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
The objective of this paper was to develop a statistical model for the time-variant corrosion diminution of subsea pipelines. For this purpose, the measurement database of corrosion wastage in subsea pipelines was collated. The formulation of corrosion damage was characterised based on the collated database in which the best fit function was investigated using statistical analysis. A formula was thus derived as a function of time for predicting the time-variant corrosion diminution of subsea pipelines. This study is a subsequent result of an earlier work published by Mohd et al., , whereby the corrosion of subsea gas pipelines has been formulated by a 3-parameter Weibull function
In the internet of things era, everything gets connected at anytime from anywhere. Big data results from increasing in transforming raw information from different sources. In this context, an efficient processing approach has used. Image registration techniques consider one of the widely used techniques for manipulating redundant images before storing them permanently. However, there is still one more issue to discuss with this technique, the optimization problem. Finding the best transformation which requires working with too many solutions is called optimization. The computational intelligence field of artificial intelligence includes many algorithms based on the natural inspired process. The evolutionary algorithm is the first choice for many researchers to overcome this problem for their easy and low-cost implementation. But the local optima problem is inherently in these algorithms. So the researcher tries to use different emerging techniques to overcome this obstacle. In this review, different optimization techniques reviewed and summarized in order to give an extent to the current development in this