Preliminary Program subject to change
10C03 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

Rajagopalan Srinivasan
Department of Chemical and Biomolecular Engineering
National University of Singapore
4 Engineering Drive 4
Singapore, 117576
Singapore
Phone Number: (65)65168041
Fax Number: (65) 67791936
Email: chergs@nus.edu.sg

CoChair

Matt H. Bassett
Senior Scientist
Dow AgroSciences
9330 Zionsville Rd.
Indianapolis, IN 46268
Phone Number: 317-337-3891
Fax Number: 317-337-3628
Email: mhbassett@dow.com

* Membership Number 132259
Industrial Process Troubleshooting Using Multivariate Statistical Analysis
Leo H. Chiang and Zdravko Stefanov, The Dow Chemical Company, Corporate R&D, 2301 Brazosport Blvd., B1463, Freeport, TX 77584
Enhancing Data-Based Fault Isolation Through Feedback Control
Ben Ohran1, David Muņoz de la Peņa1, Panagiotis D. Christofides2 and James F. Davis3, (1)Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, CA 90095, (2)Department of Chemical and Biomolecular Engineering, Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA 90095, (3)University of California - Los Angeles, Los Angeles, CA 90095
Fuzzy Model Based Industrial Batch Dryer Data Analysis
Levente L. Simon, Ulrich Fischer and Konrad Hungerbuehler, Institute for Chemical and Bioengineering, Safety and Environmental Technology Group, ETH Zurich, HCI, ETH Hoenggerberg, Zurich, 8093, Switzerland
Data-Driven Strategy For Real-Time Quality Control And Recovery In Batch Operations
David Dawei Wang, Process Science and Modelling, Institute of Chemical & Engineering Sciences, 1 Pesek Rd., Jurong Island, Singapore, Singapore and Rajagopalan Srinivasan, Department of chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore, Singapore
Two-Level Algorithm for the Creation of Virtual Analyzers
Nickolai V. Lisitsyn1, Nikolay V. Kuzickin2, Vladimir I. Fedorov2 and Natalia S. Panchenko2, (1)Chair of resources and energy saving, Institute of Chem.Tecnology, Kolcov street,30, Moskovcki av.,26, Saint Petersburg, Russia, (2)Institute of Chem.Tecnology, Moskovcki av.,26, Saint Petersburg, 190013, Russia
Model Reduction For Data Analysis
Heinz A. Preisig and Ivan Dones, Chemical Engineering, NTNU, S. Saelandsveg 6, Trondheim, 7491, Norway

Computing and Systems Technology Division