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Vehicle License Plate Recognition Based on Class-specific ERs and Sa E-ELM

Vehicle License Plate Recognition Based on Class-specific ER...

17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Chao Gou Kunfeng Wang Bo Li Fei-yue Wang Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

In this paper,an effective approach to vehicle license plate recognition based on Extremal Regions(ERs) and Self-adaptive Evolutionary Extreme Learning Machine(Sa EELM) is *** the license plate detection step,some computations including morphological operations,various filters,different contours and validations are sequentially performed to extract some image regions as candidate license ***,accurate character segmentation is achieved through a proper selection of *** the character recognition step,the HOG(histogram of oriented gradients) feature vector in each character region is extracted,and then the characters are recognized using an offline trained pattern classifier of Sa *** results show that our approach works quite well in complex traffic environments.

关键词： image Vehicle License Plate Recognition Based on Class-specific ERs and Sa E-ELM License

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Visual Vehicle Tracking Based on Conditional Random Fields

Visual Vehicle Tracking Based on Conditional Random Fields

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Yuqiang Liu Kunfeng Wang Fei-Yue Wang Qingdao Academy of Intelligent Industries The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

This paper proposes an approach to moving vehicle tracking in surveillance videos based on conditional random fields(CRF).The key idea is to integrate a variety of relevant knowledge about vehicle tracking into a uniform probabilistic framework by using the CRF *** this work,the CRF model integrates spatial and temporal contextual information of vehicle motion,and the appearance information of the *** approximate inference algorithm,loopy belief propagation,is used to recursively estimate the vehicle region from the history of observed ***,the background model is updated adaptively to cope with non-stationary background *** results show that the proposed approach is able to accurately track moving vehicles in monocular image ***,region-level tracking realizes precise localization of vehicles.

关键词： Vehicle tracking,conditional random fields,region-level tracking

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Information Disclosure in Real-Time Bidding Advertising Markets

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

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

作者： Li, Juanjuan Yuan, Yong Qin, Rui Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100190 Peoples R China

ISBN: (纸本)9781479960583

Real-time bidding (RTB) advertising is a fast-growing business model in online display advertising markets. Unlike the guaranteed display advertising, it utilizes programmatic instantaneous auction to price and sell ad inventory on a per-impression basis. RTB en bales advertisers to target audiences at demographic, psychographic or behavioral levels across a wide range of websites. In RTB markets, information about target audiences is usually disclosed to advertisers, while information about publishers (e.g. website ranking, advertising page) are typically not avaliable for advertisers, especially in real-time setting. This leads to a serious information asymmetry problem in RTB markets, which has significant influence on both advertisers' bidding strategies and publishers' revenues. In this paper, we study the information disclosure strategies of publishers in case when the disclosure may incur an extra cost. We 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 disclosed. We 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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A Stochastic Model for Budget Distribution over Time in Search Advertisements

A Stochastic Model for Budget Distribution over Time in Sear...

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

作者： Qin, Rui Yuan, Yong Li, Juanjuan Yang, Yanwu Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol Beijing Peoples R China Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Peoples R China

ISBN: (纸本)9781479960583

In search advertisements, advertisers have to seek for an effective allocation strategy to distribute the limited budget over a series of sequential temporal slots (e.g., days). However, advertisers usually have no sufficient knowledge to determine the optimal budget for each temporal slot, because there exist much uncertainty in search advertising markets. In this paper, we present a stochastic model for budget distribution over a series of sequential temporal slots under a finite time horizon, assuming that the best budget is a random variable. We study some properties and feasible solutions for our model, taking the best budget being characterized by either normal distribution or uniform distribution, respectively. Furthermore, we also make some experiments to evaluate our model and identify strategies with the real-world data collected from practical advertising campaigns. Experimental results show that a) our strategies outperform the baseline strategy that is commonly used in practice;b) the optimal budget is more likely to be normally distributed than uniformly distributed.

关键词： search advertisement budget distribution optimal budget stochastic programming budget constraint

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Using Web Data to Enhance Traffic Situation Awareness 17

Using Web Data to Enhance Traffic Situation Awareness

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IEEE 17th International Conference on intelligent Transportation systems (ITSC)

作者： Wang, Xiao Zeng, Ke Zhao, Xue-Liang Wang, Fei-Yue Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710000 Peoples R China

ISBN: (纸本)9781479960781

With the ubiquity of mobile communication devices, people experiencing traffic jams share real-time information and interact with each other on social media sites, which provide new channels to monitor, estimate and manage traffic flows. In this paper, we use natural language processing and data mining technologies to extract traffic jam related information from ***, analyze the content of people's talk to discover the "talking point" of people when facing traffic jams, and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

关键词： Traffic congestion

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Using Web Data to Enhance Traffic Situation Awareness

Using Web Data to Enhance Traffic Situation Awareness

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Xiao Wang Ke Zeng Xue-Liang Zhao Fei-Yue Wang Qingdao Academy of Intelligent Industries State Key Lab of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences school of electronic and information engineering Xi’an Jiaotong University

With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and manage traffic *** this paper,we use natural language processing and data mining technologies to extract traffic jam related information from ***,analyze the content of people’s talk to discover the "talking point" of people when facing traffic jams,and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.

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A Social Choice Force Model for Estimating Collective Action Manipulation

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IFAC Proceedings Volumes 2014年第3期47卷 9847-9852页

作者： Jie Zhang Shuai Zeng Wenli Liu Tao Wang Fei-Yue Wang C. L. Philip Chen The State Key Lab of Management and Control for Complex Systems CASIA Beijing 100190 China National University of Defense Technology Hunan 410073 China University of Macau Macau China

For e-commerce websites collective actions have significant influence on the behaviors and decisions of individual customers. In this work, we propose a dynamic utility model for customers in e-commerce by considering a “social choice force” (SCF) effect on utility functions of agents. We apply the Artificial societies, Computational experiments, and Parallel execution (ACP) approach to investigate the short-term efforts of collective action manipulation. Experimental results show that the proposed agent model and algorithm outperform the baseline prediction algorithm and illustrate the effect of collective action manipulation in a group buying directory website.

关键词： Cyber Space Collective Actions E-Commerce Agent Modeling Manipulation Neural Networks

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Social Manufacture Cloud Mode in High-end Apparel, Footwear and Hats 11

Social Manufacture Cloud Mode in High-end Apparel, Footwear ...

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11th World Congress on intelligent control and Automation

作者： Shang, Xiuqing Su, Baoli Liu, Xiwei Xiong, Gang You, Zengbo Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Res Inst CASIA Dongguan Guangdong Peoples R China Beijing Engn Res Ctr Intelligent Syst & Technol Beijing Peoples R China

ISBN: (纸本)9781479958252

This paper expounds the high-end apparel footwear and hats manufacture industry society mode of cloud services, achieve consumers actively participate in the high-end apparel, footwear and hats industry of mass customization services. Through social production theory and the combination of cloud computing services, use many kinds of 3D technology, new process technology of cooperative management, e-commerce, logistics and wisdom dynamic value chain analysis and so on the many kinds of technologies, constructed with size and cost of mass production, customization of new clothing, footwear and hats business model, and implements all participate in the design, all involved in manufacture, and everyone involved for "a new type of manufacture and service mode, will effectively drive the transformation and upgrading of industries, and bring new economic growth.

关键词： High-end Social Manufacture Cloud Model Collab.ration management Dynamic Value Chain

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A Model-based Demand-balance control for complex Urban traffic Networks

A Model-based Demand-balance Control for Complex Urban traff...

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17th International IEEE Conference on intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Shu Lin Qing-Jie Kong School of Computer and Control Engineering University of Chinese Academy of Sciences Qingdao Academy of Intelligent Industries the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

Traffic control is an effective and efficient method for the problem of traffic *** complex urban traffic networks,it is necessary to design a high-level controller to regulate the traffic *** the parallel control framework for complex traffic networks,we design a demand-balance MPC controller based on the MFD-based multi-subnetwork model,which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the *** transferring traffic flows among subnetworks are indirectly controlled by the demand-balance MPC controller,and a global optimality can be achieved for the entire traffic *** simulation results show the effectiveness of the proposed controller in improving the network traffic throughput.

关键词： A Model-based Demand-balance control for complex Urban traffic Networks MFD Model

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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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