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IEEJ Transactions on Electronics, Information and systems 2019年第12期139卷 1442-1451页

作者： Minewaki, Sayaka Hamzah, Fairoza Amira Binti Yoshida, Taichi Iwahashi, Masahiro Kiya, Hitoshi Department of Computer Science and Engineering National Institute of Technology Yuge College 1000 Kamijima-cho Ochi-gun Ehime794-2593 Japan Kyoto College of Graduate Studies for Informatics 7 Tanakamonzen-cho Sakyo-ku Kyoto606-8225 Japan Department of Computer and Network Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Department of Electrical Electronics and Information Engineering Nagaoka University of Technology 1603-1 Kamitomioka Nagaoka Niigata940-2188 Japan Department of Information and Communication Systems Faculty of System Design Tokyo Metropolitan University 6-6 Asahigaoka Hino Tokyo191-0065 Japan

We propose a two-layer coding method for HDR images with noise bias compensation (NBC). Although the mean of image noise is assumed to be zero originally, it becomes nonzero (that is, noise bias is present) after tone mapping, because of the nonlinearity of tone mapping. In the conventional two-layer coding, the reconstructed LDR image is decoded using a lossy encoder of a base layer that includes noise;the noise is included in an HDR image that is inverse tone mapped from a reconstructed LDR image with noise bias. We aim to improve the quality of reconstructed HDR images by compensating for noise bias. NBC classifies pixels in a noisy image into several subsets according to the pixel value after tone mapping, and compensates for the pixel value in each subset with a compensation value determined in advance. The compensation values are determined by using all pixel values in the LDR image that is input to the base layer, in addition to those in the HDR image that is inversely tone mapped from the reconstructed LDR image. We perform NBC following inverse tone mapping for the reconstructed LDR image. Experimental results show the effectiveness of the proposed method. © 2019 The institute of electrical Engineers of Japan.

关键词： Image denoising

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TCAD modeling for SiGe HBT THz detectors

arXiv

引用

arXiv 2019年

作者： Liu, Xueqing Suarez, John Shur, Michael Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States Department of Electrical Engineering Widener University ChesterPA19013 United States

Terahertz (THz) response of transistor and integrated circuit yields important information about device parameters and has been used for distinguishing between working and defective transistors and circuits. Using a TCAD model for SiGe HBTs we simulate their current-voltage characteristics and their response to sub-THz (300 GHz) radiation. Applying different mixed mode schemes in TCAD, we simulated the dynamic range of the THz response for SiGe HBTs and showed that it is comparable with that of the TeraFET detectors. The HBT response to the variations of the detector design parameters are investigated at different frequencies with the harmonic balance simulation in TCAD. These results are useful for the physical design and optimization for the HBT THz detectors and for the identification of faulty SiGe HBT and Si BiCMOS circuits using sub-THz or THz scanning. Copyright © 2019, The Authors. All rights reserved.

关键词： Electronic design automation

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Characterizing and detecting freezing of gait using multi-modal physiological signals

arXiv

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arXiv 2020年

作者： Wang, Ying Beuving, Floris Nonnekes, Jorik Cohen, Mike X. Long, Xi Aarts, Ronald M. van Wezel, Richard Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherlands Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Academic Center for Epileptology Kempenhaeghe Heeze Netherlands Donders Institute for Brain Cognition and Behaviour Department of Rehabilitation Radboud University Medical Centre Nijmegen Netherlands Department of Rehabilitation Sint Maartenskliniek Nijmegen Netherlands Philips Research Eindhoven Netherlands Biomedical Signals and Systems Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

Freezing-of-gait a mysterious symptom of Parkinson’s disease and defined as a sudden loss of ability to move forward. Common treatments of freezing episodes are currently of moderate efficacy and can likely be improved through a reliable freezing evaluation. Basic-science studies about the characterization of freezing episodes and a 24/7 evidence-support freezing detection system can contribute to the reliability of the evaluation in daily life. In this study, we analyzed multi-modal features from brain, eye, heart, motion, and gait activity from 15 participants with idiopathic Parkinson’s disease and 551 freezing episodes induced by turning in place. Statistical analysis was first applied on 248 of the 551 to determine which multi-modal features were associated with freezing episodes. Features significantly associated with freezing episodes were ranked and used for the freezing detection. We found that eye-stabilization speed during turning and lower-body trembling measure significantly associated with freezing episodes and used for freezing detection. Using a leave-one-subject-out cross-validation, we obtained a sensitivity of 97% ± 3%, a specificity of 96% ± 7%, a precision of 73% ± 21%, a Matthews correlation coefficient of 0.82 ± 0.15, and an area under the Precision-Recall curve of 0.94 ± 0.05. According to the Precision-Recall curves, the proposed freezing detection method using the multi-modal features performed better than using single-modal features. Copyright © 2020, The Authors. All rights reserved.

关键词： Wearable sensors

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Adaptive Resonant Energy Realization in FB-ZCS DC-DC Converter Using Dual-Capacitor Circuit

Adaptive Resonant Energy Realization in FB-ZCS DC-DC Convert...

引用

IEEE Energy Conversion Congress and Exposition

作者： Rohit Suryadevara Leila Parsa Electrical Computer & Systems Engineering Rensselaer Polytechnic Institute Troy NY USA Department of Electrical Engineering University of California Santa Cruz Santa Cruz CA USA

This paper presents a current-fed full-bridge zero-current-switching (FB-ZCS) dc-dc converter with adaptive resonant energy, realized using dual-capacitor resonant circuit. In existing FB-ZCS converters, transformer leakage inductance and a resonant capacitor form the L-C resonant circuit to achieve smooth current commutation and soft-switching. Two types of resonant capacitor configurations are proposed in literature: shunt-connected across the transformer-secondary and series-connected with the transformer-primary. Shunt-connected capacitor has the drawbacks of constant resonant energy and large duty-cycle loss. While series-connected capacitor realizes adaptive resonant energy and reduces duty-cycle loss, it suffers from increased peak-voltage stress for primary-side components and insufficient resonant capacitor voltage at light-loads. This paper presents a dual-capacitor resonant circuit to realize adaptive resonant energy and address the aforementioned limitations. Operation of proposed converter is explained and validated through simulation and experimental results.

关键词： Capacitors Zero current switching Mathematical model RLC circuits Inductance Inductors Loading

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NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

arXiv

引用

arXiv 2022年

作者： Guo, Yulan Wang, Longguang Wang, Yingqian Li, Juncheng Gu, Shuhang Timofte, Radu Chen, Liangyu Chu, Xiaojie Yu, Wenqing Jin, Kai Wei, Zeqiang Guo, Sha Yang, Angulia Zhou, Xiuzhuang Guo, Guodong Xiao, Huaxin Yan, Shen Liu, Yuxiang Cai, Hanxiao Dai, Bin Peng, Feiyue Cao, Pu Nie, Yang Yang, Lu Song, Qing Hu, Xiaotao Xu, Jun Xu, Mai Jing, Junpeng Deng, Xin Xing, Qunliang Qiao, Minglang Guan, Zhenyu Guo, Wenlong Peng, Chenxu Chen, Zan Chen, Junyang Li, Hao Chen, Junbin Li, Weijie Yang, Zhijing Li, Gen Li, Aijin Sun, Lei Zhang, Dafeng Liu, Shizhuo Zhang, Jiangtao Qu, Yanyun Yang, Hao-Hsiang Huang, Zhi-Kai Chen, Wei-Ting Chang, Hua-En Kuo, Sy-Yen Liang, Qiaohui Lin, Jianxin Wang, Yijun Yin, Lianying Zhang, Rongju Zhao, Wei Xiao, Peng Xu, Rongjian Zhang, Zhilu Zuo, Wangmeng Guo, Hansheng Gao, Guangwei Zeng, Tieyong Kim, Joohyeok Kim, HyeonA Park, Eunpil Sim, Jae-Young Pi, Huicheng Zhang, Shunli Zhai, Jucai Zeng, Pengcheng Liu, Yang Ma, Chihao Huang, Yulin Chen, Junying National University of Defense Technology China The Chinese University of Hong Kong Hong Kong The University of Sydney Australia University of Würzburg ETH Zürich Switzerland MEGVII Technology China Peking University China Bigo Technology Pte. Ltd Singapore Smart Healthcare Innovation Lab Beijing University of Posts and Telecommunications China School of Artificial Intelligence Beijing University of Posts and Telecommunications China Head of Institute of Deep Learning Baidu Research College of Systems Engineering National University of Defense Technology China College of Liberal Arts and Sciences National University of Defense Technology China Pattern Recognition and Intelligent Vision Lab Beijing University of Posts and Telecommunications China College of Computer Science Nankai University Tianjin China School of Statistics and Data Science Nankai University Tianjin Singapore Beihang University China Zhejiang University of Technology China Guangdong University of Technology China Tencent OVBU SRC-B Xiamen University China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan College of Computer Science and Electronic Engineering Hunan University China Harbin Institude of Technology China The Chinese University of Hong Kong Hong Kong Nanjing University of Posts and Telecommunications China Department of Electrical Engineering Ulsan National Institute of Science and Technology Korea Republic of Graduate School of Artificial Intelligence Ulsan National Institute of Science and Technology Korea Republic of Beijing Jiaotong University China City University of Hong Kong Hong Kong South China University of Technology China

In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. Among those participants, 20 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR. Copyright © 2022, The Authors. All rights reserved.

关键词： Stereo image processing

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Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing systems

arXiv

引用

arXiv 2020年

作者： Chen, Xianfu Wu, Celimuge Chen, Tao Liu, Zhi Zhang, Honggang Bennis, Mehdi Liu, Hang Ji, Yusheng VTT Technical Research Centre of Finland Finland Graduate School of Informatics and Engineering University of Electro-Communications Tokyo Japan Department of Mathematical and Systems Engineering Shizuoka University Japan Zhejiang University Hangzhou China Centre for Wireless Communications University of Oulu Finland Department of Electrical Engineering and Computer Science Catholic University of America United States Information Systems Architecture Research Division National Institute of Informatics Tokyo Japan

This paper studies the problem of information freshness-aware task offloading in an air-ground integrated multi-access edge computing system, which is deployed by an infrastructure provider (InP). A third-party real-time application service provider provides computing services to the subscribed mobile users (MUs) with the limited communication and computation resources from the InP based on a long-term business agreement. Due to the dynamic characteristics, the interactions among the MUs are modelled by a non-cooperative stochastic game, in which the control policies are coupled and each MU aims to selfishly maximize its own expected long-term payoff. To address the Nash equilibrium solutions, we propose that each MU behaves in accordance with the local system states and conjectures, based on which the stochastic game is transformed into a single-agent Markov decision process. Moreover, we derive a novel online deep reinforcement learning (RL) scheme that adopts two separate double deep Q-networks for each MU to approximate the Q-factor and the post-decision Q-factor. Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics. Numerical experiments examine the potentials of the proposed scheme in balancing the age of information and the energy consumption. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Corrigendum: Moving Next-Generation Phase-Field Models to BMS Applications -A Case Study that Confirms Professor Uzi Landau's Foresight [J. Electrochem. Soc., 171, 063507 (2024)]

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Journal of The Electrochemical Society 2024年第8期171卷 089002-089002页

作者： Tushar K. Telmasre Anthony César Concepción Suryanarayana Kolluri Lubhani Mishra Raghav S. Thiagarajan Aditya Naveen Matam Akshay Subramaniam Taylor R. Garrick Venkat R. Subramanian Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin Austin TX 78712 United States of America Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 United States of America Battery Materials and Systems Research General Motors Global Research and Development Center Warren MI 48090 United States of America Chandra Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 United States of America Energy Storage and Propulsion R&D and Manufacturing Engineering General Motors Technical Center Warren MI 48092 United States of America Affiliate Faculty Oden Institute for Computational Science and Engineering The University of Texas at Austin Austin TX 78712 United States of America

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Editor-in-Chief

引用

IEEE Access 2024年 12卷 i-xi页

作者： Derek Abbott Sonia Aissa Anuradha Annaswamy Nirwan Ansari Jun Cai Kun-Shan Chen Yixin Chen J.-C. Chiao Ayman El-Baz Shaikh Fattah Hoay Gooi Maya Gokhale Chih-Lin Ⅰ Giuseppe Iannaccone Yumi Iwashita Bruce Jacob Abbas Jamalipour Bahram Javidi Weihua Jiang Okyay Kaynak Hulya Kirkici Germano Lambert-Torres Shengtao Li Michal Mrozowski Michele Nappi Dalma Novak Hugo Proença Yi Qian Zhihua Qu Susanto Rahardja Mehrdad Saif Ali Serpengüzel Peter H. Siegel Ashitey Trebi-Ollennu Daniela Tuninetti Ge Wang Keith A. Wear Andreas Weisshaar C. Patrick Yue Enrico Zio School of Electrical and Electronic Engineering University of Adelaide Adelaide SA Australia Institut National de la Recherche Scientifique (INRS) Québec City Canada Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA USA Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Concordia University Montreal Canada Guilin University of Technology Guilin China Washington University St. Louis MO USA Southern Methodist University Dallas TX USA University of Louisville/Bioengineering Department Louisville KY USA Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh Nanyang Technological University Jurong West Singapore Lawrence Livermore National Laboratory Livermore CA USA China Mobile Research Institute Beijing China University of Pisa Pisa Italy NASA-JPL California Institute of Technology Pasadena CA USA Florida Polytechnic University Lakeland FL USA The University of Sydney Sydney NSW Australia University of Connecticut Storrs CT USA Nagaoka University of Technology Nagaoka Niigata Japan Department of Electrical and Electronic Engineering Boğaziçi University Istanbul Turkey University of South Alabama Mobile AL USA Gnarus Institute Itajuba Brazil Xi’an Jiaotong University Xi’an China Gdansk University of Technology Gdansk Poland University of Salerno Fisciano Italy Octane Wireless Hanover MD USA University of Beira Interior Covilhã Portugal Department of Electrical and Computer Engineering University of NebraskaLincoln Lincoln NE USA University of Central Florida Orlando Florida USA Singapore Institute of Technology 10 Dover Dr Singapore Infocomm Technology Cluster 10 Dover Dr Singapore University of Windsor Windsor Canada Department of Physics Koç University Istanbul Turkey California Institute of Technology (CalTech) Pasadena California USA NASA-JPL Mobility and Robotics Systems S

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A 3.47 e− Read Noise, 81 dB Dynamic Range Backside-Illuminated Multispectral Imager for Near-Infrared Fluorescence Image-Guided Surgery

A 3.47 e− Read Noise, 81 dB Dynamic Range Backside-Illumina...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： Steven Blair Amit Deliwala Eric Chen Sailesh Subashbabu Anthony Li Mebin George Missael Garcia Nan Cui Zhongmin Zhu Stefan Andonovski Borislav Kondov Sinisa Stojanoski Magdalena Bogdanovska Todorovska Gordana Petrusevska Goran Kondov Viktor Gruev Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis MO USA Medical Faculty Saints Cyril and Methodius University in Skopje Skopje Republic of North Macedonia Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana IL USA

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

Near-infrared fluorescence image-guided surgery relies on an interdisciplinary community to develop near-infrared fluorescent markers and near-infrared sensitive cameras capable of mapping relevant structures during surgical procedures. As biochemists pursue a new generation of near-infrared fluorophores aimed at surgical oncology and other applications, optoelectronic engineers developing near-infrared imagers have been slow to adopt architectural improvements that will enhance outcomes in existing operations and to document optoelectronic characteristics that are needed to predict endpoints for new procedures. Here we present a single-chip snapshot multispectral imaging system that integrates arrays of bandpass optical filters and six-transistor backside-illuminated pixels to provide RGB-NIR images with low read noise (3.47 e − ) and high dynamic range (81 dB). This imaging system is being used in clinical studies for sentinel lymph node mapping during breast cancer surgery.

关键词： Optical filters Surgery Image sensors Dynamic range Band-pass filters Gain

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A reconfigurable scan network based ic identification for embedded devices

A reconfigurable scan network based ic identification for em...

引用

2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018

作者： Aramoon, Omid Chen, Xi Qu, Gang Department of Electrical and Computer Engineering and Institute for Systems Research University of Maryland College Park United States

ISBN: (纸本)9783981926316

Most of the Internet of Things (IoT) and embedded devices are resource constrained, making it impractical to secure them with the traditional computationally expensive crypto-based solutions. However, security and privacy are crucial in many IoT applications such as health monitoring. In this paper, we consider one of the most fundamental security problems: how to identify and authenticate an embedded device. We consider the fact that embedded devices are designed by reusing IP cores with reconfigurable scan network (RSN) as the standard testing facility and propose to generate unique integrated circuit (IC) identifications (IDs) based on different configurations for the RSN. These circuit IDs not only solve the IC and device identification and authentication problems, they can also be considered as a lightweight security primitive in other applications such as IC metering and IP fingerprinting. We demonstrate through the ITC'02 benchmarks that the proposed approach can easily create from 107 to 10186 unique IDs without any overhead. Finally, our method complies with the IEEE standards and thus has high practical value. © 2018 EDAA.

关键词： Authentication

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