Stuart M Siegel, Age 6211542 Vicolo Loop, Windermere, FL 34786

8463651, Jun 11, 2013

May 27, 2011

13/117567

Daniel P. Connors - Pleasant Valley NY, US
Markus R. Ettl - Ossining NY, US
Mary E. Helander - White Plains NY, US
Shubir Kapoor - Shrub Oak NY, US
Stuart A. Siegel - Millburn NJ, US

International Business Machines Corporation - Armonk NY

G06G 1/14
G06Q 20/00
G07G 1/12
G07G 5/00
G07G 1/10

705 22, 705 23, 705 24, 705 25

There are provided a system, a method and a computer program product for tracking an inventory distribution of a perishable product in a supply chain. The system receives shipment data and point of sale data for the product from every location in the supply chain. The system creates, based on the obtained shipment data and the point of sale data, a network graph that represents a flow of the product in the supply chain. The system identifies an age of unsold inventory of the product at each node of the graph based on the created graph. The system provides a notification to a user at each location that informs the age of the unsold inventory of the product at that location.

2011017, Jul 21, 2011

Jan 20, 2010

12/690573

Pawan R. Chowdhary - Yorktown Heights NY, US
Anshul Gupta - Yorktown Heights NY, US
Rahul Jain - Hawthorne NY, US
Jayant Kalagnanam - Yorktown Heights NY, US
Stuart Siegel - Yorktown Heights NY, US
Dharmashankar Subramanian - Yorktown Heights NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06Q 10/00
G06Q 50/00
G06F 1/26

705 712, 705301, 705317, 705348, 700291

There are provided a method and system for optimizing of a long-term electricity resource plan. The system obtains a capital costs component value including capital costs for emission abatement retrofits at an existing power plant and a new power plant over a period of time. The system obtains a fuel costs component value including the sum of fuel utilization of all generating units in the existing power plant and new power plant over the period of time. The system obtains an emission costs component value including emission allowance costs and emission violation costs in the period of time. The system adds the capital costs component value, the fuel costs component value and the emission costs component value to compute a net present value that meets emission constraints.

2011027, Nov 10, 2011

May 4, 2010

12/773223

Jayant R. Kalagnanam - Tarrytown NY, US
Stuart A. Siegel - Millburn NJ, US
Dharmashankar Subramanian - Stamford CT, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06Q 10/00
G06Q 50/00
G06N 5/02

705348, 706 52

The present invention includes a computing system for evaluating a quality and risk-robustness of a utility company's capacity resource plan (CRP). The computing system computes a net present value of a total cost distribution of the CRP. The computing system calculates a standardized risk measure defined over the net present value. The computing system computes a resource plan that minimizes the standardized risk measure. Then, the computing system compares the standardized risk measure and the resource plan.

2017001, Jan 19, 2017

Oct 7, 2016

15/287846

- Armonk NY, US
Zhiguo Li - Yorktown Heights NY, US
Stuart A. Siegel - Millburn NJ, US
Amith Singhee - Bangalore, IN
Haijing Wang - Valhalla NY, US

G06N 99/00
G06N 7/00

A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.

2016035, Dec 8, 2016

Jun 8, 2015

14/733434

- Armonk NY, US
Himanshu Gupta - New Delhi, IN
Sriram Lakshminarasimhan - Chennai, IN
Sameep Mehta - New Delhi, IN
Stuart A. Siegel - Millburn NJ, US

G06F 17/30

Methods, systems, and computer program products for multi-level colocation and analytical processing of spatial data on MapReduce are provided herein. A method includes correlating multiple items of spatial data and multiple items of attribute data within a file system to generate multiple blocks of correlated data; colocating each of the multiple blocks of correlated data on a given node within the file system based on a data block placement policy; and clustering multiple replicas generated for each of the multiple data blocks at multiple levels of spatial granularity within the file system.

2016030, Oct 20, 2016

Jan 21, 2016

15/002494

- Armonk NY, US
Zhiguo Li - Yorktown Heights NY, US
Stuart A. Siegel - Millburn NJ, US
Amith Singhee - Bangalore, IN
Haijing Wang - Valhalla NY, US

G01W 1/10
G06N 99/00

A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.

2016030, Oct 20, 2016

Mar 21, 2016

15/075603

- Armonk NY, US
Zhiguo Li - Yorktown Heights NY, US
Stuart A. Siegel - Millburn NJ, US
Amith Singhee - Bangalore, IN
Haijing Wang - Valhalla NY, US

G06Q 10/06
G06N 99/00
G06N 5/04

A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.

2014035, Dec 4, 2014

Jun 4, 2013

13/909239

- Armonk NY, US
Jayant R. Kalagnanam - Tarrytown NY, US
Stuart A. Siegel - Millburn NJ, US
Yada Zhu - White Plains NY, US

G06N 5/04

706 48, 706 46, 706 52

A system and method for detecting anomalous energy usage of building or household entities. The method applies a number of successively stringent anomaly detection techniques to isolate households that are highly suspect for having engaged in electricity theft via meter tampering. The system utilizes historical time series data of electricity usage, weather, and household characteristics (e.g., size, age, value) and provides a list of households that are worthy of a formal theft investigation. Generally, raw utility usage data, weather history data, and household characteristics are cleansed, and loaded into an analytics data mart. The data mart feeds four classes of anomaly detection algorithms developed, with each analytic producing a set of households suspected of having engaged in electricity theft. The system allows a user to select households from each list or a set based on the intersection of all individual sets.