• Journal of the Korean Home Economics Association
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• v.34 no.5
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• pp.145-158
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• 1996

The puropse of the study is to investigate value consciousness and management behavior of the new-generation housewives' on the family life, that is to say, household work, time management, money management, human-relationship, reducing environ-mertal pollution. To achieve this purposes, reviewing literatures and emporical research have been conducted. The sample of this study was selected from the married women living in Seoul. The major findings of this study are summarized as follows. The mean score of new-generation housewives' value consciousness on the family life was relatively high(3,94 out of 5). The mean score of value consciousness on reducing environmental pollution was the highest, and that on household work was the lowest. The mean score of new-generation housewives' management behavior on the family life was a little high(3.47 out of 5). The mean score of management behavior on reducing environmental pollution was the highest, and that on money management was the lowest. The new-generation urban housewives' have responded positively concerning the relationship between value consciousness and management behavior on the family life.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.15-22
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• 2010

Background generation is very important for accurate object tracking in video surveillance systems. Traditional background generation techniques have some problems with non-moving objects for longer periods. To overcome this problem, we propose a newbackground generation method using mean-shift and Fast Marching Method (FMM) to use pixel information along temporal and spatial dimensions. The mode of pixel value density along time axis is estimated by mean-shift algorithm and spatial information is evaluated by FMM, and then they are used together to generate a desirable background in the existence of non-moving objects during longer period. Experimental results show that our proposed method is more efficient than the traditional method.

• Journal of The Korean Association For Science Education
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• v.25 no.5
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• pp.595-602
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• 2005

The purpose of this study was to test effects of the Triple Abduction Model (TAM) for improving the skills of scientific hypothesis generation in science learning. Twenty-six students were selected for the TAM group and 27 others were selected for a traditional group from one high school. Researchers developed and administered 10 TAM and traditional-style activities. The degree of hypothesis explanation was evaluated during the experimental treatment. Each Subjects' ability in scientific hypothesis generation was assessed by the Science Knowledge Generation Test A and B. Test A was used as a protest and B for a posttest. The results of this study revealed that the degree of hypothesis explanation of TAM was significantly higher than the degree of the traditional group, and the mean of the TAM group was equal to the mean of traditional group on the pretest. Additionally, the mean of the TAM group was significantly higher than the mean of the control group on the posttest. Therefore, instruction with TAM was more effective than the instruction using traditionals method for increasing students' hypothesis generation skills.

• Journal of Climate Change Research
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• v.8 no.4
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• pp.357-367
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• 2017

Electricity generation in Korea mainly depends on thermal power and nuclear power. Especially the coal power has led to the increase in $CO_2$ emissions. This paper intends to analyze the current status of $CO_2$ emissions from electricity generation in Korea during the period 1990~2016, and apply the logarithmic mean Divisia index (LMDI) technique to find the nature of the factors influencing the changes in $CO_2$ emissions. The main results as follows: first, $CO_2$ emission from electricity generation has increased by $165.9MtCO_2$ during the period of analysis. Coal products is the main fuel type for thermal power generation, which accounts about 73% $CO_2$ emissions from electricity generation. Secondly, the increase of real GDP is the most important contributor to increase $CO_2$ emissions from electricity generation. The carbon intensity and the electricity intensity also affected the increase in $CO_2$ emission, but the energy intensity effect and the dependency of thermal power effect play the dominant role in decreasing $CO_2$ emissions.

• Journal of Environmental Science International
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• v.17 no.10
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• pp.1069-1073
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• 2008

Indoor air quality can be affected by indoor sources, ventilation, decay and outdoor levels. Although technologies exist to measure these factors, direct measurements are often difficult. The purpose of this study was to develop an alternative method to characterize indoor environmental factors by multiple indoor and outdoor measurements. Using a mass balance model and regression analysis, penetration factor (ventilation rate divided by the sum of ventilation rate and deposition constant) and source strength factor (source strength divided by the sum of ventilation rate and deposition constant) were calculated using multiple indoor and outdoor measurements. Subsequently, the ventilation rate and $NO_2$ generation rate were estimated. Mean of ventilation rate was 1.41 ACH in houses, assuming a residential N02 deposition constant of 0.94 $hr^{-1}$. Mean generation rate of $NO_2$ was 16.5 ppbv/hr. According to house characterization, inside smoking and family number were higher $NO_2$ generation rates, and apartment was higher than single-family house. In conclusion, indoor environmental factors were effectively characterized by this method using multiple indoor and outdoor measurements.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.115-116
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• 2014

This study investigated power generation of photovoltaic equipment at detached houses. The study estimated monthly mean generation according to maintenance conditions that included module cleaning, inspection into generation, cleaning of module and photovoltaic generation. At analysis upon generation, households with periodical module cleaning and inspection into generation, clean module and good generation conditions had high generation. 20-years of PV equipment life varied much depending upon maintenance conditions. Users should keep module clean and inspect generation regularly and put PV equipment at the place with good solar radiation.

• Transactions of the Korean Society of Automotive Engineers
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• v.5 no.5
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• pp.197-212
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• 1997

The performance of a torque converter can be expressed by the performance parameters such as flow radius and flow angle, on the mean flow path. The geometric analysis of the torque converter is required to determine these parameters for the modeling of the torque converter. In general, the blade shape is depicted by three dimensional data at the mid-surface of blade or those of the pressure and suction side. To generate three dimensional model of the blade using the data mentioned above, a consistent data format and a shape generation algorithm are required. This paper presents a useful consistent data format of the blades and an algorithm for the geometrical shape generation. By the geometric analysis program to which the shape generation algorithm is embedded, the variation of blade angles in rotating element analyzed. Then finally, the analyzed results of geometric profile of a blade are compared with those of the blade design principle, so called forced vortex theorem.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.10A
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• pp.775-779
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• 2003

A spatio-temporal searcher structure for 3rd generation W-CDMA systems is proposed to enhance the detection capability of the multi-path searcher for the desired signal. This searcher employs the spatio-temporal signal structure to search for newly emerging multipath signals. The proposed multi-path searcher provides better detection capability andthus reduces the mean acquisition time. The detection and false alarm probabilities of new and conventional schemes are calculated and numerical examples of mean acquisition time are given thereafter.

• Transactions of the Korean hydrogen and new energy society
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• v.31 no.5
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• pp.436-443
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• 2020

The performance prediction model of a solid oxide fuel cell stack has been developed using deep neural network technique, one of the machine learning methods. The machine learning has been received much interest in various fields, including energy system mo- deling. Using machine learning technique can save time and cost requried in developing an energy system model being compared to the conventional method, that is a combination of a mathematical modeling and an experimental validation. Results reveal that the mean average percent error, root mean square error, and coefficient of determination (R2) range 1.7515, 0.1342, 0.8597, repectively, in maximum. To improve the predictability of the model, the pre-processing is effective and interpolative machine learning and application is more accurate than the extrapolative cases.

• Journal of the korean academy of Pediatric Dentistry
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• v.32 no.2
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• pp.293-299
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• 2005

It is important to reduce chair time and procedure in restorative treatment for children. Composite resin is not only used in esthetic restoration of anterior teeth but also posterior teeth by its improved physical property. The 7th generation dentin bonding system was recently developed in order to simplify three steps which is needed to bond composite resin to tooth surface-etchant, primer, adhesive. We compared shear bond strengths of 4, 5, 6, 7th generations dentin bonding systems. The primary dentin was pretreated with 4, 5, 6, 7th generation dentin bonding systems. Then composite resin was cured to the specimen using molds 2.5mm in diameter and 2mm in height. Thermocycling was performed and shear bond strength was finally measured. The results were as follow; 1. The mean values of shear bond strengths in 5th generation dentin bonding system(group 2) were greater than those of 4, 6, 7th generation dentin bonding system(group 1, 3, 4). The differences were statistically significant. 2. The mean values of shear bond strengths in 4th generation dentin bonding system(group 2) were greater than those of 6, 7th generation dentin bonding system(group 1, 3, 4). But, the differences were not statistically significant. 3. Between the mean values of shear bond strengths in 6, 7th generation dentin bonding system(group 3, 4) were similar.