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21st Workshop on Information Technologies and systems, WITS 2011

作者： Li, Xiarong Zeng, Daniel Dajun Yang, Yanwu State Key Lab. of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences China Management Information Systems Department University of Arizona United States

In this paper, we study the budget-constrained bidding problems in sponsored search. Our findings illustrate that, compared to budget-irrespective bidding, advertisers can obtain equal even better return-on-investment... 详细信息

关键词： Budget control

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Budget allocation in competitive search advertisements

Budget allocation in competitive search advertisements

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21st Workshop on Information Technologies and systems, WITS 2011

作者： Yang, Yanwu Li, Juanjuan Zhang, Jie Zeng, Daniel State Key Lab. of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing 100190 China Department of Management Information Systems University of Arizona United States

This paper proposes a novel budget model based on differential game to deal with budget allocation in competitive search advertisements under a finite time horizon, with consideration of budget constraints. We extend the advertising response function with the dynamical advertising effort u and quality score q to fit search advertising scenarios. We also discuss Nash equilibriums of our model, and study some desirable properties of two kinds of equilibriums in the case with budget constraints: "budget-stable" open-loop Nash equilibrium (BS-OLNE) and "budget-unstable" open-loop Nash equilibrium (BUS-OLNE). We have evaluated our budget model and identified properties with computational experiments. Experimental results show that budget strategies with dynamical advertising elasticity are superior to those with fixed one and our findings on OLNEs are helpful for advertisers to make budget decisions.

关键词： Marketing

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Polarity shifting: Corpus construction and analysis

Polarity shifting: Corpus construction and analysis

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2011 International Conference on Asian Language Processing, IALP 2011

作者： Zhang, Xiaoqian Li, Shoushan Zhou, Guodong Zhao, Hongxia Natural Language Processing Lab. Soochow University Suzhou China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545547

Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting. © 2011 IEEE.

关键词： corpus annotation polarity shifting sentiment classification

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Toward Digital Asset Protection

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IEEE INTELLIGENT systemS 2011年第6期26卷 8-13页

作者： Collberg, Christian Davidson, Jack Giacobazzi, Roberto Gu, Yuan Xiang Herzberg, Amir Wang, Fei-Yue Univ Arizona Tucson AZ 85721 USA Univ Virginia Charlottesville VA 22903 USA Univ Verona I-37100 Verona Italy Bar Ilan Univ IL-52100 Ramat Gan Israel Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China

The goal of software protection (SP) research is to make software safe from malicious attacks by preventing adversaries from tampering, reverse engineering, and illegally redistributing software. The Digital Asset Protection Association (DAPA) was launched in July 2011 to address the challenges of such attacks and SP research in general. As DAPA activities and efforts get underway, the ultimate goal is to establish standards and baseline definitions for SP research and to promote coordinated, open efforts among academia and industry.

关键词： Intelligent systems Software Protection Malicious Attacks Digital Asset Protection Cryptography Digital Asset Protection Association Man At The End MATE Attacks Computer Security

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Agent Recommendation for Agent-Based Urban-Transportation systems

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IEEE INTELLIGENT systemS 2011年第6期26卷 77-81页

作者： Chen, Cheng Li, Shuang Shuang Chen, Bo Wen, Ding Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China Michigan Technol Univ Dept Mech Engn Engn Mech Houghton MI 49931 USA Michigan Technol Univ Dept Elect & Comp Engn Houghton MI 49931 USA

Mobile-agent technology has been adopted in many transportation fields to take advantages of different agents to deal with dynamic changes and uncertainty in traffic environments. However, few research studies have been conducted in urban-transportation systems on decision making about what kind of agents to be used in coping with a specific traffic states. With the increasing availability of control and service agents for agent-based urban-transportation systems, an agent recommendation system is necessary to manage and select those agents so original objectives can be fulfilled. In this article, the authors address issues related to the creation of such a platform.

关键词： Intelligent Transportation systems Intelligent systems Mobile Agent Agent Recommendation Agent Based Urban Transportation systems

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Optimal budget allocation across search advertising markets

Optimal budget allocation across search advertising markets

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21st Workshop on Information Technologies and systems, WITS 2011

作者： Yang, Yanwu Zhang, Jie Liu, Baiyu Zeng, Daniel State Key Lab. of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing 100190 China School of Mathematics and Physics University of Science and Technology Beijing China Department of Management Information Systems University of Arizona United States

How to rationally allocate the limited advertising budget is a critical issue in search auctions. However, due to the heterogeneousness of major search markets in terms of auction mechanisms, ranking algorithms and advertising structures, it is becoming increasingly difficult for an advertiser to manipulate advertising budget simultaneously across several search markets. In this paper, we establish a novel optimal budget allocation model across search advertising markets, under a finite time horizon. By considering distinctive features of search auctions, we introduce the quality score q and the dynamic advertising effort u to extend the advertising response function to fit budget decision scenarios. We also provide a feasible solution to our model and study some desirable properties: (a) the marginal return is non-increasing with respect to the advertising budget;(b) the optimal budget solution satisfies the condition that the advertising effort u is positively proportional to the product of the change of accumulated revenue in a market ∂V, the change of market share ∂ θ and the advertising elasticity α. Computational experiments are made to evaluate our model and identified properties. Experimental results show that the advertiser with increasing advertising elasticity is suggested to invest more budget in the late stages, but the advertiser with decreasing advertising elasticity should invest more budget in the initial stage, in order to maximize net profits.

关键词： Marketing

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Fast double-parallel image processing based on FPGA

Fast double-parallel image processing based on FPGA

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IEEE International Conference on Vehicular Electronics and Safety

作者： Li, Ye Yao, Qingming Tian, Bin Xu, Wencong State Key Lab. of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Mechanical Electrical and Information Engineering Shandong University Weihai 264209 China

ISBN: (纸本)9781457705762

Due to FPGA's flexibility and parallelism, it is popular for accelerating image processing. In this paper, a double-parallel architecture based on FPGA has been exploited to speed up median filter and edge detection tasks, which are essential steps during image processing. The double-parallel scheme includes an image-level parallel and an operation-level parallel. The image-level parallel is a high-level parallel which divides one image into different parts and processes them concurrently. The operation-level parallel, which is embedded in each image-level parallel thread, fully explores every parallel part inside the concrete algorithms. The corresponding design is based on a DE2 Development Board which contains a CYCLONE II FPGA device. Meanwhile, the same task has also been implemented on PC and DSP for performance comparison. Despite the fact that operating frequencies of used PC and DSP are much higher than FPGA's, FPGA costs less time per computed image than both of them. By taking advantage of the double-parallel technique, the speed/frequency ratio of FPGA is 202 times faster than PC and 147 times faster than DSP. Finally, a detailed discussion about different platforms is conducted, which analyzes advantages and disadvantages of used computing platforms. This paper reveals that the proposed double-parallel scheme can dramatically speed up image processing methods even on a low-cost FPGA platform with low frequency and limited resources, which is very meaningful for practical applications. © 2011 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Dynamic budget adjustment in search auctions

Dynamic budget adjustment in search auctions

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21st Workshop on Information Technologies and systems, WITS 2011

作者： Zhang, Jie Yang, Yanwu Qin, Rui Zeng, Daniel Li, Xin State Key Lab. of Intelligent Control and Management of Complex Systems Chinese Academy of Sciences Beijing 100190 China Department of Management Information Systems University of Arizona United States Department of Information Systems City University of Hong Kong Kowloon Tong Hong Kong

With serious advertising budget constraints, advertisers have to adjust their daily budget according to the performance of advertisements in real time. Thus we can leave precious budgets to better opportunities in the future, and avoid the surge of ineffective clicks for unnecessary costs. However, advertisers usually have no sufficient knowledge and time for real-time advertising operations in search auctions. We formulate the budget adjustment problem as a state-action decision process in the reinforcement learning (RL) framework. Considering dynamics of marketing environments and some distinctive features of search auctions, we extend continuous reinforcement learning to fit the budget decision scenarios. The market utility is defined as discounted total clicks to get during the remaining period of an advertising schedule. We conduct experiments to validate and evaluate our strategy of budget adjustment with real world data from search advertising campaigns. Experimental results showed that our strategy outperforms the two other baseline strategies.

关键词： Marketing

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Special Section on Data-Based control, Modeling, and Optimization

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IEEE TRANSACTIONS ON NEURAL NETWORKS 2011年第12期22卷 2150-2153页

作者： Chai, Tianyou Hou, Zhongsheng Lewis, Frank L. Hussain, Amir Zhao, Dongbin Northeastern Univ State Key Lab Synthet Automat Proc Ind Natl Engn & Technol Res Ctr Met Automat Shenyang 110004 Peoples R China Beijing Jiaotong Univ Dept Automat Control Beijing 100044 Peoples R China Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA Univ Stirling Fac Comp Sci Stirling FK9 4LA Scotland Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100089 Peoples R China

The 21 papers in this special section focus on data-based control, modeling, and optimization.

关键词： Special issues and sections Optimization Process control Modeling

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Motion vehicles tracking in intelligent transportation visual surveillance systems

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 216-222页

作者： Wu, Lin-Feng Xiong, Gang Qian, Shou-Yi Xie, Li Zhejiang Provincial Key Lab. of Information Network Technology Department of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Cloud Computing Industrial Technology Innovation and Incubation Center Dongguan Research Institute of CASIA Chinese Academy of Sciences Dongguan 523808 China Wenzhou Research Institute of Electronics and Information Wenzhou 325003 China

In terms of the difficulty of vehicle tracking in complex environment of the visual surveillance system, an object tracking algorithm is proposed for the applications in practical visual surveillance systems for intelligent traffic. A block-based Gaussian mixture background modeling method for object detection is presented to reduce the computational complexity of moving vehicle object abstraction. An adaptive tracking algorithm fused with color features and texture features is described to better adapt the traffic scene variation. The experimental results show that the proposed algorithm can effectively deal with the complex urban traffic conditions and the tracking performance is better than the conventional particle filter method and single feature based non-adaptive object tracking method.

关键词： Tracking (position)

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