Microcomputer to Synthesizer Interface for a Low Cost System

1978 ◽  
Vol 2 (1) ◽  
pp. 6
Author(s):  
Dave Oppenheim
Keyword(s):  
Low Cost ◽  
Cost System

Low-Cost System Handles Patient Phone Calls

2007 ◽  
Vol 40 (11) ◽  
pp. 53
Author(s):  
BRUCE K. DIXON
Keyword(s):  
Low Cost ◽  
Cost System ◽  
Phone Calls

Intelligent, low-cost system for fume control during laser material processing

2005 ◽  
Author(s):  
Ramin Sattari ◽  
Stephan Barcikowski ◽  
Thomas Püster ◽  
Andreas Ostendorf ◽  
Heinz Haferkamp
Keyword(s):  
Material Processing ◽  
Low Cost ◽  
Laser Material Processing ◽  
Laser Material ◽  
Cost System

scholarly journals A Low-cost System for High-frequency Solar Imagery and Power Data Acquisition

2021 ◽  
Vol 1826 (1) ◽  
pp. 012082
Author(s):  
G F Bassous ◽  
R F Calili ◽  
C R H Barbosa
Keyword(s):  
Data Acquisition ◽  
High Frequency ◽  
Low Cost ◽  
Cost System

Low-cost system in the analysis of the recovery of mobility through inertial navigation techniques and virtual reality

2021 ◽  
pp. 271-292
Author(s):  
Wilver Auccahuasi ◽  
Mónica Diaz ◽  
Fernando Sernaque ◽  
Edward Flores ◽  
Justiniano Aybar ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Low Cost ◽  
Inertial Navigation ◽  
Cost System

Low-cost system for radiometric calibration of UAV-based multispectral imagery

2020 ◽  
pp. 1-15
Author(s):  
Jorge Tadeu Fim Rosas ◽  
Francisco de Assis de Carvalho Pinto ◽  
Daniel Marçal de Queiroz ◽  
Flora Maria de Melo Villar ◽  
Rodrigo Nogueira Martins ◽  
...  
Keyword(s):  
Low Cost ◽  
Multispectral Imagery ◽  
Radiometric Calibration ◽  
Cost System

Validation of low-cost system for gait assessment in children with ataxia

2020 ◽  
Vol 196 ◽  
pp. 105705 ◽  
Author(s):  
S. Summa ◽  
G. Tartarisco ◽  
M. Favetta ◽  
A. Buzachis ◽  
A. Romano ◽  
...  
Keyword(s):  
Low Cost ◽  
Gait Assessment ◽  
Cost System

PCM-formatter: a powerful, low cost system for PCM telemetry decoding and quick look support

1993 ◽  
Vol 40 (4) ◽  
pp. 905-908
Author(s):  
E.F. Quadrini ◽  
M. Corba ◽  
B. Falconi ◽  
C. Moriggio ◽  
R. Santambrogio ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost System

Low-Cost System for Auditory Brainstem Evoked Response

2012 ◽  
Vol 147 (2_suppl) ◽  
pp. P212-P212
Author(s):  
Jose M. Ercolino ◽  
Juan A. Chiossone-Kerdel ◽  
Jorge Hernandez ◽  
Stefania Goncalves
Keyword(s):  
Low Cost ◽  
Auditory Brainstem ◽  
Evoked Response ◽  
Cost System

Reference-free dynamic displacements of railroad bridges using low-cost sensors

2017 ◽  
Vol 30 (9) ◽  
pp. 1291-1305 ◽  
Author(s):  
Jose A Gomez ◽  
Ali I Ozdagli ◽  
Fernando Moreu
Keyword(s):  
Low Cost ◽  
Field Measurements ◽  
Dynamic Data ◽  
Train Derailment ◽  
Railroad Bridges ◽  
Cost System ◽  
Railroad Bridge ◽  
Bridge Crossing ◽  
Bridge Responses ◽  
Free Dynamic

Displacements of railroad bridges under service loads are important parameters in assessing bridge conditions and risk of train derailment, according to railroad bridge managers. Measuring bridge responses in the field is often expensive and challenging due to the high costs of sensing equipment. Consequently, railroad bridge managers typically rent or subcontract field measurements to others or choose not to collect dynamic data in the field and make visual inspections. This article studies the use of a low-cost data acquisition platform to measure reference-free dynamic displacements of railroad bridges by combining low-cost microcontrollers and accelerometers. Researchers used off-the-shelf systems to measure accelerations and reconstructed reference-free displacements from several railroad bridge crossing events by running trains with different levels of serviceability in the laboratory. The results obtained from the proposed low-cost sensors were compared with those of commercial sensing equipment. The results show that low-cost sensors and commercial sensing systems have comparable accuracy. The results of this study show that the proposed platform estimates reference-free displacements with a peak error between 20% and 30% and a root mean square error between 10% and 20%, which is similar to commercial structural health monitoring systems. The proposed low-cost system is approximately 300 times less expensive than the commercial sensing equipment. The ultimate goal of this research is to increase the intelligent assessment of bridges by training owners and inspectors to collect dynamic data of their interest with their own resources.

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