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
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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-14-03-2020-10517
Total View : 223

Title : Degree Of Confidence In Artificial Intelligence In Evaluation Of Human Potential In The Labour Market

Abstract :

The article deals with the degree of confidence in artificial intelligence (AI) in the evaluation of human potential on the labor market in Russian regions. The author's team analyzed the respondents' attitude to the evaluation of the qualities of a candidate for a job and the process of recruitment, identified the most comfortable method of evaluating the potential, and determined the possibility of revealing talent by a person and AI. In the article the nature of evaluation of hard skills and soft skills from the standpoint of a person and AI is considered for the first time. In the course of the research it was found out that the degree of confidence of AI in the evaluation of human potential on the labor market is not the same and depends on the age of the respondent, the nature of the evaluation index and experience in using AI. The lower the age of respondents, the higher the degree of AI confidence in evaluation of human qualities, especially hard skills. The main advantage of the article is the identification of the problem of evaluating human potential in the human-AI system. The obtained results can help develop views on the nature of AI application in evaluation of human potential in the labor market

Full article
Journal ID : TRKU-14-03-2020-10515
Total View : 161

Title : Seismic Behavior of Reinforced Normal Strength Concrete and Reactive powder Concrete Eccentrically Loaded Frames

Abstract :

The purpose of this inv estigation is to study the effect of repeated load on reinforced concrete beam-columnconnections. Eight specimens were adopted in this investigation; four spec imens were poured with normal strengthconcrete, and other four specimens were poured with reactive po wder concrete. The frames dimensions are constant; 280mm and 200mm of beam height and width respectively with 1000mm beam length and 200mm square column with 700mmheight. The load was applied at mid-span and at a distance 150mm from the mid-span of beam. The reduction in framecapacity reached to 53.3% due to eccentricity. All tested specimens were failed at cycle 5 with different load level; . thedecrease in stiffness of cyclically loaded frames of normal strength concrete was higher than that of reactive powderconcrete frames. The deflections of cyclically loaded frames higher than that of statically loaded frames. In brief, the frameswith eccentrically and cyclically loading give lowest ultimate strength, first crack load and stiffness with highest deflections

Full article

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