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2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

作者： Yu, Tian Zheng, Gang School of Computer and Communication Engineering Tianjin University of Technology China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 Tianjin China

ISBN: (纸本)9781424449941

Ambulatory electrocardiogram is used to record about 24 hours electrocardiogram waveform. The purpose is to find out the conspicuous variation in the recording data. A new strategy used to cluster the electrocardiogram waveform is presented in this paper. The aim of that is to obtain more accurate clustering results. After the controlled trial on MIT/BIH data, it can be safely concluded that the clustering result achieved by improved strategy can got more accurate than that by the traditional clustering algorithm. An average accuracy ratio is about 94.6%, 1.6% higher than k-means algorithm averagely and 1.3% higher than Simulated Annealing algorithm averagely. ©2009 IEEE.

关键词： Electrocardiograms

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A preliminary study on why using the nonself detector set for anomaly detection in artificial immune Systems

A preliminary study on why using the nonself detector set fo...

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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Xu, Baoliang Luo, Wenjian Wang, Xufa Nature Inspired Computation and Applications Laboratory School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei 230027 Anhui China

ISBN: (纸本)9780769539317

In artificial immune systems, the detectors in the nonself space are often adopted to detect anomaly changes, such as the negative selection algorithm and its improvements. Since the detectors in the self space can also be used to detect anomaly changes, a frequently asked question is which kind of detector sets is more efficient for a specific problem. In this paper, firstly, the advantages and disadvantages of the self detector set and the nonself detector set are briefly reviewed. Secondly, when the complete matching rule is adopted, the average time costs of employing the nonself detector set and the self detector set for anomaly detection are compared theoretically. Thirdly, simulated experiments are done, and experimental results demonstrate that the theoretical conclusion is essentially correct. © 2009 IEEE.

关键词： Immune system

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An immune based algorithm for Chinese network short text clustering

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Zidonghua Xuebao/ Acta Automatica Sinica 2009年第7期35卷 896-902页

作者： He, Tao Cao, Xian-Bin Tan, Hui School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Laboratory of Software in Computing and Communication Anhui Province Hefei 230027 China School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

Network short text clustering is a major technology in network content security. Since Chinese network short text is less of keywords and full of anomalous writings, the traditional text clustering method is not directly suitable for network short text clustering. This paper presents an immune network regulation based method to cluster Chinese network short texts. First, Chinese N-gram chunks are extracted and transformed to Chinese pinyin to form the feature representation to each Chinese network short text, so as to relieve these two characteristics' bad influence on the clustering performance. Then, the network short text set is constructed as a dynamic network and an immune network learning mechanism is used to learn the similarity among short texts and therefore to gain a better clustering result. Experiments show our method can get better performance in Chinese network short text clustering, compared with traditional method such as K-means. © 2009 Acta Automatica Sinica. All rights reserved.

关键词： Cluster analysis

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A real-time schedule method for aircraft landing scheduling problem based on cellular automaton 09

A real-time schedule method for aircraft landing scheduling ...

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2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

作者： Shenpeng, Yu Xianbin, Cao Maobin, Hu Wenbo, Du Jun, Zhang Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 86-551-3601545 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China School of Engineering Science University of Science and Technology of China Hefei 230026 86-551-3600127 China School of Electronic and Information Engineering Beihang University Beijing 100083 China

ISBN: (纸本)9781605583266

The Aircraft Landing Scheduling (ALS) problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible landing schedule in an acceptable time. We propose a novel approach which can effectively solve the ALS while satisfying the real-time need. It consists of two steps: (i) Use CA to simulate the landing process in the terminal airspace and to find a considerably good landing sequence;(ii) a simple Genetic Algorithm associated with a Relaxation Operator is used to obtain a better result based on the CA result. Experiments have shown that our method is much faster and suitable for real-time ALS problem compared with traditional optimization methods. For all the 13 data sets, the proposed approach can find satisfactory solutions in less than 2 seconds. Copyright 2009 ACM.

关键词： Cellular automata

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Constructing the Voronoi Diagram of Planar Point Set in Parallel

Constructing the Voronoi Diagram of Planar Point Set in Para...

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International Conference on Computational Intelligence and software Engineering (CiSE)

作者： Lanfang Dong Yuan Wu Shanhai Zhou Anhui Province Key Laboratory of Software In Computing and Communication College of computer science and technology University of Science and Technology Hefei China College of computer science & technology University of Science and Technology Hefei China

By researching Voronoi diagram, parallel algorithm, and divide-and-conquer method, we present a special data structure(change doubly-connected list little) for Voronoi diagram generation in parallel. In this paper we also present two proposal, they are one processor gradually to merge and 22-merger on the parallel machine, the experiment results show that the present algorithm runs faster than the serial program. By analyzing the various results, we should choose the most suitable number of processors according to the point set scale. At last, we can conclude that gradually merger with one processor is better proposal for Voronoi diagram parallel generation.

关键词： Data structures Educational institutions Computer science Parallel algorithms Proposals Switches Merging Concurrent computing Parallel machines Geography

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Dynamic assembly classification algorithm for short text

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2009年第5期37卷 1019-1024页

作者： Yan, Rui Cao, Xian-Bin Li, Kai Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Laboratory of Software in Computing and Communication Hefei 230027 China Institute of Technical Security PLA Beijing 100091 China

Short text classification is a key technology in network content security application. However, the sparse features and unbalanced data of the short text make the traditional text classification method incompetent for short text classification. This paper proposed a dynamic assembly classification method for short text classification. In this method, a treelike assembly classifier was constructed to support the classification, which reduced the impact of the sparse features and unbalanced data of the short texts. Further, a dynamic adjusting strategy was presented in the construction procedure, which adjusted the combinational structure of the classifier in an adaptive way. The experimental results show that, comparing with the traditional classifiers such as single classifier and ensemble classifier, the proposed assembly classifier gets better precision rate and recall rate.

关键词： Adaptive boosting

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Removal of Baseline Wander from Dynamic Electrocardiogram Signals

Removal of Baseline Wander from Dynamic Electrocardiogram Si...

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Congress on Image and Signal Processing, CISP

作者： Min Dai Shi-Liu Lian Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology School of Computer and Communication Engineering Key Laboratory of Computer Vision and System Ministry of Education School of Computer and Communication Engineering Tianjin University of Technology Tianjin China

The traditional method based on moving average filter can remove the baseline wander in electrocardiogram signals, but also causes the loss of motive ECG signals, which makes distortions of filtered ECG signals. In this paper, a modified moving average filter is proposed to selectively capture the low-frequency baseline wander noise and remove it from the detected signals in order to recover true ECG. The interval sampling data is taken into consideration when calculate the moving average in order to reduce the loss of useful ECG signals and distortions. The algorithm is developed for computer implementation using MATLAB. To validate the proposed methods, the recording from MIT/BIH database is used. Experimental results demonstrate the improvement of the proposed moving average filter over the traditional one in removing baseline wander without introducing distortion to the ECG signals.

关键词： Electrocardiography Frequency Distortion Finite impulse response filter IIR filters Computer vision Clinical diagnosis Electrodes Adaptive filters Low-frequency noise

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Link-weighted and distance-constrained channel assignment in single-radio wireless mesh networks

Link-weighted and distance-constrained channel assignment in...

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Conference on Local Computer Networks (LCN)

作者： Junfeng Jin Baohua Zhao Hao Zhou School of Computer Science University of Science and Technology Hefei Anhui China Province Key Laboratory of Software in Computing and Communication Hefei Anhui China School of Computer Science University of Science and Technology of China Hefei Anhui

In this work, we study a link-weighted and distance-constrained channel assignment problem in multi-channel mesh networks with stationary router nodes, such as community wireless networks. A good channel assignment is given as the one which can minimize interference of each link from its neighboring links and subsequently improve the network throughput. In response to it, we introduce an interference metric, namely, min-max i-value of an edge (MMIE), to explicitly accounts for interference among links that are at distance one. In addition, we further show that the link-weighted and distance-constrained channel assignment problem with respect to the interference metric is NP-hard in computation. This guides us to propose a new heuristic channel assignment algorithm called LD-CA algorithm. We study the performance of our algorithm by implementing it in a wireless simulation environment consisting of 25 nodes, each equipped with one 802.11 wireless card. The ns-2 simulation results show that in a multi-channel environment, the LD-CA algorithm significantly outperforms previously proposed channel assignment schemes by minimizing MMIE of all links.

关键词： Wireless mesh networks Interference Mesh networks Throughput Spread spectrum communication Laboratories Computational modeling Switches Conferences Computer network management

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Theoretical and empirical analyses of Evolutionary Negative Selection Algorithms for a combinational optimization problem

Theoretical and empirical analyses of Evolutionary Negative ...

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

作者： Xingxin Pei Wenjian Luo Nature Inspired Computation and Application Laboratory School of Computer Science and Technology Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China

Evolutionary Negative Selection Algorithms (ENSAs) could be regarded as hybrid algorithms of Evolutionary Algorithms (EAs) and Negative Selection Algorithms (NSAs). The average time complexity of ENSAs on combinational optimization problems has never been studied before. In this paper, the average time complexity of ENSAs on one combinational optimization problem is analyzed. The theoretical results demonstrate that, for the Two Max function, the ENSA with an appropriate matching threshold could perform better than the traditional (N+N) EA. Some simulation experiments on the combinational problem are also done, and the experimental results are consistent with theoretical results.

关键词： Algorithm design and analysis software algorithms Immune system Convergence Laboratories Computer applications Application software Computer science Evolutionary computation Biology computing

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A Preliminary Study on Why Using the Nonself Detector Set for Anomaly Detection in Artificial Immune Systems

A Preliminary Study on Why Using the Nonself Detector Set fo...

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International Conference on Computational Intelligence and Security

作者： Baoliang Xu Wenjian Luo Xufa Wang Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

ISBN: (纸本)9781424454112

关键词： Detectors Artificial immune systems Space technology Costs Immune system Biological system modeling Monitoring Laboratories Intrusion detection Biology computing

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