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Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications - A Support Vector Machine Approach (Paperback, 2013 ed.)
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Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications - A Support Vector Machine Approach (Paperback, 2013 ed.)
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Accurate fluid level measurement in dynamic environments can be
assessed using a Support Vector Machine (SVM) approach. SVM is a
supervised learning model that analyzes and recognizes patterns. It
is a signal classification technique which has far greater accuracy
than conventional signal averaging methods. Ultrasonic Fluid
Quantity Measurement in Dynamic Vehicular Applications: A Support
Vector Machine Approach describes the research and development of a
fluid level measurement system for dynamic environments. The
measurement system is based on a single ultrasonic sensor. A
Support Vector Machines (SVM) based signal characterization and
processing system has been developed to compensate for the effects
of slosh and temperature variation in fluid level measurement
systems used in dynamic environments including automotive
applications. It has been demonstrated that a simple -SVM model
with Radial Basis Function (RBF) Kernel with the inclusion of a
Moving Median filter could be used to achieve the high levels of
accuracy required for fluid level measurement in dynamic
environments. Aimed toward graduate and postgraduate students,
researchers, and engineers studying applications of artificial
intelligence, readers will learn about a measurement system that is
based on a single ultrasonic sensor which can achieve the high
levels of accuracy required for fluid level measurement in dynamic
environments.
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