• Journal of Nutrition and Health
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• v.51 no.5
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• pp.455-464
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• 2018

Purpose: This study was conducted to examine the status of dietary behavior and its association with study-related factors in middle school students. Methods: Study-related factors, dietary habit score and dietary behaviors were surveyed by questionnaire and then analyzed. A total of 580 students in some middle schools in Gyeonggi-do participated in this study. Collected data were analyzed using SPSS for windows Ver. 22.0. Results: 71.3% of the subjects slept for 6 ~ 8 hours, and the studying time outside of school was the highest (2 ~ 4 hours). The highest score for stress from studying by private lessons or academies was 'seldom stressed', with higher stress being observed in male students than female students. The average dietary habit score was 3.69 in male students and 3.62 in female students. The highest average time for meal eating was 10 ~ 20 minutes, with shorter times being observed for male students than female students. Eating meals was regular in most students and the highest number of snack eating was 1 ~ 2 times a day. For dietary behaviors by study-related factors, students with more than 2 hours of studying time outside of school showed higher dietary habit scores than those with less than 2 hours, who showed significantly higher rates of eating 2 meals a day. As the sleeping hours and daily average studying hours increased, the rate of regular meal eating increased significantly. Conclusion: The students showed good, above average dietary behaviors, but gender differences in study-related factors and dietary behaviors. Moreover, the sleeping hours and the studying time outside of school were correlated with dietary habit scores and dietary behaviors. Thus, continuous and systematic education for proper dietary behavior is needed along with greater interest in students with problems of study-related factors, particularly those due to study burden.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.9
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• pp.1148-1160
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• 2007

This study was performed to document the association between eating behaviors and major risk factors for cardiovascular diseases. Those who stated that they ate a daily breakfast for male and female were 88.6% and 96.0%, $1{\sim}2$ times a week were 9.1% and 2.0%, $3{\sim}4$ times a week were 2.3% and 2.0%, respectively. Those who stated that they were overeating of $0{\sim}1$ time a week for man and female were 80.7% and 89.9%, overeating of $2{\sim}3$ times a week were 19.3% and 10.1%, respectively. Those who said that they were regular of meal time for man and female were 38.6%, and 37.4%, sometimes irregular of meal time were 14.8% and 19.2%, irregular of meal time were 46.6% and 43.4%, respectively. Those who said that they were light of eating volume for man and female were 20.5% and 25.3%, moderate of eating volume were 69.3% and 61.6%, heavy of eating volume were 10.2% and 13.1%, respectively. Those who said that they were very fast of eating speed for man and female were 15.9% and 8.1%, fast of eating speed were 51.1% and 34.3%, moderate of eating speed were 4.5% and 20.2%, slow of eating speed were 17.0% and 14.1%, and very slow of eating speed were 11.4% and 23.2%, respectively. Higher frequency of breakfast a week resulted in higher serum total cholesterol and blood sugar for the daily eating group for both genders with women having high LDL-cholesterol and HDL-cholesterol. Both group had high HDL-cholesterol and low blood sugar with less number of overeating, with men having low triglyceride and LDL-cholesterol. With regular meal, both group had low triglyceride, total-cholesterol, atherogenic index, and blood sugar with women having low LDL-cholesterol. For both groups, the triglyceride, total-cholesterol, LDL-cholesterol, atherogenic index, and blood sugar had higher figures for overeating, with men having low HDL-cholesterol and women having high HDL-cholesterol. This study revealed that less number of overeating, regular mealtime, and less volume of food intake are effective in preventing and treating for the cardiovascular diseases.

• Journal of the Korea Organic Resources Recycling Association
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• v.24 no.4
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• pp.105-112
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• 2016

The drying test was carried on the globular type cow manure pellet for use in solid fuel applications. The globular type cow manure pellet fuel was sorted according to size by rotatory sieves. The three kind of drying methods such as convection hot-air drying method, infrared ray drying method and superheated steam method were used to dry the globular type cow manure pellet. Among the three kind of drying methods, superheated steam method of dry time was the shortest. The apparent specific gravity and low calorific value of dried cow manure pelltes was about $250{\sim}350kg/m^3$ and above 3,000 kcal/kg respectively. The smaller the particle size of cow manure pellets, the less drying time was required. The time was required very less for drying smaller particle size cow manure pellet when compared to larger size. In the case of the same drying condition, it has been found that reducing the particle size of cow manure fuel pellet is an important factor for shortening the drying time of the livestock manure pellet.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.17-24
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• 2011

In recent, the enhancement of guide signs system for expressway were studied. And newly suggested signs in that research show left-right bilingual (Korean/English) configuration of 2 destinations whereas existing signs showed top-bottom configuration. However the new configuration have not been evaluated with discreet examination. In this study, several bilingual configuration designs are developed and evaluated with human factors experiment. Therefore the design with the shortest legibility time were chosen as a best design. As a result, the fact that the change of Korean/English configuration shows different results of the legibility time was confirmed. The guide sign with left-right bilingual (Korean/English) configuration of 2 destinations showed less legibility time than that of the existing signs with top-bottom configuration.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.284-293
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• 2015

This study was intended to investigate food, exercise habits, perception of health status and the effects of nutrient intake of female college students. Food habits such as regularity of meal time, repast of breakfast, numbers of night snack per week and duration of meal were assessed via a self reporting questionnaire, and 24hrs recall method for nutrient intake was obtained from 155 female college students in Yangju-si. The mean height and weight of the subjects were $161.25{\pm}3.52cm$ and $52.26{\pm}4.52kg$, respectively. The average intakes of energy and nutrients were below the Korea recommended dietary allowance(RDA). Especially, The nutrient intakes(energy, protein, fat, fiber, calcium, iron, phosphorus, zinc, sodium, potassium, vitamin B6, niacin, vitamin C, folate, vitamin E, cholesterol) of the group in which the regularity of meal time per week was 5~7 days was significantly higher than the group in which the regularity of meal time was < 3 days (p<0.005). The nutrient intakes influenced by the food habit such as the regularity of meal time, skipping breakfast, and the numbers of night snack per week but did not differ in accordance with the regular exercise habits and perception of health status. These findings suggest that nutritional education based on female college students' food habits(regularity of meal time, skipping breakfast and night snacks per week, and duration of meal) may be required to improve dietary variety. It is considered that the improvement in dietary habits will contribute to the improvement of nutrition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.391-395
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• 2009

최근 한정된 자원으로 인한 에너지 수요가 증가하면서 에너지 절약 문제가 중요한 과제로 대두되었다. 본 논문에서는 효율적인 에너지 절약 문제를 해결하기 위한 방법으로 열 영상과 퍼지 제어 기법을 적용하여 실내 냉방 장치의 풍향과 풍속을 제어하는 방법을 제시한다. 본 논문에서는 실내 냉방 장치의 풍향과 풍속을 제어하기 위해 획득한 초기 열 영상을 색상 분포 영상으로 변환한다. 색상 분포 영상은 Red, Magenta, Yellow, Green, Sky, Blue의 온도 값을 가지는 RGB 값이며 각 색상은 $24.0^{\circ}C$에서 $27.0^{\circ}C$의 분포의 온도 값을 가진다. 본 논문에서는 색상 분포 영상을 좌에서 우로 5개의 계층 구간으로 분류하여 온도를 분석한다. 실내 공간의 색상 분포 영상을 분석하여 얻어진 각 계층 구간의 온도와 대기 중의 습도를 퍼지 소속 함수에 적용하여 구해진 결과 값을 비퍼지화 하고 최종적으로 풍향의 세기를 제어한다. 그리고 열 영상을 분석하여 풍향의 우선순위, 풍향의 지속시간을 결정한다. 제안된 방법을 $300{\times}400$ 크기의 열 영상을 대상으로 기존의 시스템과의 전력량 차이를 시뮬레이션 한 결과, 제안된 방법이 효과적인 것을 확인할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2083-2090
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• 2008

In this paper, we propose a method for control of temperature and the direction of wind in an air-cooler using thermal images and fuzzy inference rules in order to achieve energy saving. In a simulation for controlling temperature, a thermal image is transformed to a color distribution image of $300{\times}400$ size to analyze the thermal image. A color distribution image is composed of R, G and B values haying temperature values of Red, Magenta, Yellow, Green, Cyan and Blue. Each color has a temperature value from $24.0^{\circ}C$ to $27.0^{\circ}C$ and a color distribution image is classified into height hierarchies from level 1 to level 10. The classified hierarchies have their peculiar color distributions and temperature values are assigned to each level by temperature values of the peculiar colors. The process for controlling overall balance of temperature and the direction of wind in an indoor space is as follows. Fuzzy membership functions are designed by the direction of wind, duration time, and temperature and height values of a color distribution image to calculate the strength of wind. After then, the strength of wind is calculated by membership values of membership functions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.10
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• pp.2201-2206
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• 2010

The shortage of fossil fuel drives researchers to find a new way to increases energy efficiency. In this paper, we propose a method to control the direction and speed of an air conditioner using a thermal image and fuzzy controlling method, which results in the increase of energy efficiency. The thermal image is first converted into a color temperature image which represents the temperature range from $24.0^{\circ}C$ to $27.0^{\circ}C$. The temperature image is divided into 5 columns and the distribution of them is used to analyze room temperature and control an air conditioner. The proposed method was applied to 300 by 400 thermal images. When the performance of the proposed method was compared to existing systems in energy efficiency, the proposed method was better than existing methods, which is clear from experimental results.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.6
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• pp.670-678
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• 2018

In coastal waters where the traffic volume of the ship is high, there is a high possibility of a collision accident because complicated encounter situations frequently occurs between ships. To reduce the collision accidents at sea, a quantitative collision risk assessment is required in addition to the navigator's compliance with COLREG. In this study, a new collision risk assessment system was developed to evaluate the collision risk on ship's planned sailing routes. The appropriate collision risk assessment method was proposed on the basis of reviewing existing collision risk assessment models. The system was developed using MATLAB and it consists of three parts: Map, Bumper and Assessment. The developed system was applied to the test sea area with simple computational conditions for testing and to actual sea areas with real computational conditions for validation. The results show the length of own ship, ship's sailing time and sailing routes affect collision risks. The developed system is expected to be helpful for navigators to choose the optimum safe route before sailing.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.411-425
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• 2013

The importance and necessity of the credit loan are increasing over time. Also, it is a natural consequence that the increase of the risk for borrower increases the risk of non-performing loan. Thus, we need to predict accurately in order to prevent the loss of a credit loan company. Our final goal is to build reliable and accurate prediction model, so we proceed the following steps: At first, we can get an appropriate sample by using several resampling methods. Second, we can consider variety models and tools to fit our resampling data. Finally, in order to find the best model for our real data, various models were compared and assessed.