Issue 10 Volume 41 May 16, 2003

the report. This report contains recommendations regarding the selection of the test sections, guidelines for data collection,
and methods of data analysis.
NTIS
Data Bases; Data Management; Pavements; Performance Prediction
63
CYBERNETICS, ARTIFICIAL INTELLIGENCE AND ROBOTICS
Includes feedback and control theory, information theory, machine learning, and expert systems. For related information see also 54
Man/System Technology and Life Support.
20030032355 NASA Ames Research Center, Moffett Field, CA, USA
Lessons Learned From Developing A Streaming Data Framework for Scientific Analysis
Wheeler. Kevin R.; Allan, Mark; Curry, Charles; [2003]; 10 pp.; In English; SIAM International Conference on Datamining,
1-3 May 2002, San Fransisco, CA, USA; Original contains black and white illustrations; Copyright; Avail: CASI; A02,
Hardcopy
We describe the development and usage of a streaming data analysis software framework. The framework is used for three
different applications: Earth science hyper-spectral imaging analysis, Electromyograph pattern detection, and
Electroencephalogram state determination. In each application the framework was used to answer a series of science questions
which evolved with each subsequent answer. This evolution is summarized in the form of lessons learned.
Author
Machine Learning; Artificial Intelligence; Human-Computer Interface; Applications Programs (Computers); Computer
Programming; Data Mining; Trend Analysis; Systems Analysis
20030032442 NASA Glenn Research Center, Cleveland, OH, USA
Robots and Humans: Synergy in Planetary Exploration
Landis, Geoffrey A.; January 2003; 8 pp.; In English; Conference on Human Space Exploration, Space Technology and
Applications International Forum, 2-6 Feb. 2003, Albuquerque, NM, USA; Original contains black and white illustrations; No
Copyright; Avail: CASI; A02, Hardcopy
How will humans and robots cooperate in future planetary exploration? Are humans and robots fundamentally separate
modes of exploration, or can humans and robots work together to synergistically explore the solar system? It is proposed that
humans and robots can work together in exploring the planets by use of telerobotic operation to expand the function and
usefulness of human explorers, and to extend the range of human exploration to hostile environments.
Author
Space Exploration; Robots; Man Machine Systems
20030033018 Rowan Univ., Glassboro, NJ, USA
Learn++: An Incremental Learning Algorithm Based on Psycho-Physiological Models of Learning
Polikar, R.; October 25, 2001; 5 pp.; In English; Original contains color illustrations
Report No.(s): AD-A410628; No Copyright; Avail: CASI; A01, Hardcopy
An incremental learning algorithm, Learn++, which allows supervised classification algorithms to learn from new data
without forgetting previously acquired knowledge, is introduced. Learn++ is based on generating multiple classifiers using
strategically chosen distributions of the training data and combining these classifiers through weighted majority voting.
Learn++ shares various notions with psycho-physiological models of learning. The Learn++ algorithm, simulation results, and
how the algorithm is related to various concepts in psycho-physiological learning models are discussed.
DTIC
Algorithms; Classifications
20030033038 Virginia Commonwealth Univ., Richmond, VA
Neural Network for Visual Search Classification
Raju, H.; Hobson, R. S.; Wetzel, P. A.; Oct 2001; 4 pp.; In English
Report No.(s): AD-A410536; No Copyright; Avail: CASI; A01, Hardcopy
Visual search describes the process of how the eyes move in a visual field in order to acquire a target. Visual search needs
to be quantified to improve future search strategies. This paper describes a hybrid neural network used to perform visual search
169