RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
        • 주제분류
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재후보

        Temporary Labor Migration: A Rights-based Approach

        Stine Neerup 숙명여자대학교 아시아여성연구원 2014 OMNES: The Journal of Multicultural Society Vol.4 No.2

        Temporary labor migrants in general are more negatively affected by slowed economic growth than native-born. This adds to popular perceptions of temporary migration having an overall negative financial impact on host countries even during times of significant economic growth. Strong policy responses include tightened borders and limited access to services where migrants are admitted entry. This article documents a growing disjuncture between territorial jurisdiction and membership rights, where significant rights are withheld from this group of migrants on he grounds that they will never be members. The mismatch between rights given up and rights granted for this group causes a short to long-term rights gap for non-citizen residents. The article argues that this rights gap is not only unjust, but also harmful to the actors involved in the migration process (states and migrants). Linking normative political theorywith cosmopolitan utilitarian deliberations, I discuss the legitimacy of withholding rights from non-citizen residents as well as state responsibilities towards minimizing the identified rights gap. I suggest how nation-states and migrants can minimize the costs of employing migration as a labor market and livelihood strategy, and how they can draw mutual benefits from an increasingly human centered rights-based policy approach. The article concludes that if the rights and entitlements of migrants were expanded, enabling different choices of entry and exit, outcomes for origin and receiving countries as well as for the migrants themselves could be improved. Ultimately, it makes a case for a moral and utilitarian acceptance of a liberal extension of rights.

      • Problem Solving in Educational Administration: A Case Study

        Deborah E. Stine 대한사고개발학회 1999 The International Journal of Creativity & Problem Vol.9 No.1

        Leadership in Educational Administration is of extreme importance to the excellence of the school systems. Gabarro (1987), provides a conceptual framework in stage format for the case study of a middle school principal succession. This stage framework attempts to synthesize the impacts of leadership, change, and culture of the organization across time. Stages used to examine this case study include: 1) taking hold, 2) immersion, 3)reshaping, 4) consolidation, and 5) refinement. Success most frequently occurred when new managers: a) assess the organizations and diagnose its problems, b) build a management team focused on a set of shared expectations, and c) bring about timely changes that address organizational problems. This principal succession validates Gabarro's stages, looking towards the impact of leadership behaviors. It portrays them, however, in a cyclical nature, one that allows for overlap into previous stages for reinterpretation. This case study provides a vehicle for examining ways in which a new leader may increase his/her effectiveness in the schools and illustrates the impact that a single leader with a vision can, through stages, have upon the future of a school.

      • Decision Making - A Leadership Model

        Deborah E. Stine 대한사고개발학회 1997 The International Journal of Creativity & Problem Vol.7 No.2

        "Decision Making - A leadership Model" discusses the components of administrative judgement and critical thought in the decision-making process. It is then directly applied to the preparation of our educational leaders. Current literature and research is reviewed as indicating that many errors are made in judgement in the decision-making process. This paper discusses the literature and enumerates the safeguards that may be used by the site administrator to overcome the use of availability and representative heuristics in reaching practical decisions at the school site. Also held to exploratory examination are the methods that may be employed to allow transference of these principles to inspire critical thought in our students - the leaders of tomorrow

      • KCI등재

        잘피 서식지 모니터링을 위한 딥러닝 기반의 드론 영상 의미론적 분할

        전의익,김성학,김병섭,박경현,최옥인,Jeon, Eui-Ik,Kim, Seong-Hak,Kim, Byoung-Sub,Park, Kyung-Hyun,Choi, Ock-In 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.2

        잘피는 연안해역에 서식하는 해양수생관속식물로 해양생태계의 중요한 역할을 하고 있어, 주기적인 잘피 서식지의 모니터링이 이루어지고 있다. 최근 효율적인 잘피 서식지의 모니터링을 위해 고해상도의 영상 획득이 가능한 드론의 활용도가 높아지고 있다. 그리고 의미론적 분할에 있어 합성곱 신경망 기반의 딥러닝이 뛰어난 성능을 보임에 따라, 원격탐사 분야에 이를 적용한 연구가 활발하게 이루어지고 있다. 그러나 다양한 딥러닝 모델, 영상, 그리고 하이퍼파라미터에 의해 의미론적 분할의 정확도가 다르게 나타나고, 영상의 정규화와 타일과 배치 크기에서도 정형화되어 있지 않은 상태이다. 이에 따라 본 연구에서는 우수한 성능을 보여주는 딥러닝 모델을 이용하여 드론의 광학 영상에서 잘피 서식지를 분할하였다. 그리고 학습 자료의 정규화 및 타일의 크기를 중점으로 결과를 비교 및 분석하였다. 먼저 정규화와 타일, 배치 크기에 따른 결과 비교를 위해 흑백 영상을 만들고 흑백 영상을 Z-score 정규화 및 Min-Max 정규화 방법으로 변환한 영상을 사용하였다. 그리고 타일 크기를 특정 간격으로 증가시키면서 배치 크기는 메모리 크기를 최대한 사용할 수 있도록 하였다. 그 결과, Z-score 정규화가 적용된 영상이 다른 영상보다 IoU가 0.26 ~ 0.4 정도 높게 나타났다. 또한, 타일과 배치 크기에 따라 최대 0.09까지 차이가 나타나는 것을 확인하였다. 딥러닝을 이용한 의미론적 분할에 있어 정규화, 타일의 배치 크기의 변화에 따른 결과가 다르게 나타났다. 그러므로 실험을 통해 이들 요소에 대한 적합한 결정 과정이 있어야 함을 알 수 있었다. A seagrass that is marine vascular plants plays an important role in the marine ecosystem, so periodic monitoring ofseagrass habitatsis being performed. Recently, the use of dronesthat can easily acquire very high-resolution imagery is increasing to efficiently monitor seagrass habitats. And deep learning based on a convolutional neural network has shown excellent performance in semantic segmentation. So, studies applied to deep learning models have been actively conducted in remote sensing. However, the segmentation accuracy was different due to the hyperparameter, various deep learning models and imagery. And the normalization of the image and the tile and batch size are also not standardized. So,seagrass habitats were segmented from drone-borne imagery using a deep learning that shows excellent performance in this study. And it compared and analyzed the results focused on normalization and tile size. For comparison of the results according to the normalization, tile and batch size, a grayscale image and grayscale imagery converted to Z-score and Min-Max normalization methods were used. And the tile size isincreased at a specific interval while the batch size is allowed the memory size to be used as much as possible. As a result, IoU was 0.26 ~ 0.4 higher than that of Z-score normalized imagery than other imagery. Also, it wasfound that the difference to 0.09 depending on the tile and batch size. The results were different according to the normalization, tile and batch. Therefore, this experiment found that these factors should have a suitable decision process.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼