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作者： Wang, Fie-Yue State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing100190 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China Qingdao Academy of Intelligent Industries Qingdao266109 China

The first issue of IEEE Intelligent Transportation systems Society (ITSS) starts with survey papers on technology and security for intelligent vehicles. The first paper titled 'Intra-Vehicle Networks: A Review' by S. Tuohy, M. Glavin, C. Hughes, E. Jones, M. Trivedi, and L. Kilmartin presents a comprehensive overview of current research on advanced intra-vehicle networks and identifies outstanding research questions for the future. J. Petit and S. E. Shladover's paper, 'Potential Cyberattacks on Automated Vehicles' analyzes the threats on autonomous automated vehicle and cooperative automated vehicle. 'A Video-Analysis-Based Railway-Road System for Detecting Hazard Situations at Level Crossings' by H. Salmane, L. Khoudour, and Y. Ruichek explores the possibility of implementing a smart video surveillance security system that is tuned toward detecting and evaluating abnormal situations induced by users in level crossing. 'Traffic Flow Prediction for Road Transportation Networks with Limited Traffic Data' by A. Abadi, T. Rajabioun, and P. A. Ioannou, uses a dynamic traffic simulator to generate flows in all links using available traffic information, estimated demand, and historical traffic data available from links equipped with sensors. The paper titled 'GNSS Multipath and Jamming Mitigation Using High-Mask-Angle Antennas and Multiple Constellations' studies the optimal antenna mask angle that maximizes the suppression of interference but still maintains the performance of a single constellation with a low-mask-angle antenna.

关键词： Antennas

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Heterogeneous individual-based epidemic models via matrix equations

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IEEE/CAA Journal of Automatica Sinica 2023年 1-12页

作者： Duan, Wei Qiu, Xiaogang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha 410073 China

Heterogeneity in human societies plays an important role in epidemic spreading process. Compared to differential equation models, individual-based epidemic models have the advantage of providing a more detailed depiction of realities to capture heterogeneity across a population. However, the higher granularity and resolution of individual-based models come with the cost of increased computational complexities, which result in difficulty in formulating individual-based models usingmathematics. Moreover, a great effort is needed to understand existing individual-based epidemic models that are presented by previous researches. In this paper, we realize the mathematical formulation of heterogeneous individual-based epidemic models by using matrix equations. We employ matrices and vectors to represent individual attributes and behaviors, derive analytical results from the matrix-based representation of individuals, and design algorithms to derivethe computation of individual-based epidemic models. At last, we study the effect of non-pharmaceutical interventions on epidemic outbreaks by using heterogeneous individual-based epidemic models via matrix equations, including contact tracing and workplace closing. IEEE

关键词： Random processes

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Relaying Strategy Based on Estimated Information for Multi-Antenna Cooperative Networks

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China Communications 2017年第8期14卷 157-165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 SciencesBeijingChina and Qingdao Academy of Intelligent Industries School of Computer Engineering Weifang University Communications Headquarters Ministry of Foreign Affairs of the People's Republic of China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina and Research Center of Computational Experiments and Parallel SystemsThe National University of Defense Technology

A sphere-based list forwarding scheme for multiple-input multiple-output(MIMO) relay networks is proposed and analyzed. Firstly, an estimate forwarding(EF) method is proposed, which forwards the minimum mean squared error(MMSE) estimate of the source data to the destination. Since it performs like amplify-and-forward(AF) and decode-and-forward(DF) for the low and high signal-to-noise ratio(SNR) regions, respectively, the EF relay thus outperforms conventional AF and DF across all SNRs without the need for switching algorithms for different SNRs. Because computational complexity is however high for relays with a large number of antennas(large MIMO) and/or high order constellations, list EF for large MIMO relay networks is proposed. It computes a list sphere decoder based MMSE estimate and retains the advantages of the exact EF relay at a negligible performance loss. The proposed list EF could offer a flexible trade-off between the performance and computational complexity.

关键词： MIMO system cooperative network soft information

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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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Characterizing top user behavior of Sina microblogging in the context of different events

Characterizing top user behavior of Sina microblogging in th...

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2012 International Conference on Computing, Networking and Communications, ICNC'12

作者： Zhang, Yubao Wang, Hui Jiang, Zhihong Li, Pei Research Center of Computational Experiment and Parallel System Technology National University of Defense Technology China College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781467300094

Extremely popular and commonly adopted microblogging service is not only a new form of communication, but also seen as a place for "fueling" viral marketing. Due to essential openness and growing ubiquity, microblogsphere offers ways to manipulate the trending topics, through arranging a number of "messengers" who send messages and make a push on maximizing influence propagation. In this paper, we present an initial study on quantifying and characterizing the events referring to viral campaigns launched in microblogsphere. Our study is based on two independent data sets, one corresponds to an event referring to viral campaign and the other can be considered as not planned. We examine collectively dynamic response of the event referring to viral campaign, in comparison with the event not planed. We find the event referring to viral campaign exhibits different evolving pattern from the other event. Top users with extremely high yield of microblogs in the event referring to viral campaign has been proven to account for the exceptional pattern of dynamic response. We further investigate the individual dynamic response and calculate the centrality of top users for quantitative characterization of these users. This work aims to suggest insights into the evolving of events referring to the viral campaign launched in microblogsphere and the behavior pattern of top users in these events who may dominate the event evolving. © 2012 IEEE.

关键词： Dynamic response

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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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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Chao Gao Xin Zhang Liang Zheng Hui Wang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

Social multimedia content had an unprecedented increasing trend in recent years, and receiving a number of research attentions. Images, an exceedingly expressive form of social multimedia, can be widely seen in news report for social emergency. Among the vast number of images for social emergency are many repurposed images, that is, variants not interpreted as what the original images express. Such repurposed images appear in many online pages and may mislead the public. This make it being an interesting and challenging task to identify whether an image is repurposed. We propose a novel framework, called SOFC, to identify the repurposed images. A SIFT-based identical parts finding algorithm is used to find and align all potential identical blocks in the repurposed images and the original images. We then compute the similarity of the potential identical blocks by implementing an object-based likelihood measuring algorithm, to determine whether these blocks are identical in the two images. Finally, the effectiveness of the proposed identification method is validated by experiments on a image set of real social emergency.

关键词： Bismuth Image resolution Object recognition

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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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Behavioral Management for Employees based on Blockchain and Smart Contracts

Behavioral Management for Employees based on Blockchain and ...

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

作者： Ni, Xiaochun 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)9781728128535

With the continuing innovation of information and network technologies, on the one hand, social media has gradually become a necessary tool for internal communication within the organization, resulting in great changes in the behavioral patterns of employees;on the other hand, emerging technologies such as blockchain and smart contracts have enlightened many outstanding issues in organizational management, such as opaque data, tamable information and incomplete execution. Responding to the impact of new media on organizational management model, combined with the emerging technologies - blockchain and smart contracts, this paper aims to explore the behavioral management model of employees for trusted data within virtual cyberspace. It is devoted to the description modeling of employees' behavior and the guidance of employees' behavior based on smart contracts. We also validate our proposed method in a real-world scenario, and the experimental results prove our analysis, as well as the effectiveness of our approach. This paper is a basic research in the new application field, and is expected to offer helpful guidance and reference for future research efforts and industrial applications. © 2019 IEEE.

关键词： Smart contract

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