Paper
15 September 2004 User interfaces for process modeling and detection systems
Author Affiliations +
Abstract
User interfaces are important for process modeling and detection systems. This paper discusses the user interface design and implementation for the innovative Process Query System (PQS). Discussion focuses on the Hidden Markov Model (HMM) editor, model validation, process query types, and result visualization. A log likelihood indicator is used to evaluate and visualize the goodness of model-observation matching. A numerical method to measure the distinguishability between two HMMs is proposed and proved effective. The measurement is performed by estimating misdetection rate using the Monte Carlo simulation method. A visual HMM comparison tool using this method is implemented in the user interface.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Sheng "User interfaces for process modeling and detection systems", Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); https://doi.org/10.1117/12.548176
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Human-machine interfaces

Visualization

Systems modeling

Process modeling

Monte Carlo methods

Visual process modeling

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