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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Yufei Peng Kenneth Loparo Department of Electrical Computer and Systems Engineering Case Western Reserve University Cleveland USA China Energy Engineering Group Jiangsu Power Design Institute CO.LTD Nanjing China

ISBN: (数字)9781728157481

ISBN: (纸本)9781728157498

With the increasingly connection of distributed energy resources and IoT, distribution systems are becoming more heterogeneous and complex with bidirectional power flow. This requires autonomous control and management systems for the power distribution that can enable bidirectional power flow and communications of real-time data for both endusers and distribution system operators. This paper focuses on the development of a hardware test bed that includes a distribution network in conjunction with real-time communications, control and data exchange. This AC microgrid test bed has been built with lab-level voltages, and a multiagent control system using the VOLTTRON platform to study real-time control to manage demand and for energy price optimization. Some operational scenarios are presented in the paper to illustrate how this system work.

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Nanoparticle-Supported, Rapid, Digital Quantification of Neutralizing Antibodies Against Sars-Cov-2 Variants

SSRN

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SSRN 2025年

作者： Mirjalili, Seyedsina Ikbal, Md Ashif Hou, Ching-Wen Mohammadi, Maziyar Kalateh Choi, Yeji Kelbauskas, Laimonas VanBlargan, Laura A. Hogue, Brenda G. Murugan, Vel Diamond, Michael S. Wang, Chao School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Biodesign Center for Molecular Design and Biomimetics Arizona State University AZ85287 United States Biodesign Center for Personalized Diagnostics Arizona State University AZ85287 United States The National Institutes of Health BethesdaMD United States Biodesign Center for Applied Structural Discovery Arizona State University AZ85287 United States School of Life Sciences Arizona State University TempeAZ85287 United States Departments of Medicine Molecular Microbiology and Pathology & Immunology Washington University School of Medicine St. LouisMO United States Department of Medicine United States

The measurement of neutralizing immune responses to viral infection is essential, given the heterogeneity of human immunity and the emergence of new virus strains. However, neutralizing antibody (nAb) assays often require high-level biosafety containment, sophisticated instrumentation, and long detection times. Here, as a proof-of-principle, we designed a nanoparticle-supported, rapid, electronic detection (NasRED) assay to assess the neutralizing potency of monoclonal antibodies (mAbs) against SARS-CoV-2. The gold nanoparticles (AuNPs) coated with human angiotensin-converting enzyme 2 (ACE2) protein as nAb potency reporters were mixed with the mAbs to be tested, as well as streptavidin-conjugated multivalent spike (S) protein or their receptor binding domains (RBD). High-affinity and ACE2-competitive nAbs alter the S (or RBD)-to-ACE2 binding level and modulate AuNP cluster formation and precipitation. The amount of free-floating AuNP reporters is quantified by a semiconductor-based readout system that measures the AuNPs' optical extinction, producing nAb signals that can differentiate SARS-CoV-2 variants (Wuhan-Hu-1, Gamma, and Omicron). The modular design nature, short assay time (less than 30 minutes), and portable and inexpensive readout system make this NasRED-nAb assay applicable to measuring vaccine potency, immune responses to infection, and the efficacy of antibody-based therapies. © 2025, The Authors. All rights reserved.

关键词： Gold nanoparticles

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Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models

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IEEE Transactions on Vehicular Technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

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Ruddlesden-Popper chalcogenides push the limit of mechanical stiffness and glass-like thermal conductivity in single crystals

arXiv

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arXiv 2023年

作者： Hoque, Md Shafkat Bin Hoglund, Eric R. Zhao, Boyang Bao, De-Liang Zhou, Hao Thakur, Sandip Osei-Agyemang, Eric Hattar, Khalid Scott, Ethan A. Surendran, Mythili Tomko, John A. Gaskins, John T. Aryana, Kiumars Makarem, Sara Alwen, Adie Hodge, Andrea Balasubramanian, Ganesh Giri, Ashutosh Feng, Tianli Hachtel, Jordan A. Ravichandran, Jayakanth Pantelides, Sokrates T. Hopkins, Patrick E. Department of Mechanical and Aerospace Engineering University of Virginia CharlottesvilleVA22904 United States Department of Materials Science and Engineering University of Virginia CharlottesvilleVA22904 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37830 United States Mork Family Department of Chemical Engineering and Materials Science University of Southern California Los AngelesCA90089 United States Department of Physics and Astronomy Vanderbilt University NashvilleTN37235 United States Department of Mechanical Engineering University of Utah Salt Lake CityUT84112 United States Department of Mechanical Industrial and Systems Engineering University of Rhode Island KingstonRI02881 United States Department of Materials Design and Innovation University at Buffalo The State University of New York BuffaloNY14260 United States Department of Mechanical Engineering and Mechanics Lehigh University 19 Memorial Drive West BethlehemPA18015 United States Nuclear Engineering University of Tennessee KnoxvilleTN37996 United States Sandia National Laboratories AlbuquerqueNM87185 United States Laser thermal analysis CharlottesvilleVA22902 United States Department of Electrical and Computer Engineering Vanderbilt University NashvilleTN37235 United States Department of Physics University of Virginia CharlottesvilleVA22904 United States

Insulating materials featuring ultralow thermal conductivity for diverse applications also require robust mechanical properties. Conventional thinking, however, which correlates strong bonding with high atomic-vibration-mediated heat conduction, led to diverse weakly bonded materials that feature ultralow thermal conductivity and low elastic moduli. One must, therefore, search for strongly-bonded single crystals in which heat transport is impeded by other means. Here, we report intrinsic, glass-like, ultralow thermal conductivity and ultrahigh elastic-modulus/thermal-conductivity ratio in single-crystalline Ruddlesden-Popper Ban+1ZrnS3n+1, n = 2,3, which are derivatives of BaZrS3. Their key features are strong anharmonicity and intra-unit-cell rock-salt blocks. The latter produce strongly bonded intrinsic superlattices, impeding heat conduction by broadband reduction of phonon velocities and mean free paths and concomitant strong phonon localization. The present study initiates a paradigm of "mechanically stiff phonon glasses". © 2023, CC BY.

关键词： Single crystals

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Towards an Interaction Architecture for the iCub Robot: Social Gaze Space Model Adaptation for Social Interaction

Towards an Interaction Architecture for the iCub Robot: Soci...

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IEEE-RAS International Conference on Humanoid Robots

作者： Sahand Shaghaghi Pourya Aliasghari Bryan Tripp Britt Anderson Kerstin Dautenhahn Chrystopher L. Nehaniv Social & Intelligent Robotics Research Lab University of Waterloo 200 University Ave. W. Waterloo Ontario Canada Dept. of Systems Design Enginering University of Waterloo 200 University Ave. W. Waterloo Ontario Canada Dept. of Electrical & Computer Engineering University of Waterloo 200 University Ave. W. Waterloo Ontario Canada Centre for Theoretical Neuroscience University of Waterloo 200 University Ave. W. Waterloo Ontario Canada Dept. of Psychology University of Waterloo 200 University Ave. W. Waterloo Ontario Canada

ISBN: (数字)9798350373578

ISBN: (纸本)9798350373585

Gaze behaviour plays a crucial role in social interactions extending to Human-Robot Interactions. Humanoid robots equipped with anthropomorphic vision systems may be expected to employ natural gaze behaviour in interactions with humans. Here, we implemented a novel first-person human gaze state detection tool on the iCub robot and assessed its gaze detection accuracy. Using this tool, we then developed two social gaze interaction architectures for the iCub robot. The Social Gaze Space theory (SGS) of Jording and colleagues was the theoretical framework for building our first architecture, SGS Base (SGS-B). Our second architecture, SGS Interaction Architecture (SGS-IA), is the extended version of SGS Base that lets the robot take on different higher-level goals in an interaction, including being attentive to the interaction partner or attempting to direct their attention to an object. These architectures support dyadic social interactions involving initiating and responding to joint attention towards objects of interest, and are expected to allow the robot to interact in a more human-like manner in social interactions. The gaze detection accuracy of the iCub robot equipped with our choice of algorithms exceeded that of previously implemented methods. System validation trials confirmed that the robot detects the social gaze states correctly in the majority of the instances, allowing for behavioural control according to the Social Gaze Space theory. Validation tests presented in this article demonstrate the functionality of the SGS Interaction Architecture and also highlight the differences in personal interaction dynamics when the humanoid robot has no particular goals as opposed to when it has interactional goals appropriate to a teaching scenario.

关键词： Accuracy Architecture Education Humanoid robots Human-robot interaction Modulation Aerospace electronics Visual systems System validation Standards

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Cross-layer coordinated attacks on cyber-physical systems: A LQG game framework with controlled observations

arXiv

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arXiv 2020年

作者： Huang, Yunhan Xiong, Zehui Zhu, Quanyan Department of Electrical and Computer Engineering New York University 370 Jay St BrooklynNY United States Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore

— This work establishes a game-theoretic framework to study cross-layer coordinated attacks on cyber-physical systems (CPSs). The attacker can interfere with the physical process and launch jamming attacks on the communication channels simultaneously. At the same time, the defender can dodge the jamming by dispensing with observations. The generic framework captures a wide variety of classic attack models on CPSs. Leveraging dynamic programming techniques, we fully characterize the Subgame Perfect Equilibrium (SPE) control strategies. We also derive the SPE observation and jamming strategies and provide efficient computational methods to compute them. The results demonstrate that the physical and cyber attacks are coordinated and depend on each other. On the one hand, the control strategies are linear in the state estimate, and the estimate error caused by jamming attacks will induce performance degradation. On the other hand, the interactions between the attacker and the defender in the physical layer significantly impact the observation and jamming strategies. Numerical examples illustrate the exciting interactions between the defender and the attacker through their observation and jamming strategies. Copyright © 2020, The Authors. All rights reserved.

关键词： Game theory

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Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research

arXiv

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arXiv 2020年

作者： Poria, Soujanya Hazarika, Devamanyu Majumder, Navonil Mihalcea, Rada Information Systems Technology and Design Singapore University of Technology and Design Singapore School of Computing National University of Singapore Singapore Electrical Engineering and Computer Science University of Michigan Michigan United States

Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like marketing, risk management, market research, and politics, to name a few. Given its saturation in specific subtasks - such as sentiment polarity classification - and datasets, there is an underlying perception that this field has reached its maturity. In this article, we discuss this perception by pointing out the shortcomings and under-explored, yet key aspects of this field that are necessary to attain true sentiment understanding. We analyze the significant leaps responsible for its current relevance. Further, we attempt to chart a possible course for this field that covers many overlooked and unanswered questions. Copyright © 2020, The Authors. All rights reserved.

关键词： Sentiment analysis

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Lessons Learnt from designing a Smart Clothing Telehealth System for Hospital Use 32

Lessons Learnt from Designing a Smart Clothing Telehealth Sy...

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32nd Australian computer-Human Interaction Conference, OzCHI 2020

作者： Aggarwal, Deepti Hoang, Thuong Ploderer, Bernd Vetere, Frank Khot, Rohit Ashok Bradford, Mark Hafp Research Lab Rmit University Australia School of Information Technology Deakin University Australia School of Electrical Engineering and Computer Science Queensland University of Technology Australia Interaction Design Lab School of Computing and Information Systems The University of Melbourne Australia Dept. of Anaesthesia and Pain Management Royal Children's Hospital Australia

ISBN: (纸本)9781450389754

In this paper, we describe the design journey of a smart clothing system, SoPhy from the research laboratory to finally being evaluated in the hospital setting. SoPhy is a smart socks-based system, designed to make physiotherapy video consultations effective for assessing lower limb issues. SoPhy is the result of a 3-year journey of development, study and refinement of a research prototype done in collaboration with a physiotherapist. Drawing on this journey, we present seven lessons that emphasize on the importance of fostering strong collaborations with clinicians to move beyond laboratory studies and reach the target health setting. We provide contextual narratives on how we designed a comfortable smart clothing for patients;how we created an intuitive mapping of sensor data for clinicians;how we integrated hospital practice in the system design, and how we managed the ethics clearance for the field evaluation. We hope that these lessons are useful for HCI and health researchers who aim to innovate the field of health but feel restricted with the little knowledge of design and electronics. © 2020 ACM.

关键词： Research laboratories

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QuantYOLO: A High-Throughput and Power-Efficient Object Detection Network for Resource and Power Constrained UAVs

QuantYOLO: A High-Throughput and Power-Efficient Object Dete...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Muhammad Gohar Javed Minahil Raza Muhammad Mohsin Ghaffar Christian Weis Norbert Wehn Muhammad Shahzad Faisal Shafait School of Electrical Engineering and Computer Science National University of Sciences and Technology Pakistan Microelectronic Systems Design Research Group Technische Universität Kaiserslautern Germany Deep Learning Laboratory National Center of Artificial Intelligence (NCAI) Pakistan Data Science in Earth Observation TU Munich Germany

Convolutional Neural Networks (CNNs) are producing state-of-the-art results in the object detection field. However, deep topologies of CNN are computationally intensive and typically require excessive resources (i.e. high-end GPUs), which hinder their deployment on resource and power constrained UAVs. In this work, we present a high-throughput and power efficient quantized object detection network, QuantYOLO, which is based on the Tiny-YOLOv2 topology. We conduct a detailed exploration of precision and filter pruning vs. accuracy, throughput and power consumption trade-off for the object detection task. As a result of these explorations, we select a network with binarized weights and 4-bit activations (except the output layer), which is 21.8× smaller than the Tiny-YOLOv2 achieving a mean Average Precision (mAP) of 51.5% on the PASCAL-VOC dataset. Finally, we present an FPGA based accelerator, which achieves 1.6× higher throughput (FPS) and is 3.1× more power efficient as compared to prior FPGA architectures.

关键词： Quantization (signal) Power demand Network topology Object detection computer architecture Throughput Topology

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A 65 nm CMOS Synthesizable Digital Low-Dropout Regulator Based on Voltage-to-Time Conversion with 99.6% Current Efficiency at 10-mA Load 1

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26th IFIP/IEEE WG 10.5 International Conference on Very Large Scale Integration, VLSI-SoC 2018

作者： Ojima, Naoki Nakura, Toru Iizuka, Tetsuya Asada, Kunihiro Department of Electrical Engineering and Information Systems The University of Tokyo Tokyo Japan Department of Electronics Engineering and Computer Science Fukuoka University Fukuoka Japan VLSI Design and Education Center The University of Tokyo Tokyo Japan

ISBN: (数字)9783030234256

ISBN: (纸本)9783030234249

A synthesizable digital LDO implemented with standard-cell-based digital design flow is proposed. The difference between output and reference voltages is converted into delay difference using inverter chains as voltage-controlled delay lines, then compared in the time-domain. Since the time-domain difference is straightforwardly captured by a simple DFF-based phase detector, the proposed LDO does not need an analog voltage comparator, which requires careful manual design. All the components in the LDO can be described with Verilog codes based on their specifications, and placed-and-routed with a commercial EDA tool. This automated layout design relaxes the burden and time of implementation, and enhances process portability. The proposed LDO implemented in a 65 nm standard CMOS technology occupies 0.015 mm area. With 10.4 MHz internal clock, the tracking response of the LDO to 200 mV switching in the reference voltage is 4.5 s and the transient response to 5 mA change in the load current is 6.6 s. At 10 mA load current, the quiescent current consumed by the LDO core is as low as 35.2 A, which leads to 99.6% current efficiency. © 2019, IFIP International Federation for Information Processing.

关键词： Transient analysis

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