Jayson T Durham

US Patent:

8201773, Jun 19, 2012

Filed:

Jul 2, 2008

Appl. No.:

12/167075

Inventors:

Jayson T. Durham - Lakeside CA, US
Joshua Blanchi - San Diego CA, US

Assignee:

The United States of America as represented by Secretary of the Navy - Washington DC

International Classification:

B64C 3/56

US Classification:

244 49, 244 46, 244218, 244219, 244 998

Abstract:

A composite flexible and aerodynamic load bearing wing structure suitable for compact unmanned vehicles, is described. Flexible printed circuitry and micro fuel cells can be incorporated as, or part of, the flexible aerodynamic structure. Accordingly, the overall system configuration can be optimized with respect to weight, space and size requirements. The flexible aerodynamic structure for the unmanned vehicle may be configured with a flexible dielectric substrate having an electrical contact on at least one surface of the substrate, and a flexible printed circuit disposed upon the substrate. The printed circuit can flex with the substrate and the substrate, with the printed circuit, to form a load lifting aerodynamic wing configuration when unfolded from a folded position.

US Patent:

20020025170, Feb 28, 2002

Filed:

Aug 28, 2001

Appl. No.:

09/940746

Inventors:

Dennis Grace - San Diego CA, US
Jayson Durham - Lakeside CA, US

International Classification:

G03B001/00

US Classification:

396/661000

Abstract:

Methods for normalization of experimental data with experiment-to-experiment variability. The experimental data may include biotechnology data or other data where experiment-to-experiment variability is introduced by an environment used to conduct multiple iterations of the same experiment. Deviations in the experimental data are measured between a central character and data values from multiple indexed data sets. The central character is a value of an ordered comparison determined from the multiple indexed data sets. The central character includes zero-order and low order central characters. Deviations between the central character and the multiple indexed data sets are removed by comparing the central character to the measured deviations from the multiple indexed data sets, thereby reducing deviations between the multiple indexed data sets and thus reducing experiment-to-experiment variability. Preferred embodiments of the present invention may be used to reduce intra-experiment and inter-experiment variability. When experiment-to-experiment variability is reduced or eliminated, comparison of experimental results can be used with a higher degree of confidence. Experiment-to-experiment variability is reduced for biotechnology data with new methods that can be used for bioinformatics or for other types of experimental data that are visual displayed (e.g., telecommunications data, electrical data for electrical devices, optical data, physical data, or other data). Experimental data can be consistently collected, processed and visually displayed with results that are accurate and not subject to experiment-to-experiment variability. Thus, intended experimental goals or results (e.g., determining polynucleotide sequences such as DNA, cDNA, or mRNA sequences) may be achieved in a more efficient and effective manner.

US Patent:

20020026294, Feb 28, 2002

Filed:

Aug 28, 2001

Appl. No.:

09/940581

Inventors:

Dennis Grace - San Diego CA, US
Jayson Durham - Lakeside CA, US

International Classification:

G06F015/00

US Classification:

702/190000

Abstract:

Methods for normalization of experimental data with experiment-to-experiment variability. The experimental data may include biotechnology data (e.g., DNA, cDNA, cRNA or mRNA) or other data where experiment-to-experiment variability is introduced by an environment used to conduct multiple iterations of the same experiment. Deviations in the experimental data are measured between a central character and data values from multiple indexed data sets and may be used to reduce intra-experiment and inter-experiment variability. When experiment-to-experiment variability is reduced or eliminated, comparison of experimental results can be used with a higher degree of confidence. Experiment-to-experiment variability is reduced for biotechnology data with new methods that can be used for bioinformatics or for other types of experimental data that are visual displayed. Experimental data can be consistently collected, processed and visually displayed with results that are accurate and not subject to experiment-to-experiment variability.

US Patent:

20020049570, Apr 25, 2002

Filed:

Aug 28, 2001

Appl. No.:

09/940987

Inventors:

Dennis Grace - San Diego CA, US
Jayson Durham - Lakeside CA, US

International Classification:

H03F001/26
G06F015/00
H04B015/00

US Classification:

702/194000

Abstract:

Methods for normalization of experimental data with experiment-to-experiment variability. The experimental data may include biotechnology data or other data where experiment-to-experiment variability is introduced by an environment used to conduct multiple iterations of the same experiment. Deviations in the experimental data are measured between a central character and data values from multiple indexed data sets. The central character is a value of an ordered comparison determined from the multiple indexed data sets. The central character includes zero-order and low order central characters. Deviations between the central character and the multiple indexed data sets are removed by comparing the central character to the measured deviations from the multiple indexed data sets, thereby reducing deviations between the multiple indexed data sets and thus reducing experiment-to-experiment variability. Preferred embodiments of the present invention may be used to reduce intra-experiment and inter-experiment variability. When experiment-to-experiment variability is reduced or eliminated, comparison of experimental results can be used with a higher degree of confidence. Experiment-to-experiment variability is reduced for biotechnology data with new methods that can be used for bioinformatics or for other types of experimental data that are visual displayed (e.g., telecommunications data, electrical data for electrical devices, optical data, physical data, or other data). Experimental data can be consistently collected, processed and visually displayed with results that are accurate and not subject to experiment-to-experiment variability. Thus, intended experimental goals or results (e.g., determining polynucleotide sequences such as DNA, cDNA, or mRNA sequences) may be achieved in a more efficient and effective manner.

US Patent:

20120151402, Jun 14, 2012

Filed:

Sep 30, 2009

Appl. No.:

12/571237

Inventors:

Jayson Durham - Lakeside CA, US
Nolan D. Cmerek - Houston TX, US

International Classification:

G06F 3/048

US Classification:

715772

Abstract:

An enterprise management technique is used to manage resolution or execution of a resolution. An infrastructure is selected as a given basis for an enterprise architecture, and a discrepancy, problem, need, goal or other task is identified as a resolution object, and a determination is made whether the resolution object has validity as a resolution object to be addressed by the organization. A minimum set of individuals or stakeholders is identified as a sub-group to address or execute the resolution object based at least in part on the selection. A measurement characteristic is identified and a protocol for approval of the selection is followed. The progress of the sub-group in the addressing or execution of the resolution object is monitored by monitoring the measurement characteristic.

US Patent:

20120330869, Dec 27, 2012

Filed:

Jun 3, 2012

Appl. No.:

13/487249

Inventors:

Jayson Theordore Durham - Lakeside CA, US

International Classification:

G06N 3/02

US Classification:

706 16

Abstract:

A mental-model elicitation process and apparatus, called the Mental-Model Elicitation Device (MMED) is described. The MMED is used to give rise to more effective end-user mental-modeling activities that require executive function and working memory functionality. The method and apparatus is visual analysis based, allowing visual and other sensory representations to be given to thoughts, attitudes, and interpretations of a user about a given visualization of a mental-model, or aggregations of such visualizations and their respective blending. Other configurations of the apparatus and steps of the process may be created without departing from the spirit of the invention as disclosed.

US Patent:

55329985, Jul 2, 1996

Filed:

Feb 14, 1995

Appl. No.:

8/389125

Inventors:

Jayson T. Durham - San Diego CA

Assignee:

Serotech, Inc. - Irvine CA

International Classification:

G11B 700

US Classification:

369116

Abstract:

An optical data storage system is disclosed in which information is encoded and decoded in the spectrally resolved optical properties of the storage medium. An optical storage medium scatters an incident light excitation into both elastic and inelastic light beams. The inelastically scattered light serves as an optical data storage channel, whereby the inelastic light scattering properties of the medium are modulated in accordance with the information to be encoded or decoded. The elastically scattered light is also used as a data channel as in conventional optical storage systems, as well as for control functions. By increasing the optical processing gain, relatively weak inelastic scattering channels may provide a signal:noise ratio sufficient for storage applications. Furthermore, incorporation of a plurality of independently addressable inelastic scattering channels increases the storage density of the medium.

US Patent:

63340992, Dec 25, 2001

Filed:

May 25, 1999

Appl. No.:

9/318679

Inventors:

Dennis R. Grace - San Diego CA
Jayson T. Durham - Lakeside CA

Assignee:

Digital Gene Technologies, Inc. - La Jolla CA

International Classification:

G06F 1700

US Classification:

702194

Abstract:

Methods for normalization of experimental data with experiment-to-experiment variability. The experimental data may include biotechnology data or other data where experiment-to-experiment variability is introduced by an environment used to conduct multiple iterations of the same experiment. Deviations in the experimental data are measured between a central character and data values from multiple indexed data sets. The central character is a value of an ordered comparison determined from the multiple indexed data sets. The central character includes zero-order and low order central characters. Deviations between the central character and the multiple indexed data sets are removed by comparing the central character to the measured deviations from the multiple indexed data sets, thereby reducing deviations between the multiple indexed data sets and thus reducing experiment-to-experiment variability. Preferred embodiments of the present invention may be used to reduce intra-experiment and inter-experiment variability. When experiment-to-experiment variability is reduced or eliminated, comparison of experimental results can be used with a higher degree of confidence.