• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.264-269
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• 2006

Efficient load management on natural gas is strongly required to allow stable and reasonable energy use. The present study investigated domestic and international cases for demand management of natural gas. The directions of load management were discussed. The reasonable evaluation methods of demand management were analyzed and specific evaluation items were suggested.

• Journal of Information Management
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• v.29 no.2
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• pp.18-36
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• 1998

This project surveys and analyzes the utilization of domestic database from user's point of view to find out the problems and factors for improvements of that, and makes efficient use of the result of this project as basic data in producing databases. Also it surveys and analyzes information demand for PC telecommunication users and utilization of PC telecommunication, database, and internet to establish directions of the development for the domestic database industry.

• Journal of Smart Tourism
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• v.2 no.3
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• pp.31-38
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• 2022

Understanding demand for travel websites can help hoteliers better evaluate their own multi-channel distribution and reputation management strategies. In this study, we estimated demand for eight major travel websites based on the user percentage in 3,120 U.S. counties. Results highlighted the importance of four types of factors: sociodemographic, economic, Internet use-related, and travel-related. Differences between websites were also compared based on estimated coefficients. For example, the demand for Expedia.com appeared to be driven by age, education background, income, and foreign travel history, whereas the demand for Hotels.com was driven by the proportion of the African American population and domestic travel history. Lastly, implications are provided.

• Journal of Korea Foundry Society
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• v.1 no.3
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• pp.19-29
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• 1981

An emphasis has been placed on the importance of selecting a sand for furan sand process, which ie affected by the properties of sand. Investigations have been carried out to use the domestic artificial sands for the furan sand process. For laboratory investigations, the sands have been prepared and tested for chemical analysis, loss on ignition, sieve analysis, AFS grain fineness number, grain shape, PH value, acid demand, surface shape, theoretical surface area, moisture absorption, crushing durability and compressive strength and S. S. I. of molding sands. Most commercial sands have been found to be able to be used. The main requirement of the sands has been shown to be that 3 or 4 screen sands, AFS no.40-70 (or 100), of low acid demand, good surface area and good grain shape require less resin and catalyst to give an adequate strength.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.125-139
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• 1990

This paper presents a forecasting method for domestic demand of electric home appliances. Because of lack of data, some popular methods such as time series analysis may not be appropriate to forecast such a demand domestically. We suggest a systematic and practical method by considering structural parameters and variables which determine the actual demand. We use this model to forecast the demand of color TV. Since the parameters in our model may be variant according to the change of economic environment, our model leads the user to develop a dynamic model to be used in the well-known System Dynamics Approach.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.630-633
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• 2003

In domestic construction industry, now demand for airport facilities, gymnastic facilities, mass meeting facilities, sales facilities is increasing. Because of this, demand for huge space is also increasing. In making huge space, existing PEB(Pre-Engineered Building) and Pipe Truss, As span is lager and larger, steel weight is increasing and hard to apply for large span. For solving this problem, Many program was proposed, and in that Space Frame was rising. But in domestic construction there are very rare practical use for Space Frame. In this study, we wish to introduce Space Frame that has several advantages in construction expense, construction time, constructibility and also with analyzing example for applying Space Frame, wish to investigate characteristic of Space Frame. Go forward better, through comparison of other different old method and basic character of Space Frame, confirm advantage of Space Frame that have infinite development possibility and revitalize the Space Frame in domestic study and further more wish to raise practical use for Space Frame.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.255-258
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• 2006

Though the demand of foreign laborer in the labor market of domestic construction is increasing, systems for managing and supervising them are insufficient. The object of this study is to provide practical basic data to establish a system or a policy for efficient use of foreign laborers in the domestic construction industry. With the subjects of domestic laborers, who served in the domestic construction field, the actual state of using foreign laborers and the problems were investigated, and the existing employment system for foreign laborers and the recognition on plan for improving policy were analyzed

• Environmental Engineering Research
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• v.24 no.3
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• pp.412-417
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• 2019

This paper presents the results of using cold plasma to treat surface water for domestic use purpose. Experimental results showed that cold plasma was an effective method for destroying bacteria in water. After treatment with cold plasma, concentration of coliform and Escherichia coli dramatically reduced. Besides, cold plasma significantly removed water odor, increased dissolved oxygen and decreased the concentration of chemical oxygen demand. However, cold plasma significantly raised the concentration of nitrite and nitrate. Other disadvantages of treating with cold plasma were conductivity increase and pH reduction. Pretreatment steps of coagulation, flocculation, sedimentation and sand filtration followed by disinfection with cold plasma exhibited a high efficiency in surface water treatment. All parameters of surface water after treatment by using the prototype satisfied with the allowance standard of domestic water quality.

• Korean Journal of Agricultural Science
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• v.50 no.3
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• pp.539-549
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• 2023

Domestic processed food exports might increase due to the free trade agreement (FTA) and spread of the Korean Wave, Hallyu. However, the share of the domestic raw materials in the domestic processed food industry is very low at 31.4%, which limits the spillover effect on domestic agriculture. Therefore, we selected frozen dumplings as a representative processed food whose exports are growing rapidly and conducted a multiple regression analysis to examine the effects of Hallyu and FTA variables on the frozen dumpling exports. We tried to link them to an increase in agricultural income through the expansion of demand for the domestic raw materials. This study analyzed tariff indicator as the FTA variable, cosmetics export value indicator as the Hallyu Wave variable, and other variables expected to change the trade environment such as gross domestic product (GDP) and the relative exchange rate by country as the key explanatory variables that affect changes in the trade environment. The analysis showed that the core hypothesis, the Hallyu variable and the FTA variable, have a positive impact on frozen dumpling exports. Frozen dumpling exports are expected to increase as the FTAs and the spread of Hallyu are expected to continue for the foreseeable future. Therefore, we should seek ways to increase the proportion of domestically produced ingredients in the frozen dumplings to spread the economic impact to domestic agriculture. We reviewed previous studies and determined, the price-related factors play a major role in the use of imported ingredients, and that price stability and competitiveness are essential to increase the share of the domestically produced ingredients. Based on these conclusions, we reviewed the current status of food industry-related policies and determined measures needed to expand the use of domestically produced ingredients.