• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.581-584
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• 2019

Food consumption is growing worldwide every year owing to a growing population. Hence, the increasing population needs the production of sufficient and good quality food products. Strawberry is one of the world's most famous fruit. To obtain the highest strawberry output, we worked with three strawberry varieties supplied with three kinds of nutrient water in a greenhouse and with the outcome of the strawberry production, the highest yielding strawberry variety is detected. This Study uses the nutrient water consumed every day by the highest yielding strawberry variety. The atmospheric temperature, humidity and CO2 levels within the greenhouse are identified and used for the prediction, since the water consumption by any plant depends primarily on weather conditions. Machine learning techniques show successful outcomes in a multitude of issues including time series and regression issues. In this study, daily nutrient water consumption of strawberry plants is predicted using machine learning algorithms is proposed. Four Machine learning algorithms are used such as Linear Regression (LR), K nearest neighbour (KNN), Support Vector Machine with Radial Kernel (SVM) and Gradient Boosting Machine (GBM). Gradient Boosting System produces the best results.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.5
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• pp.379-390
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• 2003

The daily food intake and its related factors of the elderly(aged over 60) living in Incheon were compared. Self administered questionnaires were collected from 418 elderly. Statistical data analysis was completed using a SPSS v. 10.0 program. The results are summarized as follows: About 70% of elderly took grains and starch foods relatively high. The daily intakes of them was significantly influenced by ages of elderly, self-perceived health status, degree of drinking, meal regularity and nutritional balance of meals. More than 80% of elderly responded to take the food group of meat, fish and eggs poorly. Among various factors, the residence type and snack intake frequency influenced the daily intake of those foods statistically. A half of elderly took the vegetables and fruits everyday more than average. The daily consumption of vegetables and fruits was significantly influenced by sex, ages, exercise, snack intake frequency and preference of spices. Most elderly consumed fewer servings of milk and dairy products. About 60% of them did not take milk and dairy products daily. The daily contribution of those foods was significantly influenced by residence and exercise. 45.5% of elderly took oils and sugars more than average everyday which was influenced significantly by residence, exercise, snack intake frequency and meal regularity. In conclusion, the important influencing factors on the daily food intakes of elderly might be related to ages, residence, family, smoking, drinking, exercise, snack intake frequency and meal regularity. Therefore, a situation-oriented and practically organized nutrition education and ingestion support programs which consider the elderlies' socioeconomic status may help to improve the daily food intake of elderly in Incheon area.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.4
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• pp.415-427
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• 2008

The present study was conducted to survey the daily and speciality meals consumed by middle-aged residents of Gang-hwa. The data were analyzed by determining the frequencies at which daily and specialty meals were consumed with respect to the quantitative and qualitative data. The subjects mainly consumed Japgok-bap 28.6%, kong-bap 25.0%, ssal-bap 20.5%. The daily meals consumed included juk, 3 kinds; guksu 11 kinds; mandu, 2 kinds; tang and malgeon-guk, 37 kinds; doenjang-guk, 10 kinds; goum-guk, 13 kinds: naeng-buk, 4 kinds; jjigae, 23 kinds; jjim, 12 kinds; gui, 29 kinds; jeon 22 kinds; jijim, 3 kinds; namul, 33 kinds; saengchae, 6 kinds; japchae, 1 kind; jorim, 29 kinds; sun, 1 kind; bokkeum, 7 kinds; hoe, 2 kinds; ssam, 4 kinds; muchim, 5 kinds; jaban, 1 kind; jokpyun pyunyuk, 1 kind; bugak, 14 kinds; twigim, 1 kind; and muk, 4 kinds. The subjects prepared jangachi(272, 81%), jeot-gal (143, 42.6%), dried food (75, 24.4%), storage food (116, 36.1%), liquor (54, 16.1%), and tteok(162,48.2%) in their homes. There were 62 kinds of speciality food and 75 kinds of food inherited foods from the subject's mother or passed down from the husband's mother to daughter or daughter-in-law in Ganghwa. Therefore, we need to preserve and develop our traditional foods and our traditional cooking methods far our future generations.

• Journal of Wetlands Research
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• v.24 no.3
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• pp.161-169
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• 2022

In this study to estimate suitable size of rain tank in Suwon district, monthly rainfall, daily rainfall duration curve and daily rainy days have been analyzed. Annual rainwater consumption and daily average amount of storage with respect to size of rain tank have been calculated by applying continuity equations that take account of daily rainfall, daily consumptive use, storage of rain tank, It has been shown that above 50 mm of rainfall in the ordinance related to reclamation water may be inappropriate regulation if annual amount of rainfall captured, efficiency of utilized rainwater, number of days for utilized rain tank, daily average amount of storage and daily consumptive use have been considered. Thus, it has been shown that suitable size of rain tank should be determined considering reasonable daily consumptive use with respect to district, constructed cost of rain tank and benefit of rain tank constructed.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.161-171
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• 2019

Varied methods have been researched continuously because the past as the daily maximum electricity demand expectation has been a crucial task in the nation's electrical supply and demand. Forecasting the daily peak electricity demand accurately can prepare the daily operating program about the generating unit, and contribute the reduction of the consumption of the unnecessary energy source through efficient operating facilities. This method also has the advantage that can prepare anticipatively in the reserve margin reduced problem due to the power consumption superabundant by heating and air conditioning that can estimate the daily peak load. This paper researched a model that can forecast the next day's daily peak load when considering the influence of temperature and weekday, weekend, and holidays in the Seasonal ARIMA, TBATS, Seasonal Reg-ARIMA, and NNETAR model. The results of the forecasting performance test on the model of this paper for a Seasonal Reg-ARIMA model and NNETAR model that can consider the day of the week, and temperature showed better forecasting performance than a model that cannot consider these factors. The forecasting performance of the NNETAR model that utilized the artificial neural network was most outstanding.

• Journal of Nutrition and Health
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• v.29 no.10
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• pp.1121-1131
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• 1996

The nutritional status is America has been monitored by National Monitoring System since 1960's, mainly conducted by United States Department of Agriculture. The data from these programs were computerized and distributed to researchers. Researchers have manipulated and recalculated the data to produce meaningful results. Korean nutritional status has been investigated by National Nutrition Survey ever year, including food consumption, biochemical measurements and demographic variables. The Korean Nutritional Survey has not been organized and integrated as much as the nutritional survey in the United States and its results have been presented no more than as a report. Its raw data should be distributed to researchers and researchers could use the data to get more information. The purpose of this study is to compare the measurement of food consumption in Korean and America using Korean Nutrition Survey and Continuing Survey of Food Intake by Individuals(CSFII), respectively, and to compare the consumption of fat and foods with a high fat content. The fat consumption in the Unite States has been decreased from more than 40% of total energy intake to 35%, while Koreas have consumed more fat according to the economic growth. However, the fat consumption in Korea was still much lower than that in the United States. Korean should pay attention to saturated fat consumption(animal fat), especially rich middle aged men, since they ate meat as much as much as men in the United States according to a recent study. In America availability of food with a low fat content(e.g. low-fat milk) and new recipes along with nutritional education has decreased fat consumption, especially animal fat, any more. Also, each consumption of polyunsaturated fat and saturated fat should be measured since the ratio of them are more important for preventing heart disease and some cancers.

• Journal of Aquaculture
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• v.12 no.3
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• pp.247-254
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• 1999

Changes of oxygen consumption of Nile tilapia in relation to different body sizes(average body weight 4 g, 40 g, 120 g and 400 g) and water temperatures ($20^{\circ}C$, $25^{\circ}C$ and $30^{\circ}C$) were investigated by a continuous oxygen monitoring system. Mean oxygen consumption of 4 g, 40 g, 120 g and 400 g Nile tilapia at $20^{\circ}C$ were 318.8, 214.9, 84.1 and 69.4 mg $O_2$/kg fish/hr and that at $25^{\circ}C$ were 435.2, 345.9, 151.5 and 115.9 mg $O_2$/kg fish/hr, and that at $30^{\circ}C$ were 611.1, 538.4, 320.8, and 236.0 mg $O_2$/kg fish/hr, respectively. Oxygen consumption per unit body weight tended to decrease exponentially at all temperatures (P<0.05) as body weigth of the fish increased. Oxygen consumption of this fish at $25^{\circ}C$ was $1.61\pm0.18$ times higher than that at $20^{\circ}C$ and oxygen consumption at $30^{\circ}C$ was $1.53\pm0.27$ times higher than that at $25^{\circ}C$. Oxygen consumption per unit body weight linearly increased with the water temperature increased. Also, oxygen consumption of this fish during day time was higher than that during night time at 12L:12D day light condition. The differences between maximum and minimum daily oxygen consumption of this fish increased with the water temperature increased.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.457-466
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• 2016

To achieve eco-friendly hospitals it is necessary to empirically verify the effect of meteorological factors on the power consumption of the hospital. Using daily meteorological big data from 2009 to 2013, we studied the weather conditions impact to power consumption and analyzed the patterns of power consumption of two hospitals. R analysis revealed that temperature among the meteorological factors had the greatest impact on the hospital power consumption, and was a significant factor regardless of hospital size. The pattern of hospital power consumption differed considerably depending on the hospital size. The larger hospital had a linear pattern of power consumption and the smaller hospital had a quadratic nonlinear pattern. A typical pattern of increasing power consumption during a hot summer and a cold winter was evident for both hospitals. The results of this study suggest that a hospital's functional specificity and meteorological factors should be considered to improve energy savings and eco-friendly building.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1115-1120
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• 2016

This paper presents the daily load forecasting for special days considering the rate of operation of industrial consumers. The authors analyzed the power consumption pattern for both the special and ordinary days according to the contract power classification of industrial consumers, and selected 400~600 specific consumers for which the rates of operation during special days are needed. Load forecasting for 2014 special days considering the rate of operation of industrial consumers showed a noticeable improvement on forecasting error of daily peak demand, which proved the effectiveness of the survey for the rates of operation during special days of industrial consumers.

• Journal of Nutrition and Health
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• v.30 no.1
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• pp.48-60
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• 1997

The purpose of this study was to evaluate alcohol consumption and nutritional status in patients with alcoholic liver disease. The subjects were 80 patients with alcoholic liver cirrhosis and 12 patients with alcoholic fatty liver. Also 57 alcoholics without liver disease, 32 patients with viral liver cirrhosis and 194 normal men were included as control groups. Data on anthropometric index, socioeconomic status, alcohol consumption, dietary habits and dietary intakes were collected by individual interview. Alcoholic liver disease group had significantly lower triceps skinfold thickness and mid-uppr-arm circumferences than other groups. Socioeconomic status of alcholoci subjects was middle class or lower than that. The amount, duration and frequency of alcohol consumption were significantly higher and the quality of side dishes consumed with alcoholic beverage was significantly poorer in patients with alcoholic liver cirrhosis than others. Patients with alchololic liver disease ingested approximately 40% of daily caloric intake as alcohol and all alcoholic subjects had lower average intakes of protein, carbohydrates, fat, vitamins and minerals as compared with Korean adult average intakes. The results suggest that alcohol and poor dietary intake could cause malnutrition and might be two of the important risk factors to develop alcoholic liver disease in alcoholics. But other factors like genetic and immunological factors should be also considered in elucidating the causes of alcoholic liver disease. An extensive nutritional education should be emphasized for alcohol consuming population to prevent development of alcoholic liver disease.