Tyco Electronics (Shanghai) Co., Ltd.

Te Connectivity Corporation

Te Connectivity Solutions Gmbh

Novatek Microelectronics Corp.

Shenzhen Ami Technology Co., Ltd

The Hong Kong University of Science and Technology

Micron Technology Incorporated

Inventec Corp.

Autoliv Development Ab

Inventec (Pudong) Technology Corporation

Te Connectivity Services Gmbh

East China University of Science and Technology

Hutchison Medipharma Limited

Tyco Electronics Corporation

Schneider Electric Industries Sas

Lei Zhou

Dandan Zhang

Roberto Francisco-Yi Lu

Lvhai Hu

Yun Liu

Sonny O Osunkwo

Yingcong Deng

Zhiyong Dai

Liming Xin

Qinglong Zeng

Jiankun Zhou

Kok Wai Wong

Guangzhi Liu

Chun Wang

Du Wen

Heng Yu

Hongtao Liu

Cheng-Wei Chou

Ping Sheng

Fengchun Xie

Weijia Wen

Wei Kang

Zongjie Tao

Changjun Wang

Che Ting Chan

Kishore Kumar Muchherla

Yu Cai

Jung Sheng Hoei

Wei Zhu

Jun Wu

Jiangang Wu

Wei-Guo Su

Qisong Lin

Yan Zheng

Simon Tian

Huijie Huang

Bing Shuang

Angel Alberto Slistan

Michael Pedrick

Hongzhou Shen

Biao Li

Guang-Zhi Liu

Michael Ritchie

Lian-Fei Zhang

Jeffrey Zerbe

Jean-Baptiste Bernard

Tim Darr

Jingyu Bian

Shufan Geng

Weikun Ge

Shu Wang

Yizhen Yang

Scott Day

Jian Zeng

Yifan Liu

Lihua Huang

Bo Hou

Xiong Li

Huiyou Zhou

Weiguo Qing

Philip Amante

Martin Fevre

Jorge Enrique Clayton

Luis Ernesto Thomson Martinez

Christopher Arce Diaz

Nicole Castillo Machado

Julio Waissman

Bozhong Mu

Shizhong Yang

Nan Shen

Xinli Wang

Ruifu Yang

Youbao Zhang

Jensen Li

Feng Ma

Quanhe Liu

A part inspection system includes a vision device configured to image a part being inspected and generate a digital image of the part. The inspection system includes a part inspection module communicatively coupled to the vision device and receiving the digital image of the part. The part inspection module includes an image quality module. The image quality module analyzes the digital image to determine if the digital image achieves a quality threshold. The image quality module generates an image quality output based on the analysis of the digital image. The part inspection module includes an image classifier module. The image classifier module analyzes the digital image to classify the image as a defective part or a non-defective part.

Automated part inspection system

A steering wheel assembly including a steering wheel, a transmission member, and an electronic device, wherein the transmission member is configured to transmit torque between the steering wheel and a steering column; the steering wheel includes a steering wheel center portion and a steering wheel rim surrounding the steering wheel center portion, the steering wheel rim is provided with an electrical element, and the electronic device is provided at the steering wheel center portion and remains stationary when the steering wheel is rotated; and a clock spring unit is provided below the electronic device and includes a first connection terminal connected to the electronic device, a second connection terminal connected to the electrical element, and a third connection terminal connected to a vehicle, wherein the clock spring unit includes an inner clock spring part and an outer clock spring part surrounding the inner clock spring part.

Steering wheel assembly

The present invention relates to a method for inhibiting biogenic hydrogen sulfide in oilfields. A synergistic inhibition system combination agent containingstrain GW1 is added into oilfield systems, wherein the strain GW1 has been deposited in China General Microbiological Culture Collection Center on Oct. 20, 2021, and has the deposit number of CGMCC No. 23631.

Method for inhibiting biogenic hydrogen sulfide in oilfields

A part inspection system is provided and includes a vision device configured to image a part is inspected and generate a digital image of the part. The part inspection system includes a part inspection module coupled to the vision device and receiving the digital image of the part. The part inspection module includes a memory for storing a neural network architecture having a plurality of convolutional layers, a plurality of pooling layers disposed after different convolutional layers and spaced apart from each other, at least one random noise generation layer downstream of the convolutional layers and the pooling layers, and an output layer. The part inspection module includes a processor configured to analyze the digital image through the layers of the neural network architecture to output one of a defective output or a non-defective output based on the image analysis of the digital image through the neural network architecture.

Neural network architecture for automated part inspection

A manifold assembly includes a liquid inlet pipe, a plurality of transparent windows and a liquid return pipe. The liquid inlet pipe has a first accommodating space, a first liquid inlet, a plurality of first liquid outlets and a plurality of openings. The first accommodating space is configured to accommodate a cooling liquid, and is in fluid communication with the first liquid inlet, the first liquid outlets and the openings. The transparent windows cover the openings. The cooling liquid is visible from outside via the transparent windows. The liquid return pipe has a second accommodating space, a plurality of second liquid inlets and a second liquid outlet. The second accommodating space is configured to accommodate a cooling liquid, and is in fluid communication with the second liquid inlets and the second liquid outlet.

Manifold assembly and manifold

A bubble measurement system includes a bubble detector including a vessel having a flow path configured to receive a flow of fluid includes air bubbles from a bubble generator. The bubble measurement system includes an imaging system having an imaging device for imaging the fluid and air bubbles in the flow path of the vessel of the bubble detector. The imaging system has an imaging controller coupled to the imaging device and receiving images from the imaging device. The imaging controller processes the images to measure bubble size of each air bubble passing through the bubble detector.

Bubble measurement system and method

The present invention provides an anti-OX40 antibody or antigen-binding fragment thereof, a preparation method therefor and the use for treating OX40-related diseases or conditions.

Anti-OX40 antibody and uses thereof

A vision inspection system includes a sorting platform having an upper surface supporting parts for inspection. An inspection station is positioned adjacent the sorting platform including an imaging device to image the parts in a field of view. A vision inspection controller receives images from the imaging device. The vision inspection controller includes an image histogram tool to pre-process the images to improve contrast of the images by redistributing lightness values of the images based on adaptive histogram equalization processing to generate enhanced images. The vision inspection controller processes the enhanced images based on an image analysis model to determine inspection results for each of the parts. The vision inspection controller has an artificial intelligence learning module operated to customize and configure the image analysis model based on the enhanced images.

Vision inspection system and method of inspecting parts

A request to perform a write operation at a memory device is received. Current wordline start voltage (WLSV) information associated with a particular memory segment of the plurality of memory segments is retrieved. The write operation is performed on the particular memory segment. In a firmware record in a memory sub-system controller, information is stored indicative of a last written memory page associated with the particular memory segment on which the write operation is performed. The firmware record is managed in view of the information indicative of the last written memory page associated with the performed write operation. Each entry of the firmware record comprises one or more identifying indicia associated with a respective memory segment, at least one of the identifying indicia being a wordline start voltage (WLSV) associated with the respective memory segment.

Memory sub-system management based on dynamic control of wordline start voltage

A robotic labeling system includes a package locating system and a package identification station identifying a package orientation. The robotic labeling system includes a label application station having first and second label printers and first and second label applicators. The label printers are both capable of printing a shipping label and a customer specific label. The first label applicator applies a first label (either the shipping label or the customer specific label) to a first side of the package while the second label applicator applies a second label (other of the shipping label or the customer specific label) to a second side of the package different than the first side. The printing and application of the labels is based on the orientation of the package.

Robotic labeling system and method of labeling packages

A vision inspection system includes an imaging device that is configured to image parts being inspected. The vision inspection system includes a vision inspection controller that is configured to be communicatively coupled to a machine controller of the part manufacture machine by a communication network. The vision inspection controller communicates with the communication network using a first communication protocol. The vision inspection controller creates an absolute path directory at the machine controller. The vision inspection controller receives an image from the imaging device. The vision inspection controller communicates a first trigger to the absolute path directory upon receipt of the image from the imaging device. The vision inspection controller processes the image from the imaging device to determine inspection results for a first part of the parts. The vision inspection controller sends at least one of the image or the inspection results to the machine controller.

Part manufacture machine having vision inspection system

A vision inspection system includes a sorting platform having an upper surface supporting parts for inspection, wherein the parts are configured to be loaded onto the upper surface of the sorting platform in a random orientation. The vision inspection system includes an inspection station including an imaging device. The vision inspection system includes a vision inspection controller receiving images and processing the images based on an image analysis model to determine inspection results for each of the parts. The vision inspection controller has a shape recognition tool configured to recognize the parts in the field of view regardless of the orientation of the parts on the sorting platform. The vision inspection controller has an AI learning module operated to customize and configure the image analysis model based on the images received from the imaging device.

A vision inspection system includes a platform supporting parts for inspection at an inspection zone, an inspection station positioned adjacent the platform at the inspection zone including an imaging device to image the parts in a field of view above the upper surface, and a vision inspection controller receiving images from the imaging device. The vision inspection controller includes an auto focus module for orienting the imaging device relative to the inspection zone. The auto focus module determines a working distance for the imaging device from the inspection zone. The auto focus module calculates an image contrast score of pixel values of the images at various working distances from the inspection zone. The vision inspection controller causes the inspection station to operate the imaging device at an imaging working distance corresponding to the working distance associated with the highest image contrast score.

Auto focus function for vision inspection system

A terminal insertion quality monitoring system includes an acceleration sensor disposed on a gripper of a terminal insertion equipment and configured to detect a dynamic acceleration of the gripper while using the gripper to insert a terminal into a housing, a control parameter acquisition device configured to acquire a plurality of control parameters of the terminal insertion equipment while inserting the terminal into the housing, and an artificial intelligence system adapted to classify the detected dynamic acceleration and the acquired control parameters into a plurality of different insertion modes by analyzing and calculating the detected dynamic acceleration and the acquired control parameters. The different insertion modes have a plurality of different grades of terminal insertion quality. The artificial intelligence system is configured to monitor a terminal insertion quality of the terminal according to the insertion mode to which the detected dynamic acceleration and the acquired control parameters correspond.

Terminal insertion quality monitoring system

An elastic sealing ring expanding apparatus includes a base on which a plurality of posts are disposed, an assembly platform supported on the base by the posts, a plurality of rods movably mounted on the assembly platform, and a driving device mounted on the base. The driving device is configured to drive the rods to move from a center of a rectangle toward a plurality of corners of the rectangle along a plurality of straight paths, expanding an elastic sealing ring sleeved on the rods into a rectangular ring with a predetermined length-width ratio.

Elastic sealing ring expanding apparatus

Growing community of inventors

Shanghai, China

Lei Zhou