Tarun Kumar

US Patent:

20170330444, Nov 16, 2017

Filed:

Nov 27, 2015

Appl. No.:

15/532626

Inventors:

- Morris Plains NJ, US
Anand Tyagaraj - Bangalore, IN
Peter Hsi - Dublin CA, US
Shashikant Gulaguli - Bangalore, IN
James Liu - Livermore CA, US
Patrick Gonia - Maplewood MN, US
Saurabh Shah - Fremont CA, US
Praveen Sharma - Dublin CA, US
Tarun Kumar - Irving TX, US

International Classification:

G08B 25/01
G08B 21/12
G08B 25/10
G08B 21/18
G06F 19/00
G06Q 50/26

Abstract:

Embodiments relate generally to systems and methods for communication between one or more personal protection equipment (PPE) devices, a mobile device, and a central monitoring station. Personnel may wear PPE devices for detection and communication. These portable devices may communicate wirelessly, over a wireless fidelity (Wi-Fi) network, via Bluetooth, or another wireless connection. Systems may include a smartphone application operable to receive and combine information from each of the PPE devices. The application may also display the information to the user. In some embodiments, the application may transfer the data to a cloud storage network via a cellular network. Additionally, the application may communicate the combined data from all of the PPE devices to the central monitoring station.

US Patent:

20150134575, May 14, 2015

Filed:

Nov 13, 2013

Appl. No.:

14/079300

Inventors:

- Mountain View CA, US
Tarun Kumar - Mountain View CA, US
Venu Javarappa - San Jose CA, US
Anmol Bhasin - Los Altos CA, US
Lizabeth Li - Mountain View CA, US
Yurong Shi - San Jose CA, US

Assignee:

LinkedIn Corporation - Mountain View CA

International Classification:

G06N 99/00
G06N 5/04

US Classification:

706 12

Abstract:

The disclosed embodiments relate to a system that uses data from an online social network to optimize subscription offers. During operation of the online social network, the system gathers data associated with subscription offers that were presented to members of the online social network, including information about which subscription offers were converted. Next, the system uses a machine-learning technique to train a model based on the gathered data. Finally, the system uses the trained model to select subscription offers to present to a member of the online social network.