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2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

作者： Feng-Yu, Lei Guo-Hua, Cui Qing-Feng, Duanmu Sha-Sha, Zhang College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Institute of Communication Engineering PLA. University of Science and Technology Nanjing 21000 China PLA Unit 75741 Guangzhou 510510 China

ISBN: (纸本)9781424421084

Wireless sensor networks are confronted with unique challenges. Key distribution is one of the most challenging security problems in wireless sensor networks, and the traditional security techniques used in tradition networks cannot be applied directly. We propose CPK-based authentication protocol as the security scheme, which can achieve the key establishment and security authentication. In contrast to previous key -establishment solutions, our approaches need small storage space, and can gain strlonger security and reasonable performance efficiency. © 2008 IEEE.

关键词： Wireless sensor networks

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Automated fuzzy model generation through weight and fuzzification parameters' optimization

Automated fuzzy model generation through weight and fuzzific...

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2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008

作者： Tsipouras, Markos G. Exarchos, Themis P. Fotiadis, Dimitrios I. Unit of Medical Technology and Intelligent Information Systems Dept. of Computer Science University of Ioannina Ioannina GR 45110 Greece

ISBN: (纸本)9781424418190

In this paper we explore the use of weights in the generation of fuzzy models. We automatically generate a fuzzy model, using a three-stage methodology: (i) generation of a crisp model from a decision tree, induced from the data, (ii) transformation of the crisp model into a fuzzy one, and (iii) optimization of the fuzzy model's parameters. Based on this methodology, the generated fuzzy model includes a set of parameters, which are all the parameters included in the sigmoid functions. In addition, local, global and class weights are included, thus the fuzzy model is optimized with respect to both sigmoid function parameters and weights. The class weight introduction, which is a novel approach, grants to the fuzzy model the ability to identify the individual importance of each class and thus more accurately reflect the underlying properties of the classes under examination, in the domain of application. The above described methodology is applied to five known classification problems, obtained from the UCI machine learning repository, and the obtained classification accuracy is high. © 2008 IEEE.

关键词： Decision trees

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Extraction of regions of interest from face images using cellular analysis 08

Extraction of regions of interest from face images using cel...

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1st ACM Bangalore Annual Conference, COMPUTE 2008

作者： Biswas, Arindam Khara, Suman Bhowmick, Partha Bhattacharya, Bhargab B. Computer Science and Technology Dept. Bengal Engineering and Science University Shibpur India Advanced Computing and Microelectronics Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9781595939500

A novel algorithm for extracting the regions of interest (ROI) from face images is presented in this paper. The novelty of the algorithm comes from its multi-resolution cellular analysis coupled with an adaptive thresholding technique incorporating a unique idea of exponential averaging. The complexity of the cellular ROIs reported by the algorithm from the frontal face view as input, is further controllable by the chosen cell size, which is its added advantage. Apart from the actual ROIs representing the eye pair, nostrils, and the mouth area, some regions of non-interest may also creep in while extracting the set of cellular regions from the face image, which are discarded by a simple geometric analysis using a containment tree. The containment tree, which is newly introduced in this paper, captures the underlying relationship of the cellular regions, which, when analyzed, returns the face ROIs in an elegant representation. Since the entire algorithm works purely in the integer domain with primitive operations (comparison, right shift, and addition) only, it runs very fast for both gray-scale and color images. Some experimental results on different facial images demonstrate its speed, robustness, and efficiency.

关键词： Image segmentation

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Collapsed variational inference for HDP

Collapsed variational inference for HDP

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21st Annual Conference on Neural Information Processing Systems, NIPS 2007

作者： Teh, Yee Whye Kurihara, Kenichi Welling, Max Gatsby Unit University College London United Kingdom Dept. of Computer Science Tokyo Institute of Technology Japan ICS UC Irvine United States

ISBN: (纸本)160560352X

A wide variety of Dirichlet-multinomial 'topic' models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in such models, variational techniques have certain advantages such as easy assessment of convergence, easy optimization without the need to maintain detailed balance, a bound on the marginal likelihood, and side-stepping of issues with topic-identifiability. The most accurate variational technique thus far, namely collapsed variational latent Dirichlet allocation, did not deal with model selection nor did it include inference for hyperparameters. We address both issues by generalizing the technique, obtaining the first variational algorithm to deal with the hierarchical Dirichlet process and to deal with hyperparameters of Dirichlet variables. Experiments show a significant improvement in accuracy.

关键词： Variational techniques

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Empowering students in information literacy practices using a collaborative digital library for school projects

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Journal of Educational Media and Library science 2008年第1期46卷 5-29页

作者： Abdullah, Abrizah Zainab, A.N. Department of Information Science Faculty of Computer Science and Information Technology University of Malaya Malaysia Library and Information Science Unit Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

This paper examines the affordances that a collaborative digital library (CDL) can bring to bear on supporting information literacy practices in the digital information environment. It suggests that the digital library can contribute to student empowerment in information literacy practices while searching, using and collaboratively building the digital library resources. To illustrate this, the authors have been experimenting with the implementation of an integrated information literacy model based on Eisenberg and Berkowitz' Big 6 Model and describes the CDL features in association with the information literacy dimensions in this model. The CDL focuses on the project-based learning approach to conduct students' project, which supports specific information behaviors that underpin research and learning such as information seeking, browsing, encountering, foraging, sharing, gathering, filtering, and using. Findings regarding teachers' reception of the digital library are encouraging as they feel the relevance of the digital library to the current requirement of the students' project and its potential to entrench information and resource study skills through project-based learning.

关键词： Big six model Collaborative digital libraries Electronic publishing Information literacy Malaysia Project-based learning

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Automated fuzzy model generation through weight and fuzzification parameters’ optimization

Automated fuzzy model generation through weight and fuzzific...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Markos G. Tsipouras Themis P. Exarchos Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina Ioannina Greece

In this paper we explore the use of weights in the generation of fuzzy models. We automatically generate a fuzzy model, using a three-stage methodology: (i) generation of a crisp model from a decision tree, induced from the data, (ii) transformation of the crisp model into a fuzzy one, and (iii) optimization of the fuzzy modelpsilas parameters. Based on this methodology, the generated fuzzy model includes a set of parameters, which are all the parameters included in the sigmoid functions. In addition, local, global and class weights are included, thus the fuzzy model is optimized with respect to both sigmoid function parameters and weights. The class weight introduction, which is a novel approach, grants to the fuzzy model the ability to identify the individual importance of each class and thus more accurately reflect the underlying properties of the classes under examination, in the domain of application. The above described methodology is applied to five known classification problems, obtained from the UCI machine learning repository, and the obtained classification accuracy is high.

关键词： Decision trees Optimization Data models Data mining Accuracy Classification algorithms Adaptation model

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Fetal heart rate detection in multivariate abdominal ECG recordings using non-linear analysis

Fetal heart rate detection in multivariate abdominal ECG rec...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： E.C. Karvounis M.G. Tsipouras D.I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science Department University of Ioannina (UoI) Ioannina Greece

A novel three-stage methodology for the detection of fetal heart rate (fHR) from multivariate abdominal electrocardiogram (ECG) recordings is introduced. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are detected. Maternal fiducial points are used to eliminate the maternal QRS complexes from the abdominal ECG recordings. In the second stage, two denoising procedures are applied to enhance the fetal QRS complexes. The phase space characteristics are employed to identify fetal heart beats not overlapping with the maternal QRSs which are eliminated in the first stage. The extraction of the fetal heart rate is accomplished in the third stage, using a histogram based technique in order to identify the location of the fetal heart beats which overlap with the maternal QRSs. The methodology is evaluated on simulated and real multichannel ECG signals. In both cases, the obtained results indicate high performance; in the simulated ECGs the accuracy ranges from 74.21–100%, depending on the employed SNR, while in the real recordings the average accuracy is 94.08%.

关键词： Fetal heart rate Electrocardiography Signal to noise ratio Three-dimensional displays Ellipsoids Filtering Noise reduction

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Development and evaluation of a flexible interface for a wheelchair mounted robotic arm 08

Development and evaluation of a flexible interface for a whe...

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3rd ACM/IEEE International Conference on Human-Robot Interaction, HRI 2008

作者： Tsui, Katherine Yanco, Holly Kontak, David Beliveau, Linda University of Massachusetts Lowell Department of Computer Science One University Avenue Lowell MA 01854 United States Crotched Mountain Rehabilitation Center Assistive Technology Unit One Verney Drive Greenfield NH 03047 United States

ISBN: (纸本)9781605580173

Accessibility is a challenge for people with disabilities. Differences in cognitive ability, sensory impairments, motor dexterity, behavioral skills, and social skills must be taken into account when designing interfaces for assistive devices. Flexible interfaces tuned for individuals, instead of custom-built solutions, may benefit a larger number of people. The development and evaluation of a flexible interface for controlling a wheelchair mounted robotic arm is described in this paper. There are four versions of the interface based on input device (touch screen or joystick) and a moving or stationary shoulder camera. We describe results from an eight week experiment conducted with representative end users who range in physical and cognitive ability. Copyright 2008 ACM.

关键词： Touch screens

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A region based decorrelation stretching method: Application to multispectral chromosome image classification

A region based decorrelation stretching method: Application ...

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IEEE International Conference on Image Processing

作者： Petros S. Karvelis Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Greece

M-FISH (multiplex fluorescent in situ hybridization) is a multichannel channel chromosome imaging technique that allows the color discrimination of human chromosomes. Although M-FISH facilitates the visual detection of chromosome rearrangements, the success of this technique largely depends on the accuracy of the pixel-by-pixel classification. In this paper, we present a new method that enhances the classification ratio based on a region based decorrelation stretch transform. Utilizing the decomposition of the multichannel image into homogenous regions, the classification results improved after the application of the decorrelation stretch transform. Fifteen M-FISH images were used to test our method. To quantitatively estimate the enhancement we have used a Bayes pixel-by-pixel classifier and an improvement of 12.28% is achieved.

关键词： Decorrelation Biological cells Image classification Fluorescence Pixel Gray-scale Cancer Image segmentation Application software Biomedical imaging

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MULTICAST FORWARDING GROUP ROUTING PROTOCOL FOR AD HOC

MULTICAST FORWARDING GROUP ROUTING PROTOCOL FOR AD HOC

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： ZHEN-DONG NIU FU-SHENG JIN QUAN-XIN ZHANG JIAN-JUN ZHENG School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Unit of 63961 PLA Beijing 100012 China

The multicast routing protocols used in wire network, such as distance vector multicast routing protocol(DVMRP), multicast open shortest path first(MOSPF), core based tree(CBT), do not run very well in ad hoc network because the dynamic net topology may destroy the distribution tree. Besides, distribution tree usually needs global routing structure. Which produces extra processing cost because the dynamic topology will introduce frequent exchange of routing vector or routing state between nodes. To deal with these problems multicast forwarding group routing protocol (MFGRP) which is based on route grid is designed on basis of dynamic source routing protocol (DSR). MFGRP ensures the multicast packets are sent to destination through dynamic topology network using multicast route grid.

关键词： On-demand Forwarding group Multicast

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