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:
Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
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
