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

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-11-05-2020-10740
Total View : 245

Title : Comprehensive Modelling of an Optimized Energy Management System for Photovoltaic Standalone Building

Abstract :

photovoltaic standalone buildings are suffering from energy volatility which mainly caused by weather conditions, for that, it is important to adopt a smart energy management system that able to manage the loads according to the available energy. Add for that the inverter overcurrent fault, which is mainly caused by the loads’ reactive power in a well-designed system. Power factor degrades leads to a decrease in the system’s efficiency and depriving it of the use of all available energy. The proposed system in this article offers a complete solution to manage the consumed energy according to the loads' priorities, available energy, user requirements, and the weather conditions for the day and two days ahead, as well as correct the power factor automatically by reducing the apparent power as well as the total current of the invertor. The presented system adopts an ESP32 microcontroller to monitor and control the loads remotely besides correcting the power factor by adding a capacitive load from capacitors bank and as required. AC power sensors PZEM-004T v3 had been used to monitoring the load's properties include voltage, current, active power, and power factor in the load branches and on the mainline. Results show a promising system that not only managed the consumed energy wisely but also improve the building power factor by 0.9

Full article
Journal ID : TRKU-11-05-2020-10739
Total View : 226

Title : HRM System using Cloud Computing for Small and Medium Enterprises (SMEs)

Abstract :

In order for an enterprise to get the best out of its employees and gain a high return of its investment, the Human Resources (HR) should be well managed. To have a good relationship at Small and Medium Enterprises (SMEs) and to have better practices, using Human Resource Management (HRM) is the option to have them thereby enhancing individual/organizational effectiveness. However, enterprise data are increasing enormously, therefore flexibility, scalability, cost of money, and efficiency are crucial challenges faced by SMEs. Another problem is the separated locations of HRs that result in a communication gap thus slow decision-making, inefficiency in data processing, and inability in reacting to the environmental challenges instantly. To fulfill the above-stated issues, it is a good idea to utilize cloud computing services to handle the massive data in order to improve HRM where the data stored at a central location (i.e. cloud). Therefore, this paper focuses on some cloud-based HRM within SMEs and explores the advantages and challenges of adopting such emerged technology. As a result of this aggregated study, it is clear that cloud adoption improves the HRM, allows the SMEs to expand, manage HRs in a flexible way, provides easy decision-making for the managers, and increases the productivity of the enterprise. The study also showed that one of the most important advantages of cloud adoption for SMEs is reduced cost while the most crucial barrier is security

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