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 01
20 Jan 2024

Upcoming Publication

Volume - 66 , Issue 01
31 Jan 2024

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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology Research Journal of Chemistry and Environment

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-08-03-2020-10478
Total View : 178

Title : Development Appraisal Rural Participatory Tool To Analyze Ethnobotany Of Gandaria (Bouea Macrophylla, Griffith) In Plant Production Centers In Ambon Island Communities

Abstract :

Gandaria (Bouea macrophylla, Griffith) is a tropical Maluku fruit that is generally found on Ambon and Saparua Islands. Gandaria is one of the plants that are appealing to the Maluku community on Ambon Island, because in general the community not only consumes gandaria fruit but the stems and roots of the gandaria plant are also utilized in people's lives. The system of utilization of plants by local communities which in their application is beneficial to people's lives is referred to as ethnobotany. This ethnobotany research aims to see the extent of the use of gandaria plants in the lives of Maluku people on Ambon Island. In this research the development Participatory Rural Appraisal tools, which involves the active role of the community in research wherein, community involvement is obtained through interviews. From the results of the study it was found that 100% of the people in each sub-district used the gandaria plants as food, 89.1% were used as economic producers, 72.2% as firewood, and 29.1% as handicrafts. Based on the percentage of utilization, it can be indicated that the gandaria plant is one of the plants that are in demand by the local community on Ambon Island

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Journal ID : TRKU-07-03-2020-9694
Total View : 142

Title : Classification of EEG signal of Motor Imagery using Different Methods

Abstract :

The procedure of electroencephalography (EEG) is a famous process in neuroscience that is utilized for extracting the activity of brain signals related to voluntary and involuntary actions. The systems of BCI are capable of making the persons control any external device remotely utilizing the signals of the brain with no neurophysical interference. Many techniques used for isolating noise from EEG signals like filters and blind source separation. The main problem is Artifacts (noise) such as Electrocardiography (ECG), electromyography (EMG), electrooculography (EOG) and power line (LN). Added to   EEG signals and affect the performance of the system. Separating these signals into individual components to delete the artifacts is complicated. In this paper on the combination between stone-blind source separation and bandpass filter has been implemented bandpass filter was used and an algorithm based on a stone-blind source separation algorithm is presented for extracting the features from EEG based recorded brain signals. These features are extracted for Motor imagery; the function is the index finger motions to left or right. The proposed system also verified based on two Classifiers. The obtained results the precision rate were (77% by Hoeffding Tree Classifier) while the precision rate was (58% by Random forest)

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