A regularized adaptive spatial resolution technique for fast and accurate analysis of metal–dielectric crossed gratings

2019 ◽  
Vol 18 (2) ◽  
pp. 689-695
Author(s):  
Seyed Amir Hossein Nekuee ◽  
Ehsan Faghihifar
2011 ◽  
Vol 28 (2) ◽  
pp. 238 ◽  
Author(s):  
Thomas Weiss ◽  
Nikolay A. Gippius ◽  
Sergei G. Tikhodeev ◽  
Gérard Granet ◽  
Harald Giessen

Author(s):  
C. W. Han ◽  
S. Cho ◽  
B. Han

Moire´ interferometry is a full-field optical method that has high displacement, strain and spatial resolution. The method has been used extensively for deformation analyses in the various fields of mechanics. Special considerations arise when deformation measurements of tiny specimens or tiny regions of larger specimens are sought. The relative displacements within a small field of view will be small (even if the strains are not small), so the number of morie´ fringes might not be enough for an accurate analysis.


2009 ◽  
Vol 17 (10) ◽  
pp. 8051 ◽  
Author(s):  
Thomas Weiss ◽  
Gérard Granet ◽  
Nikolay A. Gippius ◽  
Sergei G. Tikhodeev ◽  
Harald Giessen

2021 ◽  
Vol 10 (5) ◽  
pp. 314
Author(s):  
Hong Zhang ◽  
Jie Zhang ◽  
Zengli Wang ◽  
Hao Yin

Effective predictive policing can guide police patrols and deter crime. Hourly crime prediction is expected to save police time. The selection of spatial resolution is important due to its strong relationship with the accuracy of crime prediction. In this paper, we propose an adaptive spatial resolution method to select the best spatial resolution for hourly crime prediction. The ST-ResNet model is applied to predict crime risk, with historical crime data and weather data as predictive variables. A predictive accuracy index (PAI) is used to evaluate the accuracy of the results. Data on property crimes committed in Suzhou, a big city in China, were selected as the research data. The experiment results indicate that a 2.4 km spatial resolution leads to the best performance for crime prediction. The adaptive spatial resolution method can be used to guide police deployment.


2010 ◽  
Vol 27 (6) ◽  
pp. 1303 ◽  
Author(s):  
Gérard Granet ◽  
Lala Bakonirina Andriamanampisoa ◽  
Karyl Raniriharinosy ◽  
Ana Maria Armeanu ◽  
Kofi Edee

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