Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach
暫譯: 動態車輛應用中的超聲波流體量測:支持向量機方法

Jenny Terzic

  • 出版商: Springer
  • 出版日期: 2015-07-07
  • 售價: $4,600
  • 貴賓價: 9.5$4,370
  • 語言: 英文
  • 頁數: 144
  • 裝訂: Paperback
  • ISBN: 3319033271
  • ISBN-13: 9783319033273
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

準確的流體液位測量在動態環境中可以使用支持向量機(Support Vector Machine, SVM)方法進行評估。SVM是一種監督式學習模型,能夠分析和識別模式。這是一種信號分類技術,其準確性遠高於傳統的信號平均方法。

《動態車輛應用中的超聲波流體量測:支持向量機方法》描述了一個針對動態環境的流體液位測量系統的研究與開發。該測量系統基於單一的超聲波傳感器。已開發出基於支持向量機(SVM)的信號特徵化和處理系統,以補償在動態環境中使用的流體液位測量系統中,由於波動和溫度變化所造成的影響,包括汽車應用。已證明,簡單的ν-SVM模型結合徑向基函數(Radial Basis Function, RBF)核和移動中位數濾波器的使用,可以實現動態環境中流體液位測量所需的高準確度。

本書針對研究人工智慧應用的研究生、碩士生和工程師,讀者將了解基於單一超聲波傳感器的測量系統,該系統能夠實現動態環境中流體液位測量所需的高準確度。