• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.676-679
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• 1997

The present paper is concerned with the optimal deslgn that the static spring rate of the fiber-reinforcement composite spring is fitted to that of the steel leaf spring. The thickness and w~dth of springs were selected as deslgn variables. And object functions of the regression model were obtained through the analysis with a common analytic program. After regression coefficients were calculated to get functions of the regression model, optimal solutions were calculated with DOT. E-GlassIEpoxy and CarbonIEpoxy were used as fiber reinforcement materials in the design, which were compared and analyzed with the steel leaf spring. It was found that the static spring rate of the optimal model was almost similar to that of the existing spring.

• 한국보건간호학회지
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• 제27권1호
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• pp.76-88
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• 2013

Purpose: The purpose of this study was to identify the degree of sleep quality and its associated factors in adults. Methods: The data was collected from 986 adults aged 19 to 64 by convenience sampling. Subjects completed a questionnaire composed of Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and other questions that self-rated health and sociodemographic variables. Statistical methods used included descriptive statistics, simple logistic regression, and multiple logistic regression analyses. Results: The global PSQI score was 5.7. About 45% of the subjects were poor sleepers (global PSQI score >5). Multiple logistic regression analyses showed that factors significantly associated with sleep quality were depression and poor self-rated health in young and middle-aged adults. Depression was the most significant associated factor. The presence of a spouse was also associated with sleep quality in young adults. Conclusion: These findings suggest that people with poor sleep quality should have their health carefully screened for depression. In addition, we recommend the development of a nursing program for improving sleep quality.

• 대한가정학회지
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• 제45권4호
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• pp.29-42
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• 2007

The purpose of this study is to investigate the leisure and social support types which affect elderly depression. The study sample comprised 275 cases, and the analysis was performed by t-test, ANOVA, multiple regression and stepwise regression on SPSS ver. 10.0. The following three principle results were obtained: First, the types of leisure and social support differed according to domographic profiles. Second, among 6 sub-factors of leisure type, sports and viewing impressions activities contributed positively to elderly depression, as did emotional and appraisement supports among 4 sub-factors of social support. Third, stepwise regression analysis, conducted to determine the effect weights of factors of leisure types and social supports, showed that emotional support, social relationships activity, and viewing impressions activity strongly affected elderly depression in the order listed. Based of these results, the study suggested methods for developing an active leisure activities program which is necessary to minimize elderly depression.

• 수산해양교육연구
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• 제28권1호
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• pp.279-288
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• 2016

The purpose of this research is to examine the impact between the export education of SMEs in Busan Region and export possibility. 62 SMEs in Busan Region were participated in survey. For the empirical analysis, Logistic regression analysis was used with Spss12 to analyze the impact between the involvement on export education and SME's export possibility. In a result, among 3 variables (support, participancy, importance) of involvement on export education, the importance had the influence significantly on export possibility of SMEs. The results indicated that having the intention about the importance of export education is very notable, and implied that it is necessary to develop the education program emphasizing the importance of export education for SMEs' successful export.

• 농촌계획
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• 제19권4호
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• pp.105-113
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• 2013

This study aimed to provide basic data for the national park management by analysing visitors' behavior and satisfaction determinants by importance-performance analysis and estimated regression analysis through post-occupancy evaluation questionnaire method to the Gyeongju National Park visitors. It was found that facilities and use management according to place and use group, the diversity of visit program, high quality of guidance and hospitality of staffs and conservation of historic and landscape resources for Gyeongju National Park were necessary as the results of behavior analysis, importance-performance analysis. The historic landscape resources, hospitality of staffs, visit road and safety facilities, commercial facilities were important determinants of users' satisfaction as the results of regression analysis. It suggested the characteristics of Gyeongju National Park and these factors were the most important factors for the improved management.

• Journal of Biosystems Engineering
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• 제22권2호
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• pp.247-255
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• 1997

This study was conducted to develop regression models predicting sugar and acid contents in intact fruits nondestructively by using the second derivative of absorbance spectrum measured with a spectrophotometer wavelength range of 400nm to 2, 400nm. The correlation analysis was made in wavelength range of 600nm to 1, 100nm and 600nm to 2, 400nm respectively, in order to examine the feasibility of using a real time spectrophotometer, which covers the former range, in predicting sugar and acid contents. The second derivative data of the spectrum were obtained by varying smoothing size and derivative size of the original absorbance spectrum. SAS statistical package program was used for the regression analysis. The sugar contents of Fuji apple, Shingo pear md Yumyung peach could be predicted with SEPs of 0.40, 1.17 and 0.77 respectively, in the spectrum range of 600 to 1, 100nm. The highest correlation coefficient of the titratible acidity of apple was -0.45 at 2, 346nm and regression models indicated determination coefficient less than 0.47.

• 대한인간공학회지
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• 제16권1호
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• pp.47-61
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• 1997

A statistical method was developed to examine the US navy women's sizing system. Subjects including 906 navy female personnels were classified into seven groups based on the body type. Regression analyses were performed within seven groups to determine the sizing system maximizing the fitness of clothing in each group. New parameters were developed and used to statistically investigate the fitness level based upon boty navy sizing system and regression based system in this study. A customizef SAS program was used to compute the fitness levels. Results indicated that the navy sizing system showed lower fitness level in most groups except Juniour than the regression based system. It was concluded that the current method with new parameters could be used as an objective tool to evaluate the existing or new sizing system. This method can be further validated in other sample populations.

• Journal of Korean Biological Nursing Science
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• 제21권4호
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• pp.292-299
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• 2019

Purpose: The purpose of this study was to determine whether poor preoperative nutritional status in elderly patients exhibited a negative influence on postoperative clinical outcomes. Methods: The medical records of 645 elderly patients were examined retrospectively. The patients had undergone major surgery between January 2017 and January 2018. Their nutritional status was measured using the Nutritional Risk Screening 2002. The data were analyzed using the chi-squared test, the Mann-Whitney U test, logistic regression, linear regression, Cox proportional hazards regression, and the Kaplan-Meier analysis. Results: Preoperative malnutrition was found in 73 patients (11.3%). Poor preoperative nutritional status was significantly associated with pressure ulcers, length of hospitalization, discharge to patient care facilities rather than home, and mortality rate at three months. Conclusion: Preoperative malnutrition in elderly patients was associated with negative postoperative clinical outcomes. These results indicate that an effective nutritional program before surgery can lead to a more rapid postoperative recovery.

• 한국산업융합학회 논문집
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• 제22권6호
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• pp.749-756
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• 2019

Big data is structured and unstructured data that is so difficult to collect, store, and so on due to the huge amount of data. Many institutions, including universities, are building student convergence systems to foster talents for data science and AI convergence, but there is an absolute lack of research on what kind of education is needed and what kind of education is required for students. Therefore, in this paper, after conducting the correlation analysis based on the questionnaire on basic surveys and courses to improve the curriculum by grasping the satisfaction and demands of the participants in the "2019 Big Data Youth Talent Training Course" held at K University, Regression analysis was performed. As a result of the study, the higher the satisfaction level, the satisfaction with class or job connection, and the self-development, the more positive the evaluation of program efficiency.

• 보건행정학회지
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• 제21권1호
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• pp.61-76
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• 2011

Limited research has investigated the satisfaction of patients with cancer. This study was performed to explore patients' satisfaction and the related factors. The data were collected by telephone survey for the participants who were beneficiaries on the national financial aid program for cancer patients between January and October in 2009. Student's t-tests and analysis of variance were performed first to determine if the mean satisfaction score differed by the characteristics of study objects, followed by stepwise multiple regression analyses to examine the factors affecting satisfaction. When comparing the relating factors with patients' satisfaction according to the sociodemographic characteristics, the male, old-aged, higher educated, lower cancer stage, lung cancer group showed a significantly higher level of recognition for satisfaction. A public health center, better public relations, recognized more helpful, don't have expectation, put a person to expense, and don't feel pressured for medical cost groups were showed a higher level of recognition for satisfaction. The result of the multiple regression analysis, short waiting time, well known program policy, recognized helping of policy and had the financial burden had significantly influence on the satisfaction of patients with cancer.