International Business Machines Corporation

Beihang University

Peking University

Samsung Electronics Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Optoelectronics Technology Co., Ltd.

Lenovo (beijing) Limited

Beijing Zitiao Network Technology Co., Ltd.

New H3c Technologies Co., Ltd.

Intel Corporation

Huawei Technologies Co., Limited

Hewlett Packard Enterprise Development LP

Tsinghua University

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing University of Technology

Jia Qi Li

Fan Jing Meng

Qinping Zhao

Tian Wu

Yuk Lung Chan

Lei Yu

Hong Min

Xiaowu Chen

Zi Xiao Zhu

Zhi Shuai Han

Qiang Wang

Lin Y Yang

Feng Shi

Pei Ni Liu

Changqun Xia

Yu Zhang

Keun Woo Park

Ru Huang

Hyunsurk Eric Ryu

Jiewen Fan

Dongqing Zou

Xiaoyan Xu

Weiheng Liu

Li Wang

Jing Min Xu

Jingtao Xu

Deheng Qian

Wanli Che

Zhenan Li

Qing Song

Yifan Zhao

Qingzeng Shan

Anlin Zheng

Qianqian Xie

Shaokun Shi

Wei Sun

Tao Chen

Liang Zhang

Jun Zhang

Chen Wang

Bin Zhou

Hyun Surk Ryu

Amith Singhee

Yi Liu

Dong Sheng Li

Honggang Li

Jun Ming Yan

Xiaogang Wang

Zhilong Peng

Matt Richard Hogstrom

Kyoobin Lee

Qing Bo Wang

Wei Jiang

Yifan Yu

Junmei Qu

Hua Chen

Jing Sun

Feng Lu

Qian Chen

Runsheng Wang

Hyunku Lee

Xiao-Ping Zheng

Hua Geng

David Scott Wenk

Peifu Tang

Jianfeng Zhang

Xiao-Jiao Deng

Jingang Hao

Wei Ma

Shan Zhang

Changwoo Shin

Saravanan Krishnan

Yu Lu

Wei H Liu

Du Chen

Chi Ma

Lijuan Duan

Yonghong Tian

Han Lv

Zhentao Li

Zhenchang Wang

Yawen Liu

Shuang Chen

Huibo Zhang

Yinzhi Dong

Wenbo Yang

Xiang Cui

Yunchao Gao

Pengling Ren

Yunfeng Zhao

Fanhua Feng

Licheng Zhang

Linkun Cai

Jun Miao

Rahamim Katan

Vini Kanvar

Zhixing Lei

Sansheng Yang

Rui Dong

Weijie Sun

Embodiments of the disclosure provide a method, apparatus, device, and storage medium for content capturing. The method includes, presenting a first capturing page corresponding to a single-segment capturing mode to capture a first video segment; in response to an indication of capturing completion being detected while the first capturing page is being presented, presenting a first editing page for editing at least the first captured video segment; and presenting a second capturing page to capture a second video segment based on an indication of new capturing being detected while the first editing page is being presented. In this way, it is possible for users to conduct content creating more easily and quickly, and different capturing requirements can further be met.

Method, apparatus, device and storage medium for content capturing

A networking device includes communication interfaces, a System-on-Chip (SoC), and pseudo-sleep mode logic. The SoC includes a processor, a memory, an internal PHY module, and other internal SoC modules. The pseudo-sleep mode logic is configured to detect receipt of a sleep command and, in response, cause the networking device to enter a pseudo-sleep mode in which the internal SoC modules are powered off, except for the internal PHY module, the processor, and the memory, which remain powered on. The logic is also configured to detect receipt of a wake command while the networking device is in the pseudo-sleep mode and, in response, cause the networking device to exit the pseudo-sleep mode.

Pseudo-sleep mode for networking devices

A method and system for operation objects discovery from operation data includes performing pattern matching of operation data with patterns in a database. Fields in the operation data are identified as having matching patterns with the database as first potential objects. Data profiling is performed on unmatched fields of the operation data to generate data profiles. The data profiles are field classified and second potential objects are generated. The first potential objects and the second potential objects are de-duplicated, and operation objects are generated.

Method and system for operation objects discovery from operation data

An elastic intramedullary fixation device includes a serpentine frame and a shell, the inner surface of the shell is rotatably connected with a locking rod, one end of the locking rod is inserted with a key rod, one end of the shell is inserted with a clamping rod, the outer surfaces of the clamping rod and the key rod are sleeved with a connecting sleeve, the outer surfaces of the clamping rod and the key rod are provided with a connecting component, and the surfaces of the clamping rod and the shell are provided with a self-locking component. By configuring a connecting component and a self-locking component, the connecting component not only allows for the adjustment of the positional relationship between the key rod and the clamping rod, but also enables engagement with the locking component, thereby enhancing the stability of the connection between the clamping plate and the shell.

Elastic intramedullary fixation device

Embodiments of the present disclosure provides a fine-grained image recognition method and apparatus using graph structure represented high-order relation discovery, wherein the method includes: inputting an image to be classified into a convolutional neural network feature extractor with multiple stages, extracting two layers of network feature graphs in the last stage, constructing a hybrid high-order attention module according to the network feature graphs, and forming a high-order feature vector pool according to the hybrid high-order attention module, using each vector in the vector pool as a node, and utilizing semantic similarity among high-order features to form representative vector nodes in groups, and performing global pooling on the representative vector nodes to obtain classification vectors, and obtaining a fine-grained classification result through a fully connected layer and a classifier based on the classification vectors.

Fine-grained image recognition method and apparatus using graph structure represented high-order relation discovery

Disclosed are a hearing state prediction apparatus and method based on a diffusion tensor image, including: obtaining a diffusion tensor image to be processed, wherein the diffusion tensor image comprises a diffusion-weighted image; generating a diffusion index image based on the diffusion-weighted image; determining a white matter microstructural feature corresponding to the diffusion tensor image, and determining a hearing state corresponding to the diffusion tensor image according to a mapping relationship between the white matter microstructural feature and the hearing state. The apparatus may generate the diffusion index image through the diffusion-weighted image included in the diffusion tensor image, and then the white matter microstructural feature is determined based on the diffusion index image, so that the white matter microstructural feature can be identified more accurately, and the accuracy of a hearing state evaluation result is improved. Meanwhile, the relation between hearing disorder and brain microstructure change is disclosed.

Hearing state prediction apparatus and method based on diffusion tensor image

Embodiments of the disclosure provide a method, apparatus, device, and storage medium for content capturing. The method includes, in response to a capturing start instruction, presenting a capturing start page which including at least a capturing control; in response to detecting a trigger instruction for the capturing control, switching from the capturing start page to a capturing page for video capturing, the capturing page including at least a stop control and a pause control, and the stop control being presented in a more prominent way than the pause control; and in response to detecting a trigger instruction for the stop control, switching from the capturing page to a video editing page, the video editing page being used to edit a captured video. In this way, it is possible for users to quickly perform video capturing and directly enter the editing page to complete editing of a work.

A display method applied to a first electronic device includes obtaining a first display request sent by a second electronic device and a second display request sent by a third electronic device, determining a first channel of display data from a plurality of channels of display data configured at the first electronic device based on the first display request and transmitting the first channel of display data to the second electronic device to output the first channel of display data in a display unit of the second electronic device, and determining a second channel of display data from the plurality of channels of display data based on the second display request and transmitting the second channel of display data to the third electronic device to output the second channel of display data in a display unit of the third electronic device.

Display method and device

A method, computer system, and a computer program product are provided for dynamic viewing of an operation graph depicting a distributed workload in an Information Technology system. A list may be received as input and may include selected nodes. A sub-graph may be abstracted from a global graph. The sub-graph and the global graph may depict interactions among ops objects of the distributed workload using nodes and edges. First nodes may be removed from the global graph according to the list. Direct edges between remaining nodes from the global graph may be maintained. A first indirect edge may be generated based on the removed first nodes. The first indirect edge may run between a first remaining node and a second remaining node. The sub-graph may be presented removed from the global graph.

Dynamic graphing for managing an IT operation system

Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to integrate documentation knowledge with log mining data. A non-limiting example computer-implemented method includes determining a message-message relationship based on log message documentation and building a first subgraph based on the message-message relationship. The method further includes receiving a first message log entry having a message identifier and message field data. A second message log entry is correlated with the first message log entry based on at least one of the message identifier and the message field data. A second subgraph is built that includes the first message log entry and the second message log entry. The method includes building a graph that includes the first subgraph and the second subgraph.

Integrating documentation knowledge with log mining for system diagnosis

The embodiments of the present disclosure disclose data simulation method and device for event camera. A specific embodiment of the method includes: decoding the video to be processed to obtain a video frame sequence; inputting a target video frame to a fully convolutional network UNet to obtain event camera contrast threshold distribution information; sampling each pixel in the target video frame to obtain an event camera contrast threshold set; performing processing on the event camera contrast threshold set and the video frame sequence, to obtain the simulated event camera data; performing generative adversarial learning on the simulated event camera data and event camera shooting data, to obtain updated event camera contrast threshold distribution information; generating simulated event camera data. The present disclosure is a computer vision system that can be widely applied to such fields as national defense and military, film and television production, public security, and etc.

Data simulation method and device for event camera

An early warning method for safety production risk of tailings pond based on risk ranking is provided. The early warning method includes: monitoring and collecting internal basic data of a tailings pond in real-time, and performing a basic monitoring and a basic early warning; collecting geographical location data, meteorological data, and historical geological disaster data of an area where the tailings pond is located; performing risk ranking on a safety production risk of the tailings pond, thereby obtaining a risk level of the tailings pond; and collecting case data of global tailings pond accidents and hazard degree data thereof, acquiring accident solution strategies for the global tailings pond accidents, performing management and monitoring on the tailings pond, setting parameters in a process of the basic monitoring, and performing a ranked early warning on the safety production risk of the tailings pond based on the risk level.

Early warning method for safety production risk of tailings pond based on risk ranking

Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the data set and obtaining a set of templates, wherein one or more template of the set of templates includes a variable labeled as the data type. Aspects also include annotating the data set based on the set of templates, wherein the annotating includes labeling each value of the variable in the data set with the data type. Aspects further include creating an updated data set by replacing each value of the variable in the data set that is labeled with the data type with a new data value.

Removing data having a data type from a data set

Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to perform message correlation extraction for mainframe operation. A non-limiting example computer-implemented method includes receiving a first message log entry having a message identifier and message field data. The first message log entry is pre-processed to determine the message identifier and to tokenize the message field data. A second message log entry is identified based on at least one of the message identifier and the tokenized message field data. The method further includes determining that the second message log entry is correlated with the first message log entry and providing an output comprising the message correlation between the first message log entry and the second message log entry.

Message correlation extraction for mainframe operation

Provided are an application interface implementation method and apparatus in a host platform layer, a device, and a storage medium, which relate to the field of computer technologies. The implementation scheme includes: the host platform layer acquiring description data of a terminal capability interface; parsing the description data to acquire a communication mode of the terminal capability interface; and configuring a corresponding processor according to the communication mode, configuring a corresponding concept mapping relationship according to the communication mode, or configure a corresponding processor and a corresponding concept mapping relationship according to the communication mode to encapsulate a platform layer interface of the terminal capability interface, where the platform layer interface is configured to process data of communication interactions in a process in which a mini program calls the terminal capability interface through the host platform layer.

Application interface implementation method in a host platform layer, device, and medium

Growing community of inventors

Beijing, China

Jia Qi Li