Automatic removal of Cartesian feedback transmitter imperfections

1997 ◽  
Vol 144 (4) ◽  
pp. 281 ◽  
Author(s):  
M. Boloorian ◽  
J.P. McGeehan
Keyword(s):  
Automatic Removal

SOBINMF for Automatic Removal of Ocular Artifacts from the EEG

2015 ◽  
Vol 135 (8) ◽  
pp. 954-962
Author(s):  
Hirohisa Tsubakida ◽  
Yumie Ono ◽  
Atsushi Ishiyama
Keyword(s):  
Automatic Removal ◽  
Ocular Artifacts

scholarly journals Results of Laboratory Studies of the Automated Sorting System for Root and Onion Crops

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1257
Author(s):  
Alexey Dorokhov ◽  
Alexander Aksenov ◽  
Alexey Sibirev ◽  
Nikolay Sazonov ◽  
Maxim Mosyakov ◽  
...  
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Technological Parameters ◽  
Post Harvest ◽  
Manual Sorting ◽  
Sorting System ◽  
Working Bodies ◽  
Automatic Removal

The roller and sieve machines most commonly used in Russia for the post-harvest processing of root and tuber crops and onions have a number of disadvantages, the main one being a decrease in the quality of sorting due to the contamination of working bodies, which increases the quantity of losses during sorting and storage. To obtain high-quality competitive production, it is necessary to combine a number of technological operations during the sorting process, such as dividing the material into classes and fractions by quality and size, as well as identifying and removing damaged products. In order to improve the quality of sorting of root tubers and onions by size, it is necessary to ensure the development of an automatic control system for operating and technological parameters, the use of which will eliminate manual sorting on bulkhead tables in post-harvest processing. To fulfill these conditions, the developed automatic control system must have the ability to identify the material on the sorting surface, taking into account external damage and ensuring the automatic removal of impurities. In this study, the highest sorting accuracy of tubers (of more than 91%) was achieved with a forward speed of 1.2 m/s for the conveyor of the sorting table, with damage to 2.2% of the tubers, which meets the agrotechnical requirements for post-harvest processing. This feature distinguishes the developed device from similar ones.

scholarly journals Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3267
Author(s):  
Ramon C. F. Araújo ◽  
Rodrigo M. S. de Oliveira ◽  
Fernando S. Brasil ◽  
Fabrício J. B. Barros
Keyword(s):  
Image Denoising ◽  
Recognition Performance ◽  
Partial Discharge ◽  
Classification Performance ◽  
Partial Discharges ◽  
Denoising Method ◽  
Internal Parameters ◽  
On Line ◽  
Automatic Removal ◽  
The Impact

In this paper, a novel image denoising algorithm and novel input features are proposed. The algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single dominant partial discharge (PD) source, preparing them for automatic artificial-intelligence-based classification. It was designed to mitigate several sources of distortions often observed in PRPDs obtained from fully operational hydroelectric generators. The capabilities of the denoising algorithm are the automatic removal of sparse noise and the suppression of non-dominant discharges, including those due to crosstalk. The input features are functions of PD distributions along amplitude and phase, which are calculated in a novel way to mitigate random effects inherent to PD measurements. The impact of the proposed contributions was statistically evaluated and compared to classification performance obtained using formerly published approaches. Higher recognition rates and reduced variances were obtained using the proposed methods, statistically outperforming autonomous classification techniques seen in earlier works. The values of the algorithm’s internal parameters are also validated by comparing the recognition performance obtained with different parameter combinations. All typical PD sources described in hydro-generators PD standards are considered and can be automatically detected.

Automatic Removal of Multiple Artifacts for Single-Channel EEG

2021 ◽  
Author(s):  
Chenbei Zhang ◽  
Nabil Sabor ◽  
Junwen Luo ◽  
Yu Pu ◽  
Guoxing Wang ◽  
...  
Keyword(s):  
Single Channel ◽  
Automatic Removal

Automatic Removal of Eye Blink Artefacts from EEG Data Using Spatio-Temporal Features

2021 ◽  
pp. 1-10
Author(s):  
Rakesh Ranjan ◽  
A. Prabhakara Rao ◽  
Anish Kumar Vishwakarma
Keyword(s):  
Eye Blink ◽  
Temporal Features ◽  
Eeg Data ◽  
Spatio Temporal ◽  
Automatic Removal

Automatic Removal of Typed Keystrokes From Speech Signals

2007 ◽  
Vol 14 (5) ◽  
pp. 363-366 ◽  
Author(s):  
Amarnag Subramanya ◽  
Michael L. Seltzer ◽  
Alex Acero
Keyword(s):  
Speech Signals ◽  
Automatic Removal
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