• Journal of Information Processing Systems
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• 제13권2호
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• pp.285-304
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• 2017

Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

• 대한지역사회영양학회지
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• 제4권2호
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• pp.157-165
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• 1999

This study was conducted to identify the determinants of regional body fat distribution of obesity(upper body obesity and lower body obesity) for adolescents. The macronutrient consumption pattern utilized the most important variables to test for potential determinants. A total of 726 adolescents living in rural areas in Korea had been observed for four years from 1992 to 1996 about their diet, sexual maturation, serum components and physical growth. The study design was similar to that of a case control study. Logistic regression analysis were used as an analytical method to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the risk factors. Fat consumption pattern was the most frequent one among the three macronutrient consumption pattern of carbohydrate, fat and protein. Prevalence of obesity for the subjects was 9.5%. Prevalence of upper body obesity was higher in malestudents than in female students. On the other had, prevalence of lower body obesity was higher in females. The results of the logicstic regression analysis showed that the risk factor for upper body obesity was sexual maturity rather than dietary factors. None of the factors included in the analysis for lower body obesity appear to be the risk factor. The result may suggest that to develop a determinant model for obesity of adolescents, the model should include a wider range of variables other than diet, sexual maturity and changes in blood serum.

• Asian-Australasian Journal of Animal Sciences
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• 제17권3호
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• pp.371-373
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• 2004

A total of sixty 67 week-old Manina White strain laying hens were individually housed in cages to investigate feed consumption pattern during the day in relation to time of oviposition. Hourly feed intake and time of oviposition were recorded for each bird for seven days. Mean hourly feed intake of all hens showed a smaller peak at 10:00-12:00 and a larger peak at 17:00-19:00. There were no significant differences in amount of daily feed consumption and hourly eating pattern between egg-laying days and non-laying days. However, hens consumed about 10 g more feed (p<0.01) on egg-forming days (the day before oviposition) than on non-eggforming days. Hourly feed intake decreased prior to oviposition, but increased immediately during the time of oviposition. The peak consumption during the evening hours (17:00-19:00) was consistent regardless of the time of oviposition.

• 한국식생활문화학회지
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• 제13권2호
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• pp.83-89
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• 1998

The aim of this study were to assess high school students' consumption pattern of Korean rice cakes and to analyze the preference of them by students' demographic backgrounds. Self completed questionnaires were collected from 672 high school students in Seoul area. A questionnaire consisted of three parts including demographic backgrounds, student's consumption pattern and preference of Korean rice cakes by type. Statistical data analysis was done using the SPSS/PC program for descriptive analysis, t-test and $X^2$ test. Approximately half of the students were male(52.6%) with the average age of 16.7 The consumption frequency rate showed that 41.6% students had Korean rice cake once a week followed by once or twice a month(39.1%), once per six months(11.0%), and once per two months(8.3%) Ingeolmi received the highest preference score(4.28), whereas Duteopteok had the lowest score(0.18).

• 한국대기환경학회지
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• 제28권4호
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• pp.466-476
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• 2012

This study calculated monthly and sectoral (for industry, energy industry, transport, residential, commercial and public sectors) greenhouse gas (GHG) emissions of Seoul, Korea from 1999 until 2009 with following the IPCC 2006 Guideline for National Greenhouse Gas Inventories through an analysis on available monthly data of fossil fuel and electricity consumption for the period. The time series analysis showed that GHG emissions had significant cyclical pattern season by season with the highest peak in August and the lowest peak in January throughout the period. The analysis on monthly and sectoral energy consumption showed that residential, commercial and public sectors had emitted about 65% of total GHG emissions of Seoul and had consumed more energy in winter for heating. About 30% GHG of Seoul was emitted from transport sector but its monthly energy consumption showed irregular pattern and it consumed 80% petroleum (in 2009) of Seoul. Hopefully together with further study on this subject, it is expected that this study can be used as basic data for various research regarding Greenhouse gas baseline emission, energy consumption pattern and estimation for future GHG emission of Seoul.

• 대한영양사협회학술지
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• 제19권2호
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• pp.124-139
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• 2013

Unlike studies of Europeans and Americans, many epidemiological studies of the Korean population have indicated that their risk for cardiovascular disease does not decrease with a vegetable-rich diet. The different dietary practices of Koreans, who consume salted vegetables instead of fresh vegetables (common in the Western diet), has been suggested as a reason for this observation. Korea is in a period of rapid epidemiologic transition, which includes dietary and disease patterns; therefore, this study investigated differences in the food consumption pattern and blood lipid profiles of Koreans compared to Europeans and Americans. The identification of dietary patterns related to blood lipid abnormalities was carried out using the 2007~2009 Korean National Health and Nutrition Survey data from 14,056 subjects. Dietary patterns were analyzed according to food group and nutrient intake. Blood lipid abnormalities were classified into three groups: hypercholesterolemia, hypertriglyceridemia, and low HDL cholesterolemia (hypo-HDL-cholesterolemia). The prevalence of hypercholesterolemia, hypertriglyceridemia, and hypo-HDL-cholesterolemia was 12.4%, 16.2%, and 27.7% respectively. In our analysis, the low consumption of all food groups was related to hypercholesterolemia. The high consumption of vegetable-containing foods, alcoholic beverages, and the low consumption of milk products were associated with hypertriglyceridemia and hypo-HDL-cholesterolemia. Thus, unlike Europeans and Americans, the low consumption of all food groups is related to hypercholesterolemia and a low consumption of milk products is related to hypertriglyceridemia and hypo-HDL-cholesterolemia. Dietary pattern might play a role in epidemiologic transition of Korean. Also, this study implies necessity of further research using longitudinal data.

• KIEAE Journal
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• 제12권2호
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• pp.77-82
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• 2012

Data mining is to discover problems in the large amounts of data. Also, data mining trying to find the cause of the problem and the structure. Building energy consumption patterns, the amount of data is infinite. Also, the patterns have a lot of direct and indirect effects. Discussion is needed about the correlation. This work looking for the cause of energy consumption. As a result, energy management can find out the issue. Building energy analysis utilizing data mining techniques to predict energy consumption. And the results are as follows: 1) Using data mining technique, We classified complicated data to several patterns and gained meaningful informations from them. 2) Using cluster analysis, We classified building energy consumption data of residents and analyzed characters of patterns.

• 한국식생활문화학회지
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• 제33권4호
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• pp.299-306
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• 2018

Pork is a popular meat consumed in Korea. However, the consumption pattern has typically focused on preferred parts, like pork belly, which is usually broiled. This consumption pattern has increased both stocks of low fat parts and medical costs, and has thereby disturbed pork industry growth and the national health welfare. Changing the consumption patterns of preferred parts and encouraging consumption of low fat parts will improve consumers' quality of life and also increase their benefits. Thus, this study estimated WTP (Willingness To Pay) for health funds among consumers who eat pork meat, considering the health benefits gained by consuming low fat parts and changes in preferred part consumption. The results of this study show that WTP is higher when consumers have a smaller family and a higher income; these consumers plan to increase intake of pork meat in the future and think that the promotion of low fat pork meat consumption is more important. The WTP for health funds is estimated to be 49won to 287won through Logit Model. The health benefits of low fat consumption were estimated to be 92 billion won to 539 billion won per year. Therefore, reforming low fat pork consumption not only changes the traditional consumption pattern focused on preferred parts but also leads to a variety of benefits for consumers, including health benefits.

• 대한가정학회지
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• 제41권4호
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• pp.111-126
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• 2003

The purpose of this study was to investigate the clothing consumption pattern and satisfaction of the university students. 509 subjects were surveyed during the period of 2002, for statistical analysis, t-test, ANOVA(LSD), X²-test were used by SPSSWIN program. The results of this study were following; Number of clothing showed significant difference according to sex, income, and major Female students had more clothes than male students, but female student was not satisfied with thier number of clothing. University students spend the money below one hundred thousandwon on the purchase of clothing and they depend upon their parents for the cost. Their resources of fashion information are display of shop. Clothing consumption pattern showed significant difference according to sex and female students purchased on sale more frequently than male students. The needs of university students for formal wear was high. The reason for not wearing the clothes they have showed significant difference according sex, male students din't wear their clothes for ragging or unsuitableness of size but female students din't wear because thier clothes were old fashion or they lose interests in thier clothes. The tendency to have ethetic, easycare and high quality clothing of female student was stronger than that of male students. It is necessory business develop high quality formal wear at a low price, made in practical textiles and activative designed skirts for university students.

• 한국생활과학회지
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• 제10권3호
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• pp.275-290
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• 2001

The purpose of this study was to investigate the transition of clothing behavior and clothing consumption pattern of college students in Choong Nam province. 75 subjects were surveyed in 1995 and 2000. For statistical analysis, $X^2$-test were used by SPSSWIN program. The results of this study were as follows. 1. Number of clothing showed significant difference according to year and the number of coat and formal wear increased in 2000 compared with 1995. 2. Clothing consumption pattern showed significant difference according to year. College students purchased on sale more frequently and preferred more expensive clothes in the year 2000 compared with 1995. 3. Contentment for clothing behavior showed significant difference according to year and the extent of contentment decreased as years go by. 4. Number of clothing showed significant difference according to sex and female students had more clothes than male students, but the difference between male and female decreased as years go by from 1995 to 2000. 5. Clothing consumption pattern showed significant difference according to sex and female students purchased ell sale more frequently than male students, but the difference between male and female decreased as years go by. 6. Contentment for clothing behavior showed significant difference according to sex, but female students described to not adequate the quantity of feminine style wear and the interest in fashion of male students was increased as years go by.