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    Using Telemetry Science, An Adaptation of Prognostic Algorithms for Predicting Normal Space Vehicle Telemetry Behavior from Space for Earth and Lunar Satellites and Interplanetary Spacecraft

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    ITC_2009_09-24-01.pdf
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    Author
    Losik, Len
    Affiliation
    Failure Analysis
    Issue Date
    2009-10
    Keywords
    Telemetry
    test data
    prognostic
    diagnostic
    failure analysis
    data analysis
    Fourier analysis
    spectral analysis
    spectrum analysis
    communications science
    telemetry science
    signals
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    Rights
    Copyright © held by the author; distribution rights International Foundation for Telemetering
    Collection Information
    Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
    Publisher
    International Foundation for Telemetering
    Journal
    International Telemetering Conference Proceedings
    Abstract
    Prognostic technology uses a series of algorithms, combined forms a prognostic-based inference engine (PBIE) for the identification of deterministic behavior embedded in completely normal appearing telemetry from fully functional equipment. The algorithms used to define normal behavior in the PBIE from which deterministic behavior is identified can be adapted to quantify normal spacecraft telemetry behavior while in orbit about a moon or planet or during interplanetary travel. Time-series analog engineering data (telemetry) from orbiting satellites and interplanetary spacecraft are defined by harmonic and non-harmonic influences which shape it behavior. Spectrum analysis can be used to understand and quantify the fundamental behavior of spacecraft analog telemetry and relate the behavior's frequency and phase to its time-series behavior through Fourier analysis.
    Sponsors
    International Foundation for Telemetering
    ISSN
    0884-5123
    0074-9079
    Additional Links
    http://www.telemetry.org/
    Collections
    International Telemetering Conference Proceedings, Volume 45 (2009)

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      Mission Analysis and Reporting System (MARS) - EW Analysis and Reporting On A Personal Computer

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      Participant Roles in Aggression: Analysis of the Overt and Relational Aggression Participant Role Scales with Confirmatory Factor Analysis

      Card, Noel A.; Casper, Deborah M.; Card, Noel A.; Stephen, Russell T.; Bauman, Sheri A. (The University of Arizona., 2013)
      The peer group is a dynamic context within which children and adolescents have a wide range of experiences, both positive and negative. Friendships provide support and a sense of belonging; however, friendships can also be contexts within which competition and aggression occur. During childhood and adolescence, aggression and victimization are likely to occur in the school context and in situations where several members of the peer group are present and sometimes actively (or passively) participating. In the seminal work related to bullying as a group process, Salmivalli and colleagues identified distinct roles that children take when enacting aggression (Salmivalli et al., 1996). Salmivalli's work, in the area of participant roles, however, has focused on overt bullying, a specific subtype of aggression which has a specific meaning within the peer relations literature. To date, the participant roles have not been measured within the context of overt and relational aggression. The purpose of the present study is to examine the psychometric properties of the Overt Aggression Participant Role Scale (OAPRS) and the Relational Aggression Participant Role Scale (RAPRS), two new scales designed by the author, to measure the aggressor, assistant, reinforcer, defender, outsider, and victim roles during acts aggression, as opposed to bullying. Additional goals include: 1) exploring the associations among the roles, 2) examining measurement equivalence across gender and grade level, and 3) exploring associations of the participant roles with measures of sociometric status and depressive symptoms. Findings point toward the psychometric properties of the two scales being quite robust. The data fit the 12 factor model and the scales measure the constructs equivalently across gender and three grade groups. The aggressor, assistant, and reinforcer roles were strongly associated as were the aggressor and victim roles. Several relational roles were highly overlapping, suggesting reciprocity of roles. Few meaningful gender or grade level differences were found resulting in more similarity in the overt and relational roles than differences. The outsider role was the only role not associated with depressive symptoms. Implications for prevention and intervention are discussed.
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