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2010 6th International Conference on Natural Computation, ICNC'10

作者： Dai, Min Hu, Su-Rui Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9781424459612

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the serious problems in the spike sorting of multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapped signals and separate spikes within the same RBF network. A modified radial basis function based on Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulation data coming from the University of Leicester. Experiment results show that our method successfully resolves the fully overlapping problem and has better accuracy comparing with the Gaussian function. © 2010 IEEE.

关键词： Radial basis function networks

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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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Aggregation of interval numbers in group decision making

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ICIC Express Letters 2011年第4 A期5卷 1057-1062页

作者： Deng, Yong Wu, Jiyi Sun, Xiaohong Xu, Peida Zhang, Yajuan College of Computer and Information Sciences Southwest University Tiansheng Road Beibei District Chongqing 400715 China Hangzhou Key Lab of E-Business and Information Security Hangzhou Normal University No. 16 Xuelin Street Xiasha Higher Education Zone Hanzhou 310036 China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Xiangtan University Xiangtan 411105 China College of Food Science and Technology Shanghai Ocean University Hu Cheng Loop-road Lingang New City Shanghai 201306 China School of Electronics and Information Technology Shanghai Jiao Tong University Dongchuan Rd. Shanghai 200240 China

A group of decision-makers may differ in their choice of alternatives while taking a decision. So, in any decision-making problem concerning decisions made by a group, the question arises how best we can aggregate individual choices into a general consensus choice. Due to the inherent uncertain property of the problems in the ambiguous decision domain, the decision makers may use interval numbers to represent their opinions in some situations. In this paper, a simple method is proposed to aggregate interval numbers. Some desirable properties of this method are also discussed. Finally, a numerical example is given to show the use of the proposed method. ICIC International © 2011.

关键词： Aggregates

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A pervasive service discovery strategy based on peer to peer model

A pervasive service discovery strategy based on peer to peer...

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作者： Zhang, De-Gan Chen, Xu-Yan Li, Chao Li, Lin-Qing Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 China

ISBN: (纸本)9780955529337

In order to improve the efficiency of service discovery in the pervasive environment, this paper presents a new strategy of service discovery based on p2p network model. Reference the ring topology of chord algorithm and tbe algorithm used by DDT, tbe traditional single finger-table witch be maintained by each node in the ring will be changed into double finger-table: the Neigbbor-Finger-Table and Long-distance Finger-Table. The structure of the Neighbor-Finger-Table is the same as the traditional single finger-table's. The Long-distance Finger-Table can construct small-world network. Some similar algorithm uses random method to select remote access node, the new strategy is different from that, tbrough tbe calculation of the local node, it can ensure the scope of service can cover tbe entire network. The simulation shows the algorithm can effectively reduce the path length of service discovery, improve the service success rate, and control the path length of magnitude.

关键词： Small-world networks

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A new method for image fusion based on fuzzy neural network

A new method for image fusion based on fuzzy neural network

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作者： Zhang, De-Gan Wang, Yuan-Yuan Liu, Wei-Wei Zhang, Xiao-Li Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 China

ISBN: (纸本)9780955529337

In pervasive computing paradigm, the image data obtained by a variety of multimedia, information equipment. In order to make use of these information reasonably and efficiently, a new method for image fusion based on fuzzy neural network has presented in this paper. It can fuse massive data from the multi-sensor image. Here, fuzzy neural network is a paraDel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. The fuzzy neural network system developed by us can be used in multi- sensor image fusion. Based on our experiments, it has been proved that the fusion is fast, effective, and can meet the real-time requirements of pervasive computing.

关键词： Fuzzy neural networks

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From use case model to service model: An environment ontology based approach

From use case model to service model: An environment ontolog...

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International Conference on Grid and Cloud computing

作者： Zhao, Bin Cai, Guangjun Jin, Zhi Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Graduate University of the Chinese Academy of Sciences Beijing China Software Engineering Institute Peking University Beijing China

ISBN: (纸本)9780769543130

One fundamental problem in services computing is how to bridge the gap between business requirements and various heterogeneous IT services. This involves eliciting business requirements and building a solution accordingly by reusing available services. While the business requirements are commonly elicited through use cases and scenarios, it is not straightforward to transform the use case model into a service model, and the existing manual approach is cumbersome and error-prone. In this paper, the environment ontology, which is used to model the problem space, is utilized to facilitate the model transformation process. The environment ontology provides a common understanding between business analysts and software engineers. The required software functionalities as well as the available services' capabilities are described using this ontology. By semi-automatically matching the required capability of each use case to the available capabilities provides by services, a use case is realized by that set of services. At the end of this paper, a fictitious case study was used to illustrate how this approach works. © 2010 IEEE.

关键词： Ontology

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A clustering algorithm use SOM and K-Means in Intrusion Detection

A clustering algorithm use SOM and K-Means in Intrusion Dete...

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International Conference on E-Business and E-Government (ICEE)

作者： Wang, Huai-Bin Yang, Hong-Liang Xu, Zhi-Jian Yuan, Zheng Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China

ISBN: (纸本)9780769539973

Improving detection definition is a pivotal problem for intrusion detection. Many intelligent algorithms were used to improve the detection rate and reduce the false rate. Traditional SOM cannot provide the precise clustering results to us, while traditional K-Means depends on the initial value serious and it is difficult to find the center of cluster easily. Therefore, in this paper we introduce a new algorithm, first, we use SOM gained roughly clusters and center of clusters, then, using K-Means refine the clustering in the SOM stage. At last of this paper we take KDD CUP-99 dataset to test the performance of the new algorithm. The new algorithm overcomes the defects of traditional algorithms effectively. Experimental results show that the new algorithm has a good stability of efficiency and clustering accuracy. © 2010 IEEE.

关键词： Self organizing maps

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Hessian based image structure adaptive gradient vector flow for parametric active contours

Hessian based image structure adaptive gradient vector flow ...

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2010 17th IEEE International Conference on Image Processing, ICIP 2010

作者： Wang, Y.Q. Chen, W.F. Yu, T.L. Zhang, Y.T. Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Lab. of Image Processing Southern Medical University Guangzhou 510515 China Dept. of Radiology General Hospital Tianjin Medical University Tianjin 300052 China

ISBN: (纸本)9781424479948

Active contours have been one of the most successful methods for image segmentation during the last two decades, but one of the shortcomings of being unable to converge to concavity is a handicap to its effectiveness. In order to address this issue, the gradient vector flow (GVF) was put forth. Although there have been a great number of works on GVF, the image structure has seldom been incorporated into GVF algorithm. In this work, the image structure characterized by the Hessian matrix is incorporated into the GVF algorithm by reformulating the smoothness constraint of GVF into matrix form. In this way, the associated diffusion PDEs are anisotropic and the modified GVF snake can converge to very long concavity and preserve weak edge simultaneously. Experiments and comparisons are presented to demonstrate the properties of the proposed strategies. © 2010 IEEE.

关键词： Image segmentation

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A new method for image fusion based on fuzzy neural network

A new method for image fusion based on fuzzy neural network

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International Conference on Modelling, Identification and Control (ICMIC)

作者： De-gan Zhang Yuan-yuan Wang Wei-wei Liu Xiao-li Zhang Tianjin Key Lab of Intelligent Computing & Novel software Technology Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology China

In pervasive computing paradigm, the image data obtained by a variety of multimedia, information equipment. In order to make use of these information reasonably and efficiently, a new method for image fusion based on fuzzy neural network has presented in this paper. It can fuse massive data from the multi-sensor image. Here, fuzzy neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. The fuzzy neural network system developed by us can be used in multi-sensor image fusion. Based on our experiments, it has been proved that the fusion is fast, effective, and can meet the real-time requirements of pervasive computing.

关键词： Image resolution Annealing Weight measurement Adaptation model Gain measurement

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From Use Case Model to Service Model An Environment Ontology Based Approach

From Use Case Model to Service Model An Environment Ontology...

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The Ninth International Conference on Grid and Cloud computing(第九届网格与云计算国际学术会议 GCC 2010)

作者： Guangjun Cai Bin Zhao Zhi Jin Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Graduate Unive Software Engineering Institute Peking University Beijing China

One fundamental problem in services computing is how to bridge the gap between business requirements and various heterogeneous IT services. This involves eliciting business requirements and building a solution accordingly by reusing available services. While the business requirements are commonly elicited through use cases and scenarios, it is not straightforward to transform the use case model into a service model, and the existing manual approach is cumbersome and error-prone. In this paper, the environment ontology, which is used to model the problem space, is utilized to facilitate the model transformation process. The environment ontology provides a common understanding between business analysts and software engineers. The required software functionalities as well as the available services’ capabilities are described using this ontology. By semi-automatically matching the required capability of each use case to the available capabilities provides by services, a use case is realized by that set of services. At the end of this paper, a fictitious case study was used to illustrate how this approach works.

关键词： services computing requirements engineering use case environment ontology service model

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