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IEEE Global engineering Education Conference

作者： Hassan M. H. Mustafa Ayoub Al-Hamadi Nosipho Dladlu Nada M. Al-Shenawy Eyas El-Qwasmeh Computer Engineering Department Faculty of Engineering Al-Baha University Institute for Electronics Signal Processing and Communications (IESK) Otto-von-Guericke-University Department of Computer Science Faculty of Agriculture Science and Technology North West University Computer and Control Department Faculty of Engineering Tanta University Department of information systems College of Computer & Information Sciences King Saud University

ISBN: (纸本)9781479931927

This paper explores a relatively new methodological approach for the field integrating learning and education, with other research areas, such as neurobiological, cognitive, and computational sciences. Specifically, presented work is an interdisciplinary piece of research aiming to simulate appropriately a challenging and critical issue concerned with academic performance in e-learning systems. Namely, considering face to face tutoring phenomenon observed while an interactive e-learning process is performed. Referring to strong interest announced by educationalists to know how neurons' synapses inside the brain are interconnected. Together to perform communication processing among brain regions. Herein, a special attention has been developed towards dynamical academic evaluation of timely based brain learning via face to face (FTF) interactive tutoring. In other words, this piece of research presents an interdisciplinary realistic dynamic investigation. For academic performance phenomenon associated with e-learners' contribution as time response performed human's brain neuronal function. Accordingly, Artificial Neural Networks (ANN~s) have been adopted for realistic modeling of academic performance evaluation based on timely dependant student's response till attaining learning convergence (desired output). After running of designed realistic simulation program, some interesting results have been presented. Interestingly, individual differences' phenomenon observed via after statistical analysis of obtained simulation results.

关键词： Artificial neural network modeling E-Learning Performance Evaluation Synaptic Connectivity Multiple choice questions

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Beamforming antennas for 60 GHz positioning systems

Beamforming antennas for 60 GHz positioning systems

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European Conference on Antennas and Propagation, EuCAP

作者： Anna Papió Papió Toda Jordi Romeu Lluís Jofre Franco De Flaviis Electrical Engineering and Computer Science Dept. University of California Irvine California USA Department of Signal Theory and Communications Universitat Politècnica de Catalunya Barcelona Spain

In this paper we analyze the benefit of using phased arrays as the receiving antennas of indoor location systems. A 60 GHz code division multiple access carrier-based ultra-wide band positioning system for the simultaneous location of diverse markers is considered. The positioning error in an indoor environment is assessed when omnidirectional antennas are used at the receiving sensors and when they are substituted by beamforming antennas. Results show that beamforming systems can effectively mitigate the multipath effects and achieve positioning accuracies close to those achievable in free space scenarios. The performance of omnidirectional systems is severely degraded by multipath and multiple access interference.

关键词： Receiving antennas Accuracy Array signal processing Sensors

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On the performance of hybrid satellite-terrestrial cooperative networks with interferences

On the performance of hybrid satellite-terrestrial cooperati...

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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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Pattern synthesis for sparse MIMO radar arrays using multistage Genetic Algorithm

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Journal of Information and Computational science 2013年第18期10卷 6139-6150页

作者： He, Jie Feng, Dazheng Younan, N.H. Ma, Lun School of Information Engineering Chang'an University Xi'an 710064 China National Lab. of Radar Signal Processing Xidian University Xi'an 710071 China Department of Electrical and Computer Engineering Mississippi State University MS 39762 United States

Ambiguities, grating lobs, caused by high sparseness of array significantly degrade the performance of pattern synthesis for Multiple-input Multiple-output (MIMO) radar systems. In this paper, the optimization of sparse array pattern synthesis for orthogonal MIMO radar is presented based on multistage Genetic Algorithm (GA). Upon simultaneously optimizing the geometries of transmit and receive antennas, maximum Degrees of Freedom (DOF) and low grating lobs level can be obtained in our research. Numerical examples are provided to demonstrate the effectiveness of the proposed method. © 2013 Binary Information Press.

关键词： Genetic algorithms

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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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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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On the Throughput of Two-Way Relay Systems under Queueing Constraints

On the Throughput of Two-Way Relay Systems under Queueing Co...

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IEEE Global communications Conference

作者： Yi Li Deli Qiao M. Cenk Gursoy Senem Velipasalar Department of Electrical Engineering and Computer Science Syracuse University Communications Technology Lab. Huawei Technologies

ISBN: (纸本)9781479913510

In this paper, throughput of two-way relaying under buffer constraints is studied. In the two-way relay system, source nodes initially send their messages to the relay in the multiple-access phase. Relay decodes and stores the messages from different sources in different buffers and subsequently broadcasts a superimposed signal. It is assumed that both source nodes and the relay operate in the presence of statistical queueing constraints. Under these assumptions, arrival rates that can be supported in this system are investigated through the logarithmic moment generating functions of the arrival and service processes. In particular, after identifying the service rates in the multiple-access and broadcast phases and addressing the stability conditions, characterizations of the maximum arrival rates are provided in terms of system resource allocation parameters, signal-to-noise ratios, and quality-of-service exponents. Impact of different parameters on the performance is investigated through numerical results.

关键词： Relay systems Throughput Bidirectional relay multiple access Messages arrival rate Queue Message relay signal to noise ratios

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AN UNCERTAINTY DECODING APPROACH TO NOISE- AND REVERBERATION-ROBUST SPEECH RECOGNITION

AN UNCERTAINTY DECODING APPROACH TO NOISE- AND REVERBERATION...

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IEEE International Conference on Acoustics, Speech, and signal processing

作者： Roland Maas Akshaya Thippur Armin Sehr Walter Kellermann Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Erlangen Germany Computer Vision and Active Perception Lab School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden Beuth University of Applied Sciences Berlin Department VII Berlin Germany

ISBN: (纸本)9781479903573

The generic REMOS (Reverberation Modeling for robust Speech recognition) concept is extended in this contribution to cope with additional noise components. REMOS originally embeds an explicit reverberation model into a hidden Markov model (HMM) leading to a relaxed conditional independence assumption for the observed feature vectors. During recognition, a nonlinear optimization problem is to be solved in order to adapt the HMMs' output probability density functions to the current reverberation conditions. The extension for additional noise components necessitates a modified numerical solver for the nonlinear optimization problem. We propose an approximation scheme based on continuous piecewise linear regression. Connected-digit recognition experiments demonstrate the potential of REMOS in reverberant and noisy environments. They furthermore reveal that the benefit of an explicit reverberation model, overcoming the conditional independence assumption, increases with increasing signal-to-noise-ratios.

关键词： automatic speech recognition reverberation robustness noise robustness uncertainty decoding piecewise linear regression Speech recognition Hidden Markov models Noise robustness Linear Regression Reverberation DECODING Additive noise Conditional Independence Uncertainty

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Optimum weight selection based LQR formulation for the design of fractional order PIλDμ controllers to handle a class of fractional order systems

Optimum weight selection based LQR formulation for the desig...

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International Conference on computer Communication and Informatics (ICCCI)

作者： Saptarshi Das Indranil Pan Kaushik Halder Shantanu Das Amitava Gupta Department of Power Engineering Jadavpur University Kolkata India Communications Signal Processing and Control Group School of Electronics and Computer Science University of Southampton Southampton UK Department of Electronics and Instrumentation Engineering National Institute of Science and Technology Berhampur Orissa India Reactor Control Division Bhabha Atomic Research Centre Mumbai India

ISBN: (纸本)9781467329064

A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared Controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PI λ D μ controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique that minimizes the change in trajectories of the state variables and the control signal. A class of fractional order systems having single non-integer order element which show highly sluggish and oscillatory open loop responses have been tuned with an LQR based FOPID controller. The proposed controller design methodology is compared with the existing time domain optimal tuning techniques with respect to change in the trajectory of state variables, tracking performance for change in set-point, magnitude of control signal and also the capability of load disturbance suppression. A real coded genetic algorithm (GA) has been used for the optimal choice of weighting matrices while designing the quadratic regulator by minimizing the time domain integral performance index. Credible simulation studies have been presented to justify the proposition.

关键词： Tuning Time domain analysis Regulators Minimization Performance analysis Process control Genetic algorithms

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Adaptive image compression using sparse dictionaries

Adaptive image compression using sparse dictionaries

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2012 19th International Conference on Systems, signals and Image processing, IWSSIP 2012

作者： Horev, Inbal Bryt, Ori Rubinstein, Ron Signal and Image Processing Lab. Department of Electrical Engineering Technion Haifa Israel Geometric Image Processing Lab. Department of Computer Science Technion Haifa Israel

ISBN: (纸本)9783200023284

Transform coding is a widely used image compression technique, where entropy reduction can be achieved by decomposing the image over a dictionary which provides compaction. Existing algorithms, such as JPEG and JPEG2000, utilize fixed dictionaries which are shared by the encoder and decoder. Recently, works utilizing content-specific dictionaries show promising results by focusing on specific classes of images and using highly specialized dictionaries. However, such approaches lose the ability to compress arbitrary images. In this paper we propose an input-adaptive compression approach, which encodes each input image over a dictionary specifically trained for it. The scheme is based on the sparse dictionary structure, whose compact representation allows relatively low-cost transmission of the dictionary along with the compressed data. In this way, the process achieves both adaptivity and generality. Our results show that although this method involves transmitting the dictionary, it remains competitive with the JPEG and JPEG2000 algorithms. © 2012 Institute of Telecommunica.

关键词： Image compression

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