Terzic edin (39 resultados)

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny; Terzic, Edin; Nagarajah, Romesh; Alamgir, Muhammad
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Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny; Terzic, Edin; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny; Terzic, Edin; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin; Terzic, Jenny; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin; Terzic, Jenny; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Condición: New. pp. xii + 140.

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny; Terzic, Edin; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. 152.

A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin/ Terzic, Jenny/ Nagarajah, Romesh/ Alamgir, Muhammad
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 2012 edition. 140 pages. 9.25x6.10x0.36 inches. In Stock.

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 2013 edition. 190 pages. 9.25x6.25x0.50 inches. In Stock.

A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin/ Terzic, Jenny/ Nagarajah, Romesh/ Alamgir, Muhammad
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 2012 edition. 224 pages. 9.25x6.25x0.75 inches. In Stock.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments | Edin Terzic (u. a.) | Taschenbuch | xii | Englisch | 2014 | Springer | EAN 9781447161844 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[d…ot]com | Anbieter: preigu.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 109,94
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, thereby a…ccurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurementin dynamic environments using neural network approach useful.

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, th…ereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurementin dynamic environments using neural network approach useful.

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny, Terzic, Edin, Nagarajah, Romesh, Alamgir, Muh
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 163,79
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A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin, Terzic, Jenny, Nagarajah, Romesh, Alamgir, Muh
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 163,79
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A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Edin Terzic, Muhammad Alamgir, Romesh Nagarajah, Jenny Terzic
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid surface, th…ereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurementin dynamic environments using neural network approach useful.

A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Terzic, Edin, Terzic, Jenny, Nagarajah, Romesh, Alamgir, Muh
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 176,94
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Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny, Terzic, Edin, Nagarajah, Romesh, Alamgir, Muh
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the f…luid surface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurement in dynamic environments using neural network approach useful. 152 pp. Englisch.

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sloshing causes liquid to fluctuate, making accurate level readings difficult to obtain in dynamic environments. The measurement system described uses a single-tube capacitive sensor to obtain an instantaneous level reading of the fluid su…rface, thereby accurately determining the fluid quantity in the presence of slosh. A neural network based classification technique has been applied to predict the actual quantity of the fluid contained in a tank under sloshing conditions. In A neural network approach to fluid quantity measurement in dynamic environments, effects of temperature variations and contamination on the capacitive sensor are discussed, and the authors propose that these effects can also be eliminated with the proposed neural network based classification system. To examine the performance of the classification system, many field trials were carried out on a running vehicle at various tank volume levels that range from 5 L to 50 L. The effectiveness of signal enhancement on the neural network based signal classification system is also investigated. Results obtained from the investigation are compared with traditionally used statistical averaging methods, and proves that the neural network based measurement system can produce highly accurate fluid quantity measurements in a dynamic environment. Although in this case a capacitive sensor was used to demonstrate measurement system this methodology is valid for all types of electronic sensors. The approach demonstrated in A neural network approach to fluid quantity measurement in dynamic environments can be applied to a wide range of fluid quantity measurement applications in the automotive, naval and aviation industries to produce accurate fluid level readings. Students, lecturers, and experts will find the description of current research about accurate fluid level measurement in dynamic environments using neural network approach useful. 152 pp. Englisch.

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Librería: moluna, Greven, Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the dynamic aspect (sloshing) of the fluid level measurement system in the vehicle and uses SVM as a method to improve accuracy of the system and recognize the sloshing pattern in the f…uel tank with superior accuracy Discusses extensive exper.

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Librería: moluna, Greven, Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates the effectiveness of signal enhancement on the neural network based signal classification systemCompares results obtained from the investigation with traditionally used statistica…l averaging methodsEnables a wide range of fluid.

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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the dynamic aspect (sloshing) of the fluid level measurement system in the vehicle and uses SVM as a method to improve accuracy of the system and recognize the sloshing pattern in the fuel tank with s…uperior accuracy Discusses extensive exper.

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Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 92,27
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates the effectiveness of signal enhancement on the neural network based signal classification systemCompares results obtained from the investigation with traditionally used statistical averaging met…hodsEnables a wide range of fluid.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. xii + 140.

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
Terzic, Jenny; Terzic, Edin; Nagarajah, Romesh; Alamgir, Muhammad
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 129.