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 05
25 May 2022

Upcoming Publication

Volume - 64 , Issue 05
30 Jun 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 Interventional Pulmonology (middletown, de.)

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-23-07-2020-10927
Total View : 308

Title : Estimation of Spatial Groundwater Recharge Using Wetspass Model in Teeb Area, Missan Province, South of Iraq

Abstract :

The main objective of this study is estimation of groundwater recharge in Teeb area by using Wets pass model. Teeb area lies in northeastern of Missan Province, southern Iraq. The estimated value of groundwater recharge by simulating of Wets pass model is equal to 23% of the annual rainfall. The monthly mean groundwater recharge is equal to (7.8 MCM) with equivalent depth (4.2 mm). The most of annual groundwater recharge (97%) occurs during the wet season (winter); while the rest occurs in the summer. The spatial distribution of groundwater recharge is ranged from 0 to 15.9 mm/month. The monthly mean groundwater recharge of the study area in summer season is 0.88 mm, whereas the monthly mean recharge in winter is about 4.76 mm. The monthly mean surface runoff is 5.02 mm that is equivalent to (9.34 MCM). The average monthly value of spatial interception in the studied area is ranged from 0.01 to 4.3 mm. The mean and standard deviation for the annual spatial distribution of actual evapotranspiration are 27.9 mm and 68.8 mm, respectively. By comparing the current results with previous studies, it may be noted that the model is performing well and providing realistic results and useful raster maps

Full article
Journal ID : TRKU-23-07-2020-10925
Total View : 322

Title : Smartphone use and addiction in high school students: Does it differ by gender? A polychoric correlation analysis

Abstract :

The interest to know about the use young people are giving to their Smartphone’s, leads us to analyze if the excessive use has generated some level of addiction in them. Moreover, we seek to identify if this behavior differs in relation to gender. The participants are high-school students enrolled at a public institution in the Port of Veracruz, Mexico. The sample was non-probabilistic since it was only authorized to survey those enrolled students who agreed to participate. A total of 164 students were surveyed. The SAS-SV scale designed by Kwon, Kim, Cho and Yang (2013) was used, which is made up by questions such as age and gender, as well as ten Likert-format questions. For its application, the survey was adapted to an electronic format (Google form) and delivered to all teachers, who in turn sent it to their students. Considering that it is a scaling instrument, it was necessary to use polychoric correlations matrices for the exploratory factor analysis as well as the ANOVA analysis. The main findings show three components: physiological, dependence and distraction, which explain 68% of the total variance. In addition, there is not gender differences were found.

Full article