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디지털 비디오 압축과 인터넷 기술의 발전으로 비디오에 대한 수요가 폭발적으로 늘어나고 있으며, 사용자 제작 콘텐트(UCC)도 대량으로 생산되고 있다. 따라서, 디지털 비디오 라이브러리 구축과 검색에 대한 기술 연구가 어느 때보다 시급하게 요구되고 있다. 그러나 사용자가 전체 비디오의 일부 내용을 의미기반으로 검색해서 보고 싶은 욕망을 충족시켜주기는 매우 어려운 상황이다. 본고에서는 디지털 비디오를 의미 검색하기 위하여 장면을 뽑아내고, 내용을 분석하는 방법을 제안하고, 5개의 스포츠(축구, 야구, 골프, 농구, 배구) 뉴스 비디오를 자동 분류한 실험 결과를 소개하였다. With the advancement of internet and video compression technology, there has been an increasing demand for video, and producted a large quantity contents of UCC. Therefore, Semantic-sensitive retrieval and construction for digital video library is more in demand than ever. However, it is extremely difficult to categorize and label scenes in any video automatically for searching wanted scene. This study proposes a method to extract certain scenes and analyze the video content, and shows the experimental results after categorizing 5 sports news(soccer, baseball, golf, basketball, and volleyball).
The outbreak of the COVID-19 pandemic facilitated opportunities for contact-free (or “contactless”) academic activities. In particular, academic activity has become active on online platforms, and researchers have demonstrated a growing tendency to search information more accurately and conveniently on the platforms that carry numerous academic information. In 1998, the Korea Education and Research Information Service (KERIS), a research institute funded by the Ministry of Education, developed a platform that shares and collects academic research information, namely, the Research Information Sharing Service (RISS). The RISS platform encompasses all domestically-produced research information and the overseas research information. The RISS consists of union catalogues service, inter-library loan service, dCollection system, research information analytics service, and overseas theses information service. The RISS has accumulated not only the domestic theses and dissertations but also various academic data over the past two decades. There has also been an increasing demand for easily obtaining the platform data added in real time. As such, using the liked open data (LOD) through the RISS, the KERIS has linked data with others and formed a useful environment for using data to help the researchers with conducting their academic activities. By analyzing and processing the data produced on the RISS platform and reflecting the users’ patterns of uses, the KERIS has implemented a new scholar relation analysis map (“SAM”) service. In this context, this article introduces thesis-researcher relation analysis service, thesis usage analysis service, thesis-researcher impact analysis service, and latest research trend analysis service.
The common concept of OCW and MOOC can be said as sharing through openness. The purpose of openness of this services is to create a support system overcoming geographical, financial, time constraints to enable more people to receive higher education and lifelong education. This paper after analyzing the edX of open analysis MOOC platform, and afterwards the Korean MOOC platform suggests the strategic direction on development. Especially since lecture contents for higher education are distributed through the MOOC platform, the platform development and management strategy is very important, and the results of this paper can be utilized in the establishment of platform concept and development strategy.
Recently, the Collider Detector at Fermilab (CDF) collaboration reported an excess in the dijet invariant-mass distribution of W_(jj) events, corresponding to a signi¯cance of 3.2 standard deviations. Considering the lack of similar excesses in dijet events at the UA2 and in γ_(jj) and Z_(jj) events at the Tevatron, we propose a new Z'_(cs) model: Z'_(cs) couples only to second-generation quarks. Single production of Z'_(cs) and associated production with W, γ, and Z are mainly from sea quarks. Only WZ'_(cs) production has an additional contribution from one valence quark and one sea quark, which is allowed by Cabibbo-Kobayashi-Maskawa (CKM) mixing. We showed that with a reasonably large value of the new gauge coupling, this new model could explain the observed CDF W_(jj) anomaly and the lack of γ_(jj) and Z_(jj) anomalies. Vanishing coupling of Z'_(cs)-b-b protects this model from the constraint of pp → WH → ㅣυbb at the Tevatron.