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:
Learning styles can be referred to the ways an individual gathers, processes, and organizes information. Several students prefer learning by doing and practicing, seeing and listening, memorizing and describing, or reasoning logically and intuitively. Learning style has an effect on the learning process and learners’ achievement. The collaborative way to identify learning styles is through a questionnaire or survey. Despite being reliable, these instruments have several shortcomings that hinder the learning style identification such as students are unmotivated to fill out a questionnaire and reluctant to provide information. Thus, to solve these problems, researchers have proposed several approaches to automatically detect learning styles. This paper identifies Felder-Silverman learning style model as a suitable model for learning style detection and proposes to use fuzzy rules to handle the uncertainty in the learning style detection. The evaluation has used the trapezoidal and triangular membership functions based fuzzy logic for 25 students and compared to their results from the Index of Learning Styles questionnaire. The proposed fuzzy inference system obtained 38% similar classification compared to Felder-Silverman learning styles
This paper aims to investigate influence of design parameters on partial gear ratios of a coxial helical gearbox. In order to minimize the direct material cost of gearbox, a cost function has been derived with ten design parameters and subjected to partial gear ratio or the second-stage gear ratio (u2). Thus, the change of the second-stage gear ratio impacts on the minimal direct material cost of gearbox. Therefore, this study has been done to figure out the relation between the second-stage gear ratio and nine other independent design parameters. The central composite design method has been used for planning experimental simulations in which each parameter has three values at low, middle and high levels. Results show that almost design parameters and their interactions have strong influence on the response such as total ratio gearbox ratio (ug), price per kilogram of gear material (Cg.m), price per kilogram of shaft material (Cs.m,), allowable contact stress of stage 2 (AS2) and (Cg.m* Cs.m). The contributions of the coefficient of wheel face width of stage 1 (Xba1, Xba2) and their interactions with other factors on the response are negligible. In addition, a regression model of u2 has been developed with high confidence to be further applied in reality
