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Shilpa N Mahatma

from Chappaqua, NY
Age ~47
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Also known as:
Shilpa Kumar
Related to:
Tarun Kumar, 49
Connected to:
Amrit Mahato, 35Ashit K Mahato, 42Dipak Mahato, 53Sneha Mahato, 41Sudhir K Mahato, 73David Mahatoo, 79Swathi Mahavadi, 40Claire E Mahave, 53Reena A Mahavir, 44Prasanna J Mahawela, 58

Shilpa Mahatma Phones & Addresses

  • Chappaqua, NY
  • Mohegan Lake, NY
  • 21 Lakeview Rd, Ossining, NY 10562 (914) 762-1198
  • Yorktown Hts, NY
  • Yorktown Hts, NY

Publications

Us Patents

Causal Modeling Of Multi-Dimensional Hierachical Metric Cubes

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US Patent:
20120116850, May 10, 2012
Filed:
Nov 10, 2010
Appl. No.:
12/943316
Inventors:
Naoki Abe - Rye NY, US
Jing Fu - Yorktown Heights NY, US
Michael G. Gemmell - Saint John, CA
Shubir Kapoor - Shrub Oak NY, US
Floyd S. Kelly - Osgoode, CA
David M. Loehr - Ottawa, CA
Aurelie C. Lozano - Scarsdale NY, US
Shilpa N. Mahatma - Mohegan Lake NY, US
Bonnie K. Ray - Nyack NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06Q 10/00
US Classification:
705 738
Abstract:
A computing system initializes a first frontier to be a root of a multi-dimensional hierarchical data structure representing an entity. The system acquires first data corresponding to the first frontier. The system performs modeling on the first data to obtain a first model and a corresponding first statistic. The system expands a dimension of the first frontier. The system gathers second data corresponding to the expanded frontier. The system applies the data modeling on the second data to obtain a second model and a corresponding second statistic. The system compares the first statistic of the first model and the second statistic of the second model. The system sets the second model to be the first model in response to determining that the second model statistic is better than the first model statistic. The system outputs the first model.

System And Method For Risk Optimized, Spatially Sensitive Preventive Maintenance Scheduling For Asset Management

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US Patent:
20120130759, May 24, 2012
Filed:
Nov 24, 2010
Appl. No.:
12/954051
Inventors:
Andrew J. Davenport - Brooklyn NY, US
Arun Hampapur - Norwalk CT, US
Shilpa N. Mahatma - Mohegan Lake NY, US
Lexing Xie - White Plains NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06Q 10/00
G06F 17/30
US Classification:
705 712, 707802, 707E17005
Abstract:
A preventative maintenance method and a system for estimating the risk of failure of an asset based on intrinsic parameters such as failure history combined with causative factors like weather and independent external risk factors such as vandalism and risk of flooding. The present invention may further have a system for estimating the risk of failure of an asset based on intrinsic parameters, such as failure history combined with causative factors such as weather and independent external risk factors like vandalism and risk of flooding having a location based asset/service failure risk estimator, an external risk estimates database for feeding and an integrated failure risk database, the external risk estimates database feeding the integrated failure risk database.

Infrastructure Asset Management

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US Patent:
20120173300, Jul 5, 2012
Filed:
Jan 3, 2011
Appl. No.:
12/983556
Inventors:
Andrew J. Davenport - Brooklyn NY, US
Wei Shan Dong - Beijing, CN
Arun Hampapur - Norwalk CT, US
Zhong Bo Jiang - Beijing, CN
Jayant R. Kalagnanam - Tarrytown NY, US
Hongfei Li - Yorktown Heights NY, US
Shilpa N. Mahatma - Mohegan Lake NY, US
Wei Sun - Beijing, CN
Lexing Xie - White Plains NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/00
G06Q 90/00
US Classification:
705 728, 705500
Abstract:
An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets.

System And Method For Failure Association Analysis

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US Patent:
20120173301, Jul 5, 2012
Filed:
Jan 4, 2011
Appl. No.:
12/984019
Inventors:
Wei Shan Dong - Beijing, CN
Rogerio S. Feris - White Plains NY, US
Arun Hampapur - Norwalk CT, US
Zhong Bo Jiang - Beijing, CN
Shilpa N. Mahatma - Mohegan Lake NY, US
Wei Sun - Beijing, CN
Lexing Xie - White Plains NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06Q 10/00
US Classification:
705 728
Abstract:
A system and method for mining the failure association rules of geographically dispersed physical assets is provided. One approach of the present invention has steps of joining input data sources, extracting spatio-temporal (ST) information, quantilizing ST continuous value in automated manner, or based on pre-built knowledge, applying association rule mining algorithm to find associations between attributes and failure and outputting identified ST failure association rules.

Spatial-Temporal Optimization Of Physical Asset Maintenance

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US Patent:
20120316906, Dec 13, 2012
Filed:
Aug 8, 2012
Appl. No.:
13/569891
Inventors:
ARUN HAMPAPUR - Yorktown Heights NY, US
Hongfei Li - Yorktown Heights NY, US
Andrew J. Davenport - Yorktown Heights NY, US
Shilpa Mahatma - Yorktown Heights NY, US
Lexing Xie - Hawthorne NY, US
Rogerio S. Feris - Hawthorne NY, US
Wei Shan Dong - Haidian District Beijing, CN
Zhong Bo Jiang - Haidian District Beijing, CN
Hao Wang - Haidian District Beijing, CN
Jing Xiao - Haidian District Beijing, CN
Chunhua Tian - Haidian District Beijing, CN
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/06
US Classification:
705 712, 705 728
Abstract:
A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.

Anomaly Detection Using Usage Data For Metering System

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US Patent:
20130271289, Oct 17, 2013
Filed:
Apr 13, 2012
Appl. No.:
13/446701
Inventors:
Arun Hampapur - Norwalk CT, US
Zhong Bo Jiang - Beijing, CN
Hongfei Li - Yorktown Heights NY, US
Shilpa N. Mahatma - Mohegan Lake NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G08C 15/06
US Classification:
34087002
Abstract:
A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.

Spatial-Temporal Optimization Of Physical Asset Maintenance

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US Patent:
20120059684, Mar 8, 2012
Filed:
Sep 2, 2010
Appl. No.:
12/874979
Inventors:
ARUN HAMPAPUR - Yorktown Heights NY, US
HONGFEI LI - Yorktown Heights NY, US
ANDREW J. DAVENPORT - Yorktown Heights NY, US
SHILPA MAHATMA - Yorktown Heights NY, US
LEXING XIE - Yorktown Heights NY, US
ROGERIO S. FERIS - Hawthorne NY, US
WEI SHAN DONG - Haidian District Beijing, CN
ZHONG BO JIANG - Haidian District Beijing, CN
HAO WANG - Haidian District Beijing, CN
JING XIAO - Haidian District Beijing, CN
CHUNHUA TIAN - Haidian District Beijing, CN
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 10/00
US Classification:
705 728
Abstract:
A method for determining a maintenance schedule of geographically dispersed physical assets includes receiving asset data including infrastructure relationships between the assets, modeling failure risk of the assets based on spatial, temporal and network relationships, and producing the maintenance schedule according to a combination of the risk model, asset data, maintenance, and external operation constraints. The maintenance schedule may be corrective and/or strategic.

Scalable And Traceable Healthcare Analytics Management

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US Patent:
20220344039, Oct 27, 2022
Filed:
Jul 8, 2022
Appl. No.:
17/860348
Inventors:
- Armonk NY, US
Shilpa N. Mahatma - Chappaqua NY, US
Yajuan Wang - White Plains NY, US
Rose M. Williams - Wappinger Falls NY, US
Gigi Y.C. Yuen-Reed - Tampa FL, US
International Classification:
G16H 40/20
G16H 50/70
G16H 70/20
Abstract:
A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a healthcare analytics management system. A healthcare analytics development sub-system of the healthcare analytics management system develops an analytics pipeline of a set of analytics assets for a selected healthcare based on a set of business needs for a healthcare analytics client and a healthcare analytics model based on the set of analytics assets and the set of business needs. The healthcare analytics model links to the analytics pipeline. A model deployment module of a healthcare analytics operation sub-system of the healthcare analytics management system deploys the healthcare analytics model on a set of computing devices of the selected healthcare consumer. Responsive to a model monitoring module of the healthcare analytics operation sub-system detecting a performance deviation of the deployed healthcare analytics model for performance deviation from the set of business needs for the healthcare analytics client, a model feedback module of the healthcare analytics operation sub-system determines improvement needs for the healthcare analytics model. The model feedback module feeds the improvement needs back to the healthcare analytics development sub-system. The healthcare analytics development sub-system customizes the healthcare analytics model based on the improvement needs
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Shilpa N Mahatma from Chappaqua, NY, age ~47 Get Report