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ALICE (A Large Ion Collider Experiment) studies the physics of strongly interacting matter and the quark-gluon plasma by means of heavy-ion collisions at the CERN LHC (Large Hadron Collider).
Artificial Bee Colony (ABC) is a metaheuristic approach in which a colony of artificial bees cooperates in finding good solutions for numerical optimization problems. ABC is adopted widely for use in several domains of solution optimization. However, the algorithm generally requires a considerably large computational time and resources. In order to enhance the performance of this algorithm for a large...
An optimization problem is a problem of finding the best solution from all possible solutions. In most computer science and mathematical applications, the decision to select the best solution is not polynomially bounded. Heuristics approaches are thus often considered to solve such NP-hard problems. In our work, we focus on developing a heuristic method to solve a combinatorial optimization problem...
Several data processing systems in a telecommunication enterprise rely on batch scheduling. The batch systems usually contain a large amount of data and require complex scheduling process. Using native job launchers like Cron cannot handle these requirements and will likely degrade performance and reliability of the system. In this paper we propose to custom-design a specific job scheduler with dynamic...
This paper proposes a design of a yield improvement analysis tool for disk drive manufacturing. The emphasis has been put on optimizing the HGA manufacturing process. The manufacturing data were obtained from the data warehouse for our study. We propose a design framework that consists of a set of various algorithms for automatic data analysis. The framework is verified by the engineers and analysts...
This research proposes the design of a fault pattern analysis algorithm based on the C4.5 decision tree technique. We study the actual data collected from a disk drive manufacturing company. Our work emphasizes the HGA manufacturing data. However, the data from the Wafer and the Slider processes are also explored as they may affect the yield of the HGA production. In our algorithm, the data is first...
In this paper, we present our design in a web-based 3D collaborative virtual environment (CVE) for distance learning (DL) using the Model-View-Controller (MVC) framework. After surveying current technologies and implementations supported by modern pedagogies, we noticed that current applications, particularly present web-based 2D technologies, do not adequately support our functional requirements...
A learning portal is a concept designed to help the self-studying process, in which the problem-based learning is emphasized. The portal collects information from many sources and arranges the content in a way that encourages self-studying. In this research, we developed a Web learning portal, where users can access the contents from anywhere at any time. The usage and the development of a video conference...
This research work proposes an idea on the design framework of the IT support for the judiciary system in Thailand. We have performed an in-depth study of the court workflow at the Central Intellectual Property and International Trade Court (CIPITC). Case Management System and Web services concepts were applied. We also considered the practicality of system deployment at the civil courts in Thailand...
This paper presents a study on the concept of ldquogrid desktoprdquo as well as a design and development of a signal processing package based on the concept. Our application framework is a client-server architecture built based on the CSE-Online platform. The server is running on the grid infrastructure and the client can be any typical workstation or personal computer. The users can use our signal...
Grid technology can be adopted to build a framework for education and research. The framework encourages the multidisciplinary collaboration between scientists and engineers in Thailand. Data exchanges and research coordination among government, academic and industrial institutes can be conducted through an existing high performance network of the Thaigrid infrastructure. In this paper, we present...
We present in this paper a number of new enhancements to a branch-and-bound algorithm given by Mount, Netanyahu, and Le Moigne [8] for feature matching. We introduce a new distance measure, which is more robust to the presence of outliers than the previously used measure, as well as a new variant of the search algorithm and a new search strategy. We also present experimental results, which show that...
This paper gives an overview of a novel storage management concept, called, adaptive object file system (AOFS). The design of the file type classification module in AOFS is emphasized. The design attempts to increase the efficiency through the dynamic tuning technique, which automatically classifies files using attributes and access pattern. The file classification, thus, allows files to be stored...
In this research, a memory management model for remote sensing data is proposed. Our initial study focuses on the memory-mapped files technique as it permits applications to directly map the virtual address to a file located on disk. A variant of such technique provides a quick and flexible way to read and write multi-spectral image files. A user application will be able to load only currently used...
This research investigates the hyperlink information presentation methods often found in Web sites today. Generally, the information presentation has two formats: a new Webpage appears in a new window, and a new Webpage replace information in an old window. In order to assess the usability of such formats, the efficiency, effectiveness, and satisfaction of each method is measured. Thirty participants...
This paper presents a novel parallel algorithm for multispectral image fusion called the s-PCT. The algorithm is designed based on a manager-worker threading concept and goes further to use redundancy to achieve fault tolerance. The paper emphasizes asymptotic analysis using analytical models and empirical studies that allow performance to be assessed for a wide variety of typical variations in use...
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