• Title/Summary/Keyword: Directivity forecasting

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KOSPI directivity forecasting by time series model (시계열 모형을 이용한 주가지수 방향성 예측)

  • Park, In-Chan;Kwon, O-Jin;Kim, Tae-Yoon
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.6
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    • pp.991-998
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    • 2009
  • This paper deals with directivity forecasting of time series which is useful for futures trading in stock market. Directivity forecasting of time series is to forecast whether a given time series will rise or fall at next observation time point. For directional forecasting, we consider time regression model and ARIMA model. In particular, we study two statistics, intra-model and extra-model deviation and then show usefulness of intra-model deviation.

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Study of Tunnel Face Mapping Using Tunnel Mapper (Tunnel Mapper를 이용한 Tunnel 막장면 조사에 관한 연구)

  • Kwak, No-Kyung;Cho, Sung-Jin;Lee, Song
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09b
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    • pp.200-211
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    • 2010
  • Tunnel Mapper, which is tunnel face survey system was used to conduct Face Mapping on the face of the tunnel that is under construction. Then, accuracy and utility value on the forecast of discontinuity were verified to verify the field application in order to present the measures for the use of the system for conducting research on the discontinuity. As result of the directivity verification following discontinuity‘s project, forecasted measurement and actually researched measurement error for the Dip direction and Dip angle was less than ${\pm}10$. Accuracy was 82.6% for Dip direction and 90.7% for Dip angle, which are high. Accordingly, face research discontinuity forecasting system's reliability level towards directivity is high. Tunnel Mapper, a tunnel face survey system can be leveraged to replace face's visual survey and to obtain objective information, enabling execution of the survey system that can automate face survey going beyond time and space related limitations.

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