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IEEE Vehicular Technology Conference

作者： Dandan Liang Varghese Antony Thomas Xinyi Xu Soon Xin Ng Mohammed El-Hajjar Lajos Hanzo Centre for Communications Systems Research University of Surrey Communications Signal Processing and Control Group School of ECS University of Southampton

ISBN: (纸本)9781479944484

A novel adaptive turbo-coded soft-decision aided differential detection (ATSDD) scheme is proposed for cooperative uplink wireless and Radio-over-fiber (ROF) transmission in a Fractional Frequency Reuse (FFR) based multicell, multiuser system. More specifically, the ATSDD scheme is employed by the Mobile Station (MS) for reliably conveying the source bits to a pair of Remote Antennas (RAs) by appropriately adjusting the modulation mode according to the near-instantaneous wireless and ROF channel conditions. The ATSDD switching thresholds are specifically adjusted for ensuring that the Bit Error Ratio (BER) remains below 10~(-5). We also investigated the effect of phase-rotations, which is routinely inflicted by practical imperfect ROF links. We demonstrate that our ATSDD scheme increases the overall throughput.

关键词： Optical fibers Optical modulation Optical fiber communication Optical attenuators Fiber nonlinear optics

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An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness 6

An Optimal-Pruned Extreme Learning Machine based modelling o...

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6th International Conference on Information Technology and Multimedia, ICIMU 2014

作者： Janahiraman, Tiagrajah V. Ahmad, Nooraziah Centre for Signal Processing and Control Systems Dept of Electronics and Communication Engineering College of Engineering Universiti Tenaga Nasional Jalan IKRAM-UNITEN Kajang Selangor43000 Malaysia Department of Creative Technology Faculty of Creative Technology and Heritage Universiti Malaysia Kelantan Bachok Kelantan Malaysia

ISBN: (纸本)9781479954230

A computer based modelling and prediction method is vital in the field of Computer Numerical control based cutting operation. The final quality of finished surface is mainly influenced by the interaction between the work piece, cutting tool and machining system. Therefore, many researchers attempted to develop an efficient prediction systems for surface roughness before machining. In this paper, Optimal Pruned Extreme Learning Machine (OPELM) is proposed for modelling and predicting surface roughness with respect to its cutting parameters in turning based machining process. The surface roughness models obtained from other methods such as Response Surface Method, Neural Network and Extreme Learning Machine were compared with the experimental results. Our experimental study consist of 15 workpieces that were used for cutting using turning operation. The correlation between the input parameters such as feed rate, cutting speed and depth of cut with surface roughness was modelled using OPELM. Based on our study, OPELM performed the best in modelling and predicting based on unknown set of input. © 2014 IEEE.

关键词： Surface roughness

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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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Detection of VLF and LF emissions of fluorescent light for efficient management of power consumption

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IOP Conference Series: Earth and Environmental Science 2013年第1期16卷

作者： Sharifah Suhaila bt Syed Othman Goh Chin Hock Farah Hani bt Nordin Nur Badariah bt Ahmad Mustafa Nagaletchumi Balasubramaniam Z A M Sharrif Centre of Signal Processing and Control Systems (SPaCS) College of Engineering Universiti Tenaga Nasional Campus Putrajaya Jalan IKRAM-UNITEN 43000 Kajang Selangor Malaysia

In this research work, a detection probe of Very Low Frequency and Low Frequency (LF) emissions of fluorescent light is developed by using low cost loop antenna. The developed loop antenna is able to operate at VLF and LF bandwidth. The developed antenna is tested and measured with signal generator and oscilloscope in order to verify the usefulness of antenna. The developed antenna is subsequently used to detect the signal emitted by the fluorescent light. The antenna probe is located at different distance in order to obtain the peak voltage of received signal. Besides that, the fluorescent light is switch on and off respectively in order to verify the source of signal. From the oscilloscope, the received signal is operating at approximately 28 KHz. Hence, the developed antenna probe can be used for efficient management of power consumption as 28 KHz signal is detected if the light is on.

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Electrical field of electrical appliances versus distance: A preliminary analysis

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IOP Conference Series: Earth and Environmental Science 2013年第1期16卷

作者： Nur Badariah Ahmad Mustafa Farah Hani Nordin Fakaruddin Ali Ahmad Ismail Ammar Ahmed Alkahtani Nagaletchumi Balasubramaniam Goh Chin Hock Z A M Shariff Centre of Signal Processing and Control Systems (SPaCS) College of Engineering Universiti Tenaga Nasional Campus Putrajaya Jalan IKRAM-UNITEN 43000 Kajang Selangor Malaysia

Every household electrical appliance that is plugged in emits electric field even if it is not operating. The source where the appliance is plugged into and the components of household electrical appliance contribute to electric field emission. The electric field may cause unknown disturbance to the environment or also affect the human health and the effect might depends on the strength of the electric field emitted by the appliance. This paper will investigate the strength of the electric field emitted by four different electrical appliances using spectrum analyser. The strength will be captured at three different distances; (i) 1m (ii) 2m and (iii) 3m and analysis of the strength of the electrical field is done based on the three different distances. The measurement results show that the strength of the electric field is strongest when it is captured at 1m and the weakest at 3m from the electrical appliance. The results proved that the farther an object is located from the electrical appliance; the less effect the magnetic field has.

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Effect of measurement noise on the performance of a depth and pitch controller using the model predictive control method

Effect of measurement noise on the performance of a depth an...

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Symposium on Autonomous Underwater Vehicle Technology (AUV)

作者： Leo V. Steenson Alexander B. Phillips Stephen R. Turnock Maaten E. Furlong Eric Rogers Fluid Structure Interactions Research Group University of Southampton Hampshire UK Marine Autonomous and Robotic Systems National Oceanography Centre Hampshire UK Communications Signal Processing and Control Research Group University of Southampton Hampshire UK

In this paper a depth and pitch controller for a hover-capable AUV is designed and implemented in simulation. The effect on controller performance of random Gaussian noise on the feedback signals is evaluated. It has been shown that very small levels of measurement noise will result in the controller performance degrading substantially and behaving in an erratic fashion. A polynomial type filter has been proposed and integrated into the model predictive control algorithm. This modification reduces the effect of the measurement noise substantially and improves controller performance.

关键词： Mathematical model Vectors Noise measurement Trajectory Equations Noise Prediction algorithms

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Effect of highway ramp separation on traffic flow: An investigation using Monte Carlo simulation

Effect of highway ramp separation on traffic flow: An invest...

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Student Conference on Research and Development (SCOReD)

作者： Xin Ci Wong Jacqueline Anna James Agileswari K. Ramasamy Syed Khaleel Ahmed Signal Processing and Control Systems (SPaCS) Research Group Centre for Communications Service Convergence Technologies Department of Electronics and Communication Engineering Universiti Tenaga Malaysia (UNITEN) Selangor Malaysia

Due to urbanization, the number of vehicles on roads has increased to an alarming level causing congestions to happen frequently. Highways are built to ease these congestions that happen due to heavy traffic. However, it is necessary to evaluate the effectiveness of these highways. In this paper, a simulation model of a highway system with two ramps is developed using Markov Chain Monte Carlo technique. The model is then used to study the effect of ramp locations on the highways. The effect due to two important parameters, namely the separation between the ramps and the number of vehicles entering the system, is investigated here. The performance of this system is measured in terms of average delay experienced by the vehicles. Results obtained indicate that traffic behavior on the highway can be modeled accurately using this method.

关键词： Vehicles Delay Roads Topology Markov processes Computational modeling

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The Mimo Predictive Pid controller Design

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Asian Journal of control 2008年第4期4卷

作者： M.H. Moradi M.R. Katebi M.A. Johnson Department of Electronic and Electrical Engineering University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the

This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.

关键词： PID control design predictive PID MIMO controller optimisation

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Generalised transfer functions of neural networks

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MECHANICAL systems AND signal processing 1997年第6期11卷 843-868页

作者： Fung, CF Billings, SA Zhang, H Centre for Signal Processing S2-B4-O8 School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD U.K. Predictive Control Limited Richmond House Gadbrook Business Centre Northwich Cheshire CW9 7TN U.K.

When artificial neural networks are used to model non-linear dynamical systems, the system structure, which can be extremely useful for analysis and design, is buried within the network architecture. In this paper, explicit expressions for the frequency response or generalised transfer functions of both feedforward and recurrent neural networks are derived in terms of the network weights. The derivation of the algorithm is established on the basis of the Taylor series expansion of the activation functions used in a particular neural network. This leads to a representation which is equivalent to the non-linear recursive polynomial model and enables the derivation of the transfer functions to be based on the harmonic expansion method. By mapping the neural network into the frequency domain information about the structure of the underlying non-linear system can be recovered. Numerical examples are included to demonstrate the application of the new algorithm. These examples show that the frequency response functions appear to be highly sensitive to the network topology and training, and that the time domain properties fail to reveal deficiencies in the trained network structure. (C) 1997 Academic Press Limited.

关键词： Neural networks

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A MULTI-D-TRELLIS DECODER FOR A 155-MB/S CONCATENATED CODEC

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS 1994年第6期12卷 539-553页

作者： PIETROBON, SS KASPARIAN, JJ GRAY, PK Australian Space Centre for Signal Processing University of South Australia Warrendi Road The Levels SA 5095 Australia Born in Naracoorte SA on 5 October 1963. He received the B. Eng. and M. Eng. degrees in electronic engineering from the South Australian Institute of Technology (SAIT now University of South Australia) Adelaide SA in 1986 and 1989 respectively and the Ph.D. degree in electrical engineering from the University of Notre Dame Notre Dame Indiana USA. in 1991. He received a SAIT Medal for outstanding academic achievement for his B. Eng. degree. n 1991 he joined the Australian Space Centre for Signal Processing University of South Australia as a Research Fellow. In 1993 he was awarded a three-year Australian Postdoctoral Research Fellowship at the University of South Australia. His research interests include convolutional coding trellis coded modulation satellite and deep space communications and implementation of Viterbi and trellis decoders. Dr. Pietrobon has been a member of the IEEE since 1986. He belongs to the Information Theory Society and Communications Society. Born in Mount Gambier SA on 30 January 1962. He received the B. Eng. degree in electronic engineering from the South Australian Institute of Technology (SAIT now University of South Australia) Adelaide SA in 1990. He received a SAIT medal for outstanding academic achievement for his degree. In 1991 he received an Australian Postgraduate Research Award with the Australian Space Centre for Signal Processing University of South Australia where he is carrying out research in the area of error control coding in satellite Systems. Particular interests are in the areas of Viterbi decoding and design and implementation of high speed codecs for satellite applications. Mr. Kasparian has been a student member of the IEEE since 1990. He belongs to the Information Theory Society and Communications Society. Born in Adelaide SA on 23 February 1965. He received the. B. Eng. and M. Eng. degrees in electronic engineering from th

An implementation of a 16 state, rate 8/9 six-dimensional (6-D) 8PSK rotationally invariant trellis decoder for use in a concatenated codec is described. The concatenated codec allows transmission of STM-1 signals (at the 155.52 Mb/s information rate) over a 72 MHz satellite transponder. The inner trellis decoder is used with an outer (255,239) RS block decoder. The trellis decoder operates at 165.93 Mb/s and currently has an implementation loss of only 0.2 dB. The concatenated codec achieves a bit error ratio of 10(-10) at an E(b)/N-0 of 8.2 dB (assuming an ideal modem and AWGN channel). Details are given of many Viterbi decoding 'tricks' that were used in order to implement the main functions of the decoder on two 10,000 gate equivalent CMOS programmable gate arrays.

关键词： MULTIDIMENSIONAL TRELLIS CODES TRELLIS DECODING 8PSK MODULATION BISDN

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