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Technology Reports of Kansai University

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.

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Submission Deadline

Volume - 66 , Issue 01
20 Jan 2024
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Upcoming Publication

Volume - 66 , Issue 01
31 Jan 2024

Aim and Scope

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:

Electrical Engineering and Telecommunication Section:

Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

Computer Science Section :

Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks.

Civil and architectural engineering :

Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.

Mechanical and Materials Engineering :

kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.

Chemical Engineering :

Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Food Engineering :

Food science, Food engineering, Food microbiology, Food packaging, Food preservation, Food technology, Aseptic processing, Food fortification, Food rheology, Dietary supplement, Food safety, Food chemistry.

Physics Section:

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.

Mathematics Section:

Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.

Latest Articles of

Technology Reports of Kansai University

Journal ID : TRKU-25-07-2020-10934
Total View : 337

Title : Superlearning Learning Technique and Learning Outcome of the Einführung Zur Übersetzungswissenschaft

Abstract :

This research is a quasi-experimental type of research, which aims to prove whether there is an influence on the application of Super-learning teaching techniques to the learning outcomes of the Einfȕhrung zur Ȕbersetzungswissenschaft students of the German Language Study Program Faculty of Teacher Training and Education in Pattimura University. There are 2 (two) variables in this study, namely learning techniques Super Learning (as an independent variable) and learning outcomes of the Einfȕhrung zur Ȕbersetzungs-wissenschaft course (as the dependent variable). The sample of the study was Semester 4 students who took the Einfȕhrung zur Ȕbersetzungswissenschaft course, totaling 30 respondents. The research instrument was a pre-test and post-test instrument. The data of this study were processed and analyzed with the Wilcoxon comparative test, with the following results: The calculated Z value = 4,378, while the value of Ztable with α = 0,05 is 0,9997, which means the calculated Z value > Z tabel value, thus H0 is rejected. This also means that there are significant differences between pre-test and post-test learning outcomes of the Einfȕhrung zur Ȕbersetzungswissenschaft course, with the application of Super-learning learning techniques

Full article
Journal ID : TRKU-25-07-2020-10933
Total View : 324

Title : Evaluation and Measurement of Automobile Service and Maintenance Company Performance Using Cobit Framework and Balanced Scorecard

Abstract :

This research was conducted in one of company engaged in the field of automobile service and maintenance that has been starting since 1975. This company has a financial application called GBS. This application has a problem that is the difference between the automatic calculation by using the application and calculation by using the manual way. In this study, the authors use the framework of COBIT and BSC model, while the COBIT domain in use is AI 1, AI 2, DS 1, DS 10, DS 11, DS 13 and ME 1, ME 2, ME 3. For the BSC model the author uses the internal perspective of the company. The highest level is in the domain DS 11, and the lowest level is in the domain ME 3. Based on the research results, the authors advise companies to make improvements to the application, so the problems that occur within in company can be resolved

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