Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
The importance of process monitoring applications continues to grow. Generally, many of the developments in process monitoring are being driven by access to more and more data. Process monitoring is important to understand the variation in a process and to assess its current state. Process monitoring and controlling an organization is of high importance for all process management initiatives. The parallel execution of numerous threads can perform significant increases in performance and overall efficiency in the computer systems. In many computer systems, numerous performance counters are available. For example, performance counters may provide a count of the number of threads executing at a given time. This paper presented an overview of the main research works in the field of the process and thread controlling and monitoring related to physical memory to measure the performance of the operating system. The main finding is that developing strategies needed to make it easy to deal with the monitoring of a large number of data. Furthermore, the used strategies produced improvements of up to 25% and achieved very good results. Besides, the performance of applications with process control executed much faster than without
The application of Global Positioning System (GPS) technology has been applied by many companies and organizations, such as transportation, logistics, retail, security and others. GPS technology could be in the form of an Indoor Positioning System (IPS), where IPS is a positioning system for finding objects in one room such as in a building or shopping center. This research was conducted in one of the largest shopping centers in Jakarta (AG Mall) by adopting application of IPS using the K-Nearest Neighbor (KNN) algorithm and the Floyd Warshall algorithm. Testing process of the use of the Floyd Warshall algorithm is to determine the shortest distance at the user's signal point with the aim of comparing the shortest route. KNN algorithm calculates the position of the user or visitor with the wifi mall area point as the coordinates of the signal location from IPS to the destination. The conclusion from the research is that the success rate in detecting the user's location is 73%, the success rate in displaying data and a brief description of the store is 100%, while the success rate in displaying the route is 83%. IPS technology reads based on wifi or access points at each point of objects or shops that have previously been mapped based on wifi areas
