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International Conference on Multimedia Information Networking and Security (MINES)

作者： Dayong Shen Hui Wang Jianping Cao Pei Li Zhihong Jiang The Research Center of Computational Experiments and Parallel System Technology National University of Defense Technology ChangSha P.R. China National University of Defense Technology Changsha Hunan CN

ISBN: (纸本)9781467330930

With the rapid development of microblog technology, many interesting research issues on microblog have aroused growing attention. Data fetching from microblog is the groundwork of these researches. In this paper we take Sina microblog (also called Weibo) as the crawling site, designing and implementing a high efficient incremental microblog crawler based on the classic multi-producers and multi-consumers model. Experimental results demonstrate that the crawler can collect real time microblog information efficiently and precisely.

关键词： Crawlers Data mining Bandwidth Schedules Engines USA Councils Security

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Blockchain Based Provenance for Agricultural Products: A Distributed Platform with Duplicated and Shared Bookkeeping

Blockchain Based Provenance for Agricultural Products: A Dis...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Hua, Jing Wang, Xiujuan Kang, Mengzhen Wang, Haoyu Wang, Fei-Yue Beijing100190 China Innovation Center for Parallel Agriculture Qingdao Academy of Intelligent Industries Qingdao266000 China Beijing Engineering Research Center of Intelligent Systems and Technology Beijing100190 China Qingdao AgriTech Co. Ltd. Qingdao266000 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781538644522

The provenance (tracing) system of agricultural products is important for ensuring food safety. However, the stakeholders (growers, farmers, sellers etc.) are numerous and physically dispersed, making it difficult to manage data and information with a centralized approach. As a result, the production procedure remains non-transparent and trust is hard to build. In this paper, we propose an agricultural provenance system based on techniques of blockchain, which is featured by decentralization, collective maintenance, consensus trust and reliable data, in order to solve the trust crisis in product supply chain. Recorded information includes the management operations (fertilizing, irrigation, etc.) with certain data structure. Applying blockchain techniques to the provenance of agricultural product not only widens the application domain of blockchain, but also supports building a reliable community among different stakeholders around agriculture production. © 2018 IEEE.

关键词： Blockchain

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An ACP-based framework for occupants safety evacuation under fire in high-rise buildings

An ACP-based framework for occupants safety evacuation under...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Hu, Yu-Ling Wen, Ding Liu, Xi-Wei Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology Beijing 100081 China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture Beijing 100044 China Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781457705731

Because the structure and function of a high-rise building is complex and the density of occupants in it is high, fire safety is still a worldwide difficult problem. Safety and timely evacuation is an important issue under fire in the high-rise buildings. Because it is impossible in fact to do experiments about fire safety evacuation in high-rise buildings, in this paper, a research framework based on the artificial system, computational experiments, and parallel excution (ACP) theory is proposed. First, an evacuation process is considered to compose of two stages including pre-evacuation stage and evacuation stage. Second, artifical men with recognition functions based agent technology is proposed. Finally, computational experiments are designed by using an orthogonal experiment table, and experiment procedure of pre-evacuation stage is given. The idea of systimatic research about the influence of fire control facilities to evacuation is also proposed © 2011 IEEE.

关键词： Fires

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The Chinese ‘‘HumanFlesh’’ Web:the first decade and beyond

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Chinese Science Bulletin 2014年第26期59卷 3352-3361页

作者： Fei-Yue Wang Daniel Zeng Qingpeng Zhang James A. Hendler Jianping Cao The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Management Information Systems The University of Arizona Tucson Department of Systems Engineering and Engineering Management City University of Hong Kong Tetherless World Constellation Department of Computer Science Rensselaer Polytechnic Institute Troy The Research Center for Computational Experiments and Parallel Systems National University of Defense Technology

Human flesh search(HFS), a Web-enabled crowdsourcing phenomenon, originated in China a decade ago. In this article, we present the first comprehensive empirical analysis of HFS, focusing on the scope of HFS activities, the patterns of HFS crowd collaboration process, and the characteristics of HFS participant networks. A survey of HFS participants was conducted to provide an in-depth understanding of the HFS community and various factors that motivate these participants to contribute. This article also advocates a new stream of Web science and social computing research that will be important in predicting the future growth and use of the World Wide Web.

关键词：中国人网址肉 Web功能实证分析参与者共同体万维网

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Guided Crowd Evacuation:Approaches and Challenges

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1081-1094页

作者： Min Zhou Hairong Dong Petros A.Ioannou Yanbo Zhao Fei-Yue Wang the State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China the Department of Electrical Engineering University of Southern CaliforniaLos AngelesCA 90089-2560 USA the Center for Advanced Transportation Technologies University of Southern CaliforniaLos AngelesCA 90089 USA the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the Research Center of Computational Experiments and Parallel Systems the National University of Defense TechnologyChangsha 410073China

Evacuation leaders and/or equipment provide route and exit information for people and guide them to the expected destinations, which could make crowd evacuation more efficient in case of emergency. The purpose of this paper is to provide an overview of recent advances in guided crowd evacuation. Different guided crowd evacuation approaches are classified according to guidance approaches and technologies. A comprehensive analysis and comparison of crowd evacuation with static signage, dynamic signage, trained leader, mobile devices, mobile robot and wireless sensor networks are presented based on a single guidance mode perspective. In addition, the different evacuation guidance systems that use high-tech means such as advanced intelligent monitoring techniques, AI techniques, computer technology and intelligent inducing algorithms are reviewed from a system’s perspective. Future researches in the area of crowd evacuation are also discussed.

关键词： Auxiliary equipment evacuation guidance system (EGS) guided crowd evacuation leader signage

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Exploring Optimal Revenue Models for DSPs in Real Time Bidding Advertising

Exploring Optimal Revenue Models for DSPs in Real Time Biddi...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Qin, Rui Yuan, Yong Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728128535

In RTB advertising, the AdExchange platform (AdX) can be regarded as a bridge connecting the supply side and demand side of advertising, and advertisers buy the ad impressions through the Demand-Side Platforms (DSPs). As such, there is a two-stage auction process for each ad impression, and the first stage is organized by the DSPs, while the second stage is organized by the AdX. In the two-stage auction process, two possible revenue models are available for DSPs, namely commission model and two-stage resale model. In this paper, we first compare the revenues of DSPs under the two models, and then explore the optimal revenue model for a DSP under the condition that the revenue model of other DSPs are given. We also unitize the computational experiments approach to evaluate our proposed method, and our results can help DSPs find their optimal revenue model in RTB advertising. © 2019 IEEE.

关键词： Marketing

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The parallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles

The ParallelEye-CS Dataset: Constructing Artificial Scenes f...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Li, Xuan Wang, Yutong Wang, Kunfeng Yan, Lan Wang, Fei-Yue School of Automation Beijing Institute of Technology Beijing100081 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Innovation Center for Parallel Vision Qingdao Academy of Intelligent Industries Qingdao266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781538644522

Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, we propose to construct artificial scenes for evaluating the visual intelligence of intelligent vehicles and generate a new virtual dataset called 'parallelEye-CS'. First of all, the actual track map data is used to build 3D scene model of Chinese Flagship Intelligent Vehicle Proving center Area, Changshu. Then, the computer graphics and virtual reality technologies are utilized to simulate the virtual testing tasks according to the Chinese Intelligent Vehicles Future Challenge (IVFC) tasks. Furthermore, the Unity3D platform is used to generate accurate ground-truth labels and change environmental conditions. As a result, we present a viable implementation method for constructing artificial scenes for traffic vision research. The experimental results show that our method is able to generate photorealistic virtual datasets with diverse testing tasks. © 2018 IEEE.

关键词： Intelligent vehicle highway systems

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Organizational Management using Software-defined Robots based on Smart Contracts

Organizational Management using Software-defined Robots base...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Ni, Xiaochun Zeng, Shuai Han, Xuan Yuan, Yong Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

ISBN: (纸本)9781538644522

With the rapid development of social media, fast transition of organizational management modes, as well as the increasing security risks caused by human intervention and operations, the existing organizational management systems suffer a severe problem of lowered efficiency and security. This motivates our research. In this paper, we strive to design a new solution to this problem, via instantiating the traditional PDCA cycle theory and using software robots powered by blockchain and smart contracts. In our framework, blockchain and smart contracts can guarantee privacy-protected, traceable, and tamper-resistant data access, and can also help reduce the human intervention. Based on the PDCA cycle theory, we propose the PDCA closed-loop ecological chain on the basis of blockchain. We also validate our work in a real-world scenario, and the results can prove the effectiveness of our model. © 2018 IEEE.

关键词： Smart contract

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An SNR-Adaptive Relaying Algorithm for Multi-Antenna Cooperative Networks

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China Communications 2017年第10期14卷 228-236页

作者： Shuangshuang Han Peng Zhang Feijin Shi Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of SciencesBeijing China Qingdao Academy of Intelligent Industries Qingdao Shandong Province China The School of Computer Engineering Weifang University Shandong P. R. China Communications Headquarters Ministry of Foreign Affairs of the People's Republic of China Beijing China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha China

Multiple-input multiple-output(MIMO) and cooperative communications have been attracted great attention for the improvements of communication capacity, power consumption, and transmission coverage. The conventional fixed relaying protocols, amplify-and-forward(AF) and decode-and-forward(DF), have their own advantages and disadvantages, i.e. AF performs better than DF for low signal-to-noise ratio(SNR) region, while the reverse is true for high SNR region. Therefore, this paper proposes an SNR-adaptive forward(SAF) relaying scheme obtaining the advantages of both AF and DF. Furthermore, the proposed SAF does not need to switch between AF and DF when SNR changes. The main idea is to adaptively derive the soft information at the cooperative relay nodes based on the information of the received signal and the SNR. Besides, based on the theoretical analysis and the simulation results, it is affirmed that the proposed SAF achieves superior performance than both AF and DF for all SNRs. Moreover, the performance gain would be improved with the increasing number of parallel cooperative relay nodes.

关键词： MIMO SNR SNR-adaptive forward multi-antenna

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PDP: parallel Dynamic Programming

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 1-5页

作者： Fei-Yue Wang Jie Zhang Qinglai Wei Xinhu Zheng Li Li IEEE State Key Laboratory of Management and Control for Complex Systems(SKL-MCCS) Institute of AutomationChinese Academy of Sciences(CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Department of Computer Science and Engineering University of Minnesota Department of Automation Tsinghua University

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming ADP is first presented instead of direct dynamic programming DP , and the inherent relationship between ADP and deep reinforcement learning is developed. Next, analytics intelligence, as the necessary requirement, for the real reinforcement learning, is discussed. Finally, the principle of the parallel dynamic programming, which integrates dynamic programming and analytics intelligence, is presented as the future computational intelligence. © 2014 Chinese Association of Automation.

关键词： Artificial intelligence Neural networks Reinforcement learning

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