DSpace Community: International Conference on Informatics

DESIGN FRAMEWORK FOR VISUALIZATION OF HEART MODEL IN A CLUSTER ENVIRONMENT

Mon, 01 Jan 2007 00:00:00 GMT

Title: DESIGN FRAMEWORK FOR VISUALIZATION OF HEART MODEL IN A CLUSTER ENVIRONMENT

Authors: Lai, Chew Ping; Woo, Chaw Seng

Abstract: We present an initial investigation and findings of our research project. Visualizing large volume of three-dimensional (3D) medical data set such as the heart model is often limited to high-end computers. To overcome this limitation, a cluster of homogeneous PCs and message passing interface (MPI) are utilized to create a parallel visualization system that is portable to a variety of hardware platforms and operating system. Visualization Toolkit (VTK) is chosen as the visualization tool to analyze and render the heart model. Thus we solved the problem of visualizing heart model in a cluster environment.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-18 - T5-22

VECTOR-BASED COLOUR IMAGE RETRIEVAL

Mon, 01 Jan 2007 00:00:00 GMT

Title: VECTOR-BASED COLOUR IMAGE RETRIEVAL

Authors: Khor, Siak Wang; Muhamad Taufik Abdullah

Abstract: This paper describes a novel approach for retrieving images which are chromatically similar to a query image. The technique makes use of vector model from the literatures of information retrieval for image similarity match. With a properly devised colour space discretisation technique, collections of pixels having similar colour content are identified, grouped and sorted according to the proportional spread, in term of total pixels in a given image. Weights are assigned to each identified groups. The sorted data will then be stored in an ASCII file, ready for the image retrieval process. The proposed technique will be benchmarked against the histogram-based approach, which is a common approach for colour image retrieval, in term of retrieval accuracy. A standard dataset that currently contains 1338 colour images, known as Uncompressed Colour Image Database (UCID), is used for the benchmarking purpose. The proposed technique has shown an improved performance in term of retrieval accuracy over the traditional histogram-based approach.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-65 - T5-69

A SURVEY OF AUTOMATED MULTIMEDIA PRESENTATION GENERATION FRAMEWORKS

Mon, 01 Jan 2007 00:00:00 GMT

Title: A SURVEY OF AUTOMATED MULTIMEDIA PRESENTATION GENERATION FRAMEWORKS

Authors: Payam M. Barnaghi; Sameem Abdul Kareem

Abstract: The widespread usage of multimedia data in recent years has led to an enormous interest in making these data available through the Web. Due to the complex requirements of multimedia data, the design and implementation of web-based information systems to fulfil the search, retrieval, and presentation necessities for such systems is not a trivial task. This paper surveys systems and methods for creating meaningful multimedia presentations to answer user information queries. Initial work in this area is carried out by introducing a standard reference model for the intelligent multimedia presentation systems (SRM-IMMPS). The standard reference model introduces a high-level architecture and a plan-based approach to generate automated multimedia presentation. The paper focuses on annotated multimedia data processing and describes different frameworks for automated multimedia presentation generation.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-56 - T5-64

QUADTREE DECOMPOSITION COMBINED WITH EDGE DETECTION ENHANCEMENT AND CROSS-CORRELATION FOR OBJECT RECOGNITION AND RETRIEVAL

Mon, 01 Jan 2007 00:00:00 GMT

Title: QUADTREE DECOMPOSITION COMBINED WITH EDGE DETECTION ENHANCEMENT AND CROSS-CORRELATION FOR OBJECT RECOGNITION AND RETRIEVAL

Authors: Jehad Qubiel Odeh Alnihoud

Abstract: The proposed approach in this paper is region based segmentation technique based on Quadtree decomposition and edge detection. The technique allows an efficient recognition and segmentation of objects in images. Edge detection enhancement method is proposed to overcome some of the most prominent problem associated with this technique. Edges were detected, enhanced, and regions were segmented. Furthermore, cross-correlation between images is proposed as a method to measure the similarity which means that the proposed technique may be useful to be used in CBIR (content-based image retrieval).

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-51 - T1-55

MULTIMEDIA AUTHORING LEARNING ASSISTS CHILDREN WITH LEARNING DIFFICULTY (MAL-ACHILD)

Mon, 01 Jan 2007 00:00:00 GMT

Title: MULTIMEDIA AUTHORING LEARNING ASSISTS CHILDREN WITH LEARNING DIFFICULTY (MAL-ACHILD)

Authors: Rafiza Abdul Razak; Osman Hashim; Hamidah Sulaiman

Abstract: The paper is focusing on the development of a learning model for children with learning difficulty by applying multimedia authoring activity. The learning model is abbreviated as MAL-ACHILD which stands for Multimedia Authoring Learning Assists Children With Learning Difficulty. Furthermore, the study examines how effective the model to be used among the children. The model comes together with a multimedia courseware which is designed based on authoring activity suited for the children with learning difficulty.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-44 - T5-50

MODELING THE USER ACCEPTANCE OF LEARNING OBJECTS

Mon, 01 Jan 2007 00:00:00 GMT

Title: MODELING THE USER ACCEPTANCE OF LEARNING OBJECTS

Authors: Siong-Hoe Lau; Woods, Peter C

Abstract: This empirical study designed the Learning Object Acceptance Model to examine the underlying factors and causal relationships that determine learners’ behavioral intention to use learning objects in higher education. After a semester of practical exposure to the learning objects, data was collected from 312 university students. Structural Equation Modeling (SEM) was employed to test the hypothesized study model. The results showed that learning objects characteristics, perceived usefulness and perceived ease of use had significant effect on intention to use learning objects. After taking into account the learning object characteristics and user perceptions, individual characteristics were found to have no significant effect on intention to use learning objects.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-37 - T5-43

MEDICAL VISUALIZATION IN A CLUSTER COMPUTING ENVIRONMENT

Mon, 01 Jan 2007 00:00:00 GMT

Title: MEDICAL VISUALIZATION IN A CLUSTER COMPUTING ENVIRONMENT

Authors: Kalpana a/p Kanthasamy; Woo Chaw Seng

Abstract: This research done by us aims to introduce a parallel approach to medical visualization. It will help to speed up the rendering performance of the medical volume visualization. Challenges faced by medical visualization in a standalone computing environment will be discussed. The proposed method uses a parallel approach which utilizes the cluster computing. The computers used in the cluster are desktop computers. The research also proposes the use of Visualization Tool Kit (VTK), an open source programming language to build the application. This research will assist in low cost building medical visualization application in the future.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-31 - T1-36

INTERACTIVE SOFTWARE ENGINEERING LEARNING ENVIRONMENT

Mon, 01 Jan 2007 00:00:00 GMT

Title: INTERACTIVE SOFTWARE ENGINEERING LEARNING ENVIRONMENT

Authors: Rodina Ahmad; Koh, Wai Hin

Abstract: The main objective of most learning environments is to facilitate the process of learning and teaching. Components or features such as explanation, fast feedback and interaction, assessment and students adaptation are some of the features provided to support the process of learning. This paper describes one such learning environment which is designed to support software engineering course. This software engineering class is the third year course that covers main principles, techniques and methods of software development. Besides imparting and delivering software engineering knowledge, this course emphasize the development of software project which has to be implemented in a group. Hence, this learning environment uses experiential learning theory which provides a holistic model of the learning process as an approach for designing. It is designed to cater several important learning features as well as to support monitoring process for the instructor. This project is still ongoing in the department of Software Engineering, University Malaya.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-23 - T5-30

APPLYING SOFTWARE AGENTS IN SUPPORTING KNOWLEDGE TRANSFER PROCESS

Mon, 01 Jan 2007 00:00:00 GMT

Title: APPLYING SOFTWARE AGENTS IN SUPPORTING KNOWLEDGE TRANSFER PROCESS

Authors: Salfarina Abdullah; Zaihisma Che Cob; Mohd. Hasan Selamat; Zulfa Hanan Ash’aari

Abstract: Knowledge transfers has been proclaimed as one of the most critical knowledge management (KM) activities in the current information age. Facilitating knowledge transfer has proven to be a difficult challenge of knowledge management. Hence, developing a successful KMS is crucial where developers need to balance between many technical aspects of the system without giving less importance to the knowledge issues. Developing KMS is a difficult task; in fact, there are different approaches towards this. One of them, which are proving to be useful, is that of intelligent agents. Here, we will critically examine existing application of software agents to support knowledge transfer process in an attempt to understand their strength and weaknesses. This paper will propose a new model called Intelligent Multi-mobile Learning System. Later, the paper explains how KMS can be optimized using this software agent technology.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-12 - T5-17

ACTION DETECTION: CONTENT MODELLING, DESCRIPTION AND RECOGNITION

Mon, 01 Jan 2007 00:00:00 GMT

Title: ACTION DETECTION: CONTENT MODELLING, DESCRIPTION AND RECOGNITION

Authors: L. N. Abdullah; Shahrul Azman Mohd Noah; Tengku Mohd Tengku Sembok; Khairuddin Omar

Abstract: In this paper, we directly modelled the hierarchy and shared structures of human behaviours, and we present a framework of the Hidden Markov model based application for the problem of activity recognition. It is crucial to exploit and to robustly model and recognize complex human activities. Our goal is to exploit human motion to perform action recognition. Towards the end, we introduced the use of the Hidden Markov model, a rich stochastic model that has been recently extended to handle structures, for representing and recognizing simple actions. We proposed a framework for recognizing actions by measuring image and action-based information from video with the following characteristics: feature extraction; the method deals with both visual and auditory information, and captures both spatial and temporal characteristics; and the extracted features are natural, in the sense that they are closely related to the human perceptual processing. Our effort was to implementing idea of action identification by extracting syntactic properties of a video such as edge feature extraction, colour distribution, audio and motion vectors. In this paper, we present a two layers hierarchical module for action recognition. The first one performs supervised learning to recognize individual actions of participants using low-level audio-visual (AV) features. The second layer models actions, using the output of the first layer as observations, and producing a temporal segmentation of an action into group action segments. Both layers use Hidden Markov model-based approaches for action recognition and clustering, respectively.

Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-5 - T5-11