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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 - 66 , Issue 02
26 Jan 2025
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Upcoming Publication

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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-07-09-2020-11080
Total View : 440

Title : Sulfonated Nata De Pina as Polymer Electrolyte Membrane for Fuel Cell Application

Abstract :

The fuel cells of the electrolyte polymer membrane (PEMFC) and methanol fuel cell (DMFC) are one of the alternative energy sources of energy. This research aims to make the membrane material that environmentally friendly and inexpensive. The extract of the pineapple bark is fermented by the bacteria Acetobacter xylinum to produce nata de pina and the process of sulfonation is carried out with the help of microwaves. The Membrane is then characterized by measuring the capacity of the ion exchanger, contact angle, group analysis of functions with FTIR, degree of hercism, mechanical properties, proton conductivity, and morphological analysis with SEM. Characterization results indicate the best result of a well-sonicated membrane nata de pina is a 4-hour disulfonation membrane, with a capacity value of 3.47 mEq/g ion Exchanger, 112.05% degree of grazing 139.9. The resulting mechanical strength of the membrane increased significantly and the arrangement of cellulose fiber arrangement remained orderly

Full article
Journal ID : TRKU-07-09-2020-11079
Total View : 393

Title : PREDICTION of ELASTIC DEFLECTION in TANK WALLS USING FINITE DIFFERENCE METHOD

Abstract :

Prediction of elastic deflection in water tank wall subjected to triangular distributed liquid load using finite difference has been derived in the present study. A good agreement was found through the comparisons between the present model and the Timoshenko and Woinowsky-Krieger based on theory of plates and shells theory.  Length to depth ratio of 1, 2, 3 and 4 were taken as a parametric study. An increase of 14.5%, 37.8% and 46.3% were obtained for L/h=2, 3, and 4 compares with L/h=1

Full article
Journal ID : TRKU-07-09-2020-11078
Total View : 377

Title : Analysis of Wormhole Attack in Mobile Ad Hoc Network using NS2 Simulation

Abstract :

The recent development in wireless technology has made remarkable enhancement in productivity in the corporate and industrials sectors. However, these developments also introduced new security threats. Wormhole attack is one of the most security threats in wireless networks. An experimental investigation was conducted to explore the impact of the Wormhole attack particularly on mobile ad hoc networks. By using the AODV routing protocol, the differences between with and without attack situation is investigated by a numerical study. The results reveal that the attack gives a big impact on reduces Throughput, increase both delays, and Normalized Routing Load. The results presented here may facilitate improvements in the detection issue, prevention issue, and optimization of the network performance later

Full article
Journal ID : TRKU-06-09-2020-11076
Total View : 385

Title : Analysis and Measurement of Human Capital Based on Multi Criteria Decision- Making (MCDM) Technique

Abstract :

This paper aims to evaluate and measure human capital in commercial banks based on different criteria using multi-decision-making techniques, and rank the banks according to value (Quality of HC) to identify banks that need to develop human capital. Numerous studies have been conducted in term of intellectual capital and its effect on the firm’s performance. Wherein, this term referred to the intangible asset that consist of the components are human capital, structural capital and relational capital. The banks under investigation will be ranked using MCDM techniques, namely the integrated Analytic Hierarchy Process (AHP) and Vlsekriterijumska Optimizacija Kompromisno Resenje (VIKOR). Moreover, this study used standard deviations to ensure banks ranking which performs in order to validate the objective of this study systematically. The results indicated the integration of AHP and VIKOR in solving the problems of human capital in measuring base of multi criteria and banks ranking according to the value of human capital for each bank. In conclusion, this paper provides indications from the literature with practical evidences on the impact of human capital into a growing global body of researches on the nature, size and characteristics of intellectual capitals

Full article
Journal ID : TRKU-05-09-2020-11075
Total View : 323

Title : Recognizing System of Masked Faces in Social Distance in the New Normal Era Using the Viola-Jones Method Based on the Haar-Cascade Classifier

Abstract :

New Normal is a New order that can adapt to COVID-19. Indonesian people must maintain productivity in the midst of the COVID-19 corona virus pandemic. To realize the new normal scenario, the Indonesian Government and experts have formulated a protocol or Standard Operational Procedure (SOP) to ensure that people can return to their activities, but remain safe from COVID-19. One of the health protocols is to require people to wear masks. Several previous studies have designed a facial pattern recognition system, but to detect facial patterns using masks has not been the optimal solution. Therefore, this study has tried to design and analyze a facial pattern recognition system using masks using the Viola Jones method with the Haar Cascade Classifier. The Haar Cascade Classifier method is used to recognize facial patterns based on haar wavelets. The haar-like feature method is made easier with the cascade classifier adaboost. Meanwhile, the Viola Jones method is used for object detection methods by combining Haar Like Feature and has high accuracy and better performance than other eigen faces algorithms. The purpose of this study is to help the performance of the level of security in selecting facial patterns into a room that has complied with health protocols in the new normal era or not. From the test results with 50 face samples, the accuracy percentage is 92.3% and it takes a relatively short time to recognize faces using masks, which is an average of 15 seconds per sample tested

Full article

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