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.

Submission Deadline

Volume - 62 , Issue 09
09 Oct 2020
Day
Hour
Min
Sec

Upcoming Publication

Volume - 62 , Issue 08
30 Sep 2020

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-15-03-2020-10533
Total View : 299

Title : Psychometric Assessment of Mathematics Algebra Item Banks for Computerized Adaptive Test

Abstract :

The purpose of the research is to produce the item bank to measure polytechnics students’ performance in Mathematics algebra topic. Computerized Adaptive Test, an adaptive mode of testing that has the features to measure the performance of test takers based on their ability level. Computerized Adaptive Test has the ability to precisely target test item difficulty to estimate test-taker ability. However, computerized test can only be realized if item bank that contains sets of questions with different difficulty levels is developed. In order to produce the item bank, this study uses a combination of linking and equating of 36 sets of test related to Mathematics Algebra. All 36 sets of test are administered to a sample of 1,464 students from 4 polytechnics in northern Peninsular Malaysia. The findings of this research show that the item banks are credible and reliable.  Using Rasch model and item-response-theory, this research proves that the items can be used for item bank designed for Computerized Adaptive Testing

Full article
Journal ID : TRKU-15-03-2020-10532
Total View : 255

Title : Effects of Grinding Parameters on Surface Roughness of Workpiece when Dry Grinding X12M Steel by CBN Wheel

Abstract :

This paper presents the effect of grinding parameters on surface roughness of workpiece’s surface when dry cylindrical grinding X12M steel using CBN grinding wheel. The factor selected as the criterion for evaluating the grinding process is the surface roughness of the workpiece. The CBN grinding wheel, 1A1-400D-45T-2X-75HSL100N100BI, was used in this study. Three grinding parameters mentioned in this study include feed rate, velocity of workpiece and depth of cut. The experiment was conducted with fifteen experiments according to the Box-Behken matrix. The influence of the each parameter and influence of the interaction between the grinding parameters on surface roughness was also analyzed in this study. This study has also built a regression model on the relationship between surface roughness and the grinding parameters with the correlation coefficient  R2 = 0.9805. This is the basis for selecting and controlling the value of the grinding parameters in order to obtain the surface roughness according to specific requirements

Full article

Certificates