In order to minimize the negative effects of autism, early identification and diagnosis are the solutions to get students on the right road to dealing with the problems related to autism and overcoming them. The objective of this research is to develop serious games as a tool for special education teachers to diagnose visual perception problems in autistic students. The development of the visual perception diagnosis games is using the Chalfant diagnosis theory. These diagnostic tools show that it assist and help teachers to diagnose their autism students without the teachers needing to have some experience and knowledge of diagnosing visual perception. This prototype will be a high-tech solution to diagnosing visual perception problems designed for autistic children.

In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very little is known to date about the usefulness of applying data mining in transport related research. From the literature, the frameworks for carrying out knowledge discovery and data mining have been revised over the years to meet the business expectations. In this paper, we apply CRISP-DM for formulating effective tire maintenance strategy within the context of a Malaysian's logistics company. The results of applying CRISP-DM for tire maintenance decisions are presented and discussed.

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Entrepreneurial culture is receiving a greater amount of attention by academician and practitioners. Various fields of studies on entrepreneurship domain have been analyzed using fuzzy methods for prediction. The fuzzy method's application is believed could be utilized to obtain meaningful knowledge on the various areas of entrepreneurship domain of studies.

<p>Basically, multi processes and activities involve in the piping construction (PC) projects needs to be followed before the project is handed over to the customer or client, called multi-project construction environment (MPCE). In PC, the MPCEs exist where more than one project is managed simultaneously within an organization become as a common phenomenon faced by managers that highly possible to face with uncertainty issues, lead to project completion late delivery (PCLD). Dealing with uncertainty in MPCE is a common, though managing uncertainty in PC become more complicated rather that others industry. Therefore, the objective of this paper is to develop the simulation logic model to deal with the uncertainty for PC projects that focused on environmental issues (EI). This result will be proceed for uncertainty model development in the next phase of this research. The simulation logic model development began with qualitative data collection towards the case study, to get all the activities throughout the water supply company. Then, the business model is developed with 14 activities before integrated with the uncertainty factors in EI. The integration of business model and uncertainty factors generated the simulation logic model as main contribution. Once the uncertainty model completely developed, it will provide a medium for PC that confront with MPCE to monitor the uncertainties and prepared to encounter any matters in future. Therefore, it is important to pursue in providing the PC company to all inclusive-model, and helping them in managing and tackling the uncertainty, especially for EI.</p>