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 06
18 Jul 2020
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Upcoming Publication

Volume - 62 , Issue 06
31 Jul 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-07-04-2020-10655
Total View : 196

Title : The use of antiretroviral therapy (ARV) in HIV/AIDS patients

Abstract :

National HIV patient participation in receiving antiretroviral (ARV) therapy is 33%. HIV patients undergoing ARV therapy complain of the emergence of therapeutic toxicity. The purpose of this study was to determine the immunodeficiency stage (CD4 cell count) and degree of toxicity (hematological and clinical chemistry values). This type of research is descriptive research. Data collection was carried out using the cross-sectional method. Data collection involved 32 HIV patients who received ARV therapy services in KRT Setjonegoro Regional Hospital. The study subjects were determined non-randomly with the criteria: having undergone controlled therapy >6 months and aged ≥15 years. The exclusion criteria for this study were patients referred out of care during the study. This research activity has received approval (ethical clearance) Research Ethics Commission of the Faculty of Medicine, Gajah Mada University. The results of this study for the characteristics of patients as many as 19 people (59.40%) are male and 13 people (40.60%) are female. Age of HIV patients 18-44 years as many as 29 people (90.60%) and 45-59 years as many as 3 people (9.40%). Education of elementary school patients as many as 13 people (40.60%), secondary schools 14 people (43.80%) and colleges 5 people (15.60%). Clinical stage of the patient, stadium 1 were 14 people (43.80%), stage 2 were 4 people (12.50%), stage 3 were 2 people (37.50%) and stage 4 were 2 people (6.30%). The efficacy of patients with CD4 parameters showed 17 patients (53.00%) patients did not experience immunodeficiency and mild toxicity experienced by 2 patients (6.30%) HIV who received antiretroviral therapy

Full article
Journal ID : TRKU-07-04-2020-10654
Total View : 245

Title : Taxonomic structure identification of 4th grade elementary student’s electronic text book published in 2014 and 2017

Abstract :

This research aimed to identify, to compare, and to analyse the correlation of the taxonomic structure of 4th grade elementary student’s electronic textbooks which referred to the 2013 curriculum. The object of this research was the text books published in 2014 and 2017, focusing on the test section. Taxonomic identification was carried out based on Bloom taxonomy, including six levels of operational words, such as remembering (C1), understanding (C2), application (C3), analysis (C4), evaluation (C5), and creation (C6). Identification was carried out for all taxonomic groups. Data analysis was carried out descriptively. Comparison between text books was analysed statistically using chi-square test, while correlation analysis was carried out by Pearson’s correlation. The result showed that the 2014 text book had more question items than the 2017 text book with 1061 items and 688 items respectively. There were total of 3260 and 1756 taxonomic content respectively, resulting in average number of 3.1 and 2.6 taxonomic items in each question. Both text books showed similar trend in numbers of taxonomic items as the increase of taxonomic levels. Statistical data analysis showed that there was significant difference of taxonomic structure between the 2014 and 2017 text books. Significant differences were obtained from the C1 and C3 levels, whereas the proportion of C1 in the 2017 text book was significantly lower while the proportion of C3 was significantly higher. However, correlation analysis showed that the taxonomic structure of both text books was strongly correlated

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