9783319006338
IR
EN-51598
انگلیسی
IR
Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Application
[Book]
:A Support Vector Machine Approach
/ by Jenny Terzic, Edin Terzic, Romesh Nagarajah, Muhammad Alamgir
Heidelberg
: Springer International Publishing :Imprint: Springer,
, 2013.
XIV, 129 p. 90 illus., 24 illus. in color., online resource.
Electronic
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 [nu]-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.
Introduction -- Ultrasonic Sensing Technology.-Ultrasonic Sensor Based Fluid Level Sensing Using Support Vector Machines -- Methodology and Experimental Program -- Experimentation -- Results -- Discussion -- Conclusion and Future Work.
Engineering
Artificial intelligence
Hydraulic engineering
Electronic books
E-BOOK
Terzic, Jenny.
Terzic, Edin
Nagarajah, Romesh
Alamgir, Muhammad
SpringerLink (Online service)
ایران
9783319006321.pdf
عادی
عادی
9783319006321.pdf
متن
old catalog
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BL
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