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Dong Liu

from Forest Hills, NY
Age ~64
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Also known as:
Don G Liu
Related to:
Cathy Hui Liu, 61Pei Liu, 49Ying Yan Guan, 56Xiu L Li, 49Wen Y Lin, 49Hui Li, 53Jenny LiuJin Liu
Connected to:
Adela Liu, 73Alec X Liu, 39Alpha T Liu, 46Amon Y Liu, 58Andrea Y Liu, 46Anqi Liu, 39Arden K Liu, 64Ba S Liu, 62Bailu Liu, 35Ban Liu, 48

Dong Liu Phones & Addresses

  • Forest Hills, NY
  • Woodhaven, NY

Professional Records

Medicine Doctors

Dong Liu Photo 1

Dong Feng Liu

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Specialties:
Pathology
Anatomic Pathology & Clinical Pathology
Geriatric Medicine
Diagnostic Laboratory Immunology
Education:
Henan Medical University (1983)

Lawyers & Attorneys

Dong Liu Photo 2

Dong Liu - Lawyer

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Office:
Jin Mao Law Firm
Specialties:
Corporate Law
ISLN:
916143907
Admitted:
1994
Law School:
East China University of Politics & Law, LL.M.; Nan Jing University, LL.B., 1992; University of Southamp-ton, U.K., LL.M.

Business Records

Name / Title
Company / Classification
Phones & Addresses
Dong M. Liu
President
T & J International Inc
Ret Luggage/Leather Goods
3370 Prince St, Flushing, NY 11354
(718) 710-8171
Dong Liu
Manager
D & Z Energy, LLC
Dong Liu
Research Scientist, Senior
GRAPHICS PROPERTIES HOLDINGS, INC
Mfg Electronic Computers Mfg Semiconductors/Dvcs Mfg Photo Equip/Supplies
56 Harrison St STE 203A, New Rochelle, NY 10801
1140 E Arques Ave, Sunnyvale, CA 94085
37600 Central Ct, Newark, CA 94560
(510) 713-7133
Dong Ming Liu
FOREVER BEAUTY INC
133-36 41 Rd, Flushing, NY 11355
133-36 41 Rd 8B, Flushing, NY 11355
Dong Qing Liu
LIFE-FORCE INC
133-20 Blossom Ave / 2, Flushing, NY 11355

Publications

Isbn (Books And Publications)

Ca Ca: Zang Chuan Fo Jiao Mo Zhi Ni Fo Xiang = Satsatsha = Tsha Tsha, Tibetan Clay Molded Buddhist Images

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Author

Dong Liu

ISBN #

7530513117

Us Patents

Method And Apparatus For Active Speaker Selection Using Microphone Arrays And Speaker Recognition

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US Patent:
8503653, Aug 6, 2013
Filed:
Mar 3, 2008
Appl. No.:
12/074276
Inventors:
Sudhir Raman Ahuja - Little Silver NJ, US
Jingdong Chen - North Plainfield NJ, US
Yiteng Arden Huang - North Plainfield NJ, US
Dong Liu - Piscataway NJ, US
Qiru Zhou - Scotch Plains NJ, US
Assignee:
Alcatel Lucent - Paris
International Classification:
H04M 3/42
H04M 1/00
H04L 12/16
H04Q 11/00
US Classification:
37920201, 379158, 370260, 455416
Abstract:
A method and apparatus for performing active speaker selection in teleconferencing applications illustratively comprises a microphone array module, a speaker recognition system, a user interface, and a speech signal selection module. The microphone array module separates the speech signal from each active speaker from those of other active speakers, providing a plurality of individual speaker's speech signals. The speaker recognition system identifies each currently active speaker using conventional speaker recognition/identification techniques. These identities are then transmitted to a remote teleconferencing location for display to remote participants via a user interface. The remote participants may then select one of the identified speakers, and the speech signal selection module then selects for transmission the speech signal associated with the selected identified speaker, thereby enabling the participants at the remote location to listen to the selected speaker and neglect the speech from other active speakers.

Structural Health Monitoring System And Method

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US Patent:
20210156759, May 27, 2021
Filed:
Nov 25, 2020
Appl. No.:
17/105414
Inventors:
- HOBOKEN NJ, US
Dong Liu - Hoboken NJ, US
International Classification:
G01M 5/00
B23K 31/12
Abstract:
The present invention relates to nonlinear Vibro-Acoustic Modulation (VAM), one of the prevailing nonlinear methods for material characterization and structural damage evaluation. An algorithm of AM/FM separation is presented specifically for VAM method. While the commonly used Hilbert transform (HT) separation may not work for a typical VAM scenario, the developed IQHS and SPHS algorithms address HT shortcomings. They have been tested both numerically and experimentally (for fatigue cracks evolution) showing FM dominance at the initial micro-crack growth stages and transition to AM during macro-crack formation. In addition, the SPHS algorithm is capable of detecting fatigue crack via monitoring of modulation phase.
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Dong Liu from Forest Hills, NY, age ~64 Get Report