The Fence Methods

10.1142/9116 ◽  
2014 ◽  
Author(s):  
Jiming Jiang ◽  
Thuan Nguyen
Keyword(s):  
Fence Methods

scholarly journals Fence methods for backcross experiments

2012 ◽  
Vol 84 (3) ◽  
pp. 644-662 ◽  
Author(s):  
Thuan Nguyen ◽  
Jie Peng ◽  
Jiming Jiang
Keyword(s):  
Fence Methods

scholarly journals Fence methods for mixed model selection

2008 ◽  
Vol 36 (4) ◽  
pp. 1669-1692 ◽  
Author(s):  
Jiming Jiang ◽  
J. Sunil Rao ◽  
Zhonghua Gu ◽  
Thuan Nguyen
Keyword(s):  
Model Selection ◽  
Mixed Model ◽  
Fence Methods

Research on the Crashworthiness of Neotype Flexible Safety Fence

2012 ◽  
Vol 204-208 ◽  
pp. 1689-1692
Author(s):  
Zheng Bao Lei ◽  
Li Hong Li ◽  
Mu Xi Lei ◽  
Chen Chen Chen
Keyword(s):  
Impact Test ◽  
Lateral Displacement ◽  
Full Scale ◽  
Element Analysis ◽  
Evaluation Standard ◽  
Analysis Computer ◽  
Set Up ◽  
The Impact ◽  
Fence Methods

In order to identify the crashworthiness of neotype flexible safety fence, methods was created by conducting FEA (finite element analysis) computer simulation and full-scale impact test based on the current available evaluation standard. Above all, the model of “vehicle-guardrail” was set up based on virtual proving ground (VPG) pretreatment software, the safety in the impact between vehicle and neotype flexible safety fence were studied from the aspects of the moving locus of vehicle, the acceleration of vehicle and the maximum lateral displacement of guardrail etc. Secondly, full-scale impact test was conducted for the guidance quality of guardrail to the tested vehicle. The test results indicated that the neotype flexible safety fence was inconspicuous to the tested-car, which was basically the same to the simulation results, and the evaluation parameter of guardrail met the acceptance criteria.

scholarly journals Relative efficiency of anuran sampling methods in a restinga habitat (Jurubatiba, Rio de Janeiro, Brazil)

2004 ◽  
Vol 64 (4) ◽  
pp. 879-884 ◽  
Author(s):  
C. F. D. Rocha ◽  
M. Van Sluys ◽  
F. H. Hatano ◽  
L. Boquimpani-Freitas ◽  
R. V. Marra ◽  
...  
Keyword(s):  
Breeding Site ◽  
Efficiency Index ◽  
Lower Efficiency ◽  
Species Inventory ◽  
Plot Sampling ◽  
Drift Fence ◽  
Site Survey ◽  
Forested Areas ◽  
Tropical Areas ◽  
Fence Methods

Studies on anurans in restinga habitats are few and, as a result, there is little information on which methods are more efficient for sampling them in this environment. Ten methods are usually used for sampling anuran communities in tropical and sub-tropical areas. In this study we evaluate which methods are more appropriate for this purpose in the restinga environment of Parque Nacional da Restinga de Jurubatiba. We analyzed six methods among those usually used for anuran samplings. For each method, we recorded the total amount of time spent (in min.), the number of researchers involved, and the number of species captured. We calculated a capture efficiency index (time necessary for a researcher to capture an individual frog) in order to make comparable the data obtained. Of the methods analyzed, the species inventory (9.7 min/searcher /ind.- MSI; richness = 6; abundance = 23) and the breeding site survey (9.5 MSI; richness = 4; abundance = 22) were the most efficient. The visual encounter inventory (45.0 MSI) and patch sampling (65.0 MSI) methods were of comparatively lower efficiency restinga, whereas the plot sampling and the pit-fall traps with drift-fence methods resulted in no frog capture. We conclude that there is a considerable difference in efficiency of methods used in the restinga environment and that the complete species inventory method is highly efficient for sampling frogs in the restinga studied and may be so in other restinga environments. Methods that are usually efficient in forested areas seem to be of little value in open restinga habitats.

scholarly journals The Fence Methods

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Jiming Jiang
Keyword(s):  
Model Selection ◽  
Future Research ◽  
Fence Methods

This paper provides an overview of a recently developed class of strategies for model selection, known as the fence methods. It also offers directions of future research as well as challenging problems.

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