Ying Wang

US Patent:

20110033444, Feb 10, 2011

Filed:

Oct 18, 2010

Appl. No.:

12/925264

Inventors:

Alan R. Shuldiner - Columbia MD, US
Braxton D. Mitchell - Towson MD, US
Patrick F. McArdle - Baltimore MD, US
Ying Wang - Columbia MD, US
Sarah E. Dorff - Columbia MD, US

International Classification:

A61K 39/395
A61P 9/12
A61K 38/45
C12Q 1/68
C40B 30/04

US Classification:

4241301, 424 945, 435 6, 506 9

Abstract:

The present invention is drawn to diagnosis and treatment of essential hypertension. In this regard, the present invention discloses genetic variants in a hypertension susceptibility gene Stk39 and its use in the diagnosis and treatment of essential hypertension.

US Patent:

20220191684, Jun 16, 2022

Filed:

Dec 10, 2021

Appl. No.:

17/548309

Inventors:

- Germantown MD, US
Rajeev KUBBA - Germantown MD, US
Ying WANG - Germantown MD, US
Junyu GONG - Germantown MD, US

Assignee:

HUGHES NETWORK SYSTEMS, LLC - Germantown MD

International Classification:

H04W 8/22
H04B 7/185
H04L 41/16
H04W 8/00
H04W 24/02
H04W 24/10

Abstract:

A system and method for identifying devices with WiFi connection incompatibility are described. Data related to connectivity for at least one customer premise equipment (CPE) connected to each terminal in a satellite network is collected in order to generate a set of metrics associated with each of the at least CPE using the collected data. A first set of results indicative of network incompatibility is determined for each of the CPEs. Next, a second set of results indicative of network incompatibility is determined for each CPE using at least one machine learning algorithm. Information indicative of network incompatibility is subsequently generated for each CPE based on the first set of results and the second set of results.

US Patent:

20210395744, Dec 23, 2021

Filed:

Jun 17, 2021

Appl. No.:

17/350114

Inventors:

- Rockville MD, US
Yuebin Tan - Gaithersburg MD, US
Ying Wang - Washington DC, US

International Classification:

C12N 15/113
A61K 31/7088
A61K 38/48
A61K 31/375
A61K 31/4415
A61K 31/714
A61K 31/593
A61K 33/30
A61K 31/198
A61K 36/534
A61P 31/14
C12N 15/86
A23L 33/18

Abstract:

This disclosure is directed to inhibitory oligonucleotides, inhibitory peptides, compositions and methods for preventing or treating Coronavirus disease 2019 (COVID-19). In one aspect, the disclosure is directed to compositions that comprise inhibitory oligonucleotides against one or more SARS-CoV-2 virus genes. In another aspect, the disclosure is directed to compositions that comprise inhibitory peptides that inhibit SARS-COV-2 entry into cells. Another aspect of the disclosure is directed to gene therapy methods for treating COVID-19, and vectors for carrying out the same. Finally, the disclosure provides nutritional supplements to support human immunity and prevent or inhibit viral infections.

US Patent:

20210314073, Oct 7, 2021

Filed:

Dec 24, 2018

Appl. No.:

16/231920

Inventors:

Ying Wang - Herndon VA, US

International Classification:

H04B 17/00
H04B 17/29
H04B 17/19
G01R 31/28
G06K 9/62
G06N 20/00

Abstract:

The implementation of “Machine learning and data analysis for RF testing and other hardware testing” can detect and discover RF test failures by analyzing data from RF calibration station. It can dramatically reduce production cost, optimize production line management, reduce field return cost, improve product quality, and increase precision and accuracy of RF stations on production line. Furthermore, this system providers reference for optimizing hardware configure, improve RF design, and discover indirect potential RF issues. At last, it provides a more thorough understanding of the multi-dimensional RF limits system. With the data collected and analyzed after rolling the system to the production line can be used to deliver a more comprehensive spec for better RF quality. This invention is not limited to cellular stations, but also applies to Bluetooth, WiFi, NFC and other RF stations. This system can also be extended to hardware testing stations other than RF stations with some adjustment.

US Patent:

20210211190, Jul 8, 2021

Filed:

Jan 6, 2020

Appl. No.:

16/735185

Inventors:

- Germantown MD, US
Ying WANG - Germantown MD, US
Shivaram SITARAM - Germantown MD, US

Assignee:

HUGHES NETWORK SYSTEMS, LLC - Germantown MD

International Classification:

H04B 7/185
H04L 5/00
G06N 20/00

Abstract:

An apparatus and method for optimizing selection of data cap limited service plans. A model is created in order to predict bandwidth usage by existing subscribers in a satellite communication system. The model is trained with usage data for all subscribers of the satellite communication system over a predetermined time interval, and used to analyze usage patterns of each subscriber. Bandwidth usage is predicted for each subscriber relative to an existing service plan based, at least one recommendation is generated for optimizing use of bandwidth in the satellite communication system based on the analysis and predicted bandwidth usage.

US Patent:

20210211315, Jul 8, 2021

Filed:

Jan 6, 2020

Appl. No.:

16/735173

Inventors:

- Germantown MD, US
Ying WANG - Germantown MD, US
Shivaram SITARAM - Germantown MD, US

Assignee:

HUGHES NETWORK SYSTEMS, LLC - Germantown MD

International Classification:

H04L 12/14
H04B 7/15
H04L 12/813
H04L 29/08
H04L 12/24

Abstract:

An apparatus and method for data cap management of users exceeding or violating bandwidth policies in a communication system. A model is created for identifying super heavy users, and trained usage data for all current users of the communication system for a predetermined time interval. Usage patterns of each user are analyzed over a second duration using the trained model in order to identify current super heavy users based, at least in part, on the analysis. Traffic flow control restrictions are then applied to some or all of the traffic associated with identified super heavy users.

US Patent:

20200186524, Jun 11, 2020

Filed:

Dec 7, 2018

Appl. No.:

16/212877

Inventors:

- Arlington VA, US
Ying Wang - Herndon VA, US
Satya P. Yandra - Ashburn VA, US

International Classification:

H04L 29/06
G06F 16/27
G06F 16/23

Abstract:

Systems and methods receive a first indication that an Internet of Things (IoT) device is attempting to access a home network; determine that the IoT device is a trusted device; store an identifier associated with the IoT device to a blockchain in response to determining that the IoT device is a trusted device; receive a second indication that an event has occurred with respect to the IoT device; determine whether the event is a major event; and verify the identifier associated with the IoT device by storing an identity and information associated with the event to the blockchain in response to determining that the event is a major event.