714 Big Data Applications in Chemical Engineering

Thursday, November 7, 2013: 3:15 PM
Continental 2 (Hilton)
Description:
Chemical Engineering has entered the Big Data era in which large-scale data collection systems result in great opportunities for knowledge discovery. In this session, reports on real-life applications in this Big Data context are solicited for.

Sponsor:
Information Technology

Chair:
Bri-Mathias S. Hodge
Email: bri-mathias.hodge@nrel.gov

Co-chairs:
Leaelaf M. Hailemariam
Email: lhailemariam@dow.com

Kris Villez
Email: kris.villez@eawag.ch


3:15 PM
Break

3:35 PM
(714b) Development of a Real-Time Monitoring System of Abnormal Fire Incidents Based On the Mining of National Fire, Disaster and Meteorological Data
Kidon Joo, Hoon Kang, Sanghoon Ahn and Dongil Peter Shin

3:55 PM
(714c) Comparison of Different Variable Selection Methods for PLS Soft Sensor Development
Zi Xiu Wang, Jin Wang and Q. Peter He

4:15 PM
(714d) Development of An Efficient Variable Selection Methodology for Calibration Model Design
Koichi Fujiwara and Manabu Kano

4:35 PM
(714e) Independent Component Analysis Mixture Model Based Dissimilarity Method for Performance Monitoring of Non-Gaussian Multimode Dynamic Processes
Jingyan Chen and Jie Yu

4:55 PM
(714f) Joint Probability and Correlation Analysis of Wind and Solar Power Forecast Errors in the Western Interconnection
Jie Zhang, Anthony Florita and Bri-Mathias S. Hodge

5:15 PM
(714g) The Open Symbiotic Data Repository: A Data-Driven Perspective for Industrial Symbiosis
Antonis Korkofigkas
See more of this Group/Topical: Computing and Systems Technology Division
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