Hatma Suryotrisongko

Analysis of sleep deprivation effect to driving performance using reactiontest simulation

Sleep deprivation condition might lead to falling asleep through inappropriate situations, such as driving. Driving in a state of fatigue or drowsy from lack of sleep will be far worse than driving after alcohol consumption. Hence, the authors develop a driving simulator using Java to modify the control and rules of “OpenDS” application in order to simulate and calculate the automatic “ReactionTest” for 25 respondents simulating in both normal conditions and sleepy conditions when driving. Through this study, the authors obtained that the difference of driving performance in terms of reaction rate when driving the car in sleep deprivation condition and the normal condition is equal to 1.08 seconds. The results also shown that the risk of loss of control that can occur to the driver of the car in units of meters (m), is equal to 0.3024 x the cars speed. This study aims to reduce the number of traffic accidents caused by sleep deprivation that occur in society by giving a recommendation to the driver that forced to drive in lack of sleep condition. In top of that, the authors propose to create an understanding for changing the social habits of driving toward a better way.

The Potential of Microservice Architecture for Internet of Things (IoT) in Smart City, a Literature Review

A smart city is a term that is often used in a literature that refers to a citys intelligence. The visions of smart city are to utilize its community resources, improving the quality of its services, and reducing the costs for public administration operations. Internet of Things (IoT) is one of the main keys. To accomplish the visions, IoT needs to standardize the technology and web by developing the platform on a large scale. It is a challenge for the city to build widely distributed applications and platforms on the Web. The Microservice Architecture style comes up and offers a lot of convenience and it becomes a new trend for developing Smart City IoT platforms. Before Microservice Architecture, Service Oriented Architecture was previously widely used. To find out Microservice Architecture’s simplicity and potentials, there are two steps to follow: (1) Setting up a Search Strategy on literature review to collect subset of papers with Google Scholar, (2) synthesizing and compiling a subset of literature review to extract data and information to be a literature view. After some reviews of the literatures, most of them agree with the use of microservices architecture in creating or developing a smart city of IoT because the microservices architecture offers a lot and can help the work of IoT smart city developers.