A C++ shared-memory ring-buffer framework for large-scale data acquisition systems

2017 ◽  
Author(s):  
Rolando Ingles ◽  
Mariusz Orlikowski ◽  
Andrzej Napieralski
Keyword(s):  
Data Acquisition ◽  
Shared Memory ◽  
Large Scale ◽  
Data Acquisition Systems ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Generic and Layered Framework Components for the Control of a Large Scale Data Acquisition System

2008 ◽  
Vol 55 (1) ◽  
pp. 362-369 ◽  
Author(s):  
Stefan Koestner ◽  
Dominique Breton ◽  
Daniel Charlet ◽  
Flavio Fontanelli ◽  
Markus Frank ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Large Scale ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Multimodal Data Acquisition at SARS-CoV-2 Drive Through Screening Centers: Setup Description and Experiences in Saarland, Germany

2020 ◽  
Author(s):  
Philipp Flotho ◽  
Mayur J. Bhamborae ◽  
Tobias Grün ◽  
Carlos Trenado ◽  
David Thinnes ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Large Scale ◽  
Screening Methods ◽  
Infection Rates ◽  
Multimodal Data ◽  
Large Scale Data ◽  
High Infection ◽  
Speed Up ◽  
Specific Symptoms ◽  
Scale Data

AbstractSARS-CoV-2 drive through screening centers (DTSC) have been implemented worldwide as a fast and secure way of mass screening. We use DTSCs as a platform for the acquisition of multimodal datasets that are needed for the development of remote screening methods. Our acquisition setup consists of an array of thermal, infrared and RGB cameras as well as microphones and we apply methods from computer vision and computer audition for the contactless estimation of physiological parameters. We have recorded a multimodal dataset of DTSC participants in Germany for the development of remote screening methods and symptom identification. Acquisition in the early stages of a pandemic and in regions with high infection rates can facilitate and speed up the identification of infection specific symptoms and large scale data acquisition at DTSC is possible without disturbing the flow of operation.

scholarly journals Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach

2017 ◽  
Vol 68 ◽  
pp. 32-42 ◽  
Author(s):  
Rodrigo F. Berriel ◽  
Franco Schmidt Rossi ◽  
Alberto F. de Souza ◽  
Thiago Oliveira-Santos
Keyword(s):  
Deep Learning ◽  
Data Acquisition ◽  
Large Scale ◽  
Learning Approach ◽  
Large Scale Data ◽  
Scale Data
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