32 research outputs found
Genetic Algorithm for Event Scheduling System
UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. This newer system intend be more user friendly by providing organized management. The improved version is also designed to have the capability of sending Short Message Service (SMS) among UTeM’s staff to notify them of future events. Some researches about another existing Event Alert Sytem are carried to provide more understanding to the system to be developed. UTeM-EAS then is created by exploiting one of AI approach namely Genetic Algorithm (GA) with Crossover Technique. There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. Ozeki Messager 6 are installed and configured for this system to operate with its SMS function. The functionality, usability and security testing are conducted between UTeM’s staffs and administrators itself to measure the performance and user acceptance of the proposed system. Aside from achieving its development objectives, UTeM-EAS also gain great satisfactions from most of its tested users. The system could be more efficient if password encryption is applied and the system is able to reply the message sent by UTeM’s staff asking for further events details
Seven Cases Unstructured Triangulation Technique for Simplified Version of Conceptual Model of Ethylene Furnace for Radiative Heat Transfer Approximation
In this paper, we introduce a new enhanced method utilizing the approach of advancing front technique for generating unstructured meshes in the simplified version of ethylene conceptual model. The method is called as Seven Cases Unstructured Triangulation Technique (7CUTT) where it is based on seven categories of cases for element creation procedure and the layer concept for mesh gradation control. The algorithm of the mesh incorporates sensor deployment in its conceptual model to supply input for boundary values. The quality of the mesh is determined based on a measurement in GAMBIT software. 7CUTT provides the framework for the heat to be approximated using the discrete ordinate method, which is a variant of the finite volume method. Simulation results produced using FLUENT support the findings for effectively approximating the flue gas temperature distribution in the simplified furnace at the end of the study
Practical Database Design for Industrial Maintenance System
This paper describes how a database design can play
an important role for developing practical industrial
maintenance system. The good database design will in return give a better information sharing and good system in term of data accessibility. The design of the database are presented and illustrated by a case. The preliminary result presented to show that is possible to access a more correct view of the situation in the system development and thereby obtain a better base for making maintenance decisions. The database supports the development of applications e.g. for monitoring the performance of a maintenance in the production, for deciding the most appropriate maintenance policy or for simulating possible maintenance solutions
Utilizing Analytical Hierarchy Process for Pauper House Programme in Malaysia
In Malaysia, the selection and evaluation of candidates for
Pauper House Programme (PHP) are done manually. In
this paper, a technique based on Analytical Hierarchy
Technique (AHP) is designed and developed in order to
make an evaluation and selection of PHP application. The
aim is to ensure the selection process is more precise,
accurate and can avoid any biasness issue. This technique
is studied and designed based on the Pauper assessment
technique from one of district offices in Malaysia. A
hierarchical indexes are designed based on the criteria that
been used in the official form of PHP application. A
number of 23 samples of data which had been endorsed
by Exco of State in Malaysia are used to test this
technique. Furthermore the comparison of those two
methods are given in this paper. All the calculations of
this technique are done in a software namely Expert
Choice version 11.5. By comparing the manual and AHP
shows that there are three (3) samples that are not
qualified. The developed technique also satisfies in term
of ease of accuracy and preciseness but need a further
study due to some limitation as explained in the
recommendation of this paper
Exam Timetabling Using Graph Colouring Approach
Timetabling at large covering many different types of
problems which have their own unique characteristics. In
education, the three most common academic timetabling
problems are school timetable, university timetable and exam
timetable. Exam timetable is crucial but difficult to be done
manually due to the complexity of the problem. The main
problem includes dual academic calendar, increasing student
enrolments and limitations of resources. This study presents a
solution method for exam timetable problem in centre for
foundation studies and extension education (FOSEE),
Multimedia University, Malaysia. The method of solution is a
heuristic approach that include graph colouring, cluster heuristic
and sequential heuristic
Hybrid Palm Oil Mills Maintenance System
This paper proposes a technique that enhances snapshot model for cause of failure and decision analysis in order to easily assist maintenance engineers during identification and definition of the actual maintenance problem. The technique is a hybrid of failure mode, effect and criticality analysis, information technology and decision analysis into the snapshot model. A tool that automates the hybrid of snapshot modelling for cause of failure and decision analysis is also developed. This tool aims to ensure maintenance engineers can conduct snapshot modelling with little or without the help of operation research experts to facilitate in the cause of failure and decision analysis process
Application of ANFIS in predicting TiAlN coatings flank wear
In this paper, a new approach in predicting the
flank wear of Titanium Aluminum Nitrite (TiAlN) coatings
using Adaptive Network Based Fuzzy Inference System
(ANFIS) is implemented. TiAlN coated cutting tool is widely
used in machining due to its excellent resistance to wear. The
TiAlN coatings were formed using Physical Vapor Deposition
(PVD) magnetron sputtering process. The substrate sputtering
power, bias voltage and temperature were selected as the input
parameters and the flank wear as an output of the process. A
statistical design of experiment called Response Surface
Methodology (RSM) was used in collecting optimized data. The
ANFIS model was trained using the limited experimental data.
The triangular, trapezoidal, bell and Gaussian shapes of
membership functions were used for inputs as well as output.
The results of ANFIS model were validated with the testing
data and compared with fuzzy rule-based and RSM flank wear
models in terms of the root mean square error (RMSE), coefficient
determination (R2) and model accuracy (A). The result
indicated that the ANFIS model using three bell shapes
membership function obtained better result compared to the
fuzzy and RSM flank wear models. The result also indicated
that the ANFIS model could predict the output response in
high prediction accuracy even using limited training data
Correlated Node Behavior Model based on Semi Markov Process for MANETS
This paper introduces a new model for node behavior namely
Correlated Node Behavior Model which is an extension of Node
Behavior Model. The model adopts semi Markov process in
continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabilistic parameters based on the Markovian model. Computed from the transition probabilities of the semi-Markov process, the node correlation impact on network survivability and resilience can be measure quantitatively. From the result, the quantitative analysis of correlated node behavior on the survivability is obtained through mathematical description, and the effectiveness and rationality of the proposed model are verified through numerical analysis. The analytical results show that the effect from correlated failure nodes on network survivability is much severer than other misbehaviors
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
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