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.

Google Scholar

Submission Deadline

Volume - 63 , Issue 05
10 May 2021
Day
Hour
Min
Sec

Upcoming Publication

Volume - 63 , Issue 04
30 Apr 2021

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. AMA, Agricultural Mechanization in Asia, Africa and Latin America Teikyo Medical Journal Journal of the Mine Ventilation Society of South Africa Dokkyo Journal of Medical Sciences

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-25-11-2020-11337
Total View : 484

Title : Architectural Analysis of Advertisement and Guide Signs in Urban Areas: Karbala Case Study

Abstract :

Iraqi cities, especially the holy city of Karbala, suffer from visual pollution caused by various distortions and violations resulting from individuals’ and organizations’ unawareness of beauty standards, which creates an imbalance between various city elements and the overall urban context. This chaos supports the establishment and imposition of scientific standards that can be used to develop a reintegration process for these distorted city elements to restore city aesthetics. In this research, advertisements and commercial signs were studied as one of the urban visual elements that contribute to the distortion of the city’s visual landscape. This research thus examines the possibility of creating an evaluation tool to quantify the distortion of the current visual scene of the city, in order to use these results to achieve a more balanced urban display. Furthermore, the research aimed to identify which regulations could control the operation and the physical proportions of advertisement signs on buildings, a measure predicted to help improve users’ awareness of the effects of using these signs and to thus restore the aesthetic visual image of these urban areas. Finally, this research reviews the aesthetic standards used in similar successful international experiences to help with the creation and adoption of new organisational standards to help restore balance to these distorted cities.

Full article
Journal ID : TRKU-24-11-2020-11335
Total View : 423

Title : A New Density-Based Method for Clustering Data Stream Using Genetic Algorithm

Abstract :

Density-based methods have appeared as a practical approach for the clustering of data streams. While various density-based algorithms have recently been developed for data stream clustering, these algorithms are not without problems. The efficiency of the clustering is considerably reduced when an insufficient distance function is used. In addition, the majority of the approaches is their non-autonomous nature, which means they need manual tuning of their internal parameters. Unfortunately, the tuning process requires considerable effort and parameter results might become invalid after a certain time due to statistical changes in data or concept drift characteristics. In this study, we propose a new Density-based method for Clustering Data stream using Genetic Algorithm (DCDGA). This method using a Genetic Algorithm (GA) to adjust suitable parameters for the cluster radius and minimum density threshold to cover the density clusters more accurately. A Chebychev distance function is also introduced to calculate the distance between the Core Micro-Clusters (CMCs) center and the arriving data point. The proposed method was evaluated using an artificial and real dataset with different evaluation metrics. The experimental results were compared with another online density-based clustering. The recommended method provides an effective solution for improving the quality of clusters.

Full article

Certificates