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.

09 Oct 2020

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30 Sep 2020

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,
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.

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.

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 science,
Food engineering,
Food microbiology,
Food packaging,
Food preservation,
Food technology,
Aseptic processing,
Food fortification,
Food rheology,
Dietary supplement,
Food safety,
Food chemistry.

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.

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.

Journal ID : TRKU-28-04-2020-10711

Total View : 247

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

Journal ID : TRKU-27-04-2020-10709

Total View : 210

TThere are several variables that determine in the process of impregnation include the flow of water into the well, the value of shape factors and in situ field permeability.This research aim is to investigate the shape factor of flat base recharge wells values of the three models whose upper walls are made of concrete buis with diameters of 0.6 m, 0.8 m, and 1.0 m.The high porous wall with var iations: 0.3 m, 0.7 m and 1.0 m. The shape factor is the coefficient of dimension planning which takes into accou nt the perimeter and area of the recharge well, volume and water level. The Permeability coefficient is very important. Experiments in the field are three recharges well models in a flat base impregnation on the porous wall (L) test and well radius (R The value of permeability of soil obtained by direct drilling of the research area in Sukolilo Village, Malang Indonesia. Field permeability was obtained by using auger boring falling Head method with a soil depth of 00.0 m to 2.65 m.he result showed that shap e fa ctor simultaneously influenced the high of porous wall (F = 23.71 > F table = 5.32; P < 0.05). However, the positive correlation between the changes of shape factor and high of porous wall in flat base on the recharge wells (R2 = 0.88)