• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.233-235
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• 2001

This paper deals with frequency control of demand users that have power plants by under-frequency relay. The demand users supply electrical power to a part of their loads by their power plants and to other rest of their loads by utility. While electrical power supply is stopped by faults of utility network, the system of demand users network is separated from total power system and their system frequency goes below normal limits. In this paper, this situation and the effect of under-frequency relay application are simulated by EMTDC.

• Journal of the Korean Mathematical Society
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• v.33 no.1
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• pp.25-29
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• 1996

The Debreu-Gale-Nikaido theorem [2] is a potential tool to prove the existence of a market equilibrium price. Walras' law is of a quantitative nature (i.e. it measures the value of the total excess demand), and it is interesting to note that the existence result holds true under some qualitative assumptions. In fact, the Debreu-Gale-Nikaido theorem states that the continuity of the excess demand function and Walras' law has the following implication : For some price and corresponding value of the excess demand function, it is not possible to respond with a new price system such that the value at the new price of every element in the value of the demand function associated with the old price system is strictly positive.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.345-347
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• 2005

The electric demands increase, financial need for new power plant constructions and environmental problem have led to search for more efficient energy production and load management. To minimize the construction of power plants and reduce total power consumption include installation of demand controller to industrial applications. Accordingly to maximize the load control by the diffusion of demand controller, govermental economic supports as well as the analysis of energy saving effects. This paper presents the cost-effectiveness analysis for DSM program evaluation and case study to analyze demand controller DSM program.

• Health Policy and Management
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• v.29 no.3
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• pp.332-341
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• 2019

Background: This study analyzes the effects of the individual's health behavior on the health and the medical demand for the management of health and medical expenses. Methods: This study uses the Korea Health Panel Survey data from 2010 to 2015. We utilize the panel ordered logit model and the panel Tobit model with the subjective health status and the medical expenses as the dependent variables. Results: Chronic diseases would cause the deterioration of his or her health and the increase in medical expenses. Smoking and drinking alcohol would deteriorate one's health. The total amount of cigarettes increases medical expenses. Exercises could make people healthier, whereas excessive exercise might increase medical expenses. Private health insurance would increase medical expenses. Conclusion: Since health could reduce the medical expenses, people should promote one's health by changing one's behavior for health.

• Culinary science and hospitality research
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• v.3
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• pp.23-40
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• 1997

This study has been made on the basis of the theoretical model of Beeker's time allocation concerning housewives' advance into society-- a primary cause for enlargint the scope of our food service market and developing the food service industry as a whole. The primary purpose of this study is to clarify the close relationship between housewives' activities in the course of allocating their time and the demand for the food service through Beeker's theory of“Total income and Total price”, analyzing the information obtained through the questionaires sent to the housewives in metropolitan areas. The result of the questionaires shows that the demand of food service is closely related to women's market activities. Yet it has become clear that the demand for food service correlates with housewives' allocation of time in terms of sharing profits. As a result, it is true that the increase in housewives' income per hour has brought about the increase of the term of employment and the decrease in their cooking time, thus greatly increasing the opportunities to dine out. In order words, the increase of housewives' income and the decrease in their cooking time have come to make a great contribution to shortening the time needed to take care of family matters while increasing the demand for eating out, or food service. And it is also clear that the common practice to dine out is derived from the reduction in our domestic duties, indicating the choice of social division of labour, but is needs to be noted that the gradual increase in women's income is sure to have exerted a considerable influence on this practice of eating out.

• Korean Journal of Soil Science and Fertilizer
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• v.9 no.3
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• pp.201-210
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• 1976

Only 22.7% of total land area is arable land in Korea, it is anticipated that the increased land utilization of present arable land and enlargement of arable land through the reclamation of hillside and tidal land will be of great importance for the support of increased population in the future. Followings are the prediction of increased land utilization ratios, increased arable land through the reclamation of hillside and tidal land, and the increase] in fertilizer demand up to the year of 2000. 1. On the assumption that irrigation facilities, farm mechanization, and cropping systems would be improved remarkably by the year of 2000, the land utilization ratios of paddy land and upland are estimated to be 179% and 193% respectively. 2. Increments of fertilizer demand due to increased land utilization ratios, are estimated to be 2, 290 M/T in 1980, 70, 611 M/T in 1990, and 153, 619 M/T in 2000, when the amounts of fertilizers per unit area are fixed at present lrevels. 3. Increments of fertilizer demand due to the expansion of arable land through the reclamation of 516,330 ha of hillside land and 160,568 ha of tidal land, which are the present estimation of the reclaimable areas, are estimated as 32,960 M/T in 1980, 136,320 M/T in 1990, and 366,861 M/T in 2000. 4. Total increments of fertilizer demand due to the increased land utilization of arable land and the expansion of arable land through the reclamation of hillside and tidal lands in 2000's are estimated as 196,285 M/T for N, 147,351 M/T for $P_2O_5$, and 176,844 M/T for $K_2O$.

• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.472-479
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• 2024

Half of the world's total population lives in cities, continuous urbanization is progressing, and the urban population is expected to exceed two-thirds of the total population by 2050. To resolve this phenomenon, the Korean government is focusing on building a new urban air mobility (UAM) industrial ecosystem. Airlines are also part of the UAM industry ecosystem and are preparing to improve efficiency in safe operations, passenger safety, aircraft operation efficiency, and punctuality. This study performs demand forecasting using time series data on the number of daily passengers on Korean Air's Gimpo to Jeju route from 2019 to 2023. For this purpose, statistical and machine learning models such as SARIMA, Prophet, CatBoost, and Random Forest are applied. Methods for effectively capturing passenger demand patterns were evaluated through various models, and the machine learning-based Random Forest model showed the best prediction results. The research results will present an optimal model for accurate demand forecasting in the aviation industry and provide basic information needed for operational planning and resource allocation.

• Journal of Wetlands Research
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• v.22 no.2
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• pp.145-152
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• 2020

Highways are characterized by high non-point pollutant emissions due to high traffic volumes and sections that cause abrupt change in driving speed (i.e. rest stations, ticketing office, etc.). Most highways in Korea were constructed with layers that do not allow adequate infiltration. Moreover, non-point pollution reduction facilities were not commonly installed on domestic highways. This study was conducted to evaluate a facility treating highway runoff and develop a cost-effective design for infiltration facilities by using soil amendment techniques. Performing soil amendment increased the hydraulic retention time (HRT) and infiltration rate in the facility by approximately 30% and 20%, respectively. The facility's efficiency of removing non-point pollutants (Total Suspend Soiled (TSS), Chemical Oxygen Demand(COD), Biological Oxygen Demand(BOD), Total Nitrogen (TN) and Total Phosphorus, (TP) were also increased by 20%. Performing soil amendment on areas with low permeability can increase the infiltration rates by improving the storage volume capacity, HRT, and infiltration area. The application of infiltration facilities on areas with low permeability should comply with the guidelines presented in the Ministry of Environment's Standards for installation of non-point pollution reduction facilities. However, soil amendment may be necessary if the soil infiltration rate is less than 13 mm/hr.

• Korean Management Science Review
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• v.11 no.1
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• pp.51-58
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• 1994

The purpose of this study is to extend the current sensitivity analysis of the transportation problem. In this paper we present a systematic method to obtain the variation range of supplies or demands by introducing a dummy column or dummy row. By using this approach we can deal with the case of fixed demands, and the unbalanced problem that the total demand is greater than the total supply.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.693-700
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• 2024

As of the end of March 2022, the total area of domestic industrial complexes is 606 km2, which is only about 0.6% of the total land area. However, as of 2018, the annual energy consumption of domestic industrial complexes is 110,866.1 thousand TOE, accounting for 53.5% of the country's total energy consumption and 83.1% of the entire industrial sector energy consumption. In addition, industrial complexes have a significant impact on the environment, accounting for 45.1% of the country's total greenhouse gas emissions and 76.8% of industrial sector greenhouse gas emissions. Under this background, in this study, in order to contribute to the energy efficiency of industrial complexes, a prediction study on energy demand and supply for an industrial complex in Korea using machine learning was conducted. In addition, a simulator UI screen was designed to more efficiently convey information on energy demand/supply prediction results and energy consumption status. Among the machine learning algorithms, Multi-Layer Perceptron (MLP) was used, and Bayesian Optimization was applied as an optimization technique for the prediction model. The energy prediction model for the industrial complex built in this study showed a prediction accuracy of 87.90% for compressed air demand and 99.54% for the flow rate available for the public air compressor.