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Coronavirus epidemic caused announcing emergency case in South Korea. The virus started with one infected case by January 20, 2020, where 9583 announced cases were reported by March 29, 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause national crises for South Korea. The aim of this study is to fill a gap between previous studies and the current development of CoVID-19 spreading, by extracting a relationship between independent variables and dependent variable. This research statistically analyzed the effect of sex, region, infection reasons, birth year, and released or diseased date on the reported numbers of recovered and deceased cases. The results found that sex, region, and infection reasons affected on both recovered and deceased cases, while birth year only affected on deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases.

Different solar tracking variables have been employed to build intelligent solar tracking systems without considering the dominant and optimum ones. Thus, several low performance intelligent solar tracking systems have been designed and implemented due to the inappropriate combination of solar tracking variables and intelligent predictors to drive the solar trackers. This research aims

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