Robert William Liston

Author:

Robert Liston

ISBN #:

0812506162

Author:

Robert A. Liston

ISBN #:

0070380643

Author:

Robert A. Liston

ISBN #:

0070380678

Author:

Robert A. Liston

ISBN #:

0275258203

Author:

Robert A. Liston

ISBN #:

0285502417

Author:

Robert A. Liston

ISBN #:

0385028032

Author:

Robert A. Liston

ISBN #:

0385029942

Author:

Robert A. Liston

ISBN #:

0385036205

US Patent:

7400638, Jul 15, 2008

Filed:

Apr 20, 2004

Appl. No.:

10/828380

Inventors:

Joe Keirouz - Fremont CA, US
Simeon Ngo Sy - San Jose CA, US
Robert Edward Liston - Menlo Park CA, US

Assignee:

Tellabs San Jose, Inc. - San Jose CA

International Classification:

H04L 12/56

US Classification:

370412

Abstract:

An exemplary method for writing packets in a data stream comprises the steps of dividing a packet into long packet cells and short packet cells, storing the long packet cells in a set of long cell queues and the short packet cells in a set of short cell queues, selectively pairing a long packet cell in one of the set of long cell queues with a short packet cell in one of the set of short cell queues to obtain an optimized pair of packet cells at each write cycle, and sequentially writing the optimized pair of packet cells at each write cycle to a set of memory banks. An exemplary method for reading packets in a data stream comprises the steps of receiving long cell requests and short cell requests, storing the long cell requests in a set of long cell request queues, storing the short cell requests in a set of short cell request queues, selectively pairing a long cell request in one of the set of long cell request queues and a short cell request in one of the set of short cell request queues to obtain an optimized pair of cell requests at each read cycle, retrieving packet cells corresponding to the optimized pair of cell requests from a set of memory banks at each read cycle, reordering the packet cells in a first data buffer, and sending the packet cells in a sequential order.

US Patent:

6741562, May 25, 2004

Filed:

Dec 15, 2000

Appl. No.:

09/737916

Inventors:

Joe Keirouz - Fremont CA
Simeon Ngo Sy - San Jose CA
Robert Edward Liston - Menlo Park CA

Assignee:

Tellabs San Jose, Inc. - San Jose CA

International Classification:

G01R 3108

US Classification:

370230, 3703951, 370470

Abstract:

An exemplary method for writing packets in a data stream comprises the steps of dividing a packet into long packet cells and short packet cells, storing the long packet cells in a set of long cell queues and the short packet cells in a set of short cell queues, selectively pairing a long packet cell in one of the set of long cell queues with a short packet cell in one of the set of short cell queues to obtain an optimized pair of packet cells at each write cycle, and sequentially writing the optimized pair of packet cells at each write cycle to a set of memory banks. An exemplary method for reading packets in a data stream comprises the steps of receiving long cell requests and short cell requests, storing the long cell requests in a set of long cell request queues, storing the short cell requests in a set of short cell request queues, selectively pairing a long cell request in one of the set of long cell request queues and a short cell request in one of the set of short cell request queues to obtain an optimized pair of cell requests at each read cycle, retrieving packet cells corresponding to the optimized pair of cell requests from a set of memory banks at each read cycle, reordering the packet cells in a first data buffer, and sending the packet cells in a sequential order.

US Patent:

20230054643, Feb 23, 2023

Filed:

Aug 17, 2021

Appl. No.:

17/445290

Inventors:

- San Jose CA, US
Robert E. Liston - Menlo Park CA, US
Herbert M. Wildfeuer - Los Altos CA, US

International Classification:

H04B 7/0413
H04W 4/029
H04L 1/00

Abstract:

Techniques for improved wireless reliability are provided. Data is transmitted to a client device using a first set of retry parameters. It is determined that the client device is an augmented reality (AR) or virtual reality (VR) device, and a second set of retry parameters is determined, where the second set of retry parameters are more robust than the first set of retry parameters. Data is transmitted to the client device using the second set of retry parameters.

US Patent:

20190205749, Jul 4, 2019

Filed:

Jan 2, 2018

Appl. No.:

15/860307

Inventors:

- San Jose CA, US
Robert Edward Liston - Menlo Park CA, US
Xiaoqing Zhu - Austin TX, US
Mehdi Nikkhah - Belmont CA, US

International Classification:

G06N 3/08
G06N 7/00

Abstract:

A network device that is configured to optimize network performance collects a training dataset representing one or more network device states. The network device trains a first model with the training dataset. The first model may be trained to generate one or more fabricated attributes of artificial network traffic through the network device. The network device trains a second model with the training dataset. The second model may be trained to generate a predictive experience metric that represents a predicted performance of an application program of a client device communicating traffic via the network. The network device generates the fabricated attributes based on the training of the first model. The network device generates the predictive experience metric based on the training of the second model and using the one or more fabricated attributes. The network device alters configurations of the network based on the predictive experience metric.

US Patent:

20170300777, Oct 19, 2017

Filed:

Apr 19, 2016

Appl. No.:

15/132679

Inventors:

- San Jose CA, US
Robert Edward Liston - Menlo Park CA, US

International Classification:

G06K 9/62
G06K 9/46
G06K 9/46
G06K 9/62

Abstract:

In one implementation, a method includes generating a set of candidate objects based at least in part on a set of image data, where the set of image data includes image data from a plurality of image sources. The method also includes generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects. The method further includes transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that correspondence between visual signatures for the at least two candidate objects satisfies one or more correspondence criteria.