International Business Machines Corporation

Boe Technology Group Co., Ltd.

General Electric Company

Beijing Boe Optoelectronics Technology Co., Ltd.

Chengdu Boe Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Beijing Baidu Netcom Science Technology Co., Ltd

London Health Sciences Centre Research Inc.

Beijing Hjimi Technology Co., Ltd

Beijing Boe Technology Development Co., Ltd.

Ge Medical Systems Global Technology Company, LLC

Sichuan University

Beijing Boe Sensor Technology Co., Ltd.

Capitalbio Corporation

Beijing Baidu Netcom Science and Technology Co., Ltd.

Shuo Li

Xiaobo Wang

Sheng Yan Sun

Xin Yang

Hong Mei Zhang

ShengYan Sun

Xin Peng Liu

Ke Wei Wei

Ping Liang

Meng Wan

Peng Hui Jiang

Jian Wei Zhang

Zongze He

Hao Feng

Liang Zhang

Shu Hua Liu

Xiao Xiao Chen

Heng Liu

Chao Tian

Jia Tian Zhong

Yue Wang

Rui Li Xu

Zhe Wang

Min Wang

Jun Feng Liu

Li Ping Yang

Min Li

Prakash Mahesh

Hua Wang

Ping Wang

Ling Shi

Liguang Deng

Dan Su

Li Cao

Wei Wang

Wei Liu

Ming Wang

Yue Li

Li Li

Jing Wang

Heecheol Kim

Xiang Sean Zhou

Chun Long Wang

Zhao Li

Jieqiong Wang

Xiuyun Chen

Guangquan Wang

Jianying Li

Yang Liang

Xu Liang Li

Hui Sun

Ke Wei Sun

Jun Li Wang

Zhiming Meng

Yanjun Liu

Kun Liu

Jiangliang Guo

Fan Fan

Teng Chen

Lei Wang

Jiang Hsieh

Yu Wang

Xin Zhou

Jian Xu

Jing Cheng

Chuncheng Che

Jun Li

Yipeng Chen

Xiao Ming Ma

Yuan He

Yu Huang

Yi Bu Li

Thomas Abel Beavin

Ke Liu

June-Ray Lin

Meng Wang

You-Chin Gene Fuh

Yue Liu

Ming Zhai

He Fang Zhang

Xing Xing Shen

Jeffrey William Josten

Hui Jiang

Guan Jun Liu

Wanli Xing

Jiang Li

Yao Hu

Bingqiang Gui

Jun Liu

Xiang Chen

Mai Zeng

Chun Lei Xu

Wenqiang Li

Zhifeng Zhang

Fei Fang

Fang Zhang

Chunnan Feng

Hui Lu

A product recognition method and device, a model training method and device, and an electronic device are provided. The product recognition method includes: obtaining image data of a product; performing defect recognition on the image data based on a first recognition model, to obtain a first recognition result, wherein the first recognition model is configured to recognize a defective product; performing qualification recognition on the image data based on a second recognition model to obtain a second recognition result, wherein the second recognition model is configured to recognize a qualified product; determining a target recognition result of the product based on the first recognition result and the second recognition result.

Product recognition method, model training method, device and electronic device

A display substrate and a display device are disclosed, the display substrate has a plurality of sub-pixels arranged in an array, and includes a base substrate, a driving circuit layer, a light-emitting device layer, and a black matrix layer. Each sub-pixel includes a pixel driving circuit in the driving circuit layer and a light-emitting device in the light-emitting device layer, and the black matrix layer includes a plurality of first light-transmitting openings respectively exposing light-emitting devices (EM) of the plurality of sub-pixels, and includes a plurality of second light-transmitting openings respectively between the plurality of first light-transmitting openings. The driving circuit layer includes a plurality of light-transmitting portions, and each of the plurality of second light-transmitting openings is provided corresponding to at least one of the plurality of light-transmitting portions for transmitting light in a predetermined angle range with the surface of the display substrate.

Display substrate and display device having light-transmitting openings and light-transmitting portions

A method, system, and computer program product for using logical segments to help manage database tasks and performance for SQL parallelism. The method may include identifying a database object within a database resource of a database. The method may further include determining a database access method for the database object. The method may further include dividing data within the database object into a plurality of logical segments based on the database access method. The method may further include receiving a query for the database. The method may further include identifying the database object that corresponds to the query. The method may further include analyzing the logical segments of the database object. The method may further include distributing access to the database resource based on the logical segments of the database object.

Dynamically deploying execution nodes using system throughput

A voice conversion method and a related device are provided to implement diversified human voice beautification. The method includes receiving a mode selection operation input by a user, where the mode selection operation is for selecting a voice conversion mode. A plurality of provided selectable modes include a style conversion mode, for performing speaking style conversion on a to-be-converted first voice; a dialect conversion mode, for adding an accent to or removing an accent from the first voice; and a voice enhancement mode, for implementing voice enhancement on the first voice. The three modes have corresponding voice conversion networks. Based on a target conversion mode selected by the user, a target voice conversion network corresponding to the target conversion mode is selected to convert the first voice, and output a second voice obtained through conversion.

Voice conversion method and related device

Systems and methods are provided to predict connection configurations in a distributed database environment. In embodiments, a method includes: building, by a computing device, a dynamic machine learning predictive model for a first new node connection in a distributed database environment based on configuration data of the first new node connection; determining, by the computing device, a group of nodes in the distributed database environment of a same type of node as the new node connection; federating, by the computing device, the dynamic machine learning predictive model of the first new node connection with other dynamic machine learning predictive models of other nodes in the group of nodes, thereby generating a federated predictive model for the same type of node; and generating, by the computing device, a predicted connection configuration for a second new node connection of the same type of node using the federated predictive model.

Database resource management using predictive models

A computer-implemented method to generate and utilize a hybrid index. The method includes receiving a first query, where the first query is configured to perform a first command. The method further includes generating a hybrid index, where the hybrid index defines a connection between a first table and a second table of a set of tables. The method also includes executing the first query using the hybrid index. The method includes returning a set of results for the first query to a source of the query.

Building cross table index in relational database

A method includes receiving, by a computing device, a first transaction from a user device for a first version of a database record; generating, by the computing device, a bit for the database record; receiving, by the computing device, a second transaction from a second user device for a second version of the database record; locking, by the computing device, the database record; determining, by the computing device, a modification between the first version of the database record and the second version of the database record; and updating, by the computing device, the bit in response to the modification.

Database record bit

A display substrate and a display device are disclosed, and the display substrate has a plurality of sub-pixels, and includes a base substrate, a driving circuit layer, a pixel definition layer and a light-emitting device layer, and a black matrix layer. Each sub-pixel includes a pixel driving circuit in the driving circuit layer and a light-emitting device in the light-emitting device layer. The black matrix layer includes a plurality of first light-transmitting openings respectively exposing the light-emitting devices of the plurality of sub-pixels in a direction perpendicular to a surface of the base substrate. The pixel definition layer includes a plurality of sub-pixel openings, at least part of the plurality of sub-pixel openings are in one-to-one correspondence with and at least partially overlapped with the plurality of first light-transmitting openings, and at least one of the plurality of first light-transmitting openings has an arc-shaped edge.

Display substrate and display device

A display substrate, a manufacturing method therefor, and a display apparatus are provided. The display substrate includes a first semiconductor layer, a first conductive layer, a second conductive layer, a second semiconductor layer, a third conductive layer, a fourth conductive layer, and a fifth conductive layer disposed on an substrate. The first semiconductor layer includes active layers of a plurality of poly silicon transistors, the first conductive layer includes gates of a plurality of poly silicon transistors, a first electrode plate of a storage capacitor and a first scan signal line. The second conductive layer includes a second electrode plate of the storage capacitor. The second semiconductor layer includes active layers of a plurality of oxide transistors. The third conductive layer includes gates of the plurality of oxide transistors.

Display substrate, manufacturing method therefor, and display apparatus

Managing database operations is provided. The method comprises receiving an insert statement for a database and determining if the insert statement is for a batch insert operation or random insert operation. For a batch insert operation, responsive to determining a threshold number of specified leaf pages are missing from a memory buffer pool of the database, the database asynchronously pre-loads missing leaf pages from a corresponding index on disk into the memory buffer pool. For a random insert operation, responsive to determining a threshold number of specified leaf pages are missing from a memory buffer pool of the database, the database builds at least one memory cache index and inserts key values specified in the insert statement in the memory cache index. The memory cache index is merged with a corresponding index on disk.

Database index performance improvement

A computer-implemented method improves the performance of write ahead logging. The method includes generating a set of query data and a set of log data, where the set of log data is configured to create a write ahead log, and the set of query data is configured to make changes to data in a database. The method also includes writing the set of query data to a virtual file system. The method further includes separating the set of log data into a set of control intervals, where each control interval includes an entry. The method includes writing, each entry into a log buffer, where the writing the set of query data to the virtual file system and the writing each entry into the log buffer are performed in parallel. The method also includes combining each entry into a complete log.

Database log performance

A computer implemented method manages a location of database object descriptions in a storage, the computer implemented method. A number of processor units identifies a set of workload groups that are coming up for execution. The number of processor units loads the database object descriptions for the set of workload groups into a highest performance storage in a storage system. The number of processor units manages the location of the database object descriptions in the storage system based on access to database objects by set of workload groups.

Dynamic database object description adjustment

A computer implemented method for managing buffer pool usage includes identifying a database comprising one or more buffer pools and a set of database objects, adding a virtual layer between the set of database objects and the one or more buffer pools, wherein the virtual layer is configured to manage buffer pool resource utilization, managing, using the added virtual layer, buffer pool resource utilization with respect to the set of database objects, wherein the managing comprises defining buffer pool usage corresponding to the set of database objects, dynamically mapping database objects to the buffer pools based, at least in part, on the defined buffer pool usage, analyzing, by one or more processors, queues to identify updated buffer pool usage, and adjusting database object allocation according to the identified updated resource usage. A computer program product and computer system corresponding to the method are also disclosed.

Buffer pool resource allocation

A system collects statistical data for a data page, divides the data page into parts, analyzes the data page and the statistical data, based on compression efficiency of one or more compression methods for each part of each page, to determine a compression method for each part of page, and compresses, based on the analyzing, the parts of the data page.

Partitional data compression

A method includes training, by a computing device, a model to identify SQL queries; identifying, by the computing device, incoming SQL queries; grouping, by the computing device, the incoming SQL queries into groups; monitoring, by the computing device, resource usage of the incoming SQL queries in the groups; and allocating, by the computing device, resources to an SQL query of the incoming SQL queries based on the monitoring.

Query resource optimizer

Growing community of inventors

Beijing, China

Shuo Li