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Asian Control Conference

作者： Mohd Shahrieel Mohd Aras Fadilah Abdul Azis Lim Wee Teck Shahrum Shah Abdullah Ahmad Fadzli Nizam Abdul Rahman Underwater Technology Research Group (UTeRG) Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Department of Electronic System Engineering Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia KL Campus Faculty of Information and Computer Engineering Universiti Teknikal Malaysia Melaka

ISBN: (纸本)9781479978632

This paper present the design and development of a small scale underwater Remotely Operated Vehicle (ROV) and modelling the depth response of this ROV using system Identification Toolbox. The design of a small scale ROV has been done to minimize the hydrodynamic force and increase energy efficiency compared to the previous model that was developed by Underwater technology Research Group (UTeRG). The performance of the designed ROV will be tested in UTeRG laboratory (lab tank test). The output signal from the pressure sensor (MPX4250GP) and the Inertial Measurement Unit (IMU) sensor are interpreted via an NI-card which was used for the data transfer. The prototype ROV was compared with the previous version in terms of depth control performance. system identification toolbox in MATLAB was used to infer a model from open-loop experiments. Then the obtained model was used to design a controller for the ROV. The focus of the controller design will be to ensure that the ROV is stable and can maintain position at a certain depth in a real underwater environment. After all the experiment has been conducted, the ROV managed to operate in a certain depth underwater using the controller designed successfully.

关键词： Depth control Unmanned Underwater Remotely Operated Vehicle system Identification Toolbox

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RETRACTED ARTICLE: Support vector regression methodology for prediction of input displacement of adaptive compliant robotic gripper

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Applied Intelligence 2014年第3期41卷 887-896页

作者： Dalibor Petković Shahaboddin Shamshirband Hadi Saboohi Tan Fong Ang Nor Badrul Anuar Nenad D. Pavlović Faculty of Mechanical Engineering Deparment for Mechatronics and Control University of Niš Niš Serbia Department of Computer Science Chalous Branch Islamic Azad University (IAU) Chalous Iran Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Information System Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Engineering Department Islamic Azad University of Karaj Karaj Iran

The prerequisite for new versatile grippers is the capability to locate and perceive protests in their surroundings. It is realized that automated controllers are profoundly nonlinear frameworks, and a faultless numerical model is hard to get, in this way making it troublesome to control utilizing tried and true procedure. Here, a design of an adaptive compliant gripper is presented. This design of the gripper has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to control input displacement of the gripper and to recognize specific shapes of the grasping objects. Since the conventional control strategy is a very challenging task, soft computing based controllers are considered as potential candidates for such an application. In this study, the polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) to estimate and predict optimal inputs displacement of the gripper according to experimental tests and shapes of grasping objects. Instead of minimizing the observed training error, SVR poly and SVR rbf attempt to minimize the generalization error bound so as to achieve generalized performance. The experimental results show that an improvement in predictive accuracy and capability of generalization can be achieved by the SVR approach compared to other soft computing methodology.

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Existence of a coupled system of fractional differential equations

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AIP Conference Proceedings 2015年第1期1682卷

作者： Rabha W. Ibrahim Zailan Siri aMultimedia unit Department of Computer System and Technology Faculty of Computer Science & IT University of Malaya 50603 Kuala Lumpur Malaysia bInstitute of Mathematical Sciences University of Malaya 50603 Kuala Lumpur Malaysia

We manage the existence and uniqueness of a fractional coupled system containing Schrödinger equations. Such a system appears in quantum mechanics. We confirm that the fractional system under consideration admits a global solution in appropriate functional spaces. The solution is shown to be unique. The method is based on analytic technique of the fixed point theory. The fractional differential operator is considered from the virtue of the Riemann-Liouville differential operator.

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Multi-Objective Genetic Algorithm in Solving Conflicted Goals for Questions Generating Problem

Multi-Objective Genetic Algorithm in Solving Conflicted Goal...

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International Conference on Intelligent systems, Modelling and Simulation

作者： Nur Suhailayani Suhaimi Zalinda Othman Siti Nur Kamaliah Kamarudin Norazam Arbin Department of Information System Faculty of Computer Science and Mathematics Universiti Teknologi MARA Department of Information Technology Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Department of Mathematics Faculty of Computer Science and Mathematics Universiti Teknologi MARA

ISBN: (纸本)9781479938599

Multi-objective genetic algorithm (MOGA) has been used for more than a decade to solve real-world optimization problems that have several, and often conflicting objectives. In this research, the conflicting objectives of achieving the maximum accuracy of the solution and at the same time minimizing the redundancy of the optimal solutions in retrieving the best set of exam questions for academicians for a particular subject are highlighted. Hence, the aim of this paper is to solve the multi-objective problem in a chromosome (solution) and also to maintain the fitness of the chromosome. The results of this research are measured based on the similarity achieved between the obtained and desired solutions. By using MOGA, a promising result is obtained with the maximum accuracy and simultaneously, minimizing the redundancy of the genes in a solution.

关键词： Component Multi-objective MOGA Genetic algorithm

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Effectiveness of non-parametric techniques in image retrieval

Effectiveness of non-parametric techniques in image retrieva...

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World Symposium on computer Applications & Research

作者： Tranos Zuva Seleman M. Ngwira Keneilwe Zuva Sunday O. Ojo Department of Computer System Engineering Department of Computer Science University of Botswana Gaborone Botswana Faculty of ICT Tshwane University of Technology South Africa

The need to search for a particular image(s) of interest from an image database or unstructured image collection has led to the search of effective image retrieval systems. To achieve this, there is need to find segmentation, representation and similarity matching algorithms that work in harmony. This study looked at the non-parametric techniques in image retrieval system. The effectiveness of Epanechnikov, Gaussian and Histogram non-parametric algorithms were compared in a generic image retrieval system. The Chan & Vese and Cosine Angle Distance algorithms were used for segmentation and similarity matching respectively. The performance of the non-parametric techniques was measured using recallprecision curve and the Bull's Eye performance score. The estimating techniques performed better than the absolute value technique. The study then looked at the limitations of these techniques.

关键词： Image segmentation Histograms Atmospheric measurements Particle measurements Classification algorithms

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Infrastructure requirement of knowledge management system model of statistical learning tool (SLT) for education community

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AIP Conference Proceedings 2014年第1期1613卷 188-194页

作者： Rusli Abdullah Bahaman Abu Samah Jusang Bolong Jeffrey Lawrence D'Silva Hayrol Azril Mohamed Shaffril Department of Information System Faculty of Computer Science and Information Technology University Putra Malaysia Malaysia Institute of Social Science Studies University Putra Malaysia Malaysia

Today, teaching and learning (T&L) using technology as tool is becoming more important especially in the field of statistics as a part of the subject matter in higher education system environment. Eventhough, there are many types of technology of statistical learnig tool (SLT) which can be used to support and enhance T&L environment, however, there is lack of a common standard knowledge management as a knowledge portal for guidance especially in relation to infrastructure requirement of SLT in servicing the community of user (CoU) such as educators, students and other parties who are interested in performing this technology as a tool for their T&L. Therefore, there is a need of a common standard infrastructure requirement of knowledge portal in helping CoU for managing of statistical knowledge in acquiring, storing, desseminating and applying of the statistical knowedge for their specific purposes. Futhermore, by having this infrastructure requirement of knowledge portal model of SLT as a guidance in promoting knowledge of best practise among the CoU, it can also enhance the quality and productivity of their work towards excellence of statistical knowledge application in education system environment.

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Adaptive Density-based Clustering Algorithms for Data Stream Mining

Adaptive Density-based Clustering Algorithms for Data Stream...

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2012 Third International Conference on Theoretical and Mathematical Foundations of computer Science(ICTMF 2012)

作者： Amineh Amini Teh Ying Wah Department of Information System Faculty of Computer Science and Information TechnologyUniversity of Malaya (UM)50603Kuala LumpurMalaysia

Nowadays,organizations either provide or consume data stream on massive *** such data can reveal up-to-date patterns which are imperative for well-timed ***,data stream mining is conspicuously disparate from traditional mining in several *** alternation data characteristic and real-time response restrictions of streaming data impede existing mining algorithms that were designed for stored *** of the prominent classes of mining algorithms is clustering in which analogous data points are grouped together in a *** significant category in clustering is density-based *** main advantage of density-based clustering is that it can find the arbitrary shape of clusters and provide natural protection against *** these usefulness,it does pose one critical limitation in that it tends not to work very well for data stream because the time complexity is very high for finding all neighboring data *** density-based clustering algorithms have been developed for data streams;however,we need algorithms to alleviate the time complexity to a considerable degree thus rendering density-based clustering algorithms suitable for data stream mining.

关键词： Data Stream Mining,Density-based Clustering Algorithms,Time Complexity

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RETRACTED ARTICLE: Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading

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Bulletin of Earthquake Engineering 2014年第3期13卷 935-952页

作者： Akib, Shatirah Rahman, Sadia Shamshirband, Shahaboddin Petković, Dalibor Department of Civil Engineering University of Malaya Kuala Lumpur Malaysia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science Chalous Branch Islamic Azad University (IAU) Chalous Iran Department for Mechatronics and Control Faculty of Mechanical Engineering University of Niš Nis Serbia

Tsunamis pose a great threat to coastal infrastructures. Bridges without adequate provisions for earthquake and tsunami loading generally are vulnerable when a tsunami occurs. During the last two disastrous tsunami events (i.e., the tsunami in the Indian Ocean and the tsunami that struck Japan), many bridges were damaged by the waves created by the tsunamis. In this paper, in order to address this crucial problem, we used soft computing techniques to design and develop a process that simulates the effects of perforations in the girders of bridges on reducing the forces applied on the bridge when a tsunami occurs. Soft computing methods have very good learning and prediction capabilities, which make it an effective tool for dealing with the uncertainties encountered when waves are generated by a tsunami. Laboratory experiments were conducted to acquire a better understanding of the effects of the factors involved and to check the data required for the soft computing methods. In order to predict the effects of perforations in the girder of a bridge on force reduction, novel intelligent soft computing schemes, support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS) were investigated. In this study, the polynomial, linear, and radial basis function were used as the kernel function of the SVR to estimate the effects of perforations in a girder of a bridge. The performances of the proposed estimators were confirmed by simulation results. The SVR results were compared with the ANFIS results, and we observed that an improvement in predictive accuracy and the ability to generalize were achieved by the ANFIS approach.

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Proposed Novel Multiphase-Multilevel Inverter Configuration for Open-End Winding Loads

Proposed Novel Multiphase-Multilevel Inverter Configuration ...

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European Conference on Power Electronics and Applications

作者： Sanjeevikumar Padmanaban Patrick Wheeler Frede Blaabjerg Ahmet H. Ertas Joseph Olorunfemi Ojo Pawel Szczesniak Ohm Technologies Research and Development Chennai-600 122 India Power Electronics Machines and Control (PEMC) Group Department of Electrical & Electronics Engineering Nottingham University NG7 2RD-Nottingham United Kingdom Center of Reliable Power Electronics (CORPE) Department of Energy Technology Aalborg University 9220-Aalborg Denmark Department of Biomedical Engineering Engineering Faculty Karabuk University Baliklar Kayasi Mevkii 78050 Karabuk Turkey Center for Energy System Research Department of Electrical & Computer Engineering Tennessee Technological University Cookeville 38505-Tennessee United State of America Institute of Electrical Engineering University of Zielona Góra Licealna 9 65417-Zielona Góra Poland

ISBN: (纸本)9781509014101

This paper presents a new multiphase-multilevel inverter configuration for open-winding loads and suitable for medium power (low-voltage/high-current) applications such as 'More Electric Aircraft'. Modular structure comprised of standard dual three-phase voltage source inverter (VSI) along with one additional bi-directional semi-conductor device (MOSFET/IGBT) per phase and two capacitors with neutral point. The additional switches and capacitors are introduced to generate the additional voltage levels in outputs of the VSI. An original modified single carrier five-level modulation (MSCFM) algorithm is developed in this work and overcomes the complexity of standard space vector modulations, easy for real implementation purposes in digital processors. Proposed six-phase multilevel inverter configuration generates multilevel outputs with benefit in comprises with standard multilevel inverter topologies. Further, the complete numerical model of the proposed AC converter along with pulse-width modulation (PWM) is developed with Matlab/PLECS simulation software's. A set of observed results is presented in balanced working condition and always shown good agreement with the theoretical developments.

关键词： Dual three-phase inverter Six-phase inverter Multilevel inverters Multiphase drives Asymmetrical inverters Multiple space vectors Pulse-width modulation

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An On-Chip Digital Environment Monitor for Field Test

An On-Chip Digital Environment Monitor for Field Test

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Asian Test Symposium (ATS)

作者： Seiji Kajihara Yousuke Miyake Yasuo Sato Yukiya Miura School of Computer Science & Systems Engineering Kyushu Institute of Technology Iizuka Japan Faculty of System Design Tokyo Metropolitan University Tokyo Japan

An on-chip environment monitor that can estimate a chip temperature and a power supply voltage has been developed to assist accurate circuit delay measurement by field test. The monitor consists of digital circuits and satisfies several features desired for the field test. This paper describes the architecture of the monitor and how to estimate the temperature and voltage in field, and finally shows simulation and TEG results on estimation accuracy.

关键词： Temperature measurement Temperature sensors Oscillators Voltage measurement Estimation Monitoring Aging

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