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检索条件"机构=Key Laboratory of Embedded System and ServIce Computing supported by Ministry of Education"
501 条 记 录,以下是201-210 订阅
排序:
TiEV: The tongji intelligent electric vehicle in the intelligent vehicle future challenge of China
arXiv
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arXiv 2018年
作者: Zhao, Junqiao Ye, Chen Wu, Yan Guan, Linting Cai, Lewen Sun, Lu Yang, Tao He, Xudong Li, Jun Ding, Yongchao Zhang, Xinglian Wang, Xinchen Huang, Jinlin Zhang, Enwei Huang, Yewei Jiang, Wei Zhang, Shaoming Xiong, Lu Feng, Tiantian Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai Department of Computer Science and Technology School of electrics and Information Engineering Tongji University Shanghai School of Surveying and Geo-Informatics Tongji University Shanghai China School of Automotive Studies Tongji University Shanghai China
TiEV is an autonomous driving platform implemented by the Tongji University of China. The vehicle is drive-by-wire and is fully powered by electricity. We devised the software system of TiEV from scratch, which is cap... 详细信息
来源: 评论
A novel visible-infrared image fusion framework for smart city
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International Journal of Simulation and Process Modelling 2018年 第2期13卷 144-155页
作者: Zhu, Zhiqin Qi, Guanqiu Chai, Yi Yin, Hongpeng Sun, Jian School of Automation Chongqing University Chongqing400044 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology College of Automation Chongqing University Chongqing400044 China School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ85287 United States Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing400030 China
Image fusion technology is widely used in different areas and can integrate complementary and relevant information of source images captured by multiple sensors into a unitary synthetic image. Image fusion technology ... 详细信息
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论
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
来源: 评论
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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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 ...
来源: 评论
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
来源: 评论