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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Hour
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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-26-07-2020-10939
Total View : 340

Title : Computational Intelligence - Based Solutions for Optimization Problem in Medical Image Registration

Abstract :

In the internet of things era, everything gets connected at anytime from anywhere. Big data results from increasing in transforming raw information from different sources. In this context, an efficient processing approach has used. Image registration techniques consider one of the widely used techniques for manipulating redundant images before storing them permanently. However, there is still one more issue to discuss with this technique, the optimization problem. Finding the best transformation which requires working with too many solutions is called optimization. The computational intelligence field of artificial intelligence includes many algorithms based on the natural inspired process. The evolutionary algorithm is the first choice for many researchers to overcome this problem for their easy and low-cost implementation. But the local optima problem is inherently in these algorithms. So the researcher tries to use different emerging techniques to overcome this obstacle. In this review, different optimization techniques reviewed and summarized in order to give an extent to the current development in this

Full article
Journal ID : TRKU-26-07-2020-10937
Total View : 309

Title : Optimization of Dressing Parameters for Grinding Convex Shaped Profile Cylinder Part by CBN Wheel on CNC Milling Machine

Abstract :

Grinding is one of the most important finish processing methods for hard-to-machine metallic alloys. For precise grinding, dressing is required. In grinding processes, the dressing regime parameters are the most important enabling factors that need to be determined. This study refers to the influences of the dressing parameters when grinding sharpen convex surface by CBN wheel on CNC milling machine are investigated. Those parameters are the depth of dressing cut, the rate of dressing feed and the speed of grinding wheel. This study has applied Taguchi technique and analysis of variance (ANOVA) to identify the impact of dressing regime parameters on the surface roughness. The results show that the impact level of the feed rate (Fe), the wheel speed (Rpm), the cutting depth (aed) are 38,35%, 28.84%, 24.44% with an error on surface roughness (Ra) is 7.36%. For the desired result “smaller is better”, optimum dressing parameters with the cutting depth of 0.02 mm, the wheel speed of 1000 rpm and the infeed rate of 200 mm/min have been determined. With their optimum dressing parameters, the grinding processe convex shaped profile cylinder part by CBN wheel on CNC milling machine gets the best surface roughness

Full article

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