Fourier Series-Based Bidirectional Propagation Algorithm With Adaptive Spatial Resolution

2010 ◽  
Vol 28 (20) ◽  
pp. 2969-2976 ◽  
Author(s):  
Jiří Ctyroky ◽  
Pavel Kwiecien ◽  
Ivan Richter
Keyword(s):  
Fourier Series ◽  
Spatial Resolution ◽  
Propagation Algorithm ◽  
Bidirectional Propagation ◽  
Adaptive Spatial Resolution

Derivation of plasmonic resonances in the Fourier modal method with adaptive spatial resolution and matched coordinates

2011 ◽  
Vol 28 (2) ◽  
pp. 238 ◽  
Author(s):  
Thomas Weiss ◽  
Nikolay A. Gippius ◽  
Sergei G. Tikhodeev ◽  
Gérard Granet ◽  
Harald Giessen
Keyword(s):  
Spatial Resolution ◽  
Fourier Modal Method ◽  
Modal Method ◽  
Adaptive Spatial Resolution

scholarly journals Matched coordinates and adaptive spatial resolution in the Fourier modal method

2009 ◽  
Vol 17 (10) ◽  
pp. 8051 ◽  
Author(s):  
Thomas Weiss ◽  
Gérard Granet ◽  
Nikolay A. Gippius ◽  
Sergei G. Tikhodeev ◽  
Harald Giessen
Keyword(s):  
Spatial Resolution ◽  
Fourier Modal Method ◽  
Modal Method ◽  
Adaptive Spatial Resolution

scholarly journals An Adaptive Spatial Resolution Method Based on the ST-ResNet Model for Hourly Property Crime Prediction

2021 ◽  
Vol 10 (5) ◽  
pp. 314
Author(s):  
Hong Zhang ◽  
Jie Zhang ◽  
Zengli Wang ◽  
Hao Yin
Keyword(s):  
Spatial Resolution ◽  
Predictive Accuracy ◽  
Property Crime ◽  
Strong Relationship ◽  
Weather Data ◽  
Resolution Method ◽  
Crime Prediction ◽  
Big City ◽  
Crime Risk ◽  
Adaptive Spatial Resolution

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.

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