Su Qing Chen

age ~45

from Vacaville, CA

Get Report

Also known as:

Su Q Chen
Su Qing Ching
Su Qing Chen Ching
Sandy Che

Phone and address:: 1010 Davis St, Vacaville, CA 95687
4153351276

Connected to:

Su Chen Phones & Addresses

1010 Davis St, Vacaville, CA 95687 • 4153351276
Turlock, CA
Portland, OR
31 Italy Ave, San Francisco, CA 94112
Idaho Falls, ID
Daly City, CA
South San Francisco, CA

Resumes

Su Chen

view source

Su Chen

view source

Su Chen

view source

Manager

view source

Work:

Chinamobiletech
Manager

Su Qiong Chen

view source

Su Chen

view source

Skills:

Biotechnology
Ems

Su Chen

view source

Su Jian Chen

view source

Medicine Doctors

Su H Chen, Palo Alto CA - MFT

view source

Specialties:

Marriage & Family Therapy

Address:

430 Sherman Ave Suite 203, Palo Alto, CA 94306

Languages:

English

Su Hsiu Chen, Palo Alto CA

view source

Specialties:

Psychologist

Address:

430 Sherman Ave, Palo Alto, CA 94306

License Records

Su Hong Chen

Address:

San Francisco, CA 94118

License #:

50846 - Active

Issued Date:

Apr 28, 2015

Expiration Date:

Aug 31, 2017

Type:

Architect

Name / Title

Company / Classification

Phones & Addresses

Su Chen
Principal

Hsv Travel
Travel Agency

32 Joyce Ct, Woodland, CA 95776

Su Chen
Principal

Menlo Bbq
Eating Place

555 Willow Rd, Menlo Park, CA 94025
6503216188

Su Chen
Principal, Psychologist

Su Hsiu Chen Mft
College/University

430 Sherman Ave, Palo Alto, CA 94306

Su Chen
President

Chain On Neurotrophin Receptor
Nonclassifiable Establishments

7000 SW Hampton St, Portland, OR 97223

Su Feng Chen
President

JMR LEVEL UP, INC
Nonclassifiable Establishments

1859 17 Ave, San Francisco, CA 94122
1341 Stockton St, San Francisco, CA 94133

Us Patents

Method And Apparatus Of Data Compression For Computer Networks
view source
US Patent:

7558290, Jul 7, 2009
Filed:

Dec 16, 2005
Appl. No.:

11/303651
Inventors:

Antonio Nucci - Burlingame CA, US
Su Chen - Somerset NJ, US
Assignee:

Narus, Inc. - Sunnyvale CA
International Classification:

H04J 3/18
US Classification:

370477
Abstract:

An important component of network monitoring is to collect traffic data which is a bottleneck due to large data size. We introduce a new table compression method called “Group Compression” to address this problem. This method uses a small training set to learn the relationship among columns and group them; the result is a “compression plan”. Based on this plan, each group is compressed separately. This method can reduce the compressed size to 60%-70% of the IP flow logs compressed by GZIP.