scholarly journals Signal processing technique for non-invasive real-time estimation of cardiac output by inductance cardiography (thoracocardiography)

2003 ◽  
Vol 41 (3) ◽  
pp. 302-309 ◽  
Author(s):  
G. B. Bucklar ◽  
V. Kaplan ◽  
K. E. Bloch
Keyword(s):  
Signal Processing ◽  
Cardiac Output ◽  
Real Time ◽  
Time Estimation ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Non Invasive ◽  
Real Time Estimation

scholarly journals Thermal Modulation of a High-Bandwidth Gas Sensor Array in Real-Time for Application on a Mobile Robot

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 858 ◽  
Author(s):  
Timothy A. Vincent ◽  
Yuxin Xing ◽  
Marina Cole ◽  
Julian W. Gardner
Keyword(s):  
Signal Processing ◽  
Mobile Robot ◽  
Real Time ◽  
Low Cost ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Baseline Drift ◽  
Gas Sensor Array ◽  
Sensor Module ◽  
High Bandwidth

A new signal processing technique has been developed for resistive metal oxide (MOX) gas sensors to enable high-bandwidth measurements and enhanced selectivity at PPM levels (<50 PPM VOCs). An embedded micro-heater is thermally pulsed from 225 to 350 °C, which enables the chemical reactions in the sensor film (e.g., SnO2, WO3, NiO) to be extracted using a fast Fourier transform. Signal processing is performed in real-time using a low-cost microcontroller integrated into a sensor module. The approach enables the remove of baseline drift and is resilient to environmental temperature changes. Bench-top experimental results are presented for 50 to 200 ppm of ethanol and CO, which demonstrate our sensor system can be used within a mobile robot.

scholarly journals Understanding the Advanced Signal Processing Technique of Real-Time Adaptive Filters

2009 ◽  
Vol 25 (3) ◽  
pp. 145-160 ◽  
Author(s):  
Hilary Ahman ◽  
Lindsay Thompson ◽  
Amy Swarbrick ◽  
Julie Woodward
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Adaptive Filters ◽  
Processing Technique ◽  
Signal Processing Technique

scholarly journals Water Content Monitoring in Water-in-Oil Emulsions Using a Piezoceramic Sensor

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 335
Author(s):  
Carlos A. B. Reyna ◽  
Ediguer E. Franco ◽  
Alberto L. Durán ◽  
Luiz O. V. Pereira ◽  
Marcos S. G. Tsuzuki ◽  
...  
Keyword(s):  
Crude Oil ◽  
Water Content ◽  
Real Time ◽  
Propagation Velocity ◽  
Time Estimation ◽  
Water Volume ◽  
Non Invasive ◽  
Real Time Estimation ◽  
Working Principle ◽  
Oil Emulsions

This work deals with a transmission-reception ultrasonic technique for the real-time estimation of the water content in water-in-crude oil emulsions. The working principle is the measurement of the propagation velocity, using two in-house manufactured transducers designed for water coupling, with a central frequency of about 3 MHz. Water-in-crude oil emulsions with a water volume concentration from 0% to 40% were generated by mechanical emulsification. Tests were carried out at three temperatures. The results showed that the propagation velocity is a sensitive parameter that is able to determine the water content, allowing for differentiating the concentrations of up to 40% of water. The main motivation is the development of techniques for non-invasive and real-time monitoring of the water content of emulsions in petrochemical processes.

A machine for real-time estimation of the tribological characteristics of materials

2020 ◽  
Vol 86 (4) ◽  
pp. 61-65
Author(s):  
M. V. Abramchuk ◽  
R. V. Pechenko ◽  
K. A. Nuzhdin ◽  
V. M. Musalimov
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
Tribological Characteristics ◽  
Continuous Processing ◽  
Friction Machine ◽  
Dynamic Friction Coefficient ◽  
Displacement Sensors ◽  
Frictional Interaction ◽  
Real Time Estimation ◽  
Automated Quality Control

A reciprocating friction machine Tribal-T intended for automated quality control of the rubbing surfaces of tribopairs is described. The distinctive feature of the machine consists in implementation of the forced relative motion due to the frictional interaction of the rubbing surfaces fixed on the drive and conjugate platforms. Continuous processing of the signals from displacement sensors is carried out under conditions of continuous recording of mutual displacements of loaded tribopairs using classical approaches of the theory of automatic control to identify the tribological characteristics. The machine provides consistent visual real time monitoring of the parameters. The MATLAB based computer technologies are actively used in data processing. The calculated tribological characteristics of materials, i.e., the dynamic friction coefficient, damping coefficient and measure of the surface roughness, are presented. The tests revealed that a Tribal-T reciprocating friction machine is effective for real-time study of the aforementioned tribological characteristics of materials and can be used for monitoring of the condition of tribo-nodes of machines and mechanisms.

Onboard Real-time Estimation of Mean Orbital Elements with Atmospheric Drag

2013 ◽  
Vol 39 (10) ◽  
pp. 1722
Author(s):  
Zhao-Wei SUN ◽  
Wei-Chao ZHONG ◽  
Shi-Jie ZHANG ◽  
Jian ZHANG
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
Atmospheric Drag ◽  
Orbital Elements ◽  
Real Time Estimation
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