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-20-10-2020-11259
Total View : 366

Title : Tidal Head Early Warning System Using LoRa

Abstract :

The surge of water flow (SWF) in a river is a dangerous phenomenon that occurs along the water stream. SWF can create an even more dangerous situation called tidal head (TH). High rainfall rates cause river water levels to rise, with high currents leading to TH. Heavy downpour at the upstream creates sudden increase in river water and brings along silts, rocks, branches, and logs, where it rams everything in its path as water travels downstream. In tropical countries, rivers are one of the most popular recreational spots. Tourists engaged in activities such as swimming are unaware of the presence of TH, and they have no time to evacuate. This situation can cause injuries and even fatality. One of the ways to prevent the catastrophic effects of TH is to detect it early. Hence, a TH warning system based on LoRa network technology is developed to prevent accidents or death risks. The system is designed to provide early warning to tourists and the safety personnel monitoring the river and the waterfall. The warning comes in the form of a physical siren and an alert notification via a website accessible through a computer or smartphone. The system prototype consists of LoRa module that remotely transmits warning data with the help of Arduino and water sensors. The prototype is designed to monitor part of the river where the sensors are mounted to the distance where the siren can be heard, and a web application is monitored by the safety personnel or forest wardens to alert the tourists about the occurrence of a TH.

Full article
Journal ID : TRKU-19-10-2020-11258
Total View : 462

Title : A Hybrid Model of Ant-Lion Optimization with Cuttlefish Algorithm for Software Effort Estimation

Abstract :

The important role in project management is to estimate the software effort. Inaccurate results may cause to over or under in estimating effort, which can have afflictive outcome on the resources of project. The Constructive Cost Model (COCOMO II) is one of the most mathematical models widely and known for estimating software effort which is influenced by two parameters. To estimate these parameters, there are many techniques used for this purpose. The optimized model produces optimal parameters to estimate the software effort. In this paper, a hybrid model of ant-lion optimization algorithm and cuttlefish algorithm (HALOCF) have been proposed for optimizing two parameters of COCOMO II to solve the parameters estimation problem. The proposed model is performed using two sets of data: NASA 93 and NASA 60 datasets to verify the accuracy of it and evaluated by using Magnitude of Relative Error (MMRE). The results showed that the effort estimation MMRE for the proposed model is more effective than COCOMO II and many other technologies

Full article