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检索条件"机构=Key Laboratory of MoE for Embedded System and Service Computing"
546 条 记 录,以下是221-230 订阅
排序:
A QUANTUM MULTI-AGENT BASED NEURAL NETWORK MODEL FOR FAILURE PREDICTION
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Journal of systems Science and systems Engineering 2016年 第2期25卷 210-228页
作者: Wei Wu Min Liu Qing Liu Weiming Shen School of Electronic and Information Engineering Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Shanghai 200092 China
An effective prognostic program is crucial to the predictive maintenance of complex equipment since it can improve productivity, prolong equipment life, and enhance system safety. This paper proposes a novel technique... 详细信息
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Image captioning with deep LSTM based on sequential residual
Image captioning with deep LSTM based on sequential residual
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Kaisheng Xu Hanli Wang Pengjie Tang Tongji University Shanghai Shanghai CN Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai CN Key Laboratory of Embedded System and Service Computing Tongji University Shanghai P. R. China Tongji University Shanghai P. R. China
Image captioning is a fundamental task which requires semantic understanding of images and the ability of generating description sentences with proper and correct structure. In consideration of the problem that langua... 详细信息
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Cluster Synchronization of Complex Networks With Unbounded Time-varying Delays  35
Cluster Synchronization of Complex Networks With Unbounded T...
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第35届中国控制会议
作者: LIU Xiwei CHEN Wenwen Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education
In this paper, we investigate the cluster synchronization problem with unbounded time-varying delays for complex networks by adding some external controllers. Previous related works mainly focused on bounded time-vary... 详细信息
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Finite-Time Synchronization of Nonlinearly Coupled systems With Delay  35
Finite-Time Synchronization of Nonlinearly Coupled Systems W...
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第35届中国控制会议
作者: LIU Xiwei LI Ping Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education
In this paper, we consider a general and practical complex network model, in which there exist couplings with and without time delays, and the coupled functions among nodes are also nonlinear. For this network model, ... 详细信息
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Traffic parameters prediction using a three-channel convolutional neural network  2nd
Traffic parameters prediction using a three-channel convolut...
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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017
作者: Zang, Di Wang, Dehai Cheng, Jiujun Tang, Keshuang Li, Xin Department of Computer Science and Technology Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Transportation Information and Control Engineering Tongji University Shanghai China Shanghai Lujie Electronic Technology Co. Ltd. PudongShanghai China
Traffic three elements consisting of flow, speed and occupancy are very important parameters representing the traffic information. Prediction of them is a fundamental problem of Intelligent Transportation systems (ITS... 详细信息
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Using convolutional neural network with asymmetrical kernels to predict speed of elevated highway  2nd
Using convolutional neural network with asymmetrical kernels...
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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017
作者: Zang, Di Ling, Jiawei Cheng, Jiujun Tang, Keshuang Li, Xin Department of Computer Science and Technology Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Transportation Information and Control Engineering Tongji University Shanghai China Shanghai Lujie Electronic Technology Co. Ltd. Pudong Shanghai China
In this paper, we present a deep learning based approach to performing the whole-day prediction of the traffic speed for the elevated highway. In order to learn the temporal features of traffic speed data in a hierarc... 详细信息
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Building a Large Scale Wireless Sensor Network for the Industrial Environment  22
Building a Large Scale Wireless Sensor Network for the Indus...
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22nd IEEE International Conference on embedded and Real-Time computing systems and Applications, RTCSA 2016
作者: Yuan, Bo Fu, Chuan Chen, Deji Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China
Real-time wireless sensor networks in the industrial settings usually consist of tens of nodes. Seldom do we see a network of over 100 wireless nodes. The smaller size is usually sufficient as a typical plane unit is ...
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Accelerating large-scale human action recognition with GPU-based spark  17th
Accelerating large-scale human action recognition with GPU-b...
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17th Pacific-Rim Conference on Multimedia, PCM 2016
作者: Wang, Hanli Zheng, Xiaobin Xiao, Bo Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
In this paper, a large-scale human action recognition system is proposed which is built upon the combination of the rising big data processing technology Spark and the powerful Graphics Processing Unit (GPU) in order ... 详细信息
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Behavioral authentication method for mobile gesture against resilient user posture  3
Behavioral authentication method for mobile gesture against ...
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2016 3rd International Conference on systems and Informatics, ICSAI 2016
作者: Liu, Qiang Wang, Mimi Zhao, Peihai Yan, Chungang Ding, Zhijun Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai China
The password pattern has become a widely used mobile authentication method. However, there are still some potential security problems since the passwords are easy to be cracked by some malicious software. An important... 详细信息
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A fault prediction method based on modified Genetic Algorithm using BP neural network algorithm
A fault prediction method based on modified Genetic Algorith...
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2016 IEEE International Conference on systems, Man, and Cybernetics, SMC 2016
作者: Liu, Qing Feng, Zhang Liu, Min Shen, Weiming School of Electronic and Information Engineering Tongji University Shanghai201804 China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China
In order to improve fault forecasting model accuracy of back propagation neural network (BPNN), an improved prediction method of optimized BPNN based on Multilevel Genetic Algorithm (MGA) was proposed. We design new c... 详细信息
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