Yazid Mohd Saman

A NEW POLICY FOR PATH SELECTION IN DYNAMIC SOURCE ROUTING PROTOCOL FOR MOBILE AD-HOC NETWORKS

In standard DSR protocol, nodes automatically discover and maintain the routes in the network by storing source routes, discovered dynamically on-demand. They maintain route caches that contain the source routes which the node is aware of. Entries are cont inually updated when new routes are learned and reo rder the cached routes according to the traditional shor test path policy. The problem with this approach is that, while the source is still using the primary shortes t route, the primary route might fail and the sourc e would remain unaware of that its cache contains a recent/ fresh route, which has the same number of hop count and to the same destination. Thus, we proposed a method to improve the performance of DSR protocol by increasing packet delivery ratio and reducing routi ng overhead by adopting a path selection mechanism. In this study, we present a new strategy for route sel ection in DSR protocol that uses the recent-short p ath as routing metric. It calls RSRS. Basically, RSRS depe nds on the construction time and the hop-count of t he cached route for route selection. Since, it utilize s the recent -short path in the route cache as rout ing metric. The proposed method has been implemented in GloMoSim simulator and its performance compared to the conventional DSR protocol and we have reached more important and comparable simulation results. The simulation results confirmed that the SRSR method i mproved packet delivery ratio, reduction of routing overhead, number of dropped packets and number of failure links.

A review on the component evaluation approaches to support software reuse

Component-based software engineering (CBSE) is becoming popular due to the benefits of software reuse and the availability of many alternatives of reusable components. By reusing existing software components that have already been tested, software engineers may reduce errors and shorten the time to market the system under development. However, software engineers still have a problem in selecting the existing reusable components as well as difficulties in determining the quality of the developed components for future reuse. Therefore, an appropriate component evaluation framework is extremely needed to harvest the full benefits of software reuse. In this paper, we present the comparative evaluation of the state-of-the-art component evaluation approaches with an emphasize on reusability. The results presented in this paper are very useful in achieving the ultimate aim of our research i.e. providing a holistic component evaluation approach that may assist software engineer both in the selection of the existing reusable components and the development of new reusable components.

Organizing ready-made virtual objects for virtual environments

In the world of simulation, Virtual reality (VR) software allows users to visualize, manipulate and interact with computers and complex data. VR has been utilized in applications such as architecture, medicine, advertisement, business, entertainment, and education. Developing VR environments is costly and expensive. Highly-technical persons are needed to create the virtual objects from scratch. Once a virtual system is created, managing and modifying it creates further problems. There is a need for non-technical users to be able to create and modify their own virtual environments. This paper discusses a systematic and dynamic framework to manage virtual objects in virtual environment. It is called Virtual Reality System-Hierarchy Embedded Virtual Objects (VRS-HEVO). It comprises of two components; the Stand- Alone VRS-HEVO and the Distributed VRS-HEVO. To implement the framework, Java 3D and Java Swing have been used. A usability study on the performance of the framework has been carried out. Users have perceived it as an easy tool to use, especially for an environment in education.

FCA-ARMM: A Model for Mining Association Rules from Formal Concept Analysis

The evolution of technology in this era has contributed to a growing of abundant data. Data mining is a well-known computational process in discovering meaningful and useful information from large data repositories. There are various techniques in data mining that can be deal with this situation and one of them is association rule mining. Formal Concept Analysis (FCA) is a method of conceptual knowledge representation and data analysis. It has been applied in various disciplines including data mining. Extracting association rule from constructed FCA is very promising study but it is quite challenging, not straight forward and nearly unfocused. Therefore, in this paper we proposed an Integrated Formal Concept Analysis–Association Rule Mining Model (FCA-ARMM) and an open source tool called FCA-Miner. The results show that FCA-ARMM with FCA-Miner successful in generating the association rule from the real dataset.

Adoption of near field communication in S-Library application for information science

Purpose – The purpose of this paper is to first review the implementation of automatic identification and data capture) technologies in library/information science, focusing on barcode technology, radio frequency identification (RFID) and near field communication (NFC). This paper then presents S-Library, a new android-based application, to enable users to perform a wide range of information science-related transactions, such as borrowing, searching, returning and viewing transaction records. Design/methodology/approach – This paper presents the design process and the database and software components. For analysis, the authors used application testing, and also usability testing, with a questionnaire distributed to 343 users. Findings – The implementation of NFC technology means that S-Library has a number of technical advantages over other approaches. It was also shown with user acceptance testing that there was a high degree of user satisfaction with S-Library. Research limitations/implications – Althou...

Comparative of Mediator Approach for Database Integration

Six applications which are based on mediator approach have been reviewed in this study. In practice, The mediator is used to integrate and access data from different data sources. The important characteristics for the implementation of mediator approach have been identified. This include types of data, file format and object data. These characteristics together with the advantages and the disadvantages of each implementation mediator approach described in section 4. This is important for other researchers to do the literature review. Indeed, this study highlights important issues that need to be addressed before future directions for the research in the area of database integration based on mediator is channelled.

Mining Critical Least Association Rule from Oral Cancer Dataset

Data mining has attracted many research attentions in the information industry. One of the important and interesting areas in data mining is mining infrequent or least association rule. Typically, least association rule is referred to the infrequent or uncommonness relationship among a set of item (itemset) in database. However, finding this rule is more difficult than frequent rule because they may contain only fewer data and thus require more specific measure. Therefore, in this paper we applied our novel measure called Critical Relative Support (CRS) to mine the critical least association rule from the medical dataset called Oral-Cancer-HUSM-S1. The result shows that CRS can be use to determine the least association rule and thus proven its scalability.

Evolutionary Framework of a Decision Support System for Forensic DNA Analysis

Research trend in DSS has moved from the issue of DSS development into DSS evolution. Initial works has been done in 1980s but further research has not been done continuously. The evolution issue of DSS has gained interests again; hence the focus in this research is mainly about evolution decision support systems (DSS) especially from the state-of-art of the proposed frameworks. Chosen area of interest to be demonstrated in solving problems for the evolution of DSS frameworks in this paper is in domain forensic science, or more specifically, forensic DNA analysis. DSS frameworks for forensic science are explored first. From the literatures, it shows that there are significant lacks of available research works for evolution of a DSS in many areas of interests, and not only in forensic science. Types of frameworks for a DSS in general are studied and summaries are presented. The proposed evolutionary framework for a DSS in forensic DNA analysis is initiated.

SIDIF: Location based technique for spatial information databases integration framework

Evaluation for effectiveness and efficiency of artificial reefs (AR) development is quite difficult and troublesome. This is because of high cost incurred. As for common practice, evaluation process is done by special dive task force unit to conduct diving activity to observe on how AR has developed. This paper presents a framework architecture to integrate location coordinate data (longitude and lattitude) of AR with the fish catches data at all identified jetty. In SIDIF, the data of fish catches will be mapped with data on location coordinate of AR as a whole via mapping and integration of these two (2) different databases. Using this methodology, the effectiveness and efficiency of AR development will be achieved as well as the evaluation will be measured. In this study, research only made integration two database only namely artificial reef database (ARPOS) and fish landing database (WiFISH). Before integration process both this database is conducted, various issues should be identified over proceed.