• Health Policy and Management
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• v.9 no.2
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• pp.40-54
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• 1999

The purpose of this study is to compare the health service utilization patterns between up and myun and to find the determinants of utilization. For this purpose. this study used different versions of utilization rates. such as crude utilization rates. utilization rates adjusted for population composition. and age-sex adjusted utilization rates. Data used in this analysis were the Community Health Interview Survey which was conducted by interviewing 741 households from August 31 to September 11, 1998 in HongCheon-Gun. KangWon-Do. The major findings of the analysis are summarized as follows: 1. There was a statistically significant difference in the level of health service utilization between up and myun. Depending upon the unit of analysis employed (those who were interviewed vs those who were sick). the difference between up and myun was reversed. 2. Determinants of health service utilization are analyzed using logistic regression. The result showed that predisposing factor influenced health service utilization in rural areas, while the enabling factor didn't.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.65.1-65.1
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• 2010

KPX(Korea Power Exchange) has been supervising FIT(Feed-in-tariff) for renewable energy power plants and supported 289MW photovoltaic power plants with Electric Power Industry Basis Fund in 2009. In this paper, we'll analyze utilization factor of these PV power plants in 2009 and for the latest 3 years and finally utilization factor of other renewable energy power plants in 2009.

• Health Policy and Management
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• v.4 no.2
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• pp.58-76
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• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.

• Tunnel and Underground Space
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• v.29 no.5
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• pp.356-366
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• 2019

Various TBM performance prediction models have been developed and most of them were considered penetration rate only. Despite the fact that some models have suggested equations and charts for estimating the utilization factor, but there are a few studies to estimate the TBM utilization factor. Utilization factor is affected by the type of TBM machine, operation, maintenance of machine, geological conditions, contractor experience and other factors. In this study, more than 100 case studies are analyzed to determine the relationship between the utilization factor and RMR, geological conditions, TBM types, tunnel length, and TBM diameter. Simple and multiple linear regression analysis are performed to develop predictive models for the utilization factor. The predictive model with explanatory variables of geological conditions, TBM types, tunnel length, and TBM diameter does not give a good correlation. The predictive models with explanatory variable of RMR give higher values of the coefficient of determination.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.385-395
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• 1996

This study intends to examine the behavioral pattern and small area variations of health service utilization within Wonju city. We selected three small areas in Wonju city as the study site: Haksung-dong(central area of the city), Moonmak-myun (industrial area which is located 25km away from the center of the city), and Gure-myun (agricultural area which is located 32km away from the center). The data were collected by administering questionnaire interviews with 526 people in three areas. The questionnaire include the items on health service utilization behaviors, sociodemographic characteristics, health status, and perceptions. The statistical methods used for the analysis were ANOVA and hierarchical logistic regression. From the analysis, it was found that there was a variation of health service utilization by areas. Compared to those of other areas, the respondents from agricultural area showed a high probability of using health services. When respondents' personal characteristics were taken into account, the effect of dummy variables representing areas disappeared. Instead, the perceived health status became the prime factor of health service utilization. This result showed that the small area variations of health service utilization is due to the demand factor rather than the supply factor.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.18 no.2
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• pp.87-100
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• 2022

Unit capacity factor (utilization rate) of nuclear power plants (NPPs) is an important performance indicator. Since the first commercial operation of Kori Unit 1 began in April 1978, the utilization rate of domestic NPPs has gradually increased, reaching 90% from the end of the 1990s. However, due to various issues such as the Fukushima accident in 2011, corrosion of the CLP, the utilization rate dropped to 65~80%. In the early 1980s, the utilization rate of the U.S. NPPs was around 60%. However, since 2004, it has been consistently maintained above 90%. Therefore, in this study, we first examined the causes of declining the utilization rate in domestic NPPs. Next, the significances of the utilization rates are reviewed in five aspects: investment capability, electricity rate, safety and export, etc., with discussion on the current status of the utilization rates in the U.S. Based on this, three key factors are derived as the reasons of the increasing: equipment reliability program, on-line maintenance and the pursuit of institutional rationality. And finally, by synthesizing above results, the measures for increasing the utilization rate of domestic NPPs are proposed in terms of equipment management, institutional improvements, and personnel resources.

• The Korean Journal of Health Service Management
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• v.6 no.1
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• pp.77-86
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• 2012

Objective of the study represents experiences of medical utilization of Psychiatric Outpatients. This research draws on information obtained from the 2008 National-wide sampling study of the Korean Healthcare Panel(KHP) conducted. The results of our study suggest the significance of variables such as the gender(p<.001) in the social demographical characteristics, the medical security type(p<.016), medical institution utilization(p<.012) treatment type(p<.004) in the utilization factors. In the case of medical utilization cost, the financial support factor(p<.018) showed a significant relationship. Depending on the particularities of gender, medical security type, financial support, medical institution utilization, treatment type were determined through a multiple logistics regression analysis. Gender showed that, among Psychiatric outpatient age of 30-59 level was 5.358 times and 60 years and older, their the second medical examination level was 4.490 times higher than Psychiatric outpatients under the age of 29. Health insurance type showed for the others medical allowance was 6.712 times higher than job health insurance and the other treatment was 0.395 times lower than drug treatment. Psychiatric outpatients utilization are rooted in the thoughts and factor levels of the Psychiatric patients and must be understood from the Psychiatric outpatients's perspective. The point is not only to gauge the patients research during Psychiatric medical utilization. The important of social community mental healthcare services levels goes beyond the goal of enhancing healthcare.

• Journal of dental hygiene science
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• v.15 no.1
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• pp.67-76
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• 2015

This study aims to determine the factors affecting the dental service utilization of adults. The subjects in this study were 455 adults, whom a survey was conducted form May 7 to June 7, 2013. Statistical verification conducted through PASW Statistics was 18.0. The difference in the distribution of independent variables related with the dental service utilization was verified with chi-square test. Relevant factors were determined using Hierarchical logistic regression analysis. Model I is predisposing factor, Model II is predisposing factor and enabling factor. Model III is predisposing, enabling, need factor. Andersen model factor which infuences dental service utilization of adults resulted that use dental floss (OR, 2.32; CI, 1.39~3.86), use electric toothbrush (OR, 2.98; CI, 1.0~8.89), use interdental brush (OR, 2.55; CI, 1.36~4.78), self-efficacy (OR, 0.68; CI, 0.48~0.96), barriers (OR, 1.45; CI, 1.04~2.04). Predisposing factor and need factor were found to be determinants for dental service utilization in adult.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.7
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• pp.303-308
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• 2001

This paper presents algorithm to plan construction and expanding of substation considering contingency accidents by proposing utilization factor according to configuration of substation bank system. In this paper, firstly, proper sphere of supply area by each district which could be standardized with respect to its supply capacity is established under assumption of long term load forecasting. Secondly, goal of utilization ratio based on configuration of substation bank was set to keep reliability by remaining sound bank when it happen to one bank accidents. Finally, it is set up for optimal construction and expanding of substation considering economy and reliability simultaneously about substation to exceed these ratio. To verify proposed algorithm, at first, after adopting a part of Kangnam area in Seoul as area for testing, it is divided into several regions for this area according to power branches of power utility. Secondly, by deriving correlation factor between load demand and economic indicators in these region respectively, the regional load forecasting was performed with economic growth and city plan scenario. Finally, based on the predicted load demand by region and land use data which is identified from air-photographic, the load demand by district was predicted. Also, planning for substation considering contingency is formulated to expand taking into account computing utilization factor which is based on configuration of substation bank respectively.

• Journal of the Korean Solar Energy Society
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• v.28 no.6
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• pp.70-77
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• 2008

The purpose of this study evaluates a feasibility and economical efficiency of new renewable energy. According as weather change is serious problem now days, every people make attention to the reduction of greenhouse gas. The revitalization of new renewable energy creates the variety of energy source, stability of energy supply and reduction of greenhouse gas. In this study evaluates a feasibility and economical efficiency from new renewable energy of various photo voltaics, wind power, small hydro and biogas. Feasibility does in standard of technical characteristic, politic support, marketability, establishment present condition and development aim. Economical efficiency does in standard of developmental unit cost, utilization factor, equipment life, politic support cost, interest ratio. The results of this study were as follows photo voltaics, wind, small hydropower, biogas in order feasibility is high. Developmental unit cost, utilization factor, equipment life, politic support cost and analyzed the relationship of interest ratio fluctuation and economical efficiency. From all new renewable energy the utilization factor most is important in economical efficiency but necessary utilization factor is difficult because environmental problem.