• Journal of Nutrition and Health
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• v.27 no.4
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• pp.336-346
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• 1994

balance and to estimate daily energy requirement in 43 Korean female college students maintaining their usual diet and activity level. Energy intake and expenditure were measured in two separate periods about one month apart, each period lasting for 3 days. All the subjects participated in both periods. Energy intake was assessed by two methods ; weighed diet record and duplicate portion analysis of diet minus fecal and urinary excretion. Mean daily energy intake level calculated from diet records was 28.5 kcal/kgB.W(1, 476 kcal/day), and similar to the level of 27.8 kcal/kgB.W(1, 438 kcal/days) obtained from the chemical analysis of duplicate portions. Mean daily energy expenditure, calculated from activity records of each subject, was 34.6 kcal/kgB.W, or 1.39 times BMR, which corresponds to light activity level. Mean daily energy balance of subjects was -5.9 kcal/kgB.W. Mean daily requirement of energy, calculated from the activity records of the subjects, was 34.6 kcal/kgB.W, similar to the level of the Korean RDA for light activity level. The results of this study indicate that 1) the activity level of the study subjects corresponds to the sedentary level ; 2) present Korean RDA for energy for light activity is adequate for the subjects ; and 3) the subjects should increase their energy intake since they are largely in negative energy balance.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.143-148
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• 2011

In this paper developed a wearable activity device and algorithm which can be converted into the real-time activity and monitoring by acquiring sensor row data to be occurred when a person is walking by using a tri-axial accelerometer. Test was proceeded at various step speeds such as slow walking, walking, fast walking, slow running, running and fast running, etc. for 36 minutes in accordance with the test protocol after wearing a metabolic test system(K4B2), Actical and the device developed in this study at the treadmill with 59 participants of subjects as its target. To measure the activity of human body, a regression equation estimating the Energy Expenditure(EE) was drawn by using data output from the accelerometer and information on subjects. As a result of experiment, the recognition rate of algorithm being proposed was shown the activity conversion algorithm was enhanced by 1.61% better than the performance of Actical.

• Journal of the Korean Dietetic Association
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• v.12 no.3
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• pp.277-288
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• 2006

The purpose of this study was to assess the energy expenditure and investigate the relationship between related variables of 57 dieticians in Youngdong-area. The average daily number of steps was found to be 9358.0$\pm$2714.3 steps/day on weekdays and 7862.9$\pm$2504.9 steps/day during weekends. Hourly step rates on weekdays and weekends came to 570.6$\pm$249.8 steps/hr and 564.0$\pm$224.8 steps/hr, respectively. Activity coefficient of subjects was higher on weekdays (1.56) than weekends (1.51, p<0.05). Resting energy expenditure estimated by the Harris-Benedict formula, WHO/NAO/FAO formula as well as formulas based on body surface area and DRIs (Dietary Reference Intake for Koreans) were calculated to be 1333.7$\pm$89.5kcal/day, 1351.0$\pm$123.3kcal/day, 1388.5$\pm$100.3kcal/day and 1295.9$\pm$90.8kcal/day, respectively. Using these resting energy expenditures and the activity coefficients, daily energy expenditures were calculated to be from 2039.7kcal/day to 2183.5kcal/day on weekdays and from 2016.1kcal/day to 2159.2kcal/day on weekends. Meanwhile energy intakes of subjects on weekdays and weekends were 1594.7$\pm$698.3kcal and 2152.9$\pm$768.0kcal, respectively. The activity coefficient (1.49) of dieticians who managed less than 500 meals per day was significantly lower than that of dieticians who served more than 500 meals per day. Dieticians of schools located in rural areas had higher activity coefficient (1.59) than those of schools located in urban or island settings. These results suggest that work analysis and development of management strategies are necessary to improve dieticians' productivity.

• Journal of the Korean Society of Food Science and Nutrition
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• v.23 no.2
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• pp.219-224
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• 1994

The purpose of this study was to investigate the percentage of body fat by measurement of skin-fold thickness and to figure out the relationship between the daily energy intake and expenditure among male and female college students. Measurements of height, weight , skinfold thickness, percent body fat, lean body mass were made, 새심 daily energy expenditure and dietary intake survey were performed on 164 (male 86, female 78) college students. The survey was conducted between October 10, 1993-November 20, 1993. The results are as follows : 1) The average height and wegiht of the surveyed men and women were respectively 172.$\pm$0.6cm, 62.2$\pm$0.8kg and 160.8$\pm$ 0.5cm, 51.5$\pm$0.6kg, BMI of those surveyed were 20.9$\pm$0.2 and 19.9$\pm$0.2 and body density of those surveyed were 1.06$\pm$0.0 and 1.05$\pm$0.0 , and the percentage of body fat of those surveyed were 17.3$\pm$0.5% and 23.2$\pm$0.4% , and IBM of those surveyed were 51.2$\pm$0.6kg and 39.5$\pm$0.4kg. 2) Mean skin-fold thickness at 4 sites of the surveyed men and women were respectively 11.6$\pm$0.5mm and 18.3$\pm$0.6mm. 3) Average calorie intake of male and female were 2121$\pm$54kcal , 1906$\pm$28kcal respectively 70.5:14.2:15.3 and 68.0:14.0:18.0. 5) Activity time record of subjects reveal that there was a trend for males to spend more time in moderate and high activity and less time in light activity compared to females. Total daily energy expenditure of male and female group were respectively 2784$\pm$51kcal and 2073$\pm$32kcal. 6) The skinfold thickness showed negative correlation with body density but it showed positive correlation with the percentage of body fat. The lean body mass showed positive correlation with physical activity and energy intake showed positive correlation with physical activity also.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.1-8
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• 2012

Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). A total of 33 participants(15 males and 18 females) that performed walking and running on treadmill at 2 ~ 11 km/h speeds(each stage increase 1km/h). Algorithm for energy expenditure of physical activities were implemented with $VO_2$ consumption and SVM correlation between the data. Algorithm consists of three kinds and hip, wrist, waist and hip can be used to apply.

• Journal of IKEEE
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• v.14 no.1
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• pp.17-24
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• 2010

This paper presents calorie expenditure prediction model of daily activity of elderly living alone for LBS(Location Based Service) applications. The proposed method is to describe the daily activity patterns of older adult using PIR (Passive InfraRed) motion sensors and to examine the relationships between physical activity and calorie expenditure. The developed motion detecting system is composed of a sensing system and a server system. The motion detecting system is a set of wireless sensor nodes which has PIR sensor to detect a motion of elder. Each sensing node sends its detection signal to a home gateway via wireless link. The home gateway stores the received signals into a remote database. The server system is composed of a database server and a web server, which provides web-based monitoring system to caregivers for more effective services. The experiment results show the adaptability and feasibility of the calorie expenditure model.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.103-111
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• 2011

The research has increased the role of physical activity in promoting health and preventing chronic disease. Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). COUNT method has been proven through experiments of validity Freedson, Hendelman, Leenders, Yngve was implemented by applying the SVM method. A total of 10 participants(5 males and 5 females aged between 20 and 30 years). The activity protocol consisted of three types on treadmill; participants performed three treadmill activity at three speeds(3, 5, 8 km/h). These activities were repeated four weeks. Customized estimating algorithm for energy expenditure of physical activities were implemented with COUNT and SVM correlation between the data.

• Korean Journal of Exercise Nutrition
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• v.23 no.2
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• pp.45-50
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• 2019

[Purpose] The purpose of this study was to confirm that the difference in excess post-exercise oxygen consumption (EPOC) during exercise of the spending the same calories between the continuous and interval exercise. [Methods] Thirty-four healthy college students who did not regularly exercise volunteered to participate in our study. Continuous exercise was performed on an ergometer for 30 min at 60% of maximal oxygen consumption (VO_{2 max}). Interval exercise was performed on a cycle ergometer at 80% VO_{2 max} for 2 min initially, followed by 40% VO_{2 max} for 1 min, and 80% VO_{2 max} for 3 min. This was repeated six times for a total of 26 min. [Results] The major findings were as follows: (1) energy consumption during exercise was not significantly different between continuous exercise and interval exercise groups; (2) EPOC was higher in interval exercise than in continuous exercise for all dependent variables (i.e., total oxygen consumption, total calories, summation of heart rate); and (3) there were no significant differences in the lipid profile between continuous and interval groups. [Conclusions] Our study confirmed that after equalizing energy expenditure for continuous and interval exercise on a cycle ergometer in subjects in their twenties, interval exercise results in higher EPOC than continuous exercise. These data suggest that interval exercise may be more effective than continuous exercise in reducing body fat, for a given amount of energy expenditure.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.63-77
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• 2003

In this paper, we investigate the co-movements of the real GDP cycle and the telecommunications service expenditure cycle over 1980 through 2000 in Korea. We used several appropriate statistical tools to characterize and to compare the co-movements between the two aforementioned variables. The statistics presented in this paper are common, easy to Interpret and capture important visual, descriptive information and the dynamics of data that would be lost if one focused only on the unconditional correlation coefficients of de-trended data. This paper examines four possible characteristics for the co-movements of real GDP and telecommunications service expenditure in Korea. The first is that in low frequency, the cyclical movements in telecommunications service expenditure are very similar to the cyclical movements in real GDP, The second is that in the high frequency, the estimated stationary cyclical telecommunications service expenditure is not closely related to the estimated stationary cyclical real GDP. Third, according to co-spectra analysis, the strong relationships between the variables are found in the mid-term frequency and as such this empirical finding has important implications for telecommunications policy and telecommunications service implementation strategies. Finally, in the short-term period, our empirical results support telecommunications network theories such as path dependence properties, lock-in, positive feedback externality, and network externality.

• Journal of the Korean Home Economics Association
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• v.35 no.3
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• pp.287-305
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• 1997

The purpose of this study was to analyze a causal effect on the housewife's leisure activity participation, leisure expenditure and leisure life satisfaction. Data was collected 249 housewives in Pusan. Data were analysed using descriptive statistics, one-way Anova, multiple regression, Pearson's correlation and path analysis. The main findings of the research were as follows: First, there were significant differences in leisure activity participation according to socio-demographic and economic variables. Physical type showed significant differences when housewife was 30's and unemployed, size of family was 3 and 4, age of the lastborn child was under 6, occupation of husband was professionals and technicians, educational attainment of housewife was under highschool graduate, pattern of housing was collective, income was higher. There were significant differences that occupation of husband was professionals and technicians, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was higher in self-developing type. restful type showed significant differences when housewife was 40's, age of the lastborn child was under 13-18, educational attainment of housewife was under highschool graduate. There were significant differences that housewife was unemployed in home-oriented type. There were significant differences that housewife was 30's and unemployed, size of family was 4, age of the lastborn child was under 6, occupation of husband was market and sales worker, educational attainment of housewife was over junior college graduate, pattern of housing was collective in time-spending type. Second, there were significant differences in leisure time, leisure expenditure and leisure life satisfaction according to socio-demographic and economic variables. Leisure time showed significant differences when housewife was unemployed, age of the lastborn child was under 13-18, occupation of husband was service, educational attainment of housewife was under highschool graduate, income was higher. Leisure expenditure showed significant differences when housewife was 30's, size of family was under 3, age of the lastborn child was under 6, occupation of husband was senior officials and manager, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was over 5,000,000 won. There were significant differences that housewife was unemployed in leisure life satisfaction. Third, casual effect was path analysed according to path model. Employment and unemployment of housewife, income and occupation of husband (product & transport equipment operator) had an effect on phycial type. Age of housewife, employment and unemployment of housewife and occupation of husband (product & transport equipment operator) had an effect on children-concerned type. Age of housewife had an effect on social-concerned type. Education of husband, income, age of lastborn child and occupation of husband (professor and teacher) had an effect on self-developing type. Age of lastborn child, employment and unemployment of housewife and occupation of husband(product & transport equipment operator) had an effect on children-concerned type. Age of lastborn child and children number had an effect on religious-social type. Employment and unemployment of housewife had an effect on home-oriented type. Age of housewife, education of husband had an effect on time-spending type. Restful type, employment and unemployment of housewife, and occupation of husband(service) have an effect on leisure time. Income, leisure time, self-developing type, children concerned type and occupation of husband(senior officials and manager) had an effect on leisure expenditure. Leisure expenditure, self-developing type, employment and nemploymentof housewife, income had an effect on leisure life satisfaction.