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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 - 66 , Issue 02
26 Jan 2025
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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-26-10-2020-11287
Total View : 431

Title : Performance Analysis of String Searching Algorithm for Optimizing the Signature Based File Carving

Abstract :

File carving is a technique to extract data from digital evidence and the signature-based approach searches data for patterns of file signature. As a response to demands of employing a high-performance string searching algorithm, the baseline algorithm, namely Boyer-Moore algorithm, is being widely used since proposed. However, there are more algorithms which are better than it, being continually proposed. Therefore, this paper aims to identify the best string searching algorithm that can be used for optimizing the signature-based file carving in term of time and memory usage. Therefore, a performance analysis against the baseline algorithm and its variations are performed. The findings indicate that the Shift-Or (SO) algorithm can be used as string searching algorithm in signature-based file carving due to its faster completion time and lower memory consumption. For future work, SO algorithm will be integrated with the file carving tools to test the capability of reducing the carving duration and memory usage while maintaining the similar carving accuracy.

Full article
Journal ID : TRKU-26-10-2020-11286
Total View : 440

Title : Applying Grey Relational Analysis to optimize machining parameters during PMEDM process of hardened 90CrSi steels

Abstract :

Multi-objective optimization of EDM machining process of hardened 90CrSi steel will be presented in this study. The input parameters including Concentration of powder, Pulse on time, Pulse off time, Current, and Voltage are chosen to minimize the electrode wear rate and maximize material removal rate. Grey Relational Analysis (GRA) is combined with Taguchi method to find the optimal set of machining parameters which can satisfy the responses. It is found that Current has the strongest influence (24.89%), but Volgage has the smallest effects (1.63%) on the responses. The proposed model corfirmed by experiment and ANOVA exhibits the reability approch to predict electrode wear rate and material removal rate.

Full article
Journal ID : TRKU-26-10-2020-11285
Total View : 410

Title : Dynamic Model of Human Lower Limb Applied to a Step Machine Workout

Abstract :

This paper presents a two-dimensional dynamic analysis for a human leg, a model was developed using a Lagrangian approach to describe the body-leg interaction. This model could be useful analyzing the human gait for people with disabilities in a lower limb, and also helps to design and improve therapy procedures. The aim of this research is restricted to a specific scenario: working out with a step machine-common machine usually found in fitness centers. The movement of raising and lowering the leg was modeled, which is the most relevant motion in this activity. In the process were identified the different anthropometric parameters for the human body in relation with the weight and height of a specific individual. A set of partial differential equations relate the force generated in the foot with three variables: The angle between the thigh and the vertical, its variation with respect to time (angular velocity) and the angular acceleration. The results showed that the dynamic condition increases the reaction forces about 16% in this activity. The developed sequence of analysis could be used for optimization processes based on anthropometric and movement conditions. These results are useful for detailed designs of prosthesis and also to find the best economical options for manufacturing aid devices that meet the dynamic requirements. The mathematical formulation process confirms the advantages of the Lagrangian over Newtonian approach for these types of systems.

Full article
Journal ID : TRKU-26-10-2020-11284
Total View : 443

Title : Promoting city performance depending upon the creative city strategies / Sulaimaneyah city as a case study.

Abstract :

through the holistic visionary plan 2030, Sulaimaneyah is aiming for a future knowledge and economic creative based development. It is taking one main pillar in the country vision strategy to build a well-established human force that will sustain the city and country growth. Sulaimaneyah City is assigned to be a cultural and creative hub that attracts creative workers from around the globe and establish its local creative human capital.  In that regard, one can raise two essential questions: the first is this vision enough to start the creative culture economy and reduce its dependency on the oil-based economy to accelerate the creative city growth? The second; or do we need to adjust our city planning to flourish and support Sulaimaneyah creative cultural aspect? The study responds to these questions through running a qualitative and quantitative   study of the creative cultural state of Sulaimaneyah creative city planning direction.

           

Full article
Journal ID : TRKU-26-10-2020-11283
Total View : 412

Title : Time Series Forecasting the Quantity of Municipal Solid Waste Generation Using Linear Regression Integrated with Moving Average in Mekelle City - Ethiopia

Abstract :

In highly populated areas like urban areas municipal solid waste (MSW) increases from time to time and it becomes serious issue recently. So it very important to make prediction of the wastes for designing and preparing enough land fill or any other mechanism used to store wastes, to hire enough man power and management system and preparing materials necessary etc. which are used to control the municipal solid waste. In this study Moving Average and linear regression method was used to forecast the municipal solid waste of mekelle city. Thus, the obtained equation used to forecast was, Y=0.757808*X+4.29 equation found used to forecast the proposed wastes. The Mean Average Percentage Error (MAPE), Root Mean Square Error (RMSE) was used as performance indicators for comparison between predicted and actual data Thus the result of the indicators showed acceptable error (very small error) and this indicated their good agreement between predicted and actual data.

Full article

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