On exploiting human domain workflows in cyber-physical systems

In this thesis, we describe a general methodology for enhancing sensing accuracy in cyber-physical systems that involve human domain workflows in noisy physical environment. A novel workflow-aware sensing model is proposed to jointly correct unreliable sensor data and keep track of states in a workflow. We also propose a new inference algorithm to handle cases with partially known states and objects as supervision. Our model is evaluated with extensive simulations. As a concrete application, we develop a novel log service called Emergency Transcriber, which can automatically document operational procedures followed by teams of first responders in emergency response scenarios. Evaluation shows that our system has significant improvement over commercial off-the-shelf (COTS) sensors and keeps track of workflow states with high accuracy in noisy physical environment.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2019

Author dc:creator

• Wang, Hongwei

Contributors dc:contributor

• Abdelzaher, Tarek F.

• Workflow
• Sensing
• Medical

Statement dc:rights

• Copyright 2016 Hongwei Wang

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/95616

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/95616