Sudhee N Subrahmanya

US Patent:

8433803, Apr 30, 2013

Filed:

Mar 20, 2012

Appl. No.:

13/424896

Inventors:

Hari Haranath Madduri - Austin TX, US
Sudhee Nagabhushan Subrahmanya - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 15/16
G06F 15/18

US Classification:

709226, 709202, 709224, 709206, 709204, 709229, 705 2, 705 3, 705 4, 705 261, 718100, 718104

Abstract:

A method, data processing system, and computer program product for managing resources. A request for resources in the network data processing system is received. The request comprises requested values for a plurality of attributes for the resources in the network data processing system. In response to receiving the request, potential resources in the network data processing system are identified. The request is evaluated using a function configured to generate identified values for the plurality of attributes from the requested values in the request based on proximity scores for the plurality of attributes in the potential resources relative to an ideal allocation of the potential resources and resource weights for the plurality of attributes in the potential resources.

US Patent:

20080116266, May 22, 2008

Filed:

Oct 25, 2006

Appl. No.:

11/552844

Inventors:

SUDHEE NAGABHUSHAN SUBRAHMANYA - Austin TX, US

International Classification:

G06K 15/00
G06F 9/44

US Classification:

235383, 705 7

Abstract:

A computer implemented method, a computer program product, and a data processing system are provided for valuing a customer or a customer relationship. Black-Scholes model for determining option value of stocks is adapted for use in valuing customers and customer relationships. Variables of Black-Scholes model are mapped to parameters relating to customers and customer relationships. A customer variance is determined for the customer relationship based on data about several customers. The value of a customer or a customer relationship is then computed by applying the customer variance and the mapped parameters to the Black-Scholes model. The computed value of the customer, or the customer relationship, is used in the decision making process to determine, among other things, which products and services to offer for sale to a customer, what the offering price to the customer should be, how much expenditures are to be allowed for the customer relationship, whether the customer relationship remains viable, perform on-going dynamic evaluation of the customer relationship, allocate marketing and advertising budgets, and suitability of business activities with respect to customers and customer relationships.

US Patent:

20110320606, Dec 29, 2011

Filed:

Jun 29, 2010

Appl. No.:

12/826312

Inventors:

Hari H. Madduri - Austin TX, US
Sudhee N. Subrahmanya - Austin TX, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 15/16
H04L 9/32

US Classification:

709226, 726 1

Abstract:

A method, data processing system, and computer program product for managing resources. A request for resources in the network data processing system is received. The request comprises requested values for a plurality of attributes for the resources in the network data processing system. In response to receiving the request, potential resources in the network data processing system are identified. The request is evaluated using a function configured to generate identified values for the plurality of attributes from the requested values in the request based on proximity scores for the plurality of attributes in the potential resources relative to an ideal allocation of the potential resources and resource weights for the plurality of attributes in the potential resources.

US Patent:

20140289603, Sep 25, 2014

Filed:

Apr 4, 2014

Appl. No.:

14/245507

Inventors:

Sudhee Nagabhushan Subrahmanya - Austin TX, US
Kaushik Nagabhushan - Plano TX, US

International Classification:

G06F 17/24

US Classification:

715230

Abstract:

A method of linking multiple media data using a time line for context and replay is disclosed. The method allows for various kinds of media to be linked and may use a time line to facilitate such linking, either from an existing media file, such as a video clip, or by creating a new file. The time line may be leveraged to start, open, display, or seek to specific points in other unstructured data. The original artifacts of the file are not changed, but the user may be provided the opportunity to view multiple artifacts (like video or an e-book, along with annotations added in by a teacher or friend) together and gain a comprehensive contextual understanding.