scholarly journals URALS and WESTERN SIBERIA

2020 ◽  
pp. 216-227
Author(s):  
A. Malovichko ◽  
R. Dyagilev ◽  
F. Verkholantsev ◽  
I. Golubeva ◽  
T. Zlobina ◽  
...  
Keyword(s):  
Data Processing ◽  
Seismic Activity ◽  
Induced Seismicity ◽  
Western Siberia ◽  
Processing Technique ◽  
The Urals ◽  
Focal Parameters ◽  
Data Processing Technique

The article shows currentlayout ofseismic network in the Urals and Western Siberia, data processing technique and results of brief analysis of seismic activity in the region in 2014. Ability of the network adjusted to new boundaries of the territory under control that now includes the Urals and Western Siberia is shown. About 80% of registered events are the technological explosions in mines and open pits, 46 events are related to natural or induced seismicity. For the strongest events of the last group the options of determination of focal parameters received by other agencies are given.

Modified unsupervised discriminant projection with an electronic nose for the rapid determination of Chinese mitten crab freshness

2017 ◽  
Vol 9 (11) ◽  
pp. 1806-1815 ◽  
Author(s):  
Peiyi Zhu ◽  
Jie Du ◽  
Benlian Xu ◽  
Mingli Lu
Keyword(s):  
Data Processing ◽  
Electronic Nose ◽  
Rapid Determination ◽  
Processing Technique ◽  
Chinese Mitten Crab ◽  
Mitten Crab ◽  
Non Linear ◽  
Data Processing Technique ◽  
Discriminant Projection

In this paper, a method to rapidly determine living Chinese mitten crab freshness using an electronic nose (E-nose) and a non-linear data processing technique was studied.

scholarly journals SEISMICITY of the URALS and WESTERN SIBERIA in 2015

2021 ◽  
pp. 200-209
Author(s):  
A. Malovichko ◽  
R. Dyagilev ◽  
F. Verkholantsev ◽  
I. Golubeva ◽  
T. Zlobina
Keyword(s):  
Seismic Activity ◽  
Western Siberia ◽  
Source Parameters ◽  
Processing Technique ◽  
Seismic Network ◽  
The Urals ◽  
Tectonic Event ◽  
Network Capability

The article summarizes information about seismic network in the Urals and Western Siberia region, describes processing technique, presents a short analysis of the seismic activity in 2015. Seismic network capability is shown for the whole territory under control. It was found that about 82 % of registered events are explosions in mines and open pits, 37 events are natural or induced ones. For the strongest induced events, variants of source parameters obtained by different agencies are shown. The strongest tectonic event in 2015 and for the last century (after 1914) is the Middle Ural earthquake with ML=4.7, I0=6 that occurred on October 18, 2015.

scholarly journals Monitoring of dispersed smoke-plume layers by determining locations of the data-point clusters

2018 ◽  
Vol 176 ◽  
pp. 05020
Author(s):  
Vladimir Kovalev ◽  
Cyle Wold ◽  
Alexander Petkov ◽  
Wei Min Hao
Keyword(s):  
Data Processing ◽  
Spatial Location ◽  
Processing Technique ◽  
Backscatter Signal ◽  
Smoke Plume ◽  
Polluted Atmosphere ◽  
Reliable Detection ◽  
Data Point ◽  
Data Processing Technique

A modified data-processing technique of the signals recorded by zenith-directed lidar, which operates in smoke-polluted atmosphere, is discussed. The technique is based on simple transformations of the lidar backscatter signal and the determination of the spatial location of the data point clusters. The technique allows more reliable detection of the location of dispersed smoke layering. Examples of typical results obtained with lidar in a smokepolluted atmosphere are presented.

scholarly journals PECULIARITIES OF PRELIMINARY MOBILE LASER SCANNING DATA PROCESSING

2019 ◽  
Vol 1 (1) ◽  
pp. 239-248
Author(s):  
Maxim Altyntsev ◽  
Karkokli Hamid Majid Saber
Keyword(s):  
Data Processing ◽  
Point Cloud ◽  
Laser Scanning ◽  
Processing Technique ◽  
Digital Cameras ◽  
Data Filtering ◽  
Huge Amount ◽  
Processing Order ◽  
Data Processing Technique

The goal of preliminary mobile laser scanning (MLS) data processing is generating a unified point cloud in a required coordinate system. During this processing calibration of 2D scanners and digital cameras, point cloud adjustment, data filtering such as removal of noise and remirror points. Currently huge amount of software is developed for solving these tasks, but a degree of their auto-mation differs. Depending on software, type of scanned area preliminary MLS data processing technique can differ. The analysis of carried out scanning results with the task of revealing their pe-culiarities, determination of the preliminary data processing order and deciding about necessity to accept additional manual procedures.

A NEW DATA‐PROCESSING TECHNIQUE FOR THE ELIMINATION OF GHOST ARRIVALS ON REFLECTION SEISMOGRAMS

Geophysics ◽  
1964 ◽  
Vol 29 (5) ◽  
pp. 783-805 ◽  
Author(s):  
William A. Schneider ◽  
Kenneth L. Larner ◽  
J. P. Burg ◽  
Milo M. Backus
Keyword(s):  
Data Processing ◽  
Filter Design ◽  
Random Noise ◽  
Wide Band ◽  
Processing Technique ◽  
Linear Filter ◽  
Least Mean Square ◽  
Near Surface ◽  
Surface Reflection ◽  
Data Processing Technique

A new data‐processing technique is presented for the separation of initially up‐traveling (ghost) energy from initially down‐traveling (primary) energy on reflection seismograms. The method combines records from two or more shot depths after prefiltering each record with a different filter. The filters are designed on a least‐mean‐square‐error criterion to extract primary reflections in the presence of ghost reflections and random noise. Filter design is dependent only on the difference in uphole time between shots, and is independent of the details of near‐surface layering. The method achieves wide‐band separation of primary and ghost energy, which results in 10–15 db greater attenuation of ghost reflections than can be achieved with conventional two‐ or three‐shot stacking (no prefiltering) for ghost elimination. The technique is illustrated in terms of both synthetic and field examples. The deghosted field data are used to study the near‐surface reflection response by computing the optimum linear filter to transform the deghosted trace back into the original ghosted trace. The impulse response of this filter embodies the effects of the near‐surface on the reflection seismogram, i.e. the cause of the ghosting. Analysis of these filters reveals that the ghosting mechanism in the field test area consists of both a surface‐ and base‐of‐weathering layer reflector.

A novel data processing technique for image reconstruction of penumbral imaging

2011 ◽  
Author(s):  
Hongwei Xie ◽  
Hongyun Li ◽  
Zeping Xu ◽  
Guzhou Song ◽  
Faqiang Zhang ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Data Processing ◽  
Processing Technique ◽  
Penumbral Imaging ◽  
Data Processing Technique
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