A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
Sprache: Englisch
Verlag: Springer, 2014
- Softcover
- Neu
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer:in bei ZVAB seit 14. August 2006
Zustand: Neu
EUR 124,85
Anzahl: 1 verfügbar
In den WarenkorbArtikelbeschreibung des Verkäufers
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 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.…
Bestandsnummer des Verkäufers 9781447161844
- Titel
- A Neural Network Approach to Fluid Quantity Measurement in Dynamic Environments
- Autor
- Edin Terzic
- Verlag
- Springer
- Erscheinungsjahr
- 2014
- Zustand
- Neu
- Einband
- Taschenbuch
- Sprache
- Englisch
- ISBN-10
- 144716184X
- ISBN-13
- 9781447161844
- Artikelgewicht
- 242 Gramm
- Abmessungen
- 235x155x9 mm
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 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.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Über die Autorin bzw. den Autor
Dr Edin Terzic is the Chief Manufacturing Engineer – Asia Pacific & Managing Director (CEO) of Powertrain at Delphi Automotive Systems Australia. He holds a Bachelor of Mechanical Engineering (with honors) , Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. He has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. He also holds several international patents in the area of automotive engineering and had success in commercialising most of his research. Areas of research include: artificial neural networks, intelligent sensors and non-contact inspection.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists.He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contactinspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering in Computer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporatingArtificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Dr Jenny Terzic is the Senior Manager and RLE Business Leader at Ford Motor Company - Asia Pacific and Africa. She holds a Bachelor of Mechanical Engineering (with honors), Master of Engineering inComputer Integrated Manufacturing and PhD in Automotive Engineering from Swinburne University of Technology. She has published number of technical papers in the area of Engineering Applications of Artificial Intelligence. Areas of research include: support vector machines, artificial neural networks, advance signal processing, intelligent sensors and non-contact inspection.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized researchgroup working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor basedprojects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoringand non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. Professor Nagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
Prof. Romesh Nagarajah is the Professor of Mechanical Engineering at Swinburne University of Technology. He leads an internationally recognized research group working in the fields of Non-Contact Inspection and Intelligent Sensing. ProfessorNagarajah has several international patents and has published over 150 international journal, conference and technical papers in intelligent sensing and non-contact inspection. He has received several grants from the Australian Research Council and the automotive industry to develop intelligent sensing systems for process monitoring and non-contact inspection.
Muhammad Alamgir is a Software Engineer at Vipac Engineers & Scientists. He has graduated in Computer Systems Engineering from RMIT University. He has been developing microcontroller based sensors & instruments, and has also been involved in smart-sensor based projects, incorporating Artificial Intelligence based techniques, at Delphi Automotive Systems, Australia.
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
AHA-BUCH GmbH
Einbeck, Deutschland
Verkäufer:in bei ZVAB seit 14. August 2006
Versandkosten von Deutschland nach USA
| Artikel | 7 bis 10 Werktage | 5 bis 7 Werktage |
|---|---|---|
| Erster Artikel | EUR 35,00 | EUR 45,00 |
Zahlungsarten
- Banküberweisung
- PayPal
- Vorauskasse
Shopbeschreibung
Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.
Spezialisierung
Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & StudiumUnternehmensdaten der Verkäuferin bzw. des Verkäufers
AHA-BUCH GmbH
Garlebsen 48
Einbeck, Deutschland 37574
Verkaufsbedingungen
Impressum
Gesetzliche Anbieterkennung:
AHA-BUCH GmbH
diese vertreten durch den Geschäftsführer Christel Glass
Garlebsen 48
37574 Einbeck
Deutschland
Telefon: 055639996039
Telefax: 055639995974
E-Mail: abebooks@aha-buch.de
USt-IdNr.: DE261904229
eingetragen im Handelsregister des Amtsgerichtes Göttingen
Handelsregisternummer HRB 200691
Alternative Streitbeilegung:
Die Europäische Kommission stellt eine Plattform für die außergerichtliche Online-Streitbeilegung (OS-Plattform) bereit, aufrufbar unter https://ec.europa.eu/odr.
Wir sind seit 25.05.2018 Mitglied der Initiative "FairCommerce".
Nähere Informationen hierzu finden Sie unter www.fair-commerce.de.
Widerrufsrecht
Wenn Sie Verbraucher sind, können Sie gemäß den folgenden Bestimmungen vom Vertrag zurücktreten. Verbraucher ist jede natürliche Person, die zu Zwecken handelt, die nicht ihrer kaufmännischen, gewerblichen, künstlerischen oder beruflichen Tätigkeit zugerechnet werden können.
Informationen zum Widerrufsrecht
Gesetzliches Widerrufsrecht
Sie haben das Recht, den Vertrag innerhalb von 14 Tagen ohne Angabe von Gründen zu widerrufen.
Die Widerrufsfrist beträgt 14 Tage ab dem Tag, an dem Sie oder ein von Ihnen benannter Dritter, der nicht der Transporteur ist, die letzte Ware oder den letzten Posten oder das letzte Exemplar in Besitz genommen hat.
Um das Widerrufsrecht auszuüben, füllen Sie auf unserer Website unter „Meine Einkäufe" in „Mein Nutzerkonto" eine eindeutige Erklärung elektronisch aus und senden Sie sie ab. Wir werden Ihnen unverzüglich eine Bestätigung über den Eingang eines solchen Widerrufs auf einem dauerhaften Datenträger (z. B. per E-Mail) übermitteln.
Um die Widerrufsfrist einzuhalten, reicht es aus, dass Sie Ihre Mitteilung über die Ausübung des Widerrufsrechts vor Ablauf der Widerrufsfrist absenden.
Auswirkungen des Widerrufs
Wenn Sie diesen Vertrag widerrufen, erstatten wir Ihnen alle Zahlungen, die wir von Ihnen erhalten haben, einschließlich der Lieferkosten (mit Ausnahme der zusätzlichen Kosten, die entstehen, wenn Sie eine andere Art der Lieferung als die von uns angebotene günstigste Standardlieferung gewählt haben).
Wir können einen Abzug von der Rückerstattung für den Wertverlust der gelieferten Waren vornehmen, wenn der Verlust auf eine unnötige Behandlung durch Sie zurückzuführen ist.
Wir werden die Rückerstattung unverzüglich und nicht später als 14 Tage nach dem Tag vornehmen, an dem wir über Ihre Entscheidung, diesen Vertrag zu widerrufen, informiert wurden.
Für die Rückerstattung verwenden wir dasselbe Zahlungsmittel, das Sie für die ursprüngliche Transaktion verwendet haben, es sei denn, Sie haben ausdrücklich etwas anderes vereinbart; in keinem Fall werden Ihnen aufgrund einer solchen Rückerstattung Gebühren berechnet.
Wir können die Rückzahlung verweigern, bis wir die Waren wieder zurückerhalten haben oder Sie den Nachweis erbracht haben, dass Sie die Waren zurückgesandt haben, je nachdem, was eher eintritt.
Sie müssen die Waren unverzüglich und in jedem Fall spätestens 14 Tage ab dem Tag, an dem Sie uns über den Widerruf dieses Vertrags unterrichten, an AHA-BUCH GmbH, Einbeck, Germany, zurücksenden oder übergeben. Die Frist ist eingehalten, wenn Sie die Ware vor Ablauf der Frist von 14 Tagen zurücksenden. Sie müssen die direkten Kosten der Rücksendung der Waren tragen. Sie haften nur für einen etwaigen Wertverlust der Waren, der auf eine Behandlung zurückzuführen ist, die nicht zur Prüfung der Art, Eigenschaften und Funktionsweise der Waren erforderlich ist.
Ausnahmen vom Widerrufsrecht
Das Widerrufsrecht gilt nicht für:
- Die Lieferung von Zeitungen, Zeitschriften oder Magazinen mit Ausnahme von Abonnementverträgen; und
- Die Lieferung digitaler Inhalte, die nicht auf einem physischen Medium (z. B. auf einer CD oder DVD) geliefert werden, wenn Sie bei Ihrer Bestellung akzeptiert haben, dass wir mit der Lieferung beginnen können und dass Sie nach Beginn der Lieferung den Vertrag nicht mehr widerrufen können.
Versandbedingungen
Wir liefern Lagerartikel innerhalb von 24 Stunden nach Erhalt der Bestellung aus.
Barsortimentsartikel, die wir über Nacht geliefert bekommen, am darauffolgenden Werktag.
Unser Ziel ist es Ihnen die Artikel in der ökonomischten und effizientesten Weise zu senden.