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-29-04-2020-10712
Total View : 257

Title : Sabo Dam Infrastructure System Performance Index Model in Mount Merapi

Abstract :

The volcanic area is blessed with a lot of resources and cursed with eruptive disaster at the same time. Fertile land, deep forest, mining deposit, and water reserve are examples of the potential within a volcanic environment. The more productive activity is taking place, the more it risks damaged by a disaster. In 2010, Merapi, an energetic volcano in Java – Indonesia, erupted on a massive scale equal to one event in one hundred and seventy years. It was estimated up to 140 million m3 lahars produced, overwhelming installed sabo dams with only 20 million m3 in capacity. It damaged these sabo dams severely. Meanwhile, damaged sabo dams urgently needs to be either rehabilitated or reconstructed to set preparation against the next incoming eruption. This paper would focus on the estimation of functional performance given by the sabo dam at present actual condition. The aim is to create modelling framework base on structural equation modelling (SEM). It adopts water resources principles, recent developed model, regulations and factors that influencing this purpose. All governing factors are grouped into three major classifications, i.e. physical aspect, regulative aspect and social aspect. Output will be governing aspects proportion of weight in assessing actual performance. The model will be useful to value sabo dam conditions in the framework of rehabilitation and reconstruction planning where a limited budget is present

Full article
Journal ID : TRKU-28-04-2020-10711
Total View : 247

Title : Model of Alfa Parameter Development at Nakayasu Synthetic Unit Hydrograph Based on the Watershed Physical Characteristic in Some Parts Watershed of Java Island

Abstract :

Nakayasu synthetic unit hydrograph is one method that is widely used in the analysis of design flood discharge in Indonesia. The Nakayasu synthetic unit hydrograph method requires relatively little data and the results still need to be tested in order to fit the reality. Following the various studies related to α parameter that have been carried out, these parameters are still not optimal and only valid in certain locations, so the formulation is needed to determine the value of α parameter which is adjusted to the physical watershed characteristics in Java. This research aims to develop a model α parameter that is related to the characteristics of the watershed in Java. The physical parameters of the watershed are shape factor (E), watershed slope (S), the distance from the outlet to a point on the stream nearest the centroid of the watershed area (T), watershed length (I), perimeter (W) and watershed area (A). The α parameter developed is generated from statistical analysis for several watershed characteristic variables that have a significant effect. The results of the model development α parameter are with R2 = 0.8768 and R = 0.9364

Full article

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