Dhaivat P Parikh

US Patent:

20140200869, Jul 17, 2014

Filed:

Apr 30, 2013

Appl. No.:

13/873859

Inventors:

- Armonk NY, US
Qing He - East Amherst NY, US
Hongfei Li - Briarcliff Manor NY, US
Zhiguo Li - Yorktown Heights NY, US
Dhaivat P. Parikh - Plano TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/06

US Classification:

703 6

Abstract:

Predicting operational changes in a multi-detector environment includes generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources, identifying a subset of the time series data as a feature selection based on application of a loss function, and generating a predictive model from the subset of the time series data.

US Patent:

20140200870, Jul 17, 2014

Filed:

Aug 8, 2013

Appl. No.:

13/962252

Inventors:

- Armonk NY, US
Qing He - East Amherst NY, US
Hongfei Li - Briarcliff Manor NY, US
Zhiguo Li - Yorktown Heights NY, US
Dhaivat P. Parikh - Plano TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/06

US Classification:

703 6

Abstract:

Predicting operational changes in a multi-detector environment includes generating, via a computer processing device, a factor matrix for each univariate time series data in a set of sparse time series data collected from data sources, identifying a subset of the time series data as a feature selection based on application of a loss function, and generating a predictive model from the subset of the time series data.

US Patent:

20140200872, Jul 17, 2014

Filed:

Apr 30, 2013

Appl. No.:

13/873851

Inventors:

- Armonk NY, US
Arun Hampapur - Norwalk CT, US
Qing He - East Amherst NY, US
Hongfei Li - Briarcliff Manor NY, US
Zhiguo Li - Yorktown Heights NY, US
Dhaivat P. Parikh - Plano TX, US
Buyue Qian - Sacramento CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/50

US Classification:

703 8, 703 6

Abstract:

An aspect of an online learning system includes collecting data, via a computer processing device, from a plurality of data sources including multiple disparate detectors, the data including at least one of historical alarm data, failures, maintenance records, and environment observations. The data is stored in tables each corresponding to a subject of measurement. The online learning system also includes identifying common fields shared across the tables, merging at least a portion of the data across the tables having the common fields, and creating an integrated data model based on results of the merging.

US Patent:

20140200873, Jul 17, 2014

Filed:

Aug 8, 2013

Appl. No.:

13/962229

Inventors:

- Armonk NY, US
Arun Hampapur - Norwalk CT, US
Qing He - East Amherst NY, US
Hongfei Li - Briarcliff Manor NY, US
Zhiguo Li - Yorktown Heights NY, US
Dhaivat P. Parikh - Plano TX, US
Buyue Qian - Sacramento CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/50

US Classification:

703 8, 703 6

Abstract:

An aspect of an online learning system includes collecting data, via a computer processing device, from a plurality of data sources including multiple disparate detectors, the data including at least one of historical alarm data, failures, maintenance records, and environment observations. The data is stored in tables each corresponding to a subject of measurement. The online learning system also includes identifying common fields shared across the tables, merging at least a portion of the data across the tables having the common fields, and creating an integrated data model based on results of the merging.

US Patent:

20140200951, Jul 17, 2014

Filed:

Apr 30, 2013

Appl. No.:

13/873829

Inventors:

- Armonk NY, US
Hongfei Li - Briarcliff Manor NY, US
Dhaivat P. Parikh - Plano TX, US
Buyue Qian - Sacramento CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/06

US Classification:

705 728

Abstract:

An aspect of scalable rule logicalization for asset health management includes aggregating data, via a computer processing device, from data sources, extracting a set of features from the data, projecting the features to a lower dimensional space, generating a prediction based on the projecting, logicalizing a decision boundary for the prediction, and estimating a confidence level of the prediction based on the decision boundary.

US Patent:

20140200952, Jul 17, 2014

Filed:

Aug 8, 2013

Appl. No.:

13/962203

Inventors:

- Armonk NY, US
Hongfei Li - Briarcliff Manor NY, US
Dhaivat P. Parikh - Plano TX, US
Buyue Qian - Sacramento CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/06

US Classification:

705 728

Abstract:

An aspect of scalable rule logicalization for asset health management includes aggregating data, via a computer processing device, from data sources, extracting a set of features from the data, projecting the features to a lower dimensional space, generating a prediction based on the projecting, logicalizing a decision boundary for the prediction, and estimating a confidence level of the prediction based on the decision boundary.

Address:

3305 Wyndham Cir APT 155, Alexandria, VA 22302

VIN:

4T1BE46K87U115440

Make:

TOYO

Model:

CAMR

Year:

2007