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 - 64 , Issue 05
25 May 2022

Upcoming Publication

Volume - 64 , Issue 05
30 Jun 2022

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: Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)

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. AMA, Agricultural Mechanization in Asia, Africa and Latin America Teikyo Medical Journal Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science

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-10-03-2020-10495
Total View : 131

Title : Computational Fluid Dynamic Study of Spiral Casings Applied to the Generation of Hydraulic Energy at Microscale

Abstract :

Spiral casings are a vital element in reaction turbines for hydraulic energy generation. This work analyses the behavior of many variables of spiral chambers in five families of models: Logarithmic, Fermat, Galileo, Archimedes, and Polynomial spirals. It also studies seven inlet diameters of the chamber. Each prototype was evaluated with standardized boundary conditions. Virtual models of chamber spirals were built from mathematical equations. The behavior of the fluid inside the models was evaluated using computational fluid dynamics. The simulations were performed in the module CFX of ANSYS®19.1, and a velocity profile of the dynamic behavior of the fluid inside each spiral chamber was obtained. Absolute, tangential and radial velocities of 50, 75 and 100 % of the flow area of the spiral chamber outlets were evaluated. Using a statistic study of velocity values at the outlet of the chamber calculated through CFD, the maximum average velocity and the minimum standard deviation were established. Additionally, optimal criteria for choosing the most appropriate chamber of each type were estimated. These models indicate that Archimedes spiral casings with inlet diameters of 100 and 150 mm present the best fluid-dynamic behavior

Full article
Journal ID : TRKU-10-03-2020-10491
Total View : 174

Title : Handwritten Security Modeling based on Cosine and Inner Product Method

Abstract :

Research aimed to identify the characteristics of the owner of the handwriting, so that handwriting can be recognized and able to prevent forgery of handwriting through two methods, namely the inner product and cosine. The increased use of handwriting as a means for authentication and authorization from accessing an account or specific media, it takes a technological advancement in terms of security handwriting. Both method will be compared to the level of accuracy in recognizing the characteristic and the owner of the handwriting. Steps being taken to 100 consists of digitized handwritten documents, pre-processing such as color conversion and thresholding, and gridding stage, feature extraction, and pattern recognition through the inner product and cosine. From the test results which consists of 60 training data (in database) and 40 test data through methods cosine, 9 data misidentified, 10 unknown data, and 21 data has correctly identified the owner of the handwriting, so accuracy is obtained only by 52.5%.While testing with the same data through inner methods, produced 27 recognized correctly managed data, 13 data is not in accordance with the owner's handwriting, so accuracy is obtained from the inner product method amounted to 67.5%. Overall it can be concluded from this study, the use of methods of cosines and inner product in identifying the owner of the handwriting can produce fairly good accuracy, where accuracy inner product value is still higher than the cosine

Full article