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CS HOME PAGE Spring 1999 Computer Science Seminar, Fridays at 12 o'clock, Aeronautics 221



Speaker Date Topic
William Shoaff January 15 Organizational Meeting
Michael Thomason January 22 The Average Availability of Multiprocessor Checkpointing Systems
John Ellis January 29 Pluto: A Satellite Simulator Tool Kit
Gary Lutchansky and Ivica Kostanic February 5 Automatic Frequency Planning for Wireless Communications Systems using Simulated Annealing
Mark Lucas February 12 Remote Sensing Image Processing
Chris Graham and Joe Smith February 19 Pushing Java to the Extreme
Steve Atkins February 26 Internationalization
Alan Jorgenson March 5 Breaking Any Program
Spring Break March 12 No Class
Al Hevner March 19 The CATCH Project: Building a Data Warehouse to Support Comprehensive Assessment for Tracking Community Health for the State of Florida.
Jeff Winterich March 26 TBA
Michael Freeman April 2 NASA's Intelligent Systems Program
Christopher Paluszek April 9 JINI
Vince Kovarik April 16 TBA
Kevin Fox April 23 Information Retrieval and Visualization
Ivica Kostanic April 30 Automatic Frequency Planning for Wireless Communications Systems using Simulated Annealing

 The Average Availability of Multiprocessor Checkpointing Systems
Michael G. Thomason
The University of Tennessee

 Remote Sensing Image Processing
Mark Lucas
Image Links
The presentation will include an overview of remote sensing image processing with some conceptual graphics showing how some of the algorithms work. We use projective geometry algorithms that are similar in many ways to some ray tracing algorithms. The tools model the error in the collection process and automatically use feature correlation to adjust the error out of the sensor parameters. Each of the Sensor parameters (x,y,z, roll, pitch, yaw, focal length) have associated error models that limit the allowable adjustment. Finally, a brief overview of our current effort in porting to Linux and sponsoring an open source development effort at http://www.remotesensing.org.


 CATCH(IT): A Data Warehouse to Support Comprehensive Assessment for Tracking
Community Health (Information Technology Initiative)*

Alan R. Hevner Information Systems and Decision Sciences
College of Business Administration
University of South Florida
Tampa, FL 33620

A systematic methodology, Comprehensive Assessment for Tracking Community Health (CATCH), for analyzing the health status of communities has been under development at the University of South Florida since the early 1990s. CATCH draws 226 health status indicators from multiple data sources and uses an innovative comparative framework and weighted evaluation criteria to produce a rank-ordered list of community health problems. CATCH has been applied successfully in many Florida counties; focusing attention on high priority health issues and measuring the impact of health expenditures on community health status outcomes. Previously performed manually, we are automating the CATCH methodology with a full-scale data warehouse, user-friendly forms and reports, and extended analysis and data mining capabilities. The automated system, CATCH(IT), will reduce the time to prepare community health status reports from months to days. In this presentation, I present the current status of the project, along with the principal research and development issues and future directions of the project.

 Dr. Michael S. Freeman
NASA's Intelligent Systems Program
Ames Research Center Liaison at Kennedy Space Center
Code ARC
KSC FL 32899
(407) 867-7894 (Office)
(407) 867-2302 (FAX)
Headquarters Bldg. Room 3336

NASA's bold missions in space exploration and aeronautics require significant advances in many areas of science and technology. One of the most areas is information technology. The information technology revolution at NASA is two-fold: first, state of the art computer technology is enabling new missions at lower cost; and second, NASA is starting to understand itself as an information technology agency: "When people think of space, they think of rocket plumes and the Space Shuttle, but the future of space is information technology. We must develop a virtual presence, in space, on planets, in aircraft and spacecraft." * Daniel S. Goldin, NASA Administrator

The Intelligent Systems (IS) Initiative is designed to begin a national strategic research program that will fulfill or exceed the NASA Administrator's vision for next generation information technology capabilities. The Initiative will achieve this vision by developing state of the art and revolutionary IS technologies, by leveraging government and university research, and by feeding maturing technologies to ongoing NASA missions and activities, to industry activities, and to other government agencies.

 Dr. Kevin Fox
Information Retrieval and Visualization
Harris Corp.

Information retrieval systems search and retrieve unstructured data from a collection of documents in response to user queries. This talk will present an overview of a prototype Information Retrieval system, SENTINEL, under development at Harris Corporation's Information Systems Division. SENTINEL is a fusion of multiple information retrieval technologies, integrating n-grams, a vector space model, and a neural network training rule. One of the primary advantages of SENTINEL is its 3-dimensional visualization capability that provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision). This talk will also highlight results obtained by SENTINEL in Text REtrieval Conference (TREC) competition conducted by NIST, and suggest areas for future research.


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William Shoaff
1999-04-21