1,270 research outputs found

    An improved method for testing performance of vidicons during vibration

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    Vidicon electron beam modulation is used for checking the performance of vidicons in mechanical vibration tests. The vidicon electron beam is modulated with an external signal during the write period thereby storing the image on the vidicon face

    Orbit IMU alinement interpretation of onboard display data

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    The space shuttle inertial measurement unit (IMU) alinement algorith was examined to determine the most important alinement starpair selection criterion. Three crew displayed parameters were considered: (1) the results of the separation angle difference (SAD) check for each starpair; (2) the separation angle of each starpair; and (3) the age of each star measurement. It was determined that the SAD for each pair cannot be used to predict the IMu alinement accuracy. If the age of each star measurement is less than approximately 30 minutes, time is a relatively unimportant factor and the most important alinement pair selection criterion is the starpair separation angle. Therefore, when there are three available alinement starpairs and all measurements were taken within the last 30 minutes, the pair with the separation angle closest to 90 degrees should be selected for IMU alinement

    Onorbit IMU alignment error budget

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    The Star Tracker, Crew Optical Alignment Sight (COAS), and Inertial Measurement Unit (IMU) from a complex navigation system with a multitude of error sources were combined. A complete list of the system errors is presented. The errors were combined in a rational way to yield an estimate of the IMU alignment accuracy for STS-1. The expected standard deviation in the IMU alignment error for STS-1 type alignments was determined to be 72 arc seconds per axis for star tracker alignments and 188 arc seconds per axis for COAS alignments. These estimates are based on current knowledge of the star tracker, COAS, IMU, and navigation base error specifications, and were partially verified by preliminary Monte Carlo analysis

    The Impact of Perceived Mental Illness Stigma on Caregivers’ Desire to Relinquish Care

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    Caregiving can be stressful, and older adults’ health and well-being may be impacted by the roles and responsibilities they assume as caregivers for persons with serious mental illness (SMI). This study is the first to apply the Stress Process Model of Caregiving (SPM) in an attempt to understand how mental illness stigma influences caregiver outcomes, specifically their desire to relinquish care. The intent of this study was to call attention to care relinquishment as an under-studied stress process outcome and to explore stress factors, with a focus on mental illness stigma, that contribute to SMI caregivers’ desire to relinquish care. Using convenience sampling, members of the National Alliance on Mental Illness in the eastern U.S. were invited to participate in an online survey, resulting in a sample of n = 285. Regression analysis findings suggest that caregivers’ partnership status, exposure to problematic behaviors, and perceptions of courtesy stigma predicted desire to relinquish care. Neither age nor caregiver sense of mastery moderated the relationship between perceived courtesy stigma and relinquishment desire. Perceptions of stigma were negatively associated with caregiver health, sense of mastery, and social support levels, indicating stigma’s role in the erosion of caregiver resources. This study provides information that can inform the development of educational and supportive services that may help caregivers better cope with the stressors associated with SMI caregiving. With caregiving stressors diminished, older caregivers will be able to better apply their resources toward self-care and maintaining their quality of life

    Orbit IMU alignment: Error analysis

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    A comprehensive accuracy analysis of orbit inertial measurement unit (IMU) alignments using the shuttle star trackers was completed and the results are presented. Monte Carlo techniques were used in a computer simulation of the IMU alignment hardware and software systems to: (1) determine the expected Space Transportation System 1 Flight (STS-1) manual mode IMU alignment accuracy; (2) investigate the accuracy of alignments in later shuttle flights when the automatic mode of star acquisition may be used; and (3) verify that an analytical model previously used for estimating the alignment error is a valid model. The analysis results do not differ significantly from expectations. The standard deviation in the IMU alignment error for STS-1 alignments was determined to the 68 arc seconds per axis. This corresponds to a 99.7% probability that the magnitude of the total alignment error is less than 258 arc seconds
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