통합 검색 | Korea Science

김성원
- 한국수자원학회:학술대회논문집
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- 한국수자원학회 2010년도 학술발표회
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- pp.1645-1648
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- 2010
The goal of this research is to apply the neural networks model for the disaggregation of the pan evaporation (PE) data, Republic of Korea. The neural networks model consists of recurrent neural networks model (RNNM). The disaggregation means that the yearly PE data divides into the monthly PE data. And, for the performances of the neural networks model, it is composed of training and test performances, respectively. The training and test performances consist of the historic, the generated, and the mixed data, respectively. From this research, we evaluate the impact of RNNM for the disaggregation of the nonlinear time series data. We should, furthermore, construct the credible data of the monthly PE from the disaggregation of the yearly PE data, and can suggest the methodology for the irrigation and drainage networks system.
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김관호;박광수;김명원;이준구;유정훈
- 한국콘크리트학회:학술대회논문집
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- 한국콘크리트학회 2006년도 추계 학술발표회 논문집
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- pp.189-192
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- 2006
Following the evaluation of the irrigation & drainage structure, a suitable repair and reinforcing procedure can be selected based on this report. Successful procedures take into account the causes of the crack. This provides a survey of crack repair methods, including a summary of the characteristics of the cracks that may be repaired with each procedure, the type of irrigation & drainage structure that have been repaired and a summary of the procedures that are used. Readers are also directly contacted to the website(http:/rri.karico.co.kr/rricon). This report is intended to support the purposes, philosophy, and needs, using easily understood graphics and photos from the construction fields. The results of this study will be distributed to the public official in technical post, the operator in construction site and the member of Korea Agricultural & Rural Infrastructure Corporation and etc.
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