Disaster Management in Malaysia: An Application Framework of Integrated Routing Application for Emergency Response Management System

Malaysia has experienced various disasters either natural or manmade disaster. One of the critical phases in Disaster Management System life cycle is response phase. In this phase, connectivity analysis such as a navigation service to help emergency rescue (ER) units reach at disaster area on time is necessary. Nowadays, commercial navigation system seems not appropriate to be used by ER units as they have different preferences. In addition, location information that is vital was not fully utilized in disaster management, especially in doing multi-task analysis. Thus, the real potential of GIS technology in managing spatial data including real-time (moving objects) data of ER units may influence the quality of the service. However, the services should be supported by a good data model. In order to eliminate inappropriate information, incomplete data, and overloaded information from Database Management System (DBMS) sent to the user, this paper will present the framework of integrated routing application for emergency response units embedded with context-aware

Analysis on Differential Router Buffer Size towards Network Congestion: A Simulation-based

Network resources are shared amongst a large number of users. Improper managing network traffic leads to congestion problem that degrades a network performance. It happens when the traffic exceeds the network capacity. In this research, we plan to observe the value of buffer size that contributes to network congestion. A simulation study by using OPNET Modeler 14.5 is conducted to achieve the purpose. A simple dumb-bell topology is used to observe several parameter such as number of packet dropped, retransmission count, end-to-end TCP delay, queuing delay and link utilization. The results show that the determination of buffer size based on Bandwidth-Delay Product (BDP) is still applicable for up to 500 users before network start to be congested. The symptom of near-congestion situation also being discussed corresponds to simulation results. Therefore, the buffer size needs to be determined to optimize the network performance based on our network topology. In future, the extension study will be carried out to investigate the effect of other buffer size models such as Stanford Model and Tiny Buffer Model. In addition, the buffer size has to be determined for wireless environment later on

Flexible Framework For A Web Transactional Application

Software development project becomes difficult because of the complexity in the business requirements, rigid framework and unpredictable performance. These cause difficulties to deliver the software on time, to maintain it and to adapt to new requirements. This research proposes a Web-Based Transactional Application Architecture Framework (WTBF) to simplify the development of a complex software project by using template approach that contains assembled pieces of reusable software components. The framework provides a generalized component-based architectural template that can be reused by the users (software developer and an independent software vendor) to develop multi-tier transactional applications within a specific domain or for a new software project. One of its significant benefits is that users can concentrate on their business components development tasks instead of spending time on redeveloping basic software infrastructure from the scratch. The WTBF framework is developed by using the Java 2 Technology and the Model View Controller (MVC) is used for the architectural model

A Markovian Approach to Determine Optimal Means for SME Production Process

The determination of optimum process mean has become one of the focused research area in order to improve product quality. Depending on the value of quality characteristic, an item can be reworked, scrapped or accepted by the system which is successfully transform to the finishing product by using the Markovian model. By assuming the quality characteristic is normally distributed, the probability of rework, scrap and accept is obtained by the Markov model and next the optimum of process mean is determine which maximizes the expected profit per item. In this paper, we present the preliminary analysis of selecting the process mean by referring to SME production process. By varying the rework and scrap cost, the analysis shows the sensitivity of the Markov approach to determine process mean

Hybrid of Boyer Moore and rule based system for mobile library book information

In this paper, a hybrid of Boyer Moore and Rule Based System are introduced for library book information on mobile application. A hybrid approach is employed as solution to replace the Digital Resource, Web based Software System and Catalogue. Quick Response (QR) Code is an improvement to replace the barcode and it can access any sensor on mobile application. The methodology of this paper is to develop Library Book Information to be more effective and by combining Boyer Moore String Matching and Rule Based System. From the phase of Boyer Moore and Rule Based System, these are greatly simplified this system by using QR Code to get data in a real time. The result in Boyer Moore and Rule Based System shows with highest priority or threshold (maximum) to minimum. It can be concluded that the hybrid of Boyer Moore and Rule Based System can effectively support the library information system

Neural Network Prognostics Model for Industrial Equipment Maintenance

This paper presents a new prognostics model based on neural network technique for supporting industrial maintenance decision. In this study, the probabilities of failure based on the real condition equipment are initially calculated by using logistic regression method. The failure probabilities are subsequently utilized as input for prognostics model to predict the future value of failure condition and then used to estimate remaining useful lifetime of equipment. By having a time series of predicted failure probability, the failure distribution can be generated and used in the maintenance cost model to decide the optimal time to do maintenance. The proposed prognostic model is implemented in the industrial equipment known as autoclave burner. The result from the model reveals that it can give prior warnings and indication to the maintenance department to take an appropriate decision instead of dealing with the failures while the autoclave burner is still operating. This significant contribution provides new insights into the maintenance strategy which enables the use of existing condition data from industrial equipment and prognostics approach

Application of Genetic Algorithm to the Design Optimization of Complex Energy Saving Glass Coating Structure

Attenuation of GSM, GPS and personal communication signal leads to poor communication inside the building using regular shapes of energy saving glass coating. Thus, the transmission is very low. A brand new type of band pass frequency selective surface (FSS) for energy saving glass application is presented in this paper for one unit cell. Numerical Periodic Method of Moment approach according to a previous study has been applied to determine the new optimum design of one unit cell energy saving glass coating structure. Optimization technique based on the Genetic Algorithm (GA) is used to obtain an improved in return loss and transmission signal. The unit cell of FSS is designed and simulated using the CST Microwave Studio software at based on industrial, scientific and medical bands (ISM). A unique and irregular shape of an energy saving glass coating structure is obtained with lower return loss and improved transmission coefficient