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
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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-09-08-2020-10981
Total View : 325

Title : Systematic Review of Intellectual Capital and Firm Performance

Abstract :

This study reviews the empirical literature of intellectual capital and firm performance. It increases the current understanding by classifying the previous studies within a taxonomy in order to highlight critical issues regarding the research topic. The current investigation aims to provide an up-to-the-minute literature review of intellectual capital to; identify the major themes developed within this research stream; investigate the research directions and highlight the challenges, recommendation and derive insights to guide future research agendas for the benefit of researchers and intellectual capital  users. The systematic reviewing procedures followed PRESMA protocol, wherein the time limits between 2014 and 2019. The research identified that primary challenge encountered by all researchers was measuring intellectual capitals. The complexity of the relationships between the elements of intellectual capital as each element consists of sub-element and each element of intellectual capital has different level of importance over the other elements. Besides, the aggregation of the intellectual capital component affects the accuracy of measurement. Therefore, the investigation concluded in the best method of evaluation and measuring intellectual capital is measuring each element alone based on real data extracted from the firm. However, some studies indicated that human capital is the most important intellectual capital component and companies could gain competitive advantage by incorporating great human capabilities, talents, and creativity since great human talents can make the difference

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Journal ID : TRKU-08-08-2020-10978
Total View : 400

Title : Water Demand Estimation in Urban Areas Based on Population Forecasting Using GIS Analysis Modeling

Abstract :

The current study relied on the adequacy of drinking water in the city of Sulaimani, and for the purpose of knowing the adequacy of the amount of water produced from projects that feed the city, the actual production amount of these projects is divided by the estimated population of the years 2010-2032 in light of the approved standard for the current year and then compared with water demand in the mentioned period by applying some of statistical analysis techniques for infrastructure projects management . The management of infrastructure in general and water distribution in specific is one of the most important challenges faced by the cities of the developing world, because of the delay in many service and development areas and it becomes more difficult when it comes to a city such as the city of Sulaimani in Kurdistan region of Iraq, which suffered for many years from suppress of political and economic bad conditions. Hence the research as a case study in the management of water demand by using GIS and Satellite remote sensing techniques. The research aims to identify how to manage the water distribution networks in some of urban areas of Sulaimani city to help decision makers reach less costly and timely solutions through the collection, storage, editing, analysis and managing of geodatabase, with focusing on mixed methods analysis of water distribution and demand for problem solving through spatial and statistical analysis. ArcGIS and other database software have been proposed as a means of building database on the systems and networks used to provide more accessible water demand estimation

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