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

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

In this paper we propose a novel approach for the simplification of a fuzzy model. Initially, we employ a methodology for the automated generation of fuzzy models based on decision trees. The methodology is realized in three stages. Initially, a crisp model is created from a decision tree, induced from the data. Then, the crisp model it is transformed to a fuzzy one. Finally, in the third stage, all parameters entering the fuzzy model are optimized. The simplification technique is based on the pruning of the initial decision tree. The proposed approach is applied for diabetes diagnosis and the obtained results indicate its efficiency and effectiveness.

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Research on Software Dependability Testing Profile in Internet Environment

Research on Software Dependability Testing Profile in Intern...

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International Conference on Information Security and Assurance, ISA

作者： Changjie Ma Jing Zhao Guochang Gu Xiaoyun Ma Harbin Engineering University Harbin Heilongjiang CN College of Computer Science and Technology Harbin Engineering of Technology Harbin China Unit 65165 of PLA

In Internet environment, software needs to be tested sufficiently before it is considered dependable. The operational profile based testing is an efficient way for both the reliability testing and the security testing. In practice, the two kinds of testing are often carried out separately to validate the dependability of the software, but it is resources consuming to develop the operational profile and security intrusion profile. In this paper, the feasibilities and the benefits of the idea of taking the dependability testing are given. Since the testing profile is often different from the operational profile with the influence of the security testing, a description method of the testing profile is needed. A brief analysis of the description of operational profile is made, and on the base of the extended operational profile, the method to describe the dependability testing profile is proposed.

关键词： Software testing Information security Software quality Web and internet services Availability Educational institutions computer science Reliability engineering Programmable logic arrays Writing

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On hybrid-fuzzy classifier design: An empirical modeling scenario for corrosion detection in gas pipelines

On hybrid-fuzzy classifier design: An empirical modeling sce...

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ACS/IEEE International Conference on computer Systems and Applications

作者： Uvais Qidwai Mohammed Maqbool Computer Science & Engineering Department Qatar University Doha Qatar Materials Technology Unit Qatar University Doha Qatar

In this paper, a customized Fuzzy Inference System is presented to classify the corrosion and distinguish it from the geometric defects or normal state of the steel pipes used in gas/petroleum industry. The presented strategy is hybrid in the sense that it utilizes both the soft computing as well as conventional parametric modeling through H infin optimization methods. An experimental strategy is first outlined through which the necessary data is collected as A-scan which are the ultrasonic echoes pulses in ID. Then, using empirical modeling approach a parametric transfer function is obtained for each pulse. In this respect, each A-scan is treated as an output from a defining function when a pure metal's A-scan is used as its input. Three defining states are considered in the paper; healthy, corroded, and defective, corresponding to the healthy or very much less corroded metal, corroded metal, and metal with any artificial or other defects, respectively. Impulse responses for each of these parametric models are plotted and human heuristics is then utilized in coming up with a set of quantitative features that can be used in distinguishing these classes. This feature set is then supplied to the Fuzzy Inference system as input to be used in distinguishing various classes under study. The main contribution of this work is to elaborate the fact that corrosion modeling provides easier approach in classifying the A-scans better rather than the raw A-scan data which is more prone to noise errors and more dependent on the measuring device's parameters.

关键词： Corrosion Pipelines Fuzzy systems Parametric statistics Steel Petroleum industry Optimization methods Transfer functions Humans Fuzzy sets

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Selecting Optimal Non-uniform units for Hierarchical unit Selection

Selecting Optimal Non-uniform Units for Hierarchical Unit Se...

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2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Jun Xu Dezhi Huang Haila Wang Lianhong Cai Yuan Dong Department of Computer Science and Technology Tsinghua University Beijing China Speech and Natural Language Processing Unit France Telecom R&D Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

For concatenative speech synthesis based on non-uniform unit selection, the key to improve the synthetic quality is the careful designing of measuring criteria respect to the units adopted. With our previous hierarchical non-uniform unit selection framework [1], two measurements for selecting optimal non-uniform units during searching at different layers are proposed in this paper, including inter-syllable pitch control and spectra distance by phonetic context. These measures are used as components of our cost function, especially for boundaries in front of syllables starting with voiceless consonants. Experiment shows it outperforms our previous system.

关键词： Distance measurement Speech synthesis Engines Cost function Speech Acoustic measurements Speech processing

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Adaptive smooth multicast protocol for multimedia data transmission

Adaptive smooth multicast protocol for multimedia data trans...

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International Symposium on Performance Evaluation of computer & Telecommunication Systems SPECTS

作者： Christos Bouras Apostolos Gkamas Georgios Kioumourtzis Research Academic Computer Technology Institute University of Patras Rion Greece Research Unit 6 Research Academic Computer Technology Institute Patras Greece Department of Telecommunications Science and Technology of Peloponnesus University of Greece Rion Greece Computer Engineering and Informatics Department University of Patras Rion Greece

ISBN: (纸本)9781424434497

We introduce Adaptive Smooth Multicast Protocol (ASMP), for multimedia transmission over best-effort networks. The smoothness lays in the calculation and adaptation of the transmission rate, which is based on dynamic estimation of protocol parameters and dynamic adjustment of the ldquosmoothness factorrdquo. ASMP key attributes are: (a) adaptive scalability to large sets of receivers, (b) TCP-friendly behavior, (c) high bandwidth utilization, and finally (d) smooth transmission rates, which are suitable for multimedia applications. We evaluate the performance of ASMP and investigate its behavior under various network conditions through extensive simulations, conducted with the network simulator software (ns2).

关键词： Multicast protocols Data communication Bandwidth Scalability Transport protocols Telecommunication computing Application software Informatics Paper technology Streaming media

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Automatic image registration method based on SIFT and Harris-Affine features matching

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of science and technology (Natural science Edition) 2008年第8期36卷 13-16页

作者： Li, Lingling Li, Cuihua Zeng, Xiaoming Li, Bao School of Mathematical Science Xiamen University Xiamen 361005 China School of Information Science and Technology Xiamen University Xiamen 361005 China Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450015 China No.96550 PLA Unit Luoyang 471031 China

An automatic image registration algorithm based on the complementary SIFT and Harris-Affine (H-A) local invariant features was proposed for large misalignment multi-sensor images. In this algorithm, SIFT features were complemented with H-A features and the ratio of the first and second nearest neighbor distance were used to setup the initial correspondences. The affine invariant of Mahalannobis distance was used to remove the mismatched feature points. With this correspondence of the points, the affine matrix between two different images could be determined. All points in the sensed image were mapped to the reference using the estimated transformation matrix and the corresponding gray level was assigned by re-sampling the image in the sensed image. Experiments demonstrated the feasibility of this method.

关键词： Image registration

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Systematic elicitation of sequence patterns associated with non-proline cis peptide bonds

Systematic elicitation of sequence patterns associated with ...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Konstantinos P. Exarchos Themis P. Exarchos Costas Papaloukas Anastassios N. Troganis Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science Department of Medical Physics Medical School University of Ioannina (UoI) Ioannina Greece Institute of Biomedical Technology CERETETH Larissa Greece Department of Biological Applications and Technology University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece CERETETH Larissa Greece

Non-proline cis peptide bonds have been quite underrated for many years, due to the limited amount of structural information available. There is now significant evidence that non-proline cis peptide bonds occur more frequently than previously thought, and that they are often located at or near important sites of the protein molecule. In this work, we employ a combinatorial pattern discovery algorithm in order to identify simple and specific amino acid patterns, associated with the occurrence of non-proline cis peptide bonds in proteins. The derived patterns after careful validation help in gaining insight into the factors that influence the formation of non-proline cis peptide bonds.

关键词： Sequences Computational Intelligence Society Peptides Proteins Amino acids Intelligent systems Information systems computer science Magnetic field induced strain Nuclear magnetic resonance

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A Computationally Efficient Scheme for Dominant Harmonic Source Separation

A Computationally Efficient Scheme for Dominant Harmonic Sou...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Mathieu Lagrange Luis Gustavo Martins George Tzanetakis Music Technology Group McGill University Canada Telecom. and Multimedia Unit INESC-Porto Portugal Department of Computer Science University of Victoria Canada

The leading voice is an important feature of musical pieces and can often be considered as the dominant harmonic source. We propose in this paper a new scheme for the purpose of efficient dominant harmonic source separation. This is achieved by considering an harmonicity cue which is first compared with state-of-the-art cues using a generic evaluation methodology. The proposed separation scheme is then compared to a generic computational auditory scene analysis framework. Computational speed-up and performance comparison is done using source separation and music information retrieval tasks.

关键词： Source separation Image analysis Frequency estimation Music information retrieval Councils Telecommunication computing Lagrangian functions computer science Iterative algorithms Physics computing

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A reasoning-based framework for car driver’s stress prediction

A reasoning-based framework for car driver’s stress predict...

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Mediterranean Conference on Control and Automation (MED)

作者： George Rigas Christos D. Katsis Penny Bougia Dimitrios I. Fotiadis Department of Computer Science University of Ioannina (UoI) Ioannina Greece Department of Medical Physics Medical School University of Ioannina (UoI) Ioannina Greece Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece

In this work, we present a novel methodology based on a dynamic Bayesian network for the estimation of car drivers stress produced due to specific driving events. the proposed methodology monitors driverpsilas stress using selected biosignals and provides a probabilistic framework in order to infer the driving events resulting in stress level increase. We conducted a series of experiments under real driving conditions. The extracted results indicate a strong correlation between the level of the stress as reported by the driver and the outcome of our model.

关键词： Automation Conferences

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An automatic region based methodology for facial expression recognition

An automatic region based methodology for facial expression ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Anastasios Koutlas Dimitrios I. Fotiadis Department of Medical Physics Medical School Unit of Medical Technology and Intelligent Information Systems University of Ioannina (UoI) Ioannina Greece Department of Computer Science Medical School Unit of Medical Technology and Intelligent Information Systems University of Ioannina (UoI) Ioannina Greece

This work investigates the use of a point distribution model to detect prominent features in a face (eyes, brows, mouth, etc) and the subsequent facial feature extraction and facial expression classification into seven categories (anger, fear, surprise, happiness, disgust, neutral and sadness). A multi-scale and multi-orientation Gabor filter bank, designed in such a way so as to avoid redundant information, is used to extract facial features at selected locations of the prominent features of a face (fiducial points). A region based approach is employed at the location of the fiducial points using different region sizes to allow some degree of flexibility and avoid artefacts due to incorrect automatic discovery of these points. A feed forward back propagation Artificial Neural Network is employed to classify the extracted feature vectors. The methodology is evaluated by forming 7 different regions and the feature vector is extracted at the location of 20 fiducial points.

关键词： Face recognition Face detection Facial features Data mining Feature extraction computer vision Eyes Mouth Gabor filters Feeds

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