Time filter

Source Type

George Town, Malaysia

Peng Chang B.,KDU College | Peng Chang B.,Universiti Sains Malaysia | Md Akil H.,Universiti Sains Malaysia | Bt Nasir R.,Universiti Sains Malaysia | Khan A.,Abdul Wali Khan University Mardan
Tribology International | Year: 2015

Abstract This study examined the wear characteristics of ultra-high molecular weight polyethylene (UHMWPE) reinforced with talc particles. Analysis of variance (ANOVA) was used to construct empirical models to show the connection between control factors (filler loading, load and sliding speed) and responses (wear rate and average coefficient of friction (COF)) of UHMWPE. Response Surface Methodology (RSM) was employed to project the optimization of the control variables in order to reduce the wear of UHMWPE. It was discovered that the rate of wear and the average COF of UHMWPE could be minimized by the inclusion of talc. The SEM analyses of the worn surfaces and transfer films indicated that the degree of wear on the surface of the UHMWPE was reduced. © 2015 Elsevier Ltd. All rights reserved. Source

Danyaro K.U.,Petronas University of Technology | Jaafar J.,Petronas University of Technology | De Lara R.A.A.,KDU College | Downe A.G.,Petronas University of Technology
Proceedings 2010 International Symposium on Information Technology - Visual Informatics, ITSim'10 | Year: 2010

Web 2.0 is increasingly becoming a familiar pedagogical tool in higher education, facilitating the process of teaching and learning. But this advancement in information technology has further provoked the problems like plagiarism and other academic misconduct. This paper evaluates the patterns of use and behavior of tertiary level students towards the use of Web 2.0 as an alternative and supplemental eLearning Portal. A total of 92 students' data were collected and analyzed according to [1] 'Self-Determination Theory' (SDT). It was found that students use social websites for chatting, gamming and sharing files. Facebook, YouTube and Wikipedia are ranked as the most popular websites used by college students. It also reveals that students have an inherent desire of expressing ideas and opinion online openly and independently. This sense of freedom makes students feel more competent, autonomous or participative and find learning to be less tedious. Therefore, this report, recommends educators to adopt strategies for acknowledging students' feelings and activities online to reinforce positive behavior effective learning. Finally, we discussed the implications of Web 2.0 on education. © 2010 IEEE. Source

Razak H.A.,KDU College | Ibrahim Z.,University Technology of MARA | Hussin N.M.,University Technology of MARA
Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10 | Year: 2010

Course timetabling problem is common in schools and higher learning institutions. Courses must be allocated to teachers/lecturers, students, timeslots and venues without violating a set of predefined constraints determined by the respective institution. The problem is complex due to the different requirements set by the institutions and the process of finding a solution can be lengthy and time-consuming. This paper presents our research findings on implementing a bipartite graph edge coloring approach in solving a course timetabling problem. The data set used in this study is gathered from the Department of Information Technology in a Private College. Three data sets (from three different semesters) were tested in our experiment. The results are analyzed by comparing the total penalties of violation on a set of predefined soft constraints between the current timetable (produced manually) and the timetable from our prototype developed. The results from experimental research showed that the bipartite graph edge coloring approach on the course timetabling problem in this case study was able to reduce the penalties, thus producing better quality timetable compared to the manual timetable. In future research, more experiments can be conducted using the bipartite graph edge coloring approach with larger scope of data sets. ©2010 IEEE. Source

Kodukula S.,KDU College | Maimaiti N.,KDU College
World Academy of Science, Engineering and Technology | Year: 2010

There have been many variations of technologies that helped educators in teaching & learning. From the past research it is evident that Information Technology significantly increases student participation and interactivity in the classrooms. This research started with a aim to find whether adoption of Wi-Fi environment by Malaysian Higher Educational Institutions (HEI) can benefit students and staff equally. The study was carried out in HEI's of Klang Valley, Malaysia and the data is gathered through paper based surveys. A sample size of 237 units were randomly selected from 5 higher educational institutions in the Klang Valley using the Stratified Random sampling method and from the analysis of the data, it was found that the implementation of wireless technologies in HEIs have created lot of opportunities and also challenges. Source

Kartika I.,KDU College | Mohamed S.S.,KDU College
Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 | Year: 2011

Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment. The result of moving object detection using FD is not perfect that enable this research to experimental two existing post-processing techniques which are adaptive threshold and shadow detection in HSV color space for outdoor environment. Experimental result showed that FD with post-processing techniques are able to detect good moving object in outdoor environment with no shadow based on accuracy improvement data. © 2011 IEEE. Source

Discover hidden collaborations