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5th International Conference on Natural Computation, ICNC 2009

作者： Zhang, Degan Lin, Chen Li, Nqing Zhao, Dexin Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537368

A new kind of neural-based market prediction computing approach for electronic commerce has beenpresented by our research group in this paper. Our purpose is to suggest a successful and efficient prediction method of risk assessment for the clients to get substantial profits in competitive commerce markets of electronic commerce. In this paper we study the benefits of combining two layered feedforward neural networks trained by back propagation on an identical data set. In this case, network diversity was achieved by the inherent randomness associated with the back-propagation algorithm's initialization of a network's weights. By case experiments of risk assessment of electronic commerce, our technique has been tested effectively. © 2009 IEEE.

关键词： Electronic commerce

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The detection of IRC botnet based on abnormal behavior

The detection of IRC botnet based on abnormal behavior

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2010 2nd International Conference on MultiMedia and Information technology, MMIT 2010

作者： Zilong, Wang Jinsong, Wang Wenyi, Huang Chengyi, Xia Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769540085

Botnet is one of the major security threats to Internet. In this paper, botnet communication and attack patterns were introduced, and the discovery method of botnet based on abnormal behavior was studied. For the current botnet, mainly based on IRC protocol, an automatic identification system is designed to help analyze and dispose botnet effectively. © 2010 IEEE.

关键词： Network security

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Dynamic parameters Ant Colony Algorithm with particle swarm characteristic

Dynamic parameters Ant Colony Algorithm with particle swarm ...

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5th International Conference on Natural Computation, ICNC 2009

作者： Zhang, Hong-Juan Ning, Hong-Yun Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300191 China

ISBN: (纸本)9780769537368

To improve the convergence time of Ant Colony Algorithm, avoid falling in local best and enhance the quality of solution, a novel dynamic parameters ant colony algorithm with particle swarm characteristics is proposed. Learning the multi-information instruction characteristic of Particle Swarm Optimization Algorithm, the global pheromone update rule with particle swarm characteristic is introduced to improve the directive function of pheromone and the speed of convergence. At the same time, solution multiplicity is guaranteed as far as possible. Using the function of current condition to update particle speed and position, parameters of Ant Colony Algorithm is used to reflect the current condition. Hyperbola Tangent function is imported to dynamic adjust parameters so that the relation between local search and global search could be balanced. Comparing with basic Ant Colony Algorithm, the simulation result on TSP shows that new algorithm has higher convergence speed and better solution. © 2009 IEEE.

关键词： Particle swarm optimization (PSO)

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Novel synthesis method for image of materials texture

Novel synthesis method for image of materials texture

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2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Peng, Hong-Tao Zhang, De-Gan Song, Xiao-Dong Wang, Xiang Department of Computer CNPC Managers Training Institute Beijing China Tianjin Key Lab of Intelligent Computing and Novel software Technology Tianjin University of Technology China Ministry of Education China

ISBN: (纸本)9783038353287

Most patch-based texture synthesis algorithms using Markov Random Field for composite materials only considers color similarity between the corresponding pixels. The traditional algorithms are lack of adaptability, so the size of patches needs to be defined artificially in advance as the result of blurring of image texture features for composite materials. In order to improve above problems, a new patch-based sampling algorithm for synthesizing textures from an input sample image texture of composite materials is presented in this paper. By using patches of the sample texture as building blocks for image texture synthesis of composite materials, this algorithm makes high-quality texture synthesis for a wide variety of textures ranging regular to stochastic. The method is effective by our experimental results. © (2014) Trans Tech Publications, Switzerland.

关键词： Image texture

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Multi-user reinforcement learning based task migration in mobile edge computing

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Frontiers of Computer Science 2024年第4期18卷 161-173页

作者： Yuya CUI Degan ZHANG Jie ZHANG Ting ZHANG Lixiang CAO Lu CHEN Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of TechnologyTianjin 300384China School of Internet of Things Engineering Jiangsu Vocational College of Information TechnologyWuxi 214153China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China School of Sports Economics and Management Tianjin University of SportTianjin 301617China

Mobile Edge computing(MEC)is a promising *** service migration is a key technology in *** order to maintain the continuity of services in a dynamic environment,mobile users need to migrate tasks between multiple servers in real *** to the uncertainty of movement,frequent migration will increase delays and costs and non-migration will lead to service ***,it is very challenging to design an optimal migration *** this paper,we investigate the multi-user task migration problem in a dynamic environment and minimizes the average service delay while meeting the migration *** order to optimize the service delay and migration cost,we propose an adaptive weight deep deterministic policy gradient(AWDDPG)*** distributed execution and centralized training are adopted to solve the high-dimensional *** show that the proposed algorithm can greatly reduce the migration cost and service delay compared with the other related algorithms.

关键词： mobile edge computing mobility service migration deep reinforcement learning deep deterministic policy gradient

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An efficient web service composition approach based on improved particle swarm optimization model

An efficient web service composition approach based on impro...

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International Conference on Management and Service Science, MASS 2009

作者： Yi, Liang Yingyuan, Xiao Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424446391

Along with the rapid growth of the number of the available web services over the internet, the quality of services (Qos) becomes an imperative concern for service consumers and providers. How to differentiate their quality based on Qos criteria at web service level is a challenging issue. Considering that evolutionary algorithm has powerful ability of searching information, a new web service composition model under improved particle swarm optimization (IPSO) algorithm is presented in this paper. According to the non-functional attributes Qos of services, the model can select web services with optimal Qos and compose them into value-added web services. Furthermore, IPSO model not only can find the service with optimal Qos immediately but also can overcome the bottleneck of the standard PSO model. It can balance the exploitation and exploration and avoid premature convergence to some extent. As a result, web services can be invocated dynamically and be composed automatically and efficiently. The preliminary experimental results indicate that the web service composition approach based on IPSO model is applicable and feasible to the optimization of general service compositions. ©2009 IEEE.

关键词： Quality of service

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Knowledge discovery approach based on closeness relationship of FC

Knowledge discovery approach based on closeness relationship...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Degan Li, Miao Zhang, Xiaoli Wang, Jinhui Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

A fuzzy clustering is one of important and valid methods to knowledge discovery. One of problems in fuzzy clustering is to determine a certain fuzzy sample classification in given limited sample space. Another is its validity, that is to say, if the sample is resemble in sample space, its fuzzy type will be resemble too. In our research, firstly, using triangle arithmetic operator and triangle transference, we extend fuzzy equivalence relationship to fuzzy closeness relationship, and cluster. Secondly, importing fuzzy coverage based on fuzzy closeness relationship, we judge resemble type of resemble sample. Thirdly, we introduce the clustering method based on fuzzy closeness relationship and fuzzy coverage. The method can overcome information more loss in fuzzy equivalence. Finally, evaluating its validity, we test its feasibility. The method above is applied to knowledge discovery for electronic commerce on Internet, we have got good result. © 2009 IEEE.

关键词： Fuzzy clustering

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A hybrid efficient short-term traffic flow forecast technology

A hybrid efficient short-term traffic flow forecast technolo...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Lin, Xin Wang, Xiaoye Xiao, Yingyuan Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper presents a hybrid short-term traffic flow forecast technology. For the uncertainty, the short-term traffic flow forecast is complicated, and the accuracy is not high. This strategy combines the RBF neural network and ant colony clustering algorithm to forecast the traffic flow. It used ant colony clustering algorithm to get the centers of hidden layer neurons. To find the best clustering result, local search is used in ant colony algorithm. The model has strong local generalization abilities and high accuracy. The simulation experiment results illuminate that the application is fairly effective. © 2009 IEEE.

关键词： Forecasting

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Research on multi-dimensional association rules mining in distributed environments based on advanced SQL query

Research on multi-dimensional association rules mining in di...

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhang, Lei Qiao, Mei Zhang, Degan Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper proposes the MDMA (Multi-dimensional Distributed Mining Association rules) algorithm based on advanced SQL query. The algorithm works on star-style structure networks. It uses CUBE operator in new standard SQL and combines with SQL powerful query function. So there is no need for the proposed algorithm to conduct a great deal of iterations to generate frequent itemsets in the process of mining association rules. Therefore, no matter what the number of the site in the distributed environments and the scale of the local database in the local site is, the algorithm always needs only two times of scanning the database and only three times of network communications to generate all the global frequent itemsets. Consequently, this algorithm has the merits of light network traffic, low time cost, better scalability and more simplicity. © 2009 IEEE.

关键词： Association rules

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A novel two-step-deformation active contour with application to facial features extraction

A novel two-step-deformation active contour with application...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Hua, Zhang Yuanquan, Wang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424441310

In allusion to the boundary leaking problem of traditional active contours when used to extract facial features, two kinds of local information are introduced to enhance the weak boundary, then to build new external force for active contours. The prior knowledge of the local shape of the facial features is incorporated into the evolution of active contour. The snake contour in each evolution step just serves as prediction, and then is ruled by the prior local shape;this way, the snake contour deforms via prediction-correction two steps. This two-step-deformation (TSD) snake can utilize the a priori shape of objects effectively. The proposed strategies are evaluated on several images and the experimental results validate the high performance of this TSD snake for facial features segmentation. ©2009 IEEE.

关键词： Deformation

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