Rui C Zhang

8081583, Dec 20, 2011

Jul 11, 2008

12/171913

Jae Hong Ruy - Daejeon, KR
Jong Suk Chae - Daejeon, KR
Cheol Sig Pyo - Daejeon, KR
Bong Soo Kim - Daejeon, KR
Eun Ju Lee - Daejeon, KR
Myung Jong Lee - Paramus NJ, US
Tae Rim Park - New York NY, US
Rui Zhang - New York NY, US

Electronics & Telecommunications Research Institute - Daejeon
Research Foundation of the City University of New York - New York NY

H04L 12/26

370256

Provided is a method of supporting node portability in a sensor network, wherein data transmission to a portable node can be guaranteed since even when the portable node is assigned with a different address by being associated with another network, the newly assigned address is transmitted to a parent node or a sink node that was previously associated with the portable node.

20200387119, Dec 10, 2020

Mar 10, 2020

16/814388

- Valhalla NY, US
Younghun Kim - White Plains NY, US
Tarun Kumar - Mohegan Lake NY, US
Abhishek Raman - Santa Clara CA, US
Rui Zhang - Ossining NY, US

Utopus Insights, Inc. - Valhalla NY

G05B 13/02
G01F 22/02
H04L 12/26
H04L 29/08
G01M 3/28
G05D 7/06

Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

20200159976, May 21, 2020

Oct 23, 2019

16/661445

- ARMONK NY, US
Chandramouli Visweswariah - Croton-on-Hudson NY, US
Bo Zhang - Hoboken NJ, US
Rui Zhang - Chappaqua NY, US

G06F 30/20
G06F 17/18

A method for locating an anomaly in a fluid transmission pipeline system is provided. The method may include receiving data for one or more physical conditions measured at an input and output of a pipeline portion, performing multiple simulations on a model of the pipeline portion to determine sets of simulated conditions that respectively correspond to simulated leak locations, determining a probability for a leak at one or more of the simulated leak locations by comparing one or more sets of simulated conditions to the received output data, and determining a highest probability location for the leak based on the probability for the leak at the one or more of the simulated leak locations. At least one simulation of the multiple simulations may be performed as a stochastic process and may be based on the received input data.

20190064392, Feb 28, 2019

Aug 30, 2017

15/690312

- ARMONK NY, US
ILDAR KHABIBRAKHMANOV - Syosset NY, US
TARUN KUMAR - Mohegan Lake NY, US
MARK A. LAVIN - Katonah NY, US
KEVIN W. WARREN - Hopewell Junction NY, US
RUI ZHANG - Chappaqua NY, US
WEI ZHANG - Elmsford NY, US

G01W 1/10
H02J 3/38
G06N 99/00
G06Q 50/06
G05B 13/02
G06F 17/18

A method, computer system, and computer program product. Weather forecast data is generated with respect to an area encompassing a location of a solar farm by a computer system. Solar power output by the solar farm is forecasted by the computer system based on the generated weather forecast data. Forecasted solar power output data is generated by the computer system based on the forecasted solar power output by the solar farm. A power grid operation, including one or both of a power grid balancing operation and a power grid optimization operation, is performed based on the forecasted solar power output data.

20180248380, Aug 30, 2018

Feb 28, 2017

15/445218

- Armonk NY, US
Tarun Kumar - Mohegan Lake NY, US
Mark A. Lavin - Katonah NY, US
Rui Zhang - Chappaqua NY, US

H02J 3/38
G06F 17/50
G06F 17/18

Embodiments are directed to a computer-implemented method, computer system, and computer program product for forecasting power generation. The method includes receiving a first power generation forecast. A second power generation forecast is received, along with actual observed power generation. A model is created for the observed power generation based on the second power generation forecast. A third power generation forecast is created using the model for the observed power generation, the second power generation forecast, and the first power generation forecast.

20180218254, Aug 2, 2018

Feb 2, 2017

15/422972

- Armonk NY, US
Tarun Kumar - Mohegan Lake NY, US
Rui Zhang - Elmsford NY, US
Wei Zhang - Elmsford NY, US

International Business Machines Corporation - Armonk NY

G06N 3/04
G01W 1/10

Four-dimensional (4D) weather forecast data is received which includes a plurality of weather features. The 4D weather forecast data is processed using a chain of a plurality of processing blocks of a neural network to derive one or more of the plurality of weather features. Each of the plurality of processing blocks includes a convolutional layer, an activation layer, and a pooling layer. The convolution layer associates at least one filter to a region of the 4D weather forecast data across a plurality of layers in the 4D weather forecast data. A solar power forecast is determined for a predetermined location based upon the one or more derived weather features.

20180105713, Apr 19, 2018

Mar 21, 2016

15/564779

- Ludwigshafen, DE
Thomas STURM - Schifferstadt, DE
Danny SEYFRIED - Ludwigshafen, DE
Rui ZHANG - West New York NJ, US

BASF SE - Ludwigshafen

C09D 11/52
C09D 7/40
C09D 11/108
C09D 11/107
C09D 11/037
B05D 1/00
B05D 1/40
B05D 1/28
B05D 1/32
H01B 1/02
H05K 3/12
H05K 1/03
H05K 1/09

Described is a composition suitable for the preparation of an electroconductive transparent layer, said composition comprising a mixture of water and one or more alcohols, electroconductive nanoobjects and one or more dissolved styrene/(meth)acrylic copolymers.

20180101147, Apr 12, 2018

Oct 7, 2016

15/288571

- Armonk NY, US
Tarun Kumar - Mohegan Lake NY, US
Rui Zhang - Ossining NY, US

G05B 13/02
G06F 17/30
G01W 1/10

Embodiments are directed to a computer-implemented method of forecasting power generation. The method includes analyzing, using a processor, a set of historical weather data. A set of historical power generation data is analyzed using the processor. The processor then determines a plurality of clusters, where each cluster of the plurality of clusters represents weather data for a time period and power generated during the time period. The processor then receives a weather forecast for a future time period. The processor determines which cluster of the set of cluster contains weather data that is most similar to the weather forecast. The processor then uses the historical power generation data of the cluster to forecast power generation for the future time period.