Bruce J Bates

US Patent:

6389229, May 14, 2002

Filed:

May 17, 2000

Appl. No.:

09/575542

Inventors:

Mark J. DiPippo - Newport RI
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G03B 700

US Classification:

396 63, 396 65

Abstract:

A method and apparatus to determine the f that provides optimal image resolution for a predetermined depth-of-field. An approximate and exact method and apparatus are provided to determine the optimal resolution f. The optimal resolution f is a function of the lens focal length, depth-of-field in front of the object, wavelength of light, and distance of the object to the lens center. Once the optimal resolution f is determined, the camera is adjusted to the closest discrete f available. When the approximate field technique is utilized, the camera must be adjusted to the discrete f closest to, but not exceeding, the computed f.

US Patent:

6397234, May 28, 2002

Filed:

Aug 20, 1999

Appl. No.:

09/379210

Inventors:

Chung T. Nguyen - Austin TX
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G06F 700

US Classification:

708200, 382228

Abstract:

A method and apparatus are provided for automatically characterizing the spatial arrangement among the data points of a time series distribution in a data processing system wherein the classification of said time series distribution is required. The method and apparatus utilize a grid in Cartesian coordinates to determine (1) the number of cells in the grid containing at least-one input data point of the time series distribution; (2) the expected number of cells which would contain at least one data point in a random distribution in said grid; and (3) an upper and lower probability of false alarm above and below said expected value utilizing a discrete binomial probability relationship in order to analyze the randomness characteristic of the input time series distribution. A labeling device also is provided to label the time series distribution as either random or nonrandom, and/or random or nonrandom.

US Patent:

6430522, Aug 6, 2002

Filed:

Mar 27, 2000

Appl. No.:

09/536488

Inventors:

Chung T. Nguyen - Austin TX
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G06F 1710

US Classification:

702181, 703 2

Abstract:

A method for finding a probability density function (PDF) and its statistical moments for a chosen one of four newly derived probability models for an arbitrary exponential function of the forms g(x)=x e , -âxâ; The model chosen will depend on the domain of the data and whether information on the parameters a and b exists. These parameters may typically be the mean or average of the data and the standard deviation, respectively. Non-linear regression analyses are performed on the data distribution and a basis function is reconstructed from the estimates in the final solution set to obtain a PDF, a moment generating function and the mean and variance. Simple hypotheses about the behavior of such functional forms may be tested statistically once the empirical least squares methods have identified an applicable model derived from actual measurements.

US Patent:

6466516, Oct 15, 2002

Filed:

Oct 4, 2000

Appl. No.:

09/678877

Inventors:

Chung T. Nguyen - Austin TX
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G06K 962

US Classification:

367131, 382228, 706 20

Abstract:

A method and apparatus are provided for automatically characterizing the spatial arrangement among the data points of a three-dimensional time series distribution in a data processing system wherein the classification of said time series distribution is required. The method and apparatus utilize grids in Cartesian coordinates to determine (1) the number of cubes in the grids containing at least one input data point of the time series distribution; (2) the expected number of cubes which would contain at least one data point in a random distribution in said grids; and (3) an upper and lower probability of false alarm above and below said expected value utilizing a discrete binomial probability relationship in order to analyze the randomness characteristic of the input time series distribution. A labeling device also is provided to label the time series distribution as either random or nonrandom, and/or random or nonrandom within what probability, prior to its output from the invention to the remainder of the data processing system for further analysis.

US Patent:

56755538, Oct 7, 1997

Filed:

Jun 28, 1996

Appl. No.:

8/682895

Inventors:

Francis J. O'Brien - Newport RI
Chung T. Nguyen - Bristol RI
Sherry E. Hammel - Little Compton RI
Bruce J. Bates - Portsmouth RI
Steven C. Nardone - Narragansett RI

Assignee:

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

International Classification:

G01S 1500

US Classification:

367135

Abstract:

The present invention comprises a method for filling in missing data intels in a quantized time-dependent data signal that is generated by, e. g. , an underwater acoustic sensing device. In accordance with one embodiment of the invention, this quantized time-dependent data signal is analyzed to determine the number and location of any intervals of missing data, i. e. , gaps in the time series data signal caused by noise in the sensing equipment or the local environment. The quantized time-dependent data signal is also modified by a low pass filter to remove any undesirable high frequency noise components within the signal. A plurality of mathematical models are then individually tested to derive an optimum regression curve for that model, relative to a selected portion of the signal data immediately preceding each previously identified data gap. The aforesaid selected portion is empirically determined on the basis of a data base of signal values compiled from actual undersea propagated signals received in cases of known target motion scenarios. An optimum regression curve is that regression curve, linear or nonlinear, for which a mathematical convergence of the model is achieved.

US Patent:

57842973, Jul 21, 1998

Filed:

Jan 13, 1997

Appl. No.:

8/782362

Inventors:

Francis J. O'Brien - Newport RI
Chung T. Nguyen - Bristol RI
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G01S 1500

US Classification:

364554

Abstract:

A method for finding a probability density function (PDF) and its statistical moments for an arbitrary exponential function of the form g(x)=. alpha. x. sup. m e. sup. -. beta. x. spsp. n,0-1 are real constants in one-dimensional distributions and g(x. sub. 1,x. sub. 2,. . . ,x. sub. l) in the hyperplane. Non-linear regression analyses are performed on the data distribution and a root-mean-square (RMS) is calculated and recorded for each solution set until convergence. The basis function is reconstructed from the estimates in the final solution set and a PDF is obtained. The moment generating function (MGF), which characterizes any statistical moment of the distribution, is obtained using a novel function derived by the inventors and the mean and variance are obtained in standard fashion. Simple hypotheses about the behavior of such functional forms may be tested statistically once the empirical least squares methods have identified an applicable model derived from actual measurements.

US Patent:

58867007, Mar 23, 1999

Filed:

Jul 24, 1997

Appl. No.:

8/903242

Inventors:

Mark J. Di Pippo - Newport RI
Bruce J. Bates - Portsmouth RI

Assignee:

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

International Classification:

G06F 300

US Classification:

345355

Abstract:

A method for manipulating a three-dimensional sub-volume within a graphical display is disclosed and includes selecting an option from a menu screen to relocate or re-size a three-dimensional sub-volume within the graphical display, and upon selecting the option to relocate or re-size, proceeding with the following. A cursor is placed on either the sub-volume or a selected corner of the sub-volume within the graphical display, a selected one of a left and a right mouse buttons is depressed, and the sub-volume is dragged to a relocation area or resized within an "x-y" plane and/or a "z" plane of the graphical display according to depression of the selected mouse button and placement of the cursor. When the selected one of the left and right mouse buttons is released, the x, y, and z-coordinates of the relocation area and/or resizing are locked. The sub-volume is, therefore, manipulated within a three-dimensional frame of reference by controlling the mouse.

US Patent:

56967004, Dec 9, 1997

Filed:

Jun 26, 1995

Appl. No.:

8/494674

Inventors:

Francis J. O'Brien - Newport RI
Chung T. Nguyen - Bristol RI
Sherry E. Hammel - Little Compton RI
Bruce J. Bates - Portsmouth RI
Steven C. Nardone - Narragansett RI

Assignee:

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

International Classification:

G06F 1760

US Classification:

364550

Abstract:

A signal processing system and computer-implemented method for processing a igital data sequence representing an input signal to generate a fractal dimension value. The system includes a correlation integral value generation module, correlation plot generation module, a segmentation module, correlation dimension generation module, and a control module. The correlation integral value generation module generates a series of correlation integral values for points w. sub. n (k) in "N"-dimensional space corresponding to vectors of said digital data sequence, and in particular generates inter-point distance values within each of a plurality of volume elements of said "N"-dimensional space. The correlation plot generation module generates a correlation integral plot comprising a plot of the correlation integral values as a function of said "N"-dimensional space volume elements. The segmentation module generates, from the plot, a series of correlation integral plot segments.