Patents by Inventor Wei Guan

Wei Guan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220131458
    Abstract: An auxiliary power supply device for an inverter with a plurality of power modules connected in parallel is disclosed. The auxiliary power supply device includes: a plurality of soft-start circuits, each coupled to a DC port of a corresponding power module; a plurality of distributed auxiliary power supplies, each having an input terminal coupled to the DC port of the corresponding power module; and a centralized auxiliary power supply having an input terminal coupled to an AC side of the inverter, and an output terminal coupled to a DC side of the inverter. By replacing auxiliary power supplies on the AC sides of all power modules with the centralized auxiliary power supply and omitting soft-start circuits on the AC sides of all power modules, the present invention improves system performance in cost, volume, loss, and electromagnetic compatibility.
    Type: Application
    Filed: August 11, 2021
    Publication date: April 28, 2022
    Inventors: Chao ZHANG, Wei Guan, Hongyang WU, Feiqin HAO, Fayang JIANG
  • Publication number: 20220121887
    Abstract: In some embodiments, a computer-implemented method is disclosed. The method comprises receiving a plant image from a user device and applying a first digital model to first regions within the image for classifying each of the first regions into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases. The method also includes applying a second digital model to one or more second regions within the image for classifying each of the one or more second regions into a class of a second set of classes corresponding to the second plurality of plant diseases. The method then includes transmitting classification data related to the classes of the first set of classes and the classes of the second set of classes to the user device into which the regions are classified.
    Type: Application
    Filed: January 3, 2022
    Publication date: April 21, 2022
    Inventors: Wei Guan, Yichuan Gui
  • Patent number: 11256916
    Abstract: Systems and methods for identifying clouds and cloud shadows in satellite imagery are described herein. In an embodiment, a system receives a plurality of images of agronomic fields produced using one or more frequency bands. The system also receives corresponding data identifying cloud and cloud shadow locations in the images. The system trains a machine learning system to identify at least cloud locations using the images as inputs and at least data identifying pixels as cloud pixels or non-cloud pixels as outputs. When the system receives one or more particular images of a particular agronomic field produced using the one or more frequency bands, the system uses the one or more particular images as inputs into the machine learning system to identify a plurality of pixels in the one or more particular images as particular cloud locations.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: February 22, 2022
    Assignee: The Climate Corporation
    Inventors: Ying She, Pramithus Khadka, Wei Guan, Xiaoyuan Yang, Demir Devecigil
  • Publication number: 20220047150
    Abstract: A sheath cap includes a housing collar and a cylinder which is coaxially fixed on the inner surface of one end of the housing collar. The cylinder is internally provided with instrument channel straight holes and a water spray channel straight hole which are parallel to the axial direction of the cylinder. The sheath cap is provided with an oblique hole, which is in communication with the water spray channel straight hole and is configured to spray water to the lateral front side of the sheath cap.
    Type: Application
    Filed: November 1, 2021
    Publication date: February 17, 2022
    Inventors: Shaogang WANG, Xuecheng HU, Yeyun MAO, Xiao YU, Wei GUAN, Cao QIN, Gang LONG, Ying LI, Chengpeng LIU, Wenhua LI
  • Publication number: 20220037983
    Abstract: A DC-side soft switching device for a converter includes a battery, a bus capacitor, a first relay switch, a first resistor, a second relay switch, a second resistor, and a third resistor. The first relay switch is arranged between an anode of the battery and the bus capacitor. The first resistor is electrically connected in parallel to the first relay switch. The second relay switch is arranged between a cathode of the battery and the bus capacitor. The second resistor is electrically connected in parallel to the second relay switch. The third resistor is electrically connected in parallel to the bus capacitor.
    Type: Application
    Filed: July 28, 2021
    Publication date: February 3, 2022
    Inventors: Bing JIAO, Jun LIU, Hongyang WU, Wei GUAN
  • Patent number: 11216702
    Abstract: In some embodiments, a computer-implemented method is disclosed.
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: January 4, 2022
    Assignee: THE CLIMATE CORPORATION
    Inventors: Yichuan Gui, Wei Guan
  • Publication number: 20210383156
    Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.
    Type: Application
    Filed: August 23, 2021
    Publication date: December 9, 2021
    Inventors: Wei Guan, Pramithus Khadka, Jeffrey Gerard
  • Patent number: 11176623
    Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: November 16, 2021
    Assignee: The Climate Corporation
    Inventors: Juan Pablo Bedoya, Victor Stuber, Gerard Guillemette, Joost Kemink, Yaqi Chen, Daniel Williams, Ying She, Marian Farah, Julian Boshard, Wei Guan
  • Publication number: 20210323847
    Abstract: The disclosure discloses an online resourceful treatment method of electroless copper plating waste solution. According to the disclosure, a copper catalyst is adopted to perform autocatalytic reaction on electroless copper plating waste solution in an autocatalytic reactor, copper simple substances are reduced from copper ions in the waste solution and recycled, the treated waste solution enters into a three-dimensional electrolyzer and a membrane filtration plant for further purification, the finally treated electroless copper plating waste solution meets water quality discharge standard, and the recovery rate of the copper simple substances can reach up to above 95%.
    Type: Application
    Filed: July 30, 2020
    Publication date: October 21, 2021
    Inventors: JianWei DU, Kuang HE, Na TANG, Wei GUAN, Yan JIA, XiaoYing HU, MingYang ZHANG, MingShan LI, Ning HUANG, Feng XU
  • Patent number: 11122734
    Abstract: In an approach, hyperspectral and/or multispectral remote sensing images are automatically analyzed by a nitrogen analysis subsystem to estimate the value of nitrogen variables of crops or other plant life located within the images. For example, the nitrogen analysis subsystem may contain a data collector module, a function generator module, and a nitrogen estimator module. The data collector module prepares training data which is used by the function generator module to train a mapping function. The mapping function is then used by the nitrogen estimator module to estimate the values of nitrogen variables for a new remote sensing image that is not included in the training set. The values may then be reported and/or used to determine an optimal amount of fertilizer to add to a field of crops to promote plant growth.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: September 21, 2021
    Assignee: THE CLIMATE CORPORATION
    Inventors: Wei Guan, Ying Xu
  • Patent number: 11126886
    Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: September 21, 2021
    Assignee: The Climate Corporation
    Inventors: Wei Guan, Pramithus Khadka, Jeffrey Gerard
  • Publication number: 20210174055
    Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.
    Type: Application
    Filed: February 11, 2021
    Publication date: June 10, 2021
    Inventors: Wei GUAN, Pramithus KHADKA
  • Patent number: 10956780
    Abstract: A system and processing methods for refining a convolutional neural network (CNN) to capture characterizing features of different classes are disclosed. In some embodiments, the system is programmed to start with the filters in one of the last few convolutional layers of the initial CNN, which often correspond to more class-specific features, rank them to hone in on more relevant filters, and update the initial CNN by turning off the less relevant filters in that one convolutional layer. The result is often a more generalized CNN that is rid of certain filters that do not help characterize the classes.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: March 23, 2021
    Assignee: THE CLIMATE CORPORATION
    Inventors: Ying She, Wei Guan
  • Patent number: 10929663
    Abstract: A system for identifying ponding water located on a field from image data is described. In an approach, an image of an agricultural field is analyzed using a classifier that has been trained based on the spectral bands of labeled image pixels to identify a probability for each pixel within the image that the pixel corresponds to water. A flow simulation is performed to determine regions of the field that are likely to pool water after rainfall based on precipitation data, elevation data, and soil property data of the field. A graph of vertices representing the pixels and edges representing connections between neighboring pixels is generated. The probability of each pixel within the graph being ponding water is set based on the probability pixel being water, the likelihood that water will pool in the area represented by the pixel, the probability of neighboring pixels being ponding water, and a cropland mask that identifies which pixels correspond to cropland.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: February 23, 2021
    Assignee: THE CLIMATE CORPORATION
    Inventors: Wei Guan, Pramithus Khadka
  • Patent number: 10887548
    Abstract: A method can include determining a distance of a person's face from a camera that captured an image of the person's face, determining a size of a display in communication with the camera, and scaling the image based on the determined distance of the person's face and the determined size of the display.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: January 5, 2021
    Assignee: GOOGLE LLC
    Inventors: Brandon Mayer, Luke Sorenson, Matthew Frazier, Wei Guan, James McGill, Zachary Yorke, Adrien Baranes, John Finley
  • Publication number: 20200393435
    Abstract: A system and processing methods for configuring and utilizing a convolutional neural network (CNN) for plant disease recognition are disclosed. In some embodiments, the system is programmed to collect photos of infected plants or leaves where regions showing symptoms of infecting diseases are marked. Each photo may have multiple marked regions. Depending on how the symptoms are sized or clustered, one marked region may include only one lesion caused by one disease, while another may include multiple, closely-spaced lesions caused by one disease. The system is programmed to determine anchor boxes having distinct aspect ratios from these marked regions for each convolutional layer of a single shot multibox detector (SSD). For certain types of plants, common diseases lead to relatively many aspect ratios, some having relatively extreme values. The system is programmed to then train the SSD using the marked regions and the anchor boxes and apply the SSD to new photos to identify diseased plants.
    Type: Application
    Filed: August 26, 2020
    Publication date: December 17, 2020
    Inventors: YICHUAN GUI, WEI GUAN
  • Publication number: 20200338735
    Abstract: A sensorless collision detection method of robotic arm based on motor current includes acquiring an output current of a robotic arm joint motor; building a neural network, and using a backpropagation algorithm to update the weights and the deviations of the neural network to obtain an estimated current value; judging whether collision occurs by comparing the collision detection threshold with the error value between the output current of the robotic arm joint motor and the estimated output current of the neural network. The detection method is easy to operate and has higher universality.
    Type: Application
    Filed: April 20, 2020
    Publication date: October 29, 2020
    Inventors: Longlei Dong, Linjie MA, Jian YAN, Yi HAN, Wei GUAN
  • Publication number: 20200342273
    Abstract: In some embodiments, a computer-implemented method is disclosed.
    Type: Application
    Filed: July 14, 2020
    Publication date: October 29, 2020
    Inventors: Yichuan Gui, Wei Guan
  • Publication number: 20200334518
    Abstract: Systems and method for computing yield values through a neural network from a plurality of different data inputs are disclosed. In an embodiment, a server computer system receives a particular dataset relating to one or more agricultural fields wherein the particular data set comprises particular crop identification data, particular environmental data, and particular management practice data. Using a first neural network, the server computer system computes a crop identification effect on crop yield from the particular crop identification data. Using a second neural network, the server computer system computes an environmental effect on crop yield from the particular environmental data. Using a third neural network, the server computer system computes a management practice effect on crop yield from the management practice data.
    Type: Application
    Filed: June 29, 2020
    Publication date: October 22, 2020
    Inventors: Wei Guan, Erik Andrejko
  • Patent number: 10761075
    Abstract: A system and processing methods for configuring and utilizing a convolutional neural network (CNN) for plant disease recognition are disclosed. In some embodiments, the system is programmed to collect photos of infected plants or leaves where regions showing symptoms of infecting diseases are marked. Each photo may have multiple marked regions. Depending on how the symptoms are sized or clustered, one marked region may include only one lesion caused by one disease, while another may include multiple, closely-spaced lesions caused by one disease. The system is programmed to determine anchor boxes having distinct aspect ratios from these marked regions for each convolutional layer of a single shot multibox detector (SSD). For certain types of plants, common diseases lead to relatively many aspect ratios, some having relatively extreme values. The system is programmed to then train the SSD using the marked regions and the anchor boxes and apply the SSD to new photos to identify diseased plants.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: September 1, 2020
    Assignee: THE CLIMATE CORPORATION
    Inventors: Yichuan Gui, Wei Guan