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 09
10 Oct 2021
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Upcoming Publication

Volume - 63 , Issue 05
31 Aug 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

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-08-10-2020-11219
Total View : 496

Title : Condition Rating Examination Based on Visual Assessment of Concrete Damage Caused By Poor Implementation

Abstract :

Concrete damage condition rating based on visual assessment is qualitative and subjective and depends on the investigator’s experience, knowledge, and skills, which results in varied assessments from each investigator. To resolve this problem, a condition rating scale of visual-based concrete damage assessment has been developed in order to show a measured condition and rate the concrete damage conditions of buildings. The scale can describe buildings that are in very good to very bad condition; a very bad rating means that the building cannot be used. This assessment also calculates the building structure element’s critical rating. The condition rating scale is determined based on the concrete’s damage condition and the concrete’s compressive strength requirements. Concrete damage-condition rating values are determined based on expert appraiser feedback that was obtained through a questionnaire, which was processed using the fuzzy logic approach. The condition rating scale usage of visual-based concrete damage assessment will show the building’s structural element damage condition rating and the building damage condition rating as a whole, as well as the actions that need to be taken. Assessment results can also show a priority scale to determine the next actions to be taken by the decision-maker.

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Journal ID : TRKU-08-10-2020-11218
Total View : 430

Title : Contemporary Development Trend of Supply Chain Blockchain Technology-based in Automotive Industry

Abstract :

Supply chain (SC) lays out the heart of every industry, including the automotive industry.  Recently, several studies in SC has been conducted to look for the innovation that potentially adopted to gain the value-added for the industry. In this line, SC in the automotive industry is a very complex process and required the high standard for the product such as a car. In this context, the companies are collaborating to supply the component for the automotive industry.  However, a single component defect might cause huge financial losses for the company or life. Technically, the new Blockchain technology with matching features is required by automotive. In this set, SC explores the possible adoption. This bibliography descriptive research is facilitated by Publish or Perish tools to gather the high-quality works of literature from Scopus index database. It also used VosViewer tools to process the thirty-seven papers found to visualize the development trend of SC Blockchain Technology based in the automotive industry. The study revealed essential Blockchain Technology research in the automotive industry started in 2017 and eight essential relevance terms or important factor for the automotive industry

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