Microsoft Technology Licensing, LLC

Beijing Tusen Zhitu Technology Co., Ltd.

Huawei Technologies Co., Limited

Beijing Xiaomi Mobile Software Co., Ltd.

Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

Hefei Boe Display Lighting Co., Ltd.

Boe Technology Group Co., Ltd.

China Petroleum & Chemical Corporation

Research Institute of Petroleum Processing, Sinopec

Boe Technology Groupco., Ltd.

Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd.

China Petrochemical Corporation

Beijing Tusen Weilai Technology Co., Ltd.

Xinjiang Goldwind Science & Technology Co., Ltd.

Yong Xu

Wenrui Li

Qingwei Lin

Nan Wu

Kunsheng Chen

Peng Liu

Dan Li

Wei Lin

Yu Zou

Tao Wang

Yang Wang

Thomas Moscibroda

Karthikeyan Subramanian

Zhiyao Wang

Si Qin

Shandan Zhou

Qingxin Bi

Kaixin Sui

Ningning Li

Xing Xing Wang

Ajay Mani

Fen Tang

Saurabh Agarwal

Nisarg Tarakkumar Sheth

Sorin Iftimie

Sandeep Ramji

Paul Naveen Selvaraj

Wanghai Gu

Yuan Gao

Xingtian Shu

Qing Ql Li

Chao Zhu

Yibin Luo

Yongjun Liu

Ying Shen

Yiming Li

Wenbo Sun

Yuqing Li

Qiping Zhang

Baoning Zong

Xuhong Mu

Wei Yin

Keliang Xun

Weiwei Chen

John Lawrence Miller

Chong Wang

Minggang Li

Jinfeng Li

Wenhui Xie

Eli Cortez

Jitai Xia

Yicheng Wang

Jinyu Zheng

Wenhua Xie

Jiake Xu

Zhaohua Guo

Zhiqiang Zhu

Zungan Ling

Shanti Kemburu

Dadong Guo

Ziping Zhang

Guolu Gao

Zhenggang Ling

Zhengjun Wang

Rihua Zhang

Guibin Hou

Bo Ma

Teng Li

Guo Quan Jin

Lian Di Shang

JiQuan Jin

Guo Chun Luo

Xiaoyu Dong

Bingkun Xue

Ziyi Yuan

Haoqian Zhang

Yiming Ma

Zhiyu Ma

Shenghui Li

XiaoFei Gou

Xiaoping Lu

Cuihua Fu

Christopher Cowdery

The present application relates to the technical field of processing of degradable materials, and in particular to a granulation processing method for a low-melt-index degradable material, and a shaped body prepared thereby. The granulation processing method for the degradable material provided by the present invention comprises: reducing the temperature of a screw rod for multiple times and increasing the rotating speed of the screw rod during an extrusion crystallization granulation process. The granulation processing method provided by the present invention is beneficial to improving the crystallization rate of the material during the granulation processing process, and reduces the influence caused by shear heat and relatively high processing temperature, thereby obtaining a granular material having a lower melt index.

Granulation processing method for low-melt-index degradable material, and shaped body prepared thereby

The present disclosure relates to autonomous driving technology, and provides a method and an apparatus for positioning a movable device, as well as a movable device. The method includes: obtaining point cloud data for a predetermined area above the movable device; extracting, from the point cloud data, a first type of point cloud and a second type of point cloud on a left side and a right side of the movable device, respectively; matching the first type of point cloud and the second type of point cloud to obtain a transform matrix; and determining pose information of the movable device based on the transform matrix. With the above process, the present disclosure can solve the problem in the related art associated with accurate positioning of a movable device when GNSS signals are affected and it is difficult to accurately obtain point cloud data in front of the movable device.

Method and apparatus for positioning movable device, and movable device

The present disclosure relates to a method, an apparatus, a medium, and a device for processing vehicle data. According to the embodiments of the present disclosure, a vehicle mounted server on each vehicle in a platoon can determine a position of the vehicle based on position information and parameter value information of one or more specified kinematic parameters transmitted by another vehicle mounted server on a vehicle in front of the vehicle and determined parameter value information of one or more specified relative pose parameters between the vehicle where the vehicle mounted server is located and the vehicle in front of the vehicle where the vehicle mounted server is located. In this way, as the position of the leading can be determined accurately, the position of each following vehicle can also be determined accurately despite presence of a blind area when its forward field of view is blocked.

Platoon positioning system and method based on vehicle to vehicle communication and using relative pose information between vehicles in a platoon

Provided in the present application are an operating method of a medical imaging system and a medical imaging system. The operating method of the medical imaging system includes performing exposure setting of a next object during image processing of medical image data of a current object.

Operating method of medical imaging system and medical imaging system

The present disclosure discloses a method, apparatus, medium, and device for vehicle automatic navigation control. With the solutions according to the embodiments of the present disclosure, in a vehicle automatic navigation control process, a first vehicle-mounted server can receive automatic navigation information corresponding to another vehicle, and determine a vehicle-mounted server identifier of a vehicle to form a platoon with a vehicle where the first vehicle-mounted server is located based on automatic navigation information corresponding to the vehicle where the first vehicle-mounted server is located, and transmit a platooning request to a second vehicle-mounted server corresponding to the determined vehicle-mounted server identifier of the vehicle to form the platoon, such that the vehicle where the first vehicle-mounted server is located can form the platoon with another vehicle, and the vehicle where the first vehicle-mounted server is located can be controlled to move as a following vehicle of the other vehicle.

Method, apparatus, medium, and device for vehicle automatic navigation control

Systems and techniques for multi-phase cloud service node error prediction are described herein. A set of spatial metrics and a set of temporal metrics may be obtained for node devices in a cloud computing platform. The node devices may be evaluated using a spatial machine learning model and a temporal machine learning model to create a spatial output and a temporal output. One or more potentially faulty nodes may be determined based on an evaluation of the spatial output and the temporal output using a ranking model. The one or more potentially faulty nodes may be a subset of the node devices. One or more migration source nodes may be identified from one or more potentially faulty nodes. The one or more migration source nodes may be identified by minimization of a cost of false positive and false negative node detection.

Multi-phase cloud service node error prediction based on minimization function with cost ratio and false positive detection

The present application provides an X-ray imaging system and a collision prevention method therefor. The X-ray imaging system includes a tube device, at least one sensor, and a controller. The tube device is capable of moving to a preset position so as to emit an X-ray. The at least one sensor is mounted on at least one surface of the tube device. The at least one sensor is configured to acquire a feedback signal within a preset sensing region. The controller is connected to the at least one sensor and the tube device, and the controller includes a determination module and a control module. The determination module is configured to determine, on the basis of the feedback signal, whether an obstacle is present in the preset sensing region and acquire position information of the obstacle. The control module is configured to control motion of the tube device on the basis of the position information of the obstacle.

X-ray imaging system and collision prevention method therefor

Systems and techniques for multi-factor cloud service storage device error prediction are described herein. A set of storage device metrics and a set of computing system metrics may be obtained. A feature set may be generated using the set of storage device metrics and the set of computing system metrics. Members of the feature set may be validated by evaluating a validation training dataset using the members of the feature set. A modified feature set may be created based on the validation. A storage device failure model may be created using the modified feature set. A storage device rating range may be determined by minimizing a cost of misclassification of a storage device. A set of storage devices to be labeled may be identified as having a high probability of failure.

Multi-factor cloud service storage device error prediction

Solar panel

The present disclosure relates to systems, methods, and computer readable media for predicting expansion failures and implementing defragmentation instructions based on the predicted expansion failures and other signals. For example, systems disclosed herein may apply a failure prediction model to determine an expansion failure prediction associated with an estimated likelihood that deployment failures will occur on a node cluster. The systems disclosed herein may further generate defragmentation instructions indicating a severity level that a defragmentation engine may execute on a cluster level to prevent expansion failures while minimizing negative customer impacts. By uniquely generating defragmentation instructions for each node cluster, a cloud computing system can minimize expansion failures, increase resource capacity, reduce costs, and provide access to reliable services to customers.

Predicting expansion failures and defragmenting cluster resources

A waypoint information transmission method, apparatus and system for platooning are provided. An example method for transmitting waypoint information of a platooning comprises: receiving, by an apparatus for transmitting waypoint information in real time, waypoint information of each cycle sent by a leading vehicle-mounted apparatus mounted on a leading vehicle; storing, by the apparatus, the waypoint information of each cycle, so as to form historical waypoint information; receiving, by the apparatus, a waypoint information transmission control instruction sent by the leading vehicle-mounted apparatus, and determining, according to the waypoint information transmission control instruction, target waypoint information based on the historical waypoint information; and sending, by the apparatus, the target waypoint information to a first vehicle-mounted apparatus mounted on a first following vehicle that is following the leading vehicle and to be enqueued for the platooning.

Waypoint information transmission method, apparatus and system for platooning

A vehicle control method for platooning vehicles includes determining, for a first following vehicle, a predicted movement state information, and a lead vehicle predicted movement state information of a lead vehicle corresponding to a number of time points in the future. In the vehicle control method, when there is an adjacent second following vehicle, second following vehicle predicted movement state information corresponding to the number of time points is determined, and also includes determining optimized control quantities corresponding to respective ones of the number of time points, including determining an overall constraint model based on constraints between the first following vehicle and the lead vehicle, and constraints between the first following vehicle and the second following vehicle; determining the optimized control quantities; and performing longitudinal control in accordance with the optimized control quantities. A vehicle and an apparatus mounted therein may execute the vehicle control method.

Vehicle control method for platooning, vehicle mounted apparatus and vehicle

Growing community of inventors

Beijing, China

Yong Xu