• 보건교육건강증진학회지
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• 제23권3호
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• pp.65-83
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• 2006

Objectives: This is one of the first efforts to describe incidence of alcohol-related problems and to identify environmental correlates associated with them among colleges. Methods: Date were collected by a sample of 105 college administrators who are in charge of student affairs in colleges nationwide through self-administrated questionnaire. Both logistic and linear multiple regression analyses were employed to identify the correlates associated with alcohol-related problems. Results: Most of colleges(76.6%) under study reported to have at least one alcohol-related problem in previous years. Interpersonal violence was alcohol-related problem taken placed most frequently, followed by making noise episode, having property damaged and motor vehicle accidents. Logistic regression analysis identified factors associated with incidents of alcohol related problems. They included being private colleges, numbers of prevention activities, product promotion and marketing by alcohol industry and alcohol accessibility to drinking context. Multiple regression analyses showed that correlates associated with numbers of alcohol-related problems included being a private college, being located in rural area, having drinking density, product promotion and availability of alternative activities to drinking. Conclusions: Environmental correlates were associated with incidence of alcohol related problems in colleges nationwide. Policy implications were discussed.

• 한국응급구조학회지
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• 제17권3호
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• pp.169-179
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• 2013

Purpose: The performance rate to perform Cardiopulmonary Resuscitation (CPR) by witness in out-of-hospital Cardiac Arrest (OHCA) is very low in South Korea. To prevent the death caused by OHCA, it is important to encourage the witness to perform CPR actively. The purpose of the study is to investigate the influencing factors to affect bystander CPR rate. Methods: I conducted a questionnaire survey from 25 February to 4 March, 2013, receiving responses from 517 people in Korea. The questionnaire included social demographic factors, history of heart disease, knowledge of CPR, and the reliability of emergency medical service (EMS). A logistic regression analysis was conducted. Results: Among the 517 respondents, 294 (57.4%) had intention of performing CPR. Multiple logistic regression analysis found the following significant predictors of CPR intention: gender (odds ratio [OR] = 0.390), age (OR = 1.024), religion (OR = 0.843), and knowledge of CPR (OR = 4.734). Conclusion: This study indicated that the strongest predictor is knowledge of CPR. Therefore, it would be helpful to teach CPR nationwide to encourage performing CPR. In addition, effect of CPR education in religious facilities is necessary.

• 한국도로학회논문집
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• 제19권4호
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• pp.1-7
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• 2017

PURPOSES : This study aims to improve complex modeling of multivariable, nonlinear, and overdispersion data with an artificial neural network that has been a problem in the civil and transport sectors. METHODS: Deep learning, which is a technique employing artificial neural networks, was applied for developing a large bus fuel consumption model as a case study. Estimation characteristics and accuracy were compared with the results of conventional multiple regression modeling. RESULTS : The deep learning model remarkably improved estimation accuracy of regression modeling, from R-sq. 18.76% to 72.22%. In addition, it was very flexible in reflecting large variance and complex relationships between dependent and independent variables. CONCLUSIONS : Deep learning could be a new alternative that solves general problems inherent in conventional statistical methods and it is highly promising in planning and optimizing issues in the civil and transport sectors. Extended applications to other fields, such as pavement management, structure safety, operation of intelligent transport systems, and traffic noise estimation are highly recommended.

• 대한교통학회지
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• 제26권2호
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• pp.35-46
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• 2008

본 연구는 지방부의 교통사고 특성을 분석하고 사고모형을 개발하는데 그 목적이 있다. 이를 위해 본 연구에서는 청주시와 청원군의 신호교차로를 중심으로 다중선형, 포아송 및 음이항회귀모형을 개발하는데 중점을 두고 있다. 분석된 주요 연구결과는 다음과 같다. 첫째, 사고특성 분석을 통해 지방부 교통사고의 특성이 요인별로 파악되었다. 둘째, 통계적으로 설명력이 높은 4개의 사고모형이 개발되었다. 마지막으로 평균차로폭차($X_2$)와 교차로간거리 ($X_{11}$)가 지방부의 특성을 반영할 수 있는 특정변수로 밝혀졌다.

• 한국의류학회지
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• 제24권8호
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• pp.1115-1124
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• 2000

The purpose of this study was 1) to determine physical properties, and subjective evaluation of sensation of sports socks with various type of fiber content and fabric structure, and 2) to develop regression equations for predicting each sensation from physical properties of socks. Thirty healthy male students participated in the wear test with ten replications. The ANOVA, Duncans multiple test, and multiple regression, and paired-t test were used in the statistical analysis, using an SAS package. The results of this study are as follows: 1. 100% cotton socks had higher absorbency and wickability among five different socks. Comfort sensation, tactile sensation and fit sensation of socks were significantly influenced by types of fiber content. People felt that polypropylene socks were less comfortable & slightly tighter, and cotton socks were drier than the other socks. Terry socks were warmer than single jersey socks. 2. The results of the regression analysis showed that tactile sensation of socks after exercise can be predicted from the cube of moisture permeability($R^2$=0.99), and fit sensation can be predicted from drop absorbency, moisture permeability, wickability in wale and weight($R^2$=-0.98).

• Computers and Concrete
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• 제13권1호
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• pp.17-30
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• 2014

This research presents the effect of various ground pozzolanic materials in blended cement concrete on the strength and chloride penetration resistance. An experimental investigation dealing with concrete incorporating ground fly ash (GFA), ground bottom ash (GBA) and ground rice husk ash (GRHA). The concretes were mixed by replacing each pozzolan to Ordinary Portland cement at levels of 0%, 10%, 20% and 40% by weight of binder. Three different water to cement ratios (0.35, 0.48 and 0.62) were used and type F superplasticizer was added to keep the required slump. Compressive strength and chloride permeability were determined at the ages of 28, 60, and 90 days. Furthermore, using this experimental database, linear and nonlinear multiple regression techniques were developed to construct a mathematical model of chloride permeability in concretes. Experimental results indicated that the incorporation of GFA, GBA and GRHA as a partial cement replacement significantly improved compressive strength and chloride penetration resistance. The chloride penetration of blended concrete continuously decreases with an increase in pozzolan content up to 40% of cement replacement and yields the highest reduction in the chloride permeability. Compressive strength of concretes incorporating with these pozzolans was obviously higher than those of the control concretes at all ages. In addition, the nonlinear technique gives a higher degree of accuracy than the linear regression based on statistical parameters and provides fairly reasonable absolute fraction of variance ($R^2$) of 0.974 and 0.960 for the charge passed and chloride penetration depth, respectively.

• 정보처리학회논문지D
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• 제11D권7호
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• pp.1483-1490
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• 2004

소프트웨어분야에서 성공적인 프로젝트를 완수하기 위해서는 프로젝트를 완수하는데 필요한 개발노력이 정확히 추정되어야 한다. 그러나 이러한 개발노력은 소프트웨어의 크기나 여러 가지 운영환경의 영향으로 인해 프로젝트에 따라서 총 개발 노력의 규모는 차이가 있다. 일반적으로 기존의 연구는 개발노력을 추정하기 위하여 소프트웨어 규모인 기능점수(FP ; Function Point)를 이용하였다. 본 연구를 위해서 1990년대에 개발된 789개의 소프트웨어 개발 프로젝트들에 관련된 데이터를 이용하였다. 실험을 통해서 개발노력에 영향을 미치는 변수를 조사하였다. 또한 변수사이에 선형적인 관계를 조사하기 위하여 다중회귀분석을 실시하였다. 이 경우 전체의 데이터를 이용하는 것이 아니라 프로젝트 인도비율(PDR ; Project Delivery Rate : Hours/FP)을 다단계로 나누어서 각 단계별로 개발노력에 영향을 미치는 변인을 찾아내고 가장 이상적인 회귀식으로 도출하였다.

• 한국운동역학회지
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• 제30권1호
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• pp.83-91
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• 2020

Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

• 한국학교보건학회지
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• 제31권1호
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• pp.1-9
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• 2018

Purpose: This study was conducted to explore the relationship between aggression, self-esteem, and social withdrawal. Methods: This research is a cross-sectional survey. This study used the 5th-year data of the Korean Children & Youth Panel Survey (KCYPS) including 218 middle school students having delinquent behavior. The collected data was analyzed through $x^2$ test, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression, using SPSS/Win (ver. 23.0). Results: Significant positive correlations were found between aggression and social withdrawal and between aggression and self-esteem. Higher aggression was associated with higher social withdrawal and lower self-esteem. The results of the 2-step regression are as follows. Aggression was negatively correlated with self-esteem, whereas self-esteem was positively correlated with social withdrawals. The hierarchical multiple regression showed that 21% of the variance of aggression was significantly accounted for by self-esteem and social withdrawal. The most significant factor influencing aggression was social withdrawal. Conclusion: These results suggest that earlier screening and intervention programs to increase self-esteem and decrease social withdrawal for early adolescents should be developed to prevent aggression.

• 대한간호학회지
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• 제36권5호
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• pp.829-836
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• 2006

Purpose: The purpose of the present study was to identify prevalence of excessive daytime sleepiness(EDS) and its associations with sleep habits, sleep problems, depression, subjective health status and obesity in community dwelling adults. Method: Data was collected from adults aged 20-59 years by random sampling. Subjects completed a questionnaire which was composed of the Epworth Sleepiness Scale, Center for Epidemiologic Studies Depression Scale, and questions that included items about sleep habits, sleep problems, subjective health status and sociodemographic characteristics. Height and weight were measured for calculation of body mass index. The statistical analyses was based on 3,302 adults (51.5% males and 48.5% females). Descriptive statistics, univariate logistic regression and multiple logistic regression were used. Result: The prevalence of EDS was 17.1% Multiple logistic regression showed that the associated factors of EDS were depression, obesity, dissatisfaction with sleep time, irregular sleep, and habitual snoring. Depression was the most significant associated factor(adjusted odds ratio for severe depression=2.27, 95% Confidence Interval=1.73-2.96). Conclusion: EDS is a common symptom in adults. Our finding suggested that persons with a complaint of EDS should be completely assessed for depression and obesity as well as sleep problems.