rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications
    sub title: A Support Vector Machine Approach
  name:
    name part: Terzic, Jenny.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Terzic, Edin.
    role:
      role term: author.
  name:
    name part: Nagarajah, Romesh.
    role:
      role term: author.
  name:
    name part: Alamgir, Muhammad.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 129 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Jenny Terzic, Edin Terzic, Romesh Nagarajah, Muhammad Alamgir.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Physical measurements
  subject:
    topic: Measurement
  subject:
    topic: Fluid mechanics
  subject:
    topic: Automotive engineering
  subject:
    topic: Engineering
  subject:
    topic: Automotive Engineering
  subject:
    topic: Engineering Fluid Dynamics
  subject:
    topic: Measurement Science and Instrumentation
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TL1-483
  classification: 629.2
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319006338
  identifier: http://dx.doi.org/10.1007/978-3-319-00633-8
  record info:
    record creation date: 130615
    record change date: 20151125162440.0
    record identifier: 978-3-319-00633-8