• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.21-28
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• 2020

Technological advancements such as artificial intelligence, robots, and big data are revolutionizing the entire society. In this paper, we analyzed preliminary teachers' daily internet/gaming/smartphone habit and the difference between preference factors in gender and diagnosis group in the situation of ethical dilemma in driverless cars. The result shows most of the male students are in high risk group of daily internet/gaming usage, and male students tend to be more immersed in games compared to female students, which negatively affects their daily lives. Students who have at least one of the daily internet/gaming/smartphone habits are more likely to be classified as high-risk group in all three of daily internet/gaming/smartphone habit. Fortunately, the students perceived themselves addicted and wanted change their habits. An analysis by a moral machine of these students tells that there is no significant difference in preference between male and female students and among diagnosis groups. However, specifically in the ethical dilemma of driverless cars, all the groups of male, female, normal, high-risk showed they have priority in pedestrians over drivers, a large number of people over small, and people who obey traffic rules over who do not. The tendency was pronounced in female group and high-risk students prioritized people who are older and in lower social status.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.21 no.1
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• pp.54-59
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• 1999

This study was based on a series of 164 patients with zygomatic bone fracture treated at Department of Oral and Maxillofacial Surgery of Chonnam University Hospital from January 1992 to December 1996. The male-to-female ratio was 7:1. Their ages ranged from 8 to 78 years, with a median age of 35.6 years. The age frequency was highest in the second decade (30.5%), and third decade (23.8%), fifth decade (16.5%) in orders. The monthly distrbution of incidence showed October to be the month in which the greatest percentage occured (14.0%). The major cause of zygomatic bone fracture was alleged traffic accidents (53.7%). The incidence of concomitant facial bone fractures was 69,5%, and maxilla fracture (52.4%) was most frequently combined. The admission route was through emergency room (72.3%) and through outpatient department (26.8%). The incidence of associated injuries was 37.2%. The intraoral approach was the major method of treatment in zygomatic bone fracture (57.1%). The most frequent type of zygoma fracture was class IV (33.5%), and class III (25.6%) was next in order of frequency. Complications were enophthalmos (7.3%), facial asymmetry (6.7%), paresthesia (6.1%), and diplopia (2.4%) These results suggest that correct diagnosis and treatment of severity of fracture, concomitant fracture, and associated injuries are necessary, and co-operative treatment with medical department should be performed to reduce postoperative complication.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.281-293
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• 2020

Recently, large and small fires have been happening more often in Korea. Fire is one of the most frequent disasters along with traffic accidents in korean cities, and this frequency is closely related to the land use and the type of facilities. Therefore, in this study, the significance of fires was analyzed by considering land use, facility types, human and social factors and using 10 years of fire data in Jinju city. Based on this, OLS (Ordinary Least Square) regression analysis, SLM (Spatial Lag Model) and SEM (Spatial Error Model) using space weights, were compared and analyzed considering the location of the fire and each factor, then a statistical model with high suitability was presented. As a result, LISA analysis of spatial distribution patterns of fires in Jinju city was conducted, and it was proved that the frequency of fires was high in the order as follow, central commercial area, industrial area and residential area. Multiple regression analysis was performed by integrating demographic, social, and physical variables. Therefore, the three models were compared and analyzed by applying spatial weighting to the derived factors. As a result of the significance test, the spatial error model was analyzed to be the most significant. The facilities that have the highest correlation with fire occurrence were second type neighborhood facilities, followed by detached house, first type neighborhood facilities, number of households, and sales facilities. The results of this study are expected to be used as significant data to identify factors and manage fire safety in urban areas. Also, through the analysis of the standard deviation ellipsoid, the distribution characteristics of each facility in the residential area, industrial area, and central commercial area among the use areas were analyzed. In, the second type neighborhood facility with the highest fire risk was concentrated in the center. The results of these studies are expected to be used as useful data for identifying factors and managing fire safety in urban areas.