• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.57-66
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• 2004

When we estimate an origin-destination matrix from traffic counts. origin-destination matrix estimation from traffic counts according to the selected optimal traffic counting links is method for improving the results of origin-destinaation matrix estimation and for increasing economic efficiency. This paper proposed model of selecting traffic counting links using integer program technique, and selected a traffic counting links using this model, and estimated and origin-destingtion matrix from traffic counts according to the selected optimal traffic counting links. Also, we compared a result of estimating origin-destination matrix from the selected optimal traffic counting links using this model to a result of estimating origin-destination matrix from the randomly selected traffic counting links. The error analysis result was more improved a result of origin-destination matrix estimation using this model than a result of randomly selected links.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.4
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• pp.101-113
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• 2009

This paper reports the results of the analysis on the access points of two bibliographic databases specialized in children's materials: "A" public library's online catalog and "N" children's novel database. The analysis particularly focused on the access points that lead users to discover their own needs and on the ways users search and navigate. The findings showed that the selected bibliographic systems supported many access points that were taken from the materials as well as from other relevant information sources and that browsing and navigating with hyperlinks supported the users' 'recognition' of information through 'interactivity' between the users and the systems, 'information encountering,' and 'serendipity.' The findings of this paper have implications for librarians and systems designers who want to develop user-friendly bibliographic systems that give access to children's materials.

• Conservation Science in Museum
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• v.10
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• pp.29-42
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• 2009

This paper explores the types (species of trees) of 25 pieces of waterlogged wood excavated from the area between Gwangju and Jangseong during road expansion by the Gwangju National Museum. These 25 pieces of wood include nine pieces of Quercus (Lepidobalanus Cerris)sp., six pieces of Quercus (Lepidobalanus Prinus)sp., three pieces of Castanea sp., two pieces of Salix sp., one piece of Alnus sp., one piece of Prunus sp., one piece of Morus sp., one piece of Chionanthus sp., and one piece of Acanthopanax sp.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.551-555
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• 2004

본 연구는 건설교통기술혁신 사업의 일환으로 '국가기준점의 관리 및 위치정보서비스 제공을 위한 전자표지석 개발' 과제에 관한 연구내용 및 결과를 중심으로 하고 있으며, 주 내용은 2차 년도 연구에서 수행한 TOA(Time Of Arrive) 방식을 적용한 전자표지석 개발에 관한 것이다. 본 연구의 궁극적인 목적은 국가기준점을 효율적으로 관리하기 위한 새로운 방안을 제시하는 것으로, 기준점의 현황을 실시간 모니터링하고 기준점의 위치파악을 용이하게 할 수 있는 시스템을 연구하는 것이다. 이를 위해 기준점의 현황을 모니터링 가능하도록 기준점의 움직임을 파악할 수 있는 센서를 부착하였고, 편리한 기준점 위치파악을 위하여 TOA(Time Of Arrive) 방식을 적용한 전자표지석의 설계 및 시제품을 제작하였다. 연구결과를 기준점 관리에 활용하기 위한 시제품을 개발하였다.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.73-80
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• 2003

In this paper we propose an algorithm which matches the corresponding feature points between the reference image and the search image. We use Harris's corner detector to find the feature points in both image. For each feature point in the reference image, we can extract the candidate matching points as feature points in the starch image which the normalized correlation coefficient goes greater than a threshold. Finally we determine a corresponding feature points among candidate points by using dynamic programming. In experiments we show results that match feature points in synthetic image and real image.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.145-153
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• 2018

SSL (Secure Socket Layer) and TLS (Transport Layer Security) are widely used protocols for secure and encrypted communication over a computer network. However, there have been reported several security vulnerabilities of SSL/TLS over the years. The vulnerabilities can let an adversary carry out critical attacks on SSL/TLS enabled servers. In this paper, we have developed a system which can periodically scan SSL/TLS vulnerabilities on internal network servers and quickly detects, reports and visualizes the vulnerabilities. We have evaluated the system on working servers of Naver services and analyzed detected vulnerabilities. 816 vulnerabilities are found on 213 internal server domains (4.2 vulnerabilities on average) and most vulnerable servers are not opened to public. However, 46 server domains have old vulnerabilites which were found 2016. We could patch and response to SSL/TLS vulnerabilites of servers by leveraging the proposed system.

• Proceedings of the KAIS Fall Conference
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• 2002.05a
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• pp.151-154
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• 2002

반도체 소자의 기판 재료로 사용되고 있는 실리콘 웨이퍼는 그 정밀도가 매우 중요하다. 본 연구에서는 균일한 Dopant 농도 분포를 얻을 수 있는 중성자 변환 Doping을 이용하여 실리콘에 인(P)을 Doping하는 연구를 수행하였다. 중성자 변환 Doping, 즉 NTD(Neutron Transmutation Doping)란 원자번호 30인 실리콘 동위원소에 중성자가 조사되면 원자번호 31인 실리콘으로 변환되고, 2.6시간의 반감기를 갖고 decay 되면서 인(P)으로 변하게 되어 실리콘 웨이퍼에 n-type 전도를 갖게 하는 것을 말한다. 본 연구에서는 하나로 원자로를 이용하여 고저항(1000-2000Ωcm) FZ 실리콘 웨이퍼 에 두 개의 조사공에서 중성자 조사하여 저항의 변화를 관찰하였고, 중성자 조사시 발생하는 점결함을 분석하여 점결함이 저항 변화에 미치는 영향을 알아보았다. 중성자 조사 전 이론적 계산에 의해 HTS조사공은 5Ωcm, 20.1Ωcm 이고 IP3조사공은 5Ωcm, 26.5Ωcm, 32.5Ωcm 이었고, 중성자 조사 후 SRP로 측정한 결과 실제 저항값은 HTS-1 2.10Ωcm, HTS-2 7.21Ωcm 이었고, IP-1은 1.79Ωcm, IP-2는 6.83Ωcm, 마지막으로 IP-3는 9.23Ωcm 이었다. DLTS 측정 결과 IP조사공에서 새로운 피의 결을 발견할 수 있었다.

• Journal of Korean Orthopaedic Sports Medicine
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• v.8 no.1
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• pp.19-25
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• 2009

Purpose: We report mid to long - term results of meniscal transplantation and evaluate the important factors for successful outcomes. Materials and Methods: Between December 1999 and September 2002, 25 meniscal transplantations were performed using fresh frozen allograft. The lateral meniscus was transplanted in 19 cases and medial meniscus in 6 cases. The mean age was 34 years (range, 17~50 years) and the mean follow up was 54.8 months (range, 6~85 months). Preoperative measurements were made using a ruler graded in millimeters. Lateral meniscus was fixed by keyhole technique and medial meniscus was fixed by double bone plug technique with suturing the periphery of the meniscal transplant. All patients were evaluated with Knee Assessment Scoring System (KASS), Lysholm knee score, and Tegner activity scale for daily activity. Results: Symptoms improved in all cases. The average KASS score increased from 61.7 preoperatively to 83.8 postoperatively. The average Lysholm knee score increased from 77.7 preoperatively to 87.7 postoperatively (excellent in 3 cases, good in 17 cases, fair 4 cases, poor 1 case). But painful swellings were 3 cases, numbness in 1 case, and granuloma due to non-absorbable suture material in 1 case. Peroneal nerve palsy in 1 case was recovered after 6 weeks postoperatively. Conclusion: Meniscal allograft transplantation after subtotal or total menisectomy can significantly relieve pain and improve function of the knee joint. The exact preoperative sizing and secure fixation are essential for successful outcomes.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.77-89
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• 2001

Applying perceptual hierarchy of facial feature points, a neural network model for recognizing facial expressions was designed. Input data were convolution values of 150 facial expression pictures by Gabor-filters of 5 different sizes and 8 different orientations for each of 39 mesh points defined by MPEG-4 SNHC (Synthetic/Natural Hybrid Coding). A set of multiple regression analyses was performed with the rating value of the affective states for each facial expression and the Gabor-filtered values of 39 feature points. The results show that the pleasure-displeasure dimension of affective states is mainly related to the feature points around the mouth and the eyebrows, while a arousal-sleep dimension is closely related to the feature points around eyes. For the filter sizes. the affective states were found to be mostly related to the low spatial frequency. and for the filter orientations. the oblique orientations. An optimized neural network model was designed on the basis of these results by reducing original 1560(39x5x8) input elements to 400(25x2x8) The optimized model could predict human affective rating values. up to the correlation value of 0.886 for the pleasure-displeasure, and 0.631 for the arousal-sleep. Mapping the results of the optimized model to the six basic emotional categories (happy, sad, fear, angry, surprised, disgusted) fit 74% of human responses. Results of this study imply that, using human principles of recognizing facial expressions, a system for recognizing facial expressions can be optimized even with a a relatively little amount of information.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.688-701
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• 2020

Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.