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  • Author > Chien, S. [x]

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    There are a total of 86 record(s) matching your query.
    Sorted by: Date Added To NTRS in Descending order

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    Iterative Repair Planning for Spacecraft Operations Using the Aspen System

    Author(s): Rabideau, G.; Knight, R.; Chien, S.; Fukunaga, A.; Govindjee, A.
    Abstract: This paper describes the Automated Scheduling and Planning Environment (ASPEN). ASPEN encodes complex spacecraft knowledge of operability constraints, flight rules, spacecraft hardware, science experiments and operations ...
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 2000
    Added to NTRS: 2008-06-02
    Document ID: 20000052465

    Sequence-of-events-driven automation of the deep space network

    Author(s): Hill, R., Jr.; Fayyad, K.; Smyth, C.; Santos, T.; Chen, R.; Chien, S.; Bevan, R.
    Abstract: In February 1995, sequence-of-events (SOE)-driven automation technology was demonstrated for a Voyager telemetry downlink track at DSS 13. This demonstration entailed automated generation of an operations procedure (in the ...
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1996
    Added to NTRS: 2008-06-02
    Accession Number: 96N25261; Document ID: 19960022228

    Using Artificial Intelligence Planning to Automate Science Image Data Analysis

    Author(s): Fisher, F.; Chien, S.; Lo, E.; Mortensen, H.; Greeley, R.
    Abstract: In recent times, improvements in imaging technology have made available an incredible array of information in image format.
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1999
    Added to NTRS: 2006-12-25
    Document ID: 20060040605

    Integrating Model-based Artificial Intelligence Planning with Procedural Elaboration for Onboard Spacecraft Autonomy

    Author(s): Knight, R.; Chien, S.; Knight, R.; Gat, E.; Starbird, T.; Gostelow, K.; Keller, B.; Smith, W.
    Abstract: This paper describes the integration of a model-based planner into a procedural architecture.
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 2000
    Added to NTRS: 2006-12-25
    Document ID: 20060032755

    An Automated Rover Command Generation Prototype for the Mars 2003 Marie Curie Rover

    Author(s): Sherwood, R.; Estlin, T.; Chien, S.; Rabideau, G.; Engelhardt, B.; Mishkin, A.
    Abstract: This paper discusses a proof-of-concept prototype for ground-based automatic generation of validated rover command sequences from high-level science and engineering activities.
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 2000
    Added to NTRS: 2006-12-25
    Document ID: 20060032782

    Using Artificial Intelligence Planning to Automate SAR Image Processing for Scientific Data Analysis

    Author(s): Fisher, F.; Chien, S.; Lo, E.; Greeley, R.
    Abstract: In recent times, improvements in imaging technology have made available an incredible array of information in image format.
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1998
    Added to NTRS: 2006-12-25
    Document ID: 20060041650

    Goal-driven Automation of a Deep Space Communications Station: A Case Study in Knowledge Engineering for Plan Generation and Execution

    Author(s): Hill, R. W., Jr.; Chien, S. A.; Fayyad, K. V.; Chien, S.
    Abstract: This paper describes the application of Artificial Intelligence techniques for plan generation, plan execution, and plan monitoring to automate a Deep Space Communication Station. This automation allows a Communication ...
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1997
    Added to NTRS: 2006-12-25
    Document ID: 20060041725

    Feature extraction and classification for EO-1 hyperspectral imagery

    Author(s): Castano, B.; Chien, S.; Cichy, B.; Prentice, S.; Tang, N.
    Abstract: No Abstract Available
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 2003
    Added to NTRS: 2006-12-25
    Document ID: 20060029317

    Replanning Using Hierarchical Task Network and Operator-Based Planning

    Author(s): Wang, X.; Chien, S.
    Abstract: In order to scale-up to real-world problems, planning systems must be able to replan in order to deal with changes in problem context. In this paper we describe hierarchical task network and operatorbased re-planning ...
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1997
    Added to NTRS: 2006-12-25
    Document ID: 20060035483

    A Statistical Approach to Adaptive Problem-Solving for Large-Scale Scheduling and Resource Allocation Problems

    Author(s): Chien, S.; Gratch, J.; Burl, M.
    Abstract: Our work focuses upon development of techniques for choosing among a set of alternatives in the presence of incomplete information and varying costs of acquiring information.
    NASA Center: Jet Propulsion Laboratory
    Publication Year: 1994
    Added to NTRS: 2006-12-25
    Document ID: 20060037801

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