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

作者： Rui Qin Yong Yuan Fei-Yue Wang Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

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.

关键词： computational modeling Advertising Real-time systems Data models Automation Industries Bridges

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A decentralized social networking architecture enhanced by blockchain

A decentralized social networking architecture enhanced by b...

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

作者： Shuai Zeng Yong Yuan Fei-Yue Wang Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

The privacy issues become a major problem that should be resolved for the existing centralized online social networks, which have prompted researchers to consider the decentralization framework for online social networks. In this paper, we propose a novel decentralized social networking architecture enhanced by blockchain technology. We use a sharding framework to increase the system scalability, a blockchain system to ensure the data integrity and consistency, a reputation-based authority control method to improve the system security.

关键词： Blockchain Social networking (online) Peer-to-peer computing Privacy Scalability Security Computer architecture

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Exploring Optimal Frequency Caps in Real Time Bidding Advertising

Exploring Optimal Frequency Caps in Real Time Bidding Advert...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

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

ISBN: (纸本)9781509039371

Benefited from the high-speed development of Internet and the popularization of big data technology, Real Time Bidding (RTB) emerged and developed quickly, and has become one of the most important and popular model for online computational advertising. In the pay-per-impression based RTB advertising, frequency capping is undoubtedly one of the most crucial issues faced by advertisers and Demand Side Platforms (DSPs), since there are generally vast amount of ad requests in RTB markets, among which many may be triggered by the same target audience. As such, choosing the optimal frequency cap considering all the advertisers becomes a critical issue faced by DSPs. Considering that displaying one advertisement multiple number of times to the same user will diminish the advertising effect, we introduce the concept of discount factor and establish an optimization model of frequency capping to seek for the optimal frequency cap for each advertiser. We also design some experiments to validate our proposed model by utilizing the computational experiment approach, and the experimental results show that the optimal frequency cap can be influenced by the values of the discount factors, and higher value of the discount factor can deduce the advertising effect of larger frequency cap. Moreover, when the discount factors of the advertisers take different values, there also exists an optimal frequency cap, at which the advertisers can get the expected maximum revenue in the long run.

关键词： Advertising Digital signal processing computational modeling Big data Time-frequency analysis Radio spectrum management Real-time systems

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Optimizing Market Segmentation Granularity in RTB Advertising: A computational experimental Study

Optimizing Market Segmentation Granularity in RTB Advertisin...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

ISBN: (纸本)9781509039371

Real Time Bidding (RTB) is a novel business model of online computational advertising with the integration of Internet economy and big data analysis. It can help advertisers achieve the precision marketing through the market segmentation strategies of Demand Side Platforms (DSPs). Based on a mathematical programming approach, this paper studied DSPs' strategies for market segmentation, and established a selection model of the granularity for segmenting RTB advertising markets. We proposed to validate our model using the computational experiment approach, and the experimental results show that: 1) with the increasing refinement of the market segmentation granularity, the total revenue has a tendency of a rise first followed by a decline, 2) the optimal granularity of market segmentation will be significantly influenced by the number of advertisers on the DSP, but less influenced by the number of ad requests. Our findings show the crucial role of market segmentation on the RTB advertising effect, and indicate that the DSPs should adjust their market segmentation strategies according to their total number of advertisers. Our findings also highlight the importance of advertisers as well as the characteristics of the target audiences in DSPs' market segmentation decisions.

关键词： Digital signal processing computational modeling Advertising Numerical models Big data Complex systems Automation

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

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

关键词： Fires computational modeling Buildings

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Erratum: Analysis of opinion spreading in homogeneous networks with signed relationships

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Journal of Statistical Mechanics: Theory and experiment 2012年第10期2012卷

作者： Pengyi Fan Hui Wang Pei Li Wei Li Zhihong Jiang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha 410073 People's Republic of China

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