Bioluminescence Truth Data Measurement and Signature Detection

2007 ◽  
Author(s):  
Edith A. Widder ◽  
Charles L. Frey
Keyword(s):  
Data Measurement ◽  
Signature Detection

Valid Signature Detection and Verification for Security of Individual Person

2016 ◽  
Vol 1 (1) ◽  
pp. 50-53 ◽  
Author(s):  
Varun Sharma ◽  
Narpat Singh
Keyword(s):  
Neural Network ◽  
Comparative Analysis ◽  
Recent Work ◽  
Research Work ◽  
Early Research ◽  
Individual Person ◽  
Signature Detection ◽  
Online Signature ◽  
The Right ◽  
Handwritten Signature

In the recent research work, the handwritten signature is a suitable field to detection of valid signature from different environment such online signature and offline signature. In early research work, a lot of unauthorized person put the signature and theft the data in illegal manner from organization or industries. So we have to need identify, the right person on the basis of various parameters that can be detected. In this paper, we have proposed two methods namely LDA and Neural Network for the offline signature from the scan signature image. For efficient research, we have focused the comparative analysis in terms of FRR, SSIM, MSE, and PSNR. These parameters are compared with the early work and the recent work. Our proposed work is more effective and provides the suitable result through our method which leads to existing work. Our method will help to find legal signature of authorized use for security and avoid illegal work.

scholarly journals THE VALUE OF ROBUST STATISTICAL FORECASTS IN THE COVID-19 PANDEMIC

2021 ◽  
Vol 256 ◽  
pp. 19-43
Author(s):  
Jennifer L. Castle ◽  
Jurgen A. Doornik ◽  
David F. Hendry
Keyword(s):  
Structural Change ◽  
Measurement Errors ◽  
Epidemiological Models ◽  
Short Term ◽  
Data Measurement ◽  
Policy Interventions ◽  
Changing Trends ◽  
Technological Advances ◽  
The Difference ◽  
The Uk

The Covid-19 pandemic has put forecasting under the spotlight, pitting epidemiological models against extrapolative time-series devices. We have been producing real-time short-term forecasts of confirmed cases and deaths using robust statistical models since 20 March 2020. The forecasts are adaptive to abrupt structural change, a major feature of the pandemic data due to data measurement errors, definitional and testing changes, policy interventions, technological advances and rapidly changing trends. The pandemic has also led to abrupt structural change in macroeconomic outcomes. Using the same methods, we forecast aggregate UK unemployment over the pandemic. The forecasts rapidly adapt to the employment policies implemented when the UK entered the first lockdown. The difference between our statistical and theory based forecasts provides a measure of the effect of furlough policies on stabilising unemployment, establishing useful scenarios had furlough policies not been implemented.

scholarly journals Distribution Network Topology Identification Considering Nonsynchronous Multi-prosumer Data Measurement

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Lizong Zhang ◽  
Fengming Zhang ◽  
Xiaolei Li ◽  
Chunlei Wang ◽  
Taotao Chen ◽  
...  
Keyword(s):  
Network Topology ◽  
Distribution Network ◽  
Topology Identification ◽  
Data Measurement

Enhancing nuclear quadrupole resonance (NQR) signature detection leveraging interference suppression algorithms

2012 ◽  
Author(s):  
James A. DeBardelaben ◽  
Jeremy K. Miller ◽  
Wilbur L. Myrick ◽  
Joel B. Miller ◽  
G. Charmaine Gilbreath ◽  
...  
Keyword(s):  
Nuclear Quadrupole Resonance ◽  
Interference Suppression ◽  
Signature Detection ◽  
Quadrupole Resonance ◽  
Nuclear Quadrupole
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