• Proceedings of the KIEE Conference
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• 2003.07e
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• pp.75-78
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• 2003

Energy distribution function for electrons in $SF_6$-Ar mixtures gas used by MCS-BEq algorithm has been analysed over the E/N range $30\sim300$[Td] by a two term Boltzmann equation and by a Monte Carlo Simulation using a set of electron cross sections determined by other authors, experimentally the electron swarm parameters for 0.2[%] and 0.5[%] $SF_6$-Ar mixtures were measured by time-of-flight(TOF) method. The results show that the deduced electron drift velocities, the electron ionization or attachment coefficients, longitudinal and transverse diffusion coefficients and mean energy agree reasonably well with theoretical for a rang of E/N values. The transport coefficients for electrons in (0.2[%])$SF_6$-Ar and (0.5[%]$SF_6$ - Ar mixtures were measured by time-of-flight method, and the electron energy distribution function and the parameters of the velocity and the diffusion were determined by the variation of the collision cross-sections with energy. The results obtained from Boltzmann equation method and Monte Carlo simulation have been compared with present and previously obtained data and respective set of electron collision cross sections of the molecules.

• Journal of Korean Biological Nursing Science
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• v.14 no.4
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• pp.258-267
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• 2012

Purpose: The purpose of this study was to identify the relationship between energy intake and fatigue in cancer patients receiving chemotherapy. Methods: A total of 106 subjects had participated in this study. Data were collected at a university hospital in D city from September 1st to November 10th, 2010. Energy intake including carbohydrates, protein and fat was measured by scale and analyzed using Can Pro 3.0 program. Fatigue level was measured by the Revised Piper Fatigue Scale. Data were analyzed using descriptive analysis, t-test, ANOVA and Pearson correlation coefficient with SPSS/WIN 15.0. Results: The mean calorie intake during chemotherapy was $906.53{\pm}201.28Kcal/day$ which was 45.3% of the recommended daily calorie intake. The mean of protein intake level was $43.62{\pm}11.13g/day$, and it was low compared to the recommended daily protein intake. Calories, carbohydrates, and protein levels on 3rd day after chemotherapy were significantly lower than those of 2nd day after chemotherapy (p<.001). The fatigue level during chemotherapy was $5.77{\pm}0.77$ which was moderate level of fatigue. There was a significant negative interrelation between energy intake and fatigue. Conclusion: Theses results suggested that nursing approaches to encourage dietary intake may be helpful to reduce fatigue for cancer patients receiving chemotherapy.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1549-1552
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• 2003

The front-end side members of automobiles absorb most of the energy in a front-end collision. The front-end side members are required to have a high stiffness together with easiness to collapse sequentially to absorb more impact energy. The axial static collapse test (5mm/mim) was conducted by using UTM with respect to the single hat shaped section members which are the standard section shape of the spot welded section members, to the single cap shaped section members, to the double cap shaped section members and to the double hat shaped section members whose section shape are changed in order to give more stiffness. As a result of test, the energy absorbing characteristic was analyzed for different section shapes. That is, it was analyzed that the change of section shape influenced the absorbing energy, the mean collapse load and the maximum collapse load, and that the relation between the change of section shape and the collapse mode.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.1
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• pp.27-31
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• 2011

In this paper, the electron transport characteristics in $CF_4$ has been analysed over the E/N range 1~300[Td] by a two-term approximation Boltzmann equation method and by a Monte Carlo simulation. The motion has been calculated to give swarm parameters for the electron drift velocity, longitudinal diffusion coefficient, the ratio of the diffusion coefficient to the mobility, electron ionization and attachment coefficients, effective ionization coefficient, mean energy, collision frequency and the electron energy distribution function. The electron energy distribution function has been analysed in $CF_4$ at E/N=5, 10, 100, 200 and 300[Td] for a case of the equilibrium region in the mean electron energy and respective set of electron collision cross sections. The results of Boltzmann equation and Monte Carlo simulation have been compared with experimental data by Y. Nakamura and M. Hayashi. The swarm parameter from the swarm study are expected to serve as a critical test of current theories of low energy electron scattering by atoms and molecules, in particular, as well as crucial information for quantitative simulations of weakly ionized plasmas.

• Journal of the Korean Solar Energy Society
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• v.28 no.1
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• pp.51-56
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• 2008

Since the direct normal insolation is a main factor for designing any solar thermal power system, it is necessary to evaluate its characteristics all over the country. We have begun collecting direct normal insolation data since December 1992 at 16 different locations and considerable effort has been made for constructing a standard value from measured data at each station. KIER(Korea Institute of Energy Research)'s new data will be extensively used by solar thermal concentrating system users or designers as well as by research institutes. From the results, we can conclude that 1) Yearly mean $2.67\;kWh/m^2/day$ of the direct normal insolation was evaluated for all days all over the 16 areas in Korea. 2) All day's direct normal insolation of spring and summer were $2.91\;kWh/m^2/day$ and $2.23\;kWHm^2/day$, and for fall and winter their values were $2.78\;kWh/m^2/day$ and $2.77\;kWh/m^2/day$ respectively. So, spring, fall and winter were higher, and summer was lower than the yearly mean value.

• Journal of the Korean Society of Food Science and Nutrition
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• v.27 no.4
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• pp.775-784
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• 1998

This study was conduced to investigate the seasonal variation of dietary intake and quality obtained by 24 hour recall method in Korean adults living in rural area. The mean daily intakes of 4 seasons were 1,692kcal for energy, 63g(14.8% of energy) for protein, 30g(15.7% of energy) for fat, 257g(60.7% of energy) for carbohydrate. Mean daily intakes were significantly highest in winter for most of the nutrients, and lower in summer for energy, fat, calcium, iron. Mena adequacy ratio(MAR), an index of overall nutritional quality was 0.65 in winter, 0.67 in spring, 0.65 in summer and 0.72 in autumn and nutrient adequacy ratio(NAR) was significantly different fro vitamin C agmong different seasons. Subjects consumed usually 15.3 different foods in winter, 14.5 in summer, 13.9 in spring and 13.7 in autumn. The number of food consumed was positively correlated with intake of most nutrients, especially in autumn. For variety among the five major food groups(grain, meat, dairy, fruit, vegetable) with a dietary diversity scores(DDS) calculated, the average socre of DDS was 3 in all seasons and omitted food groups were usually dariy and fruit. In conclusion, dietary intake and quality of Korean adults were different according to seasons.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.1874-1885
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• 2018

The customer side operation is getting more complex in a smart grid environment because of the adoption of renewable resources. In performing energy management planning or scheduling, it is essential to forecast non-controllable resources accurately and robustly. The PV system is one of the common renewable energy resources in customer side. Its output depends on weather and physical characteristics of the PV system. Thus, weather information is essential to predict the amount of PV system output. However, weather forecast usually does not include enough solar irradiation information. In this study, a PV system power output prediction model (PPM) under limited weather information is proposed. In the proposed model, meteorological radiation model (MRM) is used to improve cloud cover radiation model (CRM) to consider the seasonal effect of the target region. The results of the proposed model are compared to the result of the conventional CRM prediction method on the PV generation obtained from a field test site. With the PPM, root mean square error (RMSE), and mean absolute error (MAE) are improved by 23.43% and 33.76%, respectively, compared to CRM for all days; while in clear days, they are improved by 53.36% and 62.90%, respectively.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.129-136
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• 2019

In this study, we proposed a model for forecasting power energy demand by investigating how outside temperature at a given time affected power consumption and. To this end, we analyzed the time series of power consumption in terms of the power spectrum and found the periodicities of one day and one week. With these periodicities, we investigated two time series of temperature and power consumption, and found, for a given hour, an approximate linear relation between temperature and power consumption. We adopted an exponential smoothing model to examine the effect of the linearity in forecasting the power demand. In particular, we adjusted the exponential smoothing model by using the variation of power consumption due to temperature change. In this way, the proposed model became a mixture of a time series model and a regression model. We demonstrated that the adjusted model outperformed the exponential smoothing model alone in terms of the mean relative percentage error and the root mean square error in the range of 3%~8% and 4kWh~27kWh, respectively. The results of this study can be used to the energy management system in terms of the effective control of the cross usage of the electric energy together with the outside temperature.

• The Korean Journal of Food & Health Convergence
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• v.7 no.6
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• pp.17-24
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• 2021

This study investigates the exercise-physiological changes in stages through the movement of the automatic stepper and to analyze the usefulness of the automatic stepper. For 18 male university students, out of 10 levels, 5 level and 10 level of automatic stepper exercise were performed. At each 10, 20, 30 minutes during exercise, 5 and 10 minutes after exercise stop the subjects were examined to analyze the changes in energy consumption after minutes, respiratory exchange rate, heart rate, oxygen consumption per body weight, METs, cumulative energy consumption, and lactic acid to verify the usefulness of the automatic stepper. The mean and standard deviation were calculated using the SPSS, and one-way ANOVA with repeated measure was performed to verify the difference in the mean between time periods. The LSD method was used for the post-hoc test, and the significance level was set to α = .05. There were no significant changes in both 5 and 10 level, but the cumulative energy consumption over time increased significantly. In addition, as a low-intensity exercise intensity is shown, a low increase in lactic acid indicated a safe exercise level. In future studies, in-depth studies of various variables through regular exercise programs are needed for those who need safe exercise.

• Nutrition Research and Practice
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• v.4 no.4
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• pp.339-344
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• 2010

The objective of this study was to measure anthropometric and haemoglobin level and nutrient intake of expecting women in the third trimester of pregnancy and to relate the birth weight of neonates as outcome of pregnancy. A cross sectional study was performed in Zahedan City. Two hospitals situated in the city were selected based on their approval and cooperation. Five hundred healthy pregnant women in the age group 16-40 years were selected for this study. Findings showed that the mean height, weight, fundal height, and haemoglobin of pregnant women were 156.4 cm, 62.6 kg, 34.2 cm, and 11.1g/dl respectively. Nutrient intake was computed based on 24 hour recall method. The results showed that, the mean intake of energy was 1802 Kcal/day. The intake of protein, calcium, iron, zinc and magnesium were 70.7 g, 544.0 mg, 16.1 mg, 10.6 mg and 266.0 mg respectively. Percentage adequacy of nutrient intakes with reference to RDA recommendation showed 95% and 80% of subjects had sufficient RDA intakes, while energy, calcium, iron and zinc intake considered as insufficient. The mean birth weight of neonates was 3.0 kg and 13% of neonates showed low birth weight. Maternal height, weight, fundal height and haemoglobin level were significantly correlated with birth weight of neonates. Energy, protein and calcium intakes in the third trimester were significantly correlated with birth weight of neonates. Using the binary logistic regression analysis fundal height, haemoglobin level and energy intake of pregnant women were considered as predictor factors of birth weight of neonates.