Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Horng-Jer Shieh"'
Autor:
Richard C. Peralta, Horng-Jer Shieh
Publikováno v:
Journal of Water Resources Planning and Management. 132:128-128
Autor:
Baveye, Philippe1 Philippe.Baveye@Cornell.edu
Publikováno v:
Journal of Water Resources Planning & Management. Mar2006, Vol. 132 Issue 2, p127-127. 1p.
Autor:
Philippe C. Baveye
Publikováno v:
Journal of Water Resources Planning and Management. 132:127-127
Akademický článek
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Autor:
Horng-Jer Shieh1 hjshieh@seed.net.tw, Peralta, Richard C.2 peralta@cc.usu.edu
Publikováno v:
Journal of Water Resources Planning & Management. Jan/Feb2005, Vol. 131 Issue 1, p67-78. 12p. 2 Diagrams, 6 Charts, 6 Graphs.
Autor:
Horng-Jer Shieh, 謝弘哲
106
The aim of this study is to compare the lower extremity EMG changes in different pedaling rates and frame settings of road bike at fixed training platform, and then explore the best pedaling rate. Five recreational road bike riders were recr
The aim of this study is to compare the lower extremity EMG changes in different pedaling rates and frame settings of road bike at fixed training platform, and then explore the best pedaling rate. Five recreational road bike riders were recr
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/5r2575
Publikováno v:
Complex Adaptive Systems
Assessment of chemical transport in vadose zone environments is critical for conserving the quality of groundwater. This project evaluated lognormal and convection-dispersion transfer function models with a conservative tracer through soil columns wi
Autor:
Richard C. Peralta, Horng-Jer Shieh
Publikováno v:
Transactions of the ASABE. 51:1273-1285
The presented procedure combines continuous simulated annealing (CSA) heuristic optimization with BIOPLUME II simulation for optimizing in-situ bioremediation system design. The design goal is to minimize the total cost of facility installation and o
Autor:
Richard C. Peralta, Horng-Jer Shieh
Publikováno v:
Journal of Water Resources Planning and Management. 131:67-78
Presented is a simulation/optimization (S/O) model combining optimization with BIOPLUME II for optimizing in situ bioremediation system design. The S/O model uses a new hybrid method combining genetic algorithms and simulated annealing to search for
Autor:
Horng-Jer Shieh, Yu-Ming Wang
Publikováno v:
World Environmental and Water Resources Congress 2008.
This study establishes a sustainable development indicators (SDIs) system of water resources in Taiwan. The SDIs of water resources are based on Driving Force-State-Response framework, which was developed by the United Nations Commission on Sustainab