In the Fourth Industrial Revolution environment, plenty of automatic and smart software in diverse fields will come out, such as virtual reality/augmented reality (VR/AR), autonomous robots and vehicles, smart factoring, and so on. In Korea, especially, one important issue is the cyber–physical system (CPS), used for monitoring and controlling the smart and automatic system in a smart city. This kind of system, therefore, needs to have good performance; otherwise, it may not respond in time. To solve this, we propose a code visualization approach to reduce code complexity based on a static analysis, which identifies bad codes against performance. To ensure better performance, we make our queries identify performance degradation factors, store statically analyzed data into database (DB) tables, and visualize bad operation patterns. For performance improvement, we can refactor with them. As a result, we reduce the code complexity of CPS-based software to obtain good performance. With this approach, we expect to have better performance and a reduction in the complexity of CPS software without even power consumption.
There are many applications using LBS such as navigations, location tracking, the whereabouts of a friend or employee. Most of these applications have the feature of active service mechanism. In this paper, we propose a system for sensing the stray of any objects within user-specified region as passive service mechanism. The proposed system has been initially authenticated the target objects and then matched between smartphone and a target object using LBS in smartphones. After a period of time, if the object has been break away from the specified boundary region, it is that the smartphone detects the straying status of the object. This system presents a virtual barrier such as a geofence. Therefore, the proposed mechanism will can be used of many applications such as anti-theft/anti-lost of any objects, preventing of stray children. Especially, it will be more opportunities combining with active service mechanism.
In this paper, we present an integrated message framework of BSM and CAM/DENM as safety messages for V2X communications of connected vehicles in VANETs, and apply it to the mobile virtual fence(MVF), which has been preliminarily researched and developed. To do this, the proposed message framework become united an integrated framework adding up context-aware information of the MVF after comparing and analyzing whether or not the common fields between are. And then, the integrated messages are parsed according to the type of original messages at the destination such as vehicles, ITS(Intelligent Transportation Systems), pedestrians that it received.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.