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10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018

作者： Viju Nair, R. Chattopadhyay, Ritwik Parashar, Sanket Bhattacharya, Subhashish Gopakumar, K. Department of Electrical and Computer Engineering North Carolina State University FREEDM Systems Center RaleighNC United States Indian Institute of Science Electronic Systems Engineering Bangalore India

ISBN: (纸本)9781479973118

This paper proposes a novel multilevel architecture using active neutral point clamped inverter cascaded with a flying capacitor inverter to form a multilevel inverter topology with higher number of voltage levels for induction motor drives. All the capacitors in the topology can be balanced irrespective of any modulation index or power factor. This topology can be generalized for higher number of voltage levels. The front end DC sources required are of very low value and it can be further halved when using a reconfigured six phase induction machine for higher power. The low value DC sources can be stacked battery cells, hence the topology can find extensive applications in electric vehicles. Detailed experimental results are shown for the steady state and transient operations of the inverter. The proposed topology will be a viable scheme for high power applications. © 2018 IEEE.

关键词： Topology

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Energy efficiency in qos constrained 60 ghz millimeter-wave ultra-dense networks 1

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14th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, Qshine 2018

作者： Nguyen, Huy Thanh Murakami, Homare Nguyen, Kien Ishizu, Kentaro Kojima, Fumihide Kim, Jong-Deok Chung, Sang-Hwa Hwang, Won-Joo Department of Information and Communication System Inje University GimhaeGyeongnam621-749 Korea Republic of Wireless Systems Laboratory Wireless Networks Research Center National Institute of Information and Communications Technology Yokosuka239-0847 Japan School of Electrical and Computer Engineering Pusan National University Busan46241 Korea Republic of

ISBN: (数字)9783030144135

ISBN: (纸本)9783030144128

Millimeter-Wave (mmWave) communication in ultra-dense networks (UDNs) has been considered as a promising technology for future wireless communication systems. Exploiting the benefits of mmWave and UDNs, we introduce a new approach for jointly optimizing small-cell base station (SBS)-user (UE) association and power allocation to maximize the system energy efficiency (EE) while guaranteeing the quality of service (QoS) constraints for each UE. The SBS-UE association problem poses a new challenge since it reflects as a complex mixed-integer non-convex problem. On the other hand, the power allocation problem is in non-convexity structure, which is impossible to handle with the association problem concurrently. An alternating descent method is thus introduced to divide the primal optimization problem into two sub-problems and handle one-by-one at each iteration, where the SBS-UE association problem is reformulated using the penalty approach. Then, path-following algorithms are developed to convert non-convex problem into the simple convex quadratic functions at each iteration. Numerical results are provided to demonstrate the convergence and low-complexity of our proposed schemes. © ICST institute for computer Sciences, Social Informatics and Telecommunications engineering 2019.

关键词： Convex optimization

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The science case and challenges of spaceborne sub-millimeter interferometry: the study case of TeraHertz Exploration and Zooming-in for Astrophysics (THEZA)

The science case and challenges of spaceborne sub-millimeter...

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IAF Symposium on Ongoing and Near Future Space Astronomy and Solar-System Science Missions 2021 at the 72nd International Astronautical Congress, IAC 2021

作者： Gurvits, Leonid I. Paragi, Zsolt Amils, Ricardo I. van Bemmel, Ilse Boven, Paul Casasola, Viviana Conway, John Davelaar, Jordy Díez-González, M. Carmen Falcke, Heino Fender, Rob Frey, Sándor Fromm, Christian M. Gallego-Puyol, Juan D. García-Miró, Cristina Garrett, Michael A. Giroletti, Marcello Goddi, Ciriaco Gómez, José L. van der Gucht, Jeffrey Guirado, José Carlos Haiman, Zoltán Helmich, Frank Hudson, Ben Humphreys, Elizabeth Impellizzeri, Violette Janssen, Michael Johnson, Michael D. Kovalev, Yuri Y. Kramer, Michael Lindqvist, Michael Linz, Hendrik Liuzzo, Elisabetta Lobanov, Andrei P. López-Fernández, Isaac Malo-Gómez, Inmaculada Masania, Kunal Mizuno, Yosuke Plavin, Alexander V. Rajan, Raj T. Rezzolla, Luciano Roelofs, Freek Ros, Eduardo Rygl, Kazi L.J. Savolainen, Tuomas Schuster, Karl Venturi, Tiziana Verkouter, Harro de Vicente, Pablo Visser, Pieter N.A.M. Wiedner, Martina C. Wielgus, Maciek Wiik, Kaj Zensus, J. Anton Joint Institute for VLBI ERIC Dwingeloo Netherlands Department of Astrodynamics and Space Missions Delft University of Technology Delft Netherlands Yebes Observatory IGN Spain INAF Institute of Radio Astronomy Bologna Italy Department of Space Earth and Environment Chalmers University of Technology Onsala Space Observatory Onsala Sweden Department of Astronomy and Astrophysics Laboratory Columbia University New YorkNY10027 United States Center for Computational Astrophysics Flatiron Institute 162 Fifth Avenue New YorkNY10010 United States Radboud University Nijmegen Netherlands Oxford University United Kingdom Konkoly Observatory Res. Centre for Astronomy and Earth Sciences Budapest Hungary Institute of Physics ELTE Eötvös Loránd University Budapest Hungary Goethe-Universität Frankfurt Germany Jodrell Bank Centre for Astrophysics The University of Manchester United Kingdom Leiden Observatory Leiden University Netherlands Instituto de Astrofísica de Andalucía – CSIC Granada Spain Observatorio Astronómico University of Valencia Spain SRON Netherlands Institute for Space Research Netherlands Kapteyn Institute University of Groningen Netherlands KISPE Space Systems Limited United Kingdom ESO Garching Germany Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Center for Astrophysics Harvard & Smithsonian CambridgeMA02138 United States Black Hole Initiative Harvard University CambridgeMA02138 United States Astro Space Center Lebedev Physical Institute Moscow Russia Moscow Institute of Physics and Technology Dolgoprudnyi Russia Max Planck Institute for Astronomy Heidelberg Germany Shaping Matter Lab Faculty of Aerospace Engineering TU Delft Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Aalto University Department of Electronics and Nanoengineering Finland Aalto University Metsähovi Radio Observatory Finland IRAM Grenoble France Observ

ISBN: (纸本)9781713843009

Ultra-high angular resolution in astronomy has always been an important vehicle for making fundamental discoveries. Recent results in direct imaging of the vicinity of the super-massive black hole in the nucleus of the radio galaxy M87 by the millimeter VLBI system Event Horizon Telescope (EHT) and various pioneering results of the Space VLBI mission RadioAstron provided new momentum in high angular resolution astrophysics. In both mentioned cases, the angular resolution reached the values of about 10−20 microrcseconds (0.05−0.1 nanoradian). Angular resolution is proportional to the observing wavelength and inversely proportional to the interferometer baseline length. In the case of Earth-based EHT, the highest angular resolution was achieved by combining the shortest possible wavelength of 1.3 mm with the longest possible baselines, comparable to the Earth’s diameter. For RadioAstron, operational wavelengths were in the range from 92 cm down to 1.3 cm, but the baselines were as long as ∼350,000 km. However, these two highlights of radio astronomy, EHT and RadioAstron do not"saturate" the interest to further increase in angular resolution. Quite opposite: the science case for further increase in angular resolution of astrophysical studies becomes even stronger. A natural and, in fact, the only possible way of moving forward is to enhance mm/sub-mm VLBI by extending baselines to extraterrestrial dimensions, i.e. creating a mm/sub-mm Space VLBI system. The inevitable move toward space-borne mm/sub-mm VLBI is a subject of several concept studies. In this presentation we will focus on one of them called TeraHertz Exploration and Zooming-in for Astrophysics (THEZA), prepared in response to the ESA’s call for its next major science program Voyage 2050 (Gurvits et al. 2021). The THEZA rationale is focused at the physics of spacetime in the vicinity of super-massive black holes as the leading science drive. However, it will also open up a sizable new range of hitherto unrea

关键词： Astrophysics

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Measuring success for a future vision: Defining impact in science gateways/virtual research environments

Measuring success for a future vision: Defining impact in sc...

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作者： Calyam, Prasad Wilkins-Diehr, Nancy Miller, Mark Brookes, Emre H. Arora, Ritu Chourasia, Amit Jennewein, Douglas M. Nandigam, Viswanath Drew LaMar, M. Cleveland, Sean B. Newman, Greg Wang, Shaowen Zaslavsky, Ilya Cianfrocco, Michael A. Ellett, Kevin Tarboton, David Jeffery, Keith G. Zhao, Zhiming González-Aranda, Juan Perri, Mark J. Tucker, Greg Candela, Leonardo Kiss, Tamas Gesing, Sandra Department of Electrical Engineering and Computer Science University of Missouri ColumbiaMO United States San Diego Supercomputer Center University of California San DiegoCA United States Department of Biochemistry University of Texas Health Science Center HoustonTX United States Texas Advanced Computing Center University of Texas at Austin AustinTX United States Information Technology Services University of South Dakota VermillionSD United States Biology Department College of William and Mary WilliamsburgVA United States Information Technology Services–Cyberinfrastructure University of Hawaii HonoluluHI United States Natural Resource Ecology Laboratory Colorado State University Fort CollinsCO United States Department of Geography and Geographic Information Science University of Illinois UrbanaIL United States Department of Biological Chemistry and Life Sciences Institute University of Michigan Ann ArborMI United States Pervasive Technology Institute Indiana University BloomingtonIN United States Civil and Environmental Engineering Utah State University LoganUT United States Keith G. Jeffery Consultants Faringdon United Kingdom Multiscale Networked Systems Group University of Amsterdam Amsterdam Netherlands Chief Technology Office LifeWatch ERIC Seville Spain Chemistry Department Sonoma State University Rohnert ParkCA United States Department of Geological Sciences CIRES University of Colorado Boulder BoulderCO United States National Research Council of Italy Pisa Italy Research Center for Parallel Computing University of Westminster London United Kingdom Center for Research Computing University of Notre Dame Notre DameIN United States

Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations. © 2020 John Wiley & Sons, Ltd.

关键词： Web services

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Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density

Multivariate Models for Decoding Hearing Impairment using EE...

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International Joint Conference on Neural Networks (IJCNN)

作者： Md Sultan Mahmud Faruk Ahmed Mohammed Yeasin Claude Alain Gavin M. Bidelman Department of Electrical and Computer Engineering University of Memphis TN USA Rotman Research Institute-Baycrest Centre for Geriatric Care Toronto Canada Department of Psychology University of Toronto Toronto Canada Institute of Medical Sciences University of Toronto Toronto Canada School of Communication Sciences & Disorders University of Memphis Memphis TN USA Institute for Intelligent Systems University of Memphis Memphis TN USA Department of Anatomy and Neurobiology University of Tennessee Health Sciences Center Memphis TN USA

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Speech-in-noise (SIN) comprehension decreases with age, and these declines have been related to social isolation, depression, and dementia in the elderly. In this work, we build models to distinguish the normal hearing (NH) or mild hearing impairment (HI) using the different genres of machine learning. We compute band wise power spectral density (PSD) of source- derived EEGs as features in building models using support vector machine (SVM), k-nearest neighbors (KNN), and AdaBoost classifiers and compare their performance while listeners perceived clear or noise-degraded sounds. Combining all frequency bands features obtained from the whole-brain, the SVM registered the best performance. The group classification accuracy was found to be 94.90% [area under the curve (AUC) 94.75%; F1-score 95.00%] perceived the clear speech, and for noise- degraded speech perception, accuracy was found to be 92.52% (AUC 91.12%, and F1-score 93.00%). Remarkably, individual frequency band analysis on whole-brain data showed that γ frequency band segregated groups with a best accuracy of 96.78%, AUC 96.79% for clear speech data and noise-degraded speech data yielded slightly less accuracy of 93.62% with AUC 93.17% by using SVM. A separate analysis using the left hemisphere (LH) and right hemisphere (RH) data showed that the LH activity is a better predictor of groups compared to RH. These results are consistent with the dominance of LH in auditory-linguistic processing. Our results demonstrate that spectral features of the γ-band frequency could be used to differentiate NH and HI older adults in terms of their ability to process speech sounds. These findings would be useful to model attentional and listening assistive devices to amplify a more specific pitch than others.

关键词： Auditory system Brain modeling Electroencephalography Support vector machines Diseases Machine learning Standards

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Inferring Particle Interaction Physical Models and Their Dynamical Properties

Inferring Particle Interaction Physical Models and Their Dyn...

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IEEE Annual Conference on Decision and Control

作者： Ion Matei Christos Mavridis John S. Baras Maksym Zhenirovskyy Palo Alto Research Center (PARC) Palo Alto CA Department of Electrical and Computer Engineering and the Institute for Systems Research University of Maryland College Park MD

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

We propose a framework based on port-Hamiltonian modeling formalism aimed at learning interaction models between particles (or networked systems) and dynamical properties such as trajectory symmetries and conservation laws of the ensemble (or swarm). The learning process is based on approaches and platforms used for large scale optimization and uses features such as automatic differentiation to compute gradients of optimization loss functions. We showcase our approach on the Cucker-Smale particle interaction model, which is first represented in a port-Hamiltonian form, and for which we re-discover the interaction model, and learn dynamical properties that are previously proved analytically. Our approach has the potential for discovering novel particle cooperation rules that can be extracted and used in cooperative control system applications.

关键词： Mathematical model Springs Shock absorbers Computational modeling Optimization Numerical models Mechanical systems

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Energetic electron precipitation driven by electromagnetic ion cyclotron waves from ELFIN’s low altitude perspective

arXiv

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arXiv 2022年

作者： Angelopoulos, V. Zhang, X.-J. Artemyev, A.V. Mourenas, D. Tsai, E. Wilkins, C. Runov, A. Liu, J. Turner, D.L. Li, W. Khurana, K. Wirz, R.E. Sergeev, V.A. Meng, X. Wu, J. Hartinger, M.D. Raita, T. Shen, Y. An, X. Shi, X. Bashir, M.F. Shen, X. Gan, L. Qin, M. Capannolo, L. Ma, Q. Russell, C.L. Masongsong, E.V. Caron, R. He, I. Iglesias, L. Jha, S. King, J. Kumar, S. Le, K. Mao, J. McDermott, A. Nguyen, K. Norris, A. Palla, A. Roosnovo Tam, J. Xie, E. Yap, R.C. Ye, S. Young, C. Adair, L.A. Shaffer, C. Chung, M. Cruce, P. Lawson, M. Leneman, D. Allen, M. Anderson, M. Arreola-Zamora, M. Artinger, J. Asher, J. Branchevsky, D. Cliffe, M. Colton, K. Costello, C. Depe, D. Domae, B.W. Eldin, S. Fitzgibbon, L. Flemming, A. Frederick, D.M. Gilbert, A. Hesford, B. Krieger, R. Lian, K. McKinney, E. Miller, J.P. Pedersen, C. Qu, Z. Rozario, R. Rubly, M. Seaton, R. Subramanian, A. Sundin, S.R. Tan, A. Thomlinson, D. Turner, W. Wing, G. Wong, C. Zarifian, A. Earth Planetary and Space Sciences Department Institute of Geophysics and Planetary Physics University of California Los Angeles Los AngelesCA90095 United States University of Texas at Dallas RichardsonTX75080 United States CEA DAM DIF Arpajon France Atmospheric and Oceanic Sciences Departments University of California Los AngelesCA United States Johns Hopkins University Applied Physics Laboratory LaurelMD United States Department of Astronomy Center for Space Physics Boston University BostonMA United States Mechanical and Aerospace Engineering Department Henry Samueli School of Engineering University of California Los AngelesCA90095 United States School of Mechanical Industrial Manufacturing Engineering Oregon State University CorvallisOR97331 United States University of St. Petersburg St. Petersburg Russia Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Space Science Institute BoulderCO80301 United States Sodankylä Geophysical Observatory University of Oulu Sodankylä Finland Materials Science and Engineering Department Henry Samueli School of Engineering University of California Los AngelesCA90095 United States Deloitte Consulting New YorkNY10112 United States Computer Science Department Henry Samueli School of Engineering University of California Los AngelesCA90095 United States Microsoft RedmondWA98052 United States Physics and Astronomy Department University of California Los AngelesCA90095 United States Department of Astronomy and Astrophysics The University of Chicago ChicagoIL60637 United States Raybeam Inc. Mountain ViewCA94041 United States SpaceX HawthorneCA90250 United States Reliable Robotics Corporation Mountain ViewCA94043 United States Los Alamos National Laboratory Los AlamosNM87545 United States Mathematics Department University of California Los AngelesCA90095 United States Planet Labs PBC San FranciscoCA94107 United States KSAT Inc. De

We review comprehensive observations of electromagnetic ion cyclotron (EMIC) wave-driven energetic electron precipitation using data from the energetic electron detector on the Electron Losses and Fields InvestigatioN (ELFIN) mission, two polar-orbiting low-altitude spinning CubeSats, measuring 50-5000 keV electrons with good pitch-angle and energy resolution. EMIC wave-driven precipitation exhibits a distinct signature in energy-spectrograms of the precipitating-to-trapped flux ratio: peaks at >0.5 MeV which are abrupt (bursty) (lasting ∼17s, or ∆L ∼ 0.56) with significant substructure (occasionally down to sub-second timescale). We attribute the bursty nature of the precipitation to the spatial extent and structuredness of the wave field at the equator. Multiple ELFIN passes over the same MLT sector allow us to study the spatial and temporal evolution of the EMIC wave - electron interaction region. Case studies employing conjugate ground-based or equatorial observations of the EMIC waves reveal that the energy of moderate and strong precipitation at ELFIN approximately agrees with theoretical expectations for cyclotron resonant interactions in a cold plasma. Using 2 years of ELFIN data uniformly distributed in local time, we assemble a statistical database of ∼50 events of strong EMIC wave-driven precipitation. Most reside at L ∼ 5 − 7 at dusk, while a smaller subset exists at L ∼ 8 − 12 at post-midnight. The energies of the peak-precipitation ratio and of the half-peak precipitation ratio (our proxy for the minimum resonance energy) exhibit an L-shell dependence in good agreement with theoretical estimates based on prior statistical observations of EMIC wave power spectra. The precipitation ratio’s spectral shape for the most intense events has an exponential falloff away from the peak (i.e., on either side of ∼ 1.45 MeV). It too agrees well with quasi-linear diffusion theory based on prior statistics of wave spectra. It should be noted though that this diffusive

关键词： Radiation belts

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A Design Framework for Invertible Logic

A Design Framework for Invertible Logic

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Asilomar Conference on Signals, systems & computers

作者： N. Onizawa K. Nishino S. Smithson B. Meyer W. Gross H. Yamagata H. Fujita T. Hanyu Research Institute of Electrical Communication Tohoku University Sendai Japan Department of Electrical and Computer Engineering McGill University Canada Advanced Research Laboratory Canon Medical Systems Corp. Japan

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

Invertible logic using a probabilistic magnetoresistive device model has been recently presented that can operate in bidirectional ways and solve several problems quickly, such as factorization and combinational optimization. In this paper, we present a design framework for large- scale invertible logic circuits. Our approach makes use of linear programming to create a Hamiltonian library with the minimum number of nodes. In addition, as the device model is approximated based on stochastic computing in SystemVerilog, a faster simulation using the compiled SystemC binary is realized than a conventional SPICE-level simulation. We have evaluated our framework on designing invertible multipliers, which realizes almost 5 order-of-magnitude faster simulation than a conventional method.

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DADA: Driver Attention Prediction in Driving Accident Scenarios

arXiv

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arXiv 2019年

作者： Fang, Jianwu Yan, Dingxin Qiao, Jiahuan Xue, Jianru Yu, Hongkai The College of Transportation Engineering Chang'an University Xi'An China The Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'An China The Department of Electrical Engineering and Computer Science Cleveland State University Cleveland United States

Driver attention prediction is becoming an essential research problem in human-like driving systems. This work makes an attempt to predict the driver attention in driving accident scenarios (DADA). However, challenges tread on the heels of that because of the dynamic traffic scene, intricate and imbalanced accident categories. In this work, we design a semantic context induced attentive fusion network (SCAFNet). We first segment the RGB video frames into the images with different semantic regions (i.e., semantic images), where each region denotes one kind of semantic categories of the scene (e.g., road, trees, etc.), and learn the spatio-temporal features of RGB frames and semantic images in two parallel paths simultaneously. Then, the learned features are fused by an attentive fusion network to find the semantic-induced scene variation in driver attention prediction. The contributions are three folds. 1) With the semantic images, we introduce their semantic context features and verified the manifest promotion effect for helping the driver attention prediction, where the semantic context features are modeled by a graph convolution network (GCN) on semantic images;2) We fuse the semantic context features of semantic images and the features of RGB frames in an attentive strategy, and the fused details are transferred over frames by a convolutional LSTM module to obtain the attention map of each video frame with the consideration of historical scene variation in driving situations;3) The superiority of the proposed method is evaluated on our previously collected dataset (named as DADA-2000) and two other challenging datasets with state-of-the-art methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Forecasting

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User association in dense mmwave networks based on rate requirements

arXiv

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arXiv 2019年

作者： Boljanovic, Veljko Yaghoubi, Forough Cabric, Danijela Electrical and Computer Engineering Department University of California Los AngelesCA United States Communication Systems Division Kth Royal Institute of Technology Stockholm Sweden

Commonly considered user association frameworks in millimeter-wave communications are based on the sum rate maximization, and they essentially neglect user specific rate and service requirements. Furthermore, new features of millimeter-wave communications including spatial multiplexing, connectivity to multiple coordinated base stations and dense base station deployment are not considered. In this work, we propose a two-step optimization framework for single-shot user association in dense millimeter-wave networks which takes into account users' rate requirements, multi-connectivity, and hybrid transceiver architecture for spatial multiplexing. The proposed framework considers multiple RF chains at each base station and assigns them to different users that also have multiple RF chains for connectivity with more than one base station. In the first step, the objective of the user association is to maximize the number of users with satisfied rate requirements while minimizing network underutilization. In the second step, remaining RF chains are assigned to users, whose rate requirement has not been met, such that network sum rate is maximized. This is a novel problem formulation for user associate in millimeterwave networks. We propose low complexity sub-optimal user association algorithms based on this formulation, numerically evaluate the optimal and sub-optimal solutions, and compare them to the conventional association approaches in terms of the number of associated users and network sum rate. Copyright © 2019, The Authors. All rights reserved.

关键词： Base stations

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