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 - 64 , Issue 05
25 May 2022

Upcoming Publication

Volume - 64 , Issue 05
30 Jun 2022

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: Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)

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 Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science

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-01-06-2020-10781
Total View : 400

Title : Simulation of the fluid-dynamic behavior of a savonius rotor using an aerodynamic blade profile

Abstract :

There are 3 main types of wind turbines, their difference lies mainly in their type of rotor, the direction of their axis, and the shape of their blades. For the vertical axis, wind turbines are the Darrieus, Giromill, and Savonius. In the present study, a simulation of a variant of the savonius rotor is made by adapting an aerodynamic profile on its blades based on the design characteristics of a NACA 6506 profile. For the execution of the same, there will be a solid modeling software, in which will generate the geometry and physical characteristics of the selected design to be used in the savonius rotor variant, after this and with the help of Computational Fluid Dynamics (CFD) simulation, the fluid-dynamic behavior is evaluated, and the coefficient of performance of the same. Results were obtained from the comparison between the behavior of the designed rotor concerning its conventional savonius shape, where its generated power, power coefficient, and reached speeds are shown, analyzing that the adaptation of an aerodynamic profile improves the behavior of the rotor as it increases wind speed

Full article
Journal ID : TRKU-31-05-2020-10780
Total View : 366

Title : IoT Routing Protocol: Survey research

Abstract :

Due to the huge number of devices that will connected in the near future within the Internet environment, this will lead to significant momentum in the data exchange over the Internet, which will reduce the speed of data transfer and reduce the speed of data processing reaching inefficient work, that leading to inability to meet the requirements of work. The future is Internet of Things (IoT), ability to incorporate intelligence devices to make use of contextual information, collecting information’s with the regards of a given situation to select appropriate path with the huge numbers of device and applications, the key idea is that rather than sending acknowledge across the network, the problem is high energy consumption, increase time delay and may cause an unbalanced load in a network. Therefore, we propose an efficient protocol that addresses these cases in order to increase the efficiency of the work to an acceptable level. In this paper, the design of the protocol based on distribute Learning, information’s of each nodes (things), these factors are exchanged among neighbors. Each node allows sharing their information’s with rounding neighbors to achieve additional information about the adapting routing in the network and each node such as a system that can use local information gathered from neighbors. This proposal based on three basic principles: Energy consumption, time delay and load balancing

Full article