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:
This manuscript addresses an approach to track and exam the rate and amount of studies dealt with gamification in different fields and countries. Articles distributed in Science Direct somewhere in the range of 2018 and 2019 partitioned within this examination. However, it resulting good location within gamification of this database. Working on 24 research most of them was about study. Through these examination new examples in gamifications, practices starting late will be settled and another way will be showed up for researchers. Gamifications watch words utilized amidst curious about process and the majority of the articles with gamifications catchphrases were combined into this examination. Because of this exploration, it is resolved that the most examinations in the field of gamifications were distributed in 2018 and 2019 in Brazil. Especially students were chosen as the example gathering of the explores. It is risen that condition and experimental explore was utilized most extreme as an exploration show. Quantitative information gathering devices were utilized most as a method for information accumulation. It was raised that Science and physical and Marketing is the most broadly utilized field in gamifications. Games based strategy supposedly is utilized as the showing technique in the study
The electrical motor is subject to several types of faults include mechanical and electrical. To improve the reliability of motor an effective diagnostic system is required. This paper introduces an approach for faults diagnosis of BLDC motor using the stator current, control switches as electrical faults and inner bearing fault as mechanical fault. Discrete Wavelet Transform (DWT) has been implemented to extract the best feature for result based on the entropy method that selected the optimal mother wavelet and level. Fuzzy Logic System (FLS) has been applied for data analysis of the open circuit, a short circuit in stator winding, open control switch and inner bearing faults. The output result from FLS represents the operation condition of BLDC motor
