John H Tatum

US Patent:

6591255, Jul 8, 2003

Filed:

Apr 5, 2000

Appl. No.:

09/543697

Inventors:

John T. Tatum - Alpharetta GA
Robert J. Jannarone - Atlanta GA

Assignee:

Netuitive, Inc. - Alpharetta GA

International Classification:

G06F 1518

US Classification:

706 25, 706 21

Abstract:

A âRapid Learner Client Serviceâ (RLCS) system that allows a large number of end-users to obtain the benefits of a sophisticated neural-network forecasting system. Rather than purchasing or developing a forecasting system of their own, RLCS clients subscribe to a forecasting service performed by forecasting equipment located at a remote site. This allows a single highly sophisticated forecasting system to meet the forecasting needs of a large number of subscribers. This forecasting service is performed by an RLCS server that periodically and automatically accesses the subscribers computer to obtain a fresh set of input data. Alternatively, the subscribers computer may contact the RLCS server to initiate the process. This input data is then downloaded to the RLCS server, where it is checked and corrected for errors by imputing values for missing or deviant input values. The error-corrected input data is then used to compute a forecast of output values, which are downloaded to the clients computer.

US Patent:

6876988, Apr 5, 2005

Filed:

Mar 16, 2001

Appl. No.:

09/811163

Inventors:

David Helsper - Marietta GA, US
Clayton Wilkinson - Alpharetta GA, US
Robert Zack - Grayson GA, US
John T. Tatum - Alpharetta GA, US
Robert J. Jannarone - Atlanta GA, US
Bernd Harzog - Alpharetta GA, US

Assignee:

Netuitive, Inc. - Alpharetta GA

International Classification:

G06E001/00

US Classification:

706 21, 706 25, 706 26

Abstract:

A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

US Patent:

8069132, Nov 29, 2011

Filed:

Apr 29, 2009

Appl. No.:

12/432514

Inventors:

Robert John Jannarone - San Diego CA, US
John Tyler Tatum - Atlanta GA, US
Jennifer A. Gibson - Atlanta GA, US

Assignee:

Brainlike, Inc. - Atlanta GA

International Classification:

G06F 9/44

US Classification:

706 52, 706 14, 706 23

Abstract:

Feature values, which may be multi-dimensional, collected over successive time slices, are efficiently processed for use, for example, in known adaptive learning functions and event detection. A Markov chain in a recursive function to calculate imputed values for data points by use of a “nearest neighbor” matrix. Only data for the time slices currently required to perform computations must be stored. Earlier data need not be retained. A data selector, referred to herein for convenience as a window driver, selects successive cells of appropriate adjacent values in one or more dimensions to comprise an estimation set. The window driver effectively indexes tables of data to efficiently deliver input data to the matrix. In one form, feature inputs are divided into subgroups for parallel, pipelined processing.

US Patent:

8229879, Jul 24, 2012

Filed:

Mar 27, 2009

Appl. No.:

12/412680

Inventors:

Robert J. Jannarone - San Diego CA, US
John Tyler Tatum - Atlanta GA, US
Thuy Xuan Cox - Suwanee GA, US
Leronzo Lidell Tatum - College Park GA, US

Assignee:

Brainlike, Inc. - Atlanta GA

International Classification:

G06F 15/18
G06K 9/62
G06N 5/04

US Classification:

706 61, 706 20, 706 21, 706 22

Abstract:

An auto-adaptive system is provided that includes a template builder that allows weighted templates to be created for computing auto-adaptive features, an auto-adaptive event locator that analyzes a data set to identify events, an event extractor that locates and extracts identified events and provides events for review by an event analyzer (operator or programmed module) to distinguish clutter data from target data, and an auto-adaptive risk analyzer that processes data related to hit rates, false alarm rates, alarm costs, and risk factors to determine return on investment information and receiver operator characteristic curves.

US Patent:

20110257978, Oct 20, 2011

Filed:

Oct 21, 2010

Appl. No.:

12/909633

Inventors:

Robert J. Jannarone - San Diego CA, US
John T. Tatum - Atlanta GA, US
Leronzo Lidell Tatum - College Park GA, US
David J. Cohen - Ann Arbor MI, US

Assignee:

BRAINLIKE, INC. - Atlanta GA

International Classification:

G10L 19/00

US Classification:

704500, 704E19001

Abstract:

A computer implemented method for processing audio data communicated between a first device and a second device over a data communication network, where one or more processors are programmed to perform steps include at a first device: receiving time series audio data comprising audio data over a time period; partitioning the audio data in a plurality of time segments; transforming the audio data in the plurality of time segments into a plurality of feature values; transmitting a subset of plurality of feature values over a data communication network; and at a second device: receiving the transmitted plurality of feature values from the data communication network; and transforming the feature values into the time domain to reproduce the time series audio data.

US Patent:

20120039395, Feb 16, 2012

Filed:

Mar 24, 2010

Appl. No.:

12/999616

Inventors:

Robert J. Jannarone - Atlanta GA, US
John T. Tatum - Atlanta GA, US
Thuy Xuan Cox - Atlanta GA, US
Leronzo Lidell Taturn - Atlanta GA, US
David J. Cohen - Atlanta GA, US

Assignee:

BRAINLIKE, INC. - Atlanta GA

International Classification:

H04N 7/30

US Classification:

37524018, 375E07226

Abstract:

The present invention is be directed to systems and methods that efficiently reduce cluttered data and identify useful information, in real-time. The disclosed auto-adaptive system distinguishes target data in data sets from clutter data that causes low target hit rates and high false alarm rates. Data set features may then be modified to account for changes over time, resulting in auto-adaptive alarm thresholds, higher target hits rates, and lower false alarm rates. In addition, data may be reduced to snip containing target information, while excluding large amounts of clutter data. Thereby, real-time data can be more readily understood and transmitted data can be reduced.

US Patent:

20180231701, Aug 16, 2018

Filed:

Feb 15, 2018

Appl. No.:

15/897698

Inventors:

Longfei Ye - Columbia SC, US
Thomas M. Crawford - Irmo SC, US
John Tyler Tatum - Atlanta GA, US
Cameron Nickle - Orlando FL, US

International Classification:

G02B 5/18
G02B 1/04
H01J 37/305
H01J 37/32

Abstract:

Disclosed are various embodiments for high diffraction efficiency phase gratings. An organized set of nanoparticles are embedded within a polymer composite. The polymer composite is then etched to generate one or more trenches in the polymer composite that correspond to the organized set of nanoparticles.