Fang Ling Lu

US Patent:

20090327019, Dec 31, 2009

Filed:

Jun 25, 2008

Appl. No.:

12/145631

Inventors:

Martinez Vencia Addae - Falls Church VA, US
Fang Lu - Billerica MA, US
Vandana Mallempati - Austin TX, US
Jehan Moghazy - Arlington VA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 9

Abstract:

A method, programmed medium and system are provided in which a user has an option to prioritize meetings and individuals who have access to the user's calendar. The disclosed exemplary embodiments provide for prioritizing meetings and allowing a certain set of favorite people see the availability based on priority. Users are enabled to designate specific individuals and corresponding priority levels for the designated individuals who have access to the user's calendar. A high priority user is enabled to schedule a meeting on other users' calendars based on the priority level of the scheduling user. The system automatically determines the priority level of the scheduling user and displays calendars of other invited users by displaying only other scheduled meetings which have a higher priority level thereby enabling automatic priority level scheduling for all users of the calendar system.

US Patent:

20190324519, Oct 24, 2019

Filed:

Apr 19, 2018

Appl. No.:

15/957558

Inventors:

- Armonk NY, US
Tushar Kumar Jayantilal - Coppell TX, US
Fang Lu - Billerica MA, US
Ishwarya Rajendrababu - Hobooken NJ, US

International Classification:

G06F 1/32
H04L 29/08
G06F 9/445

Abstract:

A method, system and computer program product for providing social-geofenced-based application management for battery maximization. Social traffic information is collected for a defined cohort of persons within one or more predefined geofences, wherein the defined cohort of persons is based on one or more individual or group attributes, and the social traffic information includes battery usage for devices used by the defined cohort of persons. The social traffic information is analyzed to classify conditions derived therefrom into one or more categories. Application performance is controlled on a user's device, based on the conditions classified into the categories, to optimize battery usage of the user's device.