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

Jing Lu

Lin Sun

Jing Li

Wen Jun Yin

Michael Baessler

Jiantao Liu

Bin Xu

Yu Zhu

Si Bin Fan

Feng Gao

Wei Wu

Yan Xu

Yan Sun

Dong Li

Xiao Ling Chen

Yanping Liao

Yuanhui Guo

Li Tian

Gang Tang

Yue Wang

Feng Zhang

Xiang Sean Zhou

Xiaoxiao Chen

Meng Wang

Jing Chen

Jing Wang

Wei Li

Ming Lei Zhang

Hui Wang

Jian Xu

Cheng Fang Wang

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

Dong Chen

Xin Zhang

Yue Li

Xibin Shao

Yu Gu

Jing Zhang

Jie Zhang

Zhi Zhang

Yu Liu

Ning Liu

Liang Wang

Jun Feng Liu

Johnny Menh-Han Shieh

Jian Nan Guo

Yi Huang

Xiao Ming Ma

Peng Chen

Wei Guo

Tao Yang

Yong Wu

Nan Li

Zhi Jun Wang

Wen Jie Wang

Fan Jing Meng

Yi Liu

Lei Han

Yan Huang

Miao Liu

Chen Liu

Jia Zou

Xiaoye Ma

Jian Zhao

Dongchuan Chen

Bo Tong Liu

Li Zhang

Yingmeng Miao

Xue Ying Zhang

Xiao Dong Li

Yue Chen

Binbin Cao

Li Ni Zhang

Bing Jiang Sun

Mechanisms are provided for workflow data redistribution in a hybrid computing environment comprising a private portion and a public portion of the hybrid computing environment. A received user request, that is serviced by a workflow executed by one or more computing devices of the hybrid computing environment, is parsed to extract criteria of the workflow for servicing the user request. It is determined whether a catalog data structure exists in a public catalog data store of the public portion that satisfies the criteria of the workflow and if not, the user request is processed in a workflow manager computing system of the private portion to generate a catalog that satisfies the criteria of the workflow and generate a result. A portion of the catalog is redistributed by storing the portion of the catalog in the public catalog data store of the public portion.

Workflow data redistribution in hybrid public/private computing environments

An approach for recommending an application of a software code update. The approach receives components of an executable program. The approach scans the components to divide the executable program into units. The approach creates a logical layer of entry lists, based on the units, for instantiations of the executable program. The approach loads the instantiations of the executable program based on the logical layers. The approach monitors the execution of the instantiations to increment counters based on executions of the units. The approach creates a heatmap of the executions based on the counters. The approach generates a recommendation to update the executable based on the heatmap.

Program code update recommendation based on a heatmap

Various embodiments are provided herein for implementing multiple thread scenes in a computing environment virtualized metaverse. A multi-layered thread to be instanced in the virtualized metaverse is developed. A main thread scene, and a virtualized avatar that is projected in the main thread scene, is developed. The creation and merger of the main thread scene with other thread scenes featuring the virtualized avatar throughout the multi-layered thread according to a predetermined methodology or overall theme, is enabled.

Implementing multiple thread scenes in virtualized metaverse

A method and system for registering images as non-fungible token images include a non-fungible token verifier verifying that an image has not been registered as a registered non-fungible token. Once the image is verified, an object recognizer recognizes objects of the image that are classified into a object queue. A characteristic extractor then extracts one or more characteristics of the queued objects. A non-fungible token denormalizer then denormalizes the image into one or more denormalized images each having denormalization attributes. A uniqueness purifier then inspects objects of each of the denormalized images for characteristics extracted from objects in the queue, where matching characteristics between the objects of the denormalized images and objects of the image define unique parameters. Non-fungible token register then registers the image as a unique non-fungible token image. A non-fungible token verification method is carried out along with, or independent of, the non-fungible token registration method.

Non-fungible token registration and verification methods

A method, computer system, and a computer program product are provided for managing an accelerated shutdown of a networked system having a having a plurality of nodes. The system to be shutdown is analyzed and a priority order is determined for the nodes. An interval period is also determined between each node according to the priority order. A leaf node set is constructed according to different shutdown types required for each node and a dependency tree is constructed by analyzing the leaf node sets. Each node is then shutdown according to the tree and the interval period determined. The dependency tree and the interval period is iteratively modified during the node shutdown until all nodes and ultimately the system shutdown has been completed.

Techniques for shutdown acceleration

Pre-initialization environments are generated on at least one hardware processor for running incoming applications. Resource usage of resources configured for the pre-initialization environments in running the incoming applications is monitored. Automatic tuning of a pre-initialization environment among the pre-initialization environments is deactivated, responsive to determining based on the resource usage of resources configured for the pre-initialization environment, that the pre-initialization environment is maintaining a threshold level of efficiency. Automatic tuning of the pre-initialization environment among the pre-initialization environments is activated, responsive to determining based on the resource usage of resources configured for the pre-initialization environment, that the pre-initialization environment is overloaded. Automatic tuning of the pre-initialization environment among the pre-initialization environments is activated, responsive to determining, based on the resource usage of resources configured for the pre-initialization environment, that the pre-initialization environment is idle.

Activating and deactivating a pre-initialization environment tuning

A computer implemented method performs a task for a vehicle. A number of processor units detects a presence of the vehicle on a road. The number of processor units divides the task to be performed for the vehicle into subtasks. The number of processor units assigns the subtasks to Internet of Things nodes on possible paths that the vehicle can travel on the road. The number of processor units processes the subtasks using a set of the Internet of Things nodes on a selected path in the possible paths in real time as the vehicle moves on the selected path to form subtask results. The number of processor units combines the subtask results from the processed subtasks to form a task result for the task.

IoT node coordination

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

Growing community of inventors

Beijing, China

Peng Hui Jiang