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Asilomar Conference on signals, Systems & computers

作者： Min Lin Jian Ouyang Wei-Ping Zhu National Mobile Communications Research Laboratory Southeast University Nanjing P.R. China PLA University of Science and Technology Nanjing P.R. China Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing P.R. China Department of Electrical and Computer Engineering Concordia University Montreal QC Canada

ISBN: (纸本)9781479982981

The paper investigates the performance of a hybrid satellite-terrestrial cooperative network (HSTCN), where some terrestrial amplify-and-forward (AF) relays are employed to assist the signal transmission from a satellite to a destination, which is corrupted by multiple co-channel interferences (CCIs). In this system, the satellite links undergo Shadowing-Rician fading while the terrestrial links experience Rayleigh fading. Specifically, by assuming that maximum ratio combining (MRC) is used at the destination, we first derive the moment generating function (MGF) of the output signal-to-interference-plus-noise ratio (SINR). With the help of MGF, we then present the analytical average symbol error rate (ASER) expression for the considered cooperative system. Moreover, to gain further insights, the asymptotic ASER analysis in terms of the diversity order and array gain is also developed. Finally, numerical results are given to demonstrate the validity of the performance analysis and the impacts of shadowing parameters, relay number and CCIs on the considered HSTCN.

关键词： Relays Satellites signal to noise ratio Fading Cooperative systems Shadow mapping Modulation

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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Effects of delay profile of fading channels on the performance of WCDMA

Effects of delay profile of fading channels on the performan...

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2013 International Conference on Advanced Technologies for Communications, ATC 2013

作者： Huynh, Huu Tue Li, Wei Fortier, Paul School of Electrical Engineering International University Vietnam National University Hochminh City Viet Nam Telecommunications and Signal Processing Laboratory Department of Electrical and Computer Engineering Laval University Quebec City QC G1V 0A6 Canada

ISBN: (纸本)9781479910861

This paper analyzes the effect of an indoor frequency selective fading channel, characterized by its power delay profile, on the performance of an asynchronous DS-CDMA system with high transmission rate (50 Mb/s or more). The bit error rate (BER) is determined by the characteristic function method and by Monte-Carlo simulations. The results show that when the rms delay spread is close to the transmitted symbol duration, the system performance degrades considerably and that the performance degradation strongly depends on the maximum delay spread. © 2013 IEEE.

关键词： Code division multiple access

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Vocal source features for bilingual speaker identification

Vocal source features for bilingual speaker identification

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IEEE China Summit & International Conference on signal and Information processing (ChinaSIP)

作者： Jianglin Wang Michael T. Johnson Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Milwaukee USA

This paper introduces the use of two new features for speaker identification, Residual Phase Cepstrum Coefficients (RPCC) and Glottal Flow Cepstrum Coefficients (GLFCC), to capture speaker-specific characteristics from their vocal excitation patterns. Results on a cross-lingual speaker identification task taken from the NIST 2004 SRE demonstrate that these RPCC and GLFCC features are significantly more accurate than traditional mel-frequency cepstral coefficients (MFCC). In particular, these two new features give better results with smaller amounts of training data, due to lower model complexity.

关键词： Speech Mel frequency cepstral coefficient Accuracy Speaker recognition Feature extraction Adaptation models Filtering

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Sonifying HTML tables for audio-spatially enhanced non-visual navigation

Sonifying HTML tables for audio-spatially enhanced non-visua...

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IEEE Southeastcon

作者： Jonathan Cofino Armando Barreto Fatemeh Abyarjoo Francisco R. Ortega Digital Signal Processing Laboratory Department of Electrical and Computer Engineering Florida International University Miami FL USA

ISBN: (纸本)9781479900527

Computing is now ubiquitous. Accessing the Internet is increasingly common from mobile devices through cellular networks. The Internet is now used for shopping, communicating, and for finding employment and housing. More information is readily available than at any time in human history; however, this information is often inaccessible to people with blindness or low-vision. In order to increase access to information for these individuals, information must be presentable in non-visual formats. Presently, screen readers are able to verbalize on-screen text using text-to-speech (TTS) synthesis; however, this vocalization is inadequate for browsing the Internet. Modern operating systems have generally relied on a graphical display and a mouse for interfacing. For individuals with vision loss, we propose to create and test an auditory interface that incorporates an auditory-spatial orientation with a standard keyboard for input. If information can be structured as a two-dimensional table, each link can be semantically grouped as a cell in a row within the auditory table. This provides a consistent structure for non-visual auditory navigation. After testing the auditory display prototype with 13 participants, it was shown that stereo panning was an effective technique for audiospatially orienting non-visual navigation through a five-row, six-column HTML table as compared to a centered, stationary synthesized voice. Rather than be left out of ubiquitous computing, blind and low-vision individuals may benefit from increased efficiency and accuracy in non-visual navigation. This finding may also stimulate interest in non-visual computing while performing other tasks, such as walking, eating, or driving.

关键词： Navigation Testing Speech Browsers HTML Internet Arrays

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A single channel-single trial P300 detection algorithm

A single channel-single trial P300 detection algorithm

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Iranian Conference on electrical engineering (ICEE)

作者： Neda Haghighatpanah Rasoul Amirfattahi Vahid Abootalebi Behzad Nazari Digital signal processing research Laboratory department of Electrical & Computer Engineering Isfahan University of technology Isfahan Iran Electrical & Computer Engineering Department Yazd University Yazd Iran

A Brain computer Interface (BCI) system allows the users to communicate with their surroundings without using any muscle activity. Many of these systems are based on the analysis of Event Related Potentials (ERPs) such as P300. P300 speller is one of the common BCI systems which attract a lot of attention; however, there are still a lot of flaws in these systems which should be considered. Since ERPs such as P300 signals have a very low signal to Noise Ratio (SNR), single trial analysis of these signals is difficult and in many papers, denoising methods such as synchronous averaging were proposed to reduce random noise; however, it reduces the communication rate greatly. Another major problem in many BCI applications is the numerous number of channels needed to record EEG signals in order to have a reliable system. In this paper, a new method is presented to detect P300 signals through single channel data analysis and also it reaches an average accuracy of 65% in single trial P300 detection.

关键词： Electroencephalography Feature extraction Algorithm design and analysis Wavelet transforms Standards Detection algorithms Accuracy

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Relationship exploration among PPI, ATGP and VCA via theoretical analysis

Relationship exploration among PPI, ATGP and VCA via theoret...

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作者： Chang, Chein-I. Wen, Chia-Hsien Wu, Chao-Cheng Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory University of Maryland 1000 Hilltop Circle Baltimore MD 21250 United States Department of Computer Science and Information Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University 200 Taiwan Boulevard Shalu Dist. Taichung City 43301 Taiwan Department of Electrical Engineering National Taipei University of Technology 1 Zhongxiao E. Rd. Taipei 106 Taiwan

The principle of orthogonality using orthogonal projection (OP) is the key concept to develop mean squared error estimation theory in signal processing and communications. It has also found its way in a wide variety of applications in hyperspectral imaging. This paper explores close relationships among three OP-based algorithms, pixel purity index (PPI), vertex component analysis (VCA) in endmember extraction, automatic target generation process (ATGP) in mixed pixel classification and target detection, etc. and further shows that they indeed can be interpreted one way or another. Specifically, VCA and ATGP are essentially the same algorithm in the sense that they both extract targets via maximal OP from a nested sequence of successive orthogonal subspace projection spaces. Copyright © 2013 Inderscience Enterprises Ltd. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Hyperspectral imaging

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Iron ore green pellet diameter measurement by using of image processing techniques

Iron ore green pellet diameter measurement by using of image...

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Iranian Conference on electrical engineering (ICEE)

作者： Mahdi Heydari Rassoul Amirfattahi Behzad Nazari Alireza Bastani Digital Signal processing Research Laboratory Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Department of Mechanical Engineering Isfahan University of Technology Isfahan Iran

Automatic Quality control is a vital process in many manufacturing process such as steel industry. Pellet size monitoring and control is a critical process which is done in steel making to improve quality of products. According to the technical reports, pellet size should be fall in the range of 9-16 mm in diameter. Larger or smaller pellets could degrade the final products and impose extra overheads to industry. In this paper, a new method is proposed for measuring the pellet size using practical Image processing algorithms. In this method, active contour with Chen-Vese method is used to eliminate the images backgrounds and achieving a distinguishable plot of the objects. After detecting distinct elements existing in the image, the number of pellets in each object is determined and each object is classified as singular, double, triple or more pellets using an SVM classifier. Finally, morphological methods are used to estimate the real size of pellets and the pellets size histogram is presented. This practical method was applied in Mobarakeh Steel Complex, where the method was tested on about 1000 prototypes. Results showed that we have 95.1% of accuracy for detection of one pellet elements and in classification by SVM 95.6% of elements were classified correctly.

关键词： Support vector machines Image edge detection Iron Active contours Finite impulse response filters Steel Accuracy

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Scalable user-adaptive multiview video coder

Scalable user-adaptive multiview video coder

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International Conference on Digital signal processing (DSP)

作者： Vladan Velisavljevic Jacob Chakareski Vladimir Stankovic Department of Computer Science & Technology University of Bedfordshire Luton UK Signal Processing Laboratory EPFL Lausanne Switzerland Department Electronic & Electrical Engineering University of Strathclyde Glasgow UK

ISBN: (纸本)9781467358064

We derive an optimization framework for joint view and rate scalable coding of multi-view video content represented in the texture plus depth format. The optimization enables the sender to select the subset of coded views and their encoding rates such that the aggregate distortion over a continuum of synthesized views is minimized. We construct the view-rate scalable bitstream such that it delivers optimal performance simultaneously over a discrete set of transmission rates. In conjunction, we develop a user interaction model that characterizes the view selection actions of the client as a Markov chain over a discrete state-space. Our scheme outperforms the state-of-the-art H.264 SVC codec as well as a multi-view wavelet-based coder equipped with a uniform rate allocation strategy, across all scenarios studied. Finally, we observed that the interactivity-aware coding delivers superior performance over conventional allocation techniques that do not anticipate the client's view selection actions in their operation.

关键词： Encoding Static VAr compensators Bit rate PSNR Cameras Resource management Codecs

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Unsupervised activity clustering to estimate energy expenditure with a single body sensor

Unsupervised activity clustering to estimate energy expendit...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Shanshan Chen John Lach Oliver Amft Marco Altini Julien Penders Charles L. Brown Department of Electrical & Computer Engineering University of Virginia Charlottesville USA ACT Laboratory Signal Processing Systems Eindhoven University of Technology Eindhoven Netherlands IMEC Netherlands Eindhoven Netherlands

ISBN: (纸本)9781479903313

Body sensor networks (BSNs) have provided the opportunity to monitor energy expenditure (EE) in daily life and with that information help reduce sedentary behavior and ultimately improve human health. Current approaches for EE estimation using BSNs require tedious annotation of activity types and multiple body sensor nodes during data collection and high accuracy activity classifiers during post processing. These drawbacks impede deploying this technology in daily life — the primary motivation of using BSNs to monitor EE. With the goal of achieving the highest EE estimation accuracy with the least invasiveness and data collection effort, this paper presents an unsupervised, single-node solution for data collection and activity clustering. Motivated by a previous finding that clusters of similar activities tend to have similar regression models for estimating EE, we apply unsupervised clustering to implicitly group activities with homogeneous features and generate specific regression models for each activity cluster without requiring manual annotation. The framework therefore does not require specific activity classification, hence eliminating activity type labels. With leave-one-subject-out cross-validation across 10 subjects, an RMSE of 0.96 kcal/min was achieved, which is comparable to the activity-specific model and improves upon a single regression model.

关键词： Feature extraction Data collection Accuracy Estimation Electrocardiography Accelerometers Heart rate

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