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 study aims to design and develop a prohibited parking detection system. It will focus on the breaking of rule by parking at a fire hydrant. Besides, this study proposed notification and monitoring the rate of parking violations on the detection system. The prototype of the detection device used NodeMCU and multiple Ultrasonic sensors to detect vehicles. Possible sensor placement designs are well-thought-out to achieve the optimum result. For notification, this study used Telegram bot to notify the parking enforcer of any parking violation. A monitoring dashboard system is developed to capture the number of violations detected. From the testing, selected sensor placement design successfully captured the vehicle that attempted to park at the fire hydrant. The prototype successfully sends the data to the Telegram to notify the law enforcer and to the database, which reflects the graph on the dashboard. This study benefitted the parking law enforcer to monitor the vehicles that parked on prohibited parking.
Feedback is essential information delivered by instructors in the teaching, learning and assessment process, to help students be informed about their performance and suggestions for improvement. The effective delivery of feedback helps to improve student's performance and motivation. Thus a structured feedback approach should be used to ensure that important information is delivered systematically with clear objectives. Continuous step-by-step feedback is difficult and less effective to be implemented in face-to-face learning despite its importance in providing students with useful information regarding their learning progress. Thus, this paper proposes a feedback model of game-based learning applications and develops prototypes of such application. The learning application development implements the ADDIE Model which consists of five phases involving planning, design, development, implementation and evaluation to produce application models and prototypes. The development uses Android platform with the help of Android Studio software. The design of the feedback model takes into account Bloom's Taxonomy learning theory which is referred to as the main principle for presenting statistical inference learning materials and interacting with students through games.
The focus of this review is to summarize the cathode buffer layer for bulk heterojunction organic solar cells (OSCs) in the reported literature. The suitable cathode buffer layer favors the collection and the extraction of the charges and helps to improve the performance of the device. Accordingly, it’s crucial to understand the properties of cathode buffer layers and their role in OSCFs. Herein we review a range of materials applied as cathode buffer layers for OSCs. For the development of OSCs with higher efficiency and better stability, the right choice of interface materials is crucial. To obtain the optimum device, it is of vital importance to optimize the interfaces, the structures of the device (conventional or inverted) and the processing methods (wet or dry deposition).
A two-dimensional (2D) fluid-analytical transformation coupled to the plasma reactor model was developed using the COMSOL capacitively coupling finite element simulation tool with a plasma source included in the model as well as a capacitive bias for the wafer electrode. The bulk fluid plasma model solves the time-dependent plasma fluid equations for the continuity of H+, H2+, H3+, Ar+ and ArH + ions, and electron density. In this work, the ion-molecule kinetics of cold Ar/H2 plasmas are studied in capacitively coupled discharges mainly focuses on the modalization of an 80% H2/20% Ar mixture to illustrate the production rates of ne, H+, H2+, H3+, Ar+ and ArH+ and mainly the dominant ions H3+, Ar+ and ArH+, for this, we have presented the set of cross-sections of Hydrogen and Argon which enter into the calculation of the transport coefficients of the mixture for a certain percentage of each gas, the results will be compared to the measurement data using the lxcat code and we end our work with a presentation of the 1D results for a variation in the mixture from zero up to 100% Ar where the evolution of H+, H2+, H3+, Ar+ , ArH+ and Ar* ions are illustrated.
This study aims to examine the role of credit card usage moderation on the relationship between Money Power Prestige, Money Distribution, and Money Anxiety with Compulsive Buying in e-commerce in Indonesia. This study involved 302 credit card users who had shopped at e-commerce. The research uses non-probability sampling and SEM-PLS to analyze data. The results revealed that only the first hypothesis (the effect of money power prestige on compulsive buying) was proven significant. The rest of the predictions are unsupported. Credit card usage did not show to moderate the relationship between independent and dependent variables. Thus, recommendations for future research are: First, testing the conceptual research model by involving Generation X respondents. Second, replacing variable credit card usage with digital money usage as a moderator. Third, by using digital payment as a moderator variable for future research, it is recommended that research involve primarily Millennial and Postmillennial consumers
