• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.245-248
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• 2004

It is certain that the future manufacturing environment will be network-centric and spatially distributed based on Internet. Today, wide variety of distributed computing and communication technologies are available for implementing a system for product data exchange and sharing. One of the technologies that have been received most attentions for product data exchange and sharing is Product Data Management (PDM). PDM tries to integrate and manage process of data and technical documents that are connected to physical product components. In accordance to previous researches about PDM, it can be regarded as an integration tool of many different areas, which ensures that the right information is available to the right person at the right time and in the right form throughout the enterprise. PDM with Web-enabled CAD system is proposed in this paper in order to acknowledge the usefulness of the system mentioned. The system will use Web service on Visual Studio C#.Net to invoke the web application system.

• International Journal of Automotive Technology
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• v.7 no.2
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• pp.195-199
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• 2006

According to the United States FMVSS 208, every passenger car on the market after September of 2006 must install a safety system, which can deploy the airbag with different intensity or suppression based on the passenger type, to reduce infant and child injuries from airbag deployments. The Weight Classification System, which has been developed by Hyundai Autonet, is a system that classifies the person occupying the passenger seat. To overcome sensing problems due to the weight sensors small voltage, the Distributed Systems Interface is adopted.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.21 no.1
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• pp.1-12
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• 2017

Objectives Some major Chinese medical classics like Huangdineijing (黃帝內經) and Nanjing (難經) assert that a normal person breaths 13,500 times every day. It's just half of real breathing cycles of human. So I tried to find a reasonable explanation to solve this conflict between truth and literal description. Materials and methods To find breath count descriptions in Chinese ancient books, I used Kanseki Repository (http://kanripo.org/). To find precedent research on this topic, I used China National Knowledge Infrastructure (http://cnki.net). Results 33 books refers to human breath cycles for a day, and most of them introduce 13,500 as human breathing frequency of one day. Some recent papers on Laoguanshan (老官山) Western Han dynasty manuscripts show new clues on this topic. Conclusion I assume that 13,500 cycles, the incorrect human breathing frequency of a day, might be originated from adjusting the meaning and usage of the word "Xi (息)".

• Korean Journal of Agricultural Science
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• v.44 no.3
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• pp.424-439
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• 2017

This study was undertaken to examine the profit efficiency and its determining factors, the investment opportunity, and the challenges of shea butter producers in the northern region of Ghana. The methods employed in this research were the Stochastic Profit Frontier (SPF) model, gain-cost and investment return analyses, as well as Kendall's W statistic using primary data collected from 120 purposively-selected respondents. Results from the analysis indicated that profit efficiency was positively influenced by sex, household size, marital status, educational level, transportation cost, store rent, and price of shea nut with a gain in profit efficiency of 58.5%. The investment analysis demonstrated a net gain per person of $8,077 equivalent to GH₵ 28,270 Ghanaian cedi (GH₵) using 2016 exchange rate (GH₵ 3.5 = $1). Among the challenges identified, the poor quality of shea nuts was the most prioritised challenge with 72.8% agreement among the respondents. Based on these findings, it was recommended that proper training and education, as well as improvement in shea nut quality, should be promoted to improve the profit efficiency of shea butter producers.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.558-561
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• 2021

심리학에서 사람의 심리 상태를 알아보기 위해 사용되는 검사 방법 중, 집-나무-사람 검사(HTP Test)는 피실험자가 그린 집, 나무, 사람을 포함하는 그림을 사용하여 피실험자의 심리를 분석하는 투영 검사법이다. 본 논문에서는 딥러닝 모델을 이용해 HTP Test 에 사용되는 그림을 분석하는 시스템을 제안하며, 성능 평가를 통해 심리학에서의 딥러닝 모델 적용 가능성을 확인한다. 또한 그림 데이터 분석에 적합한 사전 훈련 모델을 개발하기 위해, ImageNet 과 스케치 데이터셋으로 사전 훈련하여 성능을 비교한다. 본 논문에서 제안하는 시스템은 크게 감정 분석을 위한 이미지 객체 추출부, 추출된 객체로 피실험자의 감정을 분류하는 감정 분류부로 구성되어 있다. 객체 추출과 이미지 분류 모두 CNN(Convolution Neural Network) 기반의 딥러닝 모델을 사용하며, 이미지 분류 모델은 서로 다른 데이터셋으로 모델을 사전 훈련한 후, 훈련 데이터셋으로 전이 학습하여 모델의 성능을 비교한다. 그림 심리 분석을 위한 HTP test 스케치 데이터셋은, HTP Test 와 동일하게 피실험자가 3 개 클래스의 집, 나무, 사람의 그림을 그려 자체 수집하였다.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.173-193
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• 2005

Objectives: The purpose of this study is to analyze the peer group factor related to adolescent smoking in the social structure(network) of adolescent groups, by applying the theory of social network. Methods: The data was collected from boy students of one high school located in Gun-Po city of Kyonggi Province. The total number of the sample was 605(223 first grade, 198 second grade, 184 third grade). The survey using the questionnaire was carried out in April 2005. Social position is finally classified as clique member, liaison, isolate group by using the NetMiner II 2.5 version. Results: The current smoking rate was 15.0%, and the life-time smoking rate was 34.9%. The smoking rate increased significantly, as the grade went up. And it was significantly high among the group having smoking friends. The logistic regression analysis showed that the odds ratio of the smoking friends group was about 4 times higher than the no smoking friends group in experience of smoking. But the smoking rate was higher significantly in the isolate group within the network composed of 2. person's social-link. The odds ratio of the isolate group was about 4.5 times higher than the clique member. However, this pattern was not found in the network composed of 3 person's social-link. Therefore, the hypothesis that clique member would have a correlation with smoking was rejected. In reality, the isolate group had a tendency of smoking more frequently. Conclusions: The result of this study suggests that the role of the peer group in smoking is to be considered in the prevention program. More attentions should be paid for the isolate group.

• Survey Research
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• v.3 no.1
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• pp.65-90
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• 2002

The purpose of this study is to develope an appropriate method of the household projection in Korea. Given the data constraints, the headship rate method is selected. This method is known to be responsive to changes in demographic factors related to household formation. To project future headship rates, the method of net transition rates based on the average of two-census intervals was adopted for household heads ages 35 and over, while the log-linear formula was employed for those aged under 35. The future headship rate of Korean males shows a one-peak pattern with plateau, whereas that of Korean females marks a two-peak pattern. For a better projection of household in the future, one-person households should be treated more carefully, because they are mostly either young adults or the elderly whose activities of household formation and dissolution are very hard to forecast.

• The KIPS Transactions:PartB
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• v.18B no.4
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• pp.231-240
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• 2011

Many search algorithms have been implemented by many researchers on the world wide web. One of the best algorithms is Google using PageRank technology. PageRank approach computes the number of inlink of each documents then ranks documents in the order of inlink members. But it is difficult to find the results that user needs, because this method find documents not valueable for a person but valueable for the public. To solve this problem, We use the WordNet for analysis of the user's query history. This paper proposes a personalized search engine using the user's query history and PageRank Check. We compared the performance of the proposed approaches with google search results in the top 30. As a result, the average of the r-precision for the proposed approaches is about 60% and it is better as about 14%.

• Korea Journal of Hospital Management
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• v.4 no.1
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• pp.147-170
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• 1999

This study was performed to assess the financial performance of medical institutions and examine the affecting factors in Taegu metropolitan and Kyungpook province. The major results are as follows ; The liability to total assets was significantly different according to the ownership type of medical institution. It was the highest in the case of juridical person having a special status. The total assets turnover and value added to total assets were significantly different according to the type of medical institution, period of establishment, and ownership type of medical institution. They were higher in the tertiary medical institution, in private hospital and university hospital, and they were increased with establishment period of medical institution. The growth rate of patient revenues were significantly different according to the type of medical institution, period of establishment, and the growth rate of adjusted inpatient days were significantly different by period of establishment. The return on assets and net profit to gross revenues were the highest in private hospital. Private hospital went into the black, but other hospitals went into the red figures. According to the multiple regression analysis for the net profit to gross revenues, ownership type, period of establishment, and management strategy of medical institution were significant It was higher in private hospital and medical institution with prospector management strategy, and it was increased with establishment period of medical institution. In multiple logistic regression analysis for the status of financial performance in medical institution, period of establishment, management strategy of medical institution were significant It was better in medical institution with prospector management strategy and longer period of establishment.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.45-53
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• 2020

The purpose of this paper is to reduce the ratio of the patient accidents that may occur in nursing hospitals. In other words, it determines whether the person approaching the dangerous area is a elderly (patient uniform) group or a practitioner(Casual Clothing) group, based on the clothing displayed by CCTV. We collected the basic learning data from web crawling techniques and nursing hospitals. Then model training data was created with Image Generator and Labeling program. Due to the limited performance of CCTV, it is difficult to create a good model with both high accuracy and speed. Therefore, we implemented the ResNet model with relatively excellent accuracy and the YOLO3 model with relatively excellent speed. Then we wanted to allow nursing hospitals to choose a model that they wanted. As a result of the study, we implemented a model that can distinguish patient and casual clothes with appropriate accuracy. Therefore, it is believed that it will contribute to the reduction of safety accidents in nursing hospitals by preventing the elderly from accessing the danger zone.