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Jin Yu Yang

from Naples, FL
Age ~73
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Also known as:
Jin Y Yang, Jinyu Yang
Phone and address:
1325 Creech Rd, Naples, FL 34103
(917) 355-6238
Related to:
Chun Yang, 50Wen G Yang, 67Lin Xing, 53Yong Yang, 58Jin Yang Zu, 71Jin Lin, 49Guo X YangSau C Lo, 60Yuerong Lin, 44Xing J Yang, 46Meiqin Yang, 39Lin S GuanCheh Juan LinFang Yang Fen, 35Zhong Z Lin, 50Cheh Juan Lin, 66Xing Y Yang, 43Yong LinZu J YangXia Lin, 36Sun LinLanbing Yang, 37
Connected to:
Adeel J Yang, 39Ah W Yang, 43Aifang Yang, 55Ajax H Yang, 46Alanna K Yang, 41Alex Yang, 71Allan Yang, 36Alvin Yang, 62Aly Yang, 36Amber Yang, 38

Jin Yang Phones & Addresses

  • 1325 Creech Rd, Naples, FL 34103 (917) 355-6238
  • Lake Hiawatha, NJ

Professional Records

Lawyers & Attorneys

Jin Yang Photo 1

Jin Mo Yang - Lawyer

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Licenses:
Virginia - Authorized to practice law 2007

Medicine Doctors

Jin Yang Photo 2

Jin Yang

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Specialties:
Emergency Medicine
Work:
Clearview Regional Medical Center Emergency Room
2151 W Spg St, Monroe, GA 30655
(770) 267-8461 (phone), (770) 267-1709 (fax)
Education:
Medical School
Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China
Graduated: 1983
Procedures:
Cardioversion
Electrocardiogram (EKG or ECG)
Conditions:
Abdominal Aortic Aneurysm
Abdominal Hernia
Abnormal Vaginal Bleeding
Acute Bronchitis
Acute Conjunctivitis
Languages:
English
Spanish
Description:
Dr. Yang graduated from the Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China in 1983. He works in Monroe, GA and specializes in Emergency Medicine. Dr. Yang is affiliated with Barrow Regional Medical Center and Clearview Regional Medical Center.
Jin Yang Photo 3

Jin Q. Yang

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Specialties:
Family Medicine
Work:
Nasir & Lin Mds
500 N Garfield Ave STE 110, Monterey Park, CA 91754
(626) 288-8900 (phone), (626) 288-0092 (fax)
Education:
Medical School
Xian Med Univ, Xian City, Shaanxi, China
Graduated: 1985
Conditions:
Acne
Acute Sinusitis
Allergic Rhinitis
Benign Prostatic Hypertrophy
Contact Dermatitis
Languages:
Chinese
English
Spanish
Description:
Dr. Yang graduated from the Xian Med Univ, Xian City, Shaanxi, China in 1985. He works in Monterey Park, CA and specializes in Family Medicine. Dr. Yang is affiliated with Garfield Medical Center and San Gabriel Valley Medical Center.

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jin Yang
Principal Engineering
Cellco Partnership
Radiotelephone Communications
1 Verizon Way, Basking Ridge, NJ 07920
Jin Yang
Principal Engineering
Cellco Partnership
Radiotelephone Communications
1 Verizon Way, Basking Ridge, NJ 07920
Jin Hua Yang
GAO YANG ENTERPRISE, INC
Jin Yang
Owner, Principal
Cheung On Kan Tin Doa Foundati
Religious Organization
101 Canal St, New York, NY 10002
Jin Yang
Managing Director
KEB NY FINANCIAL CORP
Banking · Short-Term Business Credit Institution
460 Park Ave, 14, New York, NY 10022
460 Park Ave, New York, NY 10022
(212) 838-4949, (212) 350-7400
Jin Hua Yang
YANG'S INTERNATIONAL FOOD COURT, INC
Jin Yang
Principal
Yang Jin
Nonclassifiable Establishments
372 Grand Ave, Leonia, NJ 07605

Publications

Us Patents

Localized Media Offload

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US Patent:
20110185049, Jul 28, 2011
Filed:
Jan 28, 2010
Appl. No.:
12/695208
Inventors:
Praveen Atreya - Jersey City NJ, US
Kalyani Bogineni - Hillsborough NJ, US
Jin Yang - Orinda CA, US
Assignee:
VERIZON PATENT AND LICENSING, INC. - Basking Ridge NJ
International Classification:
G06F 15/177
US Classification:
709222
Abstract:
A method includes receiving, by an Internet Protocol (IP) anchor point, a session request to a network originating from a user equipment (UE); assigning an IP address to the UE; determining whether a reverse IP address registration is permitted to a first network device, wherein the reverse IP address registration permits a media flow associated with the IP address and the UE to omit traversing the IP anchor point; and assigning an ownership of the IP address to the first network device when reverse IP address registration is permitted.

Interference Management

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US Patent:
20130065599, Mar 14, 2013
Filed:
Nov 7, 2012
Appl. No.:
13/670989
Inventors:
Verizon Patent and Licensing Inc. - Basking Ridge NJ, US
Jin Yang - Orinda CA, US
Matthew W. Nelson - Pleasanton CA, US
Assignee:
Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:
H04W 16/18
US Classification:
455446
Abstract:
In a network containing a macro base station and wireless access points within the range of the macro base station, information from wireless access points are used to change the quantity of almost blank subframes delivered by the macro base station, adjust the cell range extension area of one or more of the wireless access points, or provide instructions to alter the number of wireless access points. The information is analyzed. The analysis allows determination of a capacity gain associated with using the wireless access points within an area associated with the macro base station and whether the capacity gain provides at least a threshold amount of gain permitting the macro base station and the wireless access points to provide service to mobile devices within the area.

Systems And Methods For Authentication Based On Dynamic Radio Frequency Response Information

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US Patent:
20230116207, Apr 13, 2023
Filed:
Oct 8, 2021
Appl. No.:
17/450389
Inventors:
- Basking Ridge NJ, US
Greg Augustus RUSU - Somerset NJ, US
Jin YANG - Orinda CA, US
Krishna K. BELLAMKONDA - Flower Mound TX, US
Assignee:
Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:
H04W 12/68
H04W 12/08
H04W 12/06
Abstract:
In some implementations, a system may obtain dynamic radio frequency (RF) response information associated with a user equipment and additional dynamic information associated with the user equipment. The system may determine, based on the dynamic RF response information and the additional dynamic information, a current behavior profile of the user equipment. The system may compare the current behavior profile and a baseline behavior profile of the user equipment to generate comparison information. The system may grant or deny, based on the comparison information, the user equipment access to a resource of a private network.

Systems And Methods For Determining A Mobility Rating Of A Base Station

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US Patent:
20210160848, May 27, 2021
Filed:
Feb 4, 2021
Appl. No.:
17/248714
Inventors:
- Basking Ridge NJ, US
Ahmed MOUSSA - Basking Ridge NJ, US
Jin YANG - Orinda CA, US
Vijay T. MADHAV - Houston TX, US
Daniel J. SCHMIDT - Pewaukee WI, US
Assignee:
Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:
H04W 72/04
H04W 16/28
H04W 24/08
Abstract:
A device may determine a coverage area associated with a base station. The device may determine a handover weight associated with one or more user equipments (UEs) connected to the base station in the coverage area, wherein the handover weight indicates a degree of mobility of the one or more UEs. The device may identify a geographic region associated with the coverage area and may determine information concerning the geographic region that includes information concerning one or more roads in the geographic region. The device may determine a mobility rating associated with the coverage area based on the handover weight or the information concerning the geographic region. The device may select a beam management profile based on the mobility rating and may send the beam management profile to a different device to allow the different device to control the base station according to the beam management profile.

Method And Device For Selecting A Network Mode For An Internet Of Things Device

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US Patent:
20210092785, Mar 25, 2021
Filed:
Dec 4, 2020
Appl. No.:
17/247240
Inventors:
- Basking Ridge NJ, US
Jeremy NACER - Denville NJ, US
Sachin KAMAT - East Brunswick NJ, US
David G. GREINER - New Hyde Park NY, US
Nanjun QIAN - Princeton NJ, US
Ye HUANG - San Ramon CA, US
Jin YANG - Orinda CA, US
Assignee:
Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:
H04W 76/14
H04W 4/70
H04W 52/02
H04W 8/00
H04W 4/80
Abstract:
An Internet of Things (IoT) device may receive a network configuration profile including one or more parameters relating to a scan interval and a mode priority of the IoT device indicating a priority for a first IoT network over a second IoT network. The IoT device may scan for an availability of the first IoT network. Based on determining that the first IoT network is unavailable, the IoT device may scan for an availability of the second IoT network. Based on determining that the second IoT network is available, the IoT device may initiate a network connection with the second IoT network. While connected to the second IoT network, the IoT device may scan for the availability of the first IoT network. Based on determining that the first IoT network is available, the IoT device may initiate a network connection with the first IoT network.

Systems And Methods For Determining A Mobility Rating Of A Base Station

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US Patent:
20210084636, Mar 18, 2021
Filed:
Sep 13, 2019
Appl. No.:
16/570026
Inventors:
- Arlington VA, US
Ahmed MOUSSA - Basking Ridge NJ, US
Jin YANG - Orinda CA, US
Vijay T. MADHAV - Houston TX, US
Daniel J. SCHMIDT - Pewaukee WI, US
International Classification:
H04W 72/04
H04W 16/28
H04W 24/08
Abstract:
A device may determine a coverage area associated with a base station. The device may determine a handover weight associated with one or more user equipments (UEs) connected to the base station in the coverage area, wherein the handover weight indicates a degree of mobility of the one or more UEs. The device may identify a geographic region associated with the coverage area and may determine information concerning the geographic region that includes information concerning one or more roads in the geographic region. The device may determine a mobility rating associated with the coverage area based on the handover weight or the information concerning the geographic region. The device may select a beam management profile based on the mobility rating and may send the beam management profile to a different device to allow the different device to control the base station according to the beam management profile.

Automatically Optimize Parameters Via Machine Learning

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US Patent:
20190068443, Feb 28, 2019
Filed:
Aug 23, 2017
Appl. No.:
15/684760
Inventors:
- Plano TX, US
Jin Yang - Bridgewater NJ, US
Xin Li - Xian, CN
Assignee:
Futurewei Technologies, Inc. - Plano TX
International Classification:
H04L 12/24
H04W 24/02
G06N 99/00
Abstract:
The disclosure relates to technology for configuring parameters in a wireless communications network. Parameter configurations resulting in a change to key quality indicator (KQI) and key performance indicator (KPI) measurements are determined based on collected data samples. The data samples are divided into subsets including a first subset including the data samples associated with the parameter configurations failing to result in the change to the KQI and KPI measurements, and a second subset including the data samples associated with the parameter configurations resulting in the change to the KQI and KPI measurements dependent upon satisfying conditions in the wireless communications network. The subsets of the data samples are then determined for using machine learning to optimize the parameter configurations, and subsets of the data samples are provided as an input to machine learning for the parameter configurations to optimize the wireless communications network.

System And Method For Deep Learning And Wireless Network Optimization Using Deep Learning

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US Patent:
20190014488, Jan 10, 2019
Filed:
Jul 6, 2017
Appl. No.:
15/643266
Inventors:
- Plano TX, US
Jin Yang - Bridgewater NJ, US
Qitao Song - Shanghai, CN
Yunjun Chen - Shenzhen, CN
Zhangxiang Ye - Shanghai, CN
International Classification:
H04W 24/02
G06N 3/08
Abstract:
A neural network is trained using deep reinforcement learning (DRL) techniques for adjusting cell parameters of a wireless network by generating a plurality of experience tuples, and updating the neural network based on the generated experience tuples. The trained neural network may be used to select actions to adjust the cell parameters. Each experience tuple includes a cell identifier, a first state, a second state, an action applied to the cell that moves the cell from the first state to the second state, a local reward, and a global reward. The neural network is updated based on whether or not each action is acceptable, which is determined based on the global reward and the local reward associated with each action.
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Jin Yu Yang from Naples, FL, age ~73 Get Report