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 grade 12 pass rate in mathematics is of national concern in South Africa. This pass rate is influenced by the quality of teachers with which the learners are faced. In this paper we report on the level of understanding of content by grade 12 mathematics teachers. We specifically studied their performance in grade 12 assessment tasks in trigonometry, functions and calculus. The sample (n=28) of teachers was selected by the mathematics subject advisor of a district in KwaZulu-Natal, South Africa. The teachers were informed that on the fifth day after the first session they would write a test based on grade 12 mathematics examination type questions on functions, trigonometry and calculus. That test of one-hour duration was set and marked by the subject advisor. The results for the overall test and for each of the three sections were analysed to determine the mean, standard deviation, minimum score, range, first and third quartiles and to produce histograms. We found that fifty percent of the teachers attained scores of less than 57% in assessment tasks based on trigonometry, functions and calculus. We argued that these low scores of the teachers who are expected to teach the relevant content, could be a contributing factor to the low pass rates by grade 12 learners in the National Senior Certificate Examinations
Axial Flux Permanent Magnet Synchronous Motor (AFPMSM) is chosen for use in electric vehicles because of its high features, good controlling is a demand to meet the desired performance target. This paper proposes a multi-objective approach to optimize the parameters of the proportional-integral (PI) controller b using Particle swarm optimization (PSO) in the Vector control (or FOC) of an (AFPMSM). The PSO method was chosen to optimizing the PI controller’s parameter by using a multi-objective cost function, which represents a comprehensive evaluating function considering the dynamic and steady-state response. This approach improves the performance of AFPMSM speed controller in tracking the desired reference. The mathematical model of AFPMSM was introduced and FOC was used as effective control. Results were obtained, by using MATLAB-SIMULINK, for multiple operational cases to investigate the performance of the AFPMSM. Simulation results show the superior performance of the proposed controller, for tracking different speed references, comparing with traditional methods. Which gives rise-time=0.72s, overshoot=0.05%, and steady-state time=0.73s. Moreover, the proposed controller shows a high degree of robustness against stator parameters variations
