• Journal of Nutrition and Health
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• v.32 no.1
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• pp.40-49
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• 1999

This study was conducted with 20 female gymnasts and 23 age-matched controls to examine pattern, weight control behavior and nutritional status. Most gymnasts(95.0%) reported that they used weight-control methods, while relatively few age-matched controls employed these methods. These methods included sauna(95.0%), food restriction(90.0%), excess exercise (70.0%), laxative abuse(10%) and use of diet pills(10%). Gymnasts had significantly (p<0.05) lower scores for statements related to 'sneaking food', 'vomiting after overeating', showing more negative eating behavior than age-matched controls. Energy intake of gymnasts was 968.9$\pm$421.4kcal while energy expenditure was 2,091$\pm$361kcal, showing negative evergy balance(-1,1225$\pm$534.6kcal). Female gymnasts consumed less than 70% of the RDA for protein, calcium, iron, vitamin A, thiamin, riboflavin and niacin, which reflects their low energy intake. The average intakes of calcium, iron, vitamin A, thiamin, riboflavin and niacin did not meet the recommended dietary allowances for their age groups. Adolescent athletes who train vigorously and consume a low-energy diet may be exposed to an increase in potential health risks. Therefore, individuals who advise athletic adolescents regarding training and dietary habits need to emphasize the importance of consuming an appropriate energy intake to support performance as well as growth and development. The sports nutritionist is in a position to convey such information to coaches, physicians, parents and to the athletes themselves.

• Journal of the Korean Solar Energy Society
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• v.27 no.4
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• pp.67-75
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• 2007

This study intends to the adequacy inspection of the room temperature variation rate that is available in the building heat performance evaluation index, so we performed the sensitivity analysis about the room temperature variation rate and the energy consumption in the room. For these purpose, we supposed the models which are composed of the various window area, insulation thickness and ventilation rate. Then we analyzed the simulation using the ESP-r and Seoul weather data. In this research, the pattern of the increasing & decreasing rate of annual load according to the change of the various design factors is similar to the pattern of increasing & decreasing rate of not the K-values but the room temperature variation rate. Also we derive the optimum value of the various design factors and the room temperature variation rate in this analysis model. Further study is to be required the development of convenient tool to use in the real design.

• Journal of Soil and Groundwater Environment
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• v.18 no.4
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• pp.40-49
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• 2013

In the beginning of $20^{th}$ century, the coal mining industry had an important role in Japan at which two-thirds of the coal product came from the Kitakyushu-Chikuho District (KCD). As a consequence of mining activities, land-use condition in this district showed notable changes. This paper presented a study of land-use changes in coal mining area by characterizing land-use pattern transition over the last 100 years. In order to carry out the rigorous analysis of land-use, a series of land-use maps over the last 100 years was developed using geographic information systems (GIS). The historic topographic map and another available old data were used to investigate the long-term changes of land-use associated with past mining within the GIS platform. The results showed that the utilization of a series of developed land-use maps successfully indicated the difference of land-use pattern in the KCD before and after the peak of mining activities. The general findings from land-use analysis described that forest and farm lands were lost and turned into abandoned sites in the last 100 years.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.149-161
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• 2023

Internet of Things (IoT) is a relatively new concept that has gained immense popularity in a short period of time due to its wide applicability in making human life more convenient and automated. As an illustration: the development of smart homes, smart cities, etc. However, it is also accompanied by a substantial number of risks and flaws. IoT makes use of low-powered devices, so secure, less time-consuming and energy-intensive transmission (routing) of messages due to the limited availability of energy is one of the many and most significant concerns for IoT developers. The following paper presents a trust-based routing scenario for the Internet of Things (IoT) that exploits the past transmission record from the cupcarbon simulator's log files. Artificial Neural Network is used to quantify knowledge of trust, calculate the value of trust, and share this information with other network devices. As a human behavioural pattern, trust provides a superior method for making routing decisions. If there is a tie in the trust values and no other path is available, the remaining battery power is used to break the tie and make a forwarding decision; this is also seen as a more efficient use of the available resources. The proposed algorithm is observed to have superior energy consumption and routing decisions compared to conventional routing algorithms, and it improves the communication pattern.

• Journal of Families and Better Life
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• v.7 no.2
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• pp.95-107
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• 1989

In this study one aspect of consumer behavior in household equipment utilization was investigated the pattern, frequency, rate of washer use and their relation to the following factors a) Washer related factors : extent of the presence of desired characteristics, the evaluation of washer's intrinsic features and related household facilities. b) Psycho-social factors : attitude of energy conservation, preference & ability to wash by hand, standard of washing of the respondent homemaker. c) Socio-demographic factors : age, education level and employment status of homemaker, house-hold income, the presence of children under seven years, size of family, the presence of a paid help. The subjects of this study were 286 homemakers with washer in Seoul. Analysis methods were used to fuequency, one-way ANOVA, Gamma test, Pearson's Correlation Coefficient, t-test and multiple regression of SPSS program. The major findings are the following; 1) The pattern, frequency, rate of washe use appeared various in every household. 2) Extent of the presence of desired characteristics was very low and respondents evaluated their washer's intrinsic features moderate. 3) The pattern of washer use was affected by the evaluation of washer's intrinsic features, preference & ability to wash by hand, wife's employment and household income. The frequency of washer use was affected by family size and preference & ability to wash by hand. The rate of washer use was affected by extent of the presence of desired characteristics, the evaluation of washer's intrinsic features and preference & ability to wash by hand. Therefore, washing by hand is major substitute for washer. If more desired characteristics are added to washer, intrinsic features are improved, and maintenance costs are reduced or household income is raised, every houshold with washer will use washer more than washing by hand in washing ask so that it may gain more utility from washer.

• Journal of Industrial Technology
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• v.30 no.A
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• pp.9-15
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• 2010

Recently, Smart Grid is a emerging topic in power and communication industry. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. In order to successful implementation of Smart Grid, energy management function will be the key factor that coordinates and optimally controls the various loads according to the operating condition and environments, and the load patterns in residential and commercial building will be required as fundamental element for load management. In this study, we collects many types of energy usage data of electric appliances, analyze their load curves, and make the general load patterns for electrical appliance.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.11
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• pp.1956-1963
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• 2010

Studies on the development of various energy management programs and real-time bidirectional information infrastructures have been actively conducted to promote the reduction of power demands and CO2 emissions effectively. In the conventional energy management programs, the demand response program that can transition or transfer the power use spontaneously for power prices and other signals has been largely used throughout the inside and outside of the country. For measuring the effect of such demand response program, it is necessary to exactly estimate short-term loads. In this study, the power consumption patterns in both individual and group consumers were analyzed to estimate the exact short-term loads, and the relationship between the actual power consumption and seasonal factors was also analyzed.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.5
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• pp.94-99
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• 2015

Prediction algorithm of the energy storage system in accordance with the load pattern can cause economic loss in case of a failure prediction. In addition, algorithm that uses TOU(Time of Use) based on the revelation by the power electric charge which covers most simply is an inefficient operation because it is only for the purpose of reducing the peak power. In this paper, we introduced a non-prediction algorithm with a conventional TOU in order to solve this problem operating the energy storage system economic and efficient.

• Geomechanics and Engineering
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• v.18 no.2
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• pp.111-119
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• 2019

Due to certain geological characteristics (high thickness, rocky properties), some underground coal mines require the use of explosives. This paper explores the effects of fragmentation of different decks detonated simultaneously in a single borehole with the use of numerical analysis. ANSYS/LS-DYNA code was used for the implementation of the models. The models include an erosion criterion to simulate the cracks generated by the explosion. As expected, the near-borehole area was damaged by compression stresses, while far zones and the free surface of the boundary were subjected to tensile damage. With the increase of the number of decks in the borehole, different changes in the fracture pattern were observed, and the superposition effects of the stress wave became evident, affecting the fragmentation results. The superposition effect is more evident in close distances to the borehole, and its effect attenuates when the distance to the borehole increase.

• Geomechanics and Engineering
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• v.16 no.5
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• pp.503-512
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• 2018

Globally there is an increasing need to reduce the greenhouse gas emissions and increase the use of renewable sources of energy. The storage of solar thermal energy is a crucial aspect for implementing the solar energy for space heating in high latitudes, where solar insolation is high in summer and almost negligible in winter when the domestic heating demand is high. To use the solar heating during winter thermal energy storage is required. In this paper, equations representing the single U-tube heat exchanger are implemented in weak form edge elements in COMSOL Multiphysics(R) to speed up the calculation process for modelling of a borehole storage layout. Multiple borehole seasonal solar thermal energy storage scenarios are successfully simulated. After 5 years of operation, the most efficient simulated borehole pattern containing 168 borehole heat exchangers recovers 69% of the stored seasonal thermal energy and provides 971 MWh of thermal energy for heating in winter.