• 한국응급구조학회지
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• 제12권2호
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• pp.37-43
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• 2008

Purpose : It was to improve medical direction system through presenting need of doctor and paramedic in Korean Fire Service. Methods : This study was conducted by applying demand coefficients(4 for doctor, 3 or 4.5 for paramedic) to some data on medical director, paramedic, ambulance from National Emergency Management Agency. Results : Number of medical director & paramedic were 4 & 1,217. Number of necessary doctor for medical direction was 64 or 28(in case of direct medical direction) & 16 or 7(in case of indirect medical direction). Number of necessary paramedic for direct medical direction was 492(in case of 35% ALS ambulance) & 1,062(in case of 50% ALS ambulance). Conclusions : To improve quality & efficiency of medical direction brought up need of amendment of the Emergency Medical Services Act to apply indirect medical control such as standing orders, protocol, case review.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 추계학술대회 논문집(II)
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• pp.35-39
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• 2003

Effort has been given to improve demand forecast methodology of rail system since it can have great impact on project evaluation of rail system investment. However most of demand forecast softwares developed in western countries where concerns have been provided mostly to private transport and they should be updated in order to reflect our country's situation accurately. Therefore, this paper aims, especially focusing on rail system, to do comparison analysis of oversea's passenger demand forecast softwares and provide some ideas to develop the updated demand forecast system which enables to reflect our country's situation accurately. Main conclusions are that we will need to have well described model for real situation. So we will have to study for these aspects for travel demand forecasting system and develop the package architecture.

• 한국치위생학회지
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• 제22권1호
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• pp.63-72
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• 2022

Objectives: This study was conducted to prepare basic data to propose the necessity and utilization of oral welfare products in the welfare services of the long-term care insurance system, focusing on facility workers working in elderly facilities. Methods: The analysis was conducted on 144 workers working at some local elderly facilities. The questionnaire was constructed by classifying the use of oral welfare tools into 6 questions and the necessity and demand for oral welfare devices into 13 questions. Frequency analysis and technical analysis were performed for data analysis, and one-way ANOVA was performed for differences in the necessity and demand for oral welfare equipment. The statistical significance level was p<0.05. Results: As a result of examining the awareness of the necessity and demand for oral welfare equipment among workers in elderly facilities, the awareness of the necessity of including oral welfare equipment in the items of welfare equipment in the current long-term care insurance system was high at 4.15 points. As a result of analyzing the correlation between awareness of care products and the need and demand for oral welfare equipment, it was confirmed that there was a statistically significant positive correlation (p<0.01). Conclusions: In the long-term care insurance system for the elderly, oral welfare products need to be considered for welfare equipment services. The provision of oral welfare products within the long-term care insurance system for the elderly can provide opportunities and services to select various self-care tools. In addition, it is expected that it will be possible to promote changes in the long-term care insurance system for the elderly and to improve the system in a variety of positive ways.

• 보건행정학회지
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• 제25권1호
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• pp.53-62
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• 2015

Background: Supplier induced demand (SID) indicates the case when doctors increase the demand of the patients, following their (physicians') own best interests rather than patients'. This may occur when asymmetry of information exists between suppliers and consumers. This study aims to confirm whether SID exists in the Korean setting, particularly by dividing SID into both 'induced demand effect' and 'availability effect.' Methods: Induced demand effect and availability effect are differentiated following Carlsen & Grytten's theoretical frame which divides doctor density regions into high and low ones. Results: Positive correlation between doctors' density and utilization of their services was found, which could be interpreted as 'availability effect.' Conclusion: The result suggests that additional medical use for additional doctor, particularly in the area of low doctor density, can be interpreted to occur to meet the basic medical need of the people rather than as a result of unnecessary induced demand. It is important to make more medical doctors provided and to distribute them appropriately across the region in such a country like Korea where doctor's density is relatively low.

• Earthquakes and Structures
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• 제14권3호
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• pp.203-214
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• 2018

Predictive demand and collapse fragility functions are two essential components of the probabilistic seismic demand analysis that are commonly developed based on statistics with enormous, costly and time consuming data gathering. Although this approach might be justified for research purposes, it is not appealing for practical applications because of its computational cost. Thus, in this paper, Bayesian regression-based demand and collapse models are proposed to eliminate the need of time-consuming analyses. The demand model developed in the form of linear equation predicts overall maximum inter-story drift of the lowto mid-rise regular steel moment resisting frames (SMRFs), while the collapse model mathematically expressed by lognormal cumulative distribution function provides collapse occurrence probability for a given spectral acceleration at the fundamental period of the structure. Next, as an application, the proposed demand and collapse functions are implemented in a seismic fragility analysis to develop fragility and consequently seismic demand curves of three example buildings. The accuracy provided by utilization of the proposed models, with considering computation reduction, are compared with those directly obtained from Incremental Dynamic analysis, which is a computer-intensive procedure.

• 한국농촌건축학회논문집
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• 제19권3호
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• pp.33-41
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• 2017

Recently, it is recognized that the increase of return farmers is an important task to revitalize rural areas. There is a growing need to improve the housing environment in rural areas by expanding rental housing supply in order to increase return farmers. The purpose of the study is to forecast the rural rental housing demand based on the questionnaire survey and to suggest the rural rental housing supply in the public sector. The rural rental housing demand consists of demand for rural residents and demand for return farmers. The survey was conducted for rural residents and potential return farmers. The rural rental housing demand was analyzed by using prospect of rural residents and return farmers in the future and the rate of intention to move into rural rental house derived from the survey. In this study, rural rental housing demand which does not take into consideration the rent level and rural rental house demand considering it are presented respectively.

• 한국IT서비스학회지
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• 제14권4호
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• pp.185-197
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• 2015

As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.

• 정보관리연구
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• 제32권2호
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• pp.1-25
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• 2001

이 연구의 목적은 인터넷의 등장과 디지털 정보자원의 급증으로 변화하는 과학 기술 정보 환경에서 KISTI의 과학 기술 정보이용자의 정보수요와 정보추구 행태를 분석, 기술하는 것이다. 국내 산 학 연의 과학 기술정보이용자들에게 우편 배포한 설문에서 수집된 결과는 다양한 이용자층을 위한 과학 기술정보와 원문에 대한 개인 및 기관정보원을 위한 전문정보원이며 중개기관으로서의 KISTI의 역할 및 이용자의 수요에 기반한 서비스와 장서의 개발 방향을 재조명하였다. 주요한 발견은 과학 기술분야의 최근 및 영어권 학술지와 학회 회의자료등의 "on demand" 원문 수요, DDS의 개선과 확장에 대한 기대, 입수가 어려운 과학 기술 정보자원의 종합적인 수집 보존 유통 기능의 확장 필요 등을 포함하였다.

• 대한간호학회지
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• 제39권1호
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• pp.95-106
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• 2009

Purpose: The purposes of this study were to explore the functional status of elderly residents and to analyze time use, and finally identify factors to predict nursing care needs in relation to functional status and health related variables. Methods: In this study a descriptive-correlational design was used. Functional status of participants was obtained through interviews, and nursing care time was examined using a 1 min time-motion study with a standardized instrument developed by Korea Long-Term Care Planning Committee (2005). Results: The mean total functional score was 65 (range 28-125) and mean total nursing care time was 144.15 min per day. There were significant positive relationships between total nursing care time, marital status, back pain, dementia, and vision impairment. Multiple regression analyses showed that a liner combination of number of illnesses, types of primary disease, ADL, IADL, cognitive function, nursing demand, and rehabilitation demand explained 42.8% of variance of total nursing time. ADL (${\beta}$=-.533) was the most significant predictor of nursing service need. Conclusion: Identifying factors that result in variations of service need has implications for adequate nursing service, estimation of optimum nurse to patient ratio, quality of care and patient safety.

• Advances in Energy Research
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• 제5권1호
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• pp.57-64
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• 2017

Electricity is basic need for country development. But at the present time proper planning and policy is require at high pace for power generation network extension due to the increasing population growth rate. Present study aimed to analyze the present and future demand for electricity at household level in Province of Balochistan of Pakistan via simulation modeling. Data of year 2004-2005 was used as baseline data for electricity consumption to predict future demand of electricity at both rural and urban domestic level up to subsequent 30 years, with help of LEAP software. Basically three scenarios were created to run software. One scenario was Business-As-Usual and other two were green scenarios i.e., solar and wind energy scenarios. Results predicted that by using alternative energy sources, demand for electricity will be fulfill and will also reduce burden on non-renewable energy sources due to the greater potential for solar and wind energy present in Balochistan.