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

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-21-03-2020-10567
Total View : 182

Title : Micro-Climate and the Use of Kampong-Kota Communal Space

Abstract :

Communal outdoor space functions as a social space, especially in dense urban housing, such as in a city. The microclimate represents local climatic conditions consisting of temperature, humidity, wind and solar radiation. Many previous studies have looked at the relationships and effects of microclimate that have an impact on the intensity and behavior of outdoor space use. Unfortunately, this research has never been carried out in a dense communal space such as a urban informal settlement. Because there are people who tolerate and end up enjoying feelings of warmth and heat, depending on expectations and thermal experiences in the past. The objective of this study was to assess how much the influence of microclimate elements on the space use is related to preferences on microclimate and spatial use activities. A case study was conducted in a communal space in the informal settlement of Petamburan, Jakarta. The Field Survey included a structured interview with standardized questionnaire and observation of activities in the communal space, along with daytime microclimate monitoring. Data analyzed with PLS (Partial Least Squares) program to obtain the first model showing the measurement model and the second model which was a structural model that shows the estimated power of the equation model among the measured latent/construct variables. The analysis showed that a person's behavior in the form of the arrival rate (frequency) in using their communal space cannot only be evaluated from the conditions of the microclimate in the form of wind but need to be seen first from their preferences (hot and humid) on the microclimate. These results will serve as guidelines for architects and urban designers in describing conditions and possible further developments to improve microclimate conditions based on the physical design of urban space

Full article
Journal ID : TRKU-21-03-2020-10566
Total View : 165

Title : A Comparison of Spatial Interpolation Methods to Estimate Coal Thickness and Quality Based on The Value of Root Mean Square Error (RMSE)

Abstract :

Exploration is one of the activities of the mining process which aims to obtain information about the geological conditions of a deposit that is below the surface of the land. Exploration activities have risks and require a large cost. Therefore, a more accurate estimation method is needed in determining the value of areas that are not sampled in exploration based on the surrounding data. In coal deposits, there are two main output parameters which are coal thickness and quality. In this study, the coal quality parameters used are calorific and sulfur values. In this study, we will compare the Kriging method with Inverse Distance Weighting, in estimating coal thickness and quality. The aim is to find out the most accurate estimation of coal thickness and quality between the Kriging and IDW methods based on the Root Mean Square Error (RMSE) value. The method of testing the estimation results is cross validation. The choice of the variogram model is based on the lowest RMSE value. The research method used is a quantitative method. Coal exploration data in the form of bar data were analyzed with descriptive statistics with Minitab 17 software and continued with geostatistical analysis using GS + software. From the results of the calculation of the two estimation methods, it was found that the kriging method was more accurate than the IDW method based on the lower RMSE Kriging value on the thickness data, calorific value and coal sulfur worth 1,622 m, 71,504 Kcal / Kg, and 0.140% compared to the IDW method RMSE on coal thickness, calorific value, and sulfur data are 1,704 m, 74,731 Kcal / Kg, and 0.142%

Full article