Add to ORKGThis research involves the development of a fluid level measurement system for dynamic environments. The measurement system is based on a single capacitive sensor. An Artificial Neural Network (ANN) based signal processing and characterization system has been developed and used to compensate for the effects of slosh and temperature variation on fluid level measurement in dynamic environments. It has been demonstrated that a Back Propagation Neural Network incorporating a Moving Median filter could be used to achieve the high levels of accuracy required for fluid level measurement in dynamic environments including automotive applications
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
Many types of sensors are nonlinear in nature but require an output that is linear. If linear approx...
Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic e...
Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic e...
This paper describes a design of adaptive liquid level control system using the concept of Multi Sen...
A multilayer artificial neural network (ANN) is proposed for modeling of a capacitive pressure senso...
A fluid level measurement system to accurately determine fluid levels in dynamic environments has be...
Well calibrated instrumentation is essential in providing meaningful information about the status of...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
To be able to meet the demands of tomorrow on lower emissions from small two-stroke engines, used e....
A novel artificial neural network (NN)-based technique is proposed for enabling smart sensors to ope...
In this thesis, the application of capacitive sensing technology in liquid level monitoring will be ...
An artificial neural network (NN)-based technique for smart sensors operating in harsh environments ...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
Many types of sensors are nonlinear in nature but require an output that is linear. If linear approx...
Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic e...
Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic e...
This paper describes a design of adaptive liquid level control system using the concept of Multi Sen...
A multilayer artificial neural network (ANN) is proposed for modeling of a capacitive pressure senso...
A fluid level measurement system to accurately determine fluid levels in dynamic environments has be...
Well calibrated instrumentation is essential in providing meaningful information about the status of...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
To be able to meet the demands of tomorrow on lower emissions from small two-stroke engines, used e....
A novel artificial neural network (NN)-based technique is proposed for enabling smart sensors to ope...
In this thesis, the application of capacitive sensing technology in liquid level monitoring will be ...
An artificial neural network (NN)-based technique for smart sensors operating in harsh environments ...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
The task for a gas sensing system is to measure one or more specified gases and to suppress any dist...
Many types of sensors are nonlinear in nature but require an output that is linear. If linear approx...