• Title/Summary/Keyword: 최적선정

Search Result 3,175, Processing Time 0.04 seconds

Design of Optimal Water Treatment Processes based on Required Water Quality for Utilization of the Saemanguem Lake Water (새만금 담수 활용을 위한 요구수질별 최적의 수처리 방안 연구)

  • Choi, Kyung-Sook;Lee, Kwang-Ya
    • Journal of agriculture & life science
    • /
    • v.46 no.2
    • /
    • pp.169-178
    • /
    • 2012
  • This study was aimed at providing optimal water treatment processes based on various required water quality for utilization of the Saemangeum lake water as water supply alternatives to this area. Various water treatment methods were considered for investigation there characteristics, pollution removal rate, pros and cons in order to select appropriate water treatment processes satisfying the required water quality for different purposes. As results, the FDA system for SS, turbidity, BOD removals, UV treatment for coliform, BOD removals, FNR process for T-N, T-P removals, and ECRS process for desalination purpose were found to be better methods in senses of removal efficiency, operation and maintenance. Case studies were provided with cost analysis for field applications in the Saemangeum area.

Application of Volatility Models in Region-specific House Price Forecasting (예측력 비교를 통한 지역별 최적 변동성 모형 연구)

  • Jang, Yong Jin;Hong, Min Goo
    • Korea Real Estate Review
    • /
    • v.27 no.3
    • /
    • pp.41-50
    • /
    • 2017
  • Previous studies, especially that by Lee (2014), showed how time series volatility models can be applied to the house price series. As the regional housing market trends, however, have shown significant differences of late, analysis with national data may have limited practical implications. This study applied volatility models in analyzing and forecasting regional house prices. The estimation of the AR(1)-ARCH(1), AR(1)-GARCH(1,1), and AR(1)-EGARCH(1,1,1) models confirmed the ARCH and/or GARCH effects in the regional house price series. The RMSEs of out-of-sample forecasts were then compared to identify the best-fitting model for each region. The monthly rates of house price changes in the second half of 2017 were then presented as an example of how the results of this study can be applied in practice.