Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions. - Info and Reading Options
By Qualls, Joseph and Russomanno, David J.
"Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions." and the language of the book is English.
“Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions.” Metadata:
- Title: ➤ Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions.
- Authors: Qualls, JosephRussomanno, David J.
- Language: English
Edition Identifiers:
- Internet Archive ID: pubmed-PMC3231511
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"Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions." Description:
The Internet Archive:
This article is from <a href="//archive.org/search.php?query=journaltitle%3A%28Sensors%20(Basel,%20Switzerland)%29" rel="ugc nofollow">Sensors (Basel, Switzerland)</a>, <a href="//archive.org/search.php?query=journaltitle%3A%28Sensors%20(Basel,%20Switzerland)%29%20AND%20volume%3A%2811%29" rel="ugc nofollow">volume 11</a>.<h2>Abstract</h2>The lack of knowledge models to represent sensor systems, algorithms, and missions makes opportunistically discovering a synthesis of systems and algorithms that can satisfy high-level mission specifications impractical. A novel ontological problem-solving framework has been designed that leverages knowledge models describing sensors, algorithms, and high-level missions to facilitate automated inference of assigning systems to subtasks that may satisfy a given mission specification. To demonstrate the efficacy of the ontological problem-solving architecture, a family of persistence surveillance sensor systems and algorithms has been instantiated in a prototype environment to demonstrate the assignment of systems to subtasks of high-level missions.
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"Ontological Problem-Solving Framework For Assigning Sensor Systems And Algorithms To High-Level Missions." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 41.66 Mbs, and the file-s went public at Mon Oct 27 2014.
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