Conference Paper/Proceeding/Abstract 869 views
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis
2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Pages: 390 - 396
Swansea University Author: Xiuyi Fan
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DOI (Published version): 10.1109/mfi.2017.8170352
Abstract
Geospatial Intelligence analysis involves the combination of multi-source information expressed in logical form, computational form, and sensor data. Each of these forms has its own way to describe uncertainty or error: e.g., frequency models, algorithmic truncation, floating point roundoff, Gaussia...
Published in: | 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) |
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ISBN: | 978-1-5090-6065-8 9781509060641 |
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Daegu, South Korea
IEEE
2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa39371 |
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<?xml version="1.0"?><rfc1807><datestamp>2018-04-23T14:26:56.3804702</datestamp><bib-version>v2</bib-version><id>39371</id><entry>2018-04-11</entry><title>BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis</title><swanseaauthors><author><sid>a88a07c43b3e80f27cb96897d1bc2534</sid><firstname>Xiuyi</firstname><surname>Fan</surname><name>Xiuyi Fan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-04-11</date><abstract>Geospatial Intelligence analysis involves the combination of multi-source information expressed in logical form, computational form, and sensor data. Each of these forms has its own way to describe uncertainty or error: e.g., frequency models, algorithmic truncation, floating point roundoff, Gaussian distributions, etc. We propose BRECCIA, a Geospatial Intelligence analysis system, which receives information from humans (as logical sentences), simulations (e.g., weather or environmental predictions), and sensors (e.g. cameras, weather stations, microphones, etc.), where each piece of information has an associated uncertainty; BRECCIA then provides responses to user queries based on a new probabilistic logic system which determines a coherent overall response to the query and the probability of that response; this new method avoids the exponential complexity of previous approaches. In addition, BRECCIA attempts to identify concrete mechanisms (proposed actions) to acquire new data dynamically in order to reduce the uncertainty of the query response. The basis for this is a novel approach to probabilistic argumentation analysis.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)</journal><paginationStart>390</paginationStart><paginationEnd>396</paginationEnd><publisher>IEEE</publisher><placeOfPublication>Daegu, South Korea</placeOfPublication><isbnPrint>978-1-5090-6065-8</isbnPrint><isbnElectronic>9781509060641</isbnElectronic><keywords/><publishedDay>11</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-12-11</publishedDate><doi>10.1109/mfi.2017.8170352</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-04-23T14:26:56.3804702</lastEdited><Created>2018-04-11T18:37:59.9831577</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>D.</firstname><surname>Sacharny</surname><order>1</order></author><author><firstname>T. C.</firstname><surname>Henderson</surname><order>2</order></author><author><firstname>R.</firstname><surname>Simmons</surname><order>3</order></author><author><firstname>A.</firstname><surname>Mitiche</surname><order>4</order></author><author><firstname>T.</firstname><surname>Welker</surname><order>5</order></author><author><firstname>Xiuyi</firstname><surname>Fan</surname><order>6</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2018-04-23T14:26:56.3804702 v2 39371 2018-04-11 BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis a88a07c43b3e80f27cb96897d1bc2534 Xiuyi Fan Xiuyi Fan true false 2018-04-11 Geospatial Intelligence analysis involves the combination of multi-source information expressed in logical form, computational form, and sensor data. Each of these forms has its own way to describe uncertainty or error: e.g., frequency models, algorithmic truncation, floating point roundoff, Gaussian distributions, etc. We propose BRECCIA, a Geospatial Intelligence analysis system, which receives information from humans (as logical sentences), simulations (e.g., weather or environmental predictions), and sensors (e.g. cameras, weather stations, microphones, etc.), where each piece of information has an associated uncertainty; BRECCIA then provides responses to user queries based on a new probabilistic logic system which determines a coherent overall response to the query and the probability of that response; this new method avoids the exponential complexity of previous approaches. In addition, BRECCIA attempts to identify concrete mechanisms (proposed actions) to acquire new data dynamically in order to reduce the uncertainty of the query response. The basis for this is a novel approach to probabilistic argumentation analysis. Conference Paper/Proceeding/Abstract 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 390 396 IEEE Daegu, South Korea 978-1-5090-6065-8 9781509060641 11 12 2017 2017-12-11 10.1109/mfi.2017.8170352 COLLEGE NANME COLLEGE CODE Swansea University 2018-04-23T14:26:56.3804702 2018-04-11T18:37:59.9831577 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science D. Sacharny 1 T. C. Henderson 2 R. Simmons 3 A. Mitiche 4 T. Welker 5 Xiuyi Fan 6 |
title |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
spellingShingle |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis Xiuyi Fan |
title_short |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
title_full |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
title_fullStr |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
title_full_unstemmed |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
title_sort |
BRECCIA: A novel multi-source fusion framework for dynamic geospatial data analysis |
author_id_str_mv |
a88a07c43b3e80f27cb96897d1bc2534 |
author_id_fullname_str_mv |
a88a07c43b3e80f27cb96897d1bc2534_***_Xiuyi Fan |
author |
Xiuyi Fan |
author2 |
D. Sacharny T. C. Henderson R. Simmons A. Mitiche T. Welker Xiuyi Fan |
format |
Conference Paper/Proceeding/Abstract |
container_title |
2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) |
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390 |
publishDate |
2017 |
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Swansea University |
isbn |
978-1-5090-6065-8 9781509060641 |
doi_str_mv |
10.1109/mfi.2017.8170352 |
publisher |
IEEE |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
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description |
Geospatial Intelligence analysis involves the combination of multi-source information expressed in logical form, computational form, and sensor data. Each of these forms has its own way to describe uncertainty or error: e.g., frequency models, algorithmic truncation, floating point roundoff, Gaussian distributions, etc. We propose BRECCIA, a Geospatial Intelligence analysis system, which receives information from humans (as logical sentences), simulations (e.g., weather or environmental predictions), and sensors (e.g. cameras, weather stations, microphones, etc.), where each piece of information has an associated uncertainty; BRECCIA then provides responses to user queries based on a new probabilistic logic system which determines a coherent overall response to the query and the probability of that response; this new method avoids the exponential complexity of previous approaches. In addition, BRECCIA attempts to identify concrete mechanisms (proposed actions) to acquire new data dynamically in order to reduce the uncertainty of the query response. The basis for this is a novel approach to probabilistic argumentation analysis. |
published_date |
2017-12-11T03:49:59Z |
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1763752437221425152 |
score |
11.021648 |