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 - 63 , Issue 11
10 Dec 2021
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Upcoming Publication

Volume - 63 , Issue 11
31 Dec 2021

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. AMA, Agricultural Mechanization in Asia, Africa and Latin America Teikyo Medical Journal Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science

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-28-04-2020-10711
Total View : 247

Title : Model of Alfa Parameter Development at Nakayasu Synthetic Unit Hydrograph Based on the Watershed Physical Characteristic in Some Parts Watershed of Java Island

Abstract :

Nakayasu synthetic unit hydrograph is one method that is widely used in the analysis of design flood discharge in Indonesia. The Nakayasu synthetic unit hydrograph method requires relatively little data and the results still need to be tested in order to fit the reality. Following the various studies related to α parameter that have been carried out, these parameters are still not optimal and only valid in certain locations, so the formulation is needed to determine the value of α parameter which is adjusted to the physical watershed characteristics in Java. This research aims to develop a model α parameter that is related to the characteristics of the watershed in Java. The physical parameters of the watershed are shape factor (E), watershed slope (S), the distance from the outlet to a point on the stream nearest the centroid of the watershed area (T), watershed length (I), perimeter (W) and watershed area (A). The α parameter developed is generated from statistical analysis for several watershed characteristic variables that have a significant effect. The results of the model development α parameter are with R2 = 0.8768 and R = 0.9364

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Journal ID : TRKU-28-04-2020-10710
Total View : 0

Title : Effect of Student Attendance in Supplemental Instruction Programmes on their Academic Performance: A Case Study at the University of KwaZulu-Natal, South Africa

Abstract :

Supplemental instruction (SI) is one of the academic support programmers in the College of Agriculture, Engineering and Science at the University of KwaZulu-Natal, South Africa. Supplemental instruction is based on the concepts of collaborative peer-learning principles, integrating academic learning and critical thinking skills with module content, ultimately developing higher-order thinking and the desired technical competence. This study explored the relationship between student attendance at SI sessions and their academic performance in their respective modules across two schools; School of Life Sciences (SLS) and School of Mathematics, Statistics and Computer Science (SMSCS). Data were collected from first and second year modules offering SI by these schools during the first semesters of 2016 and 2017. A general trend in SI attendance was seen across the modules with more students attending SI in the beginning of semester, before a test or exam. Overall, the pass rates of SI attendees were higher than that of the non-SI attendees. Importantly, among the regular SI attendees, there was not only a noticeable improvement in the pass rate but also of the academic performance in terms of their average marks. In addition to the number of SI sessions attended, the relative effects of other variables such as ethnicity, gender and matric score were also focused on; SI attendance and matric scores were found to be good predictors of the average marks obtained by the students. The results of this study supports the use of SI as an effective academic support programme in these schools.

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