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        검색결과 2

        1.
        2014.10 구독 인증기관 무료, 개인회원 유료
        In modern society, the financial system has grown in importance. The financial system interchanges according globalization. China financial market is popular because it is great potential and has a large of customer. And Korea’s bank gets through china. It has trouble with going to china because of china’s regulation. But after joining WTO, china relaxes regulation. However, Korea banks have different thing some unique due to Korea bank’s customer has only business. So they emphasize service. Service includes not only kindness and high-quality job performance but also differentiation of space. Thereby, space is composed of simple moving line and easy business handling. This research studies about Architectural Planning Characteristics of Korean bank in China. In future this research would be basic material in architecture.
        6,600원
        2.
        2015.03 KCI 등재 SCOPUS 서비스 종료(열람 제한)
        It is well known that the space radiation dose over the polar route should be carefully considered especially when the space weather shows sudden disturbances such as CME and flares. The National Meteorological Satellite Center (NMSC) and Korea Astronomy and Space Science Institute (KASI) recently established a basis for a space radiation service for the public by developing a space radiation prediction model and heliocentric potential (HCP) prediction model. The HCP value is used as a critical input value of the CARI-6 and CARI-6M programs, which estimate the aviation route dose. The CARI-6/6M is the most widely used and confidential program that is officially provided by the U.S. Federal Aviation Administration (FAA). The HCP value is given one month late in the FAA official webpage, making it difficult to obtain real-time information on the aviation route dose. In order to overcome this limitation regarding time delay, we developed a HCP prediction model based on the sunspot number variation. In this paper, we focus on the purpose and process of our HCP prediction model development. Finally, we find the highest correlation coefficient of 0.9 between the monthly sunspot number and the HCP value with an eight month time shift.