• 보건행정학회지
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• 제3권1호
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• pp.146-168
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• 1993

The study was conducted to project supply and demand of the nurses till year 2010 based on analysis of supply and demand of nurses up to year 1991. Results of the study will provide invaluable information for nurses manpower planning as well as overall health manpower planning for the 21th century. It is projected that nurses will be oversupplied based on the current prductivity which is undesirable situation if the quality of care is considered, and undersupplied based on the the medical law as well as optimal productivity. Thus, it is desirable to increase active supply of nurses. One of the ways of increasing active supply would be increasing the size of training and education. But, considering low employment rate of nurses which is about 59% better way of solving problems related to nurses shortage would be improvement in nurses' employment rate. According to simulation study done as part of this study, if nurses' employment rate goes up to 80%, there is no need for increasing the size of training to meet the demand at the level of medical law.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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• pp.41-43
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• 2002

The contracted electric power and the demand factor of customers are used to predict the peak load in distribution transformers. The conventional demand factor was determined more than ten years ago. The contracted electric power and power demand have been increased. Therefore, we need to prepare the novel demand factor that appropriates at present. In this paper, we modify the demand factor to improve the peak load prediction of distribution transformers. To modify the demand factor, we utilize the 169 data acquisition devices for sample distribution transformers in winter, spring summer. And, the peak load currents were measured by the case studies using the actual load data, through which we verified that the proposed demand factors were correct than the conventional factors. A newly demand factor will be used to predict the peak load of distribution transformers.

• 대한안전경영과학회지
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• 제2권4호
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• pp.139-151
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• 2000

Developing a new commercial product, it is need to connect the end users demand of quality to the industrial technology of company. For this reason, this study is to build up the users demand for the imminent marketing product of a certain company by Analytic Hierarchy Process, analyze quantitatively users subjective thoughts collected by Group Consensus, calculate the added-value of users demands and verify the consistency of users opinions by consistency-exponential-calculation. The added value obtained by this method is substituted into a user-demand item of Quality Function Deployment. And, the technical characteristic data transferred from the extracted essential factor for developing and manufacturing a new product is substituted into a technical characteristic item of QFD. The faculty of quality is firstly finished by this procedure. But, because the relation a technical characterization with users demand do not be known in new product, Wassermans method was introduced for the correlation users demand with technology and for the processing and marketing of a new product. The all assumption on this thesis was based on the reliable real data of a certain company.

• 한국인공지능학회지
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• 제10권1호
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• pp.27-32
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• 2022

As the need for eco-friendly transportation increases due to the deepening climate crisis, many local governments in Korea are introducing shared bicycles. Due to anxiety about public transportation after COVID-19, bicycles have firmly established themselves as the axis of daily transportation. The use of shared bicycles is spread, and the demand for bicycles is increasing by rental offices, but there are operational and management difficulties because the demand is managed under a limited budget. And unfortunately, user behavior results in a spatial imbalance of the bike inventory over time. So, in order to easily operate the maintenance of shared bicycles in Seoul, bicycles should be prepared in large quantities at a time of high demand and withdrawn at a low time. Therefore, in this study, by using machine learning, the linear regression algorithm and MS Azure ML are used to predict and analyze when demand is high. As a result of the analysis, the demand for bicycles in 2018 is on the rise compared to 2017, and the demand is lower in winter than in spring, summer, and fall. It can be judged that this linear regression-based prediction can reduce maintenance and management costs in a shared society and increase user convenience. In a further study, we will focus on shared bike routes by using GPS tracking systems. Through the data found, the route used by most people will be analyzed to derive the optimal route when installing a bicycle-only road.

• Perspectives in Nursing Science
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• 제12권1호
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• pp.23-32
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• 2015

Purpose: This study attempted to estimate the need for home visiting nurse at public health centers. Methods: A model was generated to estimate a community's home visiting health service needs in 16 regions and a workload analysis was adopted to estimate the number of required Nurses. Data were collected from 16 public health centers using the South Korean government's open-information systems. Subjects were divided into three groups: vulnerable social group, bottom 10% income group, and bottom 20% income group. Results: The analysis revealed that 2,158 and 6,667 nurses were needed to provide home visiting health service for the bottom 10% and 20% income groups, respectively. It was estimated that for the vulnerable social group, 10,336 nurses were needed to provide home visiting health service, implying that the need-based demand for nurses is well over 5 times the number currently employed. Conclusion: The results indicate that the number of currently employed nurses is insufficient for the health management of vulnerable social groups. The government should consider active employment policies to encourage nurses to apply for home visiting health service.

• 에너지공학
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• 제16권2호
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• pp.53-57
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• 2007

High oil prices and high demand supporting IOC move to frontier and NOC evolution. Most frontier area reserves are in NOC territory. IOCs need to be able to manage relationships with NOCs in order to be successful. They need to tune into what NOC priorities are. NOCs have different priorities depending on whether they are resource rich or resource poor. IOCs need to recognize $NOCs^{\circ}{\emptyset}$ priorities and differentiate themselves by using them when talking to NOCs.

• Earthquakes and Structures
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• 제19권5호
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• pp.379-393
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• 2020

The purpose of this study is to first evaluate the seismic behavior of ageing arch bridges by using the Intensity Measure - based demand and DCFD format, which is referred to as the fragility-hazard format. Then, an investigation is performed for their seismic vulnerability. Analytical models are created for bridges concerning different features and these models are subjected to Incremental Dynamic Analysis (IDA) analysis using a set of 22 earthquake records. The hazard curve and results of IDA analysis are employed to evaluate the return period of exceeding the limit states in the IM-based probabilistic performance-based context. Subsequently, the fragility-hazard format is used to assess factored demand, factored capacity, and the ratio of the factored demand to the factored capacity of the models with respect to different performance objectives. Finally, the vulnerability curves are obtained for the investigated bridges in terms of the loss ratio. The results revealed that decreasing the span length of the unreinforced arch bridges leads to the increase in the return period of exceeding various limit states and factored capacity and decrease in the displacement demand, the probability of failure, the factored demand, as well as the factored demand to factored capacity ratios, loss ratio, and seismic vulnerability. Finally, it is derived that the probability of the need for rehabilitation increases by an increase in the span length of the models.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 A
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• pp.530-532
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• 2002

The contracted electric power and the demand factor of customers are used to predict the peak load in distribution transformers. The conventional demand factor was determined more than ten years ago. The contracted electric power and power demand have been increased. Therefore, we need to prepare the novel demand factor that appropriates at present. In this paper, we modify the demand factor to improve the peak load prediction of distribution transformers. To modify the demand factor, we utilize the 169 data acquisition devices for sample distribution transformers. The peak load currents were measured by the case studies using the actual load data, through which we verified that the proposed demand factors were correct than the conventional factors. A newly demand factor will be used to predict the peak load of distribution transformers.

• 아동학회지
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• 제28권5호
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• pp.285-296
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• 2007

The purpose of this study was to estimate the future demand for certified teachers at childcare centers. This is an essential step to secure the supply of childcare teachers in the future. To achieve this purpose, the demand for childcare teachers from 2006 to 2020 were estimated using time series techniques with data on the number of childcare teachers from 2002 to 2005. According to time series estimates, the demand for childcare teachers is expected to increase steadily from 1,224 to 1,956 annually. This illustrates the need for mid-term and long-term planing in order to guarantee an adequate supply of childcare teachers.

• 전기학회논문지P
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• 제66권1호
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• pp.7-14
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• 2017

Recently, the power consumption of industrial consumer has increased rapidly, causing problems such as lack of power reserve margin in summer and winter, and therefore there is a growing need for maximum demand power management to consumers. In this paper, we studied small microgrid system consisting of battery ESS and photovoltaic power system, applied to small and medium sized factories to reduce the maximum demand power of daily industrial power load. To verify the validity of the study, we simulated a small microgrid system using Matlab/Simulink software. As a result of applying the simulation to small and medium sized plants that consume a lot of power, it is confirmed that there is a 13% reduction in demand compared to the existing maximum demand power. This result is expected to contribute to the improvement of the power reserve margin.