187 Interactive Session: Data and Information Systems


Description:
This session solicits posters in the broad area of Data and Information Management in the chemical engineering domain. Abstracts describing methods, applications, challenges, and tools are all welcome.

Sponsor:
Data and Information Systems
Co-Sponsor(s):
Poster Sessions (POSTERSESSIONS)


Chair:
Donald J. Chmielewski
Associate Professor
Illinois Institute of Technology
Chemical and Biological Engineering
Suite 127, Perlstein Hall
Chicago, IL
60616
Email: chmielewski@iit.edu

Co-Chair:
Matthew Realff
Georgia Institute of Technology
School of Chemical and Biomolecular Engineering
311 Ferst Drive
Atlanta, GA
30332
Email: matthew.realff@chbe.gatech.edu


Papers:
187a
Development and Proving of an Information System
Holger Mayer, Hamburg University of Technology; Georg Fieg, University of Technology Hamburg
187b
Evaluating Hospital Performance Using Process Systems Engineering Tools
Jangwon Lee, Auburn University; Ravi Chinta, Auburn University at Montgomery; Q. Peter He, Auburn University
187c
Deepmetabolism: A Deep Learning Algorithm to Predict Phenotype from Genome Sequencing
Weihua Guo, Virginia Polytechnic Institute and State University; You Xu, ai.codes, Inc.; Xueyang Feng, Virginia Polytechnic Institute and State University
187d
Multiscale Dynamics System Identification of Time Series of Riser Reactor Temperature in FCC Process Based on Hilbert-Huang Transform
Daofan Cao, China University of Petroleum; Yingya Wu, China University of Petroleum; Xingying Lan, China University of Petroleum; Jinsen Gao, China University of Petroleum (Beijing); Chunming Xu, China University of Petroleum (Beijing)
187e
Next-Generation Process Monitoring for Iot-Enabled Smart Manufacturing
Q. Peter He, Auburn University; Jin Wang, Auburn University
187f
Reaction Identification and Parameter Estimation from Chemical Process Data
Zachary Wilson, Carnegie Mellon University; Nick Sahinidis, Carnegie Mellon University
187g
Plant-Wide Visualization for Situation Awareness Using Ising Model Based Clustering of Vanishing Correlations
Masanao Natsumeda, NEC Corporation
187h
Process Monitoring Using a PCA-Based Exponentially Weighted Generalized Likelihood Ratio Chart
M. Ziyan Sheriff, Texas A&M University; Chiranjivi Botre, Texas A&M University; Majdi Mansouri, Texas A&M University at Qatar; M. Nazmul Karim, Texas A&M University; Hazem Nounou, Texas A&M University at Qatar; Mohamed Nounou, Texas A&M University at Qatar
187i
An Inverse-Model-Based Methodology for Real-Time Fault Diagnosis in Non-Square Multivariate Dynamic Systems
Liwen Chen, Lamar University; Qiang Xu, Lamar University
187j
Root Cause Diagnosis of Process Fault Using Modified Convergent Cross Mapping and Bayesian Network
Feifan Cheng, Tsinghua University; Jinsong Zhao, Responsible Production and APELL Center (UNEP), Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division
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