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arXiv 2019年

作者： Ngo, Khac-Hoang Guillaud, Maxime Decurninge, Alexis Yang, Sheng Sarkar, Subrata Schniter, Philip Mathematical and Algorithmic Sciences Laboratory Paris Research Center Huawei Technologies Boulogne-Billancourt92100 France Laboratory of Signals and Systems CentraleSupélec University of Paris-Saclay Gif-sur-Yvette91190 France Department of Electrical and Computer Engineering Ohio State University ColumbusOH43210 United States

We consider the non-coherent single-input multiple-output (SIMO) multiple access channel with Grassmannian signaling under Rayleigh block fading. We propose a novel soft-output multi-user detector that computes the marginalized posterior of each transmitted signal using only the knowledge about the channel distribution. Our detector is based on expectation propagation (EP) approximate inference and has polynomial complexity in the number of users. A simplification of this detector, with reduced complexity, coincides with soft minimum-mean-square-error (MMSE) estimation and successive interference cancellation (SIC). Both detectors produce accurate approximates of the true posterior which lead to a high mismatched sum-rate of the system that uses the approximate posterior as the decoding metric. The proposed detectors also outperform, in terms of symbol error rate, a conventional coherent pilot-based detector and a state-of-the-art detector based on projecting the received signal onto the subspace orthogonal to the interference. The gain of our EP and MMSE-SIC detectors are further observed in terms of the bit error rate when using their soft outputs for a turbo channel decoder. Copyright © 2019, The Authors. All rights reserved.

关键词： Multiuser detection

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A strategic review on sustainable approaches in municipal solid waste management andenergy recovery: Role of artificial intelligence,economic stability andlife cycle assessment

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Bioresource technology 2023年 379卷 129044页

作者： Rajendiran Naveenkumar Jayaraj Iyyappan Ravichandran Pravin Seifedine Kadry Jeehoon Han Raveendran Sindhu Mukesh Kumar Awasthi Samuel Lalthazuala Rokhum Gurunathan Baskar Biological Systems Engineering University of Wisconsin-Madison Madison WI 53706 United States Forest Products Laboratory USDA Forest Service Madison WI 53726 United States. Department of Biotechnology Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Thandalam Chennai 602107 India. Department of Biotechnology St. Joseph's College of Engineering Chennai 600119. India. Department of Applied Data Science Noroff University College Kristiansand Norway Artificial Intelligence Research Center (AIRC) Ajman University Ajman 346 United Arab Emirates Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon. Department of Chemical Engineering Pohang University of Science and Technology Pohang 37673 Republic of Korea. Department of Food Technology TKM Institute of Technology Kollam Kerala India. College of Natural Resources and Environment Northwest A&F University Yangling Shaanxi Province 712100 China. Department of Chemistry National Institute of Technology Silchar 788010 Assam India. Department of Biotechnology St. Joseph's College of Engineering Chennai 600119. India Department of Applied Data Science Noroff University College Kristiansand Norway. Electronic address: basg2002@***.

The consumption of energy levels has increased in association with economic growth and concurrently increased the energy demand from renewable sources. The need under Sustainable Development Goals (SDG) intends to explore various technological advancements for the utilization of waste to energy. Municipal Solid Waste (MSW) has been reported as constructive feedstock to produce biofuels, biofuel carriers and biochemicals using energy-efficient technologies in risk freeways. The present review contemplates risk assessment and challenges in sorting and transportation of MSW and different aspects of conversion of MSW into energy are critically analysed. The circular bioeconomy of energy production strategies and management of waste are also analysed. The current scenario on MSW and its impacts on the environment are elucidated in conjunction with various policies and amendments equipped for the competent management of MSW in order to fabricate a sustained environment.

关键词： Circular bioeconomy Municipal Solid Waste Risk assessment Sustainable Waste Management

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Phaseless Passive Synthetic Aperture Radar Imaging via Wirtinger Flow 52

Phaseless Passive Synthetic Aperture Radar Imaging via Wirti...

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52nd Asilomar Conference on Signals, systems and computers, ACSSC 2018

作者： Yonel, Bariscan Mason, Eric Yazici, Birsen Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute 110 8th Street TroyNY12180 United States Tactical Electronic Warfare Division Naval Research Laboratory WashingtonDC20375 United States

ISBN: (纸本)9781538692189

In this paper, we present a novel method for passive imaging of stationary targets using phaseless measurements. One of the main benefits of the proposed approach is increased robustness to uncertainties inherent in passive imaging. Furthermore, unlike most passive radar imaging methods, our approach circumvents the need for two receivers by auto-correlating the received bistatic signal. Since the resulting measurements are phaseless, coherent imaging algorithms previously used in radar are no longer applicable. Thus, we propose an optimization based approach using the Wirtinger Flow algorithm. This is a non-convex approach, offering computational efficiency not realizable by convex alternatives. Through numerical simulations we demonstrate the effectiveness of this approach. © 2018 IEEE.

关键词： Computational efficiency

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Simultaneous Information and Energy Transmission: A Finite Block-Length Analysis 19

Simultaneous Information and Energy Transmission: A Finite B...

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19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018

作者： Perlaza, Samir M. Tajer, Ali Vincentpoor, H. de Lyon CITI Laboratory A Joint Laboratory between the Institut National de Recherche en Informatique et en Automatique 6 Av. des Arts Villeurbanne69621 France Rensselaer Polytechnic Institute Department of Electrical Computer and Systems Engineering TroyNY12180 United States Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

ISBN: (纸本)9781538635124

In this paper, a non-asymptotic analysis of the fundamental limits of simultaneous information and energy transmission (SIET) is presented. The notion of the information-energy capacity region, i.e., the largest set of simultaneously achievable information and energy rates, is revisited in a context in which transmissions occur within a finite number of channel uses and strictly positive decoding error probability (DEP) and energy shortage probability (ESP) are tolerated. The focus is on the case of one transmitter, one information receiver and one energy harvester communicating through binary symmetric memoryless channels. In this case, some outer bounds on the information transmission rate and the energy transmission rate are presented. More specifically, given a finite block-length, a DEP, and an ESP, four scenarios arise depending on whether an average or maximal probability constraint is imposed on the DEP and the ESP. For each scenario, the limits on the information rate and energy rate beyond which a transmission is no longer possible are presented (impossibility results). These results reveal the competitive interaction between the information transmission and energy transmission tasks identifying a certain regime in which increasing the information rate necessarily implies decreasing the energy rate and vice versa. © 2018 IEEE.

关键词： Probability

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Online Worker Selection Towards High Quality Map Collection for Autonomous Driving

Online Worker Selection Towards High Quality Map Collection ...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Xiaofeng Cao Yan Li Jiarong Han Peng Yang Feng Lyu Deke Guo Xuemin Shen Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha P.R. China School of Automation Beijing University of Posts and Telecommunications Beijing P.R. China Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada University of Waterloo Waterloo ON Canada

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Vehicle-based crowdsourcing is expected to be an economic yet efficient solution to build and maintain an accurate, fine-grained, and up-to-date environment map (i.e., high-definition map) for autonomous vehicles, which is an essential building block for safe and intelligent autonomous driving. However, how to select crowdsourcing workers with performance maximization is prudent and quite challenging since vehicles are highly dynamic and have unpredictable routes. In this paper, we study the worker selection problem for crowdsourced on-route map collection where the trade- off between the real-time worker exploration and exploitation is the main focus. Specifically, by adopting the multi-armed bandit model, we formulate a cumulative platform utility maximization problem. To solve this problem, we propose an Online Worker Selection (OWS) scheme, to learn drivers' performance and make worker selection decisions in real time. Essentially, two key designs are integrated in OWS: 1) performance transfer. If a new driver joins the crowdsourcing, we will initialize the new driver's performance based on the knowledge transferred from the existing drivers' records; and 2) marginal utility. Particularly, we carefully incorporate the platform utility to embody the marginal effect, i.e., repeated coverage by multiple vehicles on a certain road will undermine the utility. Based on the real-world vehicular GPS trace, we conduct extensive trace- driven simulations, and results demonstrate that our scheme can effectively obtain high-quality environment map, with on average 40.5% crowdsourcing utility gain over other benchmark schemes.

关键词： Crowdsourcing Roads Trajectory Task analysis Autonomous vehicles Global Positioning System

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From FAIR to CURE: Guidelines for Computational Models of Biological systems

arXiv

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arXiv 2025年

作者： Sauro, Herbert M. Agmon, Eran Blinov, Michael L. Gennari, John H. Hellerstein, Joe Heydarabadipour, Adel Hunter, Peter Jardine, Bartholomew E. May, Elebeoba Nickerson, David P. Smith, Lucian P. Bader, Gary D. Bergmann, Frank Boyle, Patrick M. Dräger, Andreas Faeder, James R. Feng, Song Freire, Juliana Fröhlich, Fabian Glazier, James A. Gorochowski, Thomas E. Helikar, Tomas Hoops, Stefan Imoukhuede, Princess Keating, Sarah M. Konig, Matthias Laubenbacher, Reinhard Loew, Leslie M. Lopez, Carlos F. Lytton, William W. McCulloch, Andrew Mendes, Pedro Myers, Chris J. Myers, Jerry G. Mulugeta, Lealem Niarakis, Anna van Niekerk, David D. Olivier, Brett G. Patrie, Alexander A. Quardokus, Ellen M. Radde, Nicole Rohwer, Johann M. Sahle, Sven Schaff, James C. Sego, T.J. Shin, Janis Snoep, Jacky L. Vadigepalli, Rajanikanth Wiley, H. Steve Waltemath, Dagmar Moraru, Ion Department of Bioengineering University of Washington SeattleWA98195-5061 United States Intelligent Systems Engineering and Biocomplexity Institute Indiana University Street BloomingtonIN47408 United States Center for Cardiovascular Biology University of Washington SeattleWA98195-5061 United States eScience Institute University of Washington SeattleWA98195-5061 United States Institute for Stem Cell and Regenerative Medicine University of Washington SeattleWA98195-5061 United States School of Biological Sciences University of Bristol 24 Tyndall Avenue BristolBS8 1TQ United Kingdom Departments of Physiology & Pharmacology Neurology Downstate Health Science University BrooklynNY11203 United States Department of Neurology Kings County Hospital BrooklynNY11203 United States NASA-John H. Glenn Research Center MS 110-3 21000 Brookpark Road ClevelandOH44135 United States Center for Cell Analysis and Modeling UConn Health 263 Farmington Avenue FarmingtonCT06030-6406 United States Amsterdam Institute for Life and Environment Vrije Universiteit Amsterdam De Boelelaan 1108 Amsterdam1081 HZ Netherlands Department of Pathology and Genomic Medicine Thomas Jefferson University 1020 Locust St PhiladelphiaPA19107 United States Biological Sciences Division Pacific Northwest National Laboratory 902 Battelle Blvd RichlandWA99354 United States Auckland Bioengineering Institute University of Auckland Auckland1010 New Zealand Center of Integrative Biology University of Toulouse III-Paul Sabatier 165 Rue Marianne Grunberg-Manago Toulouse31400 France Lifeware Group Inria Building Alan Turing 1 Rue Honoré d’Estienne d’Orves Palaiseau91120 France Multiscale Modeling Group Altos Labs Redwood CityCA94065 United States partner site Tübingen Tübingen Germany Ottfried-Müller-Str. 37 Tübingen72076 Germany 06120 Germany Department of Computer Science Center for Data Science New York University New YorkNY11201 United States Department of Bi

Guidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of "data", we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model credibility;the clarity of model descriptions and annotations for understandability;adherence to standards and open science practices for reproducibility;and the use of open standards and modular code for extensibility and reuse. We outline recommended and baseline requirements for each aspect of CURE, aiming to enhance the impact and trustworthiness of computational models, particularly in biomedical applications where credibility is paramount. Our perspective underscores the need for a more disciplined approach to modeling, aligning with emerging trends such as Digital Twins and emphasizing the importance of data and modeling standards for interoperability and reuse. Finally, we emphasize that given the non-trivial effort required to implement the guidelines, the community moves to automate as many of the guidelines as possible. © 2025, CC BY.

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Pareto-optimization framework for automated network-on-chip design

arXiv

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arXiv 2018年

作者： Kao, Tzyy-Juin Fink, Wolfgang Visual and Autonomous Exploration Systems Research Laboratory University of Arizona Department of Electrical and Computer Engineering TucsonAZ

With the advent of multi-core processors, network-on-chip design has been key in addressing network performances, such as bandwidth, power consumption, and communication delays when dealing with on-chip communication between the increasing number of processor cores. As the numbers of cores increase, network design becomes more complex. Therefore, there is a critical need in soliciting computer aid in determining network configurations that afford optimal performance given resources and design constraints. We propose a Pareto-optimization framework that explores the space of possible network configurations to determine optimal network latencies, power consumption, and the corresponding link allocations. For a given number of routers, average network latency and power consumption as example performance objectives can be displayed in form of Pareto-optimal fronts, thus not only offering a design tool, but also enabling trade-off studies. Copyright © 2018, The Authors. All rights reserved.

关键词： Simulated annealing

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Development of Protection Scheme for Active Distribution systems with Penetration of Distributed Generation

Development of Protection Scheme for Active Distribution Sys...

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IEEE SoutheastCon

作者： Hany Fawzy Habib Mohammad M. Esfahani Osama Mohammed the Energy Systems Research Laboratory Department of Electrical and Computer Engineering Florida International University Miami FL 33174

ISBN: (纸本)9781538661345

A significant increase in the penetration of distributed generation has resulted in operating the distributed systems with distributed generation in islanded mode. One of the major problems with implementation of that system is designing a proper protection scheme. It has been shown that conventional protection schemes will not operate successfully. This research, proposes a communication-assisted for microgrids to coordinate between the protection elements using energy storage device to isolate the fault from the system. Primary and back up protection were studied according to IEEE Std C37.112 to isolate the fault properly. The proposed technique investigated under several types of faults at different locations in the system. Several simulations are carried out to demonstrate the proposed protection algorithm.

关键词： Coordination fault calculation microgrid protection

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Microgrid Stability Improvement using a Fuzzy-Based PSS Design for Virtual Synchronous Generator

Microgrid Stability Improvement using a Fuzzy-Based PSS Desi...

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IEEE SoutheastCon

作者： Mohammad Mahmoudian Esfahani Hany F. Habib Osama A. Mohammed Energy Systems Research Laboratory Department of Electrical and Computer Engineering Florida International University Miami FL USA

ISBN: (纸本)9781538661345

In this paper, a fuzzy logic Power System Stabilizer (FL-PSS) is designed for the virtual synchronous generator (VSG) to improve the damping of the electromechanical low frequency oscillations during system disturbances. The Fuzzy Inference System (FIS) is designed and optimized using a multi-objective Genetic Algorithm (GA) to deal with the drawbacks of the conventional PSS design without losing the control simplicity. The proposed FL-PSS uses the rotor speed deviation as an input for the controller and generates a supplementary control signal based on Tagaki-Sugeno (T-S) technique. To validate the robustness of the proposed controller, a microgrid comprising multiple VSGs is simulated and studied. Comparing the results obtained by the proposed GA-based controller with conventional controllers obviously demonstrates the effectiveness of the proposed controller under different system disturbances and faults scenarios.

关键词： Electromechanical Oscillations Microgrid Power System Stabilizer (PSS) Stability Assessment Virtual Synchronous Generator (VSG)

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Closnets: A priori sparse topologies for faster DNN training

arXiv

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arXiv 2018年

作者： Isakov, Mihailo Kinsy, Michel A. Adaptive and Secure Computing Systems Laboratory Department of Electrical and Computer Engineering Boston University Boston United States

Fully-connected layers in deep neural networks (DNN) are often the throughput and power bottleneck during training. This is due to their large size and low data reuse. Pruning dense layers can significantly reduce the size of these networks, but this approach can only be applied after training. In this work we propose a novel fully-connected layer that reduces the memory requirements of DNNs without sacrificing accuracy. We replace a dense matrix with products of sparse matrices whose topologies we pick in advance. This allows us to: (1) train significantly smaller networks without a loss in accuracy, and (2) store the network weights without having to store connection indices. We therefore achieve significant training speedups due to the smaller network size, and a reduced amount of computation per epoch. We tested several sparse layer topologies and found that Clos networks perform well due to their high path diversity, shallowness, and high model accuracy. With the ClosNets, we are able to reduce dense layer sizes by as much as an order of magnitude without hurting model accuracy. Copyright © 2018, The Authors. All rights reserved.

关键词： Topology

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