Grant Huang

US Patent:

20130117019, May 9, 2013

Filed:

Nov 7, 2011

Appl. No.:

13/291065

Inventors:

David Akopian - San Antonio TX, US
Arsen Melkonyan - San Antonio TX, US
Murillo Pontual - San Antonio TX, US
Grant Huang - San Antonio TX, US
Andreas Robert Gampe - San Antonio TX, US

International Classification:

H04L 12/56
G10L 13/00
G10L 15/26
G06F 15/16

US Classification:

704235, 370394, 709204, 704260, 704E13001, 704E15043

Abstract:

A remote laboratory gateway enables a plurality of students to access and control a laboratory experiment remotely. Access is provided by an experimentation gateway, which is configured to provide secure access to the experiment via a network-centric, web-enabled interface graphical user interface. Experimental hardware is directly controlled by an experiment controller, which is communicatively coupled to the experimentation gateway and which may be a software application, a standalone computing device, or a virtual machine hosted on the experimentation gateway. The remote laboratory of the present specification may be configured for a software-as-a-service business model.

US Patent:

20180035404, Feb 1, 2018

Filed:

Feb 5, 2016

Appl. No.:

15/548870

Inventors:

DAVID AKOPIAN - SAN ANTONIO TX, US
GRANT HUANG - AUSTIN TX, US

Assignee:

Board of Regents, The University of Texas System - Austin TX

International Classification:

H04W 72/00
H04L 1/24
H04L 5/14
H04L 1/16

Abstract:

Disclosed are various embodiments for a system and method of measuring and characterizing a PLC communication network comprising transmitting a plurality of packets from a PLC master device to a PLC terminal device via a PLC communication network, measuring a plurality of round-trip time (RTT) timestamps for the plurality of packets in the PLC master device, determining an observed probability density function based on the plurality of RTT timestamps, approximating a plurality of probability density functions, determining a rating for the probability density functions based on a comparison of the probability density functions to the observed probability density function, characterizing the PLC communication network based on the ratings of the plurality of probability density functions, and scheduling subsequent transmissions based on the characterization of the PLC Communication network.