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      • KCI등재

        박근혜 정부의 외교안보정책 구상과 한일관계

        박영준(Young-June Park) 고려대학교 일민국제관계연구원 2013 국제관계연구 Vol.18 No.2

        박근혜 정부는 “한반도 신뢰프로세스”와 “동북아 평화협력구상”을 외교안보정책의 주요 키워드로 제시하면서 출범하였다. 이 구상은 이전의 김대중, 노무현, 이명박 정부에서 표방되었던 대북정책 및 지역질서 구상과 연속성을 갖는다. 다만 박근혜 정부의 정책구상은, 북한의 핵폐기나 역사문제에 대한 일본의 성의있는 태도 변화 등 타자의 정책변화를 전제조건으로 하는 것이어서, 한국이 수행해야 할 주도적 역할에 대한 성찰이 부족하다는 한계를 갖고 있는 것으로 보인다. 이러한 한계에 더해 아베 자민당 정부의 수정주의적 보통국가화 경향으로 인해 한일관계는 최악의 상황을 맞고 있다. 일본은 한반도 신뢰프로세스나 동북아 평화협력을 위해, 우리가 활용할 여지가 많은 상대국가이다. 박근혜 정부의 대외정책 성공을 위해서도 내셔널리즘을 극복한 전략적 대일외교정책이 필요하다. The Park Geun-hye administration proposed ‘the idea of the East Asian peace and cooperation’ as well as ‘trustpolitik on the Korean peninsula’ as its foreign policy agendas. Despite a slight change of its wording, these policies succeeds her predecessors’ policies toward North Korea and the Northeast Asian region. However, President Park Geunhye’s policies seemed to lack self-propelled initiatives which will enable neighboring countries to join a road to mutual trust and cooperation. Instead the Park administration has just asked Pyongyang for denuclearization and Tokyo for a change of attitude toward an issue of past history. In addition to Park’s passive foreign policy agendas, Prime Minister Shinjo Abe’s right-wing policies have worsened the Korea-Japan relations furthermore. Considering its potential in terms of security and economics, Japan should be considered as an important partner for the implementation of President Park’s trustpolitik as well as the idea of peace and cooperation in the Eat Asia. For the success of President Park’s foreign policy agendas, Korea-Japan relations should be re-set on a normal track overcoming the nationalistic sentiment.

      • SCOPUSKCI등재

        전남지방(全南地方) 유우(乳牛)에 있어서 번식장해(繁殖障害)의 실태(實態) 및 그 혈액치(血液値)에 관(關)한 조사연구(調査硏究)

        박영준,Park, Young Jun 대한수의학회 1974 大韓獸醫學會誌 Vol.14 No.2

        A total of 331 dairy cattle in Jeonnam area were examined for the breeding status and hematological values during the period from June to August. 1971 and 1974. The data obtained were analysed according to the status of breeding and the type of farm management. The results obtained in this work were summarized as follows: 1. 331 dairy cows were grouped as pregnant (63.81%) anestrus after parturition (12.45%), pregnancy unknown (11.48%), repeat breeder (10.32%), and others (1.94%). 2. The summery of reproductive histories and clinical examination were as follows. Average of calving interval was 16.5 months, interval from parturition to first breeding 97 days and postpartum interval to first estrus 72 days. Services per conception was 1.6 rate of postpartum estrus (60 days) 12.0%, and the rate of repent breeder 10.3%. 3. Generally, the blood values of RBC, Hb, serum total protein and A/G ratio were lower than those normal values, especially, the cows which showed abnormal values belonged to the repeat breeder and the unknown to conception group. The mean value for serum inorganic phosphorus was the normal value or hyperphosphatemia, on the other hand, the mean value for serum calcium of the repeat breeder group was the lowest than the other group. 4. Follow-up evaluations on the results of the laboratory tests strongly suggest that the problems of repeat breeder had a tendency to occur more frequently in the large herd (A and B type farm), and the Ca/P ratio of almost all the cows showed abnormal values.

      • KCI등재

        M&S를 통한 지하탄약고의 격실 방폭문 내폭력 산정 연구

        박영준,백종혁,손기영,Park, Young Jun,Baek, Jonghyuk,Son, Kiyoung 한국군사과학기술학회 2016 한국군사과학기술학회지 Vol.19 No.3

        An underground ammunition facility requires less quantity distances than the aboveground counterpart. However, chamber blast doors which resist the high blast-pressures are necessary for prevention of the consecutive explosions when an accident explosion occurs at any chamber. This paper aims to propose an procedure for calculation of the design loads for the chamber blast doors. Modeling considerations are drawn through analyzing the influences of the geometrical shapes and mechanical properties of rocks on the propagation of pressure wave along with the tunnels. Additionally, the design loads for the chamber blast doors in a newly-built underground ammunition facility are calculated based on the proposed procedure.

      • KCI등재

        우리나라 성인에서 수면 시간과 비만과의 관련성

        박영준,임현우,박용문,이원철,Park, Young-Jun,Yim, Hyeon-Woo,Park, Young-Moon,Lee, Won-Chul 대한예방의학회 2007 예방의학회지 Vol.40 No.6

        Objectives : Obesity is currently an epidemic in Korea, and sleep duration is thought to be one of the risk factors for obesity. The objective of this study was to test the hypothesis that short sleep duration is associated with obesity in Korean adults. Methods : The data from the 2001 Korean National Health and Nutrition Survey were used, and 6,174 subjects aged $18{\sim}80$ years were included in the analysis. Sleep duration was measured using information obtained from self-reported questionnaires. Obesity, the main outcome variable, was measured according to body mass index. Multiple regression modeling was used to adjust for potential confounding variables. Results : The study results revealed a negative association between sleep duration and body mass index among Korean adults. These associations persisted after controlling for the potential confounding variables. Conclusions : These findings support the hypothesis that sleep duration is associated with obesity in Korean adults. In addition, these observations support earlier experimental sleep studies and provide a basis for future studies on weight control intervention by increasing the amount of sleep.

      • KCI등재

        무인이동체와 딥러닝 기반 이미지 분석 기술을 활용한 철도교량 자동 손상 분석 방법 연구

        나용현,박미연,Na, Yong Hyoun,Park, Mi Yeon 한국재난정보학회 2021 한국재난정보학회 논문집 Vol.17 No.3

        연구목적: 본 연구에서는 무인이동체를 활용한 철도교량의 외관조사 점검을 보다 효율적이고 신뢰성 있게 점검을 위하여 무인이동체를 통해 촬영된 이미지를 바탕으로 다양한 방식의 딥러닝 기반 자동 손상 분석기술을 검토하였다. 연구방법: 취득된 이미지를 바탕으로 손상항목을 정의하고 학습데이터로 추출하여 딥러닝 분석 모델을 생성하였다. 그리고 철도교량의 외관 손상 중 균열, 콘크리트 박리·박락, 누수, 철근노출에 대한 손상 이미지를 학습한 모델을 적용하여 자동 손상 분석 결과로 테스트하였다. 연구결과: 분석 결과 평균 95%이상 검측 재현율을 도출하는 분석 기법을 검토할 수 있었다. 이와 같은 분석 기술은 기존 육안점검 결과 대비 보다 객관적이고 정밀한 손상 검측이 가능하다. 결론: 본 연구를 통해 개발된 기술을 통해 철도 유지관리 분야에서 무인이동체를 활용한 정기점검 시 자동손상분석을 통한 객관적인 결과도출과 기존 대비 소요시간, 비용저감이 가능할 것으로 기대된다. Purpose: In this study, various methods of deep learning-based automatic damage analysis technology were reviewed based on images taken through Unmanned Aerial Vehicle to more efficiently and reliably inspect the exterior inspection and inspection of railway bridges using Unmanned Aerial Vehicle. Method: A deep learning analysis model was created by defining damage items based on the acquired images and extracting deep learning data. In addition, the model that learned the damage images for cracks, concrete and paint scaling·spalling, leakage, and Reinforcement exposure among damage of railway bridges was applied and tested with the results of automatic damage analysis. Result: As a result of the analysis, a method with an average detection recall of 95% or more was confirmed. This analysis technology enables more objective and accurate damage detection compared to the existing visual inspection results. Conclusion: through the developed technology in this study, it is expected that it will be possible to analysis more accurate results, shorter time and reduce costs by using the automatic damage analysis technology using Unmanned Aerial Vehicle in railway maintenance.

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