The attitude accuracy of a star sensor decreases rapidly when star images become motion-blurred under dynamic conditions. Existing techniques concentrate on a single frame of star images to solve this problem and improvements are obtained to a certain extent. An attitude-correlated frames (ACF) approach, which concentrates on the features of the attitude transforms of the adjacent star image frames, is proposed to improve upon the existing techniques. The attitude transforms between different star image frames are measured by the strap-down gyro unit precisely. With the ACF method, a much larger star image frame is obtained through the combination of adjacent frames. As a result, the degradation of attitude accuracy caused by motion-blurring are compensated for. The improvement of the attitude accuracy is approximately proportional to the square root of the number of correlated star image frames. Simulations and experimental results indicate that the ACF approach is effective in removing random noises and improving the attitude determination accuracy of the star sensor under highly dynamic conditions.
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http://dx.doi.org/10.1364/AO.54.007559 | DOI Listing |
Hum Vaccin Immunother
December 2025
Canadian Center for Vaccinology & IWK Health Center, Halifax, NS, Canada.
We aimed to understand how experiences with vaccine-related information and communication challenges during the COVID-19 pandemic impacted motivations and behaviors among Canadian adults regarding future vaccines. Semi-structured interviews were conducted with participants purposively selected to ensure diversity in age, sex at birth, self-identified gender, and region. Data were analyzed using thematic analysis; findings were mapped to the Information-Motivation-Behavioral Skills Model focusing on factors affecting vaccine hesitancy and uptake.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos. However, multi-person pose estimation yields false detection or missed detection in dense crowds, and it is still difficult to detect small targets. In this paper, we propose a Mamba-based human pose estimation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Huanjiang Laboratory, School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Low-performing GPS receivers, often used in challenging scenarios such as attitude maneuver and attitude rotation, are frequently encountered for micro-nano satellites. To address these challenges, this paper proposes a modified robust adaptive hierarchical filtering algorithm (named IARKF). This algorithm leverages robust adaptive filtering to dynamically adjust the distribution of innovation vectors and employs a fading memory weighted method to estimate measurement noise in real time, thereby enhancing the filter's adaptability to dynamic environments.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Oracle, The Edge Building, Al Falak Street, Dubai Internet City, Dubai, United Arab Emirates, 971 558620820.
Background: Primary health care (PHC) services face operational challenges due to high patient volumes, leading to complex management needs. Patients access services through booked appointments and walk-in visits, with walk-in visits often facing longer waiting times. No-show appointments are significant contributors to inefficiency in PHC operations, which can lead to an estimated 3%-14% revenue loss, disrupt resource allocation, and negatively impact health care quality.
View Article and Find Full Text PDFEat Disord
January 2025
Department of Quality Improvement and Leadership, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Purpose: The aim of this study was to map which instruments are currently being used to measure disordered eating in adolescent boys as part of a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis.
Method: Utilizing the PRISMA review protocol, 174 journal articles were reviewed.
Results: Sixty-seven articles used versions of the Eating Attitudes Test to measure adolescent boys' disordered eating, 32 used versions of the Eating Disorder Examination-Questionnaire, 30 used versions of the Eating Disorder Inventory, 25 used SCOFF, and 10 used the Drive for Muscularity Scale.
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