Grant: Strategic Projects - Group
University of Calgary
$179,000.00
Algorithms and methodologies of controlling unsteady flows
FY 2015-16
Summary
The objective of this project is to develop a computer-based virtual environment (VE) platform for supporting expert data-analysis and decision-making. The platform is illustrated for an important and pervasive industrial challenge: controlling unsteady flows (e.g., liquids/gas flow reactors). Embedded in the platform is a set of enabling algorithms that make robust and reliable recognition of key patterns from complex and massive flow data; and that render the recognized patterns effectively for three-dimensional visualization and multi-user interaction. Advancing the state of the art, these algorithms are unconventional solutions to current research challenges - such as incompleteness of data for flow pattern recognition, subjectivity of representations and inadequacy of simulation tools for real-time analysis. The significance of the VE platform is exemplified through applications to chemical flow reactors, a core business interest of our supporting organization NOVA Chemicals Corporation.
The project fits well into the target area of Information and Communication Technologies, under the research topic of ""(e) From Data to Knowledge to Action - unstructured pattern recognition."" With strong industrial support, we envision such a VE platform to boost the productivity and competitiveness of many Canadian sectors; in which experts across disciplines must routinely decode complex and massive data together in their problem-solving and decision-making activities.
Program
Strategic Projects - Group
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
478870-2015
Name nom
Hu, Yaoping
Department département
Electrical and Computer Engineering
Organization id
11
Institution établissement
University of Calgary
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
179000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1567
Committee name en
Strategic Projects Selection Panel - ICT
Committee name fr
Comité de sélection des projets stratégiques - ICT
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2605
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Pattern analysis and machine intelligence
Research subject fr
Analyse de formes et intelligence artificielle
Partie
1
Nb partie
3
Application title
Algorithms and methodologies of controlling unsteady flows
Keyword
NSERC
Application summary
The objective of this project is to develop a computer-based virtual environment (VE) platform for supporting expert data-analysis and decision-making. The platform is illustrated for an important and pervasive industrial challenge: controlling unsteady flows (e.g., liquids/gas flow reactors). Embedded in the platform is a set of enabling algorithms that make robust and reliable recognition of key patterns from complex and massive flow data; and that render the recognized patterns effectively for three-dimensional visualization and multi-user interaction. Advancing the state of the art, these algorithms are unconventional solutions to current research challenges - such as incompleteness of data for flow pattern recognition, subjectivity of representations and inadequacy of simulation tools for real-time analysis. The significance of the VE platform is exemplified through applications to chemical flow reactors, a core business interest of our supporting organization NOVA Chemicals Corporation.
The project fits well into the target area of Information and Communication Technologies, under the research topic of ""(e) From Data to Knowledge to Action - unstructured pattern recognition."" With strong industrial support, we envision such a VE platform to boost the productivity and competitiveness of many Canadian sectors; in which experts across disciplines must routinely decode complex and massive data together in their problem-solving and decision-making activities.