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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...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-00633-8 | ||
| 003 | DE-He213 | ||
| 005 | 20220116232045.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130615s2013 sz | 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 | |
| 050 | 4 | |a TL1-483 | |
| 072 | 7 | |a TRC |2 bicssc | |
| 072 | 7 | |a TEC009090 |2 bisacsh | |
| 072 | 7 | |a TRC |2 thema | |
| 082 | 0 | 4 | |a 629.2 |2 23 |
| 100 | 1 | |a Terzic, Jenny. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 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. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a Cham : |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 Automotive engineering. | |
| 650 | 0 | |a Fluid mechanics. | |
| 650 | 0 | |a Measurement. | |
| 650 | 0 | |a Measuring instruments. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 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. |
| 700 | 1 | |a Terzic, Edin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Nagarajah, Romesh. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Alamgir, Muhammad. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319006345 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319033273 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319006321 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-00633-8 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||