Patents by Inventor Sally P. Horn
Sally P. Horn has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20150317344Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic and thermal spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: ApplicationFiled: June 19, 2014Publication date: November 5, 2015Applicants: UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION, The United States of America as Represented by the Secretary of the ArmyInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Publication number: 20140297546Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: ApplicationFiled: June 16, 2014Publication date: October 2, 2014Applicant: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Patent number: 8775427Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: December 4, 2012Date of Patent: July 8, 2014Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Patent number: 8775428Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic and thermal spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: February 7, 2013Date of Patent: July 8, 2014Assignees: The United States of America as Represented by the Secretary of the Army, University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Patent number: 8762379Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: January 30, 2013Date of Patent: June 24, 2014Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Patent number: 8713019Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method utilizes a model comprising application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: January 14, 2013Date of Patent: April 29, 2014Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Patent number: 8396870Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: June 25, 2010Date of Patent: March 12, 2013Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Patent number: 8392418Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: June 25, 2010Date of Patent: March 5, 2013Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Patent number: 8375032Abstract: Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: GrantFiled: June 25, 2010Date of Patent: February 12, 2013Assignee: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Mark S. Rader
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Publication number: 20100332474Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: ApplicationFiled: June 25, 2010Publication date: December 30, 2010Applicant: University of Tennessee Research FoundationInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn
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Publication number: 20100332210Abstract: Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: ApplicationFiled: June 25, 2010Publication date: December 30, 2010Applicants: UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION, U.S. Army Space & Missile Defense Command/Army Forces Strategic CommandInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Mark Rader
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Publication number: 20100332475Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.Type: ApplicationFiled: June 25, 2010Publication date: December 30, 2010Applicants: UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION, U.S. Army Space & Missile Defense Command/Army Forces Strategic CommandInventors: J. Douglas Birdwell, Tse-Wei Wang, David J. Icove, Sally P. Horn, Roger Horn, Mark Rader, Dale V. Stansberry