Mark Steven Rader

US Patent:

8140271, Mar 20, 2012

Filed:

Nov 16, 2010

Appl. No.:

12/947063

Inventors:

Tse-Wei Wang - Oak Ridge TN, US
John Douglas Birdwell - Oak Ridge TN, US
Xue Ning - Knoxville TN, US
Mark S. Rader - Huntsville AL, US
John Flaherty - Knoxville TN, US

Assignee:

University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 7/00

US Classification:

702 19, 702 20, 703 11, 707700, 435 61

Abstract:

Least Square Deconvolution (LSD) uses quantitative allele peak data, for example, allele peak area, allele peak height and optical density, derived/obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

US Patent:

8375032, Feb 12, 2013

Filed:

Jun 25, 2010

Appl. No.:

12/823320

Inventors:

J. Douglas Birdwell - Oak Ridge TN, US
Tse-Wei Wang - Oak Ridge TN, US
David J. Icove - Knoxville TN, US
Sally P. Horn - Knoxville TN, US
Mark S. Rader - Huntsville AL, US

Assignee:

University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707737, 707758

Abstract:

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. By way of example, a fire event and residual objects may be located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.

US Patent:

8396870, Mar 12, 2013

Filed:

Jun 25, 2010

Appl. No.:

12/823303

Inventors:

J. Douglas Birdwell - Oak Ridge TN, US
Tse-Wei Wang - Oak Ridge TN, US
David J. Icove - Knoxville TN, US
Sally P. Horn - Knoxville TN, US
Roger Horn - Knoxville TN, US
Mark S. Rader - Huntsville AL, US
Dale V. Stansberry - Oak Ridge TN, US

Assignee:

University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707737, 707758

Abstract:

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. By way of example, a fire event and residual objects may be located and qualified such that, for example, properties of the residual objects may be qualified, for example, via black body radiation and micro-body databases including charcoal assemblages.

US Patent:

8429153, Apr 23, 2013

Filed:

May 11, 2012

Appl. No.:

13/469320

Inventors:

John Douglas Birdwell - Oak Ridge TN, US
Carl G. Sapp - Columbia SC, US
Tse-wei Wang - Oak Ridge TN, US
David J. Icove - Knoxville TN, US
Roger Horn - Knoxville TN, US
Mark S. Rader - Huntsville AL, US
Dale V. Stansberry - Oak Ridge TN, US

Assignee:

The United States of America as Represented by the Secretary of the Army - Washington DC
University of Tennessee Research Foundation - Knoxville TN

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707722, 707723, 707737

Abstract:

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.

US Patent:

55923577, Jan 7, 1997

Filed:

Sep 10, 1993

Appl. No.:

8/119358

Inventors:

Mark S. Rader - Knoxville TN
Igor Alexeff - Oak Ridge TN
Peter P. Tsai - Knoxville TN
Larry C. Wadsworth - Knoxville TN

Assignee:

The University of Tennessee Research Corp. - Knoxville TN

International Classification:

H05F 300

US Classification:

361225

Abstract:

A pair of electrodes are biased to produce an electrostatic discharge while placing a thin non electron absorbing gas layer near one or both of the electrodes which are used to develop the electric field. As a result, atmospheric oxygen, water vapor and other contaminants are removed from the regions surrounding the electrodes, allowing ionization to occur more easily. This is accomplished with an electrode structure including a hollow tube for receiving a gas, a plurality of apertures extending through the hollow tube for delivering the gas to the surface of the hollow tube, and the application of a biasing voltage for producing an electrostatic discharge in the presence of the gas. The tube can take the form of a longitudinally extending structure, or a hollow shell, depending upon the configuration of the electrostatic charging apparatus with which the electrode structure is used.

US Patent:

20190059803, Feb 28, 2019

Filed:

Mar 3, 2017

Appl. No.:

16/081511

Inventors:

- Knoxville TN, US
Karl Arthur SILLAY - Germantown TN, US
John Douglas BIRDWELL - Oak Ridge TN, US
Mark Steven RADER - Huntsville AL, US

International Classification:

A61B 5/00
A61B 5/0476

Abstract:

One embodiment of an exemplary ambulatory seizure monitoring method calculates a phase lock value synchrony level of a neurological signal of an individual; detects an onset of a seizure event for the individual by comparing the phase lock value synchrony level with a patient threshold for the individual; and transmits a notification to a remote communication device indicating the onset of the seizure event for the individual.

US Patent:

20150317344, Nov 5, 2015

Filed:

Jun 19, 2014

Appl. No.:

14/309065

Inventors:

- Knoxville TN, US
Tse-Wei Wang - Oak Ridge TN, US
David J. Icove - Knoxville TN, US
Sally P. Horn - Knoxville TN, US
Roger Horn - Knoxville TN, US
Mark S. Rader - Huntsville AL, US
Dale V. Stansberry - Oak Ridge TN, US

Assignee:

UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION - Knoxville TN
The United States of America as Represented by the Secretary of the Army - Washington DC

International Classification:

G06F 17/30

Abstract:

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. By way of example, an evidence tree display showing a target object linked by a pathway to a predicted property comprises a similarity value, a speculation value and a model-based rank.