35,874 research outputs found
Sequential Empirical Bayes method for filtering dynamic spatiotemporal processes
We consider online prediction of a latent dynamic spatiotemporal process and
estimation of the associated model parameters based on noisy data. The problem
is motivated by the analysis of spatial data arriving in real-time and the
current parameter estimates and predictions are updated using the new data at a
fixed computational cost. Estimation and prediction is performed within an
empirical Bayes framework with the aid of Markov chain Monte Carlo samples.
Samples for the latent spatial field are generated using a sampling importance
resampling algorithm with a skewed-normal proposal and for the temporal
parameters using Gibbs sampling with their full conditionals written in terms
of sufficient quantities which are updated online. The spatial range parameter
is estimated by a novel online implementation of an empirical Bayes method,
called herein sequential empirical Bayes method. A simulation study shows that
our method gives similar results as an offline Bayesian method. We also find
that the skewed-normal proposal improves over the traditional Gaussian
proposal. The application of our method is demonstrated for online monitoring
of radiation after the Fukushima nuclear accident
Feasibility of remote sensing for detecting thermal pollution. Part 1: Feasibility study. Part 2: Implementation plan
A feasibility study for the development of a three-dimensional generalized, predictive, analytical model involving remote sensing, in-situ measurements, and an active system to remotely measure turbidity is presented. An implementation plan for the development of the three-dimensional model and for the application of remote sensing of temperature and turbidity measurements is outlined
Technology for large space systems: A special bibliography with indexes (supplement 04)
This bibliography lists 259 reports, articles, and other documents introduced into the NASA scientific and technical information system between July 1, 1980 and December 31, 1980. Its purpose is to provide information to the researcher, manager, and designer in technology development and mission design in the area of the Large Space Systems Technology Program. Subject matter is grouped according to systems, interactive analysis and design. Structural concepts, control systems, electronics, advanced materials, assembly concepts, propulsion, solar power satellite systems, and flight experiments
Technology for the Future: In-Space Technology Experiments Program, part 2
The purpose of the Office of Aeronautics and Space Technology (OAST) In-Space Technology Experiments Program In-STEP 1988 Workshop was to identify and prioritize technologies that are critical for future national space programs and require validation in the space environment, and review current NASA (In-Reach) and industry/ university (Out-Reach) experiments. A prioritized list of the critical technology needs was developed for the following eight disciplines: structures; environmental effects; power systems and thermal management; fluid management and propulsion systems; automation and robotics; sensors and information systems; in-space systems; and humans in space. This is part two of two parts and contains the critical technology presentations for the eight theme elements and a summary listing of critical space technology needs for each theme
Technology for large space systems: A special bibliography with indexes (supplement 03)
A bibliography containing 217 abstracts addressing the technology for large space systems is presented. State of the art and advanced concepts concerning interactive analysis and design, structural concepts, control systems, electronics, advanced materials, assembly concepts, propulsion, solar power satellite systems, and flight experiments are represented
Limitations in Predicting the Space Radiation Health Risk for Exploration Astronauts
Despite years of research, understanding of the space radiation environment
and the risk it poses to long-duration astronauts remains limited. There is a
disparity between research results and observed empirical effects seen in human
astronaut crews, likely due to the numerous factors that limit terrestrial
simulation of the complex space environment and extrapolation of human clinical
consequences from varied animal models. Given the intended future of human
spaceflight, with efforts now to rapidly expand capabilities for human missions
to the moon and Mars, there is a pressing need to improve upon the
understanding of the space radiation risk, predict likely clinical outcomes of
interplanetary radiation exposure, and develop appropriate and effective
mitigation strategies for future missions. To achieve this goal, the space
radiation and aerospace community must recognize the historical limitations of
radiation research and how such limitations could be addressed in future
research endeavors. We have sought to highlight the numerous factors that limit
understanding of the risk of space radiation for human crews and to identify
ways in which these limitations could be addressed for improved understanding
and appropriate risk posture regarding future human spaceflight.Comment: Accepted for publication by Nature Microgravity (2018
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