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IEEE Conference on Innovative Technologies in Intelligent systems and Industrial Applications (CITISIA)

作者： Azlan Mohd Zain Habibollah Haron Safian Sharif Faculty of Computer Science & Information System Universiti Teknologi Malaysia Skudai Johor Malaysia Department of Modeling & Industrial Computing Faculty of Computer Science & Information System Universiti Teknologi Malaysia Skudai Johor Malaysia Department of Manufacturing & Industrial Engineering Faculty of Mechanical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

This paper presents the capability of genetic algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the surface roughness (R a ) value in milling process. The optimal machining parameters are generated using MATLAB optimization toolbox. Regression technique is applied to create the surface roughness predicted equation to be taken as a fitness function of the GA. Result of this study indicated that the GA technique capable to estimate the optimal cutting conditions that yields to the minimum R a value. With high speed, low feed and high radial rake angle of the cutting conditions rate, GA technique recommended 0.17533 mum as the best minimum predicted surface roughness value. Consequently, the GA technique has decreased the minimum surface roughness value of the experimental data by about 25.7%.

关键词： Genetic algorithms Metalworking machines Rough surfaces Surface roughness Machining Milling MATLAB Equations Yield estimation Feeds

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Lightpath reconfiguration management system for IP-over-CWDM networks with ROADMs, based on equivalent graph method

Lightpath reconfiguration management system for IP-over-CWDM...

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2009 IEEE Region 10 Conference, TENCON 2009

作者： Zahilah, Raja Nishiuma, Soichiro Nooruzzaman, M.D. Thuy, Nguyen Thi Thanh Koyama, Osanori Katsuyama, Yutaka Graduate School of Engineering Osaka Prefecture University Gakuen-cho 1-1 Naka-ku Sakai Osaka 599-8531 Japan Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia 81310 UTM Skudai Johor Bahru Johor Malaysia

ISBN: (纸本)9781424445479

Lightpath reconfiguration management system has been designed and implemented for IP-over-CWDM networks with ROADMs. The system can search possible lightpaths made by ROADMs with specified switch states. The function is based on an equivalent graph method proposed for representing the ROADMs, and can output lightpaths in the network together with the total loss values. The system enables the network administrators to manage the lightpath reconfigurations effectively without errors by avoiding making unlinked lightpaths through routes with higher losses to connect nodes, before the reconfiguration. ©2009 IEEE.

关键词： Internet protocols

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Remote wireless low cost RT process control using windows PLC by MATLAB/Simulink throw the REX control system

Remote wireless low cost RT process control using windows PL...

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2009 5th IEEE GCC Conference and Exhibition, GCC 2009

作者： Krejcar, Ondrej Konarik, Petr VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Measurement and Control Centre for Applied Cybernetics 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic VSB-Technical University of Ostrava Faculty of Mechanical Engineering Department of Control System and Instrumentation 17. listopadu 15 708 33 Ostrava-Poruba Czech Republic

ISBN: (纸本)9781424438853

Paper shows direct connection and implementation way of designed control schemas of prepared applications to an industrial WinPLC. Paper deals with industrial realization of feedback control of demanding applications on their control, control algorithms and visualization together with design, implementation and real time control from MATLAB/Simulink Environment. Described is a way to produce a permanent solution in control applications that are fully prepared, designed and implemented directly from MATLAB/Simulink to the target control platform. As a part, the mentioned solution is using a multiplatform control system REX as a bridge between MATLAB and target platforms. These methods allow minimizing costs of development of control of applications, because it produces target permanent realizations in comparison to classical development methods that usually need expensive real time measurement cards and produce only one purpose development solution. As next benefit the application is created for visualization the data from RT database during the measurement and control process. This last benefit produce an interesting data from real control process to give a next reason to use of WinCon solution.

关键词： Visualization

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A Metrics Suite for Measuring Reusability of Learning Objects

A Metrics Suite for Measuring Reusability of Learning Object...

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International Conference on Intelligent systems Design and Applications (ISDA)

作者： Siti Fadzilah Mat Noor Norazah Yusof Siti Zaiton Mohd Hashim Department of Information Science Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia Department of Software Engineering Faculty of Computer Science & Information System Universiti Teknologi Malaysia Skudai Malaysia

Learning Object (LO) is one of the main research topics in the E-Learning community in the recent years, and most researchers pay attention to the issue of Learning Object Reusability. The most obvious motivation is the economic interest of reusing learning material instead of repeatedly authoring it. Reusability requires the LO to be in a fine-grain form because raw media elements are often much easier to reuse than aggregate assemblies. In other words, as the LO size decreases (lower granularity), its potential for reuse increases. Therefore, when designing learning objects, reusability must be considered as a key consideration. This paper shows how we adapted and applied some of the metrics from the software engineering field for the purpose of measuring reusability of learning objects.

关键词： Software engineering Software measurement Electronic learning Information science Aggregates Assembly Animation Intelligent systems Application software computer science

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Review of ANN Technique for Modeling Surface Roughness Performance Measure in Machining Process

Review of ANN Technique for Modeling Surface Roughness Perfo...

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Asia International Conference on Modeling & Simulation

作者： Azlan Mohd Zain Habibollah Haron Safian Sharif Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor Malaysia Faculty of Mechanical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9781424441549

The former, which is defined as modeling of machining processes, is essential to provide the basic mathematical models for formulation of the certain process objective functions. With conventional approaches such as statistical regression technique, explicit models are developed that required complex physical understanding of the modeling process. With non conventional approaches or artificial intelligence techniques such as artificial neural network, fuzzy logic and genetic algorithm based modeling, implicit model are created within the weight matrices of the net, rules and genes that is easier to be implemented. With the focus on surface roughness performance measure, this paper outlines and discusses the concept, application, abilities and limitations of artificial neural network in the machining process modeling. Subsequently the future trend of artificial neural network in modeling machining process is reported.

关键词： Rough surfaces Surface roughness Machining Mathematical model Artificial neural networks Predictive models Artificial intelligence Response surface methodology Analytical models Fuzzy logic

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Threats Identification in Healthcare Information systems using Genetic Algorithm and Coz Regression

Threats Identification in Healthcare Information Systems usi...

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The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

作者： Rabiah Ahmad Ganthan Narayana Samy Nuzulha Khilwani Ibrahim Peter A.Bath Zuraini Ismail Centre for Advanced Software Engineering (CASE) Faculty of Computer Science and Information Systems Department of Computer Systems and Communications Faculty of Computer Science and Information System Department of Information Studies University of Sheffield UK Department of Science College of Science and Technology Universiti Teknologi Malaysia (UTM) Malaysia

ISBN: (纸本)9781424451012

Threats to information security for healthcare information system increased tremendously. There are various factors contribute to information security threats, many researchers focused only to certain factors which interest them (e.g., virus attack). Certain factors which may be important remain unexplored. In addition, lack of tools and technologies directed to limited number of threats traced in healthcare system. Thus it introduces bias in threat analysis. This study explored the use of biological computational termed Genetic Algorithm (GAs) combined with Cox regression (CoRGA) in identifying a potential threat for healthcare system. The results show that variable described “misused of e-mail” is the major information security threats for healthcare system. Results were compared with manual analysis using the same data, and it is shows that GAs not just introducing new threats for healthcare system but it was similar with others threats proposed by previous researches.

关键词： Healthcare Information systems (HIS) Risk Analysis Threats Information Security Genetic Algorithm and Coz Regression

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Application of Regression and ANN Techniques for Modeling of the Surface Roughness in End Milling Machining Process

Application of Regression and ANN Techniques for Modeling of...

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Asia International Conference on Modeling & Simulation

ISBN: (纸本)9781424441549

Development of mathematical models to predict the values of performance measure is important in order to have a better understanding of the machining process. Surface roughness is one of the most common performance measures in machining process and an effective parameter in representing the quality of machined surface. The minimization of the machining performance measures such as surface roughness must be formulated in the standard mathematical model. To predict the minimum values of surface roughness, the process of modeling is taken in this study. The developed model deals with real experimental data of the surface roughness performance measure in the end milling machining process. Two modeling approaches, regression and artificial neural network techniques are applied to predict the minimum value of surface roughness. The result of the modeling process indicated that artificial neural network technique gave a better prediction of surface roughness compared to the result of regression technique.

关键词： Rough surfaces Surface roughness Metalworking machines Predictive models Artificial neural networks Machining Mathematical model Analytical models Equations Milling

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A bit-serial sum of absolute difference accelerator for variable block size motion estimation of H.264

A bit-serial sum of absolute difference accelerator for vari...

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IEEE Conference on Innovative Technologies in Intelligent systems and Industrial Applications (CITISIA)

作者： Mohammad Reza H. Fatemi Hasan F. Ates Rosli Salleh Department of Computer System & Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Electronics Engineering Isik University Istanbul Turkey

Bit-serial architectures offer a number of attractive features over their bit-parallel counterparts such as smaller area cost, lower density interconnection, a reduced number of pins, higher clock frequency, simpler routing and etc. These attractive features make them suitable for using in VLSI design and reduce overall production cost. In this paper, we propose the first least significant bit (LSB) bit-serial sum of absolute difference (SAD) hardware accelerator for integer variable block size motion estimation (VBSME) of H.264. This hardware accelerator is based on a previous state-of-art bit-parallel architecture namely propagate partial SAD. In order to reduce area cost and improve throughput, pixel truncation technique is adopted. Due to the bit-serial pipeline architecture and using small processing elements, our architecture works at much higher clock frequency (at least 4 times) and reduces area cost about 32% compared with its bit-parallel counterpart. The proposed hardware accelerator can be used in different disciplines from low bit rate to high bit rate by making a tradeoff between the degree of parallelism or using fast algorithm or a combination of both.

关键词： Motion estimation Costs Hardware Clocks Frequency Bit rate Pins Routing Very large scale integration Production

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Processing of brain signals by using hemodynamic and neuroelectromagnetic modalities

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Computational intelligence and neuroscience 2010年第1期2010卷 934180页

作者： Laura Astolfi Sara Gonzalez Andino Fabrizio De Vico Fallani Fabio Babiloni IRCCS Fondazione Santa Lucia Via Ardeatina 306 00179 Roma Italy Department of Computer Science and System Faculty of Engineering Via Ariosto 25 University of Rome “Sapienza” 00185 Rome Italy Electrical Neuroimaging Group Department of Clinical Neuroscience University of Geneva 1211 Geneva 14 Switzerland Department of Physiology and Pharmacology University of Rome “Sapienza” 00185 Rome Italy

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Pathway-Based Microarray Analysis for Defining Statistical Significant Phenotype-Related Pathways: A Review of Common Approaches

Pathway-Based Microarray Analysis for Defining Statistical S...

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International Conference on Information Management and engineering, ICIME

作者： M.F. Misman S. Deris S.Z.M. Hashim R. Jumali M.S. Mohamad Artificial Intelligence and Bioinformatics Laboratory Department of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor Malaysia

ISBN: (纸本)9781424437740

In this review, we have discussed about approaches in pathway based microarray analysis. Commonly, there are two approaches in pathway based analysis, Enrichment Score and Supervised Machine Learning. These pathway based approaches usually aim to statistically define significant pathways that related to phenotypes of interest. Firstly we discussed an overview of pathway based microarray analysis and its general flow processes in scoring the pathways, the methods applied in both approaches, advantages and limitations based on current researches, and pathways database used in pathway analysis. This review aim to provide better understanding about pathway based microarray analysis and its approaches.

关键词： Linear feedback shift registers Random number generation Shift registers Cryptography Random sequences Feedback circuits State feedback Flip-flops Information management computer science

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