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.
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:
In sand blasting systems, the cleaning cost plays an essential role and greatly relies on many parameters e.g., nozzle diameter, nozzle lifetime, cleaning rate, etc. This study presents the procedure to compute the cleaning cost based on the price of cleaning system, price of abrasive, and price of nozzle when sand blasting with silicon carbide nozzles. The exchanged diameter of the nozzle was figured out by minimization technique of the cleaning cost function. Furthermore, using the experimental design method, the behaviors of seven input variables to the optimal exchanged diameter of the nozzle were examined. Using Minitab@19 for the experimental design was also proposed. The results illustrate that the input variables not only have on the optimal exchanged diameter of the nozzle, but also the interactions of these variables importantly affect the output variable. In addition, the mathematic equation was established in order to predict the optimum replaced diameter of the nozzle. This is greatly meaningful for sand blasting process due to decrease the cleaning cost.
Graphs have quickly become dominant life-form of tasks in a society with human actors as nodes. Actors’ ties bind them to each other – forming a social graph that can be analyzed. The actor’s (nodal) feats via interaction, impacts on the entire graph as a global structure. These feats evolves the graph, orchestrating a convergence pattern to predict the expected number that adopt/reject an innovation as its outcome. The advent of the fast-paced contagion (corona-virus) covid-19 via the socio-economic strata of Nigeria, has outcome an adverse malignant effect that is today, difficult to treat. Study models covid-19 pandemic via a susceptible-infect-remove actor-based graph, with covid-19 virus as the innovation diffused within the social graph. We measure the rich connective patterns of the actor-based graph, and explore personal feats as they influence other nodes to adopt or reject an innovation. Results shows current triggers (lifting of inter-intra state migration bans) and shocks (exposure to covid-19 by migrants) will lead to late widespread majority adoption of 23.8-percent. At this, the death toll will climb from between 4.43-to-5.61-percent to over 12%. This value will continue to decrease in terms of percentage of confirmed cases and death when compared to other nations if the health and safety measured are still being implemented by the populace
Electric utilities worldwide are going through a process aimed at load balancing, reducing technical losses and improving the power quality. Network reconfiguration is one of several methods or applications to achieve these goals. It is featured with no investment costs where it is carried out through identifying the best location of the open point in the network. For this purpose, this paper is focused on applying the fuzzy clustering technique (FCT) on real distribution network in Mazoon Electricity Network (MEN) as a part of Oman distribution network. Supervisory Control and Data Acquisition (SCADA) system is used for measurement the performance of MEN for minimizing the power losses and improving the voltage profile. The FCT is applied to classify the distribution nodes based on their belonging to their feeder branch. The output of this FCT application is to create different valid reconfiguration scenarios which are simulated by ETAP to extract the optimal scenario that achieves the optimal network operation in terms of power losses reduction and voltage profile improvement
Advances in tech geared targeted at moving the society to a higher plain and sophistication with ease. The further integration of Internet to ease resource dissemination is attributed to its usage ease, ubiquity in its nature, low transaction cost and trust in channel. All these will continue to advance its popularity, usage ease and adoption. The rise thus, in adversaries threatens data integrity – and the task of detecting and use of countermeasures against intrusion remains a continuous task. Our study use a convolution neural network deep learning model to detect intrusion activities. Results shows model accurately detects malicious from genuine uncompromised packets traffic with confusion matrix yielding: TP = 43, TN = 3, FN = 5, FP = 9 for model sensitivity, specificity and accuracy. Model also displays a sensitivity of 93%, specificity of 25%, accuracy of 97% with a misclassification error rate of 4% for data inclusion that were not originally used to train model.
In a wireless communication system, one component that plays an important role is an antenna. On the radar system, it takes the characteristics of low profile and lightweight antennas. So, the current technology trends have focused a lot on the design of printed antennas. The type of printed meander dipole antenna was chosen because it was able to reduce the dimensions of the usual dipole arm. In this paper, the authors designed and simulated the antenna using CST Studio Suite. Then we fabricated and measured both a single element and eight-element antennas to verify the antenna performance. The antenna works at S-Band frequency. This antenna using Rogers RO-4003C (lossy) as a substrate with relative permittivity 3.55, thickness 1.524 mm, and has the advantage of being more resistant to input power (power handling) than FR-4. The realization of eight-element antennas is using for a 3-dimensional monopulse tracking air surveillance radar. The simulation results show functional return loss that is less than -15 dB. The radiation pattern is directional. Single element gain is more than 5 dB, while eight elements gain 13.78 dB, and the antenna input impedance is 50 W. So, the antenna has been qualified to the desired specification and can be used as a reference antenna for air surveillance radar system.
