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 - 64 , Issue 06
28 Aug 2022

Upcoming Publication

Volume - 64 , Issue 06
31 Aug 2022

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: Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology

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-20-04-2020-10700
Total View : 188

Title : Analysis of a Charge Controller Circuit with Maximum Power Point Tracker (MPPT) For Photovoltaic System

Abstract :

The limited availability of resources to meet day-to-day increase in power demand due to the limitations of conventional energy resources have become the concern of every nation. An unpleasant case is that of Nigeria where the power supply depends mainly on hydro, leading to inefficient power generation and distribution. In this research, a charge controller with Maximum Power Point Tracker (MPPT) for photovoltaic system was implemented using a micro controller PIC 16F8768 and a prototype was constructed with an output voltage of 24 volts for optimum energy transfer throughout a day. Proteus 8.0 software was used for the task. The average of each term; voltage, current and power outputs were taken along their efficiencies for both dry season and rainy season. The MPPT is responsible for extracting the maximum possible output from the photovoltaic and feeding it into the load via the boost converter which step up the voltage to the required level. The performance characteristics of the charge controller with MPPT and without MPPT of the different output voltages were measured. Both output voltage and currentwith the MPPT and without MPPT were compared in terms of time (dry season and rainy season) and total power was evaluated. By using Proteus 8.0 software, the charge controller with MPPT was also simulated. Result shows that the efficiency of power without MPPT was 58.7% whereas with MPPT was60.33%. The charge controller with MPPT gives 5.632 W maximum power at 3:05 pm. The charge controller with MPPT has better performance even though this advantage is at the expense of additional components that make up the tracking unit of the charge controller system. Therefore, it can be recommended where the availability of grid is very low. Another advantage of using charge controller circuit with MPPT is that it supports portable operations where necessarily

Full article
Journal ID : TRKU-19-04-2020-10698
Total View : 248

Title : Rainfall Erosivity Index Model for Predicting the Potential Erosion Rate by Using Rainfall Simulator

Abstract :

This research intends to investigate the rainfall erosivity index that has the highest correlation the surface run-off volume and the volume of erosional soil. In addition, this research aims to determine the most effective rainfall erosivity index due to the observation. The methodology consists of modeling by using rainfall simulator in the hydrology laboratory. Then, the linier regression analysis is used for formulating the model. The result shows that the rainfall intensity will influence the erosivity during the certain time with the determination coefficient: R2 = 0. 997.. Based on the variance analysis, the formulation of EI30 is EI30 = I0.2353 H1.4544 with the minimal average time is 30 minutes and the maximal one is 60 minutes will cause the run-off and land erosion

Full article