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Archana M Gharpuray

from Gaithersburg, MD
Age ~63

Archana Gharpuray Phones & Addresses

  • 204 Rabbitt Rd, Gaithersburg, MD 20878 (301) 330-4549
  • Menlo Park, CA
  • 204 Rabbitt Rd, Gaithersburg, MD 20878

Work

Company: Hughes network systems Sep 1988 Position: Vice president, software engineering

Education

Degree: MS School / High School: Kansas State University 1985 to 1986 Specialities: Electrical Engineering

Skills

Wireless • Program Management • Embedded Systems • Integration • System Architecture • Clearcase • Satellite Communications • Systems Engineering • Telecommunications • Software Development • Software Engineering • Embedded Software • Gsm • Tcp/Ip • Ip • Device Drivers • Voip • Snmp • Perl • Sip • Linux • Digital Signal Processors • Cdma

Emails

a***y@aol.com

Industries

Telecommunications

Public records

Vehicle Records

Archana Gharpuray

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Address:
204 Rabbitt Rd, Gaithersburg, MD 20878
Phone:
(301) 330-4549
VIN:
WBANF33597CS39744
Make:
BMW
Model:
5 SERIES
Year:
2007

Resumes

Resumes

Archana Gharpuray Photo 1

Assistant Vice President Software Engineering

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Location:
Washington, DC
Industry:
Telecommunications
Work:
Hughes Network Systems since Sep 1988
Vice President, Software Engineering
Education:
Kansas State University 1985 - 1986
MS, Electrical Engineering
University of Pune
BS, Electronics & Telecommunications
Skills:
Wireless
Program Management
Embedded Systems
Integration
System Architecture
Clearcase
Satellite Communications
Systems Engineering
Telecommunications
Software Development
Software Engineering
Embedded Software
Gsm
Tcp/Ip
Ip
Device Drivers
Voip
Snmp
Perl
Sip
Linux
Digital Signal Processors
Cdma

Publications

Us Patents

Frequency Tuning For Satellite Ground Stations

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US Patent:
54716578, Nov 28, 1995
Filed:
Dec 4, 1992
Appl. No.:
7/986845
Inventors:
Archana M. Gharpuray - Gaithersburg MD
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
H04B 7185
US Classification:
455 121
Abstract:
A satellite communications network tuning system which consumes very little communications bandwidth is disclosed. The network has a first terminal for transmitting and receiving signals, a second terminal in communication with the first for transmitting signals and a satellite for receiving signals from the terminals and retransmitting them. The frequency of the retransmitted signals is offset from the frequency at which the signals were received. A method according to the present invention for compensating the transmit frequency of the second terminal for the satellite frequency offset comprises transmitting a signal from the first terminal to the satellite at a first frequency, receiving the retransmitted signal from the satellite at the first terminal at a second frequency, the second frequency being offset from the first frequency by the satellite, measuring, at the first terminal, the difference between the first frequency and the second frequency to obtain an offset, transmitting the offset from the first terminal to the second terminal, and adjusting the transmit frequency of the second terminal using the offset.

Dynamic Switching Of Satellite Inroute Data Path Between A Time-Division Multiple Access Method And A Time Division Multiplex Method

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US Patent:
20220376776, Nov 24, 2022
Filed:
Aug 3, 2022
Appl. No.:
17/880514
Inventors:
- Germantown MD, US
Ramanathan Thirunallaih - Frederick MD, US
Akshaya Hosalli Mukund - Gaithersburg MD, US
Archana Gharpuray - Gaithersburg MD, US
International Classification:
H04B 7/185
H04W 76/25
H04W 76/30
H04B 7/26
Abstract:
Some implementations of the disclosure relate to dynamic switching of a satellite inroute data path between a Time Division Multiple Access (TDMA) method and a Time Division Multiplexing (TDM) method. In one implementation, a satellite terminal comprises one or more processors; and one or more non-transitory computer-readable storage media configured with instructions executable by the one or more processors to cause the satellite terminal to perform operations comprising: communicating, using the satellite terminal, over an inroute TDM channel; determining, based on an ingress traffic rate to the satellite terminal or a determination that the satellite terminal has not received any traffic flows classified for communication using TDM, to switch communications from the inroute TDM channel to an inroute TDMA channel; and after determining to switch communications, switching, at the satellite terminal, from communicating over the inroute TDM channel to communicating over the inroute TDMA channel.

Machine Learning Models For Adjusting Communication Parameters

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US Patent:
20210399794, Dec 23, 2021
Filed:
Sep 3, 2021
Appl. No.:
17/466719
Inventors:
- Germantown MD, US
Archana Gharpuray - Germantown MD, US
John Kenyon - Germantown MD, US
International Classification:
H04B 7/185
H04W 4/02
G06N 20/00
H04W 72/04
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine learning models for adjusting communication parameters. In some implementations, data for each device in a set of multiple communication devices is obtained. A machine learning model is trained based on the obtained data. The model can be trained to receive an indication of a geographic location and predict a communication setting capable of providing at least a minimum level of efficiency. After training the machine learning model, an indication of a predicted communication setting for a particular communication device is generated. A determination is then made whether to change a current communication setting for the particular communication device based on the predicted communication setting.

Machine Learning Models For Detecting The Causes Of Conditions Of A Satellite Communication System

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US Patent:
20210143532, May 13, 2021
Filed:
Jan 22, 2021
Appl. No.:
17/155359
Inventors:
- Germantown MD, US
Archana Gharpuray - Germantown MD, US
John Kenyon - Germantown MD, US
International Classification:
H01Q 1/28
G01C 21/20
G06K 9/46
H04B 7/185
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

Efficient Inroute (Return Channel) Load Balancing Scheme Of Guaranteed Qos Traffic Mixed With Best Effort Traffic In An Oversubscribed Satellite Network

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US Patent:
20210037419, Feb 4, 2021
Filed:
Oct 19, 2020
Appl. No.:
17/074462
Inventors:
- Germantown MD, US
Archana GHARPURAY - Germantown MD, US
Assignee:
HUGHES NETWORK SYSTEMS, LLC - Germantown MD
International Classification:
H04W 28/08
H04W 28/10
H04W 28/24
H04W 28/02
Abstract:
A method for balancing inroute traffic load that contains both guaranteed QoS and best effort traffic. Hierarchical grouping levels are defined with the lowest level corresponding to inroutes within the system. Certain levels have common symbol rates, modulation rates, or both. When a new terminal requires admission, it is assigned to entries in the different hierarchical levels so that the inroute traffic load across all levels are balanced. Terminals are admitted to inroutes based, in part, on their channel quality indicator. Inroute traffic load can periodically rebalance based on elapsed time or terminal redistribution.

Machine Learning Clustering Models For Determining The Condition Of A Communication System

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US Patent:
20200410300, Dec 31, 2020
Filed:
Aug 6, 2020
Appl. No.:
16/987028
Inventors:
- Germantown MD, US
Archana Gharpuray - Germantown MD, US
John Kenyon - Germantown MD, US
International Classification:
G06K 9/62
G06N 20/00
G06F 9/54
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning clustering models to determine conditions a satellite communication system. In some implementations, feature vectors for a time period are obtained. Each feature vector includes feature values that represent properties of a satellite communication system at a respective time during the time period. Each feature vector is provided as input to a machine learning model that assigns the feature vector to a based on the properties of the satellite communication system represented by the feature vector. Each cluster corresponds to a respective potential operating condition of the satellite communication system. Data is generated that indicates a likelihood that each potential operating condition is the actual operating condition based on a quantity of the feature vectors that have been assigned to the cluster corresponding to the potential operating condition during the time period.

Efficient Inroute (Return Channel) Load Balancing Scheme Of Guaranteed Qos Traffic Mixed With Best Effort Traffic In An Oversubscribed Satellite Network

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US Patent:
20200245192, Jul 30, 2020
Filed:
Jan 25, 2019
Appl. No.:
16/258172
Inventors:
- Germantown MD, US
Archana GHARPURAY - Germantown MD, US
Assignee:
HUGHES NETWORK SYSTEMS, LLC - Germantown MD
International Classification:
H04W 28/08
H04W 28/10
H04W 28/02
H04W 28/24
Abstract:
A method for balancing inroute traffic load that contains both guaranteed QoS and best effort traffic. Hierarchical grouping levels are defined with the lowest level corresponding to inroutes within the system. Certain levels have common symbol rates, modulation rates, or both. When a new terminal requires admission, it is assigned to entries in the different hierarchical levels so that the inroute traffic load across all levels are balanced. Terminals are admitted to inroutes based, in part, on their channel quality indicator. Inroute traffic load can periodically rebalance based on elapsed time or terminal redistribution.

Machine Learning Models For Detecting The Causes Of Conditions Of A Satellite Communication System

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US Patent:
20200194876, Jun 18, 2020
Filed:
Dec 16, 2019
Appl. No.:
16/715411
Inventors:
- Germantown MD, US
Archana Gharpuray - Germantown MD, US
John Kenyon - Germantown MD, US
International Classification:
H01Q 1/28
H04B 7/185
G06K 9/46
G01C 21/20
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.
Archana M Gharpuray from Gaithersburg, MD, age ~63 Get Report