Xianjun Zheng

20130035799, Feb 7, 2013

Jul 27, 2012

13/560186

Zhen Song - Plainsboro NJ, US
Xianjun S. Zheng - Plainsboro NJ, US

Siemens Corporation - Iselin NJ

G06F 1/28

700291

A method and system for enabling facility managers and occupants of commercial buildings to collaboratively define energy policy for building energy control is disclosed.

20130147961, Jun 13, 2013

Dec 4, 2012

13/693231

Xiang Gao - Skillman NJ, US
Vinay Damodar Shet - Princeton NJ, US
Xianjun S. Zheng - Plainsboro NJ, US
Sushil Mittal - Edison NJ, US
Mayank Rana - Jersey City NJ, US
Maneesh Kumar Singh - Lawrenceville NJ, US
Bernhard Agthe - Feldkirchen, DE
Andreas Hutter - Munich, DE

H04N 7/18

348159

Multiple cameras are configured for use in video analytics. A single configuration tool is provided. The interrelationships between cameras are included within the configuration. Using a combination of text entry fields, registration of the cameras on a floor or other map, and marking on images from the cameras, an efficient workflow for configuration may be provided.

20130154913, Jun 20, 2013

Dec 14, 2011

13/325361

Yakup Genc - Dayton NJ, US
Jan Ernst - Plainsboro NJ, US
Stuart Goose - Berkeley CA, US
Xianjun S. Zheng - Plainsboro NJ, US

Siemens Corporation - Iselin NJ

G06F 3/01

345156

A system and methods for activating and interacting by a user with at least a 3D object displayed on a 3D computer display by at least the user's gestures which may be combined with a user's gaze at the 3D computer display. In a first instance the 3D object is a 3D CAD object. In a second instance the 3D object is a radial menu. A user's gaze is captured by ahead frame containing at least an endo camera and an exo camera worn by a user. A user's gesture is captured by a camera and is recognized from a plurality of gestures. User's gestures are captured by a sensor and are calibrated to the 3D computer display.

20120086645, Apr 12, 2012

Aug 19, 2011

13/213210

Xianjun S. Zheng - Plainsboro NJ, US
Joeri Kiekebosch - Amsterdam, NL
Stuart Goose - Berkeley CA, US

Siemens Corporation - Iselin NJ

G06F 3/02

345168

A specially-configured interactive user interface for use in eye typing takes the form of a three-layer arrangement that allows for controlling computer input with eye gazes. The three-layer arrangement includes an outer, rectangular ring of letters, displayed clockwise in alphabetical order (forming the first layer). A group of “frequently-used words” associated with the letters being typed forms an inner ring (and is defined as the second layer). This second layer of words is constantly updated as the user continues to enter text. The third layer is a central “open” portion of the interface and forms the typing space—the “text box” that will be filled as the user continues to type. A separate row of control/function keys (including mode-switching for upper case vs. lower case, numbers and punctuation) is positioned adjacent to the three-layer on-screen keyboard display.

20190325535, Oct 24, 2019

Jul 5, 2019

16/503941

- Iselin NJ, US
Sanjeev Srivastava - Princeton Junction NJ, US
Xianjun S. Zheng - Plainsboro NJ, US

G06Q 50/06
F24F 11/52
F24F 11/63
G05B 15/02
G01R 21/00
F24F 11/46
F24F 11/00
G06F 1/3203

A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.

20190073765, Mar 7, 2019

Sep 7, 2017

15/697559

- Erlangen, DE
Erin Girard - New York NY, US
Shun Miao - Princeton NJ, US
Xianjun S. Zheng - Plainsboro NJ, US

G06T 7/00
G06T 5/00
G06N 3/08

Systems and methods are provided for determining a set of imaging parameters for an imaging system. A selection of an image is received from a set of images. A modification of certain quality measures is received for the selected image. The modified selected image is mapped to a set of imaging parameters of an imaging system based on the certain quality measures using a trained Deep Reinforcement Learning (DRL) agent.

20180276767, Sep 27, 2018

Mar 24, 2017

15/468154

- Iselin NJ, US
Xianjun S. Zheng - Plainsboro NJ, US
Sanjeev Srivistava - Princeton NJ, US

G06Q 50/06
G06F 1/32
G01R 21/00

A computer-implemented method of splitting whole building energy consumption includes collecting sensor data from a plurality Variable Air Volume (VAV) boxes in a building, an electric meter in the building, and a gas meter in the building. The total heating energy consumption is split across a plurality of zones within the building using the sensor data, thereby yielding heating energy consumption for each zone. The total cooling energy consumption is split across the plurality of zones using the sensor data, thereby yielding cooling energy consumption for each zone and the total ventilation energy consumption is split across the plurality of zones using the sensor data, thereby yielding ventilation energy consumption for each zone. Zone energy consumption by aggregating the heating energy consumption for the zone, the cooling energy consumption for the zone, and the ventilation energy consumption for the zone.