Patents by Inventor Dale V. Stansberry
Dale V. Stansberry 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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Patent number: 8788215Abstract: The present invention provides a method of predicting whether an unknown biological specimen originates from a member of a particular family. The method compares DNA profiles from at least one unknown biological specimen to DNA profiles of more than one family member, which significantly increases the methods' predictive ability. In particular, the invention describes a method of comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from biological specimens of family members. In one embodiment, a modified Elston Stewart algorithm is used to determine a probability that a genetic relationship exists between at least one unknown biological specimen and the family pedigree.Type: GrantFiled: September 17, 2012Date of Patent: July 22, 2014Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8775097Abstract: Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type.Type: GrantFiled: October 3, 2012Date of Patent: July 8, 2014Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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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: 8429153Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.Type: GrantFiled: May 11, 2012Date of Patent: April 23, 2013Assignees: The United States of America as Represented by the Secretary of the Army, University of Tennessee Research FoundationInventors: John Douglas Birdwell, Carl G. Sapp, Tse-wei Wang, David J. Icove, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Patent number: 8412463Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: GrantFiled: August 12, 2011Date of Patent: April 2, 2013Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Ranajit Chakraborty
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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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Publication number: 20130054603Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.Type: ApplicationFiled: May 11, 2012Publication date: February 28, 2013Applicants: U.S. GOVT. AS REPR. BY THE SECRETARY OF THE ARMY, UNIVERSITY OF TENNESSEE RESEARCH FOUNDATIONInventors: J. Douglas Birdwell, Carl G. Sapp, Tse-wei Wang, David J. Icove, Roger Horn, Mark S. Rader, Dale V. Stansberry
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Publication number: 20130030713Abstract: The present invention provides a method of predicting whether an unknown biological specimen originates from a member of a particular family. The method compares DNA profiles from at least one unknown biological specimen to DNA profiles of more than one family member, which significantly increases the methods' predictive ability. In particular, the invention describes a method of comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from biological specimens of family members. In one embodiment, a modified Elston Stewart algorithm is used to determine a probability that a genetic relationship exists between at least one unknown biological specimen and the family pedigree.Type: ApplicationFiled: September 17, 2012Publication date: January 31, 2013Applicant: The University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8301392Abstract: Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type.Type: GrantFiled: January 8, 2010Date of Patent: October 30, 2012Assignee: University of Tennessee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 8271201Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: GrantFiled: August 28, 2006Date of Patent: September 18, 2012Assignee: University of Tennesee Research FoundationInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Publication number: 20110295518Abstract: The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members.Type: ApplicationFiled: August 12, 2011Publication date: December 1, 2011Applicant: THE UNIVERSITY OF TENNESSEE RESEARCH FOUNDATIONInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Patent number: 7945526Abstract: An item is organized and presented by displaying a table, wherein the table displays a plurality of data comprising DNA profile analysis results including an observation characterizing the at least one item, and wherein an analysis result is based on a decision made by an expert system according to a rule base. An observation comprises one of concordance, a locus having a concordance error, an off-ladder peak, a peak height imbalance and a peak falling in an overlap region between loci. The rule base comprises rules related to background noise, spike, broad peak, duplicate allele, bleed-through peak, pull-up peak, stutter peak, ?A peak and global filter rules.Type: GrantFiled: September 21, 2010Date of Patent: May 17, 2011Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Publication number: 20110022561Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: ApplicationFiled: September 21, 2010Publication date: January 27, 2011Applicant: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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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
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Patent number: 7840519Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: GrantFiled: November 13, 2009Date of Patent: November 23, 2010Assignee: University of Tennesse Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Publication number: 20100138374Abstract: Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type.Type: ApplicationFiled: January 8, 2010Publication date: June 3, 2010Applicant: UNIVERSITY OF TENNESSEE RESEARCH FOUNDATIONInventors: Ranajit Chakraborty, John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry
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Publication number: 20100114809Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: ApplicationFiled: November 13, 2009Publication date: May 6, 2010Applicant: UNIVERSITY OF TENNESSEE RESEARCH FOUNDATIONInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Patent number: 7664719Abstract: Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source.Type: GrantFiled: November 16, 2006Date of Patent: February 16, 2010Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton
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Patent number: 7640223Abstract: An item is organized and presented by displaying a table, wherein the table displays a plurality of data comprising analysis results characterizing the at least one item, and wherein an analysis result is based on a decision made by an expert system according to a rule base. Input is accepted from a source, wherein the input may cause the analysis results to be modified, and wherein the results may be modified by re-applying the rule base. In response to the input, an updated table is created, wherein the updated table comprises the modified analysis results. This updated table is then displayable.Type: GrantFiled: November 16, 2006Date of Patent: December 29, 2009Assignee: University of Tennessee Research FoundationInventors: John Douglas Birdwell, Tse-Wei Wang, Dale V. Stansberry, Jared Pendleton