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:
Due to the huge number of devices that will connected in the near future within the Internet environment, this will lead to significant momentum in the data exchange over the Internet, which will reduce the speed of data transfer and reduce the speed of data processing reaching inefficient work, that leading to inability to meet the requirements of work. The future is Internet of Things (IoT), ability to incorporate intelligence devices to make use of contextual information, collecting information’s with the regards of a given situation to select appropriate path with the huge numbers of device and applications, the key idea is that rather than sending acknowledge across the network, the problem is high energy consumption, increase time delay and may cause an unbalanced load in a network. Therefore, we propose an efficient protocol that addresses these cases in order to increase the efficiency of the work to an acceptable level. In this paper, the design of the protocol based on distribute Learning, information’s of each nodes (things), these factors are exchanged among neighbors. Each node allows sharing their information’s with rounding neighbors to achieve additional information about the adapting routing in the network and each node such as a system that can use local information gathered from neighbors. This proposal based on three basic principles: Energy consumption, time delay and load balancing
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
