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 - 63 , Issue 05
10 May 2021
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Upcoming Publication

Volume - 63 , Issue 05
31 May 2021

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. AMA, Agricultural Mechanization in Asia, Africa and Latin America Teikyo Medical Journal Journal of the Mine Ventilation Society of South Africa Dokkyo Journal of Medical Sciences

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-07-08-2020-10977
Total View : 344

Title : Device for Sorting Tomato (Lycpersicum Esculentum) Using Microcomputer

Abstract :

Identification of maturity of tomatoes in general is still mostly done manually by farmers. Manual way is done based on visual observation directly on the fruit to be classified. The development of information technology enables the manufacture of sorting tools by identifying the level of maturity of tomatoes which is very useful for farmers. From 5 times the test with different tomato obtained tomato average data taken on serial communication and digital scales, the system has accuracy 99.84%. The servo motor pusher tomato testing the best movement of Servo Motor is known from the actual angle in coding (90 °) with servo motion angle motion (92.12 °) obtained error of 0.97%. The accuracy on the fall of the tomato from the conveyor is 76,67%, the test scenario is done by measuring the tomato falls on the Switcher at the corners of Grade A, B, and C

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Journal ID : TRKU-07-08-2020-10976
Total View : 433

Title : Design and Implementation System Sorting Tomato (Lycopersicum Esculentum) With Learning Vector Quantization

Abstract :

Tomato is a fruit that is consumed every day by the Indonesia population Identification of maturity of tomatoes in general is still mostly done manually by farmers. The development of information technology enables the identification of fruit maturity level based on ciitra with the help of computer. This computational way is done by using the camera as an image processor of the recorded image (image processing). The tomato fruit is identified based on the image HSV input obtained from the capture result, after obtaining the HSV for its quality detection. From several samples of grayscale data pattern of tomato fruit with different quality levels obtained by several groups of maturity level, some of the maturity level will be clarified with Learning Vector Quantization algorithm with HSV data is processed into HSV data and classified by this algorithm to get maturity level and accurate quality. This system has accuracy 76.67%

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