International Business Machines Corporation

Boe Technology Group Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Hefei Boe Display Technology Co., Ltd.

Wuhan Boe Optoelectronics Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Honeywell International Inc.

Beijing Boe Display Technology Co., Ltd.

William Marsh Rice University

Boe Technology Groupco., Ltd.

Chipone Technology (beijing) Co., Ltd.

Xingtai Gengli Electronic Commerce Co., Ltd.

Peng Hui Jiang

Jun Su

Guang Han Sui

Sheng Yan Sun

Ke Dai

Haipeng Yang

Shuo Li

Xiaobo Wang

Dong Hui Liu

Su Liu

Xin Peng Liu

ShengYan Sun

Hong Mei Zhang

Lin Sun

Jing Li

Wen Jun Yin

Michael Baessler

Jing Lu

Jiantao Liu

Bin Xu

Feng Gao

Si Bin Fan

Wei Wu

Yan Xu

Yan Sun

Dong Li

Xiao Ling Chen

Yanping Liao

Yuanhui Guo

Li Tian

Gang Tang

Ping Xiao

Yue Wang

Feng Zhang

Xiang Sean Zhou

Xiaoxiao Chen

Meng Wang

Jing Chen

Jing Wang

Ming Lei Zhang

Jian Xu

Yu Zhu

Cheng Xu

Hui Zhao

Rui Liu

Timo Kussmaul

Yang Hu

Chun Long Wang

Wen Liu

Jing Yan Ma

Heng Wang

He Huang

Xi Ning Wang

Lei Wang

Jonathan D Dunne

Wei Li

Dong Chen

Hui Wang

Xin Zhang

Yue Li

Xibin Shao

Yu Gu

Jing Zhang

Jie Zhang

Cheng Fang Wang

Yu Liu

Ning Liu

Jun Feng Liu

Liang Wang

Johnny Menh-Han Shieh

Jian Nan Guo

Xiao Ming Ma

Wei Guo

Peng Chen

Tao Yang

Yong Wu

Zhi Jun Wang

Wen Jie Wang

Nan Li

Fan Jing Meng

Yi Liu

Lei Han

Yan Huang

Miao Liu

Jia Zou

Chen Liu

Xiaoye Ma

Jian Zhao

Bo Tong Liu

Dongchuan Chen

Xiao Dong Li

Yingmeng Miao

Binbin Cao

Li Ni Zhang

Bing Jiang Sun

Yue Chen

Chih-Wen Su

Xue Ying Zhang

Lei Tian

A method, computer system, and a computer program product for risk analysis is provided. The present invention may include receiving an access request. The present invention may include analyzing a matrix barcode associated with the access request. The present invention may include validating the matrix barcode. The present invention may include providing a validation status to a user.

Analyzing QR code risk

A computer-implemented method to automatically adjust a view of a video stream to focus on a relevant item. The method includes monitoring activity in video feed of a video conference. The method further includes identifying, in the video feed, an item that a user is interacting with during the video conference. The method also includes determining a relevance score for to the item, where the relevance score represents a likelihood the item is a focus of the video conference. The method includes determining the relevance score is above a relevance threshold for the item. The method also includes adjusting, in response to the relevance score being above the relevance threshold, a focus the video feed, where the adjusting is configured to focus on the item.

Content based focus adjustment

A method, computer program product, and computer system are provided. Statistics for each columnar table are extracted from an online analytical processing (OLAP) database catalog. A transaction table map is created from transaction log records of an online transaction processing (OLTP) database. The transaction table map includes a counter of log records in a transaction and a timestamp indicating a longevity of the transaction. Based on the counter or the longevity exceeding a predefined threshold, the transaction is transformed, and sent to the OLAP database where it is replayed.

Performance of row table to columnar table replication

In several aspects, a computing device analyzes data to determine its characteristics. The computing device selects at least one compression process based on the characteristics. A compression switch and a compression level are dynamically adjusted based on multiple factors including available system resources, desired storage savings and performance requirement. The compression level dynamically varies depending on the data being processed and a workload on a system. Performance of compression and decompression operations are continuously monitored for dynamically adjusting compression parameters to optimize performance.

Adaptive compression/decompression in distributed database application

A system, method, and computer program product are configured to: provide a tablespace comprising an original partition having a lower boundary L, an upper boundary U, a split percentage P, and a split ratio R; and in response to the original partition reaching a fullness of P, automatically split the original partition to a first progeny partition and a second progeny partition, wherein the first progeny partition has a lower boundary Lthat is the same as the lower boundary L of the original partition and an upper boundary Uthat is determined based on whether the insert is a sequential or random insert, and wherein the second progeny partition has an upper boundaries Uthat is the same as the upper boundary U of the original partition and a lower boundary Lthat is determined based on whether the insert is a sequential or random insert.

Self-maintained tablespace

In an approach to improve the privacy of chat groups within a virtual world, in response to identifying a private chat group has been created between two or more users, embodiments collect, by an internet of things (IoT) sensor set, a voice for each user in the private chat group. Further, embodiments analyze, by an analysis module, the collected voice, an intonation associated with the collected voice and an original pronunciation associated with the collected voice, and generate a de-content pronunciation based on the analysis of the collected voice, the intonation, and the original pronunciation. Additionally, embodiments output, by the IoT sensor set, the intonation and the original pronunciation to the two or more users in the private chat group and output, by the IoT sensor set and a client computer, the intonation and the de-content pronunciation to one or more users outside the private chat group.

Computer-based privacy protection for chat groups in a virtual environment

In an approach, a processor receives, at an edge node, a message from an IoT device associated with the edge node, the message being embedded with at least one non-fungible token (NFT) and each of the at least one NFT representing a corresponding authorization associated with the IoT device. A processor retrieves, at the edge node, the at least one NFT from the received message. A processor validates, at the edge node, the received message based on the retrieved at least one NFT. A processor, responsive to validating the received message, forwards, by the edge node, the received message to a center node associated with the edge node.

Authorization management in an internet of things (IoT) network

A computer-implemented method for building and using a multi-party Attestation Model for controlling operation of a multi-tenant cloud infrastructure which includes providing a trusted execution environment (TEE) within the multi-tenant cloud infrastructure, receiving a set of requirements from each of a plurality of tenants of the multi-tenant cloud infrastructure, building an Attestation Model according to the sets of requirements, and deploying the Attestation Model within the TEE. In response to a determination that a change does not satisfy the Attestation Model for each of the plurality of tenants, a function is performed to separate components shared between tenants for which the change satisfies the Attestation Model from components shared between tenants for which the change does not satisfy the Attestation Model, and the change is deployed on the multi-tenant cloud infrastructure for the tenants for which the change satisfies the Attestation Model.

Building and using attestation model in confidential computing

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains a given query referencing a LOB. The program code obtains statistics and activities performed in the database system, establishes performance benchmarks, and analyzes the given query to determine how the LOB is utilized. The program code determines that meeting a benchmark requires replacing a reference to the LOB with a reference to implicit column(s). The program code executes the given query by referencing the implicit column(s) to obtain query results. The program code returns the query results.

High-performance large object operations

Shutdown intervals between nodes of a dependency tree are determined. The dependency tree represents a system to be shut down and the nodes represent system components of the system. The determining the shutdown intervals includes calculating, for a pair of nodes of the dependency tree, a shutdown interval. The calculating is based on a relationship between the pair of nodes. The calculating is repeated for a plurality of pairs of nodes to obtain a plurality of shutdown intervals. The plurality of shutdown intervals is used in a shutdown of the system components. At least one system component represented by at least one node on a higher node level of the dependency tree is to be shut down prior to at least one other system component represented by at least one other node on a lower node level of the dependency tree.

System shutdown based on tuned shutdown intervals

A method, computer system, and a computer program product for application modernization is provided. The present invention may include receiving operation data related to an application. The present invention may include identifying a plurality of entities based on the operation data related to the application. The present invention may include identifying one or more interactions between each of the plurality of entities. The present invention may include determining an energy consumption pattern for the application by analyzing a consumption of energy related to workload. The present invention may include determining a modernization scope for the application based on the energy consumption pattern.

Modernizing application components to reduce energy consumption

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) to: obtain queries (each query including workload(s)); obtain execution statistics for the one or more workloads; normalize one or more queries. Normalizing includes generating cost analytics, identifying similar cost analytics for query blocks across the queries, and applying a cost model to identify at least one query block for result reuse across. The program code distributes the queries to system resources by assigning the at least one query block (in more than one query/workload) to a first resource to execute (as part of a first workload) against database tables and assigning the at least one query block to a second resource to execute (as part of a first workload) against a shared cache of a heterogenous database system.

Workload performance improvement on heterogeneous systems

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains queries from sources via a query interface. The program code analyzes the queries to obtain attributes of the queries. The program code applies a trained classifier to the attributes to classify the queries into finite categories based on a predicted usage of a given resource type exceeding a pre-determined threshold and an anticipated execution duration for each query. The program code determines, based on the finite categories of the one or more queries and resource configurations of resources comprising the database service, which resource of the resources can efficiently execute each query of the one or more queries. The program code schedules each query of the one or more queries for execution by the determined resources.

High-performance resource and job scheduling

Methods for managing a connection pool for cloud-based applications accessing databases are provided. Aspects include establishing a plurality of connections to one or more databases, receiving connection requests from a plurality of cloud-based applications to access the one or more databases, and allocating the connection requests to among the plurality of connections, where the allocation is determined based at least in part on one or more connection pool parameters. Aspects also include monitoring a usage of the plurality of connections by the plurality of applications and updating the one or more connection pool parameters based on an analysis of the usage of the plurality of connections by the plurality of applications.

Managing a connection pool for cloud-based applications accessing databases

A computer-implemented method, system, and computer program product for adapting scripts from a source platform to be utilized in a target platform when porting. Traces of system calls from the commands in the source and target platforms are analyzed to identify building blocks. A tree structure for each command of the source and target platforms is constructed with one or more building blocks from the identified building blocks. Commands of the target platform with a functionality within a threshold degree of similarity to the commands of the source platform are identified by analyzing the building blocks of the commands' tree structures. Alternative commands for the commands of the source platform, such as those commands that are not supported by the target platform, may be generated using such identified commands. The script from the source platform may then be adapted to be utilized in the target platform using such alternative commands.

Adapting scripts from a source platform to be utilized in a target platform

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Beijing, China

Peng Hui Jiang