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 Benjamin J Bornstein

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Average citations per article3.30
Citation Count33
Publication count10
Publication years2006-2016
Available for download3
Average downloads per article183.33
Downloads (cumulative)550
Downloads (12 Months)75
Downloads (6 Weeks)9
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10 results found Export Results: bibtexendnoteacmrefcsv

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1
March 2016 Journal of Field Robotics: Volume 33 Issue 2, March 2016
Publisher: John Wiley and Sons Ltd.
Bibliometrics:
Citation Count: 0

Automatic cloud recognition promises significant improvements in Earth science remote sensing. At any time, more than half of Earth's surface is covered by clouds, obscuring images and atmospheric measurements. This is particularly problematic for CubeSats, a new generation of small, low-orbiting spacecraft with very limited communications bandwidth. Such spacecraft can ...

2 published by ACM
June 2015 AI Matters: Volume 1 Issue 4, June 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 42,   Downloads (Overall): 166

Full text available: PDFPDF

3 published by ACM
May 2012 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 3, May 2012
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Downloads (Overall): 234

Full text available: PDFPDF
The Autonomous Exploration for Gathering Increased Science (AEGIS) system enables automated data collection by planetary rovers. AEGIS software was uploaded to the Mars Exploration Rover (MER) mission’s Opportunity rover in December 2009 and has successfully demonstrated automated onboard targeting based on scientist-specified objectives. Prior to AEGIS, images were transmitted from ...
Keywords: autonomous science, Data analysis, spacecraft autonomy

4
March 2011 AERO '11: Proceedings of the 2011 IEEE Aerospace Conference
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Multicore processing promises to be a critical component of future spacecraft. It provides immense increases in onboard processing power and provides an environment for directly supporting fault-tolerant computing. This paper discusses using a state-of-the-art multicore processor to efficiently perform image analysis onboard a Mars rover in support of autonomous science ...

5
July 2009 SMC-IT '09: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Spacecraft processors and memory are subjected to high radiation doses and therefore employ radiation-hardened components. However, these components are orders of magnitude more expensive than typical desktop components, and they lag years behind in terms of speed and size. We have integrated algorithm-based fault tolerance (ABFT) methods into onboard data ...
Keywords: onboard data analysis, radiation protection, algorithm-based fault tolerance, support vector machines

6
July 2009 SMC-IT '09: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

The Autonomous Exploration for Gathering Increased Science System (AEGIS) will soon provide automated targeting for remote sensing instruments on the Mars Exploration Rover (MER) mission, which currently has two rovers exploring the surface of Mars. Targets for rover remote-sensing instruments, especially narrow field-of-view instruments (such as the MER Mini-TES spectrometer ...
Keywords: rover autonomy, onboard science

7 published by ACM
June 2009 ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 9,   Downloads (Overall): 151

Full text available: PDFPDF
Spacecraft increasingly employ onboard data analysis to inform further data collection and prioritization decisions. However, many spacecraft operate in high-radiation environments in which the reliability of dataintensive computation is not known. This paper presents the first study of radiation sensitivity for k-means clustering. Our key findings are 1) k-means data ...

8
March 2008 Bioinformatics: Volume 24 Issue 6, March 2008
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 15

Summary: LibSBML is an application programming interface library for reading, writing, manipulating and validating content expressed in the Systems Biology Markup Language (SBML) format. It is written in ISO C and C++, provides language bindings for Common Lisp, Java, Python, Perl, MATLAB and Octave, and includes many features that facilitate ...

9
May 2007 Journal of Field Robotics - Special Issue on Space Robotics, Part III: Volume 24 Issue 5, May 2007
Publisher: John Wiley and Sons Ltd.
Bibliometrics:
Citation Count: 11

The Onboard Autonomous Science Investigation System has been developed to enable a rover to identify and react to serendipitous science opportunities. Using the FIDO rover in the Mars Yard at JPL, we have successfully demonstrated a fully autonomous opportunistic science system. The closed loop system tests included the rover acquiring ...

10
May 2006 Bioinformatics: Volume 22 Issue 10, May 2006
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 2

Summary: We present SBMLToolbox, a toolbox that facilitates importing and exporting models represented in the Systems Biology Markup Language (SBML) in and out of the MATLAB environment and provides functionality that enables an experienced user of either SBML or MATLAB to combine the computing power of MATLAB with the portability ...



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