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Road Traffic engineering Application in Mathematics Information Technology

Procedia - Social and Behavioral Sciences 2012年 59卷 204-211页

作者： Mohd Sazali Khalid Tan Lai Wai Tutut Herawan Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Faculty of Civil and Environmental Engineering Universiti Tun Hussein Onn Malaysia Faculty of Computer System and Software Engineering University Malaysia Pahang

Globally mathematics is a challenging subject. However, some parties wanted mathematics to be learnt using IT in a Diploma Information Technology program in UTHM Johor for example. The objective of this paper is to prove whether mathematics IT used in a road traffic engineering case study could help the students’ understanding. Methodology used was quantitative as data on traffic flow was collected. There is a 0.58 Pearson correlation between the speed of cars with fatal accident cases and the marks from Mathematics final semester paper had improved besides the overall improvement to safer road traffic around Parit Raja vicinity.

关键词： Case study collaborative learning data analysis diploma IT mathematics pearson correlation quantitative method traffic flow

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Policy-based approach to detect and resolve policy conflict for static and dynamic architecture

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Journal of Theoretical and Applied Information Technology 2012年第2期37卷 268-278页

作者： Mansor, Abdelhamid Abdelhadi Wan Kadir, M.N.W. Anwar, Toni Elias, Hidayah Department of Computer Sciences Faculty of Mathematical Sciences University of Khartoum Sudan Software Engineering Department Faculty of Computer Science and Information System UniversitiTeknologi Malaysia Malaysia

Current research efforts are being directed to commit with the long-term view of self-management properties for wireless telecommunications. One of the key approaches that have been recognized as an enabler of such a view is policy-based management. Policy-based management has been mostly acknowledged as a methodology that provides flexibility, scalability, adaptability and support to automatically assign network resources, control Quality of Service and security, by considering administratively specified rules. The hype of policy-based management was to commit with these features in run-time as a result of changeable network conditions resulting from the interactions of users, applications and existing resources. To detect and resolve potential static and dynamic conflicts between the rules and configurations from different administrative domains, a policy-based manager coordination PobMC framework which is based on Event- Condition-Action (ECA) is proposed in this paper. The framework is responsible of potential conflicts between applications included in the system. Furthermore, the paper provides a guideline to avoid policy conflicts between different domains configurations, and resolve the conflicts during runtime. PobMC depends on, static and dynamic analysis to reduce potential conflicts. The paper briefly outlines some of the most prominent research issues that have been discussed for large-scale adoption of policy-based systems. Then we present a description of the conflict detection and resolution algorithms that achieves the automated enforcement of obligations for resource-handling based on management policies. © 2005 - 2012 JATIT & LLS. All rights reserved.

关键词： Quality of service

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Evolutionary grammars based design framework for product innovation

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Procedia Technology 2012年 1卷 132-136页

作者： Ho Cheong Lee Tutut Herawan A. Noraziah Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia

Innovation and creativity are the key successful factors and a global priority in engineering industries. This paper describes the development of an evolutionary grammars based design framework for product innovation. A new genetic representation of shape grammars is developed in an evolutionary computing environment. The results generated by the genetic algorithm define a new combination of shape features for alternative designs. In this way, traditional shape grammar is extended to an interactive context in which generative and evolutionary computing methods are combined. Both product component design as well as product configuration are supported in this framework. Two important design issues are addressed in this research, 1) Product form exploration, and 2) Product design strategies. To tackle the issues, this research demonstrates the efficient use of evolutionary grammars to support the exploration of innovative product form designs.

关键词： Evolutionary Grammars Shape Grammars Evolutionary Computing Product Innovation Product Design Strategies

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An enhanced model for prediction of young modulus of composite

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Procedia Technology 2012年 1卷 303-307页

作者： Ritu Gupta Norrozila Sulaiman M. Dalour H. Beg Arun Gupta Faculty of Computer System and Software Engineering Faculty of Chemical and Natural Resources University Malaysia Pahang Lebuhraya Tun Razak 26300 Gambang Kuantan Malaysia

This paper presents computer simulation model for prediction of young modulus for Wood Plastic Composite (WPC) properties. The effect on modulus of natural fibers which affect the strength and stiffness of the composites were studied. The results show that the percentage of void volume inside the fibers is reduced using the proposed model. The results are validated with the experimental data and it was shown that the results from simulations model are closed to the experimental result.

关键词： Young's modulus Wood Plastic Composites Simulation model

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On affirmative adaptive failure detection

On affirmative adaptive failure detection

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12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012

作者： Noor, Ahmad Shukri Mohd Deris, Mustafa Mat Herawan, Tutut Hassan, Mohamad Nor Department of Computer Science Faculty of Science and Technology Universiti Malaysia Terengganu 21030 Kuala Terengganu Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Darul Takzim Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuh Raya Tun Razak 26300 Gambang Kuantan Pahang Malaysia

ISBN: (纸本)9783642330643

Fault detection methodology is a crucial part in providing a scalable, dependable and high availability of grid computing environment. The most popular technique that used in detecting fault is heartbeat mechanism where it monitors the grid resources in a very short interval. However, the heartbeat mechanism-based technique for fault detection suffers from weaknesses of either fast detection with low accuracy or completeness in detecting failures with a lengthy timeout. In this paper, we propose Affirmative Adaptive Failure Detection (AAFD). In this technique, the integration of newly proposed failure detection algorithm and the ping service is essential not only for dynamically improving certainty level of accuracy, but it is also very significant in verifying the aliveness of a site for strong completeness failure detection and reduces waiting time. The model outperforms the existing techniques by 18% to 39% in term of algorithm performance. On the average, AAFD detection is about 30% better than other detection algorithms. © 2012 Springer-Verlag.

关键词： Fault detection

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Vehicle kinematics modeling and design of vehicle trajectory generator system

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Journal of Central South University 2012年第10期19卷 2860-2865页

作者：李昭蔡自兴任孝平陈爱斌薛志超 School of Information Science and Engineering Central South University Institute of Intelligent System and Software Central South University Department of Intelligence Science and Technology Central South University National Institute of Metrology College of Computer Science and Information Technology Central South University of Forestry and Technology Faculty of Health Science University of Copenhagen

A trajectory generator based on vehicle kinematics model was presented and an integrated navigation simulation system was *** that the tight relation between vehicle motion and topography,a new trajectory generator for vehicle was proposed for more actual ***,a vehicle kinematics model was built based on conversion of attitude vector in different coordinate ***,the principle of common trajectory generators was ***,combining the vehicle kinematics model with the principle of dead reckoning,a new vehicle trajectory generator was presented,which can provide process parameters of carrier anytime and achieve simulation of typical actions of running ***,IMU(inertial measurement unit) elements were simulated,including accelerometer and *** setting up the simulation conditions,the integrated navigation simulation system was verified by final performance *** result proves the validity and flexibility of this design.

关键词： vehicle kinematics model integrated navigation system track generator IMU element system simulation

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An adaptive policy-based approach for static and dynamic policy conflict detection: An implementation of location-based system

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第22期6卷 1-10页

作者： Mansor, Abdelhamid Abdelhadi Wan Kadir, Wan M.N. Anwar, Toni Elias, Hidayah Hassan, Khalid Department of Computer Sciences Faculty of Mathematical Sciences University of Khartoum Sudan Software Engineering Department Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Malaysia

The new paradigm in mobile services lies in providing a location-based user experience and here lies the tremendous scope for expansion of location-based services (LBS). One of the key approaches that have been recognized as an enabler of such a view is policy-based management, which has been mostly acknowledged as a methodology that provides adaptability and support to automatically assign network resources, control Quality of Service and security, by considering administratively specified rules. Whilst current research focuses mostly on rules for low-level device configuration, significant challenges remain to be addressed in order to provide dynamic adaptation of policy in response to changes and ensure that policies will lead to a feasible implementation within the managed environment. In this paper, the emphasis is on building the described environment using today's existing technologies. We use our policy-based framework PobMC to combine mobile (location-based) services, ubiquitous and autonomic computing concepts. The goal is to bring the kind of informationrich environment, which is currently limited to computer screens, to the real world. This is achieved by constructing an architecture based on existing wireless network technologies and Web applications. Location information of destinations and users is computed by the received signal strength indicator (RSSI) values of the Wi-Fi sensors, to provide adaptive services over wireless Web. The users use their mobile devices to access these location-based services.

关键词： Location based services

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ROUGH CLUSTERING FOR CANCER DATASETS

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International Journal of Modern Physics: Conference Series 2012年第9期ijmpcs卷 240-258页

作者： TUTUT HERAWAN Database and Knowledge Management Research Group Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Lebuh Raya Tun Razak Gambang 26300 Pahang Malaysia

Cancer is becoming a leading cause of death among people in the whole world. It is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients. Expert systems and machine learning techniques are gaining popularity in this field because of the effective classification and high diagnostic capability. This paper presents the application of rough set theory for clustering two cancer datasets. These datasets are taken from UCI ML repository. The method is based on MDA technique proposed by [11]. To select a clustering attribute, the maximal degree of the rough attributes dependencies in categorical-valued information systems is used. Further, we use a divide-and-conquer method to partition/cluster the objects. The results show that MDA technique can be used to cluster to the data. Further, we present clusters visualization using two dimensional plot. The plot results provide user friendly navigation to understand the cluster obtained.

关键词： Clustering rough set MDA technique cancer datasets

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systematic Literature Review of Missing Data Imputation Techniques for Effort Prediction

Systematic Literature Review of Missing Data Imputation Tech...

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2012 International Conference on Smart Grid systems(ICSGS 2012)

作者： Beatrice Andrew Ali Selamat Dept. of Software Engineering Faculty of Computer Science and Information System Universiti Teknologi Malaysia Skudai Johor 81310 Malaysia

Background:The occurrences of missing data in software project data set bring significant impact on effort *** significant impacts of this problem are wasted information and biased *** common studies conducted to investigate in depth this area is to find sophisticated missing imputation techniques but there are only small numbers of research questioning the quality of ***:This paper aims to systematically analyze researches done on missing data imputation techniques to estimate software effort and review the current approaches exist in the ***:We performed a systematic literature of empirical studies of data imputation techniques published in from 2000-2012.

关键词： software effort prediction,imputation technique,systematic literature review

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SOFT SET-BASED DECISION MAKING FOR PATIENTS SUSPECTED INFLUENZA-LIKE ILLNESS

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International Journal of Modern Physics: Conference Series 2012年第9期ijmpcs卷 259-270页

In previous work, we presented an applicability of soft set theory for decision making of patients suspected influenza. The proposed technique is based on maximal supported objects by parameters. At this stage of the research, results are presented and discussed from a qualitative point of view against recent soft decision making techniques through an artificial dataset. In this paper, we present an extended application of our soft set-based decision making through a Boolean valued information system from a dataset of patients suspected ILI (Influenza-Like Illness). Using soft set theory and maximal symptoms co-occurences in patients, we explore how soft set-based decision making technique can be used to reduce the number of dispensable symptoms and further make a correct and fast decision. The result of this work can be used for recommendation of decision making based on the clusters decision captured. Finally, this technique may potentially contribute to lowering the complexity of medical decision making without loss of original information.

关键词： Decision making soft set theory ILI dataset

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