Results 1 to 10 of about 4,922,205 (297)

Response surface methodology revisited [PDF]

open access: yesProceedings of the Winter Simulation Conference, 2003
Response surface methodology (RSM) searches for the input combination that optimizes the simulation output. RSM treats the simulation model as a black box. Moreover, this paper assumes that simulation requires much computer time. In the first stages of its search, RSM locally fits first-order polynomials.
Angun, M.E.   +3 more
openaire   +7 more sources

Spatial–temporal variations in natural disasters during the Ming and Qing dynasties (1368–1911 AD) in the ancient Huizhou region, eastern China

open access: yesFrontiers in Earth Science, 2022
The Little Ice Age (LIA) during the Ming and Qing dynasties was the most abnormal climate event in China for nearly 2,000 years. During this period, the climate was relatively cold and various natural disasters frequently took place.
Shuguang Lu   +11 more
doaj   +1 more source

A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates [PDF]

open access: yesHydrology and Earth System Sciences, 2023
Accurate snowpack simulations are critical for regional hydrological predictions, snow avalanche prevention, water resource management, and agricultural production, particularly during the snow ablation period.
Y. You   +6 more
doaj   +1 more source

Biochemically Responsive Smart Surface [PDF]

open access: yesACS Applied Materials & Interfaces, 2009
A design of smart surfaces responsive to biochemical analytes is demonstrated in the example of mixed monolayers of biotin/fluorocarbon. The contact angle of aqueous solutions on such surfaces decreases upon streptavidin binding and can be used in detecting this protein.
Fabian, Rios, Sergei, Smirnov
openaire   +2 more sources

Response Surface Model Evolution [PDF]

open access: yes16th AIAA Computational Fluid Dynamics Conference, 2003
Methods are presented for reducing time and effort when performing aerodynamic optimisation using response surface models. Significant time savings are made possible by monitoring the convergence of computational fluid dynamics simulations and omitting regions of poor designs.
Forrester, Alexander I.J.   +2 more
openaire   +2 more sources

Holocene Environmental Archaeology of the Yangtze River Valley in China: A Review

open access: yesLand, 2021
The Yangtze River Valley is an important economic region and one of the cradles of human civilization. It is also the site of frequent floods, droughts, and other natural disasters. Conducting Holocene environmental archaeology research in this region is
Li Wu   +7 more
doaj   +1 more source

Water quality mediated community variations and niche differentiation of macroinvertebrates in Qingyijiang River Basin, China

open access: yesEcological Indicators, 2022
In order to understand the community characteristics of macroinvertebrates in Qingyijiang River, a survey was conducted in September 2020 and July 2021.
Jianyu Chi   +3 more
doaj   +1 more source

Response-surface-model-based system sizing for nearly/net zero energy buildings under uncertainty [PDF]

open access: yes, 2018
Properly treating uncertainty is critical for robust system sizing of nearly/net zero energy buildings (ZEBs). To treat uncertainty, the conventional method conducts Monte Carlo simulations for thousands of possible design options, which inevitably leads
Cheng, Y   +5 more
core   +2 more sources

Response Surface Bandits

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY In this paper we define a response surface bandit as the sequential design problem that maximizes an expected bandit utility but where the outcomes yn are continuous and can be related through a response surface to a set of controllable variables xn = (x  1n, x  2n,···, xkn). We link this problem to other traditional optimization
Ginebra, Josep, Clayton, Murray K.
openaire   +2 more sources

Response Surface Methodology [PDF]

open access: yesSSRN Electronic Journal, 2014
This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’s 1951 article on RSM for real, non-simulated systems. RSM is a stepwise heuristic that uses first-order polynomials to approximate the response surface locally.
openaire   +3 more sources

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