• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.629-639
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• 2011

This paper classifies factors that form Chinese contemporary art price which comes into the spotlight in the current fine art market and consider the characteristics that form price with Chinese art only. The data were analyzed applying hedonic price setting models which include market value as a dependent variable with the various characteristics that art includes as the individual factors. The result has found that Chinese contemporary art has the more effects on factors of artists than sales factors. The social factor is worthy of notice in that Chinese GDP jointly raised with the price of Chinese contemporary art. At this point that interest in and demand of Chinese contemporary art are higher, it is thought that the result of this study will raise comprehension and convincing purchase direction will be suggested to collectors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1414-1419
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• 2015

A method for detecting a skin region on the image is generally used to detect the color information. However, If saturation lowered, skin detection is difficult because hue information of the pixels is lost. So in this paper, we propose a method of correcting color of lower saturation of skin region images by the lighting. Color correction process of this method is saturation image acquisition and low-saturation region classification, segmentation, and the saturation of the split in the low saturation region extraction and color values, the color correction sequence. This method extracts the low saturation regions in the image and extract the color and saturation in the region and the surrounding region to produce a color similar to the original color. Therefore, the method of extracting the low saturation region should be correctly preceding. Because more accurate segmentation in the process of obtaining a low saturation regions, we use a multi-threshold method proposed Otsu in Hue values of the HSV color space, and create a binary image. Our experimental results for 170 portrait images show a possibility that the proposed method could be used efficiently preprocessing of skin color detection method, because the detection result of proposed method is 5.8% higher than not used it.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.1
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• pp.31-38
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• 2012

This study was conducted for the purpose of pursuing the development of Korean scenic spots1) by comparing policies of preserving and maintaining scenic spots in Northeast Asia, especially in South Korea, Japan, Taiwan, China. The objects to be compared for this study were the concepts and designation criteria of scenic spots, the types and present conditions of designated scenic spots and the preservation policies and budgets for scenic spots and so on. As for the research methods, analyses of literary documents, domestic and oversea on-site surveys and mutually-comparative analyses of translated data from China, Taiwan and Japan, etc. were used for this study, and the main results obtained by those research methods can be summarized as blow. As for the present conditions of designated scenic spots, it was found that there were more natural scenic spots than natural ones in Korea, Taiwan and China, while there were more cultural heritages designated as scenic spots than natural heritages in Japan. With Tourism Development Ordinance additionally enacted, which involves the contents related to the permission of tourism development and investment for scenic spots, the Taiwanese government tries to activate tourist attractions by attracting private enterprises' investments. What is unique about Japan is that some places can be pre-designated as scenic spots through an education committee called 'Scenic Spot Designation Committee'. The study of the book was investigation analysis with the designated present situation and the actual situation of the northeastern Asian national natural beauty spot. The type of Korea natural beauty spot resources and the appointment. I was going to offer it with a basic document to expect a designated standard and the designated activation of the Korea natural beauty spot.

• Journal of Korea Soil Environment Society
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• v.3 no.1
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• pp.31-44
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• 1998

The geochemical experiments were carried out to investigate a removal effect of heavy metals in abdndoned metallic mine wastes, and to conceive a treatment techniques of them. In order to prevent contamination, experiment appature was made of acrylic acid resin and polyethylene which resist to acid and alkali. Experiment models are devided into four groups based on the system environments, distribution patterns and a kind of filling materials. The first group is background model(model I ) which is filled with waste only and opened to air. The second one is four layer group which is subdivided into two models, opened and closed systems, and the third mix group which is subdivided into three models based on mixing ratio of filling materials and system environment like a layered group. The forth is composed of two layer model, lower one composed of waste and upper one limestone chips. Solution drained from Model Ishows a high contents of heavy metals on the all terms of experiments. Among the models, however, the closed mix model V and Ⅶ show the most effective removal of heavy metals liberated from wastes. Models having different mixing ratios of filling materials on closed systems does not affect in heavy metal removal effect. But, the distribution patterns of filling materials affect very much on removal effect of heavy metals. The closed models with same constitution ratios and distribution patterns of filling materials show more and less effective removal to the open models.

• Journal of the Korean Society of Radiology
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• v.10 no.3
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• pp.187-193
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• 2016

In this study, we performed the carotid artery ultrasound targeting 140 subjects who have conducted to evaluate the changes in intima-media thickness(IMT) and plaque correlated with the presence or absence of a hematological test of the carotid artery. Considering that the IMT thickness more than 1mm is abnormal based on the carotid artery ultrasound to assess the presence or absence of plaque, and examined the correlation by classifying the blood lipid value and the fasting blood glucose level through the serum test. Consequently, the fasting blood glucose level is being analyzed as independent predictors of causing dental plaque(p=0.033), cut off value was determined as 126 mg/dL(sensitivity 56.25%, specificity 68.38%) in ROC curve analysis. Furthermore, the odds ratio appeared 1.01 times the value in the Logistic regression. Therefore, it seemed that the necessity to prospective studies in a number of subjects are considered, and also taking into account a number of blood test values along with the sonography of the carotid artery as a valuable part for effective primary prevention and follow-up observation of the cardiac and brain vascular disease is highly recommended.

• Economic and Environmental Geology
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• v.38 no.1
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• pp.91-99
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• 2005

Acid Rock Drainage(ARD) is the product formed by the atmospheric(i.e. by water, oxygen and carbon dioxide) oxidation of the relatively common iron-sulphur mineral pyrite($FeS_2$). ARD causes the acidification and heavy metal contamination of water and soil and the reduction of slope stability. In this paper the generation characteristics and the prediction of ARD of various cut slopes were studied. An attempt to classify the rocks into several groups according to their acid generation potentials was made. Acid Base Accounting(ABA) tests, commonly used as a screening tool in ARD predictions, were performed. Fourteen rock samples were classified into PAF(potentially acid forming) group and four rock samples into NAF(non-acid forming) group. The chemical analysis of water samples strongly suggested that ARD with high content of heavy metals and low pH could pollute the ground water and/or stream water.

• Journal of Nutrition and Health
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• v.45 no.5
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• pp.470-478
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• 2012

This study was conducted to investigate dietary factors, bone status, and bone loss in postmenopausal women in rural areas. A total of 189 women participated in the follow-up study after two years. Radius, Tibia, and Phalanx SOS (Speed of Sound) was measured on two occasions 2 years apart by ultra-sonic-metry, and % body fat was measured by bioelectrical impedance analysis at the baseline and after 2years. Dietary intake data were collected 4 times at different season by 24-hour recall method, and then calculated as average. Bone density of radius decreased by 4.2% during the two year period. When the subjects were divided into three groups, by bone decline level during two years, the lowest bone loss group had higher potassium and vegetable intake than other groups. Age and calcium intakes showed significant correlation with bone decline rate at tibia. In multiple regressions, the baseline SOS, vitamin A, vegetables and eggs intakes were found to be significant factors for tibia bone decline. In conclusion, dietary factors, such as higher vegetable intake, seem to affect the changes in bone mineral density in more favorable way. Therefore, efforts are needed to enhance the access to nutritional care for rural elderly postmenopausal women.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.105-114
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• 2015

This paper proposes methods to remove background area and segment region of interest (ROI) in chest X-ray images. Conventional algorithms to improve detail or contrast of images normally utilize brightness and frequency information. If we apply such algorithms to the entire images, we cannot obtain reliable visual quality due to unnecessary information such as background area. So, we propose two effective algorithms to remove background and segment ROI from the input X-ray images. First, the background removal algorithm analyzes the histogram distribution of the input X-ray image. Next, the initial background is estimated by a proper thresholding on histogram domain, and it is removed. Finally, the body contour or background area is refined by using a popular guided filter. On the other hand, the ROI, i.e., lung segmentation algorithm first determines an initial bounding box using the lung's inherent location information. Next, the main intensity value of the lung is computed by vertical cumulative sum within the initial bounding box. Then, probable outliers are removed by using a specific labeling and the pre-determined background information. Finally, a bounding box including lung is obtained. Simulation results show that the proposed background removal and ROI segmentation algorithms outperform the previous works.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.628-638
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• 2017

In response to difficult employment conditions in the maritime industry and a desire to expand their career options, domestic mates are persuing DP operator training at institutions both domestically and abroad based on their shipboard experience. However, since the offshore plant service industry has not yet been established in Korea, those seeking to enter this field have difficulty acquiring qualifications and most seek work overseas for offshore shipping companies. Individuals wishing to work as DP operators are likely to face more conservative recruitment processes with overseas offshore shipping companies, focusing on career language restrictions as they will be non-native speakers relative to the foreign company, difficulty living in a multi-cultural environment, and lack of systematic information on essential job requirements. For these reasons, domestic mates have difficulty seeking jobs. Therefore, this study analyzes the capabilities and qualification required to be a DP operator to provide basic data for developing NCS standards representing a minimum level of competency. These standards can be applied by the government to develop plans for professional training for DP operators. In study, job classifications, competency standards and career development paths for DP operators have been proposed along with joint use of DP training vessels, to train specialized DP instructors. An NCS export model led by the government to activate professional training for DP operators is also presented.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.11-19
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• 2021

A software system is required to change during its life cycle due to various requirements such as adding functionalities, fixing bugs, and adjusting to new computing environments. Such program code modification should be considered as carefully as a new system development becase unexpected software errors could be introduced. In addition, when reusing open source programs, we can expect higher quality software if code changes of the open source program are predicted in advance. This paper proposes a Convolutional Neural Network (CNN)-based deep learning model to predict source code changes. In this paper, the prediction of code changes is considered as a kind of a binary classification problem in deep learning and labeled datasets are used for supervised learning. Java projects and code change logs are collected from GitHub for training and testing datasets. Software metrics are computed from the collected Java source code and they are used as input data for the proposed model to detect code changes. The performance of the proposed model has been measured by using evaluation metrics such as precision, recall, F1-score, and accuracy. The experimental results show the proposed CNN model has achieved 95% in terms of F1-Score and outperformed the multilayer percept-based DNN model whose F1-Score is 92%.