Gang A Xu

6529495, Mar 4, 2003

May 24, 1999

09/317333

Joseph R. Cavallaro - Pearland TX
Gang Xu - Houston TX

Nokia Telecommunications, Oy

H04B 7216

370342, 375148, 375150

A multistage detector is disclosed that maximizes computation power while minimizing system delay. The differencing multistage detector receives signals from a plurality of users in a cell of a communications system and reduces the effect of multiple access interference to a signal from a desired user caused by interference from other users in the cell. The differencing multistage detector includes a plurality of stages, each stage including an interference canceller for removing intra-cell interference caused by the other users in the cell and producing an estimation output vector, wherein except for a first stage, the estimation output vector of a current stage is based on both a decision of the interference canceller of the current stage and the output from an interference canceller of a previous stage. The estimation output vector of a current stage is produced by combining the output from an interference canceller of a previous stage and the decision of the interference canceller of the current stage. Except for the first stage each interference canceller calculates an estimate of multi-user interference by computing a product of a cross-correlation of the received signals and a difference signal thereby reducing the number of multiplication operations required.

7676352, Mar 9, 2010

Apr 19, 2005

11/109840

David J. Van Peursem - Irvine CA, US
Gang Xu - Corona CA, US

Invensys Systems, Inc. - Foxboro MA

G06F 9/455

703 9, 703 2, 73 2501, 137828

A method of estimating a thermophysical property of a fluid using a local model is disclosed herein. The method includes generating, for use within the local model, a series expansion of thermodynamic equations relating to the thermophysical property and one or more derivatives involving the thermophysical property. The method further includes evaluating, based upon a set of specified values of parameters of the fluid, a first order term of the series expansion and a second order term of the series expansion. The values of the first order term and the second order term are then compared. A value of the thermophysical property is then automatically updated when the values of the first order term and the second order term are found to differ by more than a predefined amount.

7843378, Nov 30, 2010

Mar 4, 2008

12/074511

Chandrasekaran Venkatachalam - Fort Collins CO, US
Gang Xu - Houston TX, US
Yanting Wang - Aurora CO, US

Colorado State University Research Foundation - Fort Collins CO

G01S 13/95

342 26R, 342 26 D, 342196

Methods and systems for estimating atmospheric conditions are disclosed according to embodiments of the invention. In one embodiment, a method may include receiving reflective atmospheric data and solving a flow equation for motion coefficients using the reflective atmospheric data. Future atmospheric conditions can be estimated using the motion coefficients and the reflective atmospheric data. In another embodiment of the invention, the flow equation is solved in the frequency domain. Various linear regression tools may be used to solve for the coefficients. In another embodiment of the system, a radar system is disclosed that predicts future atmospheric conditions by solving the spectral flow equation.

7987082, Jul 26, 2011

Feb 1, 2010

12/698063

David J. Van Peursem - Irvine CA, US
Gang Xu - Corona CA, US

Invensys Systems, Inc. - Foxboro MA

G06F 9/455

703 9, 73 2501

A method of estimating a thermophysical property of a fluid using a local model is disclosed herein. The method includes generating, for use within the local model, a series expansion of thermodynamic equations relating to the thermophysical property and one or more derivatives involving the thermophysical property. The method further includes evaluating, based upon a set of specified values of parameters of the fluid, a first order term of the series expansion and a second order term of the series expansion. The values of the first order term and the second order term are then compared. A value of the thermophysical property is then automatically updated when the values of the first order term and the second order term are found to differ by more than a predefined amount.

8121968, Feb 21, 2012

Sep 11, 2008

12/208551

John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - The Woodlands TX, US
Ming-Jung Seow - Houston TX, US
David Samuel Friedlander - Houston TX, US
Gang Xu - Houston TX, US

Behavioral Recognition Systems, Inc. - Houston TX

G06F 17/00
G06F 15/18
G06N 5/02
G06K 9/62
G06K 9/46
G06K 9/66

706 46, 706 12, 382155, 382192, 382227

A long-term memory used to store and retrieve information learned while a video analysis system observes a stream of video frames is disclosed. The long-term memory provides a memory with a capacity that grows in size gracefully, as events are observed over time. Additionally, the long-term memory may encode events, represented by sub-graphs of a neural network. Further, rather than predefining a number of patterns recognized and manipulated by the long-term memory, embodiments of the invention provide a long-term memory where the size of a feature dimension (used to determine the similarity between different observed events) may grow dynamically as necessary, depending on the actual events observed in a sequence of video frames.

8126833, Feb 28, 2012

Dec 16, 2008

12/336354

Wesley Kenneth Cobb - The Woodlands TX, US
Ming-Jung Seow - Houston TX, US
Gang Xu - Houston TX, US

Behavioral Recognition Systems, Inc. - Houston TX

G06F 17/00
G06F 15/18
G06N 5/02
G06K 9/62
G06K 9/46
G06K 9/66

706 46, 706 12, 382155, 382192, 382227

Techniques are described for detecting anomalous events using a long-term memory in a video analysis system. The long-term memory may be used to store and retrieve information learned while a video analysis system observes a stream of video frames depicting a given scene. Further, the long-term memory may be configured to detect the occurrence of anomalous events, relative to observations of other events that have occurred in the scene over time. A distance measure may used to determine a distance between an active percept (encoding an observed event depicted in the stream of video frames) and a retrieved percept (encoding a memory of previously observed events in the long-term memory). If the distance exceeds a specified threshold, the long-term memory may publish the occurrence of an anomalous event for review by users of the system.

8131012, Mar 6, 2012

Feb 8, 2008

12/028484

John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Dennis Gene Urech - Katy TX, US
Bobby Ernest Blythe - Houston TX, US
David Samuel Friedlander - Houston TX, US
Rajkiran Kumar Gottumukkal - Houston TX, US
Lon William Risinger - Katy TX, US
Kishor Adinath Saitwal - Houston TX, US
Ming-Jung Seow - Houston TX, US
David Marvin Solum - Houston TX, US
Gang Xu - Houston TX, US
Tao Yang - Houston TX, US

BEHAVIORAL RECOGNITION SYSTEMS, Inc. - Houston TX

G06K 9/00

382103, 382155, 3405731

Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track an object's motion frame-to-frame. Classes of the objects are determined and semantic representations of the objects are generated. The semantic representations are used to determine objects' behaviors and to learn about behaviors occurring in an environment depicted by the acquired video streams. This way, the system learns rapidly and in real-time normal and abnormal behaviors for any environment by analyzing movements or activities or absence of such in the environment and identifies and predicts abnormal and suspicious behavior based on what has been learned.

8165860, Apr 24, 2012

Aug 25, 2009

12/547145

Gang Xu - Irvine CA, US
David Bluck - Yorba Linda CA, US
David J. Van Peursem - Irvine CA, US
Ian H. Boys - Vista CA, US

Invensys Systems, Inc - Foxboro MA

G06F 9/455

703 12

A system for thermodynamic modeling is provided. The system comprises a computer having a processor, a thermodynamic process simulation application, and a thermodynamic equation of state application. When executed by the processor, the thermodynamic equation of state application determines a density root based on a first and second point of departure from an equation of state and based on a first and a second extrapolation equation. The first departure point satisfies the equation.