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:
Restricting the amount of air mass induced into the engine is the most convenient way, and is commonly used to limit engine performance in racing competitions. Student Formula Japan uses this method in its competition. Another regulation is that the engine capacity cannot exceed 710 cc, but the engine must still use a 20 mm restrictor in the air intake system. With the restrictor, it is necessary to adjust various engine geometry parameters to maximize the performance of the engine. In this study, these adjustments were made to the camshaft phasing configuration, and it increases engine power and torque of up to 3%. The peak power and torque are delivered at lower engine speeds of 5,000 - 8,800 RPM. It provides progressive torque delivery and makes the engine much more suitable for FSAE and Formula Student applications. Modification of advance timing causes the power and torque curve at low speed to be wider, but its peak power and torque to be lower. Modify the valve timing configuration is the easiest way to adjust the engine performance characteristics on the track. These findings contribute to adjusting the valve timing configuration into advanced timing
The last days, the data and internet are become increasingly growing which occurring the problems in big-data. For these problems, there are many software frameworks used to increase the performance of the distributed system. This software is used for available of large data storage. One of the most beneficial software frameworks used to utilize data in distributed systems is Hadoop. This software creates machine clustering and formatting the work between them. The Hadoop consists of two major components which are Hadoop Distributed File System (HDFS) and Map Reduce (MR). By Hadoop, we can process, count and distribute of each word in a large file and know the number of affecting for each of them. In this paper, we will explain what is Hadoop and its architectures, how it works and its performance analysis in a distributed system according to many authors. In addition, assessing each paper and compare with each other
