Dengue virus infection is one of those epidemic diseases that require much consideration in order to save the humankind from its unsafe impacts. According to the World Health Organization (WHO), 3.6 billion individuals are at risk because of the dengue virus sickness. Researchers are striving to comprehend the dengue threat. This study is a little commitment to those endeavors. To observe the robustness of the dengue network, we uprooted the links between nodes randomly and targeted by utilizing different centrality measures. The outcomes demonstrated that 5% targeted attack is equivalent to the result of 65% random assault, which showed the topology of this complex network validated a scale-free network instead of random network. Four centrality measures (Degree, Closeness, Betweenness, and Eigenvector) have been ascertained to look for focal hubs. It has been observed through the results in this study that robustness of a node and links depends on topology of the network. The dengue epidemic network presented robust behaviour under random attack, and this network turned out to be more vulnerable when the hubs of higher degree have higher probability to fail. Moreover, representation of this network has been projected, and hub removal impact has been shown on the real map of Gombak (Malaysia).

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Cognitive theory of Multimedia learning has been a widely used principle in education. However, with current technological advancements and usage, the teaching and learning trend of children have also changed with more dependability towards technology. This research work explores and implement the use of 3D Animation as a tool for multimedia learning based on cognitive theory. This news dimension in cognitive learning will foster the latest multimedia tools and application driven through 3D Animation, Virtual Reality and Augmented Reality. The three principles, that facilitate cognitive theory of multimedia learning using animation, addressed in this research are temporal contiguity principle (screening matching narration with animation simultaneously rather than successively), personalization principle (screening text or dialogue in casual form rather than formal style) and finally the multimedia principle (screen animation and audio narration together instead of just narration). The result of this new model would yield a new technique of educating the young children through 3D animation and virtual reality. The adaptation of cognitive theory through 3D animation as a source of multimedia learning with various key principles produces a reliable paradigm for educational enhancement.

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In this paper we discuss a stand-alone system to allow the deaf or hard-of-hearing people and normal people to communicate with each other easily and fluently. We purpose a model for recognizing Malaysian Sign Language through image processing techniques and converting the visual information into textual information at real-time. In order to implement a real time hand gesture recognition system, video footage will be obtained from digital camera or cellphone camera, then hand position and location will be marked and cropping will be done to isolate them. Then the hand gestures will be recognized through image processing and matched to a prebuilt database of gestures which will be used for textual conversion on the screen. In the final step the normal person will type the text and its equivalent animation of hand gestures will be presented. Through this system, real-time recognition of Malaysian Sign Language and textual representation is done, giving more accurate results at least possible time. It will not only benefit the deaf and dumb people of Malaysia but also could be used in various applications in the technology field. This system provides the flexibility to learn Malaysian Sign Language at personal pace, at anytime and anywhere at home or at workplace.