Liang L Zhang

US Patent:

6868517, Mar 15, 2005

Filed:

Apr 8, 2002

Appl. No.:

10/118504

Inventors:

Weishi Feng - San Jose CA, US
Liang Zhang - Union City CA, US
Zhan Yu - Sunnyvale CA, US

Assignee:

Marvell International Ltd. - Hamilton

International Classification:

H03M013/29
H03M013/23

US Classification:

714758, 714763, 714765, 714769, 714781

Abstract:

Method and apparatus for detecting errors in data read from a data storage medium include an error correction step/device which receives at least one of (i) data and (ii) data with errors, from the data storage medium, and outputs an error sequence in a first order in the case where data with errors is received. A first CRC step/device receives the at least one of (i) data and (ii) data with errors from the data storage medium, and outputs a CRC checksum in a second order different from said first order. A second CRC step/device receives both the error sequence and the CRC checksum, and outputs another CRC checksum indicative of whether the correction device or step has generated a correct error sequence. Preferably, a first CRC is coupled parallel to a Reed-Soloman decoder, and a second CRC is coupled in series with the first CRC and so as to receive the output of the R-S decoder. The second CRC will thus be able to detect errors in the output of the R-S decoder, and provide an error signal which will cause the erroneous data to be reread.

US Patent:

6877141, Apr 5, 2005

Filed:

Apr 1, 2003

Appl. No.:

10/405767

Inventors:

Indradeep Ghosh - San Jose CA, US
Koichiro Takayama - Cupertino CA, US
Liang Zhang - Blacksburg VA, US

Assignee:

Fujitsu Limited - Kawasaki

International Classification:

G06F017/50

US Classification:

716 4, 716 5, 716 18

Abstract:

Evaluating a validation vector includes receiving a network having nodes and a target set that includes one or more nodes of the network. The following steps are repeated until the nodes of the target set have been selected. A node is selected from the target set, and a tag is assigned to the node, where the tag represents an error of a value of a variable corresponding to the node. A test environment specifying a propagation path from an input, through the node, and to an output is generated. The test environment is translated into a validation vector, and the tag is propagated to the output according to the validation vector. After repeating the steps, coverage for the validation vectors is determined in accordance with the propagation to evaluate the one or more validation vectors.

US Patent:

7139929, Nov 21, 2006

Filed:

Apr 1, 2003

Appl. No.:

10/405768

Inventors:

Indradeep Ghosh - San Jose CA, US
Liang Zhang - Blacksburg VA, US

Assignee:

Fujitsu Limited - Kawasaki

International Classification:

G06F 11/00

US Classification:

714 4

Abstract:

Generating a test environment includes accessing initial test environments for a network of nodes, where a test environment specifies a propagation or justification path for a node. The following are repeated until satisfactory coverage is achieved or until a predetermined number of iterations is reached. A coverage for each test environment is calculated, and at least two of the test environments are mated to generate next test environments, where the coverage of the at least two test environments is greater than the coverage of the other test environments.

US Patent:

7168014, Jan 23, 2007

Filed:

Apr 1, 2003

Appl. No.:

10/405766

Inventors:

Indradeep Ghosh - San Jose CA, US
Koichiro Takayama - Cupertino CA, US
Liang Zhang - Blacksburg VA, US

Assignee:

Fujitsu Limited - Kawasaki

International Classification:

G01R 31/28

US Classification:

714712, 716 4

Abstract:

Propagating an error through a network includes receiving a network having propagation paths and nodes, where a propagation path has one or more nodes and a node is associated with a variable operable to have a value during simulation. A tag of a tag set is assigned to the value. The tag set includes at least two signed tags, positive tag representing a positive error and a negative tag representing a negative error, and an unsigned tag representing an error having an unknown sign. The tag is propagated along the propagation path to yield intermediate tags, where at least one intermediate tag is an unsigned tag formed from at least two signed tags. A final tag is determined in accordance with the intermediate tags in order to propagate an error through the network.

US Patent:

7310765, Dec 18, 2007

Filed:

Feb 4, 2005

Appl. No.:

11/049753

Inventors:

Weishi Feng - San Jose CA, US
Liang Zhang - Union City CA, US
Zhan Yu - Sunnyvale CA, US

Assignee:

Marvell International Ltd. - Hamilton

International Classification:

H03M 13/23
H03M 13/29

US Classification:

714763, 714758, 714765, 714781

Abstract:

A system for detecting errors in received input data includes a first error detection circuit. The first error detection circuit is configured to receive the input data. The input data includes at least one of data and data with errors. The first error detection circuit is configured to generate a first error detection sequence in a first order. The system includes a second error detection circuit. The second error detection circuit is configured to receive the first error detection sequence and an error sequence. The error sequence is received in a second order that is different from the first order when there is data with errors. The second error detection circuit is configured to generate a second error detection sequence that indicates whether the error sequence is generated correctly.

US Patent:

20120144016, Jun 7, 2012

Filed:

Dec 2, 2010

Appl. No.:

12/959069

Inventors:

Liang ZHANG - Santa Clara CA, US
Anirban DASGUPTA - Albany CA, US
Belle L. TSENG - Cupertino CA, US
Benjamin GRAHAM - Sunnyvale CA, US
Arun A. PRAKASH - Bangalore, IN

Assignee:

YAHOO! INC - Sunnyvale CA

International Classification:

G06F 15/173

US Classification:

709224

Abstract:

Embodiments presented herein provide methods, systems and computer program products for determining a count of network users. One method identifies one or more login access requests, from one or more server logs. Each of the one or more login access requests comprises a login cookie, and a user identifier. The method then forms one or more connected components based on the one or more login access requests. Each connected component comprises one or more user identifiers, wherein each of the one or more user identifiers is associated with one or more login cookies. The method finally determines a count of login users based, at least in part, on the user identifiers in the one or more connected components.

US Patent:

20130097005, Apr 18, 2013

Filed:

Oct 12, 2011

Appl. No.:

13/271935

Inventors:

Jie Yang - Santa Clara CA, US
Liang Zhang - Fremont CA, US
Belle Tseng - Cupertino CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06Q 30/02

US Classification:

705 1439, 705 141

Abstract:

Techniques for providing group discounts are described. A group discount package is configured by associating a plurality of different items with the package, associating a discount price with each item, and associating a threshold value with at least one item. One or more actions that have corresponding threshold values may also be associated with the package. The group discount package may be offered by enabling users to request to purchase items associated with the package. Each user may request to purchase one or more of the items associated with the package at the associated discount price. Furthermore, the users may be enabled to perform any actions associated with the package. A deal with the package is confirmed when each associated threshold value is met.

US Patent:

20130159227, Jun 20, 2013

Filed:

Feb 14, 2013

Appl. No.:

13/767695

Inventors:

Yahoo! Inc. - Sunnyvale CA, US
Liang Zhang - Fremont CA, US
Maxim Gurevich - Cupertino CA, US
Achint Oommen Thomas - Sunnyvale CA, US
Belle Tseng - Cupertino CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06N 99/00

US Classification:

706 12

Abstract:

Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.