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International Symposium on Intelligent Information Technology Application, IITA

作者： Ying Lin Yun Yang Xiaofang Wang College of Computer Science and Technology Harbin Engineering of Technology Harbin Heilongjiang China College of Geology Engineering and Geomatics Chang'an University Xi'an Shanxi China Mathematics School and Institute Jilin University Changchun Jilin China

Recently, active contour models based on local information have emerged in image segmentation. These models are more robust to local variations of region of interest. But it also brought some new problems, such as local minimum, higher computational cost. To effectively alleviate these problems, this paper presents a novel fast active contour model driven by global-local statistical energy. Firstly, a new local statistical model is constructed to capture the border of object more accurately. Secondly, global image features of image are integrated with local features so as to create an improved model which can avoid local minimum effectively. In addition, an accelerating factor is introduced into global-local statistical model in order to drive contour evolution rapidly. Finally, we carry out experiments on synthetic and real data, and results compared to relevant models have demonstrated robustness, accuracy, and time efficiency of our proposed model.

关键词： Active contours Image segmentation Robustness Layout Mathematical model Educational institutions Power engineering and energy Computational efficiency Acceleration Bayesian methods

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ICAIS: A Novel Incremental Clustering Algorithm Based on Artificial Immune Systems

ICAIS: A Novel Incremental Clustering Algorithm Based on Art...

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International Conference on Internet Computing in science and engineering (ICICSE)

作者： Xianghua Li Tianyang Lu Zhengxuan Wang Chao Gao College of Computer Science and Technology Jilin University Changchun China College of Computer Science and Technology Harbin Engineering of Technology Harbin China The International WIC Institute Beijing University of Technology Beijing China

Although many kinds of clustering algorithms are proposed, there has been much less work on the incremental clustering. Inspired by the artificial immune systems, the authors apply it to the incremental clustering, propose a novel incremental clustering algorithm called ICAIS. The algorithm mainly uses the mechanism of immune response of the adaptive immune system. The primary immune response corresponds to forming the new clusters. The secondary immune response corresponds to recognizing the data belonging to the existed clusters. The experiments show that ICAIS has advantages in recognizing new pattern, the effect is better.

关键词： Clustering algorithms Artificial immune systems Immune system Adaptive systems Biology computing Cells (biology) computer science Data mining Partitioning algorithms Data analysis

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Dynamic watermarking scheme based on the Shamir threshold and branch structure

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jilin Daxue Xuebao (Gongxueban)/Journal of jilin University (engineering and Technology Edition) 2008年第SUPPL. 2期38卷 221-225页

作者： Yin, Ke Wang, Zhi-Quan Zhu, Jian-Qi Dong, Gang School of Automation Nanjing University of Science and Technology Nanjing 210094 China Electric Power Simulation and Control Engineering Center Nanjing Institute of Technology Nanjing 211167 China Key Laboratory of Symbol Computation and Knowledge Engineer College of Computer Science and Technology Jilin University Changchun 130012 China

A novel dynamic software watermark scheme based on the Shamir threshold and branch structure is presented. First, we split the watermark into a set of shares using the Shamir threshold scheme. Second, these values are encrypted with the DES block cipher that forms the watermark shares to be embedded into different methods of program according to the dynamic behavior of the branch structure. Our scheme can withstand most semantics-preserving attacks and can retrieve the original watermark based on partial information. Simulation tests show that our scheme is very robust, stealthy and has a high price performance rate compared with other methods.

关键词： Semantics

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Analysis of Nonlinearity in Normal and Epileptic EEG Signals

Analysis of Nonlinearity in Normal and Epileptic EEG Signals

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9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Ye Yuan Yue Li Lijie Yu Haoyuan Guo School of Communication Engineering Jilin University Changchun 130012 China Modern EducationTechnology CenterZhejiang ForestryUniversityHangzhou 311300 China School of Computer Science & Technology Harbin Institute of Technology(WeiHai) Weihai 264209 China

The nonlinearity in normal and epileptic electroencephalogram (EEG) signals is investigated in this paper by the delay vector variance (DVV) method,which determines the degree of nonlinearity of the tested time series by comparing the target variances of the tested time series to those of the corresponding surrogate time *** results of numerical experiments show that both normal and epileptic EEG signals are of nonlinearity,whereas epileptic EEG signals are of higher degree of nonlinearity than normal EEG *** on this,it is proposed that degree of nonlinearity could provide useful information for epileptic seizure ***,the degree of nonlinearity of epileptic EEG time series fluctuates more briskly than that of normal EEG time series.

关键词： Signal analysis Epilepsy Electroencephalography Time series analysis Educational technology Testing Delay Stochastic processes Electrodes Biomedical monitoring

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A New Authentication Protocol for Wireless Communication Network Based on IEEE802.16

A New Authentication Protocol for Wireless Communication Net...

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International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Ruixue Li Zhiyi Fang Wei Cao Yumei Yin Peng Xu College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China College of Information Technology Liaodong University Dandong China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy and Sciences Changchun China

After analyzing the specific security requirements of the wireless communication network based on IEEE802.16, a series of key issues about security methods and techniques were researched. A new authentication protocol for wireless mobile environment was proposed and designed. Then, its security was analyzed from the angle of technical realization and formal analysis to verify whether the original safety goals were achieved. Especially, formal analysis was mostly done. Finally, system testing was also carried out and the results were analyzed to verify function and performance of the new protocol.

关键词： Authentication Wireless application protocol Wireless communication Communication system security Information security Data security Safety Access protocols Clocks Synchronization

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A time delay neural network for dynamical system control

A time delay neural network for dynamical system control

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： X. Xu L.M. Wan X.L. Wang L.K. Wang Y.C. Liang College of Mathematics Jilin University Changchun P. R. China Singapore-MIT Alliance Singapore Research Institute on General Development and Evaluation of Equipment EAAF of PLA Beijing China College of Computer Science and Technology Jilin University Changchun China Singapore-MIT Alliance 4 Engineering Drive 3 Singapore

A novel time delay neural network is proposed for dynamical system control. In this work, A continuous recurrent neural network with time delay neurons in hidden layer is constructed, and the novel training algorithm and control law independent of delay are developed based on Lyapunovpsilas stability approach. Using the proposed method, the control error converges to a range near the zero point and remains within the domain throughout the course of the execution. The usefulness and validity of the presented algorithm are examined by numerical experiments.

关键词： Fuzzy systems Conferences

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ARCA: An Algorithm for Mining Association Rules based Concept Lattice

ARCA: An Algorithm for Mining Association Rules based Concep...

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The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Qing Xia Zhen Chen Sujing Wang Tao Lv Dongjing Wang Library Huaihai Institute of Technology Lianyungang China 222005 College of Computer Science and Technology Jilin University Changchun China 130012 Weapon System Engineering Center Artillery Command Academy XuanHua China 075100 Shizhuang Middle School Lianyungang China 222200

Association rule discovery is one of kernel tasks of data mining. Concept lattice, induced from a binary relation between objects and features, is a very useful formal analysis tool. It represents the unification of concept intension and extension. It reflects the association between objects and features, and the relationship of generalization and specialization among concepts. There is a one-to-one correspondence between concept intensions and closed frequent itemsets. This paper presents an efficient algorithm for mining association rules based concept lattice called Arca (Association Rule based Concept lAttice). Arca algorithm uses concept-matrix to build a part of concept lattice, in which the intension of every concept be put into one-to-one correspondence with a closed frequent itemset. Then all association rules are discovered by 4 operators which are defined in this paper performed on these concepts.

关键词： Concept lattice rank of matriz formal concept analysis

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Prewavelets with finite decomposition and finite reconstruction

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Journal of Information and Computational science 2007年第1期4卷 35-41页

作者： Guan, Yujing Li, Ying Jiang, Zhengyi Institute of Mathematics Jilin University Changchun 130021 China State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China College of Computer Science and Technology Jilin University Changchun 130021 China Key Laboratory of Symbol Computation and Knowledge Engineering Changchun 130021 China

The necessary and sufficient condition for the existence of prewavelets with finite decomposition and finite reconstruction is presented. Especially when r = 1, we show that {φj(x-k) | 1 &le j &le r, k ∈ s} is shift-orthogonal if there exist prewavelets with finite decomposition and finite reconstruction, i.e., non-trivial prewavelets with finite decomposition and finite reconstruction does not exist. As an example, when r = 2 we construct a prewavelet with finite decomposition and finite reconstruction where the scale function is not shift-orthogonal, which demonstrate that there exist vector prewavelets with finite decomposition and finite reconstruction.

关键词： Wavelet transforms

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A novel algorithm on iris identification based on tree-structured wavelet transform with dominant frequency energy

A novel algorithm on iris identification based on tree-struc...

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2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007

作者： Liu, Yuanning Zhu, Xiaodong Chen, Jing Liu, Zhen Computer Science and Technology College JiLin University Qianjin Street No. 2699 ChangChun JiLin China Changchun Normal University No. 3 North Route Changji Road Chanchun Jilin China Graduate School of Engineering Nagasaki Institute of Applied Science Japan

ISBN: (纸本)0769528821

A new iris identification algorithm with tree-structured wavelet transform and dominant frequency channel energy is represented in this paper . After the iris image is preprocessed firstly, the normalized iris texture image is obtained and the wavelet is decomposed on selected base. Secondly the decomposed path is determined through some restriction condition. And the selected energy channel and channel value are regarded as iris feature. Finally, the experiment result verifies the correctness and validity of the approach. © 2007 IEEE.

关键词： Structured programming

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A Novel Algorithm on Iris Identification Based on Tree-structured Wavelet Transform with Dominant Frequency Energy

A Novel Algorithm on Iris Identification Based on Tree-struc...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Yuanning Liu Xiaodong Zhu Jing Chen Zhen Liu Computer Science and Technology College of JiLin University Changchun Jilin China Changchun Normal University Chanchun Jilin China Graduate School of Engineering Nagasaki Institute of Applied Science Japan

A new iris identification algorithm with tree- structured wavelet transform and dominant frequency channel energy is represented in this paper . After the iris image is preprocessed firstly, the normalized iris texture image is obtained and the wavelet is decomposed on selected base. Secondly the decomposed path is determined through some restriction condition. And the selected energy channel and channel value are regarded as iris feature. Finally, the experiment result verifies the correctness and validity of the approach.

关键词： Wavelet transforms Frequency Wavelet analysis computer science Educational institutions Power engineering and energy Iris recognition Security Biometrics Laplace equations

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