Since 2014, Microservice Architecture (MSA) has been widely applied and deployed by big companies such as Google, Netflix and Twitter. This is a way of architecting software systems in which the services of a single application are decomposed then deployed and executed separately. This research examines the possibility of applying Spring Security Framework and OAuth2 to secure microservice APIs which are built on top of Spring Framework. By developing a Proof of Concept (POC) of an Inventory Management System using MSA on top of Spring Framework, Spring Security Framework and OAuth2. we have conducted security tests over the POC using unit testing and manual testing techniques to examine if there are any vulnerabilities and we were able to show and confirm the effectiveness of the Spring Security Framework and OAuth2 in securing Spring-based APIs.
Culture heritage is identity of country, community and group of people. Intangible culture is a common practice, in the community. Continuously re-created and transmitted. However, culture can only have continuity if people enjoy the conditions to produce and re-created. This paper try to identify the factor of contributing archiving intangible heritage before develop a model as a guideline to archive culture heritage especially intangible heritage via ICT exploitation. This standard model as a kick-start of intangible study and also as guidelines for culture institution in Malaysia to archiving their intangible heritage and make it available for other researcher and the future generation.
Fuzzy modeling and identification methodologies have been successfully used in a number of real-world applications. The Takagi-Sugeno model has often been employed in the modeling and identification of nonlinear technical processes from data. In this context we propose a new fuzzy inference system designed specifically to predict the survival rate in a given medical data. In this study we are concerned with NPC because it is one of the most common cancers in Malaysia. Two training methods were used namely back propagation and a hybrid method to train the FIS model. These two models were performed to evaluate the predictive accuracy, and the results were found to be satisfactory.Keyword -: Fuzzy logic, back propagation, prognosis, nasopharyngeal carcinoma, adaptive neuro fuzzy system.
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