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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Sim Hiew Moi Nazeema Binti Abdul Rahim Puteh Saad Pang Li Sim Zalmiyah Zakaria Subariah Ibrahim Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Johor Malaysia Department of System & Communication Faculty of Computer Science and Information System Universiti Teknologi Malaysia Johor Malaysia

Currently, it is noticed that users tend to choose shorter password as their authentication which can be easily attacked. Biometric technologies such as fingerprint scanning, voice authentication, face recognition, signature, hand geometry and iris recognition is now playing an important role especially in application related to security issue. In this work, we present an approach to generate a unique and more secure cryptographic key from iris template. The iris images are processed to produce iris template or code to be utilized for the encryption and decryption tasks. AES cryptography algorithm are employed to encrypt and decrypt the identity data. Distance metric such as hamming distance and Euclidean distance are used for the template matching identification process. Experimental results show that this system can obtain a higher security with a low false rejection or false acceptance rate.

关键词： Biometrics Cryptography Authentication Fingerprint recognition Face recognition Geometry Iris recognition Security Identity-based encryption Hamming distance

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Motion planning in unknown environment using an interval fuzzy type-2 and neural network classifier

Motion planning in unknown environment using an interval fuz...

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IEEE International Conference on Computational Intelligence for Measurement systems and Applications (CIMSA)

作者： Siti Nurmaini Siti Zaiton Mohd Hashim Department of Computer Engineering Faculty of Computer Science University of Sriwijaya Indonesia Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Johor Bahru Malaysia

This paper describes environmental recognition and motion control using weightless neural network classifier and interval type-2 fuzzy logic controller. The weightless neural network classifies geometric feature such as U-shape, corridor and left or right corner using ultrasonic sensors. The neural network utilizes previous sensor data and analyzes the situation of the current environment. The behavior of mobile robot is implemented by means of fuzzy control rules. Based on the performance criteria the quality of controller is evaluated to make navigation decisions. This functionality is demonstrated on a mobile robot using modular platform and containing several microcontrollers implies the implementation of a robust architecture. The proposed architecture implemented using low cost range sensor and low cost microprocessor. The experiment results show that the mobile robot can recognize the current environment and was able to successfully avoid obstacle in real time.

关键词： Fuzzy neural networks Neural networks Mobile robots Motion control Costs Fuzzy logic Data analysis Fuzzy control Navigation Microcontrollers

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The effect of granularity level on software defect prediction

The effect of granularity level on software defect predictio...

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International International Symposium on computer and Information Sciences (ISCIS)

作者： Gul Calikli Ayse Tosun Ayse Bener Melih Celik Software Research Laboratory (SoftLAB) Department of Computer Engineering Bogazici University Istanbul Turkey

Application of defect predictors in software development helps the managers to allocate their resources such as time and effort more efficiently and cost effectively to test certain sections of the code. In this research, we have used naive Bayes classifier (NBC) to construct our defect prediction framework. Our proposed framework uses the hierarchical structure information about the source code of the software product, to perform defect prediction at a functional method level and source file level. We have applied our model on SoftLAB and Eclipse datasets. We have measured the performance of our proposed model and applied cost benefit analysis. Our results reveal that source file level defect prediction improves the verification effort, while decreasing the defect prediction performance in all datasets.

关键词： software testing software performance Cost benefit analysis Laboratories Programming Resource management Data mining Research and development management software development management engineering management

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Probabilistic fuzzy logic system for range measurement

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Mediterranean Journal of Measurement and Control 2009年第3期5卷 119-125页

作者： Chen, Shuo Chen, Chunlin Department of Control and System Engineering School of Management and Engineering Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

Uncertainties in range measurement can be classified into non-stochastic uncertainties and stochastic uncertainties. In this paper, a probabilistic fuzzy logic system (PFLS) is proposed to handle both of these kinds of uncertainties for more precise range measurement. PFLS is different from the ordinary fuzzy logic system (FLS) in that it uses probabilistic fuzzy sets instead of ordinary fuzzy sets to represent the information with both stochastic and fuzzy uncertainties. The PFLS based method can detect both of the stochastic and vague uncertainties that may makes it more reliable and robust for the data processing of range sensors. Simulation results demonstrate the effectiveness of the proposed method for precise range measurement with unexpected uncertainties and disturbances. Copyright © 2009 SoftMotor Ltd.

关键词： Fuzzy sets

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An Improved Genetic Algorithm for Solving Conic Fitting Problems

An Improved Genetic Algorithm for Solving Conic Fitting Prob...

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computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Song Gao Chunping Li Computer Science and Technology Department Key Laboratory of Information System Security Tsinghua University China School of Software Key Laboratory of Information System Security Tsinghua University China

This paper presents an improved genetic algorithm for solving conic fitting problem. We first use several parallel small-populations genetic algorithms to obtain initial population, which has better average fitness. The range of mutation operator is also set to be gradually reduced with the growing of generation to guarantee the proportion of outstanding individuals within the population. An experiment shows that our improvements on genetic algorithm can remarkably increase the average fitness of population during evolution and enhance the performance of the algorithm as a whole.

关键词： Genetic algorithms Genetic mutations Skeleton computer science Laboratories Information systems Information security Power system modeling Equations Testing

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A multipath routing algorithm based on traffic prediction in wireless mesh networks

A multipath routing algorithm based on traffic prediction in...

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5th International Conference on Natural Computation, ICNC 2009

作者： Li, Zhi-Yuan Wang, Ru-Chuan Bi, Jun-Lei College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu 210093 China Computer Engineering Department Henan Polytechnic Institute Nanyang Henan 473009 China

ISBN: (纸本)9780769537368

The technology of QoS routing has become a great challenge in Wireless Mesh Networks (WMNs). There exist a lot of literatures on QoS routing in WMNs, but the current algorithms have some deficiencies, such as high complexity, poor scalability and flexibility. To solve the problems above, a multipath routing algorithm based on traffic prediction (MRATP) is proposed in WMNs. MRATP consists of three modules including an algorithm on multipath routing built, a congestion discovery mechanism based on wavelet-neural network and a load balancing algorithm via multipath. Compared with the current algorithms, MRATP has higher success ratio and lower end to end delay. So MRATP can guarantee the end to end QoS of WMNs.

关键词： Mesh generation

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Complex Network Model for software system and Complexity Measurement

Complex Network Model for Software System and Complexity Mea...

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computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

This paper proposes a new method for measuring the complexity of software systems based on complex network theory. We first construct the complex network model for software system. Then, the complexity of a homogeneous system is defined according to the entropy theory. With the experiments on open source software systems, we show that our method can reveal the complexity on different aspects of software systems,such as inheritance and understanding complexity.

关键词： Complex networks software systems software measurement Packaging Object oriented modeling computer science Laboratories Information systems Information security Open source software

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Knowledge management in the global software engineering environment

Knowledge management in the global software engineering envi...

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2009 4th IEEE International Conference on Global software engineering, ICGSE 2009

作者： Richardson, Ita Casey, Valentine O'Riordan, Miriam Meehan, Bridget Mistrík, Ivan Lero - the Irish Software Engineering Research Centre University of Limerick Limerick Ireland Software System Research Centre Bournemouth University Poole Dorset BH12 5BB United Kingdom Department of Computer Science and Information Systems University of Limerick Limerick Ireland Independent Consultant Heidelberg Germany

ISBN: (纸本)9780769537108

In this paper we consider the importance of explicit knowledge management, taking into account the growth of global software engineering and the importance of corporate knowledge. We conclude by suggesting specific areas of research which should be considered important for the implementation of knowledge management within global software engineering environments. © 2009 IEEE.

关键词： Knowledge management

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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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Internetware computing: Issues and perspective 09

Internetware computing: Issues and perspective

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1st Asia-Pacific Symposium on Internetware, Internetware 2009

作者： Tsai, Wei-Tek Jin, Zhi Bai, Xiaoying Department of Computer Science and Engineering Arizona State University Tempe AZ 85287 United States Tsinghua University Beijing China Key Laboratory of High Confidence Software Technologies Peking University Beijing 100871 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781605588728

The Internetware is a new initiative to develop software on the web for web applications. The open and dynamic nature of Internet applications suggest new ways of thinking will be needed for this initiative. This paper discusses several important issues in Internetware and put forward to some relevant research directions. The relevant issues include lifecycle models, ontology and context systems, modeling and simulation, social networking, and adaptive control. Copyright 2009 ACM.

关键词： Ontology

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