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Fpga implementation of microcode-based and fsm-based memory built-in self test controllers

Fpga implementation of microcode-based and fsm-based memory ...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Haron, Nor Zaidi Ibrahim, Masrullizam Mat Junos Yunus, Siti Aisah Mat Aziz, Amir Shah Abdul Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Karung Berkunci 1200 Hang Tuah Jaya 75450 Ayer Keroh Melaka Malaysia

ISBN: (纸本)9780889867307

this paper presents the design and implementation of a microcode-based and an FSM-based memory built-in self test (BIST) controllers using Xilinx Spartan XC3S500E FPGA. the controllers are written in Very High Speed Integrated Circuit Hardware Description Language (VHDL) code and verified using Xilinx ISE design tools. Synthesis and implementation on the field programmable logic array (FPGA) device when testing several memory sizes are carried out based on March C-, March C and March X, MATS+ and MATS test pattern algorithms. Logic area utilization and flexibility of the two controllers are evaluated. We show that the microcode-based controller has better flexibility but occupies larger logic area compared to the FSM-based controller.

关键词： computer hardware description languages

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Ontology and problem-solving method for scheduling in manufacturing

Ontology and problem-solving method for scheduling in manufa...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Mustapha, Muhammad Firdaus B. Deris, Safaai B. Artificial Intelligence and Bioinformatics Laboratory Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia

ISBN: (纸本)9780889867307

Scheduling can be defined as the allocation of resources over time to perform a collection of tasks. It is a decision making process that has a goal to optimize one or more than one objective functions. In manufacturing, the purpose of scheduling is to minimize the production time and costs, by telling a production facility what to make, when, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce costs. Along with this paper, we solve scheduling in manufacturing problem using problem-solving method (PSM). We use knowledge modeling approach namely as ontology to model scheduling and PSM. Ontology can be seen as information model that explicitly describes the various entities and abstractions that exist in a scheduling and problem-solving, along with their properties. While Problem-solving Method (PSM) is provides the vocabulary necessary to characterize the search based problem-solving behavior of the scheduling task.

关键词： Ontology

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Arabic script language identifications using adaptive neural network

Arabic script language identifications using adaptive neural...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Selamat, Ali Ng, Choon-Ching Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9780889867307

Globalization has led to unlimited information between geographically remote locations and insight of a global common market. When constructing website applications for use on various industries, developers need to deal with a wide range of users from different countries. thus, multilingual system is implemented in order to make available multilingual environment in those applications. However, it is time-consuming to define all the possible languages for multilingual system manually, it would be desirable to automate the adoption of language identification for text-based documents. To address this need, we introduce language identification of Arabic script documents with letter frequency based. Techniques used for identification are fuzzy ARTMAP and default ARTMAP, which are belong to neural network architectures that perform incremental supervised learning. Arabic script documents such as Arabic, Persian and Urdu were used for performing language identification. From the experiments, we have found that fuzzy ARTMAP has performed better than the default ARTMAP in Arabic script language identification.

关键词： Network architecture

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Crash-proof systemic computing: a demonstration of native fault-tolerance and self-maintenance

Crash-proof systemic computing: a demonstration of native fa...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Martelot, Erwan Le Bentley, Peter J. Lotto, R. Beau Engineering Department University College London Torrington Place London WC1E 7JE United Kingdom Computer Science Department University College London Malet Place London WC1E 6BT United Kingdom Institute of Ophthalmology University College London 11-43 Bath Street London EC1V 9EL United Kingdom

ISBN: (纸本)9780889867307

Reliability in computer or engineering systems is undoubtedly a key requirement in the development process. Safety within critical control systems, and reliable data transfers, require tolerance to unexpected and unwanted phenomena. In biology, new cells can replace damaged cells [1], DNA is able to repair and replicate with error control [1]. these processes are essential to maintain the overall organism. Biology has often been a successful inspiration in computation (artificial neural networks, genetic algorithms, ant colony optimisation, etc) although conventional computation differs widely from natural computation. In this respect, [2] introduced systemic computation (SC), a model of interacting systems with natural characteristics and suggested a new computer architecture. Following this work, [3] introduced a systemic computer as a virtual machine running on conventional computers. In this paper we show, using a genetic algorithm implementation running on this platform, how crash-proof programs following the SC paradigm have native fault-tolerance and easily integrated self-maintenance.

关键词： Fault tolerance

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A hardware hot loop path detector for dynamic parallelization and optimization

A hardware hot loop path detector for dynamic parallelizatio...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Baba, Takanobu Yanome, Hideto Ootsu, Kanemitsu Yokota, Takashi Department of Information Science Faculty of Engineering Utsunomiya University 7-1-2 Yoto Utsunomiya Tochigi 321-8585 Japan

ISBN: (纸本)9780889867307

Dynamic parallelization and optimization of a loop is a crucial issue for enhancing the performance of sequential programs as loops account for a large fraction of execution time. Loop level parallelism can also be extracted efficiently due to its regular structure. Based on the observation that only a limited number of paths are executed frequently in hot loops, we propose a hardware hot loop path detector to specify such hot loops and their hot paths accurately so that the dynamic optimizer may utilize the detected information effectively. the detector consists of a stack structured bit-tracing unit that identifies loop paths at a subroutine level, a hot loop detector that detects hot loops by utilizing loop path information and a hot path accumulator of loop paths. Experiments using SPEC CINT2000 show that loop paths occupy a small fraction (14.46%) of Ball-Larus paths but are detected frequently (64.45% of Ball-Larus paths). A combined small scale hot loop detector and hot path accumulator (32 entries each) attain a detection accuracy of 97.10% for the hottest loop path and 93.83% for the top 2 hottest loop paths and their order within hot loops.

关键词： Dynamic optimization Hardware hot loop path detector Loop parallelization

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Application of support vector machine classifier for security surveillance system

Application of support vector machine classifier for securit...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Tan, C.P. Lani, Nur Fateha Muhamad Lai, W.K. Centre for Advanced Informatics MIMOS Berhad Technology Park Malaysia 57000 Kuala Lumpur Malaysia

ISBN: (纸本)9780889867307

this paper presents the application of Support Vector Machine classifier for security surveillance system. Recently, research in image processing has raised much interest in the security surveillance systems community. Weapon detection is one of the greatest challenges facing by the community recently. In order to overcome this issue, application of the popularly used Support Vector Machine classifier is performed to focus on the need of detecting dangerous weapons. In this paper, we take advantage of the classifier to categorize images object with the hope to detect dangerous weapons effectively. In order to validate the effectiveness of Support Vector Machine classifier, several classifiers are used to compare the overall accuracy of the system. these classifiers include Neural Network, Decision Trees, Naïve Bayes and k-Nearest Neighbor methods. the final outcome of this research clearly indicates that Support Vector Machine has the ability in improving the classification accuracy using the extracted features.

关键词： Support vector machines

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Implications of online learning - An analytical study

Implications of online learning - An analytical study

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10th iasted international conference on computers and Advanced technology in Education

作者： Daabaj, Khaled H. Ahmeda, Shubat S. University of 7th April Department of Computer Engineering P.O. Box 16418 Al-Zawya City Libya University of Al-Fateh Department of Computer Engineering P.O. Box 13589 Tripoli Libya

ISBN: (纸本)9780889866997

the advancement of technology has led to the conversion of traditional courses into Web courses. this conversion is becoming easier and occurring more systematically in higher education. A growing demand for continuing education is changing the characteristic structure of the tertiary student population, with more students working full time and carrying family responsibilities. In addition, education is increasingly embracing active learning models over the traditional transmission mode of instruction. these factors are making Web-based courses easier to implement, more desirable, and pedagogically relevant. However, as the medium is relatively new, it is not yet precisely known what variables contribute more to students' learning. With the prospect of more Web-based courses being taken by an increasing number of students, it is important to gain a better understanding of how Web-based courses influence students learning [1]. Also, research is needed to obtain more understanding of the learning factors that influence student success in web-based learning. Web-based learning has been suggested to be the future of all types of distance learning [2].

关键词： Students

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Measuring operating systems' task fairness for cpu resource scheduling

Measuring operating systems' task fairness for cpu resource ...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Tan, Ian K.T. Wong, C.S. Lam, J.W. Kumari, Rosalind D. Faculty of Information Technology Persiaran Multimedia Multimedia University Cyberjaya 63100 Malaysia

ISBN: (纸本)9780889867307

With more software architects and developers coding for parallel execution, how fair tasks are scheduled by the operating system becomes an important criteria. Software code may comprise of small sections that are parallelizable and every possible performance gain should be exploited by the software developer. In order to exploit fine grain parallelism, software developers need the confidence that the operating system is able to fairly schedule their parallelized tasks. Most schedulers attempt to allocate resources to tasks fairly based on the task's priority. However, this fairness cannot be achieved in an ideal manner and hence it is only an approximate fairness. Actual experience with various schedulers varies and currently, there is no tool to qualitatively measure and compare them. this paper presents a tool to measure fairness and provides an intuitive representation of the results through the comparison of two different kernel schedulers of the open source Linux operating system.

关键词： Scheduling

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Exploring multi-objective evolution of robot brains in obstacle and maze environments with varying complexities

Exploring multi-objective evolution of robot brains in obsta...

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Song, Cheng Ni Jason, Teo Centre for Artificial Intelligence School of Engineering and Information Technology Universiti Malaysia Sabah Locked Bag 2073 88999 Kota Kinabalu Sabah Malaysia

ISBN: (纸本)9780889867307

this paper explores a new approach of using a multiobjective evolutionary algorithm (MOEA) to evolve robot controllers in performing phototaxis task while avoiding obstacles or navigating through a maze in a simulated environment, to overcome problems involving more than one objective, where these objectives usually trade-off among each other and are expressed in different units. Experiments were conducted in six sets within a 10% noise environment with different task environment complexities to investigate whether the MOEA is effective for controller synthesis. A simulated Khepera robot is evolved by a Pareto-frontier Differential Evolution (PDE) algorithm, and learned through a 3-layer feed-forward artificial neural network, attempting to simultaneously fulfill two conflicting objectives of maximizing robot phototaxis behavior while minimizing the neural network's hidden neurons by generating a Pareto optimal set of controllers. Results showed that robot controllers could be successfully developed using the MOEA.

关键词： Controllers

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An automated oil palm literature text summarizer framework

An automated oil palm literature text summarizer framework

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4th iasted international conference on advances in computer science and technology, ACST 2008

作者： Ujir, Hamimah Jali, Nurfauza Daniel, Tan Yong Wen Huspi, Sharin Hazlin Fadzir, Syarifah Fazlin Seyed Stephanie, Chua Hui Li Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia

ISBN: (纸本)9780889867307

Most of the existing summarization tools serve as a general purpose summarizer, rarely as the domain specific summarizer;e.g.: medical [14] and law [15] field documents summarizer. this paper describes a framework of an automatic summary generation of one specific domain that is oil palm literature. In order to support the whole framework, the oil palm corpus is developed. the work is based on two different paradigms which is extraction and abstraction. By incorporating these two important methods in one summarization framework, the quality of the produced summary will greatly improve. A Nearly-New IE (ANNIE) is used as the backbone in extraction process. the sentences are then ranked for potential inclusion in the summary using a weighted word frequency known as Term Frequency-Inverse Document Frequency (TF-IDF). In the abstraction process, the oil palm corpus is used to support the summarization procedure. Using the training corpus, the output will be more precise may gather all the important facts from the pre-determined information retrieval process.

关键词： Extraction

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