Huawei Technologies Co., Limited

Honeywell International Inc.

Emc IP Holding Company LLC

Shanghai Tianma Micro-electronics Co., Ltd.

Tianma Micro-electronics Co., Ltd.

Henkel Ag & Company, Kgaa

Semiconductor Manufacturing International (shanghai) Corporation

Carrier Corporation

Omnivision Technologies, Inc.

Semiconductor Manufacturing International (beijing) Corporation

Murata Manufacturing Co., Ltd.

Paypal, Inc.

Lear Corporation

Shanghai Jiaotong University

Givaudan S.a.

Chao Wang

Donghui Wu

Bin Chen

Jiaju Yue

Jizhang Shan

James Odis Pendergraft

Wei Wang

Kuochin Chang

Zhen Jia

Yan Chen

Zhaokeng Cao

Nan Wang

Yiqun Wu

Qiang Chen

Bin Li

Yun Gang Li

Haitao Zhou

Yu Hua

Jichao Zhang

Orville Nyhus

Kenneth D Lee

Liqing Zhang

Yang Liu

Wei Zhang

Jun Chen

Yong Yuan

Xiaoxiao Zheng

Chao Li

Lingli Pang

Xinyu Wang

Andreas Goeke

Lei Jiang

Yue Zou

Eiichi Funatsu

Feng Huang

Chao Wu

Andreas Natsch

Chunfu Chen

Yijun Chen

Kuanchieh Yu

Jialong Wang

Guicai Zhang

Shan Zhang

Qijun Qian

Julie Charpentier

Zhaowei Xin

Peter Jun Peng

Hui Pan

Jiangtao Kuang

Lei Ding

Kunquan Sun

Shijie Liu

Robert Guowu Xia

Jianliang Ma

Zhe Xu

Ming Wen

Yanbing Yu

Kah-Ong Tan

Ke Jin

Yujie Zhu

Tianzhong Guo

Minghua Zhu

Masao Kanari

Jieke Shi

Leo Hao Li

Zhijun Dai

Zhou He

Lijun Zhou

Xinhua Su

Roger Emter

Huajun Jin

Huan Xie

Xiaoxia Shu

Simon Alexander Jensen-Fellows

AiFu Che

Xiong Xu

Lianzhen Cui

Junliang Zhang

Xiaojing Cheng

Shaoyu Yang

Ning Tan

Guanghua Wei

Wenwan Feng

Linfang Li

Link Yu

Kangzheng Wang

Chaomin Mao

Xiaowu Li

Qiao Shi

Runshun Wang

Lien Huang Cheng

Joseph James Longever, Jr

Xiaoguang Fu

Yunfeng Ma

Xingwang Cai

Nicolas Cocito Armanino

Xiaohua Tong

Xin Lin

Yanmin Jin

The present application provides a system and a method for acquiring an image, an electronic device, and a computer-readable storage medium. The system for acquiring an image provided in the present application provides a correction reference with uniform illumination by adjusting the positional relationship between the light source and the correction reference, and acquires at least one image of the correction reference by the image acquisition device to be corrected. Wherein, the correction image obtained based on the at least one image may be used to perform lens shading correction on the image acquisition device. The system for acquiring an image does not require the use of an expensive integrating sphere, which may reduce purchase and maintenance costs of a testing device for obtaining a correction image.

System, method, electronic device, and computer-readable storage medium for shading correction in image acquisition

Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

Document image quality detection

The invention relates to a T cell expressing an antibody or comprising the coding sequence of the antibody or an expression vector thereof; the antibody contains an optional signal peptide, an antigen binding sequence and a mutant type Fc segment, wherein the mutant type Fc segment is a Fc segment in which amino acid residues at the 17th site and the 79th site of the IgG4 Fc segment shown by SEQ ID NO: 25 are mutated into E and Q respectively. Preferably, the T cell is a CAR-T cell. The present invention further relates to a treatment application of the T cell in malignant tumors.

Antibody-modified chimeric antigen receptor modified T cell and uses thereof

The present application provides a voice scene update method, including: sending an update request to a cloud, the update request enables the cloud to obtain version information of vehicle voice scene data and version information of at least one piece of cloud voice scene data in real time to determine whether updatable voice scene data exists or not and determine target voice scene data when the updatable voice scene data exists, the at least one piece of cloud voice scene data includes new-version cloud voice scene data obtained by updating original-version cloud voice scene data based on no-feedback voice information, and the no-feedback voice information is a voice that no feedback is capable of being given for based on the vehicle voice scene data; receiving the target voice scene data returned by the cloud; and updating the vehicle voice scene data into the target voice scene data.

Voice scene update method and device, terminal, server and system

The present invention relates to a method for asynchronously storing massive data generated during high speed video measurement, the method including the following steps: step (1), constructing a high speed video measurement hardware model; and step (2) realizing asynchronous I/O real-time storage in a high speed solid state disk on the basis of Windows core programming. Compared with the prior art, the present invention solves the problems of incompleteness or frame drop during real-time storage of massive data, and realizes real-time and lossless storage of massive high speed data.

Method for asynchronously storing massive data generated during high speed video measurement

A high-performance thermoformed component provided with a coating, and a manufacturing method therefor. The thermoformed component comprises a substrate and a coating thereon. The substrate comprises the following ingredients in percentage by weight: 0.01-0.8% of C, 0.05-1.0% of Si, 0.1-5% of Mn, 0.001-0.3% of P, 0.001-0.1% of S, 0.001-0.3% of Al, 0.001-0.5% of Ti, 0.0005-0.1% of B, 0.001-0.5% of Nb, 0.001-0.5% of V, and the remainder being Fe and other unavoidable impurities. The appearance of the thermoformed component has no color difference and no mottling. The surface oxygen content of the thermoformed component is 0.1-20 wt. %, and the ratio of the standard deviation to the average value of the surface oxygen content satisfies: 0<standard deviation of oxygen content/average value of oxygen content ≤0.3. In the manufacturing method, a coated steel plate that has undergone heat treatment, transfer processing, and hot stamping is not treated with oil.

High-performance thermoformed component provided with coating, and manufacturing method therefor

A track assembly includes a track and a support member connected to and configured move along the track. The support member may include an engagement portion. The engagement portion may be configured to engage the track to limit relative movement between the track and the support member in a loaded state of the track assembly. The engagement portion may be configured not to operatively engage the track or limit movement between the track and the support member in an unloaded state of the track assembly.

Track assembly

Methods, apparatus, and computer programs stored on a computer-readable storage medium for obstacle avoidance are provided. One example method includes obtaining vehicle information, obstacle information, and a drivable area of a vehicle at a moment t, and processing the drivable area based on the vehicle information and the obstacle information to obtain a potential energy grid map. The method can include obtaining information about a center line of a lane in which the vehicle is currently located, and obtaining a parallel-line track cluster based on the information about the lane center line. The method can include calculating a cost value of each parallel-line track, and performing time-domain filtering on a parallel-line track with a minimum cost value in the parallel-line track cluster to obtain a target track at the moment t specifying a parallel line track that is used by the vehicle to avoid an obstacle.

Obstacle avoidance method and apparatus

A membrane electrode with ultra-low oxygen mass transfer resistance includes an anode catalyst layer, a proton exchange membrane (PEM), and a cathode catalyst layer. A catalyst in the cathode catalyst layer is negatively charged, and the cathode catalyst layer is further doped with a negatively charged carbon carrier. A carbon carrier of the cathode catalyst layer in the membrane electrode is negatively charged, thereby optimizing the distribution of ionomers to achieve the purpose of reducing an oxygen mass transfer resistance in the cathode catalyst layer. In addition, an appropriate amount of the negatively charged carbon carrier is doped to increase a local oxygen concentration near active sites. In conclusion, the two methods of modifying with a negative charge and doping a negatively charged carbon carrier are used to optimize the local mass transfer resistance in an electrode and thus improve the cell performance.

Membrane electrode with ultra-low oxygen mass transfer resistance

The present invention is directed to a two component (2K) composition comprising:

Two component (2K) composition based on modified epoxy resin

This invention relates to a two-part epoxy based composition, comprising a first part comprising at least one epoxy resin; a second part comprising at least one epoxy resin curing agent, and at least one acrylamide compound containing a hydrogen atom bound to the nitrogen atom in the acrylamide structure. The two-part epoxy based composition according to the present invention exhibits excellent adhesion strength to low surface tension substrates, such as stainless steel and PVC.

Two-part epoxy based composition

A system for predicting a surge of a centrifugal refrigeration compressor including a signal capturing module for capturing at least two signals relevant to the centrifugal refrigeration compressor; a feature extracting module defining a window period for extracting data of the at least two signals, and defining at least two feature functions respectively acting on the data in the window period of the at least two signals; and, a feature analyzing and deducing module calculating a feature value for each of the signals to map a probability value of surge prediction for each of the signals, and concluding, based on the probability value of the surge prediction of each of the signals, a final probability value to determine whether or not the surge will occur to the centrifugal refrigeration compressor.

System and method for predicting a surge of a centrifugal refrigeration compressor and air-conditioning unit

An example method of single-exposure multiple-frame image capture, making an HDR video, comprising, capturing a series of frames at an underexposed setting, selecting a reference image from the series of frames, aligning the series of frames to the reference image, merging the series of frames into one frame based on the reference image, indexing the reference image to a next frame in the series of frames, resulting in an indexed reference image, realigning the series of frames to the indexed reference image and remerging the series of frames into a single frame based on the indexed reference image.

Generating high dynamic range video using low dynamic range image sensor

A method for providing cues to an aerial vehicle operator is disclosed. The method includes: determining when a vehicle is on final approach; processing a plurality of ground images of a ground path ahead of the vehicle; identifying a lane in the processed ground images; determining whether the identified lane corresponds to an assigned runway based on a relative position or a relative geometry of the identified lane; tracking during landing a left and a right side edge, a front edge, and a runway center line of the assigned runway; determining, relative to the runway center line, whether a relative position of the vehicle during landing is left of, right of, or aligned with the runway center line; and providing visual and/or audible guidance to the vehicle operator to take corrective action when the relative position of the vehicle during landing is not aligned with the runway center line.

System and method for visual aided landing

An example operation of depth map generation includes one or more of, simultaneously capturing a main-off camera image and an auxiliary-off camera image with an unpowered flash, sparse depth mapping an object based on the main-off camera image and the auxiliary-off camera image, capturing a main-on camera image with a powered flash, foreground probability mapping the object based on the main-off camera image and the main-on camera image and dense depth mapping the object based on the sparse depth map and the foreground probability map.

Multiple camera system with flash for depth map generation

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Shanghai, China

Chao Wang