作者： Hao Wu^1,2;Yong Chen³;Yiyang Yuan^1,2;Jinshan Yue^1,2;Xiangqu Fu^1,2;Qirui Ren^1,2;Qing Luo^1,2;Pui-In Mak³;Xinghua Wang⁴;Feng Zhang^1,2; （¹Laboratory of Microelectronics Device and Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences (CAS), Beijing, China ²School of Integrated Circuit, University of Chinese Academy of Sciences, Beijing, China ³State-Key Laboratory of Analog and Mixed-Signal VLSI and IME/ECE-FST, University of Macau, Macau, China ⁴School of Information and Electronics, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Circuits and Systems I: Regular Papers 2024 Vol.71 No.2 P689-702

关键词： Task analysis;Image reconstruction;Image edge detection;Imaging;Energy efficiency;Pipelines;Hardware;Convolutional Neural Network;High Use;Image Quality;Energy Efficiency;Load Data;Residual Block;Video Quality;Update Strategy;Crucial Task;Edge Devices;Super-resolution Task;Sparse Optimization;Convolutional Layers;Low Use;Mapping Method;Parallelization;Data Transmission;Weight Data;Super-resolution Network;Nonlinear Modulation;Task Workload;Larger Image Size;Upsampling Layer;Update Operation;Peak Signal-to-noise Ratio;Depthwise Convolution;Masked Images;Head And Tail

摘要： Super-resolution (SR) task using the convolutional neural network is a crucial task in improving image and video quality. The introduction of the resi ...

作者： Yuxiang Zhang¹;Wei Li¹;Mengmeng Zhang¹;Shuai Wang²;Ran Tao¹;Qian Du³; （¹School of Information and Electronics, and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China ²Department of Chemistry, The University of Hong Kong, Hong Kong, China ³Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA）

出处： IEEE Transactions on Neural Networks and Learning Systems 2024 Vol.35 No.2 P1912-1925

关键词： Training;Task analysis;Testing;Feature extraction;Hyperspectral imaging;Power capacitors;Electronic mail;Hyperspectral Image Classification;Cross-domain Few-shot Learning;Classification Performance;Spatial Information;Domain Shift;Labeled Samples;Target Data;Domain Adaptation;Domain Alignment;Domain Adaptation Methods;Spatial Resolution;Convolutional Layers;K-nearest Neighbor;Multilayer Perceptron;Land Cover Classes;Node Features;Graph Neural Networks;Attention Map;Support Set;Query Set;Indian Pines;Pavia University;Distribution Graph;Unseen Classes;Few-shot Classification;Attention Feature;Ground Truth Map;Base Learning Rate;Query Sample;Unsupervised Domain Adaptation Methods

摘要： Most domain adaptation (DA) methods in cross-scene hyperspectral image classification focus on cases where source data (SD) and target data (TD) with ...

作者： Changshan He¹;Running Zhang²;Bang Huang³;Mingming Xu²;Zhibin Wang²;Lei Liu²;Zheng Lu²;Ye Jin¹; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;²Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China;³School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China）

出处： Electronics 2024 Vol.13 No.5 P851

关键词： FDA-MIMO radar;partially homogeneous environments;moving-target detection;OGLRT;TGLRT;TRao test

摘要： This paper delves into the problem of moving-target detection in partially homogeneous environments (PHE) with unknown Gaussian disturbance using a fr ...

作者： Zhen Hu¹;Man Cui²;Tao Shi³; （¹ College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. ² School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. ³ Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.）

出处： Micromachines 2024 Vol.15 No.3 P404

关键词： IGBT module;bond wire;reliability;thermal management.

摘要： As a core component of power conversion systems, insulated gate bipolar transistor (IGBT) modules continually suffer from severe thermal damage caused ...

作者： Tangyao Xie^1,2;, Xiangjun Xin^1,2,3,4;, Liye Fang¹;, Hengxin Yan¹;, Xiaolong Pan^1,2;, Xinying Li^1,2; （¹School of Information and Electronics, Beijing Institute of Technologyhttps://ror.org/01skt4w74, Beijing 100081, China ; ²Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing 100081, China ; ³School of Electronic Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China ; ⁴State Key Laboratory of Information Photonics and Optical Communications, BUPT, Beijing 100876, China）

出处： Optics Express 2024 Vol.32 No.7 P11337-11345

摘要： High-order quadrature amplitude modulation (QAM) can effectively improve the capacity and spectral efficiency of coherent optical transmission systems ...

作者： Lili Fan¹;Junhao Wang²;Yuanmeng Chang²;Yuke Li³;Yutong Wang⁴;Dongpu Cao⁵; （¹School of Information and Electronics, Beijing Institute of Technology, Jiangsu Industrial Innovation Center of Intelligent Equipment Co. Ltd, Beijing, China ²School of Science, Dalian Minzu University, Dalian, China ³Waytous Co. Ltd., Beijing, China ⁴State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China ⁵State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China）

出处： IEEE Transactions on Intelligent Vehicles 2024 P1-15

关键词： Radar;Radar antennas;Millimeter wave communication;Microstrip antennas;Antenna arrays;Radar detection;Autonomous vehicles

摘要： The rapid development of autonomous driving technology has driven continuous innovation in perception systems, with 4D millimeter-wave (mmWave) radar ...

作者： Han, Xu¹; Meng, Zonglin¹; Xia, Xin¹; Liao, Xishun¹; He, Yueshuai¹; Zheng, Zhaoliang¹; Wang, Yutong²; Xiang, Hao¹; Zhou, Zewei¹; Gao, Letian¹; Fan, Lili³; Li, Yuke⁴; Ma, Jiaqi¹; （¹UCLA Mobility Lab and FHWA Center of Excellence on New Mobility and Automated Vehicles, University of California, Los Angeles, CA, USA;²State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China;³School of Information and Electronics, Beijing Institute of Technology, Beijing, China;⁴Waytous Co. Ltd., Beijing, China）

出处： IEEE Transactions on Intelligent Vehicles 2024 Vol.9 No.1 P1-11

关键词： Transportation;Roads;Biological system modeling;Artificial intelligence;Real-time systems;Traffic control;Safety;Infrastructure Services;Transport System;Parallelization;Air Quality;Internet Of Things;Pedestrian;Wearable Devices;Light Signal;Traffic Congestion;Traffic Flow;Real-time Information;Incremental Learning;Traffic Conditions;Health And Wellness;Road Conditions;Personal Devices;Artificial Intelligence Models;Traffic Management;Traffic Patterns;Automated Vehicles;Artificial Systems;Physical System;Smart Contracts;Physical World;Robot Operating System;Decentralized System;Blockchain;Long Short-term Memory;Driver Behavior

摘要： This perspective paper delves into the concept of foundation intelligence that shapes the future of smart infrastructure services as the transportatio ...

作者： Yining Liu^1,2;Haiqiang Niu^2,3;Zhenglin Li^4,5;Duo Zhai^2,3; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China ³University of Chinese Academy of Sciences, Beijing, China ⁴School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai, China ⁵Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, Sun Yat-sen University, Zhuhai, China）

出处： IEEE Journal of Oceanic Engineering 2024 Vol.49 No.1 P180-196

关键词： Location awareness;Acoustics;Transfer learning;Sea measurements;Marine vehicles;Estimation;Distance measurement;Domain Adaptation;Vertical Array;Ships Of Opportunity;Deep Learning;Transfer Learning;Local Method;Localization Performance;Range Of Estimates;Speed Of Sound;South China Sea;Unlabeled Data;Model-based Methods;Depth Estimation;Deep Transfer Learning;Unsupervised Domain Adaptation Methods;Fine-tuning Method;Training Data;Test Data;Simulated Data;Deep Neural Network;Source Depth;Synthetic Environment;Column Of Fig;Actual Environment;Depth Error;Sample Covariance Matrix;Proportion Of Predictions;Sea Surface;Generalization Error;Signal-to-noise Ratio Data

摘要： Deep-learning source localization methods trained on synthetic replicas calculated by acoustic propagation models (referred to as model-based source l ...

作者： Lili Fan¹;Changxian Zeng²;Zonglin Meng³;Xin Xia³;Yuhang Liu^4,5;Jiaqi Ma³;Fei-Yue Wang⁶; （¹School of Information and Electronics, Beijing Institute of Technology, Beijing, China ²School of Science, Dalian Minzu University, Dalian, China ³Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, USA ⁴Institute of Automation, Chinese Academy of Sciences, Beijing, China ⁵School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China ⁶State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China）

出处： IEEE Transactions on Intelligent Vehicles 2024 Vol.9 No.1 P52-54

关键词： Collaboration;Intelligent vehicles;Space vehicles;Decision making;Autonomous vehicles;Cyberspace;Cameras;Perceptual System;Decision-making System;Collaborative System;Collaborative Decision-making;Intelligent Vehicles;Data Security;Social Space;Privacy Protection;Configuration Space;Intelligent Transportation Systems;Managerial Autonomy;Cause Of Issues;Interactive Process;Spatial Dimensions;Physical Space;Autonomous Vehicles;Data Exchange;Data Space;Smart Contracts;Reliable Perception;Single Space;Future Transportation;Millimeter-wave Radar;Blockchain Technology;Collaborative Data;Road Conditions;Public Key;Lack Of Protocols

摘要： This letter discusses the security considerations of cross-space collaborative perception based on Decentralized Autonomous Organizations (DAOs). It e ...

作者： Bao, Yuangui^{1, 2}; Zhao, Dan³; Sun, Jiayue⁴; Wen, Guanghui³; Yang, Tao⁴; （¹Beijing Institute of Technology, School of Information and Electronics, Beijing; 100081, China;²Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing; 314000, China;³Southeast University, School of Mathematics, Department of Systems Science, Nanjing; 211189, China;⁴Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang; 110004, China）

出处： IEEE Transactions on Systems, Man, and Cybernetics: Systems 2024 Vol.54 No.1 P471-483

关键词： Denial-of-service (DoS) attacks;event-triggered control;impulsive control;neural networks

摘要： This article focuses on solving the synchronization problem of neural networks (NNs) in the presence of denial-of-service (DoS) attacks and communicat ...