scholarly journals Material identification with a filter array-detector array infrared microspectrometer: numerical study

2020 ◽  
Author(s):  
Jiajun Meng ◽  
Jasper J. Cadusch ◽  
Kenneth B. Crozier
Keyword(s):  
Numerical Study ◽  
Detector Array ◽  
Array Detector ◽  
Material Identification ◽  
Filter Array

scholarly journals Plasmonic Mid-Infrared Filter Array-Detector Array Chemical Classifier Based on Machine Learning

ACS Photonics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 648-657
Author(s):  
Jiajun Meng ◽  
Jasper J. Cadusch ◽  
Kenneth B. Crozier
Keyword(s):  
Machine Learning ◽  
Detector Array ◽  
Array Detector ◽  
Mid Infrared ◽  
Filter Array

scholarly journals Color star tracking II: matching

2021 ◽  
Author(s):  
Geoffrey R. McVittie
Keyword(s):  
Field Testing ◽  
Color Filter ◽  
Array Detector ◽  
Large Set ◽  
Blue Color ◽  
Matching Algorithm ◽  
Sensor Field ◽  
Filter Array ◽  
Star Tracking ◽  
Pair Matching

A novel matching algorithm is presented that can identify stars using raw images of the sky obtained from a CMOS color filter array detector. The algorithm combines geometric information with amplitude ratios calculated from the red, green, and blue color color channels. Conventional algorithms that match stars based solely on inter-star geometry (and sometimes relative brightness), typically require three or more stars for a confident star match. In contrast, the presented algorithms are able to find matches with only two imaged stars in most regions of the sky. The necessary catalog preparation and a simple star-pair matching algorithm based on combined color intensity ratios and the angular spacing are discussed. Results from a large set of simulation trials and initial results from sensor field testing are presented.

scholarly journals Color star tracking II: matching

2021 ◽  
Author(s):  
Geoffrey R. McVittie
Keyword(s):  
Field Testing ◽  
Color Filter ◽  
Array Detector ◽  
Large Set ◽  
Blue Color ◽  
Matching Algorithm ◽  
Sensor Field ◽  
Filter Array ◽  
Star Tracking ◽  
Pair Matching

A novel matching algorithm is presented that can identify stars using raw images of the sky obtained from a CMOS color filter array detector. The algorithm combines geometric information with amplitude ratios calculated from the red, green, and blue color color channels. Conventional algorithms that match stars based solely on inter-star geometry (and sometimes relative brightness), typically require three or more stars for a confident star match. In contrast, the presented algorithms are able to find matches with only two imaged stars in most regions of the sky. The necessary catalog preparation and a simple star-pair matching algorithm based on combined color intensity ratios and the angular spacing are discussed. Results from a large set of simulation trials and initial results from sensor field testing are presented.

Numerical study of the low-frequency atomic dynamics in a Lennard-Jones glass

1998 ◽  
Vol 77 (2) ◽  
pp. 473-484 ◽  
Author(s):  
M. Sampoli, P. Benassi, R. Dell'Anna,
Keyword(s):  
Numerical Study ◽  
Low Frequency ◽  
Lennard Jones

Numerical simulation of the tree higro-thermal response in forest fire environment

2020 ◽  
pp. 57-65
Author(s):  
Eusébio Conceiçã ◽  
João Gomes ◽  
Maria Manuela Lúcio ◽  
Jorge Raposo ◽  
Domingos Xavier Viegas ◽  
...  
Keyword(s):  
Forest Fire ◽  
Numerical Study ◽  
Thermal Response ◽  
View Factor ◽  
Tree Model ◽  
Pine Tree ◽  
Surface Temperatures ◽  
Fire Environment ◽  
Fire Front ◽  
Heat Exchanges

This paper refers to a numerical study of the hypo-thermal behaviour of a pine tree in a forest fire environment. The pine tree thermal response numerical model is based on energy balance integral equations for the tree elements and mass balance integral equation for the water in the tree. The simulation performed considers the heat conduction through the tree elements, heat exchanges by convection between the external tree surfaces and the environment, heat exchanges by radiation between the flame and the external tree surfaces and water heat loss by evaporation from the tree to the environment. The virtual three-dimensional tree model has a height of 7.5 m and is constituted by 8863 cylindrical elements representative of its trunks, branches and leaves. The fire front has 10 m long and a 2 m high. The study was conducted taking into account that the pine tree is located 5, 10 or 15 m from the fire front. For these three analyzed distances, the numerical results obtained regarding to the distribution of the view factors, mean radiant temperature and surface temperatures of the pine tree are presented. As main conclusion, it can be stated that the values of the view factor, MRT and surface temperatures of the pine tree decrease with increasing distance from the pine tree in front of fire.

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