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:
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., [1], 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
Grinding is one of the most important finish processing methods for hard-to-machine metallic alloys. For precise grinding, dressing is required. In grinding processes, the dressing regime parameters are the most important enabling factors that need to be determined. This study refers to the influences of the dressing parameters when grinding sharpen convex surface by CBN wheel on CNC milling machine are investigated. Those parameters are the depth of dressing cut, the rate of dressing feed and the speed of grinding wheel. This study has applied Taguchi technique and analysis of variance (ANOVA) to identify the impact of dressing regime parameters on the surface roughness. The results show that the impact level of the feed rate (Fe), the wheel speed (Rpm), the cutting depth (aed) are 38,35%, 28.84%, 24.44% with an error on surface roughness (Ra) is 7.36%. For the desired result “smaller is better”, optimum dressing parameters with the cutting depth of 0.02 mm, the wheel speed of 1000 rpm and the infeed rate of 200 mm/min have been determined. With their optimum dressing parameters, the grinding processe convex shaped profile cylinder part by CBN wheel on CNC milling machine gets the best surface roughness
An Experimental analysis in Oman was displayed to assess the execution and vitality sparing limit of a desiccant cooling and air conditioning framework made out of a silica gel bed, a split kind ventilation system (3.5 kW refrigeration) introduced in a stay with a volume of 90 m3, air conduits and a blower. The trial was made such that the rates of return air, open air and indoor air blended with the air leaving the desiccant and desiccant bed thickness could be balanced. Tests were led on a few days with generally comparable surrounding conditions. Under the test conditions in this test, a 70 mm bed thickness is suggested with a most extreme adsorption rate of 410 g/h. The ideal rates of air proportions were as per the following: 10% of open air, 10% of return air (combined at the desiccant bed channel) and 80% of indoor air blended with the dry air leaving the desiccant. The relating power sparing was around 19%. Obviously, basic financial investigation shows that the desiccant Cooling and air conditioning isn't feasible for littler air conditioning limits
In this research we analyze the levels of math anxiety in high school students in the educational system of Telebachilleratos Comunitarios. The study was carried out by applying the RMARS questionnaire to a sample of 200 students located the suburban localities of Tejería and Medellín in the state of Veracruz, Mexico. The results are analyzed and discussed based on the statistical procedure of the AFE and ANOVA. The values (KMO = .739; X2 = 286.057; gl = 3; p < .000; .730 < MSA < .751) which supports the rejection of Ho. The variance for RMARS 79 % is explained by three factors like [1]. In addition, gender differences were found in two factors
