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检索条件"机构=Key Laboratory of Machine Intelligence and System Control"
664 条 记 录,以下是551-560 订阅
排序:
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection
arXiv
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arXiv 2024年
作者: Zuo, Zuo Dong, Jiahao Gao, Yue Wu, Zongze National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China China The School of Software BNRist THUIBCS BLBCI Ts-inghua University Beijing100084 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China
In the manufacturing industry, defect detection is an essential but challenging task aiming to detect defects generated in the process of production. Though traditional YOLO models presents a good performance in defec... 详细信息
来源: 评论
A new hybrid tracking strategy based on Pulse Coupled Neural Network
A new hybrid tracking strategy based on Pulse Coupled Neural...
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International Conference on Information and Automation (ICIA)
作者: Songmin Jia Tao Xu Zhengyin Dong Xiuzhi Li Peng Zhang College of Electronic and Control Engineering Beijing University of Technology Beijing China Engineering Research Center of Digital Community Ministry of Education Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Xinxiang China
Visual object tracking is a fundamental research topic in computer vision. In this paper, we proposed a novel hybrid tracking method based on Pulse Coupled Neural Network (PCNN) and Multiple Instance Learning (MIL). M... 详细信息
来源: 评论
Learning Stable control for a Wheeled Inverted Pendulum with Fast Adaptive Neural Network
Learning Stable Control for a Wheeled Inverted Pendulum with...
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IEEE International Conference on Real-time Computing and Robotics (RCAR)
作者: Yuanzhe Peng Yongsheng Ou Wei Feng Chinese Academy of Sciences (CAS) Shenzhen Institutes of Advanced Technology (SIAT) Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China
Since it is difficult to work out a complete and accurate analytical model for some complex nonlinear dynamical systems, we mainly propose a method for learning stable control with fast adaptive neural network. Furthe... 详细信息
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Nonlinear steam generator feedwater system identification based on wavelet neural network
Nonlinear steam generator feedwater system identification ba...
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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)
作者: Hongrui Wang Mingzhe Yuan Pengbin Zhang Kunpeng Xing Guangzhou Institute of Industrial Intelligence Guangzhou People's Republic of China Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang People's Republic of China China Nuclear Power Engineering Co. Ltd Shenzhen People's Republic of China
Steam generator is the key equipment in the large and complex nuclear power plant, and its water supply system has the characteristics of time-varying, large delay, nonlinear. In this paper, a segmented linearized mod...
来源: 评论
Enhancing the McEliece Scheme Based on Concatenation of Polar Codes and Blocked QC-LDPC Codes
Enhancing the McEliece Scheme Based on Concatenation of Pola...
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IEEE Conference on Communications and Network Security (CNS)
作者: Xin Lin Yusun Fu Zihao Wang Junpeng Yin Ningbo Artificial Intelligence Institute Shanghai Jiao Tong University Ningbo China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China
This paper proposes an enhanced McEliece cryptosystem, leveraging a concatenation scheme of Polar codes and blocked QC-LDPC codes. During the key generation phase, the generator matrices for both Polar and blocked QC-... 详细信息
来源: 评论
AoI-Reliability Analysis with Block Length over Erasure Channels Using Rateless Codes
AoI-Reliability Analysis with Block Length over Erasure Chan...
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International Conference on Communication Technology (ICCT)
作者: Haobo Huang Yusun Fu Yue Qiao Junpeng Yin Weiwu Yan Ningbo Artificial Intelligence Institute Shanghai Jiao Tong University Ningbo China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China
As a metric to measure the information freshness, Age of Information (AoI) is widely used to evaluate low-latency high-reliability communication. Since the communication in Industrial Internet of Things (IIoT) often h... 详细信息
来源: 评论
Lightweight Vision Transformer for Small Data Sets
Lightweight Vision Transformer for Small Data Sets
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Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Wenxing Fang Yanxu Su Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei P. R. China Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing P. R. China
With the rapid development of Transformers in the field of computer vision, models based on Transformers have become highly competitive architectures in the area. Although variants of Transformer models have achieved ...
来源: 评论
Boltzmann Robust Soliton Distribution for Rateless Codes
Boltzmann Robust Soliton Distribution for Rateless Codes
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International Conference on Communication Technology (ICCT)
作者: Jinhui Tang Yusun Fu Yue Qiao Junpeng Yin Haobo Huang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Ningbo Artificial Intelligence Institute Shanghai Jiao Tong University Ningbo China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China
The decoding success rate may be worse when classical degree distributions are used in short-packet transmission of rateless codes, especially in industrial communication scenarios. A novel Boltzmann degree distributi... 详细信息
来源: 评论
LCFNet: Loss Compensation Fusion Network for Real-Time Semantic Segmentation of Urban Road Scenes
LCFNet: Loss Compensation Fusion Network for Real-Time Seman...
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International Conference on Intelligent Transportation
作者: Lu Yang Yiwen Bai Fenglei Ren Shiyu Zhang Chongke Bi Tianjin Key Laboratory for Advanced Mechanical System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China College of Intelligence and Computing Tianjin University Tianjin China
Semantic segmentation is used by intelligent transportation systems to understand and sense the traffic environment. However, achieving semantic segmentation in real-time is a challenge due to the necessity of both hi...
来源: 评论
Relevance attack on detectors
arXiv
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arXiv 2020年
作者: Chen, Sizhe He, Fan Huang, Xiaolin Zhang, Kun Department of Automation The Institute of Medical Robotics The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Philosophy Department and Machine Learning Department Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States
This paper focuses on high-transferable adversarial attacks on detectors, which are hard to attack in a black-box manner, because of their multiple-output characteristics and the diversity across architectures. To pur... 详细信息
来源: 评论