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
Along with the development of technology, space weather activity becomes a very important thing in science. It’s caused by whether activity that occurs in space can affect the activities of life on the earth. Therefore, it’s important to be able to detect whether events in space, including solar flares. We believe that there has not been a single solar flare prediction study that did a prediction using PROBA-2 SWAP data, because flares are difficult to catch at that frequency. Nearly all previous researches have been focused on SOHO / MDI and SDO / HMI satellite. If the two satellites can’t capture the image for some reason, then PROBA2 SWAP satellite imagery can be an alternative. This research is aimed to implement image processing and machine learning methods on SWAP PROBA2 satellite imagery to predict event numbers of solar flare. The machine learning algorithm used is random forest, while the segmentation algorithm used is seeded region growing. This solar flare prediction research using SWAP PROBA2 satellite imagery produced the best f-measure value of 0.897
The development of Agropolitan areas require certain stages and the initial is identifying the superior commodities. This study, therefore, aimed to determine the superior commodity in the agropolitan area of Pasuruan Regency, East Java using the secondary data published by the Central Statistics Agency of Pasuruan Regency in 2017-2018. This research made use of land use analysis (land suitability analyses) as well as the district government policies to determine these commodities, LQ, and shift share analysis. The land suitability analysis shows the location of development superior product, LQ analysis showed the main plantation commodity is coffee and shift-share discovered those with fast growth include coffee and tobacco while land suitability found coconut, coffee, sugar cane, and tobacco. Furthermore, coffee was observed to have received support from the Pasuruan Regency Government in its development and the results from all the analyses indicate it is a superior commodity in the regency