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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sam Chao Fai Wong Heng-Leong Lam Mang-I Vai Department of Computer and Information Science Faculty of Science and Technology University of Macau Macao China Department of Electrical and Electronics Engineering Faculty of Science and Technology University of Macau Macao China

Biosignal is a noninvasive measurement of the status of internal organism, such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG), etc. With machine learning techniques, these biosignals are normally classified into one of a number of disease categories. Hence, they are ideally suited to support clinician in making diagnostic decision. However, if a given biosignal is an unknown type, none of the existing classification algorithms can be considered workable. In this paper, an intelligent framework that is able to automatically identify ECG from an unknown biosignal is described. In which, the first phase of the research is illustrated in detail, which focuses on classifying an unknown biosignal into ECG or other categories, by employing dynamic time warping (DTW), combined with clustering algorithm. The proposed framework consists of two major components: biosignal template construction and classification process. Biosignal template construction includes biosignal acquisition and segmentation, template optimization and management; while the classification process involves several sub-processes: biosignal preprocessing, biosignal pattern matching and majority voting. The experimental results demonstrate the effectiveness of the framework as well as the classification methodology.

关键词： Electrocardiography Classification algorithms Clustering algorithms Electroencephalography Heuristic algorithms Time series analysis Machine learning

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Physics-based modeling of hole mobility in ultrathin-body silicon-on-insulator MOSFETs

Physics-based modeling of hole mobility in ultrathin-body si...

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作者： Poljak, M. Jovanović, V. Suligoj, T. Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 HR-10000 Zagreb Croatia ECTM-DIMES Delft University of Technology Feldmannweg 17 2628 CT Delft Netherlands

ISBN: (纸本)9789532330670

A comprehensive study of hole mobility behavior with downscaling of silicon body thickness in single-gate ultrathin-body silicon-on-insulator MOSFETs on (100) surface is performed. We present a physics-based model that includes optical and acoustic phonon scattering, surface roughness scattering (including scattering induced by silicon thickness fluctuations) and Coulomb scattering. Although the model is based on effective mass approximation, comparison of simulation results and experimental data shows an excellent agreement, from 30 nm down to 3.8 nm-thick SOI pMOSFETs. © 2011 MIPRO.

关键词： Hole mobility

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Chaos based PN sequence generator for cryptographic applications

Chaos based PN sequence generator for cryptographic applicat...

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International Multimedia, Signal Processing and Communication Technologies, IMPACT

作者： Musheer Ahmad Omar Farooq Department of Computer Engineering Faculty of Engineering & Technology Jamia Millia Islamia University New Delhi India Department of Electronics Engineering ZH College of Engineering & Technology Aligarh Muslim University Aligarh India

Strength of cryptographic cipher depends on the statistical performance of its generated keystream. Generation of high quality keystream is a challenging task, which decides the level of security offered by the cipher. A lot of key generation techniques based on linear feedback shift registers for stream ciphering have been suggested in the literature. In this paper, the features of one-dimensional chaotic systems are exploited to construct a PN sequence generator. The integration of chaotic Logistic maps and Cubic maps is done in novel manner to generate strong cryptographic sequence. The proposed system includes the preprocessing and quantization of the real-valued chaotic sequences. The statistical performance of the proposed generator is performed which ascertain that the generated PN sequence has noise-like characteristics. In addition, it is also examined that the proposed chaos-based generator has better statistical and encryption performance than the existing LFSR-based generator.

关键词： Generators Chaotic communication Encryption Logistics Histograms

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ITERATIVE PCA FOR POPULATION STRUCTURE ANALYSIS

ITERATIVE PCA FOR POPULATION STRUCTURE ANALYSIS

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： T. Limpiti A. Intarapanich A. Assawamakin P. Wangkumhang S. Tongsima Faculty of Engineering King Mongkut''s Institute of Technology Ladkrabang Thailand National Electronics and Computer Technology Center Thailand National Center of Genetic Engineering and Biotechnology (BIOTEC) Thailand

An extension of principal component analysis called ip-PCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies individuals into subpopulations. However, it is prone to false positives when dealing with large datasets and mixed-type genetic markers. We address these shortcomings by introducing a unified encoding scheme and suggesting a new terminating criterion for ipPCA. To validate the improvements, simulated datasets as well as real bovine and large human genetic datasets are analyzed. It is observed that the estimation of the number of subpopulations and the individual assignment accuracy have been improved. Furthermore, the structure resolved by this approach can be used to identify subset of individuals for further parametric population structure analysis.

关键词： Principal component analysis Genetics Clustering algorithms Encoding Eigenvalues and eigenfunctions Bioinformatics Shape

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Fast image acquisition in magnetic resonance imaging by chaotic compressed sensing

Fast image acquisition in magnetic resonance imaging by chao...

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IEEE International Symposium on Biomedical Imaging

作者： Dinh Van Phong Nguyen Linh-Trung Tran Duc Tan Ha Vu Le Minh N. Do Faculty of Electronics & Telecommunications University of Engineering and Technology VNU-Hanoi Vietnam Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Illinois USA

We consider the problem of fast acquisition in magnetic resonance imaging (MRI). A recent breakthrough concept called compressed sensing (CS) shows that sparse or, more generally, compressible signals can be recovered from a small number of linear random measurements. CS, using random measurements, has also been successfully applied to MRI for fast acquisition. In a recent work, we have preliminarily employed deterministic chaos in CS that potentially offers a more practical and efficient CS framework. This paper adapts chaotic CS to MRI acquisition. In particular, we use chaotic logistic map for CS and adapt it to acquire the 2-dimensional MRI. In addition, we numerically analyze the performance of the proposed chaotic CS for MRI and show that it performs better random CS.

关键词： Magnetic resonance imaging Image reconstruction Chaos Compressed sensing Logistics Brain

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A noise resilient scrambling scheme for noisy transmission channel

A noise resilient scrambling scheme for noisy transmission c...

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International Multimedia, Signal Processing and Communication Technologies, IMPACT

作者： Musheer Ahmad M Ehtashamoul Haque Omar Farooq Department of Computer Engineering Faculty of Engineering & Technology Jamia Millia Islamia University New Delhi India Department of Computer Science & Engineering DBIT Dehradun India Department of Electronics Engineering ZH College of Engineering & Technology Aligarh Muslim University Aligarh India

Image scrambling is an efficient and fundamental scheme used in pre/post-processing of image encryption, image watermarking and information hiding schemes to protect digital images. In this paper, a new image scrambling algorithm based on chaotic systems is proposed. The proposed scheme has multiple internal levels of operation. At each level, the plain-image is first decomposed into same sized blocks which are scrambled using Arnold transform. To strengthen the scheme, the parameters of scrambling are randomly generated through another 2D chaotic system, which makes scrambling key-dependent. Experimental analysis shows that the algorithm is efficient and provides good scrambling effect. Furthermore, it exhibits large key space, high security and PSNR analysis shows that it is resilient towards the transmission channel noise.

关键词： Signal processing algorithms PSNR Encryption Chaos Algorithm design and analysis Multimedia communication

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Orthogonal Photon States Manipulation using Dark-Bright Soliton Conversion Control

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Procedia engineering 2011年 8卷 228-231页

作者： Sawatsakorn Chaiyasoonthorn Somsak Mitatha Preecha P. Yupapin Electronics Technology Faculty of Science Ramkhamhaeng University Bangkok 10240 Thailand Department of Computer Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Nanoscale Science and Engineering Research Alliance Advance Research Center for Photonics Faculty of Science King Mongkut's Institute of Technology Ladkrabang Banglok 10520 Thailand

In this paper, we have derived and presented a new concept of multi orthogonal photon states generated by using dark-bright soliton collision within the modified add/drop filter, which it is known as PANDA ring resonator. By using the dark-bright soliton conversion control, the obtained outputs of the dynamic states can be used to randomly form the multi orthogonal photon pairs, which can be available for computer and communication security applications.

关键词： Orthogonal photons PANDA ring Soliton control Random code

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An intelligent approach for speed stability analysis of a travelling wave ultrasonic motor based on genetic k-NN algorithm

An intelligent approach for speed stability analysis of a tr...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Ilhami Colak Mehmet Yesilbudak Seref Sagiroglu H. Tolga Kahraman Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Department of Software Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey

Driving voltage, driving frequency, phase difference and operating temperature are the parameters which affect the speed stability of a travelling wave ultrasonic motor (TWUSM). The weight coefficients of these parameters should be determined for the purpose of ensuring the speed stability of a TWUSM with a maximum level under different operating conditions. In this paper, a novel approach is proposed for the speed stability analysis of the TWUSM using genetic k-nearest neighbor algorithm (k-NN) and the speed stability classes of new test observations are achieved accurately. Furthermore, the genetic k-NN algorithm is compared with the classic k-NN algorithm in terms of prediction accuracy using Euclidean, Manhattan and Minkowski distance metrics. As a result of experimental studies, it is shown that the TWUSM parameters weighted by the genetic k-NN algorithm increase the speed stability of the TWUSM significantly and the genetic k-NN algorithm outperforms the classic k-NN algorithm for all of distance metrics.

关键词： Measurement Classification algorithms Frequency control Artificial neural networks Servomotors Prediction algorithms Algorithm design and analysis

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MEMS-based handheld single-axis confocal microscope design and experiment

MEMS-based handheld single-axis confocal microscope design a...

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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Techaniti Chantakien Pisut Raphisak Itsuo Kumazawa Wibool Piyawattanametha Department of Electrical Engineering Faculty of Engineering Kasetsart University Thailand Imaging Science and Engineering Laboratory Tokyo Institute of Technology Japan Photonics Laboratory National Electronics and Computer Technology and Advanced Imaging Research Center Faculty of Medicine Chulalongkom University Thailand Photonics Laboratory National Electronics and Computer Technology and Advanced Imaging Research Center Chulalongkorn University Thailand

We demonstrate an optical configuration of MEMS based a single-axis confocal microscope imaging setup with 12.7 millimeters diameter commercial lenses. The configuration deploys lens models of optical design software, ZEMAX, to predict optical performance of the actual imaging setup. With this optical design, the maximum field of view is 150 μm × 30 μm with 11.96 μm transverse resolutions and 1.98 mm axial resolution.

关键词： Image resolution Collimators Micromechanical devices

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DMCA: A Combined Data Mining Technique for Improving the Microarray Data Classification Accuracy

DMCA: A Combined Data Mining Technique for Improving the Mic...

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2011 International Conference on Environment and BioScience（ICEBS 2011）

作者： Dina A.Salem Rania Ahmed A.A.Abul Seoud Hesham A.Ali Dept.of Electronics Engineering-Faculty of Engineering-Misr University for Science and Technology Egypt Dept.of Electrical Eng.-Comm.and Electronics Section-Faculty of Eng-El Fayoum University-Fayoum Egypt Computer Engineering System Dept-Faculty of Engineering-Mansoura University Egypt

Data mining techniques are important to sift through the huge amount of gene expression values in microarrays resulting in valuable biological knowledge. An important example is classifying cancer samples, which is crucial to biologists for cancer diagnosis and treatment. In this paper we propose the DMCA technique in which the main objective is reducing the number of genes needed for accurate classification. The proposed technique is a combination of two feature selection techniques, f-score and entropy-based, and a powerful classifier, Support Vector Machines. DMCA achieved promising results and is characterized by being flexible in all of its stages. When applied to two public microarray datasets, DMCA succeeded in reducing the number of gene expression values needed to classify a sample by 71.29% and guaranteed reliable classification accuracy.

关键词： data mining, bioinformatics, microarrays, classification, gene selection, f-score technique

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