Results 101 to 110 of about 63,006 (288)

Motion and Inertia Estimation for Non-Cooperative Space Objects During Long-Term Occlusion Based on UKF-GP

open access: yesSensors
This study addresses the motion and inertia parameter estimation problem of a torque-free, tumbling, non-cooperative space object (target) under long-term occlusions. To solve this problem, we employ a data-driven Gaussian process (GP) to simulate sensor
Rabiul Hasan Kabir, Xiaoli Bai
doaj   +1 more source

Optical Theory Improvements to Space Domain Awareness

open access: yes, 2016
This dissertation focuses on increasing the ability to detect space objects and increase Space Domain Awareness (SDA) with space surveillance sensors through image processing and optical theory.
Hardy, Tyler J.
core  

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images

open access: yesIET Radar, Sonar & Navigation
Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of bus and ...
Friso G. Heslinga   +4 more
doaj   +1 more source

Comisión de actuaciones militares para garantizar el Space Domain Awareness en el espacio ultraterrestre: nuevo peligro asociado en el marco del derecho internacional humanitario

open access: yesAnuario Iberoamericano de Derecho Internacional Penal
 El espacio ultraterrestre actualmente es un entorno al cual se le ha brindado más importancia en las operaciones militares, aumentando de esa manera los riesgos de seguridad y hostilidades que podrían llegar a afectar o traer consecuencias a personas ...
Laura Ximena Hernández Velandia
doaj   +1 more source

Orbital Space Environment and Space Situational Awareness Domain Ontology [PDF]

open access: yes, 2016
A short summary paper of my Orbital Space Domain Ontology project (purl.org/space-ontology), originally conceived in 2011. Since then I've sought (without success) opportunities to realize it (either as a PhD or other degree thesis; or in an employment ...
Rovetto, Robert J.
core  

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Feature Detection of Non-Cooperative and Rotating Space Objects through Bayesian Optimization

open access: yesSensors
In this paper, we propose a Bayesian Optimization (BO)-based strategy using the Gaussian Process (GP) for feature detection of a known but non-cooperative space object by a chaser with a monocular camera and a single-beam LIDAR in a close-proximity ...
Rabiul Hasan Kabir, Xiaoli Bai
doaj   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

open access: yesAdvanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova   +2 more
wiley   +1 more source

Proto-DISFNet: A Prototype-Guided Dual-Feature Transfer Learning Method for Cross-Condition Fault Diagnosis of Cotton Harvester Picking-Head Drivetrains

open access: yesAgriculture
Cross-condition fault diagnosis of cotton harvester picking-head drivetrains remains challenging due to significant distribution discrepancies in vibration signals under different operating conditions.
Huachao Jiao   +3 more
doaj   +1 more source

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