Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications A Support Vector Machine Approach /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Terzic, Jenny (Συγγραφέας), Terzic, Edin (Συγγραφέας), Nagarajah, Romesh (Συγγραφέας), Alamgir, Muhammad (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Springer International Publishing : Imprint: Springer, 2013.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03544nam a22005415i 4500
001 978-3-319-00633-8
003 DE-He213
005 20151125162440.0
007 cr nn 008mamaa
008 130615s2013 gw | s |||| 0|eng d
020 |a 9783319006338  |9 978-3-319-00633-8 
024 7 |a 10.1007/978-3-319-00633-8  |2 doi 
040 |d GrThAP 
050 4 |a TL1-483 
072 7 |a TRC  |2 bicssc 
072 7 |a TRCS  |2 bicssc 
072 7 |a TEC009090  |2 bisacsh 
082 0 4 |a 629.2  |2 23 
100 1 |a Terzic, Jenny.  |e author. 
245 1 0 |a Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications  |h [electronic resource] :  |b A Support Vector Machine Approach /  |c by Jenny Terzic, Edin Terzic, Romesh Nagarajah, Muhammad Alamgir. 
264 1 |a Heidelberg :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2013. 
300 |a XIV, 129 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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 ν-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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Physical measurements. 
650 0 |a Measurement. 
650 0 |a Fluid mechanics. 
650 0 |a Automotive engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Automotive Engineering. 
650 2 4 |a Engineering Fluid Dynamics. 
650 2 4 |a Measurement Science and Instrumentation. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Terzic, Edin.  |e author. 
700 1 |a Nagarajah, Romesh.  |e author. 
700 1 |a Alamgir, Muhammad.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319006321 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-00633-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)