CD and OCD sampling scheme optimization for HVM environment

2019 ◽  
Author(s):  
Chanha Park ◽  
Hongoo Lee ◽  
Dongyoung Lee ◽  
Ahlin Choi ◽  
Stefan Buhl ◽  
...  
Keyword(s):  
Sampling Scheme ◽  
Scheme Optimization

scholarly journals Sampling scheme optimization for diffuse optical tomography based on data and image space rankings

2016 ◽  
Vol 21 (10) ◽  
pp. 106004 ◽  
Author(s):  
Sohail Sabir ◽  
Changhwan Kim ◽  
Sanghoon Cho ◽  
Duchang Heo ◽  
Kee Hyun Kim ◽  
...  
Keyword(s):  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Image Space ◽  
Sampling Scheme ◽  
Scheme Optimization

Sampling scheme optimization to map soil depth to petrocalcic horizon at field scale

Geoderma ◽  
2017 ◽  
Vol 290 ◽  
pp. 75-82 ◽  
Author(s):  
Marisa Beatriz Domenech ◽  
Mauricio Castro-Franco ◽  
José Luis Costa ◽  
Nilda Mabel Amiotti
Keyword(s):  
Soil Depth ◽  
Sampling Scheme ◽  
Field Scale ◽  
Scheme Optimization

Detection of Terahertz Pulsed Radiation by using Heterodyne Electro-Optic Sampling Scheme

2012 ◽  
Vol 132 (9) ◽  
pp. 727-733
Author(s):  
Masahiko Tani ◽  
Michael I. Bakunov ◽  
Kohji Yamamoto ◽  
Kazuki Horita ◽  
Tetsuya Kinoshita ◽  
...  
Keyword(s):  
Sampling Scheme ◽  
Electro Optic

Unequal Probability Scheme for Fruit Count in a Guava Tree

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
R. C. BHARATI
Keyword(s):  
Cross Sectional Area ◽  
Equal Probability ◽  
Sampling Scheme ◽  
Research Station ◽  
Sectional Area ◽  
Cross Sectional ◽  
Unequal Probability ◽  
Selection Probabilities ◽  
Horticultural Research ◽  
Number Of Branches

Data on fruit count corresponding to primary, secondary and tertiary branches of a randomly selected guava CV. Allahabad Safeda were recorded from the guava orchard of Horticultural Research Station, Birauli. The proposed sampling scheme in which the selection probabilities are based on length of braches between two forking points was compared with equal probability(PE), probability proportional to the number of branches(PPN), probability proportional to the cross sectional area (PPA) and probability proportional to volume (PPV) method of sampling and found to be more efficient.

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