This dissertation presents a methodology for generation of fault diagnostic knowledge from a description of a device. The generated knowledge is to be used in a computer based learning environment for fault diagnostic tasks. In the past, developers of such…

This thesis proposes a speaker-independent, continuous-speech stop recognition algorithm. The method incorporates knowledge into the system by means of rules whose conditions are linked to acoustic events. Coarticulatory effects present in the speech are taken into account with the analysis…

A knowledge-based expert system was developed to assess the level of abnormality in the brain electrical activity of pediatric patients monitored in the intensive care unit. Six hours of an 8-channel EEG record serves as the input to the monitoring…

The objective of this thesis is to provide an analysis of Linear Predictive Coding (LPC) frequencies and Line Spectrum Pair (LSP) frequencies. While it is generally known that LSP frequencies congregate about LPC formants, this study will deal with how…

This work addresses the automatic construction of geometric models of real scenes, from multi-view three-dimensional sensor data., We review range data acquisition, multi-view integration, and solid modeling. We show that knowledge about the data acquisition procedure yields not only the…

Action planning ability is essential for autonomous behavior of an intelligent machine. In the robotics domain, planning occurs at different levels of a robotic system; this research targets the problem of planning at the highest level of the hierarchy which…

This thesis presents a framework for qualitatively representing and reasoning about spatial configurations in the two-dimensional case. The framework contains interval/region based formalisms for describing distances, angles, and locations. These representations lead to the formulation of inference rules, as well…