Real-Time Over-the-Horizon Hi-Speed Data Using TDRSS During High Altitude Long Duration Scientific Balloon Missions

Author(s):  
Bryan Stilwell
2009 ◽  
Author(s):  
Dennis H. Bunfield ◽  
Darian E. Trimble ◽  
Gary H. Ballard

1991 ◽  
Vol 1 (1) ◽  
pp. 1-19 ◽  
Author(s):  
William J. Ashby

AbstractIt is argued that two variables of Modern French (the negative particle ne and the consonant l of clitic pronouns such as il) are indeed indices of ongoing linguistic change, even though this change appears to be of long duration. This conclusion is based not only on the distribution of the variables in a corpus of natural French discourse, but also on independent linguistic evidence, together with the available historical record. In the absence of adequate ‘real-time’ data, variationist analysis yielding synchronic, “apparent-time” data provides a useful means of charting the drift of the language.


Author(s):  
T. Inoue ◽  
T. Ura ◽  
H. Sugimatsu ◽  
T. Sakamaki ◽  
J. Kojima ◽  
...  

2014 ◽  
Vol 03 (02) ◽  
pp. 1403001 ◽  
Author(s):  
J. A. Gaskin ◽  
I. S. Smith ◽  
W. V. Jones

In 1783, the Montgolfier brothers ushered in a new era of transportation and exploration when they used hot air to drive an un-tethered balloon to an altitude of ~2 km. Made of sackcloth and held together with cords, this balloon challenged the way we thought about human travel, and it has since evolved into a robust platform for performing novel science and testing new technologies. Today, high-altitude balloons regularly reach altitudes of 40 km, and they can support payloads that weigh more than 3000 kg. Long-duration balloons can currently support mission durations lasting ~55 days, and developing balloon technologies (i.e. Super-Pressure Balloons) are expected to extend that duration to 100 days or longer; competing with satellite payloads. This relatively inexpensive platform supports a broad range of science payloads, spanning multiple disciplines (astrophysics, heliophysics, planetary and earth science). Applications extending beyond traditional science include testing new technologies for eventual space-based application and stratospheric airships for planetary applications.


2021 ◽  
Author(s):  
Kieran Kneisel

The ability to localize an unmanned vehicle is an essential requirement for extraterrestrial robotic exploration missions. The goal of this thesis is to develop a visual odometry algorithm capable of operating in real-time and in natural unstructured environments. Accuracy, repeatability and computational cost were the primary considerations during the development of the algorithm. The resulting visual odometry algorithm can operate in real-time and provides the foundations for further development. More commonly used approaches for localization include the use of inertial measurement units (IMU) or wheel odometry, which are prone to drift and slippage respectively, making them unreliable for long duration missions. Visual odometry also experiences error accumulation, however, it offers the possibility of mitigating this problem through techniques such as loop closing and bundle adjustment. The performance of the Iterative Closest Point (ICP) algorithm in conjunction within the visual odometer was also evaluated and shown to have improved overall localization performance.


2021 ◽  
Author(s):  
Kieran Kneisel

The ability to localize an unmanned vehicle is an essential requirement for extraterrestrial robotic exploration missions. The goal of this thesis is to develop a visual odometry algorithm capable of operating in real-time and in natural unstructured environments. Accuracy, repeatability and computational cost were the primary considerations during the development of the algorithm. The resulting visual odometry algorithm can operate in real-time and provides the foundations for further development. More commonly used approaches for localization include the use of inertial measurement units (IMU) or wheel odometry, which are prone to drift and slippage respectively, making them unreliable for long duration missions. Visual odometry also experiences error accumulation, however, it offers the possibility of mitigating this problem through techniques such as loop closing and bundle adjustment. The performance of the Iterative Closest Point (ICP) algorithm in conjunction within the visual odometer was also evaluated and shown to have improved overall localization performance.


2021 ◽  
Author(s):  
Christopher R. Hayner ◽  
Echo Liu ◽  
Neil Gupta ◽  
Timothy Zhou ◽  
Parker Mayhew ◽  
...  

2018 ◽  
Vol 7 (3.34) ◽  
pp. 466
Author(s):  
Samaleswari Prasad Nayak ◽  
Satyananda Champati Rai ◽  
Sateesh Kumar Pradhan

Immediate service provisioning with real-time attention to a critical patient at remote locations is a challenging task for health care unit personnel. Several incidents remain unattended for long duration due to tracking difficulties to the exact place of event. During accidents, natural calamities, any kind of disaster, providing the basic services to the affected people is a great challenge to the persons present nearby the location. This requires a real-time event status report collection, monitoring condition, arrange and provision system in place. Similarly during critical situation of a patient in hospital if the user requires blood platelet and plasma from a different centre to current place, which may not possible due to heavy traffic in the locality. In this regard we propose a quadcopter based mobile sink to navigate to the place, track, monitor and inform to the remote server which can also be treated as an intra-city delivery model. A gamepad is used to control the quadcopter from the nearby place, its movement mechanism is controlled by the integration of different sensors and other components. Several applications have been used in our model to control the position of quadcopter, capture images through sensors and forward the information to the destination to achieve the objective of real time data acquisition and assistance at the unreachable place of the event, with minimal delay. 


Galaxies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 117 ◽  
Author(s):  
David Thompson

Since 2008, the Large Area Telescope and the Gamma-ray Burst Monitor on the Fermi Gamma-ray Space Telescope have been monitoring the entire sky at energies from about 8 keV to more than 1 TeV. Photon-level data and high-level data products are made publicly available in near-real time, and efforts continue to improve the response time. This long-duration, all-sky monitoring has enabled a broad range of science, from atmospheric phenomena on Earth to signals from high-redshift sources. The Fermi instrument teams have worked closely with multiwavelength and multi-messenger observers and theorists to maximize the scientific return from the observatory, and they look forward to continued cooperative efforts as Fermi moves into its second decade of operation.


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