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:
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