Nuctech Company Limited

Tsinghua University

Hulu, LLC

Huawei Cloud Computing Technologies Co., Ltd.

Boe Technology Group Co., Ltd.

Lenovo (beijing) Limited

Siemens Aktiengesellschaft

The Boeing Company

Xilinx, Inc.

Tencent Technology (shenzhen) Company Limited

Chengdu Boe Optoelectronics Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Theboeing Company

Beijing Institute of Technology

Chinese Academy of Agricultural Sciences

Xin Jin

Zhiqiang Chen

Li Ni Zhang

Qingping Huang

Yunda Sun

Le Shen

Liang Liao

Eric I Feng

Zhibing Wang

Ming Chang

Ji Zhao

Hua Zheng

Xiaofei Xu

Dandan Tu

Jun Yi Shan

Yuanjing Li

Yuxiang Xing

Li Zhang

Qionghai Dai

Huaping Tang

Richard W Tom

Jean-Paul Colaco

Jason A Kilar

Mingzhi Hong

Zhenhua Zhao

Eugene Chuan-Huai Wei

Yuming Liang

Andrew Cheng-min Lin

Tianyi Yang Dai

Varun Narang

Liang Li

Deliang Fu

Hu Tang

Baptiste Coudurier

Ting-Hao Yang

Wing Chit Mak

Thomas C Tate

Jiazan Xie

Brian Soebekti

Changzheng Zhang

Haisheng Wu

Xiaolei Jiang

Wuyang Liang

Xiaohua Zhu

Wenyuan Bi

Gang Sui

Yancai Wang

Binbin Yu

Xiaoping Yang

Zhu Ming

Ziran Zhao

Yinong Liu

Kejun Kang

Tao Yang

Shuo Wang

Hua Peng

Dan Liu

Hem C Neema

Huafeng Shan

Wenbin Yang

Li Yu

Juan Wang

Yonggang Wang

Zhi Tang

Luciano Lavagno

Sen Wang

Lei Zhang

Song Chen

Junxi Wang

Xiangyang Ji

Jinning Liang

Zhanfeng Qin

Hui Ding

Xin Ye

Pengyu Liao

Junqi Li

Eric Buehl

Chao Tan

Yongbing Zhang

Haoqian Wang

Zhuoyan Liu

Yufei Zhao

Yuhang Peng

Jiahao Li

Tiao Zhao

Andrew Cheng-Min Lin

Mingyuan Lu

Kaiwen Chen

Shuguang Li

Dehua Chang

Xinye Wu

Hongbin Hou

Jiadong Wang

Kaimin Cao

Hongwen Li

Qianlu Ren

Ting-hao Yang

Jinfeng Bi

Yi Zhang

Hongkai Yang

Inter-kernel dataflow analysis and deadlock detection includes, for each kernel of a plurality of kernels of a design, including, using computer hardware, a signal for the kernel that is asserted in response to all processes inside the kernel stalling, wherein the plurality of kernels form a strongly connected component. For each kernel of the plurality of kernels, the signal is asserted during operation of the design in response to each process in the kernel stalling. A notification is generated indicating that the strongly connected component is deadlocked in response to each kernel of the strongly connected component asserting the signal.

Inter-kernel dataflow analysis and deadlock detection

Various embodiments include a graphical programming method comprising: in a first interface, displaying a programming flowchart matching a target task, with at least two function blocks, and using the first interface to configure the function blocks and an execution logic between the function blocks; determining a first and a second function block from the programming flowchart, wherein the first function block is used for obtaining two pieces of information to be processed, and the second function block is used for obtaining information processing results corresponding to the first information; and configuring a control between the first function block and the second function block, used for determining a current information processing result according to the first information currently detected from the first function block and transmitting the current processing result to the second function block.

Graphical programming method, processor, and terminal

Mobile phone

A target region is first extracted from a to-be-recognized image, and then a defect coarse-selection region including an industrial defect is obtained from the target region. Through two times of region extraction, a proportion of a size of the industrial defect to a size of a background is increased, so that a probability of detecting a small-sized industrial defect can be increased. After the defect coarse-selection region including the industrial defect is detected, localization and size estimation are further performed on the industrial defect in the defect coarse-selection region.

Industrial defect recognition method and system, computing device, and storage medium

The present disclosure relates to an imaging system and method for radiographic inspection. The imaging system for radiographic inspection includes an inspection area including an imaging area; a first ray source assembly, all the first targets of which are arranged in a first ray source plane; a first detector assembly, the plurality of first detector units of which are arranged in a detector plane, the detector plane and the first ray source plane are spaced apart from each other in a travelling direction of the object under inspection with a predetermined distance; and a ray source control device, configured such that when the region of interest of the object under inspection is at least partially located in the imaging area, the first ray source assembly emits X-rays simultaneously from at least two first targets to the imaging area at the same time.

Imaging system and method for radiographic inspection

A commissioning method, tool and computer-readable storage media for an industrial device are proposed. A commissioning method for an industrial device includes: determining application type of the industrial device; displaying at least one macro relevant to the application type determined for a user to choose. A displayed macro includes a set of defined parameters of the industrial device relevant to the application type determined. Finally, the commissioning method includes receiving the choice of the user on macro.

Commissioning/configuration method, tool and computer-readable storage media for an industrial device

The present application relates to a deflection electrode assembly, an X-ray source, and an X-ray imaging system. The deflection electrode assembly includes: a first electrode plate, including a first connection portion and a plurality of first tooth portions, wherein the first electrode plate is formed as a comb shape; and a second electrode plate, including a second connection portion and a plurality of second tooth portions, wherein the second electrode plate is formed as a comb shape. The first electrode plate and the second electrode plate are not in contact with each other, and the plurality of first tooth portions and the plurality of second tooth portions are arranged at least partially in a staggered manner to form a plurality of electron beam passageways; each electron beam passageway is located between adjacent first and second tooth portions.

Deflection electrode assembly, X-ray source, and X-ray imaging system

A transduction unit of a non-contact human sleep physiological parameter detection sensor includes a circuit board, a piezoelectric film and conductive adhesives, wherein the piezoelectric film includes a film sheet and two electrodes, which are respectively arranged on two side faces of the film sheet; the piezoelectric film is attached to the circuit board; and the two electrodes of the piezoelectric film are respectively electrically connected to two exposed pad electrodes on the circuit board by means of the conductive adhesives.

Transduction unit of non-contact human sleep physiological parameter detection sensor

An example includes: receiving a call request containing a first functional block, searching a library for the block and displaying it; receiving a breakpoint setting request for a first event port, searching the library for codes of the block, analyzing the codes for the port, and adding a breakpoint flag at the port; receiving a monitoring parameter setting request, adding the name of the parameter, the port, and the first functional block to a monitoring parameter table; receiving a application program running request, searching the library for codes of each functional block, and running the codes according to the execution sequence relationship between blocks; and querying a monitoring parameter when the first block is run, then, if the monitoring parameter is found, acquiring the value of the parameter, and when a breakpoint flag is detected, pausing the running and displaying the current value on the interface.

Application program monitoring method and apparatus, and readable storage medium

The method includes: receiving an encoder signal and a ray machine output beam signal, and initially synchronizing the encoder signal and the ray machine output beam signal; recording coded value M of the encoder at moment t, and coded value N of the encoder at moment t, where M, N, and m are integers; determining that duration from the moment tto the moment tis an actual output beam time interval T of the ray machine, when it is determined that a difference value between the coded value M and the coded value N satisfies preset value a, a being an integer; determining gap time Tin the actual output beam time interval T based on a preset output beam time interval Tof the imaging system and the actual output beam time interval T; and controlling the ray machine not to emit beam within the gap time T.

Method and device for controlling output beam of ray machine in imaging system, and CT imaging system

An image analysis method, including: obtaining influencing factors of t frames of images, where the influencing factors include self-owned features of h target subjects in each of the t frames of images and relational vector features between the h target subjects in each of the t frames of images, self-owned features of each target subject include a location feature, an attribute feature, and a posture feature, and t and h are natural numbers greater than 1; and obtaining a panoramic semantic description based on the influencing factors, where the panoramic semantic description includes a description of relationships between target subjects, relationships between actions of the target subjects and the target subjects, and relationships between the actions of the target subjects.

Image analysis method and system

Disclosed is an image descattering method based on iterative optimization of an atmospheric transmission matrix, including steps: S1, constructing a descattering model based on the atmospheric transmission matrix; S2, estimating a forward scattering coefficient q corresponding to a foggy day image B; S3, based on a depth map T of the foggy day image B and the forward scattering coefficient q obtained in the step S2, estimating an initial atmospheric transmission matrix A; and S4, substituting the estimated initial atmospheric transmission matrix A into the descattering model in the step S1, and performing iterative update under a constraint condition, until a value of the descattering model satisfies a convergence condition, to obtain an optimal atmospheric transmission matrix A* and an optimal descattered image X*. The image descattering method based on the iterative optimization of the atmospheric transmission matrix provided by the present application is based on the atmospheric transmission matrix.

Image descattering method based on iterative optimization of atmospheric transmission matrix

Part of indoor unit for air conditioner

The present disclosure describes programming marking methods. Various examples include: displaying device controls for at least two operating devices associated with a target task to be executed, where the display configures programming logic of the device controls for the operating devices; determining a respective device group to which each of the operating devices belongs; configuring a group tag for the operating device used for marking the device group; and displaying on a second interface a programming flowchart used when the operating devices execute the target task. The programming flowchart includes at least two function blocks. Each of the function blocks is controlled by one operating device to perform one processing action. Each of the function blocks is marked with a group tag matching the operating device. The second interface configures the function blocks and the execution logic between the function blocks.

Programming marking method, processor, terminal, and computer program product

Display screen with graphical user interface

Growing community of inventors

Beijing, China

Xin Jin