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检索条件"机构=The Key Laboratory of Embedded System and Service Computing"
632 条 记 录,以下是101-110 订阅
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Analysis and Design of Ironless Axial Flux Permanent Magnet Synchronous Motor  10
Analysis and Design of Ironless Axial Flux Permanent Magnet ...
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10th International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2018
作者: Zhang, Yufeng Liu, Na Guo, Shan Tong, Jun Zhou, Qixun Xi'an University of Science and Technology Xi'an China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
In this paper, a single stator twin external rotors ironless AFPMSM for robot applications is studied. The design method of the motor is proposed. The magnetic circuit calculation and the main motor size equations are... 详细信息
来源: 评论
An Initialization Method based on The Core Clusters for Locality-weight Fuzzy C-Means Clustering  4th
An Initialization Method based on The Core Clusters for Loca...
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2013 IEEE 4th International Conference on Software Engineering and service Science
作者: Lei Gu The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University School of Computer Science and Technology Nanjing University of Posts and Telecommunication
The Locality-weight fuzzy c-means clustering method has been presented *** this approach can improve the clustering accuracies,it often gains the unstable clustering results because some random samples are employed fo... 详细信息
来源: 评论
Adaptive Granulation for Efficient Classification on Noise Labeled Images  9
Adaptive Granulation for Efficient Classification on Noise L...
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9th IEEE International Conference on Computational Intelligence and Applications, ICCIA 2024
作者: Cai, Kecan Zhang, Hongyun Miao, Duoqian Tongji University Department of Computer Science and Technology Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
Current semi-supervised learning-based sample selection methods for noisy label image classification typically utilize all clean and noisy samples for model training. However, not all noisy samples contribute positive... 详细信息
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Method on the fault detection and diagnosis for the railway turnout based on the current curve of switch machine
Method on the fault detection and diagnosis for the railway ...
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2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013
作者: Mo, Xue Mei Fang, Yu Yang, Yun Guo The Key Laboratory of Embedded System and Service Computing Ministry of Education China Shanghai Railway Telecommunication Equipment Ltd Co. Shanghai China
This paper proposes a method of the fault detection and diagnosis for the railway turnout based on the current curve of switch machine. Exact curve matching fault detection method and SVM-based fault diagnosis method ... 详细信息
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Low-rate non-intrusive appliance load monitoring based on graph signal processing
Low-rate non-intrusive appliance load monitoring based on gr...
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2019 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2019
作者: Zhang, Bing Zhao, Shengjie Shi, Qingjiang Zhang, Rongqing Tongji University Key Laboratory of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University Sch. of Software Eng. the Key Lab. of Embedded System and Service Computing of Ministry of Education Shanghai China Tongji University School of Software Engineering Shanghai China
Thanks to the large-scale smart meters deployments around the world, non-intrusive appliance load monitoring (NILM) is receiving popularity. It aims to disaggregate the total electricity load of a home into individual... 详细信息
来源: 评论
General measure of knowledge granularity in incomplete information system
General measure of knowledge granularity in incomplete infor...
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GCIS, WRI Global Congress on Intelligent systems
作者: Zhao, Lei Zhao, Mingqing Shandong University of Science and Technology Qingdao China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
This essay introduces the concepts of knowledge granularity and information system. On this basis, we propose two new more general knowledge granularities: the combination granularity and polynomial granularity, which... 详细信息
来源: 评论
Particle swarm optimization based on pairwise comparisons  9th
Particle swarm optimization based on pairwise comparisons
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9th International Conference on Swarm Intelligence, ICSI 2018
作者: Zhang, JunQi Chen, JianQing Zhu, XiXun Wang, ChunHui Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
Particle swarm optimization (PSO) is a widely-adopted optimization algorithm which is based on particles’ fitness evaluations and their swarm intelligence. However, it is difficult to obtain the exact fitness evaluat... 详细信息
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Robust Learning to Rank Based on Portfolio Theory and AMOSA Algorithm
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IEEE Transactions on systems, Man, and Cybernetics: systems 2017年 第6期47卷 1007-1018页
作者: Li, Jinzhong Liu, Guanjun Yan, Chungang Jiang, Changjun Key Laboratory of the Ministry of Education for Embedded System and Service Computing Department of Computer Science and Technology Tongji University Shanghai201804 China Key Laboratory of Watershed Ecology and Geographical Environment Monitoring NASG Department of Computer Science and Technology Jinggangshan University Ji'an343009 China
Effectiveness is the most important factor considered in the ranking models yielded by algorithms of learning to rank (LTR). Most of the related ranking models only focus on improving the average effectiveness but ign... 详细信息
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A hybrid differential evolution algorithm for meta-task scheduling in grids
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High Technology Letters 2009年 第3期15卷 261-266页
作者: 康钦马 Jiang Changiun He Hong Huang Qiangsheng The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 P.R. China School of Infomlation Engineering Shandong University at Weihai Weihai 264209 P.R. China
Task scheduling is one of the core steps to effectively exploit the capabilities of heterogeneous re-sources in the *** paper presents a new hybrid differential evolution(HDE)algorithm for findingan optimal or near-op... 详细信息
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Fuzzy H∞ Filtering for Nonlinear Networked systems with Multiple Stochastic Time-Varying Delays, Packet Dropouts and Sensor Saturation  34
Fuzzy H∞ Filtering for Nonlinear Networked Systems with Mul...
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第三十四届中国控制会议
作者: XU Xiaoli YAN Huaicheng ZHANG Hao SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of information Science and Engineering East China University of Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of Education
This paper investigates the problem of H∞ filter design for a class of nonlinear networked system based on T-S fuzzy model. Multiple stochastic time-varying delays and some incomplete information are considered simul... 详细信息
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