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 09
09 Oct 2020

Upcoming Publication

Volume - 62 , Issue 08
30 Sep 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-28-06-2020-10833
Total View : 351

Title : Dimension Reduction Using Core and Reduct to Improve Fuzzy C-Means Clustering Performance

Abstract :

Large-volume data is very difficult to find hidden patterns in the data. The complexity and computational time for analyzing large volumes of data to obtain important information are very dependent on the number of data and variables in a dataset. Big data intersects with incomplete data. This study aims to develop a method of data clustering that is sensitive to missing values in big data that is fast and efficient. This research develops data clustering using fuzzy c-means clustering methods. This method can accommodate the incompleteness of data by calculating the datum expertise in the dataset. Dimension reduction is applied to reduce dimensions in a data set while maintaining important information in the dataset. Core and Reduct which is one of the concepts in the rough set theory was chosen to reduce and leave only the core of a dataset. Core and Reduct are applied to look for core data patterns and select important variables in the data. The results showed that the application of Core and Reduct in the Fuzzy C-Means clustering could shorten the computational time and reduce the value of objective functions until the remaining 43.49%. At the same time, the quality of the clusters produced can be better with relatively unchanged purity and far better accuracy. The combined advantage of this method is that it has a better performance compared to the standard fuzzy c-means clustering

Full article
Journal ID : TRKU-26-06-2020-10832
Total View : 319

Title : Simulations of the Effect of Simultaneously Working Surface Drippers on Root Water Uptake of a Tomato Crop in Chlef Algeria

Abstract :

Enhancing the wet structure of the root zone under drip irrigation is one of the objectives of the irrigation designers and researchers. Improved operating standards such as application rate enable us to realize the full potential of drip irrigation technology. In this study, we applied two approaches to improve the wetting pattern; an experimental approach and a simulation approach. For simulation, we used HYDRUS 2D/3D model to simulate the application of four discharge rates. We performed our experiments in an open field at Chlef, Algeria with tomatoes cultivated. The objectives of this research work were to validate HYDRUS 2D/3D model, and to evaluate the application rate effect on soil moisture distribution, root water uptake and crop yield of tomato plant. Based on the measured data, the infiltration process and root absorption caused by the applied irrigation water under different parameters were analyzed and simulated using the HYDRUS 2D/3D model. We found satisfactory agreement between the simulated and experimental approaches. These results demonstrate the reliability of HYDRUS 2D/3D in the simulation of volumetric water content values (VWC) compared to those measured in the field. Additionally, the results indicate that under a discharge of 3 L.h-1 with 3 days’ frequency gives uniform moisture in the profile of the root zone. This strategy was tested in a field experiment on tomato cultivation and has been shown to have a significant effect on root extraction and crop yield

Full article