Viswanath Avasarala

US Patent:

20100287478, Nov 11, 2010

Filed:

May 11, 2009

Appl. No.:

12/463731

Inventors:

Viswanath Avasarala - Schenectady NY, US
John Erik Hershey - Ballston Lake NY, US
Anil Varma - Clifton Park NY, US
Piero Patrone Bonissone - Schenectady NY, US

Assignee:

GENERAL ELECTRIC COMPANY - SCHENECTADY NY

International Classification:

G06F 15/177
G06F 17/30

US Classification:

715737

Abstract:

A semi-automated method for interactively analyzing a patent landscape in one embodiment includes retrieving a plurality of relevant patents indicative of a predetermined conceptual region of the patent landscape from a patent repository using a query. Competitive analysis of the plurality of relevant patents is conducted using an interactive network-based visualization technique. The competitive analysis is used for intellectual property enforcement, due diligence, and strategic investment analysis.

US Patent:

20120154582, Jun 21, 2012

Filed:

Sep 13, 2011

Appl. No.:

13/231639

Inventors:

Christopher Donald Johnson - Clifton Park NY, US
Peter Henry Tu - Niskayuna NY, US
Piero Patrone Bonissone - Schenectady NY, US
Kunter Seref Akbay - Niskayuna NY, US
Ting Yu - Albany NY, US
Corey Nicholas Bufi - Troy NY, US
Viswanath Avasarala - Schenectady NY, US
Naresh Sundaram Iyer - Saratoga Springs NY, US
Yi Yao - Rexford NY, US
Kedar Anil Patwardhan - Latham NY, US
Dashan Gao - Rexford NY, US

Assignee:

General Electric Company - Schenectady NY

International Classification:

G08B 19/00
H04N 7/18

US Classification:

348143, 340521, 348E07085

Abstract:

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

US Patent:

20130129165, May 23, 2013

Filed:

Nov 23, 2011

Appl. No.:

13/303714

Inventors:

Shai Dekel - Ramat-Hasharon, IL
Alexander Sherman - Herzliya, IL
Sohan Rashmi Ranjan - Bangalore, IN
Viswanath Avasarala - Niskayuna NY, US
Xiaofeng Liu - Niskayuna NY, US
Alexandre Nikolov Iankoulski - Niskayuna NY, US
Tianyi Wang - Niskayuna NY, US

International Classification:

G06K 9/62

US Classification:

382128

Abstract:

Certain embodiments of the present invention provide methods and systems for determining a hanging protocol for display of clinical images in a study. Certain embodiments provide a machine learning hanging protocol analysis system. The example system includes an image processing module to process image data to provide one or more features. The example system includes a learning engine to receive processed image data and additional data to learn and adapt a hanging protocol for repeated use by applying one or more machine learning algorithms to the processed image data and additional data. The learning engine is to continue to refine an available selection of candidate layouts based on the processed image data and additional data to provide one or more layout choices for selection to form a hanging protocol for display of image and other data.

US Patent:

20130211785, Aug 15, 2013

Filed:

Nov 5, 2010

Appl. No.:

13/517113

Inventors:

Piero Patrone Bonissone - Schenectady NY, US
Xiao Hu - Shanghai, CN
David Bianucci - Prato, IT
Lorenzo Salusti - Firenze, IT
Alessio Fabbri - Prato, IT
Feng Xue - Clifton Park NY, US
Viswanath Avasarala - Schenectady NY, US
Gianni Mochi - Scandicci, IT
Alberto Pieri - Calenzano, IT

International Classification:

G05B 23/02

US Classification:

702184

Abstract:

Method, system and computer software for diagnosing a compressor. The method includes generating a feature vector of the compressor, the feature vector of the compressor including components describing states of various parts of the compressor; determining, based on fuzzy constraints, an aggregated anomaly vector corresponding to the feature vector; defining rules for a preset list of possible faults/failure modes of the compressor; calculating a corroborating measure between the aggregated anomaly vector and the rules; and identifying a fault/failure mode of the compressor based on a result of the corroborating measure.

US Patent:

20190063192, Feb 28, 2019

Filed:

Aug 24, 2017

Appl. No.:

15/685089

Inventors:

- Houston TX, US
Viswanath AVASARALA - Katy TX, US

International Classification:

E21B 41/00
E21B 44/00
E21B 47/09
E21B 47/10
E21B 47/06
E21B 47/00

Abstract:

A method includes storing a first data structure associated with estimating a state of a drilling apparatus or operation based on data from a plurality of measurement devices. The method further includes receiving measurement data associated with a subset of the plurality of measurement devices. The method further includes, in response to determining that the subset does not include one or more measurement devices of the plurality of measurement devices, transforming the first data structure into a second data structure based on identities of the one or more measurement devices. The second data structure is associated with estimating the state of the drilling apparatus or operation based on data from the subset. The method further includes, based on the measurement data and the second data structure, generating an estimation of the state of the drilling apparatus or operation and a confidence value associated with the estimation.

US Patent:

20180174682, Jun 21, 2018

Filed:

Feb 2, 2018

Appl. No.:

15/887708

Inventors:

- Schenectady NY, US
Peter Henry Tu - Niskayuna NY, US
Piero Patrone Bonissone - Schenectady NY, US
Kunter Seref Akbay - Niskayuna NY, US
Ting Yu - Albany NY, US
Corey Nicholas Bufi - Troy NY, US
Viswanath Avasarala - Schenectady NY, US
Naresh Sundaram Iyer - Saratoga Springs NY, US
Yi Yao - Rexford NY, US
Kedar Anil Patwardhan - Latham NY, US
Dashan Gao - Rexford NY, US

International Classification:

G16H 40/20
G06Q 10/00
G16H 10/60
G08B 21/24

Abstract:

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

US Patent:

20170364644, Dec 21, 2017

Filed:

Aug 31, 2017

Appl. No.:

15/692182

Inventors:

- Schenectady NY, US
Peter Henry Tu - Niskayuna NY, US
Piero Patrone Bonissone - Schenectady NY, US
Kunter Seref Akbay - Niskayuna NY, US
Ting Yu - Albany NY, US
Corey Nicholas Bufi - Troy NY, US
Viswanath Avasarala - Schenectady NY, US
Naresh Sundaram Iyer - Saratoga Springs NY, US
Yi Yao - Rexford NY, US
Kedar Anil Patwardhan - Latham NY, US
Dashan Gao - Rexford NY, US

International Classification:

G06F 19/00
G06Q 10/00
G08B 21/24

Abstract:

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

US Patent:

20140236530, Aug 21, 2014

Filed:

Feb 18, 2014

Appl. No.:

14/183514

Inventors:

- Chapel Hill NC, US
Jeff Wright - Apex NC, US
Viswanath Avasarala - Morrisville NC, US

Assignee:

SQORD Inc. - Chapel Hill NC

International Classification:

G01P 15/00

US Classification:

702141

Abstract:

Systems and methods include a device and an algorithm for measuring adherence to various activity goals (e.g., time-based goals) and collecting ad-hoc game metrics using accelerometers or other sensors. Some embodiments can provide reduced computational, memory, or communications costs over conventional algorithms. In one embodiment, the resulting reduced battery usage can enable a device that is long-lasting, without the need for frequent recharging. This reduction, in turn, can enable the device to be sealed with limited or no external access. Another embodiment can include or interact with social networks and other online data sources to improve activity recognition.