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Fabrication of QCM sensor array and PDMS micro chamber for biosensor applications

Fabrication of QCM sensor array and PDMS micro chamber for b...

International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information technology, ECTI-CON

作者： K. Jaruwongrungsee T. Maturos K. Wong-ek M. Sangworasil C. Pintavirooj A. Wisitsora-at A. Tuantranont Biomedical Signal and Image Processing Laboratory Department of Electronics Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Nanosceince and Technology Program Graduated College Chulalongkom University Bangkok Thailand

In this work, an array of quartz crystal microbalance (QCM) sensors is fabricated on a single quartz crystal substrate and attached with poly(dimethylsiloxane) (PDMS) micro chamber for using in flow-injection system. The Cr/Au electrode array is deposited on both side of quartz substrate by sputtering through electroplated microshadow mask. PDMS micro chamber was fabricated by mold casting technique with SU-8 mold. Fabricated PDMS micro chamber and QCM sensor array were attached together for using in flow-injection system. In our experiment, the QCM electrodes were coated with the carboxylic poly(vinyl chloride) (PVC-COOH) and then the carboxylic group was activated with carbodiimide hydrochloride (EDC) and N-hydroxylsuccinimide (NHS) for protein binding. The scanning electron micrograph shown the trapped protein on the modified sensing layer, it confirmed that our QCM sensor and PDMS micro chamber can be used as QCM biosensor array. This new QCM sensor array provide possibility of multiple detection in small amount of sample within a single quartz crystal substrate that avoid the error signal from the different properties of each sensor in an array.

关键词： Sensor arrays Biosensors Fabrication Sensor systems Electrodes Proteins Chromium Gold Sputtering Casting

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A Visual Silence Detector Constraining Speech Source Separation

A Visual Silence Detector Constraining Speech Source Separat...

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International Conference on image and Graphics (ICIG)

作者： Isabel Gonzalez Ilse Ravyse Henk Brouckxon Werner Verhelst Dongmei Jiang Hichem Sahli VUB-NPU Joint Research Group on Audio Visual Signal Processing (AVSP) Interdisciplinary Institute for BroadBand Technology Belgium Department ETRO VUB-ETRO Interdisciplinary Institute of Broadband Technology-IBBT Vrije Universiteit Brussel Brussels Belgium Shaanxi Provincial Key Laboratory on Speech Image and Information Processing Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9780769552378;9780769538839

We propose an audiovisual source separation algorithm for speech signals. In our proposed algorithm we first extract the time segments with low activity of the mouth region from synchronous video recordings. An automatically selected optimal classifier is used to detect silent intervals in these instants of low visual mouth activity. Then, the source separation problem is formulated and solved for the entire signal duration. Our approach was tested on two challenging speech corpora with two speakers and two microphones, namely in the first corpus separate source signals were mixed in a simulated room, and the second corpus contains recorded conversations. The results are promising on both corpora: with the visual silence detector the performance of the source separation algorithm, measured by the signal to noise inference ratio increases.

关键词： Detectors Speech Source separation Mouth Video recording Testing Microphones Inference algorithms Noise measurement signal to noise ratio

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Compressed sensing metal artifact removal in dental CT

Compressed sensing metal artifact removal in dental CT

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IEEE International Symposium on Biomedical Imaging

作者： Jiyoung Choi Min Woo Kim Won Seong Jong Chul Ye Bio-Imaging & Signal Processing Laboratory Department Bio& Brain Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea Chungnam National University Daejeon South Korea

ISBN: (纸本)9781424439317

Metal artifact removal (MAR) has been an important issue in dental X-ray CT due to the presence of metal implant and fillings. The practical use of most existing MAR methods have limitations due to their inherent drawbacks. In this research, we propose a novel MAR algorithm in dental CT. Based on the sparse volume occupation of the metallic inserts, we can formulate the MAR problem as a sparse recovery problem within the compressed sensing framework. One of the main advantages of employing compressed sensing theory in MAR problem is that the sparseness of the metallic objects allows us to reduce the view samples significantly without loss of image quality, accelerating the proposed MAR algorithm drastically. Experimental results using real dental CT scanner measurements show that our algorithm can perform accurate metallic artifact removal very quickly.

关键词： Compressed sensing Dentistry Computed tomography signal processing algorithms image reconstruction Iterative algorithms Implants signal to noise ratio Interpolation Iterative methods

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Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Product Moment Coefficient Matcher

Landmark Extraction from Echocardiography Sequence Based on ...

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International Conference on signal processing Systems, ICSPS

作者： Meysam Siyah Mansoory Hamid Behnam Emad Fatemi Zadeh Bio Medical Engineering Department Science and Research Branch Islamic Azad University슠 Tehran Iran Bio Medical Engineering Group Electrical Engineering Department Iran University of Science and Technology Tehran Iran Bio Medical Signal and Image Processing Laboratory School of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9781424442133

Landmark extraction is used as the first step of many vision tasks such as tracking, image registration, localization, image matching and recognition. Furthermore, landmarks are used to reduce the data flow and consequently the computational costs. In this paper we extracted landmarks from echocardiography sequence, our algorithm is based on corner extraction, and then we evaluate our algorithm with applying some test. For this purpose, we evaluated the detectors according to their repeatability, stability and landmark localization under changes in noise.

关键词： Echocardiography Detection algorithms Data mining image registration image matching image recognition Computational efficiency Testing Detectors Stability

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An automatic computer-aided detection system for meniscal tears on magnetic resonance images

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IEEE Transactions on Medical Imaging 2009年第8期28卷 1308-1316页

作者： Ramakrishna, Bharath Liu, Weimin Saiprasad, Ganesh Safdar, Nabile Chang, Chein-I Siddiqui, Khan Kim, W. Siegel, Eliot Chai, Jyh-Wen Chen, Clayton Chi-Chang Lee, San-Kan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD 21250 United States University of Maryland School of Medicine Baltimore MD 21201 United States Department of Electrical Engineering and Environmental Restoration Disaster Reduction Research Center National Chung Hsing University Taichung 402 Taiwan VA Maryland Health Care System Baltimore MD 21201 United States Hospital of the University of Pennsylvania Philadelphia PA 19104 United States Department of Radiology College of Medicine China Medical University Taichung 404 Taiwan Department of Radiology Taichung Veterans General Hospital Taichung 40705 Taiwan Department of Radiological Technology Central Taiwan University of Science and Technology Taichung 406 Taiwan Department of Radiology Taichung Veterans General Hospital Taichung 407 Taiwan

Knee-related injuries including meniscal tears are common in both young athletes and the aging population, and require accurate diagnosis and surgical intervention when appropriate. With proper techniques and radiologists' experienced skills, confidence in detection of meniscal tears can be quite high. This paper develops a novel computer-aided detection (CAD) diagnostic system for automatic detection of meniscal tears in the knee. Evaluation of this CAD system using an archived database of images from 40 individuals with suspected knee injuries indicates that the sensitivity and specificity of the proposed CAD system are 83.87% and 75.19%, respectively, compared to the mean sensitivity and specificity of 77.41% and 81.39%, respectively, obtained by experienced radiologists in routine diagnosis without using the CAD. The experimental results suggest that the developed CAD system has great potential and promise in automatic detection of both simple and complex meniscal tears of the knee. © 2009 IEEE.

关键词： Magnetic resonance imaging

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Brain tissue classification using independent vector analysis (IVA) for magnetic resonance image

Brain tissue classification using independent vector analysi...

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2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009

作者： Chiou, Yaw-Jiunn Chen, Hsiang-Min Chai, Jyh Wen Chen, Clayton Chi-Chang Ouyang, Yen-Chieh Su, Wu-Chung Yang, Ching-Wen Lee, San-Kan Chang, Chein-I. Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Department of Radiology College of Medicine China Medical University Taichung Taiwan School of Medicine National Yang-Ming University Taipei Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Radiological Technology Central Taiwan University of Science and Technology Taichung 406 Taiwan Computer Center Taichung Veterans General Hospital Taichung 407 Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780769536569

The purpose of this study is to present a new method, independent vector analysis (IVA), by extending independent component analysis (ICA) of univariate source signals to multivariate source signals on Magnetic Resonance Imaging (MRI). IVA is utilized to relief the limitation of the conventional ICA approach. The proposed method can resolve the permutation problem during individual ICA runs for group brain MR images. The proposed IVA method in conjunction with support vector machine (SVM), we can effectively separate the different part of gray, white matter and cerebrospinal fluid (CSF) from brain soft tissues. In order to demonstrate the proposed IVA-SVM method, experiments are conducted for performance analysis and evaluation. Simulation results show that using IVA can greatly release from the problem cause from traditional ICA to the situation of analyzing inconsistent results of MR image. © 2009 IEEE.

关键词： Magnetic resonance imaging

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A Parallel Artificial Immune Model for Optimization

A Parallel Artificial Immune Model for Optimization

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International Conference on Computational Intelligence and Security

作者： Yutao Qi Fang Liu Licheng Jiao School of Computer Science And Technology Key Laboratory of Intelligent Perception and Imagee Understanding of Ministry of Education Xidian University Xi'an China Institute of Intelligent Information Processing and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an China

This paper presents a parallel artificial immune model termed as tower master-slave model (TMSM) for solving optimising problems. Based on TMSM, the parallel immune memory clonal selection algorithm (PIMCSA) is also proposed. TMSM is a two level coarse-grained parallel artificial immune model with distributed immune response and distributed immune memory. In PIMCSA, vaccines are extracted and migrated between populations rather than individual migration as has been done in parallel genetic algorithms. It is a good balance between population diversity and the convergent speed. Experimental results on the numerical optimization and TSP problems show that PIMCSA achieves good performance in terms of both solution quality and computation time.

关键词： Immune system Genetic algorithms Artificial immune systems Competitive intelligence Master-slave Laboratories Computer science education Poles and towers Vaccines Parallel processing

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Achieving Close-Capacity Performance with Simple Concatenation Scheme on Multiple-Antenna Channels

Achieving Close-Capacity Performance with Simple Concatenati...

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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Nghi H. Tran Tho Le-Ngoc Tad Matsumoto Ha H. Nguyen Department of Electrical & Computer Engineering McGill University Montreal QUE Canada Information Theory and Signal Processing Laboratory School of Information Science Japan Advanced Institute of Science and Technology Japan Department of Electrical & Computer Engineering University of Saskatchewan Saskatoon SAS Canada

This paper proposes a simple yet capacity-approaching concatenation of a mixture of short memory length convolutional codes and simple rate-1 block code followed by either complex 1-dimensional (1-D) anti-Gray or Gray mapping over multiple antenna channels with quadrature phase-shift keying (QPSK). By interpreting rate-1 code together with 1-D mapping as a multi-D mapping employed over multiple transmit antennas, the error performance is analyzed in two regions, the error-floor and turbo pinch-off regions. In the former one, a tight union bound and design criterion on the asymptotic performance are first derived, which provide an useful tool to predict the error performance. Based on the design criterion, an optimal rate-1 code for each 1-D mapping is then constructed to achieve the best asymptotic performance. In the turbo pinch-off area, by using extrinsic information transfer (EXIT) chart, the most suitable mixed codes are selected for both symmetric and asymmetric antenna setups. It is demonstrated that the simple concatenation scheme can achieve near-capacity. Furthermore, its error performance is comparable to that obtained by using well-designed irregular low-density parity-check (LDPC) and repeat accumulate (RA) codes, and thereby, outperforms a scheme employing a parallel concatenated turbo code.

关键词： Parity check codes Convolutional codes Block codes Phase shift keying Quadrature phase shift keying Transmitting antennas Error analysis Performance analysis Concatenated codes Turbo codes

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Component analysis-based unsupervised linear spectral mixture analysis for hyperspectral imagery

Component analysis-based unsupervised linear spectral mixtur...

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Workshop on Hyperspectral image and signal processing: Evolution in Remote Sensing, WHISPERS

作者： Xiaoli Jiao Yingzi Du Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science & Electrical Engineering University of Maryland Baltimore MD USA Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Indiana University-Purdue University Indianapolis Indianapolis IN USA Department of Electrical Engineering National Chung Hsing University Taichung Taiwan

One of the most challenging issues in unsupervised linear spectral mixture analysis (LSMA) is how to obtain unknown knowledge of target signatures referred to as virtual endmembers (VEs) directly from the data to be processed. This issue has never arisen in supervised LSMA where the VEs are either assumed to be known a priori or can be provided by visual inspection. With the recent advent of hyperspectral sensor technology many unknown and subtle signal sources can be uncovered and revealed without prior knowledge. This paper addresses this issue and develops a component analysis-based unsupervised LSMA where the desired VEs can be extracted by component analysis-based transforms directly from the data to be processed without appealing for prior knowledge. In order to substantiate the utility of the proposed approach extensive experiments are conducted for demonstration.

关键词： image analysis Spectral analysis Hyperspectral imaging Independent component analysis Personal communication networks Inspection Statistics signal analysis Hyperspectral sensors Principal component analysis

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Manifold Analysis for Subject Independent Dynamic Emotion Recognition in Video Sequences

Manifold Analysis for Subject Independent Dynamic Emotion Re...

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International Conference on image and Graphics (ICIG)

作者： Fan Ping Jiang Dongmei Wang Fengna Ravyse Ilse Sahli Hichem Interdisciplinary Institute of Broadband Technology (IBBT) ETRO Department Vrije Universiteit Brussel Brussels Belgium Northwestern Polytechnical University Xi'an Shaanxi CN VUB-NPU Joint Research Group on Audio Visual Signal Processing ETRO Department Vrije Universiteit Brussel Brussels Belgium Shaanxi Provincial Key Laboratory on Speech Image and Information Processing Northwestern Polytechnical University Xi'an China Vrije Universiteit Brussel Brussel Brussel BE

This paper proposes subject independent manifold features for dynamic emotion recognition. Facial action features, based on FACs, are firstly embedded into a low-dimensional manifold space using the ISOMAP algorithm, then the manifold features from different subjects are aligned into a global coordinate space by the supervised ISOMAP algorithm for recognition. To validate and evaluate the proposed manifold representation for emotion recognition, experiments with GMMs are presented. Given a new expression sequence, and tracked facial features, we are able to pin-point the actual occurrence of specific expressions, while characterizing its intensity by considering different expression temporal transition characteristics. Finally, experimental results show that our approach is able to separate different expressions successfully.

关键词： Emotion recognition Video sequences Feature extraction Principal component analysis Facial features Eyes Mouth Linear discriminant analysis Humans Graphics

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