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
One of the main issues with k-means-type algorithms is their sensitivity to seeding selection. Typically, good seeding selection leads to good clustering results. This study provides supporting evidence that the recent k-approximate modal haplotype (AMH)-type algorithm is insensitive to seed selections for clustering categorical data, compared with its counterpart, the fuzzy k-modes-type algorithm. The k-AMH algorithm demonstrates its advantages using six real-world datasets, obtaining high minimum, maximum, and median scores compared with those obtained by the fuzzy k-modes algorithms as verified using analysis of variance and t-tests. Hence, the k-AMH-type algorithm provided statistically significantly different scores at a 5% significance level, compared with the fuzzy k-modes-type algorithm. However, the t-test showed that the k-AMH-type algorithm did not show a significant difference, compared with randomized or k-means++ seeding. Therefore, with insensitive seed selection, the k-AMH-type algorithm could be used to develop a categorical clustering tool
Microplastics represent one of the most current global concern issues for environmental and human health. The main concern is for aquatic ecosystems, a very large increase in the number of microplastics has recently transformed these compounds and their degradation products into one of the most common marine debris. To decompose plastic waste requires 50-100 years to be completely degraded so that it becomes a threat to aquatic ecosystems. This research aims to determine the concentration and characteristics of microplastics pollution at estuaries at Kendari Bay. The data of this research were sourced from water and sediment samples from 3 estuaries at Kendari Bay including the Punggaloba estuary, Lahundape estuary, and Wanggu estuary. The analytical methods used in this research include National Oceanic and Atmospheric Administration (NOAA), Scanning Electron Microscopy (SEM), Fourier Transform Infrared (FTIR), Origin Software and SPSS Software. The results showed that the Kendari Bay was contaminated by microplastics. The highest concentration of microplastic pollution is found at the Lahundape estuary, which is 10.07 particles/liter of water and Punggaloba estuary, which is 96 particles/kg of sediment. Microplastic characteristics are based on morphological analysis and particle size. It can be seen that the shape of microplastic particles from water and sediments includes fragments, fibers, and pellets. The range of microplastic sizes in water samples ranges from 0.24-20.34 μm while the size range in sediment samples ranges from 0.12-16.53 μm. The most dominant source of microplastic polymers found at Kendari bay is polystyrene type