Communication through a plasma sheath around a fast moving vehicle

2011 ◽  
Author(s):  
V. Sotnikov ◽  
S. Mudaliar ◽  
T. Genoni ◽  
B.V. Oliver ◽  
T.A. Mehlhorn
Keyword(s):  
Fast Moving ◽  
Plasma Sheath ◽  
Moving Vehicle

Shear flow instability in a partially-ionized plasma sheath around a fast-moving vehicle

2011 ◽  
Vol 18 (6) ◽  
pp. 062104 ◽  
Author(s):  
V. I. Sotnikov ◽  
S. Mudaliar ◽  
T. C. Genoni ◽  
D. V. Rose ◽  
B. V. Oliver ◽  
...  
Keyword(s):  
Shear Flow ◽  
Fast Moving ◽  
Flow Instability ◽  
Plasma Sheath ◽  
Moving Vehicle ◽  
Partially Ionized ◽  
Shear Flow Instability

scholarly journals Application of Artificial Neural Network to ANPR: An Overview

2015 ◽  
Vol 4 (2) ◽  
pp. 143-152
Author(s):  
Harish Paruchuri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Fast Moving ◽  
Detection Rate ◽  
Processing Time ◽  
Flow Mechanism ◽  
Moving Vehicle ◽  
Vehicle Owner ◽  
Paper Review

Vehicle owner documentation and traffic flow mechanism have contributed to a major issue in each country. From time to time it turns out to be challenging to detect car owners who fault traffic regulations. Hence, it of interest to us to investigate designs for automatic number plate detection structure as a clarification and proffer solution to this issue. There are several automatic number plate detection or recognition structure existing today. The structure is according to diverse methods nonetheless automatic number plate recognition is still a difficult job as many of the parameters such as a fast-moving vehicle, non-uniform car number plate, the language used in writing the vehicle number and various lighting situations may hinder 100% detection rate. Many of the structure-function underneath these boundaries. This paper review diverse methods of automatic number plate recognition considering success rate, picture size, and processing time as factors.  However, automatic number plate detection is recommended for traffic regulating agencies.  

Real-time video stabilization for fast-moving vehicle cameras

2017 ◽  
Vol 77 (1) ◽  
pp. 1237-1260 ◽  
Author(s):  
Wu-Chih Hu ◽  
Chao-Ho Chen ◽  
Tsong-Yi Chen ◽  
Min-Yang Peng ◽  
Yi-Jen Su
Keyword(s):  
Real Time ◽  
Fast Moving ◽  
Video Stabilization ◽  
Moving Vehicle

scholarly journals Design and Enhancement of License Plate Images Based on Kernel Estimation using Adaptive Filter

2019 ◽  
Vol 9 (2S3) ◽  
pp. 110-113
Keyword(s):  
Adaptive Filter ◽  
Real World ◽  
Fast Moving ◽  
Kernel Estimation ◽  
License Plate ◽  
Moving Vehicle ◽  
Surveillance Camera ◽  
Hit And Run ◽  
The Given ◽  
Effective Output

The speed of vehicles is uncovered because of hit and run accidents are occurred. Generally, the fast moving vehicle image is captured by the surveillance camera. The images that are observed by this camera consist of low resolution and the image will be in the blur format. Because of this the information will be loss. In this paper, to overcome this issue with the design and enhancement of license plate images based on kernel estimation using adaptive filter. Here the information patches are selected from the given images. From these images the edge prediction is performed. It means here it will determine the angle and length of the observations. After this kernel estimation operation is performed. Hence the proposed system can evaluate the images of real world and handle the motion of images when the license plate is unrecognizable. At last the proposed system gives effective output compared to other systems.

ON PLASMA SHEATH PROBLEMS

1979 ◽  
Vol 40 (C7) ◽  
pp. C7-843-C7-844
Author(s):  
J.P. J. Lafon
Keyword(s):  
Plasma Sheath
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