• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.110.1-110.1
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• 2011

This study analyzed the performance of long term operation photovoltaic system The 50 kWp grid connected photovoltaic system which was installed at KEPRI site in 1999 has been operated more than 12 years. In order to acquire long term operation characteristics of medium size photovoltaic system, the operation test data related on power generation electricity and capacity factor of 50 kWp system, which have been collected since 1999, were analysed. From the analysing results, 57.7 MWh in annual power generation electricity of 50 kWp photovoltaic system in 1999 has been decreased 49.1 MWh in 2005 and reached 38.0 MWh in 2010. In addition to, the capacity factor of 50 kWp photovoltaic system also showed 13.2 % in 1999, 11.2% in 2005 and finally reached 8.8% in 2011. The operation test data showed a trend of decreasing of generation electricity and capacity factor during the 12 years operation time and we guessed that was caused by solar cell performance degradation and decreasing of PCS system efficiency.

• Journal of the Korean Solar Energy Society
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• v.29 no.5
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• pp.14-19
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• 2009

The 50 kWp grid connected photovoltaic system which was installed at KEPRI site in 1999 has been operated more than 10 years. In order to acquire long term operation characteristics of medium size photovoltaic system, the operation test data related on power generation electricity and capacity factor of 50 kWp system, which have been collected since 1999, were analysed. From the analysing results, 57.7 MWh in annual power generation electricity of 50 kWp photovoltaic system in 1999 has been decreased 49.1 MWh in 2005 and reached 41.9 MWh in 2008. In addition to, the capacity factor of 50 kWp photovoltaic system also showed 13.2 % in 1999, 11.2% in 2005 and finally reached 9.6% in 2008. The operation test data showed a trend of decreasing of generation electricity and capacity factor during the 10 years operation time and we guessed that was caused by solar cell performance degradation and decreasing of PCS system efficiency.

• Korean Journal of Human Ecology
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• v.15 no.5
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• pp.835-847
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• 2006

The aim of this study is to examine the tween generation's (11 to 15 years-old) clothing purchase tendency. Based on the questionnaire, the data were collected from 187 elementary school students(11 to 12 years-old) and from 293 middle school students(13 to 15 years-old) in Jeonbuk. The data were analyzed with the factor analysis, Chi-square analysis, t-test, F-test. The research shows: the tween generation rarely if ever buy their clothing by themselves, and they usually accompany their mothers when they purchase their clothes. In the 'size fitness', girl tweenage group prefers a perfect fit to an easy one. But boy tweenage group shows a different tendency from them. In the 'fashion adaption', the tweenage group of 13 to 15 year-olds responds in a sensitive way. The 'style', 'design' and 'color' of clothing are the most decisive factors in their purchasing trend. Especially, the boy tweenage group prioritize the factors in the order of 'brand value', 'price' and 'trend'.

• Research in Community and Public Health Nursing
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• v.24 no.4
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• pp.461-470
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• 2013

Purpose: This study examined factors influencing subjective quality of life in baby boom generation men. Methods: This was a descriptive survey study. Data were collected from 279 baby boom generation men from September to October 2012. The instruments used included a subjective quality of lifescale, a self-esteem scale, a spiritual well-being scale, a communication with spouse scale, a social support scale, and a job satisfaction scale. Data were analyzed using descriptive statistics, t-test, one-way ANOVA and Scheff$\acute{e}$ test, Pearson's correlation coefficients, and Hierarchical multiple regression. Results: All variables were positively correlated with subjective quality of life. As a result, factors influencing subjective life of quality were self-esteem (${\beta}$=.21, p<.000), social support (${\beta}$=.20, p<.002), job satisfaction (${\beta}$=.19, p<.001), communication with spouse (${\beta}$=.15, p<.004), spiritual well-being( ${\beta}$=.16, p<.004), and family income (${\beta}$=.15. p<.023). These factors accounted for 61% of the total variances. Conclusion: The findings indicate a need to develop nursing intervention programs for community health nurses in consideration of these variables to improve the subjective quality of life for baby boom generation men.

• Journal of the Korea Institute of Military Science and Technology
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• v.7 no.1
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• pp.5-12
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• 2004

This paper includes the comparative study between Cr plating and nitriding process with an aim at improving corrosion, wear and maintainability for KNR(Korean Next Generation Rifle) 5.5mm barrel. The endurance test was conducted to compare the performance of standard barrel, Cr plating barrel and nitriding barrel. Main activities are described as follows; optimal Cr plating and nitriding process set-up for KNR 5.56mm barrel; durability test of each barrel(20,000 rounds); salt water immersion test; dispersion, initial velocity, inner diameter data acquisition. According to the results of this firing test, Cr plating barrel is superior to standard barrel and nitriding barrel in view of corrosion, wear and maintainability.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.275-278
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• 2020

In this paper, we proposed a deep learning based character recognition system through virtual data generation. In order to secure the learning data that takes the largest weight in supervised learning, virtual data was created. Also, after creating virtual data, data generalization was performed to cope with various data by using augmentation parameter. Finally, the learning data composition generated data by assigning various values to augmentation parameter and font parameter. Test data for measuring the character recognition performance was constructed by cropping the text area from the actual image data. The test data was augmented considering the image distortion that may occur in real environment. Deep learning algorithm uses YOLO v3 which performs detection in real time. Inference result outputs the final detection result through post-processing.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.33-47
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• 2023

In this study, the difference in human body dimensions between the age groups of Generation M (27 to 39 years old) and Generation Z (20 to 26 years old) was analyzed. This study also analyzed if there was a change in the body shape of the MZ generation, who have different sensibilities from the "young people" of the past. In addition, major changes in human body dimensions were carefully analyzed and presented as basic data for clothing design. Therefore, a t-test was performed to verify the significant differences in the measurements of each age group. To examine the change in human body measurements according to the measurement year, the 7th and 8th size Korea data statistics were analyzed. The main required dimensions of clothing design were analyzed graphically for visual changes according to measurement year and age group. As a result of the analysis, Generation Z was found to have a difference in body shape from Generation M, and is generally smaller and slimmer with broader shoulders. In addition, the body shape change between the 7th and 8th measurement periods was significantly higher than the 8th measurement overall. Height has increased and back length has become shorter, resulting in a larger ratio of lower body length. In addition, the proportion of obesity abnormalities has increased. Therefore, since the dimensional system set from the past data can cause problems for the fitting of clothing for the MZ generation, it is necessary to design the clothing and reset the dimensional system making it suitable for the changed the body shape of the MZ generation.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.7
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• pp.471-478
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• 2013

This paper proposes a black-box based test case generation method for Simulink/Stateflow model utilizing the RRT algorithm which is a method to efficiently solve the path planning for complicated systems. The proposed method in the paper tries to solve the reachability problem with the RRT algorithm, which has to be solved for black-box based test case generations. A major problem of the RRT based test case generation algorithms is that the cost such as running time and required memory size is too much for complicated Stateflow model. The typical RRT algorithm expands rapidly-exploring random tree (RRT) in a single state space. But the proposed method expands it in dynamic state space based on the state of Simulink model, consequently reducing the cost. In the paper, a new definition of RRT state space, a distance measure and a test case generation algorithm are proposed. The performance of proposed method is verified through the experiment against Stateflow model.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.2
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• pp.123-132
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• 2003

The quality certification test is usually conducted by a certifying organization to determine and guarantee the quality of software after the software development phase, commonly without the actual source code, but with by going against the product's manual. In this paper, we implement a Manual-based Automatic Test data generating tool: MaT, the test technique based on manual, that automatizes producing the test data from analysis data of software package and manual. The input data of MaT are the result of the analysis of software and manual. We propose 'menu-based test analysis model' in order to generate the input data. We believe that the proposed technique and tool he]p improving quality and reliability of the software.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1304-1319
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• 2004

We can significantly reduce the cost o# program testing by automating the process of test data generation. Test data generation usually concerns identifying input values on which a selected path is executed. Although lots of research has been done so far, there still remains a lot of issues to be addressed. One of the issues is the shape problem. The shape problem refers to the problem of figuring out a shape of the input data structure required to cause the traversal of a given path. In this paper, we introduce a new method for the shape problem. The method converts the selected path into static single assignment (SSA) form without pointer dereferences. This allows us to consider each statement in the selected path as a constraint involving equality or inequality. We solve the constraints to get a solution which will be represented in terms of the points-to relations for each input variable. Simple, but illustrative examples are given to explain the proposed method.