• Korean Journal of Social Welfare Studies
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• v.40 no.1
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• pp.197-234
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• 2009

Typological theories of offending postulate that childhood-onset delinquents have a high likelihood of being serious and chronic offenders and that there are a distinct set of risk factors predicting early-onset antisocial behaviors. It is useful to empirically classify children into subgroups based on their deviant behaviors because it helps us to identify unique factors associated with each subgroup. Using the first two waves of the Korean Youth Panel Survey, Elementary School Data, this study aimed(a) to empirically classify 5th graders into latent delinquent subgroups, and (b) to examine the impact of individual, familiar, school, and peer factors on the latent delinquent classes. Latent class analysis yielded three latent classes based on 15 indicators of deviant behaviors - delinquent class, low-level delinquent class, & normative class. The results from multivariate multinomial logistic regression analyses revealed that being male, reporting low self-control, coming from poor family, high association with deviant peers, and being bullied increased the risk of being in the delinquent class. Moreover, low self-control, aggression, domestic violence, low level of attachment to teachers, and deviant peers independently increased the risk of being in the low-level delinquent class compared to the normative class. Based on the study findings, implications for practice as well as future studies were discussed.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.314-325
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• 2015

The goal of this study was to evaluate the relationship between metabolic syndrome risk factors and health promotion behavior in general hospital nurses. Data were conducted using a structured questionnaire survey with 450 registered nurses in a general hospital in Gyeonggido. Data were collected from October 6 to October 31, 2014. The data were analyzed using SPSS/WIN 21.0. version. The overall prevalence of metabolic syndrome was 8.0% for nurses at a general hospital. The mean score of Health promotion lifestyle profile was 2.53( range: 1.22~3.44). The high prevalence risk groups for metabolic syndrome was between 26 and 30 yr of age, ICU nurses and drinking one or two times/1wk. The study indicates that hospital administrators should focus on job circumstances of nurses(especially nurses classified as high prevalence risk for metabolic syndrome) for improvement and prevention of MS prevalence risk.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.643-649
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• 2017

This research is to compare factors which influence to mobilize police force necessary for crowd gathering occasions, and the purpose of this research is to prepare scientific basis for mobilization of police force by understanding order of priority of obstructive factors to mobilize police force for progressing safe crowd gathering occasions. Crowd gathering occasion has a characteristic that minor cause can lead to huge damage because many people concentrically gather at a specific place. In order to control these risks, it is necessary to analyze criteria on order of priority which can arouse risk to mobilize police force. In this research, I classified the factors influencing safety of crowd gathering occasion as internal risk factor, external risk factor and traffic safety threatening and set up the level of private security manpower and participants mobilized to crowd gathering occasion as independent variable and set up mobilized police force from 2013 to 2014 as dependent variable and analyzed it hierarchical analysis. From the result of analysis, the biggest influence to mobilization of police force for crown gathering occasion was the number of participants, and next self order-keeping agents and reason of mobilizing police force. Based on the result of analysis that the biggest factor to mobilize police force to crowd gathering occasion is the number of participants, it can be resulted that the number of participants influence to the risk of crowd gathering occasion.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.299-303
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• 2011

사전재해영향성검토 협의제도는 개발로 인해 발생할 수 있는 재해유발 요인을 사전에 검토하여 이를 사전에 제거하는 것이 목적이다. 사전재해영향성 검토는 1996년부터 시행한 재해영향평가의 한계점을 보완하기 위하여, 2005년 개정된 자연재해대책법에서는 사전재해영향성 검토협의제도를 포함하였으며, 2005년 8월 17일 동법 시행령을 개정 공포하여 사전재해영향성검토 협의제도를 본격적으로 시행하게 되었다. 본고에서는 사업 대상 지구를 "부산장안지구 택지개발사업(1단계)"로 선정하였으며, 개발에 따른 재해 발생요인, 즉 유출량 증가에 따른 하류부의 홍수피해 가중, 토공 공사에 따른 토사유출량 증가, 절 성토계획 따라 유발되는 사면의 불안정에 대한 사전검토를 목적으로 하였다. 사업시행에 따른 개발중 토사유출량의 증가와, 개발후 홍수유출량의 증가로 재해의 위험이 예상되어 개발 중의 임시저류지 겸 침사지 2개소와 개발 후의 영구저류지 1개소를 계획하여 홍수유출량을 $2.48m^3/sec$을 줄이고, 토사유출을 90% 포착하였다.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.67-78
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• 2021

The subjects of this study are Chinese players who have participated in public welfare games. SPSS24.0 and AMOS24.0 were used to analyze the data, including reliability analysis, validity analysis, correlation analysis, structural equation model verification and so on. The hypothesis results show that Trust-Aware is the most important motivation dimension that affects players' participation in public welfare games. Under the dimension of Performance Expectancy, the main influencing factors are players' needs for self-realization and concern for vulnerable groups. Perceived Risk and Social Influence are the motivational factors that influence players' participation in public welfare games.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.3
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• pp.305-316
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• 2021

Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.1095-1099
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• 2009

In general, slope failures are occurred by the interaction among various factors(slope shape, hydraulic condition, and geologic condition, etc.). Hydraulic condition was a very important factor of a stability in cut slope and a dangerous of road passing. In this study, two cut-slope case on prescription of spring out water present. And this study data is used at practical affairs.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.784-788
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• 2010

본 연구는 자연재해대책법에 의해 개발사업으로 인한 재해유발요인을 예측 분석하고 이에 대한 대책을 강구하기 위해 수행되고 있는 사전재해영향평가에서 토양유실도 작성을 위한 HyGIS와 연계한 토양유실량 분석 모형을 개발하는 것을 목적으로 하고 있다. HyGIS(Hydro Geographic Information System)는 GIS를 수자원의 다양한 분야에 손쉽게 적용하기 위해서 컴포넌트 형태로 개발된 시스템이다. HyGIS에서는 DEM을 이용하여 유역 및 하천망의 추출과 지형분석이 가능하며, 하천 네트워크를 기반으로 유역의 다양한 정보를 운용할 수 있다. 또한 HyGIS는 데이터베이스를 기반으로 운영되며, GIS를 이용한 수자원 분야의 응용프로그램 개발 시 기반 시스템으로 활용될 수 있다. 본 연구에서 개발한 HyGIS와 연계한 토양유실 분석 모형은 HyGIS의 데이터베이스를 공동으로 이용할 수 있도록 개발하였다. 개발 툴은 GEOMania GMMap2009의 Add-on 형태로 개발하였고, OECD에서 제안한 토양유실 위험 등급도도 작성할 수 있도록 개발하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.13 no.2
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• pp.211-218
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• 1993

Landslides, failure of slope stability by natural or artificial factors, occur loss of life and properties. Recently, statistical methods and field measurements are used to a study for prediction of landslide harzard area, but there are so many difficulties to find the occurence system because of its complexity. In this study, authors choose the model area where occured landslides to predict the landslide hazard. Authors made a database of ground height to compare the each topography by scale of 1 : 25,000, 1 : 10,000, 1 : 5,000 and 1 : 1,200. Authors predict to landslide hazard area by the weight of ground height data and slope angle data. Finally, authors could know the possibility of prediction to find the landslide hazard partly.

• The Journal of Bigdata
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• v.5 no.2
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• pp.201-213
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• 2020

Despite empirical research that the response to human risk is significantly influenced affective factors, the role of affective factors has been unexplored in information privacy research. This study aims to explore the privacy behaviors of location-based service (LBS) users from an affective point of view. Specifically, the study explored the relationship between three types of privacy threats (collection, hacking, secondary use), two affects (worry, anger), and a coping behavior (continuous use intentions). The structured survey was conducted with 552 users. In order to analyze the effect of the combination of perception of particular privacy threats and particular affects on the intention of continuous use, association rules, one of the data mining techniques, was employed. As a result, there was a difference in the intention to use according to the combination of the perception of risk and affect responses, and the most significant influence on the intention is when the second use of personal information was combined with anger. This study has significant theoretical contribution in that it includes affective factors in the research of information privacy users, complementing the biases of existing cognition-oriented approaches and providing a comprehensive understanding of privacy response behavior.