2019 AIChE Annual Meeting

Session: Interactive Session: Data and Information Systems

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.

Chair

Presentations

03:30 PM

(370j) A Stochastic Programming for Optimal Fence Line Monitoring and Detection of Toxic and Flammable Gases Using Fixed and Mobile Sensors
Dongil Shin, Dongho Kwak
(370k) Hierarchical Multi-Class Segmentation for Identification of MIMO Systems from Historical Data
S. Manikandan, Raghunathan Rengaswamy
(370u) Cognitive Autonomous Agents for Process Abnormal Behaviour Detection: An Application of Arti?cial Intelligence
Vishnu Masampally, Sagar Srinivas, Venkataramana Runkana
(370a) Computer Vision Improvised Cell Detection for Lab-on-a-Chip Diagnostics Point Care Solutions
Sagar Srinivas, Vishnu Masampally, Venkataramana Runkana
(370q) Reverse Mapping of Nonlinear Process Responses By a Trained Neural Network
Tapan Bagchi
(370b) Probabilistic PCA for Multivariate Process Monitoring and Comparison with PCA
Weike Sun, Richard D. Braatz
(370c) A Holistic Approach for the Development and Test of an Information System
Holger Mayer, Georg Fieg
(370l) Semi-Automatic Method to Optimize Multi-Lamp High Flux Solar Simulators Utilizing Machine Learning Algorithms
Konstantinos Kakosimos, Mohammed Al-Hashimi, Ali Arshard, Safeer Hafeez, Mohammed Hassan, Bassam Khalil
(370d) A Data-Driven Approach for Parameter Estimation of Stochastic Models By Using Machine Learning Techniques
Chunbing Huang, Federica Cattani, Federico Galvanin
(370t) Going through the Disruptive Transformations in Chemical Industrial Practices : Impact of Expert Systems and Artificial Intelligence on Automation and Decision Making
Chandra Shekar Besta, Shivashish Kulshreshtha, Raju Yerolla
(370e) Hybrid Cutpoint Optimization Using Improved Swing-Cut Method and Data Analytics for Crude-Oil Distillation Towers
Robert E. Franzoi, Brenno C. Menezes, Jeffrey D. Kelly, Ignacio Grossmann, Jorge A. W. Gut
(370f) Quantitative Evaluation of Grouping Complex Substances and Sorbent Material Design: Delivering Data-Informed Insights
Burcu Beykal, Melis Onel, Lan Zhou, Fred A. Wright, Timothy D. Phillips, Ivan Rusyn, Efstratios Pistikopoulos
(370s) GPU Parallel Forward and Backward Selection for Model Building
Benjamin Sauk, Nikolaos V. Sahinidis
(370m) Machine Learning for Biorefining: Towards a Universal Kinetic Model of Wood Deconstruction
Yankai Cao, Heather L. McKenzie-Trajano, Edward Wang
(370n) Constructing Interpretable and Accurate Model Combining Decision Tree and Random Forest
Hiromasa Kaneko, Naoto Shimizu
(370o) New Evaluation Method of Soft Sensors Considering Characteristics of Time Series Data
Hiromasa Kaneko, Takumi Kojima
(370g) Experimental Validation of Methods for Optimizing Remaining Useful Life (RUL)
Jose O. A. Matias, Adriaen Verheyleweghen, Johannes Jäschke
(370h) Prediction of Pressure Drop of Platforming Exchanger in a Continuous Catalytic Reforming Unit
Fangyuan Ma, Wei Sun, Tianshu Chen, Jingde Wang
(370p) Model-Based Optimization of Laser-Reduced Graphene with Sparse Datasets
Patrick A. Johnson, Hud Wahab, Alexander Tyrrell, Vivek Jain, Lars Kotthoff
(370i) Constrained Parameter Identification Algorithms for Dual-Rate Systems with Inter-Sample Output Prediction
Jingwei Gan, Satish Parulekar
(370v) Machine Learning-Based Surrogate Modeling and Optimization: Application to Systematic Process Intensification Using Building Block Superstructure
Sun Hye Kim, Salih Emre Demirel, Jianping Li, Faruque Hasan, Matthew Realff, Fani Boukouvala
(370r) Development of an Image Analysis Tool for High-Speed Imaging Data in a Dropwise Additive Manufacturing Process
Andrew J. Radcliffe, G. V. Rex Reklaitis