, Tortora, Ludovico, Tortora, Luca, Trifinopoulos, Sokratis, Vai, Ilaria, Valente, Marco, Valente, Riccardo Umberto, Valenti, Alessandro, Valle, Nicolò, Rienen, Ursula van, Venditti, Rosamaria, Verweij, Arjan, Verwilligen, Piet, Vittorio, Ludovico, Vitulo, Paolo, Wang, Liantao, Weber, Hannsjorg, Wozniak, Mariusz, Wu, Richard, Wu, Yongcheng, Wulzer, Andrea, Xie, Keping, Yamamoto, Akira, Yang, Yifeng, Yonehara, Katsuya, Yoon, Sangsik, Zaza, Angela, Zhao, Xiaoran, Zlobin, Alexander, Zuliani, Davide, and Zurita, Jose

Published
2024
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27. The physics case of a 3 TeV muon collider stage

Author

De Blas, Jorge, Buttazzo, Dario, Capdevilla, Rodolfo, Curtin, David, Franceschini, Roberto, Maltoni, Fabio, Meade, Patrick, Meloni, Federico, Su, Shufang, Vryonidou, Eleni, Wulzer, Andrea, Aimè, Chiara, Apyan, Aram, Asadi, Pouya, Mahmoud, Mohammed Attia, Azatov, Aleksandr, Bartosik, Nazar, Bertolin, Alessandro, Bottaro, Salvatore, Buonincontri, Laura, Casarsa, Massimo, Castelli, Luca, Catanesi, Maria Gabriella, Celiberto, Francesco Giovanni, Cerri, Alessandro, Cesarotti, Cari, Chachamis, Grigorios, Chen, Siyu, Chien, Yang-Ting, Chiesa, Mauro, Costa, Marco, Da Molin, Giacomo, Dasu, Sridhara, Denisov, Dmitri, Denizli, Haluk, Dermisek, Radovan, Di Luzio, Luca, Di Micco, Biagio, Dienes, Keith, Dorigo, Tommaso, Fabbrichesi, Marco, Fiorina, Davide, Forslund, Matthew, Gabrielli, Emidio, Garosi, Francesco, Glioti, Alfredo, Greco, Mario, Greljo, Admir, Groeber, Ramona, Grojean, Christophe, Gu, Jiayin, Han, Chengcheng, Han, Tao, Hermanek, Keith, Herndon, Matthew, Holmes, Tova Ray, Homiller, Samuel, Huang, Guoyuan, Jana, Sudip, Jindariani, Sergo, Kahn, Yonatan, Kilian, Wolfgang, Koppenburg, Patrick, Kreher, Nils, Krizka, Karol, Krnjaic, Gordan, Kumar, Nilanjana, Lee, Lawrence, Li, Qiang, Liu, Zhen, Long, Kenneth, Low, Ian, Lu, Qianshu, Lucchesi, Donatella, Ma, Lianliang, Ma, Yang, Mantani, Luca, Marzocca, David, McGinnis, Navin, Mele, Barbara, Merlassino, Claudia, Montella, Alessandro, Nardecchia, Marco, Nardi, Federico, Panci, Paolo, Griso, Simone Pagan, Panico, Giuliano, Paradisi, Paride, Pastrone, Nadia, Piccinini, Fulvio, Potamianos, Karolos, Radicioni, Emilio, Rattazzi, Riccardo, Redigolo, Diego, Reina, Laura, Reuter, Jürgen, Riccardi, Cristina, Ricci, Lorenzo, Ristori, Luciano, Robens, Tania Natalie, Rodejohann, Werner, Ruiz, Richard, Queiroz, Farinaldo S., Sala, Filippo, Salko, Jakub, Salvini, Paola, Santiago, Jose, Sarra, Ivano, Schulte, Daniel, Selvaggi, Michele, Senol, Abdulkadir, Sestini, Lorenzo, Sharma, Varun, Simoniello, Rosa, Stark, Giordon Holtsberg, Stolarski, Daniel, Su, Wei, Sumensari, Olcyr, Sun, Xiaohu, Tait, Tim M. P., Tang, Jian, Tesi, Andrea, Thomas, Brooks, Thompson, Emily Anne, Torre, Riccardo, Trifinopoulos, Sokratis, Vai, Ilaria, Valenti, Alessandro, Vittorio, Ludovico, Wang, Liantao, Wu, Yongcheng, Xie, Keping, Zhao, Xiaoran, and Zurita, Jose

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

In the path towards a muon collider with center of mass energy of 10 TeV or more, a stage at 3 TeV emerges as an appealing option. Reviewing the physics potential of such muon collider is the main purpose of this document. In order to outline the progression of the physics performances across the stages, a few sensitivity projections for higher energy are also presented. There are many opportunities for probing new physics at a 3 TeV muon collider. Some of them are in common with the extensively documented physics case of the CLIC 3 TeV energy stage, and include measuring the Higgs trilinear coupling and testing the possible composite nature of the Higgs boson and of the top quark at the 20 TeV scale. Other opportunities are unique of a 3 TeV muon collider, and stem from the fact that muons are collided rather than electrons. This is exemplified by studying the potential to explore the microscopic origin of the current $g$-2 and $B$-physics anomalies, which are both related with muons., Comment: 73 pages, 28 figures; Contribution to Snowmass 2021

Published
2022

28. Muon Collider Physics Summary

Author

Aimè, Chiara, Apyan, Aram, Mahmoud, Mohammed Attia, Bartosik, Nazar, Bertolin, Alessandro, Bonesini, Maurizio, Bottaro, Salvatore, Buttazzo, Dario, Capdevilla, Rodolfo, Casarsa, Massimo, Castelli, Luca, Catanesi, Maria Gabriella, Celiberto, Francesco Giovanni, Cerri, Alessandro, Cesarotti, Cari, Chachamis, Grigorios, Chen, Siyu, Chien, Yang-Ting, Chiesa, Mauro, Collazuol, Gianmaria, Costa, Marco, Craig, Nathaniel, Curtin, David, Dasu, Sridhara, De Blas, Jorge, Denisov, Dmitri, Denizli, Haluk, Dermisek, Radovan, Di Luzio, Luca, Di Micco, Biagio, Dienes, Keith, Dorigo, Tommaso, Ferrari, Anna, Fiorina, Davide, Franceschini, Roberto, Garosi, Francesco, Glioti, Alfredo, Greco, Mario, Greljo, Admir, Groeber, Ramona, Grojean, Christophe, Gu, Jiayin, Han, Tao, Henning, Brian, Hermanek, Keith, Holmes, Tova Ray, Homiller, Samuel, Jana, Sudip, Jindariani, Sergo, Kahn, Yonatan, Karpov, Ivan, Kilian, Wolfgang, Kong, Kyoungchul, Koppenburg, Patrick, Krizka, Karol, Lee, Lawrence, Li, Qiang, Lipton, Ronald, Liu, Zhen, Long, Kenneth, Low, Ian, Lucchesi, Donatella, Ma, Yang, Ma, Lianliang, Maltoni, Fabio, Mansoulie, Bruno, Mantani, Luca, Marzocca, David, McGinnis, Navin, Mele, Barbara, Meloni, Federico, Merlassino, Claudia, Montella, Alessandro, Nardecchia, Marco, Nardi, Federico, Panci, Paolo, Griso, Simone Pagan, Panico, Giuliano, Paparella, Rocco, Paradisi, Paride, Pastrone, Nadia, Piccinini, Fulvio, Potamianos, Karolos, Radicioni, Emilio, Rattazzi, Riccardo, Redigolo, Diego, Reina, Laura, Reuter, Jürgen, Riccardi, Cristina, Ricci, Lorenzo, van Rienen, Ursula, Ristori, Luciano, Robens, Tania Natalie, Ruiz, Richard, Sala, Filippo, Salko, Jakub, Salvini, Paola, Salvioni, Ennio, Schulte, Daniel, Selvaggi, Michele, Senol, Abdulkadir, Sestini, Lorenzo, Sharma, Varun, Shu, Jing, Simoniello, Rosa, Stark, Giordon Holtsberg, Stolarski, Daniel, Su, Shufang, Su, Wei, Sumensari, Olcyr, Sun, Xiaohu, Sundrum, Raman, Tang, Jian, Tesi, Andrea, Thomas, Brooks, Torre, Riccardo, Trifinopoulos, Sokratis, Vai, Ilaria, Valenti, Alessandro, Vittorio, Ludovico, Wang, Liantao, Wu, Yongcheng, Wulzer, Andrea, Zhao, Xiaoran, and Zurita, Jose

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

The perspective of designing muon colliders with high energy and luminosity, which is being investigated by the International Muon Collider Collaboration, has triggered a growing interest in their physics reach. We present a concise summary of the muon colliders potential to explore new physics, leveraging on the unique possibility of combining high available energy with very precise measurements., Comment: 21 pages, 7 figures; Contribution to Snowmass 2021

Published
2022

29. PCfun: a hybrid computational framework for systematic characterization of protein complex function

Author

Sharma, Varun S, Fossati, Andrea, Ciuffa, Rodolfo, Buljan, Marija, Williams, Evan G, Chen, Zhen, Shao, Wenguang, Pedrioli, Patrick GA, Purcell, Anthony W, Martínez, María Rodríguez, Song, Jiangning, Manica, Matteo, Aebersold, Ruedi, and Li, Chen

Subjects
Biotechnology, Networking and Information Technology R&D (NITRD), 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, Computational Biology, Databases, Protein, Gene Ontology, Humans, Natural Language Processing, Proteins, protein complex function, machine learning, gene ontology, natural language processing, Biochemistry and Cell Biology, Computation Theory and Mathematics, Other Information and Computing Sciences, Bioinformatics
Abstract

In molecular biology, it is a general assumption that the ensemble of expressed molecules, their activities and interactions determine biological function, cellular states and phenotypes. Stable protein complexes-or macromolecular machines-are, in turn, the key functional entities mediating and modulating most biological processes. Although identifying protein complexes and their subunit composition can now be done inexpensively and at scale, determining their function remains challenging and labor intensive. This study describes Protein Complex Function predictor (PCfun), the first computational framework for the systematic annotation of protein complex functions using Gene Ontology (GO) terms. PCfun is built upon a word embedding using natural language processing techniques based on 1 million open access PubMed Central articles. Specifically, PCfun leverages two approaches for accurately identifying protein complex function, including: (i) an unsupervised approach that obtains the nearest neighbor (NN) GO term word vectors for a protein complex query vector and (ii) a supervised approach using Random Forest (RF) models trained specifically for recovering the GO terms of protein complex queries described in the CORUM protein complex database. PCfun consolidates both approaches by performing a hypergeometric statistical test to enrich the top NN GO terms within the child terms of the GO terms predicted by the RF models. The documentation and implementation of the PCfun package are available at https://github.com/sharmavaruns/PCfun. We anticipate that PCfun will serve as a useful tool and novel paradigm for the large-scale characterization of protein complex function.

Published
2022

31. Imaging inspired characterization of single photons carrying orbital angular momentum

Author

Kumar, Vimlesh, Sharma, Varun, Singh, Sandeep, Kumar, S. Chaitanya, Forbes, Andrew, Ebrahim-Zadeh, M., and Samanta, G. K.

Subjects
Quantum Physics, Physics - Optics
Abstract

We report on an imaging-inspired measurement of orbital angular momentum (OAM) using only a simple tilted lens and an Intensified Charged Coupled Device (ICCD) camera, allowing us to monitor the propagation of OAM structured photons over distance, crucial for free-space quantum communication networks. We demonstrate measurement of OAM orders as high as 14 in a heralded single-photon source (HSPS) and show, for the first time, the imaged self-interference of photons carrying OAM in a modified Mach-Zehnder Interferometer (MZI). The described methods reveal both the charge and order of a photons OAM, and provide a proof of concept for the interference of a single OAM photon with itself. Using these tools, we are able to study the propagation characteristics of OAM photons over distance, important for estimating transport in free-space quantum links. By translating these classical tools into the quantum domain, we offer a robust and direct approach for the complete characterization of a twisted single-photon source, an important building block of a quantum network.

Published
2021
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33. A PGAS Communication Library for Heterogeneous Clusters

Author

Sharma, Varun and Chow, Paul

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Hardware Architecture
Abstract

This work presents a heterogeneous communication library for clusters of processors and FPGAs. This library, Shoal, supports the Partitioned Global Address Space (PGAS) memory model for applications. PGAS is a shared memory model for clusters that creates a distinction between local and remote memory access. Through Shoal and its common application programming interface for hardware and software, applications can be more freely migrated to the optimal platform and deployed onto dynamic cluster topologies. The library is tested using a thorough suite of microbenchmarks to establish latency and throughput performance. We also show an implementation of the Jacobi iterative method that demonstrates the ease with which applications can be moved between platforms to yield faster run times. Through this work, we have demonstrated the feasibility of using a PGAS programming model for multi-node heterogeneous platforms.

Published
2021

34. Finite Element Analysis of Squeezed Film Damping on Trapezoidal Microcantilever Resonators at Different Pressure Levels

Author

Sharma, Varun P., Shukla, Rahul, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Pandey, Ashok Kumar, editor, Pal, Prem, editor, Nagahanumaiah, editor, and Zentner, Lena, editor

Published
2023
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40. Fast Intent Classification for Spoken Language Understanding

Author

Tyagi, Akshit, Sharma, Varun, Gupta, Rahul, Samson, Lynn, Zhuang, Nan, Wang, Zihang, and Campbell, Bill

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Spoken Language Understanding (SLU) systems consist of several machine learning components operating together (e.g. intent classification, named entity recognition and resolution). Deep learning models have obtained state of the art results on several of these tasks, largely attributed to their better modeling capacity. However, an increase in modeling capacity comes with added costs of higher latency and energy usage, particularly when operating on low complexity devices. To address the latency and computational complexity issues, we explore a BranchyNet scheme on an intent classification scheme within SLU systems. The BranchyNet scheme when applied to a high complexity model, adds exit points at various stages in the model allowing early decision making for a set of queries to the SLU model. We conduct experiments on the Facebook Semantic Parsing dataset with two candidate model architectures for intent classification. Our experiments show that the BranchyNet scheme provides gains in terms of computational complexity without compromising model accuracy. We also conduct analytical studies regarding the improvements in the computational cost, distribution of utterances that egress from various exit points and the impact of adding more complexity to models with the BranchyNet scheme., Comment: Accepted as a conference paper at ICASSP 20

Published
2019

41. Recurrent dynamics of rupture transitions of giant lipid vesicles at solid surfaces

Author

Ngassam, Viviane N, Su, Wan-Chih, Gettel, Douglas L, Deng, Yawen, Yang, Zexu, Wang-Tomic, Neven, Sharma, Varun P, Purushothaman, Sowmya, and Parikh, Atul N

Subjects
Biochemistry and Cell Biology, Physical Sciences, Biological Sciences, Biophysical Phenomena, Hydrophobic and Hydrophilic Interactions, Lipid Bilayers, Lipids, Unilamellar Liposomes, Chemical Sciences, Biophysics, Biological sciences, Chemical sciences, Physical sciences
Abstract

Single giant unilamellar vesicles (GUVs) rupture spontaneously from their salt-laden suspension onto solid surfaces. At hydrophobic surfaces, the GUVs rupture via a recurrent, bouncing ball rhythm. During each contact, the GUVs, rendered tense by the substrate interactions, porate, and spread a molecularly transformed motif of a monomolecular layer on the hydrophobic surface from the point of contact in a symmetric manner. The competition from pore closure, however, limits the spreading and produces a daughter vesicle, which re-engages with the substrate. At solid hydrophilic surfaces, by contrast, GUVs rupture via a distinctly different recurrent burst-heal dynamics; during burst, single pores nucleate at the contact boundary of the adhering vesicles, facilitating asymmetric spreading and producing a "heart"-shaped membrane patch. During the healing phase, the competing pore closure produces a daughter vesicle. In both cases, the pattern of burst-reseal events repeats multiple times, splashing and spreading the vesicular fragments as bilayer patches at the solid surface in a pulsatory manner. These remarkable recurrent dynamics arise, not because of the elastic properties of the solid surface, but because the competition between membrane spreading and pore healing, prompted by the surface-energy-dependent adhesion, determine the course of the topological transition.

Published
2021

49. High-power, continuous-wave, tunable mid-IR, higher-order vortex beam optical parametric oscillator

Author

Aadhi, A., Sharma, Varun, and Samanta, G. K.

Subjects
Physics - Optics
Abstract

We report on a novel experimental scheme to generate continuous-wave (cw), high power, and higher-order optical vortices tunable across mid-IR wavelength range. Using cw, two-crystal, singly resonant optical parametric oscillator (T-SRO) and pumping one of the crystals with Gaussian beam and the other crystal with optical vortices of orders, lp = 1 to 6, we have directly transferred the vortices at near-IR to the mid-IR wavelength range. The idler vortices of orders, li = 1 to 6, are tunable across 2276-3576 nm with a maximum output power of 6.8 W at order of, li = 1, for the pump power of 25 W corresponding to a near-IR vortex to mid-IR vortex conversion efficiency as high as 27.2%. Unlike the SROs generating optical vortices restricted to lower orders due to the elevated operation threshold with pump vortex orders, here, the coherent energy coupling between the resonant signals of the crystals of T-SRO facilitates the transfer of pump vortex of any order to the idler wavelength without stringent operation threshold condition. The generic experimental scheme can be used in any wavelength range across the electromagnetic spectrum and in all time scales from cw to ultrafast regime., Comment: 4 pages, 5 figures

Published
2018
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