Asian Journal of Research in Computer Science

The increasing development of intelligent technologies offer opportunities for objects in the real world to communicate using sensors and communication networks. One of the application areas is the smart campus for the smart information system. The construction of the smart campus based on smart technologies such as Bigdata, cloud computing, mobile computing, network infrastructure needs the understanding and the exploration of these technologies in the development process. This conceptual paper explored the roles of smart technologies in developing a smart campus. Analysis of the key concepts; the architectural layers for the smart campus were proposed hoping to promote smart campus information system for a sustainable intelligent campus. The concept could be a platform for developing smart city in a developing context.

In order to predict the dynamic distribution of special population effectively, it is very necessary to establish an early warning population system. In this paper, a Back Propagation (BP) neural network quantitative prediction optimization model based Genetic Algorithm (GA-BP model) is proposed. Firstly, the initial weight and the thresholds of the BP network are optimized by GA. Then, the BP network starts training the related data of special population, which will be used to predict the distribution of special population. Finally, some standard errors are used to verify the proposed GA-BP model, and the simulation results demonstrate that GA-BP model outperforms the GA both in prediction accuracy and convergence. According to the average value of the M_SE index numerical results of the defined function, the following numerical results are obtained: for the model established, the average value of the GA-BP function is 10.3273 compared with the average of 20.8815 of the BP model, and has better performance and more stable performance.  In addition, the improved model can be adopted to show the early warning of the population distribution, which has a certain reference value for urban traffic managers.

With the Public demanding efficient and transparent procedures and the clients as well as the vendors seeking lower cost and flexibility in Public Procurement Process (PPP), PPP is becoming more complicated, expensive and fragile. Proper methods of feasible benefits of Public E-Procurement (PEP) are quickly becoming a major influence in the mainstream of Public Procurement Enterprises (PPE). PEP is intended to improve transparency, efficiency, and value for money by exposing various procurement activities as tasks over the internet. Current PEP Procedures lacks an organized framework to capture the essential tasks required for successful Procurement Processes, it also pays little attention to task complexity as an important key design feature that impacts other internal PEP attributes. Although traditional Procurement methods have been with us for sometimes, until now no one has provided a reliable PEP framework. This paper proposed a framework based on Business Process Management and Notation Approach (BPMN) for the implementation of PEP by dealing separately with strategic tasks. The BPMN can help PPE simplify and regulate PEP implementation by explicit identification of PEP specific tasks in the BPMN. We provide an example case study to demonstrate proposed PEP task. Twenty users were engaged, the result showed the tool to be a preferred choice to the traditional method of a bidding process. The benefits of PEP to its adopters were also investigated.

People are programming on their personal computers since the 1980s, but today's mobile applications are making computing as “personal” as never before. Never in the history of the use of technology in education has there been a technology so widely available to citizens as mobile technology. According to this trend, we are moving into a new era of consuming information via mobile computing, one that promises greater variety in applications, highly improved usability, and networking. Our consuming information culture gives us all sorts of opportunities for entertainment, even learning using high-tech devices, which are considered to be black boxes to most of us, because only few people can create applications. Even though, more and more students are interested in developing their own mobile applications. In this context, we present our experience with App Inventor - a user friendly platform and drag-and-drop block language to create Android apps. The present paper is an intro to the creation process for an applied mathematics app, started 4 years ago, corresponding to the requirements of our classroom consuming information culture.

The purpose of this study is to investigate the factors that influence the adoption of Software as Service (SaaS) at Small Medium Enterprises (SMEs) that have adopted online business in Sri Lanka. Prior studies have shown that SMEs significantly benefit due to the adoption of SaaS. The research sough to explain the adoption of SaaS using Awareness, Trust, Cost, Top Management Support, Complexity and Relative advantage. Conceptualization of this researcher’s variables and their interrelationship have been supported by theory of Diffusion of Innovation (DOI) of Rogers’ (1962) and Technological Organizational and Environmental (TOE) Framework of Tornatzky and Fleisher (1990). The study was conducted among 250 randomly selected SMEs adopting online business using questionnaires addressed to managerial and ICT professionals who were capable of making ICT decision at SMEs under study. However only 224 questionnaires were returned with complete data required for the purpose of analysis. The study employed principal component analysis to reduce the data and employed Ordinary Least Square (OLS) to test the relationship between the variables. It is found that Cost (CT), Complexity (CX) and Relative Advantages (RA) are having significant impact on SaaS adoption in SMEs in Sri Lanka. This study extends the existing body of knowledge by providing empirical support for explaining SaaS adoption by SMEs in Sri Lanka. The finding will help various parties engaging in promoting the adoption of SaaS among SMEs with the view of SMEs’ development in Sri Lanka. On this basis, the researchers are able to recommend firstly, that SaaS is playing a significant role for the development of SMEs in this area of study and finally, that software vendors, policy makers, technological consultants and application developers intend to adopt SaaS should consider the validated model tested in this research study.