• Korean Journal of Community Nutrition
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• v.23 no.4
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• pp.289-301
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• 2018

Objectives: The aim of this study was to examine the current status of consumption of energy drinks among college students and investigate the effects of general environmental factors, health behavior factors, caffeine knowledge levels, and perceived stress levels on consumption of energy drinks. Methods: A survey was conducted among a total of 479 college students in Gwangju, using self-administered questionnaires. The questionnaire consisted of items about general environmental factors, health behavior, caffeine knowledge, perceived stress, and energy drink consumption behaviors. Results: 69.1% of participants experienced consumption of energy drinks, and specifically 82.8% of male students and 54.1% of female students experienced consumption of energy drinks (p<0.001). The reasons for drinking energy drinks were found to be recovery from fatigue, curiosity, taste, habit, thirst relief, and stress relief. In addition, 40.7% of participants experienced drinking energy drinks mixed with alcohol, and specifically 48.6% of male students and 27.4% of female students reported drinking energy drinks with alcohol (p<0.001). Moreover, 51.5% of participants responded that they experienced the effects of energy drinks, 31.9% reported experiencing adverse effects, and 41.1% were found to perceive the health risks. As a result of the assessment of caffeine knowledge, the participants showed a high level of knowledge of the arousal effect (77.7%) and the concentration increasing effect (70.8%) of caffeine, whereas they exhibited a low level of understanding of the health problems due to caffeine (32.6%) and adequate caffeine intake levels (24.4%). The higher levels of consumption experience of energy drinks was associated with higher body mass indexes (BMI) (p<0.01), higher academic years (p<0.01), lower levels of interest in health (p<0.05), smoking (p<0.001), alcohol consumption (p<0.05), and higher levels of perceived stress (p<0.05). Conclusions: The risk groups related to consumption of energy drinks among college students were identified as male students rather than female students, students in the third or fourth year of study associated with increased stress levels, and students with negative health behaviors. Therefore, support for diverse health and nutrition education for college students is required along with the improvement of internal and external environments of schools in order for college students to manage increased stress levels due to the schoolwork and preparation for employment and maintain positive health behaviors.

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.3
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• pp.29-39
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• 2012

Window and shading designs have a great influence on energy consumption and daylighting in buildings. As far as energy is concerned, small window area is advantageous. But it is not good to the patient healing in hospital. So it is important to find out the optimum window shape which is favorable for both energy consumption and patient healing. In this study, annual energy consumption and daylight illumination levels were analyzed according to the window shapes and shading devices for a multi-beded patient room in hospitals. The simulations were conducted for 19 different cases by COMFEN 4.0 computer simulation program. The results of this paper are as follows. First, window to wall area ratio and shading devices have great influences on annual energy consumption. But it is a problem in that they decrease significantly daylight level in bed room. Second, considering the same energy consumption, reducing the width of window rather than the hight of window is desirable for the secure of daylight level. Third, increase of the number of horizontal shade is not desirable in south face of the building for the energy consumption and daylight level. Fourth, sun shade is not necessary in north face of the building for the energy consumption and daylight level.

• Journal of Environmental Policy
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• v.12 no.3
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• pp.97-122
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• 2013

The ARDL(Autoregressive Distributed Lag) method is employed analyzes the long-run equilibrium relationships among environmental pollution($CO_2$ emissions) per capita, income levels per capita, and energy consumption per capita. The error correction model is employed to analyze the short-term effects of income and energy consumption on $CO_2$ emissions. The Toda-Yammamoto method is employed for causal analysis among the three variables. The results show that income levels, energy consumption, and $CO_2$ emissions are cointegrated. We found the N type relationship between income and $CO_2$ emissions. Long-term elasticities of income and energy consumption with respect to $CO_2$ emission were greater than their short-term elasticities. There were a bilateral causality between energy consumption and $CO_2$ emissions. There was a unilateral causality from $CO_2$ emissions to income and from energy consumption to income not vice versa. Energy consumption can be an important variable to contribute to forecasting $CO_2$ emissions.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1025-1031
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• 2017

This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.

• KIEAE Journal
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• v.15 no.3
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• pp.21-28
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• 2015

Purpose: In this study, we analyzed the energy performance levels and high-performance technology trends through the case studies of foreign high-performance buildings. Method: Buildings built within 10 years were selected for the analysis of recent trends. we analyzed the buildings of U.S.A, Germany and Japan using LEED certified buildings, Passive House certified buildings and CASBEE certified buildings database for the case study of foreign high-performance buildings. A total of 20 high-performance buildings including 14 cases in U.S.A, 4 cases in Germany and 4 cases in Japan were selected. Annual energy consumption levels for 20 high-performance buildings were collected with the actual energy consumption data or data from simulation programs officially recognized by DOE. Annual energy consumption were compared with the energy performance standard of the office buildings in the CBECS database, ASHRAE Standard 90.1-2004 and Building Energy Efficiency Rating System in Korea. Result: The order of the green strategies applied in the main categories are Renewable Energy(63%), Indoor Environment Control(51%), Envelope Improvement(44%) and HVAC System & Control(28%). Specified strategies most widely used in the sub-categories are high-performance Insulation (70%), High Efficiency Heating, Cooling Source Equipment(85%), Photovoltaic&Solar Thermal(80%) and Daylighting(80%).

• Asian-Australasian Journal of Animal Sciences
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• v.8 no.4
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• pp.369-373
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• 1995

A study was conducted to determine the effects of varying palm oil levels (0 to 8%) in the diets on the performance of broilers under the warm humid tropical environment. Increasing palm oil levels resulted in corresponding rise in the dietary energy concentrations, and broilers fed on higher energy diets improved feed and energy consumption, daily weight gain and feed conversion ratio. Total carcass fat content was found to increase at higher levels of palm oil inclusions.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.10-16
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• 2023

The ever-increasing amount of data generated by various industries and systems has led to the development of data mining techniques as a means to extract valuable insights and knowledge from such data. The electrical energy industry is no exception, with the large amounts of data generated by SCADA systems. This study focuses on the analysis of historical data recorded in the SCADA database of the Libyan Electricity Company. The database, spanned from January 1st, 2013, to December 31st, 2022, contains records of daily date and hour, energy production, temperature, humidity, wind speed, and energy consumption levels. The data was pre-processed and analyzed using the WEKA tool and the Apriori algorithm, a supervised machine learning technique. The aim of the study was to extract association rules that would assist decision-makers in making informed decisions with greater efficiency and reduced costs. The results obtained from the study were evaluated in terms of accuracy and production time, and the conclusion of the study shows that the results are promising and encouraging for future use in the Libyan Electricity Company. The study highlights the importance of data mining and the benefits of utilizing machine learning technology in decision-making processes.

• Journal of the Korean Dietetic Association
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• v.18 no.2
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• pp.115-125
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• 2012

This study was conducted to investigate the effects of food consumption monitoring using a camera-phone in a weight control program. Twenty-six female college students (>30% body fat) were randomly assigned to the camera-phone and diary (CD) group or diary (D) only group. During the 8-week weight control program, the CD group controlled their food consumption using a camera-phone, in which they took a food picture and uploaded it to the homepage. However, the D group used only a diary to record their food intake. The mean energy intake of the CD group during the program was 1451.9 kcal while that of the D group was 1524.3 kcal. The total energy intakes of both groups significantly decreased during the program. The CD group lost 5.2 kg of body weight and 3.1% body fat while the D group lost 2.2 kg of body weight and 1.1% body fat. The body weight and fat levels significantly decreased in the CD group compared to the D group. The triglyceride, total-cholesterol and LDL-cholesterol levels of the CD group as well as the total-cholesterol level of the D group significantly decreased during the program. The total-cholesterol and LDL-cholesterol levels both significantly decreased in the CD group compared to the D group. In this study, it was concluded that digital photography method using a camera-phone might influence weight control through trained consumption monitoring, which helps individuals reduce discrepancies between perceived and actual consumption levels.

• Korean Journal of Poultry Science
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• v.14 no.1
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• pp.1-8
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• 1987

Three experiments were conducted to investigate effects of dietary energy and protein levels on performance of laying hens. A total of 360 hens each of 352-day old Manina Brown (Exp.1), 280-day old Brown Warren (Exp.2) or 3174ay old Brown Warren (Exp.3) was divided into 20 pens of 18 birds. Each pen was assigned to one of the four dietary treatments with 5 replications according to a 2${\times}$2 factorial design, consisting of all possible cominations of two levels of metabolizable energy (2,500 and 2,800 kcal/kg of diet) and two levels of crude Protein (13 and 16%). All hens were housed two birds per cage. Exp.1 and 2 were conducted for four weeks and hens were fed experimental diets ad libitum, and Exp.3 lasted two weeks and feed consumption was restricted to 130g/hen/day. In Exp.1 and 2, increasing either energy or protein level in the diet numberically improved egg production. However, in Exp. 3, where feed consumption was restricted, egg Production was affected significantly 〈0.05) by the energy levies and numerically by the protein levels. Neither protein nor energy level influenced egg weight in Exp. 1 and 2, but in Exp. 3 the higher level of energy improved egg weight numerically, In all three experiments increasing either protein or energy level increased egg mass. Higher levels of either protein and energy tended to decrease feed consumption and improve feed conversion rate numerically. It should also be noted that the higher level of energy improved egg mass produced per unit intake of protein and the higher level of Protein improved egg mass produced per unit intake of energy.

• 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.