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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231-240 订阅
排序:
Synchronization of Multi-Weighted and Directed Network Under Pinning Impulsive Control
Synchronization of Multi-Weighted and Directed Network Under...
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Chinese Automation Congress (CAC)
作者: Xiaohan Hu Xiwei Liu Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China
In this paper, multi-weighted and directed complex dynamic networks (MWDCDNs) under the control of hybrid impulses are analyzed. Two cases are considered. In the first case, impulses can be only applied on one fixed n... 详细信息
来源: 评论
Information Security Evaluation by Information Flow Analysis Based on Stochastic Petri Nets
Information Security Evaluation by Information Flow Analysis...
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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024
作者: Tu, Hanqian Xiang, Dongming Lin, Wang Liu, Guanjun Zhejiang Sci-Tech University Department of Computer Science and Technology Hangzhou310018 China Shanghai Electronic Transactions and Information Service Collaborative Innovation Center Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Computer Science Shanghai201804 China
The Petri-net-based information flow analysis offers an effective approach for detecting information leakage by the concept of non-interference. Although the related studies propose efficient solutions, they lack quan... 详细信息
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Effectively compressing Near-Duplicate Videos in a joint way
Effectively compressing Near-Duplicate Videos in a joint way
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Hanli Wang Ming Ma Tao Tian Key Laboratory of Embedded System and Service Computing Tongji University Shanghai P. R. China
With the increasing popularity of social network, more and more people tend to store and transmit information in visual format, such as image and video. However, the cost of this convenience brings about a shock to tr... 详细信息
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Finite time cluster consensus of fractional-order multi-agent systems with directed topology
Finite time cluster consensus of fractional-order multi-agen...
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第33届中国控制与决策会议
作者: Weijin Liu Xiwei Liu Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education
In this paper,the finite time cluster consensus(FnTCC) of fractional-order multi-agent systems(FOMAS)with directed topology is *** fractional-order system is converted into an integer-order system by defining a neighb... 详细信息
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Incremental Sensor Node Deployment for Low Cost and Highly Available WSNs
Incremental Sensor Node Deployment for Low Cost and Highly A...
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International Conference on Mobile Ad-hoc and Sensor Networks, MSN
作者: Safwan Al-Omari Weisong Shi Jordan University of Science and Technology Jordan Key Laboratory of Embedded System and Service Computing University of Tongji China
We attack the sensor network deployment problem. We define the deployment problem as the problem of deciding how many sensor nodes should be deployed in the sensor field over how many phases during its lifetime. We ta... 详细信息
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Automatic Web service composition based on Horn clauses and Petri nets
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Expert systems with Applications 2011年 第10期38卷 13024-13031页
作者: Tang, Xianfei Jiang, Changjun Zhou, Mengchu Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States
This paper introduces an automatic Web service composition method based on logical inference of Horn clauses and Petri nets. The Web service composition problem is transformed into the logical inference problem of Hor... 详细信息
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Process-aware service composition based on Petri net
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Journal of Harbin Institute of Technology (New Series) 2008年 第SUPPL.期15卷 162-166页
作者: Sun, Ping Li, Xiangmei Department of Computer Science and Engineering Tongji University Shanghai 201804 China Embedded System and Service Computing Key Laboratory Shanghai 201804 China
One of the most promising advantages of Web service technology is the possibility of creating value-added services by combining existing ones. A major challenge is how to discover and select concrete service according... 详细信息
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Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting
Spatial-Temporal Dynamic Graph Diffusion Convolutional Netwo...
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IEEE International Conference on Big Data
作者: Yang Li Yaying Zhang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai Artificial Intelligence Laboratory Shanghai China
Traffic forecasting plays a crucial role in intelligent transportation systems and finds application in various domains. Accurate traffic forecasting remains challenging due to the time-varying correlations within the...
来源: 评论
A Cloudedge-Combined Data Placement Strategy Based on User Access Regions  6
A Cloudedge-Combined Data Placement Strategy Based on User A...
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6th International Conference on Big Data and Information Analytics, BigDIA 2020
作者: Cao, Eryang Wang, Pengwei Yan, Chungang Jiang, Changjun Department of Computer Science and Technology Tongji University Shanghai200092 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China School of Computer Science and Technology Donghua University Shanghai201620 China
To improve the availability of data in the cloud and avoid vendor lock-in risk, multi-cloud storage is attracting more and more attentions. However, accessing data from the cloud usually has some disadvantages such as... 详细信息
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General-to-Specialized Analysis Based on Deep Belief Network
General-to-Specialized Analysis Based on Deep Belief Network
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Asian Conference on Pattern Recognition (ACPR)
作者: Renjie Hu Lianghua He Yuqin Wang D. Hu Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China Key Laboratory of EMW Information Fudan University Shanghai CN
Recently, the deep neural network has achieved great performance in many areas. During analysis, all learned features are used at once, some of which could bring negative affect to specific classes. Recently, cognitiv... 详细信息
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