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  '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.
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.
Tan C.W.,KDU College |
Chin S.W.,KDU College |
Lim W.X.,KDU College
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 | Year: 2013
This paper introduces a human computer interaction system by using hand gesture recognition to apply into game-based rehabilitation application. The basic concept of this project is to assist patient to carry out rehabilitation with hand gesture recognition, meanwhile therapist is able to follow recovery progress of patient through results. In this manner, a rehabilitation system created aimed to increase efficacy in patient treatment with interactive game. The system is applied in real time application to contribute as a function of a virtual mouse. Approach proposed including hand region segmentation, hand palm partition and finger counting. Computer mouse is configured to move according to the location of hand palm region, and perform function of ordinary mouse according to number of fingers detected. In the analysis, experiments is carried out to show how this system collaborate with the simple rehabilitation game in computer. Experiment evaluation as shown has successfully demonstrate the effectiveness and robustness in performing the mouse function and feasible to be implemented into rehabilitation games. © 2013 IEEE.
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.
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.
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.
Lee P.J.,KDU College |
Chin S.W.,KDU College
IET Conference Publications | Year: 2014
Education is the most important investment in the modern and complex industrial country. Currently, there are numerous methods to track and grasp how well a child is able to concentrate during lessons. However till date, there are still very limited studies in implementing adaptive self-learning techniques to suit the needs and preferences of each child for better learning experiences. Early Childhood Educator Assistant with Brain Computer Interface (BCI) is an interactive self-learning system capable of monitoring the learning capabilities of children and providing feedback by using visual optimization such as short video clip playback if the concentration of the child drops. An adaptive self-learning system able to change the learning content difficulty based on scores of children towards the lesson. The Emotiv neuroheadgear will detect EEG signals emitted from the scalp then be further processed to determine the state of mind and engagement levels of the child so that feedback can be sent based on the varying conditions. This system has been tried and tested with a group of children between the ages of 4 to 6 years old and shows an improvement in the engagement levels.
Hsiung T.W.,KDU College |
Shaik Mohamed S.,KDU College
ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics | Year: 2011
The biometric identification system is one of the technology used in the recognition system. Iris recognition system is the most reliable system for an individual identification. Nowadays, many applications have been implemented with this feature such as the time attendance system for high security environment, hospitals, airports, government agencies, educational facilities, and etc. The conventional method applied on the security is not reliable such as the passwords may be forgotten or hacked and ID cards may be lost or forged. The main purpose of this project is to achieve good quality performance of iris recognition using low resolution image for attendance monitoring system. This project apply two existing methods which are Hough Transform and Daugman's Integro Differential Operator to identify the best technique of iris detection using low resolution image as input. The results show that these techniques capable to recognize the low resolution iris with the accuracy of 100% when applied Hough Transform compared to the Daugman's Integro Differential Operator with only 86.88%. © 2011 IEEE.
Tan H.H.,KDU College |
Chin S.W.,KDU College
IET Conference Publications | Year: 2014
People tend to come up to a point where they ponder about what to do in the future. Although there are various career planners available to help narrowing the suitable job scope, but the popularity and reliability has deteriorates over time. A valid reason behind this is due to false responses from written and verbal career assessment. Thus, personal career planner (PCP) via brain-computer interface (BCI) proposed in this paper to complete the career assessment through the analysis of instant brainwave response corresponds to the prompted questions. Those excitement levels are retrieved by using Emotiv neuroheadgear and are distributed evenly to the respective questionnaires. The questionnaire is designed based on Dr. Holland career theory - The Holland Codes. The system will then classified accordingly and upshot the recommended career opportunities. This paper includes experiments to prove that brainwaves can response instantaneously to external stimuli, which are the major concerns in the proposed system. Lastly, the system is tested together with written assessment. The proposed PCP via BCI achieves the reliability of 87.5%.
Jia-Wei S.,KDU College |
Wen C.S.,KDU College
IET Conference Publications | Year: 2014
A study on non-invasive brainwave optimization provides a system capable of detecting emotional imbalances among users and attempt to help the user achieve emotional equilibrium via music playback. From this system, a study can be done on the relationship between EEG signals with emotions and music. Four emotions are chosen for this study namely engagement, excitement, meditation and frustration. By understanding this relationship, diagnosis of an emotional imbalance can be done and brainwave optimization can be implemented in the place of medication when treating emotional imbalances. This paper shows that emotions can be distinguished by examining the EEG waveform in the power density spectrum. The difference of EEG waveforms before and after optimization for the aforementioned emotions is shown to demonstrate the effect of music on emotions.