• 가정과삶의질연구
• /
• 제32권6호
• /
• pp.19-30
• /
• 2014

The purpose of this study was to identify the relationships between Healthy Family Support Center (HFSC) program participation and family strengths and program needs based on HFSC participants' individual, family, and community characteristics. A total of 695 HFSC participants who were married and had participated in HFSC programs were recruited through 25 local HFSCs in Seoul. A multiple regression method was conducted for data analysis. The major findings are as follows. Family strengths was related to the variables of age, education, monthly household income, and participation in family counseling and sharing family care programs. In terms of program needs, the variables of marital conflict, difficulty in care, financial distress, family strengths, and family-friendly community were associated with HFSC program needs while participants' socio-demographic characteristics were not related to program needs. This study highlights that HFSC programs have different target populations considering that the level of family strengths was different among the various programs' participants. In addition, program needs are different depending upon the HFSC participants' experiences in the family and community. These findings suggest that it is important to consider participants' family and community characteristics as well as participants' socio-demographic characteristics to provide appropriate programs for all HFSC participants.

• 한국환경복원기술학회지
• /
• 제10권5호
• /
• pp.10-19
• /
• 2007

The objectives of this study are to suggest the future development direction and improvement plan by analyzing the status of operation and satisfaction degree of cheonggyecheon ecological interpretation program. For the purpose, this study used the questionnaire about the satisfaction degree of program which were divided into two groups, adults and children and analyzed the result of program operation from 4th of April to 31 th of October in 2006. The result are as follows; 1. The total degree of satisfaction of adult is more higher than the children's. 2. The result of regression analysis shows the ecological interpretator variable turns out the most influential factor of satisfaction degree of program. 3. The most of visitor prefer the program which can experience diverse sense on the flora and fauna in cheonggyecheon. Therefore, it is needed to develop the program which can take children's fancy and experience diverse sense on the fauna and flora as well as improve the level of ecological interpretation.

• Computers and Concrete
• /
• 제21권5호
• /
• pp.559-567
• /
• 2018

In this study alkali activation of Electric Arc Furnace Slag (EAFS) is studied with a comprehensive test program. Three different silicate moduli (1-1,5-2), three different sodium concentrations (4%-6%-8%) for each silicate module, two different curing conditions (45%-98% relative humidity) for each sodium concentration, two different curing temperatures ($400^{\circ}C-800^{\circ}C$) for each relative humidity condition and two different curing time (6h-12h) for each curing temperature variables are selected and their effects on compressive strength was evaluated then regression equations using multiple linear regressions methods are fitted. And then to select the best regression models confirm with using the variables, the regression models compared between itself. An Artificial Neural Network (ANN) models that use silicate moduli, sodium concentration, relative humidity, curing temperature and curing time variables, are formed. After the investigation of these ANN models' results, ANN and multiple linear regressions based models are compared with each other. After that, an explicit formula is developed with values of the ANN model. As a result of this study, the fluctuations of data set of the compressive strength were very well reflected using both of the methods, multiple linear regression with quadratic terms and ANN.

• 모자간호학회지
• /
• 제1권
• /
• pp.34-44
• /
• 1991

The purposes of this study were to predict newborn birthweight by use of gestational period and fundal height and to identify growth curve of fundal height according to gestational period and growth curve of newborn birthweight according to fundal height. The subjects for the study were 802 women who delivered the normal newborn babies at Seoul National University Hospital from Sep. 1, 1981 to Aug.31, 1986. The data were collected bit chart review and analyzed nth SPSS program. The results of study were as follows : 1. The multiple regression equation ($R^2$=0.416) used for the prediction of newborn birthweight was y=(newborn birthweight, kg)=-4.421+0.075$x_1$(fundal height, cm)+0.053$x_2$(gestational period, weeks)+0.016$x_3$(abdominal girth, cm)+0.010$x_4$(maternal height, cm) 2. The growth curve of fundal height according to gestational period was obtained by polynomial regression. The regression equation was Y(fundal height, cm)=-36.78+18.58$log_ex$(gestational period, weeks) The growth curve of newborn birth weight according to fundal height was obtained by polynomial regression. The regression equation was Y(newborn birthweight, kg)=-8.09+3.27$log_ex$ (Fundal Height, cm) 3. In the following subgroups no significant difference was found in fundal height : engaged vs. nonengaged presentation, and nulliparous vs. multiparous women.

• Journal of Korea Artificial Intelligence Association
• /
• 제1권1호
• /
• pp.1-6
• /
• 2023

This study developed models using decision forest, support vector machine, and logistic regression methods to predict and prevent suicidal ideation among Korean adolescents. The study sample consisted of 51,407 individuals after removing missing data from the raw data of the 18th (2022) Youth Health Behavior Survey conducted by the Korea Centers for Disease Control and Prevention. Analysis was performed using the MS Azure program with Two-Class Decision Forest, Two-Class Support Vector Machine, and Two-Class Logistic Regression. The results of the study showed that the decision forest model achieved an accuracy of 84.8% and an F1-score of 36.7%. The support vector machine model achieved an accuracy of 86.3% and an F1-score of 24.5%. The logistic regression model achieved an accuracy of 87.2% and an F1-score of 40.1%. Applying the logistic regression model with SMOTE to address data imbalance resulted in an accuracy of 81.7% and an F1-score of 57.7%. Although the accuracy slightly decreased, the recall, precision, and F1-score improved, demonstrating excellent performance. These findings have significant implications for the development of prediction models for suicidal ideation among Korean adolescents and can contribute to the prevention and improvement of youth suicide.

• 재활간호학회지
• /
• 제4권2호
• /
• pp.207-218
• /
• 2001

This study was carried out to find out the basic data required to plan and develop Rehabilitation Day Care Program for the stroke survivor's family in Korea. The subjects comprised of 92 stroke survivor's family who discharged from 4 hospitals in Seoul during the past 2 years. The data were collected from August 3, 1998 to September 18, 1998, through interviews with questionnaires about general characteristics, activities of daily living, depression and service need of rehabilitation day care program at the outpatient clinics by trained nursing graduates. Data were analyzed with descriptive analysis, Pearson's correlation analysis, and Stepwise multiple linear regression analysis using SPSS/WIN 10.0 program. The results obtained are as follows; 1. The mean score of the general need of rehabilitation day care program of stroke survivor's family was 3.10(range 1-4). The highest need among the service categories of the rehabilitation day card program was self-care and restorative activities category(3.30), and health services referral category, recreation category, psychosocial activities category in order. The needs of each category are as follows. In the health services referral category, the need for dental examination and medical examination were highest, followed by the need for physical therapy and occupational therapy. In the psychosocial activities category, the need for family counselling was highest. In the self-care and restorative activities category, the need for ROM exercise training was highest, followed by bowel training, and ambulation training. 2. The need of family for rehabilitation day care program service displayed a correlation with the level of education, ADL, and the level of depression, and a reverse correlation with age, illness intrusiveness, depression, knowledge, subject and object burden and relationship with stroke survivors. 3. The stepwise multiple linear regression analysis revealed following results. For the need for rehabilitation day care program service, 22.6% of the variance was initially explained by level of family's knowledge about caring method for stroke survivors, 8.8% was the level of subjective burden and 5.4% was relationship with stroke survivors. In conclusion, above characteristics should be considered to develop stroke survivors' rehabilitation day care program.

• 벤처창업연구
• /
• 제11권5호
• /
• pp.45-56
• /
• 2016

기술창업에 대한 관심이 증가하며, 기술창업 활성화를 위한 다양한 정책이 제시되고 있다. 기술창업에 대한 높은 기대 속에 이를 장려하기 위한 정책적/양적 폭이 확대되고 있으며, 현장의 목소리를 반영하여 질적으로도 수준을 제고한 정책이 마련되고 있다. 그럼에도 불구하고, 여전히 정부의 계획 및 지원 방향이 창업 이후에만 집중되고 있다는 한계를 드러내고 있다. 따라서 이를 보완하여 창업 이전 시점에 포커스를 맞춘 정책과 프로그램 마련이 필요한 시점이다. 이에 따라 본 연구에서는 실제 창업이 이뤄지기 앞 단계에서, 교육 프로그램으로서 창업의 성공 가능성을 높이기 위한 방안으로 예비창업지원 프로그램 도입을 제안한다. 본 연구에서는 중요도-만족도 분석 및 다중회귀방법을 활용하여 분석을 수행하여, 예비창업지원 프로그램 도입의 근거를 제시하였다. 먼저, 갭 분석 및 중요도-만족도 간 검증을 수행한 뒤 각각을 사분면에 위치시켜 유형화하였다. 다음으로 다중회귀분석을 통해 세부 프로그램이 예비창업지원 프로그램 전반의 만족도에 미치는 영향을 분석하였다. 그 결과 자금을 제외한 나머지 네 개 프로그램은 만족도에 유의미한 영향을 주며, 각 세부 프로그램의 영향력을 확인할 수 있었다. 이상의 분석을 바탕으로 예비창업지원 프로그램의 실효성을 확인할 수 있었으며, 이를 종합하여 향후의 프로그램 강화를 위한 방법을 제안하였다. 결론적으로 예비창업지원 프로그램 도입은 창업 성공을 촉진하는 기제로 작용할 수 있을 것으로 기대된다.

• 한국컴퓨터정보학회논문지
• /
• 제24권11호
• /
• pp.245-254
• /
• 2019

본 연구는 프랜차이즈 교육프로그램의 전문성이 만족도, 업무효율성, 경영성과에 어떠한 영향를 미치는가를 분석하여, 프랜차이즈 경영에서 중요시되는 교육프로그램을 어떠한 방식으로 개발해야 하는지 그 방법을 찾는데 목적이 있으며, 프랜차이즈 교육프로그램의 지속적인 운영방안을 제안하고자 한다. 본 연구에서는 프랜차이즈 교육프로그램을 이수한 경험이 있는 이용자 224명을 대상으로 설문을 실시하였다. 선행연구를 통해 프랜차이즈 교육프로그램의 전문성을 교육강사, 교육내용, 교육환경, 교육방법으로 구분하였다. 연구가설의 검증을 위하여 단일 회귀분석, 다중회귀 분석을 실시하여 변수간이 관계를 검증하였다. 핵심 연구결과를 정리해보면 첫째, 프랜차이즈 교육프로그램의 전문성이 만족도에 긍정적 관계가 있는 것으로 나타났다. 둘째, 프랜차이즈 교육프로그램의 전문성이 업무효율성에 긍정적 관계가 있는 것으로 나타났다. 셋째, 만족도는 업무효율성에 영향을 미치는 것으로 나타났다. 넷째, 만족도와 업무효율성은 경영성과에 긍정적인 영향을 미치는 것으로 나타났다. 이러한 연구결과로 볼 때 프랜차이즈 교육프로그램의 전문성 향상을 위하여, 교육강사에서 시작하여 교육방법까지 업종과 대상에 맞는 교육 프로그램을 개발하고, 만족도와 업무효율성을 높이기 위하여 지속적인 소통과 개선이 이루어지면, 좋은 성과를 낼 수 있는 프랜차이즈 교육프로그램이 될 것이다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
• /
• pp.540-545
• /
• 1988

In this study a microcomputer-aided design program has been developed to design and analysis for the digital adaptive control system. DACS(Digital Adaptive Control System) program has been written in GWBASIC language which is suitable for IBM-PC compatible. The dynamics of each element was modulized and described by linear difference equations. By the aid of this program, sampling time, the number of bits of A/D and D/A converter and the stability for the digital adaptive control system can be determined. In order to estimate the system parameters an on-line identification and a regression analysis method are utilized. The simulation results have been well agreed with the experiments. To demonstrate the utility of this program, an adaptive control system has been designed for air-heating system.

• 한국의류학회지
• /
• 제27권3_4호
• /
• pp.384-394
• /
• 2003

The purpose of this research is to provide the apparel companies with a successful business strategy by analyzing the concept, function and current status of mileage programs; and examining how customer's attitude, recognition, experience, compensation method of the mileage program in apparel companies affect its brand loyalty. In this research simple random sampling was performed. The sample pool was based on 494 people which included college students and employed men and women in their twenties and thirties living in Seoul and in the metropolitan area. The data analysis was completed on the basis of SPSS package, using frequency, percentage, mean, standard deviation, factor analysis, variation, Scheffe test, regression, t-test, and X/sup2/. The following results were found in this research: It is effective to maintain brand loyalty through continuous relationship with consumers as fierce competition increases in apparel companies. A mileage program is a win/win strategy that allows clothing companies to increase its sales and brand loyalty while consumers feel greater satisfaction.