Preliminary Program subject to change
10C06 Data Analysis: Design, Algorithms & Applications
OverviewThe avalanche of data made available by the continuing advances in experimental measurement techniques has created both opportunities and major challenges towards efficient computational processing of the data sets. Extracting useful information (i.e., knowledge) from these large data sets requires an integral approach that couples the design of experiments or measurement techniques with the algorithms or applications required for the data processing and analysis. New tools for representing, extracting, and using the knowledge available in data sets are expected to emerge to perform tasks in data-rich, analysis-rich situations rather than being data-poor, analysis-rich, which has been the traditional scenario until recently. Contributions are sought that propose new modeling approaches and computational algorithms for addressing issues related to data analysis, management and data-based decision making. Suggested topics include, but are not limited to: * Model based experimental design and use of new data to refine models * Analysis of complex systems including material and biological * Use of data analysis for design, optimization, and control * Interplay of first principles and data driven models in knowledge extraction. The following topics are also of interest to this session: * Distributed decision making in organizations * Decentralized information processing * Financial modeling & investment planning * Information management across the WWW. Applications with industrial relevance are strongly encouraged.
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

Santhoji Katare
The Dow Chemical Company
2301 N. Brazosport Blvd., B-1217
Freeport, TX 77541-3257
Phone Number: 979-238-5749
Email: SRKatare@dow.com
Data-Driven Soft Sensor Design - Application to Cement Kiln
Bao Lin1, Bodil Recke2, Jørgen Knudsen2 and Sten Bay Jørgensen1, (1)CAPEC, Department of Chemical Engineering, Technical University of Denmark, Lyngby, DK-2800, Denmark, (2)FLSmidth Automation, Valby, Dk-2500, Denmark
Overcoming False Positives (Type-I Errors) While Monitoring of Transient Operations Using Principal Component Analysis
Yew Seng Ng, National University of Singapore, Department of Chemical and Biomolecular Engineering, 10 Kent Ridge Crescent, Singapore, 119260, Singapore and Rajagopalan Srinivasan, Department of Chemical and Biomolecular Engineering, National University of Singapore, 10 Kent Ridge Crescent,, Singapore, 119260, Singapore
An Improved Methodology to Determine the Stochastic-Based Accuracy of Data Reconciliation-Based Estimators in Linear Systems
DuyQuang Nguyen, University of Oklahoma, 100 E. Boyd St., T-335, Norman, OK 73019 and Miguel J. Bagajewicz, The University of Oklahoma, The Energy Center, 100 E. Boyd, Room T-335, Norman, OK 73019-0628
Hierarchical K-Means Clustering Using Principal Components to Solve the Unsupervised Multi-Class Classification Problem
Syed B. Mohiddin, The Ohio State University, Koffolt Lab, 140 W19th Avenue, Columbus, OH 43210, James Rathman, The Ohio State University, 140 West, 19th Avenue, Columbus, OH 43210 and Chihae Yang, Leadscope Inc., 1393 Dublin Rd., Columbus, OH 43215
A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem
Metin Turkay, College of Engineering, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, 34450, Turkey and Fadime Uney, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul, 34450, Turkey
Validation of a Model for a Biodiesel Production Process through Model-Based Experiment Design for Parameter Precision
Gaia Franceschini and Sandro Macchietto, Chemical Engineering, Imperial College of London (UK), South Kensington Campus, SW7 2AZ, London, United Kingdom
Hybrid Modeling and Multi-Objective Optimization of an Industrial Hydrocracker
Naveen Bhutani, National University of Singapore, Singapore, Department of Chemical and Biomolecular Engineering,National University of Singapore, 10, Kent Ridge Crescent, Singapore 119260, Singapore, 119260, Singapore, Ajay K. Ray, Department of Chemical and Biomolecular Engineering, University of Western Ontario, London, ON N6A 5B9, Canada and Gade P. Rangaiah, Department of Chemical and Biomolecular Engineering, Department of Chemical and Biomolecular Engineering,National University of Singapore, 10, Kent Ridge Crescent, Singapore 119260, Singapore, 119260, Singapore

Computing and Systems Technology Division