论文信息 - Methodology and Experimental Program

Methodology and Experimental Program

This chapter discusses the characteristics of the ultrasonic sensor signal obtained from a fuel level sensor under dynamic conditions and describes a methodology to be used to develop a fluid level measurement system that compensates for the effects of a dynamic environment. This involves using an intelligent signal classification approach based on support vector machines. This chapter also describes the signal filtration functions that will be implemented to enhance the performance of the SVM-based signal classification system.

Romesh Nagarajah | Jenny Terzic | Edin Terzic | Muhammad Alamgir

[1] B. Bowerman. Statistical Design and Analysis of Experiments, with Applications to Engineering and Science , 1989 .

[2] Elad Yom-Tov,et al. An Introduction to Pattern Classification , 2003, Advanced Lectures on Machine Learning.

[3] John A. Richards,et al. Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[4] Ronald E. Goldstein,et al. Principles and techniques , 2009 .

[5] Geoff Dougherty. Feature Extraction and Selection , 2013 .

[6] Gunnar Rätsch,et al. Advanced lectures on machine learning : ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003 : revised lectures , 2004 .

[7] Issa Bass,et al. Six Sigma Statistics with EXCEL and MINITAB , 2007 .

[8] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .

[9] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..