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检索条件"机构=The key Laboratory of Embedded System and Service Computing"
631 条 记 录,以下是371-380 订阅
排序:
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
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
来源: 评论
Cough signal recognition with gammatone cepstral coefficients
Cough signal recognition with gammatone cepstral coefficient...
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2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
作者: Liu, Jia-Ming You, Mingyu Li, Guo-Zheng Wang, Zheng Xu, Xianghuai Qiu, Zhongmin Xie, Wenjia An, Chao Chen, Sili Key Laboratory of Embedded System and Service Computing Department of Control Science and Engineering Tongji University Shanghai 201804 China Department of Respiratory Medicine Shanghai 200065 China
Cough Recognition is a valuable classification problem in healthcare. Generally, feature representation contributes a lot to the overall classifying performance. In this paper, a novel feature extraction method, Gamma... 详细信息
来源: 评论
An enhanced two-factor user authentication in wireless sensor networks
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Telecommunication systems 2013年 第1期55卷 105-113页
作者: Yuan, Jian-Jun Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China
Since wireless sensor networks (WSN) are often deployed in an unattended environment and sensor nodes are equipped with limited computing power modules, user authentication is a critical issue when a user wants to acc...
来源: 评论
Real-Time Communication Method for mHealth Base on Extended XMPP Protocol
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Communications and Network 2013年 第3期5卷 590-595页
作者: Chenjie Shi Yu Fang The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
Considering characteristic of mHealth communication and problems of existing methods, this paper presents a real-time communication method for mHealth based on extended XMPP protocol. The method can maintain the role ... 详细信息
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Research on Fault Diagnosis of Tennessee Eastman Process Based on KPCA and SVM
Research on Fault Diagnosis of Tennessee Eastman Process Bas...
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International Symposium on Computational Intelligence and Design, ISCID
作者: Ke Zhang Kun Qian Yi Chai Yi Li Jianhuan Liu State Key Laboratory of Power Transmission Equipment & System Security and New Technology College of Automation Chongqing University Chongqing P.R. China Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education College of Automation Chongqing University Chongqing P.R. China
Based on principal component analysis (PCA) and support vector machine (SVM), a new method for the fault diagnosis of TE Process is proposed. The fault recognition based on kernel principal component analysis (KPCA) i... 详细信息
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Using more initial centers for the seeding-based semi-supervised K-harmonic means clustering
Using more initial centers for the seeding-based semi-superv...
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2012 International Conference on Emerging Technologies for Information systems, computing, and Management, ICM 2012
作者: Gu, Lei Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China School of Computer Science and Technology Nanjing University of Posts and Telecommunication Nanjing China
In the initialization of the traditional semi-supervised k-means, the mean of some labeled data belonging to one same class was regarded as one initial center and the number of the initial centers is equal to the numb... 详细信息
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Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine
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Science China(Information Sciences) 2013年 第5期56卷 238-250页
作者: SHAO Huan LI GuoZheng LIU GuoPing WANG YiQin School of Computer Engineering and Science Shanghai University Department of Control Science and Engineering Key Laboratory of Ministry of Education for Service Computing and Embedded SystemsTongji University Laboratory of Information Access and Synthesis of TCM Four Diagnosis Shanghai University of Traditional Chinese Medicine
In traditional Chinese medicine(TCM) diagnosis,a patient may be associated with more than one syndrome tags,and its computer-aided diagnosis is a typical application in the domain of multi-label learning of high-dimen... 详细信息
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Use the core clusters for the initialization of the clustering based on one-class support vector machine
Use the core clusters for the initialization of the clusteri...
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4th International Conference on Advances in Swarm Intelligence, ICSI 2013
作者: Gu, Lei Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China
The clustering method based on one-class support vector machine has been presented recently. Although this approach can improve the clustering accuracies, it often gains the unstable clustering results because some ra... 详细信息
来源: 评论
An evolutionary semi-supervised subtractive clustering method by seeding
An evolutionary semi-supervised subtractive clustering metho...
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2012 International Conference on Information Technology and Software Engineering, ITSE 2012
作者: Gu, Lei Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China School of Computer Science and Technology Nanjing University of Posts and Telecommunication Nanjing 210046 China
A semi-supervised subtractive clustering has been proposed recently. However, it performance depends greatly on the choice of the parameters of the mountain function and only proper parameters enable the clustering me... 详细信息
来源: 评论