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.

Submission Deadline

Volume - 62 , Issue 06
18 Jul 2020
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Upcoming Publication

Volume - 62 , Issue 06
31 Jul 2020

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.

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-09-06-2020-10795
Total View : 243

Title : Adaptive Routing Protocol RPL in IOT Networks based on Content Centric

Abstract :

Internet Engineering Task Force in March 2012 approved the routing protocol of IPv6 for lossy and low power networks (RPL) as the normal routing protocol for the Internet of Things (IoT). From then, it was utilized in various IoT applications. Although RPL significantly meets the IoT network needs, some open challenges still exist as it was not primarily planned for IoT applications. Though, collecting a huge deal of data from these networks with videos and images often result in traffic congestion within the central network area. For solving this problem, our study suggests the content-centric routing CCR-based RPL, in which the content determines the routing pathways. A larger ratio of data aggregation can be attained through routing the related data to the middle relaying nodes for processing, therefore, the traffic is effectively produced within the network. Consequently, a significant reduction in latency can be obtained. Furthermore, the energy use is predominantly reduced on wireless communication thus preserving the restricted battery. Further integration was performed between CCR and the IETF RPL protocol and applied within the MATLAB platform. Ultimately, both implementation and simulation results demonstrate the greater behavior of CCR-based RPL based on the high packet transferring rates and decrease the numbers of dead nodes, low delay rates, and high energy efficiency in transferring

Full article
Journal ID : TRKU-08-06-2020-10794
Total View : 324

Title : Analysis and comparison of resource allocation solutions in D2D communications to increase the efficiency network resources and limited network coverage

Abstract :

Currently, Device-to-Device communications (D2D) communication plays an important role in communication, as it increases the efficiency of the use of network resources. This allows the devices to communicate directly with each other, without using the transmission nodes. It is also one of the solutions to the problem of limited network coverage, which can be extended with D2D, and therefore costs and energy can be reduced. This article compares various resource allocation solutions - one of the three main D2D communication problems (D2D detection, connection mode selection and resource allocation). There are two operating modes: the controlled mode (supported by the base station eNodeB) and the autonomous mode

Full article

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