作者: Yongkang Wang1;Di-Hua Zhai1,2;Yuanqing Xia1;Danyang Liu1; (1School of Automation, Beijing Institute of Technology, Beijing, China 2Yangtze Delta Region Academy Beijing Institute of Technology, Jiaxing, China)
出处: IEEE Transactions on Industrial Informatics 2024 Vol.20 No.3 P4930-4939
关键词: Training;Data models;Clustering algorithms;Internet of Things;Informatics;Electronic learning;Behavioral sciences;Internet Of Things;Internet Of Things Applications;Backdoor Attacks;Data Distribution;Individual Learning;Heterogeneous Data;Robust Algorithm;Model Of Personality;Virtual Learning;Federated Learning;Attack Scenarios;Federated Learning Framework;Learning Rate;Local Data;Global Model;Teacher Model;Ablation Experiments;Clean Samples;Chameleon;Self-supervised Learning;Attack Success Rate;Virtual Data;Clean Dataset;Global Task;Clear Model;CIFAR-100 Dataset;Impact Of Attacks;Trigger Type;StyleGAN;Diverse Clients
摘要: Robustness and attacks have become prominent concerns in federated learning (FL)-based Internet of Things (IoT). Our focus primarily lies on robustnes ...
作者: Binglu Wang1,2;Yongqiang Zhao2;Le Yang2;Teng Long1;Xuelong Li2; (1School of Information and Electronics, Beijing Institute of Technology, Beijing, China 2Northwestern Polytechnical University, Xi’an, China)
出处: IEEE Transactions on Pattern Analysis and Machine Intelligence 2024 Vol.46 No.4 P2171-2190
关键词: Location awareness;Videos;Surveys;Task analysis;Prediction algorithms;Training;Supervised learning;Deep Learning;Temporal Localization;Deep Learning Era;Action Localization;Temporal Action Localization;Feature Representation;Action Instances;Step In The Field;Video Understanding;Long Short-term Memory;Intersection Over Union;Abundance Data;Receptive Field;Confidence Score;Promising Direction;Action Recognition;Appearance Features;Action Classes;Gated Recurrent Unit;Attention Weights;Action Detection;Performance Bottleneck;Classification Pipeline;Federated Learning;Action Proposals;Promising Research Direction;Action Frames;Graph Convolution;Two-stream Network;Multiple Procedures
摘要: The temporal action localization research aims to discover action instances from untrimmed videos, representing a fundamental step in the field of int ...
作者: Zheng, Jiayi1; Li, Zijun1; Zhang, Mengqing1; Gao, Lihong2; Zhang, Tong1; (1Institute of Chemical Defense, Beijing; 102205, China;2School of Materials Science and Engineering, Beijing Institute of Technology, Beijing; 100081, China)
出处: Ceramics International 2024 Vol.50 No.7Part B P11442-11450
关键词: Ablation behavior;Bilayer coatings;Laser ablation;Multifunctional coatings
摘要: With the rapid development of laser technology, the protection of high-energy lasers has received increasingly widespread attention. The current laser ...
作者: Ping Wang;Qi Feng;Weikang Dong;Denan Kong;Yang Yang;Lin Jia;Jijian Liu;Chunyu Zhao;Dan Guo;Ruifeng Tian;Shoujun Zheng;Junxi Duan;Jiadong Zhou (Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Centre for Quantum Physics, Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE), School of Physics, Beijing Institute of Technology, Beijing, 100081 China Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081 China)
出处: Advanced Functional Materials 2024 Vol.34 No.1 P2308356
关键词: chemical vapor deposition;nonstoichiometric;phase transitions;V3S5;vanadium chalcogenides
摘要: 2D intercalated vanadium chalcogenides have attracted intensive interest based on their physical properties and potential applications. However, contr ...
作者:
Liu, Luo-Jin1;Zhang, Zhao-Huia,b;
出处: International Journal of Applied Ceramic Technology 2024 Vol.21 No.1 P207-219
关键词: ceramic matrix composites;densification;mechanical properties;spark plasma sintering
摘要: Spark plasma sintering (SPS) tests were designed using the Taguchi method to create high-performance composites consisting of 60 wt% TiB2, ...
作者: Xichen Wang1;Can Ding2;Guoqiang Zhao1,3;Shiyong Li1,3;Yuenian Chen2;Houjun Sun1,3; (1Beijing Key Laboratory of Millimeter Wave and Terahertz Technology, Beijing Institute of Technology, Beijing, China 2Global Big Data Technologies Center, University of Technology Sydney, Ultimo, NSW, Australia 3Tangshan Research Institute, Beijing Institute of Technology, Tangshan, China)
出处: IEEE Antennas and Wireless Propagation Letters 2024 Vol.23 No.3 P1129-1133
关键词: Antennas;Couplings;Transmission line matrix methods;Antenna measurements;Substrates;Current distribution;Admittance;Differential Feeding;Decoupling Network;Center Frequency;Structural Symmetry;Symmetric Network;Wireless;Reverse Phase;Current Distribution;Large Array;Printed Circuit Board;Antenna Array;Difference Matrix;Transfer Matrix;Substrate Layer;Adjacent Elements;Electrical Length;Admittance Matrix;Cross-polarization Level;Adjacent Antennas;dB Improvement;Defected Ground Structure
摘要: This letter proposes the differential and symmetrical decoupling network (DSDN), a novel method specifically designed to decouple differentially fed a ...
作者: Zhengyan Zhang1,2;Xiaodong Qu1,2;Wolin Li1,2;Hongzhe Miao1,2;Fengrui Liu1,2; (1School of Information and Electronics, Beijing Institute of Technology, Beijing, China 2Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education, Beijing, China)
出处: IEEE Signal Processing Letters 2024 Vol.31 P701-705
关键词: Estimation;Direction-of-arrival estimation;Training;Interference;Signal to noise ratio;Covariance matrices;Unsupervised learning;Unsupervised Learning;Direction Of Arrival Estimation;Direction Of Arrival Estimation Method;Unsupervised Learning Network;Loss Function;Numerical Simulations;Estimation Performance;Penalty Term;Direct Signal;Strong Interference;Interference Power;Influence Of Interference;Root Mean Square Error;Training Set;Monte Carlo Simulation;Convolutional Neural Network;Covariance Matrix;Weak Signal;Radiation Source;Spatial Domain;Uniform Linear Array;Sparse Bayesian Learning;ResNet Block;Unsupervised Strategy;Uniform Grid;Sparse Method
摘要: In complex electronic countermeasure environment, direction-of-arrival (DOA) is very important for targets detection, localization and tracking. Howev ...
作者: Azmat, Mian1; Yang, Junlin1; Li, Qianyi1; Zhang, Jingyao1; Haibo, Jin1; Muhammad Kashif, Naseem1; Li, Jingbo1; (1Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing; 100081, China)
出处: Ceramics International 2024 Vol.50 No.7Part A P11119-11128
关键词: 3d-4f hybridization;Electron correlation;Phase transition;Rare-earth doping;Thermochromic properties;Vanadium dioxide
摘要: Vanadium dioxide is a promising thermochromic material for novel applications to smart optoelectronic devices due to its reversible insulator-to-metal ...
作者: Li, Wenlong;Liu, Min-Qian;Yang, Jian-Feng (1School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, 100081, China;2School of Statistics and Data Science, LPMC & KLMDASR, Nankai University, Tianjin, 300071, China)
出处: Statistical Papers 2024 Vol.65 No.1 P357-379
关键词: Computer experiment;Expansive replacement method;Generalized doubling;Orthogonal array;Stratification
摘要: Mappable nearly orthogonal arrays were recently proposed as a new class of space-filling designs for computer experiments. Inspired by mappable nearly ...
作者: Feiyuan Xing1;Ziquan Yan2;Xiaoyu Ding1; (1School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China 2Railway Engineering Research Institute, China Academy of Railway Sciences Corporation, Ltd., Beijing, China)
出处: IEEE Transactions on Industrial Informatics 2024 Vol.20 No.3 P4473-4480
关键词: Vibrations;Gears;Synchronization;Deep learning;Residual neural networks;Monitoring;Data integration;Residual Network;Structural Health Monitoring;Deep Residual Network;Vibration-based Structural Health Monitoring;Training Data;Accelerometer;Accurate Identification;Structural Damage;Structural Conditions;Temporal Domain;Actual Scenario;Vibration Signals;Single Video;ResNet Model;Training Set;Deep Learning;Convolutional Neural Network;Horizontal Plane;Data Matrix;Row Vector;Synchronous Events;Sensor Pixel;L Matrix;Damage State;Decision-level Fusion;Synchronization Signal;Data Fusion;Motion Field;Multiple Zones;Gabor Filters
摘要: In recent years, deep residual networks (ResNets) have been successfully used to detect structural damage. However, the performance of ResNets greatly ...
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