scholarly journals A Fully Automatic Burnt Area Mapping Processor Based on AVHRR Imagery—A TIMELINE Thematic Processor

2018 ◽  
Vol 10 (2) ◽  
pp. 341 ◽  
Author(s):  
Simon Plank ◽  
Sandro Martinis
Keyword(s):  
Burnt Area ◽  
Fully Automatic ◽  
Avhrr Imagery

A new method of complex structure analysis by electron microscopy

1978 ◽  
Vol 36 (1) ◽  
pp. 628-629
Author(s):  
V.V. Rybin ◽  
E.V. Voronina
Keyword(s):  
Complex Structure ◽  
Reciprocal Lattice ◽  
Stacking Faults ◽  
Plastic Strains ◽  
Base Position ◽  
Structural Regularity ◽  
Orientation Matrix ◽  
Computerized Processing ◽  
Fully Automatic ◽  
Diffraction Patterns

Recently, it has become essential to develop a helpful method of the complete crystallographic identification of fine fragmented crystals. This was maainly due to the investigation into structural regularity of large plastic strains. The method should be practicable for determining crystallographic orientation (CO) of elastically stressed micro areas of the order of several micron fractions in size and filled with λ>1010 cm-2 density dislocations or stacking faults. The method must provide the misorientation vectors of the adjacent fragments when the angle ω changes from 0 to 180° with the accuracy of 0,3°. The problem is that the actual electron diffraction patterns obtained from fine fragmented crystals are the superpositions of reflections from various fragments, though more than one or two reflections from a fragment are hardly possible. Finally, the method should afford fully automatic computerized processing of the experimental results.The proposed method meets all the above requirements. It implies the construction for a certain base position of the crystal the orientation matrix (0M) A, which gives a single intercorrelation between the coordinates of the unity vector in the reference coordinate system (RCS) and those of the same vector in the crystal reciprocal lattice base : .

Fully automatic quotient image generation using V/Q SPECT/CT images

2019 ◽  
Author(s):  
K Herdinai ◽  
S Urbán ◽  
Z Besenyi ◽  
L Pávics ◽  
N Zsótér ◽  
...  
Keyword(s):  
Ct Images ◽  
Image Generation ◽  
Fully Automatic

Fully automatic lung lobe segmentation using V/Q SPECT/CT images

2020 ◽  
Author(s):  
A Király ◽  
S Urbán ◽  
Z Besenyi ◽  
L Pávics ◽  
N Zsótér ◽  
...  
Keyword(s):  
Ct Images ◽  
Lung Lobe ◽  
Fully Automatic ◽  
Lobe Segmentation

Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians

2021 ◽  
Author(s):  
Fernando Perez-Bueno ◽  
Miguel Vega ◽  
Valery Naranjo ◽  
Rafael Molina ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Color Deconvolution ◽  
Histological Images ◽  
Fully Automatic

Fully automatic optical fibre arc-fusion splice machine

1984 ◽  
Vol 20 (25-26) ◽  
pp. 1065 ◽  
Author(s):  
T. Haibara ◽  
M. Tachikura ◽  
R. Arioka
Keyword(s):  
Optical Fibre ◽  
Fully Automatic

The 10th IJCAR automated theorem proving system competition – CASC-J10

2021 ◽  
pp. 1-15
Author(s):  
Geoff Sutcliffe
Keyword(s):  
Theorem Proving ◽  
Classical Logic ◽  
Automated Theorem Proving ◽  
Fully Automatic

The CADE ATP System Competition (CASC) is the annual evaluation of fully automatic, classical logic Automated Theorem Proving (ATP) systems. CASC-J10 was the twenty-fifth competition in the CASC series. Twenty-four ATP systems and system variants competed in the various competition divisions. This paper presents an outline of the competition design, and a commentated summary of the results.

Design of a traction double-row fully automatic transplanter for vegetable plug seedlings

2021 ◽  
Vol 182 ◽  
pp. 106017
Author(s):  
Yongshuang Wen ◽  
Junxiong Zhang ◽  
Jinyuan Tian ◽  
Dongshuai Duan ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Double Row ◽  
Fully Automatic
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