Michelle R Welcks

Address:

6007 N Ithmar Ave, Tampa, FL 33604

VIN:

JTDKB20U873216432

Make:

TOYOTA

Model:

PRIUS

Year:

2007

US Patent:

20190075345, Mar 7, 2019

Filed:

Nov 7, 2018

Appl. No.:

16/183338

Inventors:

- Armonk NY, US
Thomas B. Harrison - Holly Springs NC, US
Nicholas A. McCrory - Sacramento FL, US
Michelle Welcks - Tampa FL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04N 21/25
H04N 21/234
H04N 21/4788
H04N 21/442
H04N 21/45

Abstract:

Social media inputs from users, and specific to a content of a broadcast program, are analyzed to determine a sentiment value expressed relative to a portion of the content by a user. A group is formed of those users whose sentiment values expressed relative to the portion within a defined period during the broadcast of the program are within a specified tolerance value of sentiment value expressed by the user. A time zone of a location extracted from a social media input of the user is assigned to the group. A fabricated event that evokes a predicted sentiment is inserted in the broadcast program. A confidence value for the time zone is computed by comparing a sentiment value of a response by the group to the fabricated event with the predicted sentiment value. The group's placement in the time zone is confirmed when the confidence value exceeds a threshold.

US Patent:

20180338163, Nov 22, 2018

Filed:

May 18, 2017

Appl. No.:

15/598548

Inventors:

- Armonk NY, US
Gary F. Diamanti - Wake Forest NC, US
Nicholas A. McCrory - Sacramento CA, US
Michelle Welcks - Tampa FL, US

International Classification:

H04N 21/235
H04N 21/2187
H04N 21/258
H04N 21/233
H04N 21/222
H04N 21/8545
H04N 21/475

Abstract:

A hardware processor receives a selection of an avatar by users and a transmission of a live video stream from the avatar. The live video stream is transmitted to the users. Votes are received from the users. Each vote is a command to be performed by the avatar. Based on the received votes, a selected command to be performed by the avatar is determined. The selected command is transmitted to the avatar for execution thereby.

US Patent:

20180338164, Nov 22, 2018

Filed:

Dec 15, 2017

Appl. No.:

15/843322

Inventors:

- Armonk NY, US
Gary F. Diamanti - Wake Forest NC, US
Nicholas A. McCrory - Sacramento CA, US
Michelle Welcks - Tampa FL, US

International Classification:

H04N 21/235
H04N 21/8545
H04N 21/475
H04N 21/258
H04N 21/233
H04N 21/222
H04N 21/2187
H04L 29/08

Abstract:

A hardware processor receives a selection of an avatar by users and a transmission of a live video stream from the avatar. The live video stream is transmitted to the users. Votes are received from the users. Each vote is a command to be performed by the avatar. Based on the received votes, a selected command to be performed by the avatar is determined. The selected command is transmitted to the avatar for execution thereby.

US Patent:

20180288455, Oct 4, 2018

Filed:

Mar 28, 2017

Appl. No.:

15/471894

Inventors:

- Armonk NY, US
Thomas B. Harrison - Holly Springs NC, US
Nicholas A. McCrory - Sacramento CA, US
Michelle Welcks - Tampa FL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04N 21/25
H04N 21/442
H04N 21/45
H04N 21/4788
H04N 21/234

Abstract:

Social media inputs from users, and specific to a content of a broadcast program, are analyzed to determine a sentiment value expressed relative to a portion of the content by a user. A group is formed of those users whose sentiment values expressed relative to the portion within a defined period during the broadcast of the program are within a specified tolerance value of sentiment value expressed by the user. A time zone of a location extracted from a social media input of the user is assigned to the group. A fabricated event that evokes a predicted sentiment is inserted in the broadcast program. A confidence value for the time zone is computed by comparing a sentiment value of a response by the group to the fabricated event with the predicted sentiment value. The group's placement in the time zone is confirmed when the confidence value exceeds a threshold.

US Patent:

20180270269, Sep 20, 2018

Filed:

May 22, 2018

Appl. No.:

15/986291

Inventors:

- Armonk NY, US
Aaron K. Baughman - Silver Spring MD, US
Nicholas A. McCrory - Sacramento CA, US
Andeep S. Toor - Chantilly VA, US
Michelle Welcks - Tampa FL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04L 29/06
G06F 17/30

Abstract:

A set and a second set of collections of forecasted feature vectors are selected from a repository for a future time window, a cyber-attack being in progress in a data processing environment at the present time, a collection in the set and a collection in the second set indicating an event related to the cyber-attack in a first region and a second event in a second region, respectively, of the environment at a discrete time. The events corresponding to the collections are classified, using an LTSM network, into a class of cyber-attack. From a mapping between a set of phases of the cyber-attack and a set of classes, a phase that corresponds to the class is predicted as likely to occur during the future time window in the region.

US Patent:

20180191851, Jul 5, 2018

Filed:

Jan 5, 2017

Appl. No.:

15/399725

Inventors:

- Armonk NY, US
Thomas B. Harrison - Holly Springs NC, US
Nicholas A. McCrory - Sacramento CA, US
Michelle Welcks - Tampa FL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

H04L 29/08
H04L 12/26
H04H 60/33
H04L 12/58

Abstract:

Social media inputs specific to a content of a broadcast program and received from a plurality of users are analyzed to determine a sentiment value expressed relative to a portion of the content. A group is formed of those users whose sentiment values expressed relative to the portion of the content are within a specified tolerance value of sentiment value and are expressed within a defined period during the broadcast of the program. A historical data from the inputs unrelated to the content is analyzed to extract an entity. A time zone of a geographical location of the entity is associated with the group. a sentiment of the group expressed relative to the portion of the content is shifted by an amount of time on a program continuum timeline, such that the sentiment of the group aligns with a time when the portion was broadcast in the time zone.

US Patent:

20180046476, Feb 15, 2018

Filed:

Aug 15, 2016

Appl. No.:

15/237589

Inventors:

- Armonk NY, US
Nicholas A. McCrory - Sacramento CA, US
Michelle Welcks - Tampa FL, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/455

Abstract:

An application is deployed on a first cloud from a set of clouds in a hybrid cloud environment. A simulator is deployed on each cloud in the set. A vertical relationship function is computed between a time-series of the application and a time-series of the simulator on the first cloud. A first actual value in the time-series of the application is forecasted for a future time. A horizontal relationship function is computed between a first simulator value in the time-series of the simulator on the first cloud and a second simulator value in the time-series of the simulator on a second cloud. A second actual value in the time-series of a hypothetical deployment of the application on the second cloud is forecasted for the future time without deploying the application on the second cloud. The application is placed on the second cloud when the second actual value satisfies a condition.

US Patent:

20180046520, Feb 15, 2018

Filed:

Aug 15, 2016

Appl. No.:

15/237574

Inventors:

- Armonk NY, US
John S. Cope - Richmond VA, US
Michelle Welcks - Tampa FL, US
Brian M. O'Connell - Cary NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/50
H04L 29/08

Abstract:

A content of a social media data is analyzed. The social media data relates to a workload that is to be located on a node. A location corresponding to the social media data is computed. The social media data is regarded as originating from the location. A set of nodes is selected by computing a social distance objective function, the set of nodes includes the node. Each node in the set of nodes is located within a range of distances specified by the social distance objective function. A first subset of nodes is removed from the set of nodes, where the first subset of nodes fails to satisfy another objective function. In response to a second subset of nodes satisfying the social distance objective function and the other objective function, the node is selected from the second subset and the workload is deployed on the node.