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 01
20 Jan 2024

Upcoming Publication

Volume - 66 , Issue 01
31 Jan 2024

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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology Research Journal of Chemistry and Environment

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-20-03-2020-10564
Total View : 200

Title : Performance Comparison of the Deep Segmentation Methods on License Plate Detection

Abstract :

Automatic License Plate Detection and Recognition (ALPD-R) is used in traffic, security and parking management systems. In this paper, deep semantic segmentation methods are used for license plate detection. Three different deep segmentation methods are considered in license plate segmentation. They are SegNet, Fully Convolutional Network (FCN) and Densely-Connected and Concatenated-Multi-Encoder-Decoder (DCCMED) network. These models are further trained on the same training data set and tested accordingly. Visual and numeric evaluations are used to validate the performance of the proposed work. Recall, precision and F-measure values are calculated. According to the obtained results, FCN outperforms the recall, precision and F-measure values are 0.6410, 0.9043 and 0.7491, respectively. The DCCMED produces the second best evaluation scores where obtained scores are 0.4955, 0.9188 and 0.6493. Finally, the worse segmentation scores are produced by SegNet architecture. Its achievements are 0.4916, 0.7704 and 0.5913, respectively. Hence, the DCCMED’s precision value is higher than the SegNet’s and FCN’s precision value

Full article
Journal ID : TRKU-20-03-2020-10563
Total View : 180


Abstract :

Excel actually becomes influential once you start using functions, which are mathematical formulas that assistance you rapidly and effortlessly make calculations that would be difficult to do by hand. Functions can do various things to speed up your calculations. Excel doesn’t have a default function that displays numbers as English, Kurdish or Arabic words in a worksheet, but you can add this capability by pasting the WrittenNumber function code into a VBA (Visual Basic for Applications) module. This function lets you convert numbers to words with a formula, so (22.50) would read as Twenty-Two Point Fifty. This can be very useful if you're using Excel as a template to print Student's marks/degrees. This study covers example Microsoft Visual Basic for Applications functions that you be able to usage to convert a numeric value in a MS-Excel Spreadsheet cell into its equal value in English, Kurdish or Arabic words. When you want to convert numbers in English, Kurdish or Arabic words; select a WrittenNumberEn, WrittenNumberKr, or WrittenNumberAr Function. It was expected that there would be many end-user program writers in various dissimilar fields like accounting, insurance and banking, and the numbers are not estimated to have diminished later. Therefore, technical improvements of spreadsheets are of unlimited attention to a varied number of persons from diverse experiences

Full article