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IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Tian, Bin Li, Ye Li, Bo Zhu, Fenghua Xiong, Gang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479905300;9781479905294

With the development of urbanization, vehicle violations bring lots of problems for urban traffic. In this paper, we implement an electronic police system based on multiple salient vehicle parts for traffic surveillance. Vehicle is represented by its salient parts and its trajectory is obtained by tracking based on Kalman filter. First of all, multiple salient vehicle parts including the license plate and rear-lamps are localized using their distinctive features. Then vehicle tracking is performed using these parts with a Kalman filter to get vehicle motion trajectories. At last, traffic violations are detected by analyzing the vehicle trajectories and configuring various detection regions. Experiments show that our system is effective and it can achieve real-time performance for real traffic applications.

关键词： Vehicle detection tracking traffic incident detection

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Exploring Opinion Dynamics in Security-Related Microblog Data

Exploring Opinion Dynamics in Security-Related Microblog Dat...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Yuhao Zhang Wenji Mao Daniel Zeng Ning Zhao Xiuguo Bao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ USA Beijing Police Department CNCERT/CC Beijing China

Web social media has become one of the major channels for people to express their opinions, share their feelings and communicate with others. Public opinions often ebb and flow with time due to the occurrence of social events and mutual influence of people on certain topics. The dynamic change of public opinions reflects the evolvement and trend of public attitudes and can facilitate many security-related applications. In this paper, we explore the modeling and detection of opinion dynamics on a specific topic based on textual social media data. We first define three measures to provide a thorough description of opinion dynamics, and identify the key factors that influence opinion changes, namely sentiment, social influence and dynamic factors. We then develop the computational method to capture opinion dynamics in security-related data. A preliminary empirical study is conducted based on the data from Weibo, one of the most popular microblog sites in China. The experimental results show the effectiveness of our method in modeling and predicting opinion dynamics.

关键词： Time measurement Media Logistics Data models Predictive models Learning systems Support vector machines

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PI controller design for Network control system based on minimum entropy control

PI controller design for Network control system based on min...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Xinlan-Guo Tao-Li Hongxia Zhao Mechanical and Electrical Engineering Department Nanjing Communications Institute of Technology Enterprise Custom Department Huawei Nanjing Institute The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

This paper designs PI controller which is easy to operate in an actual random framework for NCS,for nonlinear ARMAX model is difficult to achieve in the practical *** on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS,the iterative learning ideas to batch control system output probability density function,so that the output probability density function of the system with increasing batch tracking a given probability density *** order to achieve the NCS system of tracking error probability density function control,this paper introduces the minimum entropy control algorithm.

关键词： minimum entropy control NCS PI controller.

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Network Formation Games for the Link Selection of Cooperative Localization in Wireless Networks

Network Formation Games for the Link Selection of Cooperativ...

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IEEE International Conference on Communications

作者： Zijun Zhao Rongqing Zhang Xiang Cheng Liuqing Yang Bingli Jiao National Mobile Communications Research Laboratory Southeast University Nanjing China School of Electronics Engineering and Computer Science Peking University Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

Recently, localization has become an indispensable technique for wireless applications. In view of the limitation of global position system (GPS) in certain environments, alternative approaches are in demand. In this paper, we consider a cooperative localization approach named sum-product algorithm over a wireless network (SPAWN). Although SPAWN theoretically facilitates cooperative localization, it has several practical limitations. Specifically, SPAWN results in high computational complexity and increased network traffic. The main complexity of SPAWN lies in the selection of agents/anchors involved in the cooperative localization. To this end, we formulate the agent/anchor selection problem into a network formation game. Together with a practical limit on the number of agents/anchors used for cooperative localization, our proposed approach can markedly reduce the computational complexity and the resultant network traffic. Simulations show that these advantages come with a slight degradation in the localization mean squared error (MSE) performance.

关键词： Games Signal processing algorithms Wireless networks Computational complexity Nickel Signal processing

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On Mobilizing Processes of Cyber Movement Organizations

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IFAC Proceedings Volumes 2014年第3期47卷 9853-9857页

作者： Tao Wang Zhong Liu Kainan Cui Jie Zhang Fei-Yue Wang C.L. Philip Chen College of Information System and Management National University of Defense Technology Changsha 410073 China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing 100190 China The Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China Department of Computer and Information Science Science and Technology University of Macau Macau China

—Cyber Movement Organization (CMO) is a special kind of social movement organization on the Web. In this paper, we propose a model to simulate the mobilizing process of CMO, which consists of the individual unit, organization unit, and the mobilizing mechanisms. The mobilizing mechanisms has three sub-mechanisms: the participation mechanism, the choice mechanism, and the inviting mechanism. A dataset of more than two million “human flesh search” related microblogs is used to validate the model. Empirical results show that our model can capture the key features of the real-world mobilizing process.

关键词： Cyber Movement Organizations (CMO) Social Network Analysis Human Flesh Search (HFS) Simulation Social Movement Organizations Resource Mobilization

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Characterizing emotion entrainment in social media

Characterizing emotion entrainment in social media

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International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Saike He Xiaolong Zheng Xiuguo Bao Hongyuan Ma Daniel Zeng Bo Xu Changliang Li Hongwei Hao State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China CNCERT/CC Beijing China Department of Management Information Systems University of Arizona Tucson AZ USA Institute of Automation Chinese Academy of Sciences Beijing China

The sociological theory of entrainment accounts for the synchronization of human rhythmic modalities through social interactions: they coordinate in a variety of dimensions including linguistic styles, facial expressions, music pace, applause, and so on. Though highly relevant, emotion entrainment has received little attention to date. In addition, most previous studies on entrainment are done through small scale or controlled laboratory studies. In this paper, we investigate emotion entrainment in the context of online social media. To the best of our knowledge, this is the first time that emotion entrainment has been examined on a large scale, real world setting. For this purpose, we propose a framework that can model entrainment phenomenon and measure its effect. Our framework differentiates from previous research by its model-free essential and discerning in entrainment directions. These traits enable us to model entrainment dynamics under few assumptions, and distinguish emotion flow of entrainment. In our studies, we investigate entrainment patterns under different emotion states, i.e. positive, neutral and negative. We discover that entrainments under different emotions all follow a power law distribution. Besides, people are willing to entrain to others under positive emotion, and users with positive emotion are more likely to be entrained. By inspecting the interactions between entrainment and emotion, we reveal that entrainment has an effect of negotiating different emotion types toward an even distribution.

关键词： Entropy Mood Media Blogs Markov processes Conferences Social network services

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Ranking Online Memes in Emergency Events Based on Transfer Entropy

Ranking Online Memes in Emergency Events Based on Transfer E...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Saike He Xiaolong Zheng Xiuguo Bao Hongyuan Ma Daniel Zeng Bo Xu Guanhua Tian Hongwei Hao State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China CNCERT/CC Beijing China Department of Management Information Systems University of Arizona Tucson AZ USA Institute of Automation Chinese Academy of Sciences Beijing China

The rapid proliferation of online social networks has greatly boosted the dissemination and evolution of online memes, which can be free text, trending catchphrase, or micro media. However, this information abundance is exceeding the capability of the public to consume it, especially in unusual situations such as emergency management, intelligence acquisition, and crime analysis. Thus, there calls for a reliable approach to rank meme appropriately according to its influence, which will let the public focus on the most important memes without sinking into the information flood. However, studying meme in any detail on a large scale proves to be challenging. Previous bottom-up approaches are often highly complex, while the more recent top-down network analysis approaches lack detailed modeling for meme dynamics. In this paper, we first present a formal definition for meme ranking task, and then introduce a scheme for meme ranking in the context of online social networks (OSN). To the best of our knowledge, this is the first time that memes have been ranked in a model-free manner. Empirical results on two emergency events indicate that our scheme outperforms several benchmark approaches. This scheme is also robust by insensitive to sample rate. In light of the scheme's fine-grain modeling on meme dynamics, we also reveal two key factors affecting meme influence.

关键词： Entropy Benchmark testing Social network services Robustness Security Media

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Information Disclosure in Real-Time Bidding Advertising Markets

Information Disclosure in Real-Time Bidding Advertising Mark...

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Juanjuan Li Yong Yuan Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Real-time bidding（RTB）advertising is a fast-growing business model in online display advertising *** the guaranteed display advertising,it utilizes programmatic instantaneous auction to price and sell ad inventory on a per-impression *** enbales advertisers to target audiences at demographic,psychographic or behavioral levels across a wide range of *** RTB markets,information about target audiences is usually disclosed to advertisers,while information about publishers（*** ranking,advertising page）are typically not avaliable for advertisers,especially in real-time *** leads to a serious information asymmetry problem in RTB markets,which has significant influence on both advertisers’bidding strategies and publishers’*** this paper,we study the information disclosure strategies of publishers in case when the disclosure may incur an extra *** address this information asymmetry problem by first formulating the RTB auction as an second-price sealed-bid game,then discussing equilibrium information disclosure strategies for publishers and also investigating advertisers’bidding strategies in the three information disclosure cases:all disclosed,non-disclosed,and partially *** find that non-disclosed and partially disclosed strategies may lead to an adverse selection effect,and high-quality publishers will be forced to quit the RTB markets.

关键词： real-time bidding information disclosure asymmetric information adverse selection

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PI controller design for network control system based on minimum entropy control

PI controller design for network control system based on min...

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

作者： Xinlan Guo Tao Li Hongxia Zhao Engineering Department Nanjing Communications Institute of Technology Nanjing Jiangsu Enterprise Custom Department Huawei Nanjing Institute Nanjing Jiangsu The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479960590

This paper designs PI controller which is easy to operate in an actual random framework for NCS, for nonlinear ARMAX model is difficult to achieve in the practical application. Based on the nature of the network control system is a random system and PI controller design is easy to operate in an actual random framework for NCS, the iterative learning ideas to batch control system output probability density function, so that the output probability density function of the system with increasing batch tracking a given probability density function. In order to achieve the NCS system of tracking error probability density function control, this paper introduces the minimum entropy control algorithm.

关键词： Entropy Robustness

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A Survey on Real Time Bidding Advertising

A Survey on Real Time Bidding Advertising

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2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Yong Yuan Feiyue Wang Juanjuan Li Rui Qin The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Real-time bidding(RTB)is an emerging and promising business model for online computational advertising in the age of big *** on analysis of massive amounts of Cookie data generated by Internet users,RTB advertising has the potential of identifying in real-time the characteristic and interest of the target audience in each ad impression,automatically delivering best-matched ads,and optimizing their prices via auction-based programmatic buying *** has significantly changed online advertising,evolving from the traditional pattern of"media buying"and"ad-slot buying"to"targetaudience buying",and is expected to be the standard business model for online advertising in the *** this paper,we discussed the current market practice of RTB advertising,presented the key roles and typical business processes in RTB markets,and summarized the current research progresses in the existing *** aim of this paper is to provide useful reference and guidance for future works.

关键词： real-time bidding computational advertising online advertising big data

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