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

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-15-04-2020-10689
Total View : 202

Title : Aircraft Actuator Motor Condition Monitoring Using Artificial Intelligent Technique

Abstract :

Aircraft flight control system tends to use Electromechanical actuators (EMAs), so the condition monitoring of aircraft actuators become more important under varying environmental and operational conditionIn. This paper introduces a new approach to monitoring surface roughness for aircraft actuators. The proposed technique starts with current and vibration signal as fault indicator. Them to extract the useful features discrete wavelet transform (DWT) was implemented. To overcome lamentations related with redundancy features that effect on diagnostic accuracy and time taken for Classification orthogonal Fuzzy neighborhood preserving analysis with QR decomposition (FNPA-QR) which is used first time for electrical motor condition motoring. In real time under variable and constant working. Time Delay Neural Network (TDNN) was presented to classify faults and predict their severity. The results achieved from simulation prove the ability of the present method in successfully diagnosis the various type of faults

Full article
Journal ID : TRKU-15-04-2020-10688
Total View : 203

Title : Technical Dependencies in Software Engineering Projects: A Systematic Literature Review

Abstract :

These days, developing software is rarely an individual effort, and customarily involves groups of developers working together to produce excellent reliable code. This synergy is due to the variety of technical dependencies that developers must confront while developing software. Technical dependencies are correlations and interactions among artefacts and teams throughout software development. To comprehend the implications of code change and coordination required, the technical dependencies in software engineering projects must be identified. This study synthesizes types of technical dependencies in software engineering projects based on prior research (2000-2019) and provides an understanding of how the identified technical dependencies can impact coordination. We conducted a systematic literature review to identify the types of technical dependencies in software engineering projects. A total of 55 studies published from January 2000 to December 2019 discussed the technical dependencies and addressed issues with technical dependencies that impact the coordination of software engineering projects. We found ten types of technical dependencies in software engineering projects in this study. We observed that technical dependencies tend to increase the complexity of a project, decrease productivity, and increase the integration issues. The results suggest that the developers must be aware of particular types of technical dependencies in software engineering projects, and they need to coordinate effectively among team members

Full article