scholarly journals Fluidigm2PURC: Automated processing and haplotype inference for double-barcoded PCR amplicons

2018 ◽  
Vol 6 (6) ◽  
pp. e01156 ◽  
Author(s):  
Paul D. Blischak ◽  
Maribeth Latvis ◽  
Diego F. Morales-Briones ◽  
Jens C. Johnson ◽  
Verónica S. Di Stilio ◽  
...  
Keyword(s):  
Haplotype Inference ◽  
Automated Processing

Convergent-beam thickness determination: The advantages of digital imaging

1994 ◽  
Vol 52 ◽  
pp. 420-421
Author(s):  
Stuart McKernan ◽  
C. Barry Carter
Keyword(s):  
Intensity Variation ◽  
Convergent Beam Electron Diffraction ◽  
Digital Data ◽  
Thickness Determination ◽  
Frequent Use ◽  
Automated Processing ◽  
Beam Thickness ◽  
Convergent Beam ◽  
Remarkable Agreement

Convergent-beam electron diffraction (CBED) patterns contain an immense amount of information relating to the structure of the material from which they are obtained. The analysis of these patterns has progressed to the point that under appropriate, well specified conditions, the intensity variation within the CBED discs may be understood in a quantitative sense. Rossouw et al for example, have produced numerical simulations of zone-axis CBED patterns which show remarkable agreement with experimental patterns. Spence and co-workers have obtained the structure factor parameters for lowindex reflections using the intensity variation in 2-beam CBED patterns. Both of these examples involve the use of digital data. Perhaps the most frequent use for quantitative CBED analysis is the thickness determination described by Kelly et al. This analysis has been implemented in a variety of different ways; from real-time, in-situ analysis using the microscope controls, to measurements of photographic prints with a ruler, to automated processing of digitally acquired images. The potential advantages of this latter process will be presented.

Databases, GIS and Internet technologies with the purpose of identifying the soldiers who went missing in action in the Great Patriotic War

2017 ◽  
Vol 926 (8) ◽  
pp. 49-58
Author(s):  
O.S. Lazareva ◽  
M.V. Shalaeva ◽  
S.N. Shekotilova ◽  
V.G. Shekotilov
Keyword(s):  
The Internet ◽  
Practical Application ◽  
Internet Technologies ◽  
Modern Information Technology ◽  
Gis Technologies ◽  
Great Patriotic War ◽  
Automated Processing ◽  
Modern Information ◽  
Post War ◽  
Missing In Action

There was a discrepancy found between the practice of identification of the soldiers who went missing in action during the Great Patriotic War and also the reburied ones and the possibilities of automated processing of the war and post-war archive documents using modern information technology. Using the practical application of the mix of technologies of the databases, geographic information systems and the Internet as an example there is a possibility demonstrated to establish the destiny of a soldier who was considered missing in action. As far as the GIS technologies are concerned the methods of forming the atlas of rastre electronic maps and vector maps with the data from the archive sources have been the most significant. The atlas of raster electronic maps of the Great Patriotic War period for the Kalinin Battle Front and the 30th army which was formed in the process of research has been registered in Rospatent in the form of database. The functionality of the research was provided by applying various programming means

scholarly journals Remote Sensing Methods for the Retrieval of Inventory and Bioproductivity Parameters of Forests Using High Resolution Satellite Images

2019 ◽  
Vol 75 ◽  
pp. 01003 ◽  
Author(s):  
Egor Dmitriev ◽  
Vladimir Kozoderov ◽  
Sergey Donskoy ◽  
Petr Melnik ◽  
Anton Sokolov
Keyword(s):  
Satellite Images ◽  
High Spatial Resolution ◽  
Texture Features ◽  
Forest Species ◽  
Effective Learning ◽  
Estimated Parameters ◽  
High Resolution Satellite Images ◽  
Automated Processing ◽  
Tver Region ◽  
Remote Sensing Methods

A method for automated processing high spatial resolution satellite images is proposed to retrieve inventory and bioproductivity parameters of forest stands. The method includes effective learning classifiers, inverse modeling, and regression modeling of the estimated parameters. Spectral and texture features are used to classify forest species. The results of test experiments for the selected area of Savvatievskoe forestry (Russia, Tver region) are presented. Accuracy estimates obtained using ground-based measurements demonstrate the effectiveness of using the proposed techniques to automate the process of updating information for the State Forest Inventory program of Russia.

scholarly journals Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series

2021 ◽  
Vol 13 (2) ◽  
pp. 205
Author(s):  
Philipp Hochreuther ◽  
Niklas Neckel ◽  
Nathalie Reimann ◽  
Angelika Humbert ◽  
Matthias Braun
Keyword(s):  
Time Series ◽  
Observation Interval ◽  
Lake Area ◽  
Climate Data ◽  
Melt Pond ◽  
Automated Processing ◽  
Average Observation ◽  
Average Size ◽  
Lake Size ◽  
Sentinel 2

The usability of multispectral satellite data for detecting and monitoring supraglacial meltwater ponds has been demonstrated for western Greenland. For a multitemporal analysis of large regions or entire Greenland, largely automated processing routines are required. Here, we present a sequence of algorithms that allow for an automated Sentinel-2 data search, download, processing, and generation of a consistent and dense melt pond area time-series based on open-source software. We test our approach for a ~82,000 km2 area at the 79°N Glacier (Nioghalvfjerdsbrae) in northeast Greenland, covering the years 2016, 2017, 2018 and 2019. Our lake detection is based on the ratio of the blue and red visible bands using a minimum threshold. To remove false classification caused by the similar spectra of shadow and water on ice, we implement a shadow model to mask out topographically induced artifacts. We identified 880 individual lakes, traceable over 479 time-steps throughout 2016–2019, with an average size of 64,212 m2. Of the four years, 2019 had the most extensive lake area coverage with a maximum of 333 km2 and a maximum individual lake size of 30 km2. With 1.5 days average observation interval, our time-series allows for a comparison with climate data of daily resolution, enabling a better understanding of short-term climate-glacier feedbacks.

Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea

2003 ◽  
Vol 50 (6) ◽  
pp. 686-696 ◽  
Author(s):  
P. de Chazal ◽  
C. Heneghan ◽  
E. Sheridan ◽  
R. Reilly ◽  
P. Nolan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Obstructive Sleep ◽  
Automated Processing
Sign in / Sign up

Export Citation Format

Share Document