• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.1-8
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• 2020

The purpose of this study was to explore the experience of choosing the best days for childbirth and to understand the nature and meaning of the experience. The qualitative method of data collection was used, and in-depth face-to-face interview were conducted. Participants included four women who had given the day of birth set as the desired date. Van Manen's phenomenological method was adopted to analyze data. Four theme clusters emerged from the analysis: "The first gift to my baby"; "Collaboration with others for my baby"; "Choosing a date for childbirth such as blueprint of child"; and "Complex feelings." Our findings helped in understanding the experience of Korean women in choosing the best days for childbirth. Health care providers should offer appropriate advice and show sufficient empathy as well as emotional support by considering cultural expectations.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.103-110
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• 2015

Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.71-79
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• 2019

By using convolutional neural networks (CNNs) based on semantic segmentation, road surface damage detection has being studied. In order to generate the CNN model, it is essential to collect the input and the corresponding labeled images. Unfortunately, such collecting pairs of the dataset requires a great deal of time and costs. In this paper, we proposed a road surface damage detection technique based on semi-supervised learning using pseudo labels to mitigate such problem. The model is updated by properly mixing labeled and unlabeled datasets, and compares the performance against existing model using only labeled dataset. As a subjective result, it was confirmed that the recall was slightly degraded, but the precision was considerably improved. In addition, the $F_1-score$ was also evaluated as a high value.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.107-116
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• 2022

Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2^nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.45-52
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• 2023

Recently, as the importance of walking in daily life has been emphasized, projects to guarantee walking rights and create a pedestrian environment are being promoted throughout the region. In previous studies, a pedestrian environment assessment was conducted using Jeonju-si road images, and an image comparison pair data set was constructed. However, data sets expressed in numbers have difficulty in generalizing the judgment criteria of pedestrian environment assessors or visually identifying the pedestrian environment preferred by pedestrians. Therefore, this study proposes a method to interpret the results of the pedestrian environment assessment through data visualization by building a web application. According to the semantic segmentation result of analyzing the walking environment components that affect pedestrian environment assessors, it was confirmed that pedestrians did not prefer environments with a lot of "earth" and "grass," and preferred environments with "signboards" and "sidewalks." The proposed study is expected to identify and analyze the results randomly selected by participants in the future pedestrian environment evaluation, and believed that more improved accuracy can be obtained by pre-processing the data purification process.

• Journal of the Korean association of regional geographers
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• v.13 no.4
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• pp.454-460
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• 2007

Korean War resulted in the fact that Demilitarized Zone (DMZ) on the neck of Korean peninsular was totally forgotten by people for more than half a century. But recently, as the concern in this DMZ has been rising inside and outside of Korea, the researches on this subject have been gradually quickening. However, the practical studies about spatial extent of DMZ are very feeble. Even the analysis of the previous studies shows that the most of researches had mistakes in the spatial description of MDL and DMZ, neutral territory of Han River estuary, and NLL. In this study the length of MDL, stretching till the estuary of western Lim- Jin River in Myung-Ho Ri of Goseong region on East Coast, was measured to be about Z38km (l48miles); the area of corresponding DMZ was proved to be approximately $903.8km^2$ ($907.3km^2$ in the previous studies). Such results show that it is necessary to decide the terms for calling the space dividing North and South Korea, similarly to "155-mile truce line".

• Korean Journal of Acupuncture
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• v.27 no.4
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• pp.85-97
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• 2010

목적 : 이 연구는 서로 다른 두 경혈이 심박변이도에 미치는 영향을 비교하고, 자율신경계에 미치는 영향을 평가하기 위해 수행하였다. 재료 및 방법 : 13명의 지원자가 3개의 세션에 균등하게 무작위 배정되었다. 각 세션에서 지원자들은 신맥(BL62), 조해(KI6), 또는 비경혈에 각각 침처치를 받았다. 10분간 휴식을 한 후에 자침 전, 유침기간, 발침 후 기간에 5분 동안 심박변이도 측정을 하였다. 유침기간에는 2분 간격을 두고 2회 심박변이도를 측정하였다. 결과 : 신맥에 자침한 군에서는 자침후 기간에 total power(TP)와 standard deviation N-N interval(SDNN)이 유의하게 증가하였다. 유침기간 중 첫 5분 동안의 TP와 SDNN은 자침전 값과 유의한 차이가 없었으며 유침기간 중 마지막 5분 동안에는 다소 증가하는 경향은 있었지만 통계적인 유의성은 없었다. 반면에 조해와 비경혈에 자침한 군에서는 TP와 SDNN에 유의한 변화가 관찰되지 않았다. 발침 후에 신맥자침군에서는 조해와 비경혈 자극군과 비교해서 TP가 유의하게 변화하였다. 그러나 SDNN은 발침 후에 세 군 사이에 유의한 차이가 없었다. 결론 : 이 실험 결과는 조해와 비교했을 때 신맥에 자침한 경우 심장 기능 및 자율신경계와 관련이 있는 대체적인 활성이 증가한다는 것을 보여주었다. 이 결과는 신맥 자침이 자율신경계와 관계되어 있는 심장의 기능에 미치는 영향을 통해서 경혈의 특이성을 관찰할 수 있음을 의미한다.

• Journal of Korean Academy of Nursing
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• v.21 no.1
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• pp.41-49
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• 1991

From of old, labor has been accompanied by pain and much effort has been mode to eliminate or diminish the amounts of pain during labor. Little concern has yet been given to the subjective meaning of pain in labor. Recently, rates of cesarean section in Korea and in some other nations have increased rapidly and some investigators are reporting negative reactions such as anger, disappointment and feeling of loss due to lack of control over labor and its pain. These findings are thought to suggest that control of labor and its pain gives some meaning to the laboring woman. Thus the investigators sought to discover the meaning of pain during labor for Korean women. Specific objectives of this study were to explore the meaning of pain in labor to the mothers, their reactions to the experience of labor add their preference for delivery method. The subjects of this study were 95 mothers who delivered their babies in hospital from September 989 to May 1990 : 45 gave birth by vaginal delivery, and 50 by cesarean section. Data were gathered through direct interviews by the investigators, and questions were focused on five areas i.e. mothers' feelings about delivery and their babies, their feelings about of having more children, the most difficult aspect about this labor and delivery, and what they thought the differences were between vaginal delivery and cesarean section. After interview, mothers' answers were summarized, and classified according to the degree of positive or negative attitude. To ascertain the difference in meaning of labor pains and reaction to delivery experience between mothers delivered vaginally and by cesarean section a Median test was done using an SAS. Results were as follows. 1. More mothers who had delivered vaginally realized that they “have became a mother” than those who had a cesarean section(X$^2$＝8.409, df＝3, p＝0.038). 2. Immediate reaction to their delivery experience was more positive for mothers who had a cesarean section. 3. These Korean mothers expressed preference for vaginal delivery. Suggestions for further research on the meaning for mothers of their experience of labor, and on the meaning of pain for mothers who have a cesarean section were made.

• Environmental and Resource Economics Review
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• v.13 no.3
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• pp.387-415
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• 2004

This paper is intended to valuate air quality of the Seoul Metropolitan Area using triple-bound dichotomous choice (TBDC) contingent valuation method (CVM), supplemented by open-ended (OE) questionnaires. In the OE questionnaires, some respondents would state their willingness to pay (WTP) outside the limits of the WTP interval. It implies that WTP estimates based on the customary dichotomous choice (DC) questionnaires can be biased. We argue that the TBDC-CVM refined with OE questions is more efficient, because the latter helps purge the former of corrupted data that may have been collected by the TBDC interview process.

• Journal of Korean Society of Environmental Engineers
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• v.29 no.6
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• pp.678-683
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• 2007

We isolated a toluene-degrading bacterium, TDB-4, from a bioreactor which designed to remove volatile organic compounds (VOCs) from the contaminated air. Based on the results of 16S rRNA gene analysis, it was classified as Pseudomonas sp. The toluene degradability was estimated in the variable toluene and bacterial concentrations. The bacterial growth and degradation rate was higher in the samples supplied with 50 ${\mu}mole/vial$ of toluene than with 10 ${\mu}mole/vial$. It was decreased, however, in the samples with 100 ${\mu}mole/vial$, indicating that toluene inhibit the growth or degradation activity of TDB-4 at high concentration. When the degradation ability of other compounds was examined, TDB-4 can degrade other VOCs such as styrene, benzene, and xylene. These results will be helpful to optimize the operating conditions to improve the efficiency of a bioreactor in detoxification of VOCs.