Patents by Inventor Qian Lin
Qian Lin 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).
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Patent number: 12218311Abstract: A secondary battery includes a positive electrode plate. that includes a positive current collector, a first positive active material layer distributed on one side of the positive current collector, and a second positive active material layer distributed on an other side of the positive current collector and a negative electrode plate that includes a negative current collector, a first negative active material layer distributed on one side of the negative current collector and opposite to the second positive active material layer, and a second negative active material layer distributed on an other side of the negative current collector. A resistance of the first positive active material layer is R1, a resistance of the second positive active material layer is R2, a resistance of the first negative active material layer is R3, a resistance of the second negative active material layer is R4.Type: GrantFiled: August 7, 2023Date of Patent: February 4, 2025Assignee: CONTEMPORARY AMPEREX TECHNOLOGY (HONG KONG) LIMITEDInventors: Quanguo Li, Yonghuang Ye, Qian Liu, Jianfu He, Fajun Huang, Chenhui Lin
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Publication number: 20240430562Abstract: In some examples, a non-transitory machine-readable medium stores machine-readable instructions which, when executed by a processor of an electronic device, cause the processor to detect, by multiple image sensors, a user presence, to determine, responsive to the detection of the user presence, eye gaze angles of a user in relation to optical axes of the multiple image sensors, to identify a smallest eye gaze angle among the eye gaze angles, and to cause an image sensor of the multiple image sensors that has the smallest eye gaze angle to be an active image sensor of the electronic device.Type: ApplicationFiled: September 27, 2021Publication date: December 26, 2024Applicant: Hewlett-Packard Development Company, L.P.Inventors: Rafael Dal Zotto, Qian Lin
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Publication number: 20240412557Abstract: In some examples, a controller can include a processing resource and a memory resource storing instructions to cause the processing resource perform object detection on a frame of a plurality of frames of a video signal, generate a bounding box around an object in the frame in response to the object detection detecting the object in the frame, perform a backlight adjustment of the frame, and generate an output frame having adjusted pixel values for each pixel from the backlight adjustment.Type: ApplicationFiled: October 13, 2021Publication date: December 12, 2024Applicants: Hewlett-Packard Development Company, L.P., Purdue Research FoundationInventors: Fan Bu, Zhuosheng Zhang, Qian Lin
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Publication number: 20240404017Abstract: In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to identify a base resolution of a captured image having a base image quality, perform, via an individual neural network, neural network calculations on the captured image to form an enhanced image having an resolution that is higher than the base resolution and image quality that is higher than the base image quality.Type: ApplicationFiled: October 13, 2021Publication date: December 5, 2024Applicants: Hewlett-Packard Development Company, L.P., Purdue Research FoundationInventors: Xiaoyu Xiang, Qian Lin, Jan Allebach, Tianqi Guo
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Publication number: 20240404268Abstract: In some examples, a computing device can include a processing resource and a memory resource storing instructions to cause the processing resource to cause a convolutional neural network (CNN) model to be trained with an initial training data set to detect an object included in annotated images included in the initial training data set, cause the trained CNN model to perform inferencing on unannotated images included in an inference data set to detect the object in the unannotated images, determine an error rate of the trained CNN model, and cause the trained CNN model to be further trained based on the error rate.Type: ApplicationFiled: October 14, 2021Publication date: December 5, 2024Applicant: Hewlett-Packard Development Company, L.P.Inventors: Qian Lin, Augusto Valente, Otavio Gomes
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Patent number: 12125255Abstract: An example device is described for facilitating polygon localization. In various aspects, the device can comprise a processor. In various instances, the device can comprise a non-transitory machine-readable memory that can store machine-readable instructions. In various cases, the processor can execute the machine-readable instructions, which can cause the processor to localize a polygon depicted in an image, based on execution of a deep learning pipeline. In various aspects, the deep learning pipeline can comprise a circular-softmax block.Type: GrantFiled: August 23, 2022Date of Patent: October 22, 2024Assignees: Hewlett-Packard Development Company, L.P., Purdue Research FoundationInventors: Yang Cheng, Qian Lin, Jan Philip Allebach
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Publication number: 20240335384Abstract: A novel cationic lipid having a structure as represented by general formula (1), which specifically relates to a nitrogen-containing cationic lipid, and also relates to a liposome containing the cationic lipid, a liposome pharmaceutical composition containing said cationic lipid, preparation and application thereof. A cationic liposome containing the cationic lipid represented by formula (1), can improve the loading rate and transport rate of drugs, particularly nucleic acid drugs. The terminus of the novel cationic lipid can contain a fluorescent group or a targeting group, so that the cationic liposome pharmaceutical composition containing the cationic lipid can have fluorescent or targeting function.Type: ApplicationFiled: October 13, 2022Publication date: October 10, 2024Applicant: XIAMEN SINOPEG BIOTECH CO., LTD.Inventors: Sheng LIN, Minggui LIN, Ailan WANG, Linlin WANG, Wengui WENG, Chao LIU, Jinchun YUAN, Qian LIN
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Patent number: 12093439Abstract: An example system includes a first camera to capture a first image of a first facial body part and a second camera to capture a second image of a second facial body part. The example system further includes a transformation engine to transform respective scales of the first image and the second image to a scale of full facial images. The example system further includes a local location engine to: identify first facial landmarks and second facial landmarks in respective transformed versions of the first image and the second image, the first facial landmarks and the second facial landmarks used to determine that an action has occurred.Type: GrantFiled: June 27, 2019Date of Patent: September 17, 2024Assignee: Hewlett-Packard Development Company, L.P.Inventor: Qian Lin
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Publication number: 20240285674Abstract: The present invention relates to the field of anticoagulant and antithrombotic drugs, and in particular to an application of sulfate gluco-galacto-oligosaccharide in preparation of an anticoagulant and/or antithrombotic drug. Disclosed in the present invention is the application of sulfate gluco-galacto-oligosaccharide in the preparation of the anticoagulant and/or antithrombotic drug. The structural formula of sulfate gluco-galacto-oligosaccharide is that R1-R24 are independently SO3? or H, but not all H. Sulfate gluco-galacto-oligosaccharide of the present invention has obvious anticoagulant activity in vivo and in vitro, and can be used for preparing the anticoagulant and/or antithrombotic drug.Type: ApplicationFiled: July 4, 2022Publication date: August 29, 2024Inventors: Jianfa ZHANG, Qian LIN, Lei WANG
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Publication number: 20240290027Abstract: In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to generate multiple synthetic images of an object based on defined object parameters and randomized visual parameters. The instructions also cause the processor to generate annotations of the object in multiple synthetic images based on the defined object parameters and the randomized visual parameters. The instructions further cause the processor to train a machine-learning (ML) model for detecting the object using the multiple synthetic images and annotations.Type: ApplicationFiled: June 30, 2021Publication date: August 29, 2024Inventors: Fan Bu, Tianqi Guo, Qian Lin, Jan Philip Allebach
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Publication number: 20240176018Abstract: In various examples, techniques for sensor-fusion based object detection and/or free-space detection using ultrasonic sensors are described. Systems may receive sensor data generated using one or more types of sensors of a machine. In some examples, the systems may then process at least a portion of the sensor data to generate input data, where the input data represents one or more locations of one or more objects within an environment. The systems may then input at least a portion of the sensor data and/or at least a portion of the input data into one or more neural networks that are trained to output one or more maps or other output representations associated with the environment. In some examples, the map(s) may include a height, an occupancy, and/or height/occupancy map generated, e.g., from a birds-eye-view perspective.Type: ApplicationFiled: November 30, 2022Publication date: May 30, 2024Inventors: David Weikersdorfer, Qian Lin, Aman Jhunjhunwala, Emilie Lucie Eloïse Wirbel, Sangmin Oh, Minwoo Park, Gyeong Woo Cheon, Arthur Henry Rajala, Bor-Jeng Chen
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Publication number: 20240176017Abstract: In various examples, techniques for sensor-fusion based object detection and/or free-space detection using ultrasonic sensors are described. Systems may receive sensor data generated using one or more types of sensors of a machine. In some examples, the systems may then process at least a portion of the sensor data to generate input data, where the input data represents one or more locations of one or more objects within an environment. The systems may then input at least a portion of the sensor data and/or at least a portion of the input data into one or more neural networks that are trained to output one or more maps or other output representations associated with the environment. In some examples, the map(s) may include a height, an occupancy, and/or height/occupancy map generated, e.g., from a birds-eye-view perspective. The machine may use these outputs to perform one or more operations.Type: ApplicationFiled: November 30, 2022Publication date: May 30, 2024Inventors: David Weikersdorfer, Qian Lin, Aman Jhunjhunwala, Emilie Lucie Eloïse Wirbel, Sangmin Oh, Minwoo Park, Gyeong Woo Cheon, Arthur Henry Rajala, Bor-Jeng Chen
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Publication number: 20240163633Abstract: The embodiments of the present disclosure relate to a sound signal processing method, device, electronic equipment and storage medium. The method is used for a head-mounted display apparatus and includes: acquiring an ambient sound signal of the head-mounted display apparatus, identifying the ambient sound signal and determining a sound category corresponding to the ambient sound signal, and displaying corresponding prompt information in the head-mounted display apparatus according to the sound category.Type: ApplicationFiled: November 14, 2023Publication date: May 16, 2024Inventors: Ziyuan LIU, Zhanyi YAN, Qian LIN
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Publication number: 20240121358Abstract: In some examples, an electronic device includes a machine learning circuit to detect a user break from an online meeting based on a video stream. In some examples, the machine learning circuit is to send an indicator in response to detecting the user break. In some examples, the electronic device includes a processor coupled to the machine learning circuit. In some examples, the processor is to replace a portion of the video stream with substitute video in response to the indicator.Type: ApplicationFiled: March 11, 2021Publication date: April 11, 2024Applicant: Hewlett-Packard Development Company, L.P.Inventors: Lan Wang, Qian Lin
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Patent number: 11954905Abstract: An example system includes: a landmark detection engine to detect landmark positions of landmarks in images based on facial detection; an optical flow landmark engine to determine the landmark positions in the images based on optical flow of the landmarks between the images; a landmark difference engine to determine, for a landmark in a given image: a distance between a detected landmark position and an optical flow landmark position of the landmark; and a weighted landmark determination engine to determine, for a first and second image, a position for the landmark in the second image based on: a respective detected landmark position and a respective optical flow position of the landmark in the second image; and respective distances, determined with the landmark difference engine, between a first detected landmark position of the landmark in the first image and respective optical flow landmark positions for the first and second images.Type: GrantFiled: June 28, 2019Date of Patent: April 9, 2024Assignees: Hewlett-Packard Development Company, L.P., Purdue Research FoundationInventors: Yang Cheng, Xiaoyu Xiang, Shaoyuan Xu, Qian Lin, Jan Philip Allebach
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Publication number: 20240104742Abstract: In examples, an electronic device is provided. The electronic device includes a processor to receive an input image from an image sensor. The processor is also to scale a size of the input image to a programmed size. The processor is also to encode the scaled input image to provide a feature map having a fractional size of the scaled input image. The processor is also to process the feature map according to lite reduced atrous spatial pyramid pooling (LR-ASPP) to provide a LR-ASPP result. The processor is also to decode the LR-ASPP result to provide an image segmentation result.Type: ApplicationFiled: September 16, 2022Publication date: March 28, 2024Inventors: Weichen XU, Yezhi SHEN, Qian LIN, Jan P. ALLEBACH, Fengqing ZHU
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Patent number: 11941499Abstract: Examples of methods for training using rendered images are described herein. In some examples, a method may include, for a set of iterations, randomly positioning a three-dimensional (3D) object model in a virtual space with random textures. In some examples, the method may include, for the set of iterations, rendering a two-dimensional (2D) image of the 3D object model in the virtual space and a corresponding annotation image. In some examples, the method may include training a machine learning model using the rendered 2D images and corresponding annotation images.Type: GrantFiled: October 16, 2019Date of Patent: March 26, 2024Assignee: Hewlett-Packard Development Company, L.P.Inventors: Qian Lin, Augusto Cavalcante Valente, Deangeli Gomes Neves, Guilherme Augusto Silva Megeto
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Publication number: 20240071084Abstract: A first machine learning model is applied to an image of a person and a stationary object to generate a first intermediate image including a simplified pose representation of the person in the image corresponding to a pose of the person. A simplified representation of the stationary object in the image is added to the first intermediate image. The simplified representation includes key points of the stationary object in the image. A second machine learning model is applied to a second intermediate image corresponding to the first intermediate image to determine a state of the person relative to the stationary object in the image as either a first state or a second state.Type: ApplicationFiled: January 15, 2021Publication date: February 29, 2024Inventors: Fan Bu, Qian Lin, Jan Allebach
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Publication number: 20240071031Abstract: An example device is described for facilitating polygon localization. In various aspects, the device can comprise a processor. In various instances, the device can comprise a non-transitory machine-readable memory that can store machine-readable instructions. In various cases, the processor can execute the machine-readable instructions, which can cause the processor to localize a polygon depicted in an image, based on execution of a deep learning pipeline. In various aspects, the deep learning pipeline can comprise a circular-softmax block.Type: ApplicationFiled: August 23, 2022Publication date: February 29, 2024Inventors: Yang Cheng, Qian Lin, Jan Philip Allebach
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Patent number: D1040507Type: GrantFiled: August 23, 2022Date of Patent: September 3, 2024Assignee: NINGBO JINGTE E-BUSINESS CO., LTDInventors: Qian Lin, Qiming Zhou