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      • KCI등재후보

        Platelet-Rich Plasma (PRP)가 토끼 척골의 분절 결손의 치료로 이식된 동종 장관골의 골유합에 미치는 효과

        송주현,정진영,강용구,이한용,손문익,서상일 대한골절학회 2003 대한골절학회지 Vol.16 No.3

        목적: 골종양 환자나 외상, 골수염, 인공관절 치환술 등의 환자 등의 환자 치료에 많이 사용하는 장관골의 동종 이식에 대한 PRP (Platelet-Rich Plasma)의 효과를 토끼를 이용한 실험으로 알아보고자 하였다. 대상 및 방법: 20마리의 토끼를 대상으로 각각에 일련번호를 붙이고, 각 토끼의 양측 척골에 약 2㎝ 길이의 골편을 얻어 장관골 결손을 만들고 동시에 동종 장관골을 얻어, 홀수 토끼의 척골 골편을 짝수 토끼의 골결손 분위에 이식하고, 반대로 짝수 토끼의 척골 골편을 홀수 토끼의 골결손 분위에 이식하였다. 그 후 각 토끼의 좌측 척골 이식 부위에는 아무런 처치를 하지 않고 대조군으로 삼고, 우측 척골 이식부에는 PRP 0.7cc를 처치하여 실험군으로 삼았다. 술 후 0, 4, 8, 12주에 골이식부에 대한 방사선 촬영을 통하여 골유합 성적을 평가 비교하였다. 결과: 실험군의 척골 분절 결손부에서는 대조군에서보다 동종 분절골 이식부의 골유합이 방사선학적으로 향상된 것을 관찰 할 수 있었다. 결론: 동종 장관골 분절 이식시 PRP를 병용하여 사용할 경우 더욱 효과적인 신생조직 형성을 유도할 수 있으며, 임상에도 유용하게 적용할 수 있으리라 사료된다. Purpose: The purpose of this study was to evaluate the effect of Platelet-Rich Plasma(PRP) on the healing of the allograft for the treatment of the segmental bone defect of the ulna in Rabbits. Materials and Methods: About 2 ㎝-sized segmental bone defects were created on both ulna of twenty rabbits. The rabbits were divided into two groups, even and odd number groups after numbering them from 1 to 20. The segmental bone from the odd numbered animal was transplanted to the even numbered animal, and the even numbered to the odd numbered. The left side of the ulna was grafted with a segmental allograft only. The right side of the ulna was grafted with a segmental allograft and 0.7cc of PRP. Radiographs obtained at 0, 4, 8, and 12 weeks postoperatively were graded for radiologic union. Result: The use of the combination of PRP and segmental allograft demonstrated improved healing on radiographic study compared with that demonstrated after use of allograft alone. Conclusion: The results of the study suggests that the use of the combination of PRP and segmental allograft can be considered as an alternative method to manage the segmental defect of the long bone.

      • How to Mitigate Signal Dragging during Wardriving

        Jinyoung Han,Jeongkeun Lee,Kwon, T.,Daehyung Jo,Taejoon Ha,Yanghee Choi IEEE 2010 IEEE pervasive computing Vol.9 No.1

        <P>In wardriving, test devices in moving vehicles measure received signal strengths (RSSs) from nearby base stations (BSs) and record them with location information, which is a key component in localization technologies. In this article, the authors analyze the wardriving data in real WCDMA, GSM, and Wi-Fi networks and describe how signal dragging degrades their performance. They also propose three methods for postprocessing wardriving data to filter out any outdated BS information, thereby mitigating this effect.</P>

      • SCIESCOPUS

        Predicting content consumption from content-to-content relationships

        Han, Jinyoung,Choi, Daejin,Chung, Taejoong,Chuah, Chen-Nee,Kim, Hyun-chul,Kwon, Ted Taekyoung Academic Press 2019 Journal of network and computer applications Vol.132 No.-

        <P><B>Abstract</B></P> <P>As the majority of Internet traffic today is attributed to content-centric applications, there has been ever-increasing demand for highly scalable and efficient content delivery. An accurate prediction on future content consumption is essential for such demand. To address such an issue, this paper introduces a new computational approach, <I>Content Network (CN)</I> that can capture the relations among contents, and its potential applications. We conduct a measurement study to investigate how contents are inter-related from the viewpoint of content spreading on one of the popular BitTorrent portals: The Pirate Bay. Based on the large-scale dataset that contains 18 K torrents and 9 M users, we construct the CN and investigate its structural properties. Our key finding is that contents in the same community in the CN (i) belong to the same content category with 94% probability, (ii) are uploaded by the same content publisher with 76% probability, and (iii) have the similar titles with 51% probability, which implies that contents in the same community collectively contain common (shared) interests of users. Our trace-driven study demonstrates that the proposed CN model is useful in (i) content recommendation for increasing sales and (ii) content caching for networking efficiency. We believe our work can provide an important insight for content stakeholders, e.g., content providers for efficient publishing strategies, network engineers for networking efficiency, or content marketers for accurate recommendation.</P>

      • KCI등재

        토픽모델링을 활용한 대체불가토큰(NFT) 관련 연구 동향 분석

        한진영(Jinyoung Han),이민정(Minjeong Lee),이지인(Jiin Lee) 한국콘텐츠학회 2022 한국콘텐츠학회논문지 Vol.22 No.11

        대체불가토큰(Non-Fungible Token: NFT)은 현재 예술, 엔터테인먼트, 게임을 중심으로 급성장하고 있으며, 메타버스를 중심으로 패션, 마케팅 산업에도 적극적으로 도입되고 있다. NFT는 이제 산업이 형성되고 있어 NFT와 관련된 연구는 아직 탐색적인 수준이다. 본 연구에서는 2018년부터 2022년 6월까지 출간된 NFT 관련 국내외 논문 각각 95편, 153편의 서지정보를 LDA 기법으로 토픽모델링을 수행하였다. 이를 통해 키워드간 관계성, NFT 관련 분야 전체 연구의 구조를 살펴보고 국내외 NFT 관련 연구 주제의 유사점과 차이점을 비교하였으며, 분석결과와 선행연구를 기반으로 NFT 분야의 향후 연구 방향을 제시하였다. 본 연구는 NFT 관련 국내외 연구를 통합하여 진행한 첫 리뷰 연구로서 의의가 있으며 실무적으로 NFT 산업 초기 단계에 정부가 관련 정책 수립하는데 현황을 파악하고, 정부의 역할을 인지하는데 기여할 것으로 기대한다. Non-Fungible Token (NFT) is rapidly growing centered on arts, entertainment, and games. In this study, topic modeling was performed using LDA method on the bibliographic information of 95 and 153 NFT-related domestic and international studies. The results show that the relationship between keywords and the structure of the overall NFT-related research, and the similarities and differences between domestic and international topics. Based on the results and previous studies, future research directions are suggested. This study is the first review study conducted by integrating domestic and international studies related to NFT. Practically, the suggestions of the study will contribute to understanding the government’s role in establishing related policies in the early stages of the NFT industry.

      • KCI등재

        기업의 빅데이터 활용에 관한 실증연구

        한진영(Jinyoung Han),조철현(Chulhyun Cho),손인수(Insoo Son) 한국인터넷전자상거래학회 2015 인터넷전자상거래연구 Vol.15 No.6

        Big data has been recently recognized as a strategic tool to enhance firms’ competitiveness and one of the growth engines that create new knowledge industries. Accordingly, domestic and global market of big data is expected to grow in a rapid pace. Firms are also trying to figure out how to effectively use big data for their market competence. Despite the positive market expectations and firms’ growing interest, there has been a paucity of empirical studies on the use of big data in corporate environment. To bridge such gap, this study conducts a case study regarding an integrated customer log system at a Korean home shopping firm. For the case, the study explores the business backgrounds of introducing the system, its technical features, implementation procedure, benefits and practical implications. Our study contributes to IS research by expanding existing literature to empirical analysis for the corporate use of big data and can be used as a reference to understand the direction of implementing and utilizing big data system for strategic purposes.

      • KCI등재

        의료기관 개인정보관리 수준 평가모델 연구

        한진영(Jinyoung Han),이수진(Sujin Lee) 한국인터넷전자상거래학회 2014 인터넷전자상거래연구 Vol.14 No.6

        The personal healthcare information(PHI) could be more critical and serious if it leaked. The financial and mental damage of PHI leakage could threaten our society as well as individuals. The widespread concern for the privacy issues have been increasing since 2012 in South Korea. In this study, we propose the assessment model for PHI targeting medium-sized and specialty hospitals. The model is composed of the processes for handling PHI life-cycle and measurements according to PDSA(plan-do-see-action) cycle. This study investigates the law and guidelines relating to privacy - PIMS (Personal Information Management System), PIPL(Personal Information Protection Level), PIA (Privacy Impact Assessment), and KOIHA(Korea Institute for Healthcare Accreditation) - to build a new assessment model. The new model is adapted to a Korean specialty hospital (C hospital) which is a medium-sized healthcare institution. The results show that the hospital gets relatively higher scores in ‘do’ process than in ‘plan’, ‘see’, and ‘action’ processes. The assessment model shows usability, comprehensiveness, and concreteness in the exploratory case. Future research should focus on emerging technology and global standards resulting in improving assessment’s effectiveness.

      • KCI등재

        프라이버시에 대한 감정이 프라이버시 보호 행동에 미치는 영향: 카드사 개인정보 유출사건을 중심으로

        한진영(Jinyoung Han),김형진(Hyungjin Lukas Kim),손인수(Insoo Son) 한국인터넷전자상거래학회 2021 인터넷전자상거래연구 Vol.21 No.3

        Due to the government"s policy of vitalizing credit card use, it has become the most common payment method in Korea. Daily use of credit card and related information technologies raise the importance of protecting personal information. However, there happened a huge leakage of about 100 million personal information from three major Korean credit card companies in 2014. Despite such a serious information security accident, the “Take No Action” paradox, which does not comply with the privacy rules based on reasonable and rational judgment, is still prevalent. This study examines how consumers’ emotion toward privacy affects their information protection behavior. We also compare the effects of cognitive evaluation and rational calculation on behavioral intention and actual behavior. The results show that consumer"s emotional and cognitive evaluation had a significant effect on their personal information protection behavior. This study contributes to extant literature by considering consumers’ emotional aspect of information security and empirically examining its effect on information protection behavior. This study also provides theoretical and practical implications by comparing and analyzing protection behavior between people who experienced personal information leakage and those who did not.

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