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公开(公告)号：US12248457B1
公开(公告)日：2025-03-11
申请号：US18454115
申请日：2023-08-23
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Hao Xiang Wu , Rong Zhao , Zhe Yan , Li Li Guan , Li Bo Zhang
IPC: G06F16/23
Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.
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公开(公告)号：US11811626B1
公开(公告)日：2023-11-07
申请号：US17832756
申请日：2022-06-06
Applicant: International Business Machines Corporation
Inventor： Li Li Guan , Zhe Yan , Rong Zhao , Ke Zhang , Yuan Jin , Jing Zhang
IPC: H04L41/5074 , G06F40/30 , G06N5/022
CPC classification number: H04L41/5074 , G06F40/30 , G06N5/022
Abstract: A computer-implemented method includes: extracting, by one or more processors, media data from an information technology ticket; extracting, by one or more processors, a plurality of data elements from the media data; and generating, by one or more processors, a ticket knowledge graph based on the plurality of data elements, wherein a node of the ticket knowledge graph represents a data element, and an edge between a first node and a second node in the ticket knowledge graph represents a correlation between a first data element represented by the first node and a second data element represented by the second node.
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公开(公告)号：US20230266966A1
公开(公告)日：2023-08-24
申请号：US17651848
申请日：2022-02-21
Applicant: International Business Machines Corporation
Inventor： YUAN JIN , Rong Zhao , Jing Zhang , Li Li Guan , Zhe Yan , Ke Zhang
IPC: G06F8/73
CPC classification number: G06F8/73
Abstract: Aspects of the present disclosure relate to support content generation. An issue description is received from a user. A software feature associated with the issue description is identified using a trained classification model. A base image associated with the software feature is obtained. The base image is modified to add information indicated in the issue description, wherein the modified base image is generated support content. The generated support content is transmitted.
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公开(公告)号：US11681539B2
公开(公告)日：2023-06-20
申请号：US17333442
申请日：2021-05-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Zhe Yan , Li Li Guan , Hao Jia Li , Rong Zhao , Li Bo Zhang
CPC classification number: G06F9/453 , G06T7/73 , G06T7/75 , G06T19/006 , G06V20/20 , G06V20/41 , G06V20/48 , G06V20/49 , G06T7/74
Abstract: A method, computer system, and a computer program product for AR guidance is provided. The present invention may include detecting a plurality of objects in a video recording associated with completing a task. The present invention may include generating a plurality of three-dimensional (3D) object models based on scanning a plurality of real objects in a task space. The present invention may include matching the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space. The present invention may include generating, based on the video recording, an augmented reality (AR) guidance model for completing the task, wherein the generated AR guidance model replaces the detected plurality of objects in the video recording with the generated plurality of 3D object models representing the plurality of real objects in the task space.
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公开(公告)号：US20230026385A1
公开(公告)日：2023-01-26
申请号：US17381670
申请日：2021-07-21
Applicant: International Business Machines Corporation
Inventor： Li Bo Zhang , Zhe Yan , Rong Zhao , Li Li Guan , Hao Jia Li
Abstract: Using machine learning to help identify and assess threats in an information technology (IT) computing environment. Machine learning type training is used to train both a threat model and a set of data model(s).
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Patent Agency Ranking
公开(公告)号：US10949999B2
公开(公告)日：2021-03-16
申请号：US16582252
申请日：2019-09-25
Applicant: International Business Machines Corporation
Inventor： Xiao Long Chen , Na Lv , Zhe Yan , Yun Zhai , Zhuo Zhao
Abstract: A method, a computer program product, and a computer system for determining a location using street view images. A mobile device obtains an image captured by the mobile device, obtains a set of street view images, and obtains a first graph of the image captured by the mobile device and a plurality of second graphs of the set of the street view images. The first graph includes nodes representing interest points in the image captured by the mobile device, and the plurality of the second graphs includes nodes representing interest points in the set of the street view images. The mobile device determines a location of the mobile device, based on relevance between the first graph and the plurality of the second graphs.
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公开(公告)号：US20200184215A1
公开(公告)日：2020-06-11
申请号：US16213673
申请日：2018-12-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Chen Hui Xu , Zhe Yan , Bo Wen Wei
Abstract: A method, system and computer program product for improving photographic results by composition analysis using deep-learning neural networks, by: detecting one or more objects in a camera view; classifying the objects to make one or more composition recommendations; and displaying the composition recommendations in the camera view, wherein the camera view is aligned with one of the composition recommendations to take a picture.
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公开(公告)号：US20170052771A1
公开(公告)日：2017-02-23
申请号：US14828564
申请日：2015-08-18
Applicant: International Business Machines Corporation
Inventor： Xiao Long Chen , David L. Kaminsky , Xi Ning Wang , Zhe Yan , Zheng Zhao
IPC: G06F9/445
CPC classification number: G06F8/60 , G06F9/44521 , G06F9/45558 , G06F9/5077 , G06F2009/45562
Abstract: Embodiments of the present invention relate to a method, device and computer program product for container deployment. By comparing the target libraries required by a target container to be deployed and the libraries that have been loaded on the candidate hosts, the costs of deploying the target container on the candidate hosts can be estimated. Then a target host is selected from among the plurality of candidate hosts based on the determined costs.
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公开(公告)号：US09521218B1
公开(公告)日：2016-12-13
申请号：US15002421
申请日：2016-01-21
Applicant: International Business Machines Corporation
Inventor： Liya Fan , Yong Deng Hu , He Yuan Huang , Chen Tian , Jian Wang , Zhe Yan , Ke Zhang
CPC classification number: H03M7/40 , H03M7/3059 , H03M7/607 , H04L67/1097
Abstract: A method for optimizing migration efficiency of a data file over network is provided. Specifically, a total time of compression time of the data file, transfer time of the data file over the network, and decompression time of the data file, is minimized by adaptively selecting compression methods to compress each data block of the data file. For selecting a compression method for a data block, information entropy of the data block is analyzed, and a real status of computing and system resources is considered. Further, trade-off among the resource usage, compassion speed and compression ratio is made to calculate an optimized transmission solution over the network for each data block of the data file.
Abstract translation: 提供了一种通过网络优化数据文件的迁移效率的方法。 具体地，通过自适应地选择压缩方法来压缩数据文件的每个数据块，使数据文件的压缩时间的总时间，数据文件在网络上的传送时间和数据文件的解压缩时间被最小化。 为了选择数据块的压缩方法，分析数据块的信息熵，并考虑计算和系统资源的真实状态。 此外，在资源使用，同情速度和压缩比之间进行权衡，以对数据文件的每个数据块计算网络上优化的传输解决方案。
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公开(公告)号：US20250068619A1
公开(公告)日：2025-02-27
申请号：US18454115
申请日：2023-08-23
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Hao Xiang Wu , Rong Zhao , Zhe Yan , Li Li Guan , Li Bo Zhang
IPC: G06F16/23
Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.
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