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公开(公告)号:US20250037432A1
公开(公告)日:2025-01-30
申请号:US18358274
申请日:2023-07-25
Applicant: International Business Machines Corporation
Inventor: Deng Xin Luo , Xiang Yu Yang , Yong Wang , Ye Wang , Zhong Fang Yuan , Wen Wang
IPC: G06V10/774 , G06V10/98
Abstract: A method, computer system, and program product facilitate identification of error image labels in training data. The method comprises: evenly dividing a training dataset into N subsets, where the training dataset includes M data items each comprising a pair of image and its original image label; training a prediction model to label images by respectively using each of the N subsets as training data to generate N respective trained prediction models; respectively using each of the N trained prediction models trained by using one of the N subsets as training data to label the images in other N−1 subsets of the N subsets to generate N−1 prediction labels for each of the M images in the training dataset. For each image in the M data items, whether the original image label of the image is a potential error image label is based on the N−1 prediction labels of the image.
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公开(公告)号:US12135695B2
公开(公告)日:2024-11-05
申请号:US17662274
申请日:2022-05-06
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Jun Guo , Xiang Yu Yang , Deng Xin Luo , Na Liu , Chen Yu Chang , Qin Dong Yin
IPC: G06F16/182 , G06F16/22 , G06F16/2457 , G06F16/28
Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.
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公开(公告)号:US20240317242A1
公开(公告)日:2024-09-26
申请号:US18124759
申请日:2023-03-22
Applicant: International Business Machines Corporation
Inventor: Yu Ying YY Wang , Han Ying Song , Deng Xin Luo , Yong Wang , Chi Nan , Xiang Yu Yang
CPC classification number: B60W40/13 , G06N5/022 , B60W2510/02 , B60W2510/0638 , B60W2510/0657 , B60W2510/1005 , B60W2510/18 , B60W2520/00
Abstract: Mechanisms are provided for automatically predicting vehicle weight of a moving vehicle. Vehicle operation data is obtained from one or more on-board sensors/systems of the vehicle and features are extracted. The features are filtered based on a required working condition of the vehicle to identify intervals of features having valid feature data to thereby generate a filtered valid data. The filtered valid data is processed by a first artificial intelligence (AI) computer model based on time slices of the filtered valid data to generate a first prediction of vehicle weight, and by a second AI computer model based on buckets of key variables to generate a second prediction of vehicle weight. The first prediction is fused with the second prediction to generate a final prediction of vehicle weight which is output to downstream computing logic.
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公开(公告)号:US11640388B2
公开(公告)日:2023-05-02
申请号:US17245063
申请日:2021-04-30
Applicant: International Business Machines Corporation
Inventor: Xiang Yu Yang , Deng Xin Luo , Ye Wang , Yu Pan , Zhong Fang Yuan , Miao Guo
IPC: G06F16/23 , G06F16/28 , G06F16/90 , G06F16/24 , G06F16/901 , G06F18/2433 , G06F18/2413
Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining pre-check data associated with specified data nodes; calculating outliers for each specified data node, wherein the outliers are calculated based on a unit of the pre-check data associated with each specified data node; backtracking the calculated outliers for each specified data node through an associated generating data link; selecting one or more data nodes associated with a set of largest outliers; selecting one or more data links associated with the set of largest outliers; and generating potential anomaly indications based on the one or more data nodes selected and the one or more data links selected.
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公开(公告)号:US12099613B2
公开(公告)日:2024-09-24
申请号:US17476579
申请日:2021-09-16
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Xiang Yu Yang , Yong Wang , Zhong Fang Yuan , Deng Xin Luo , Ye Wang , Zhi Yong Jia
CPC classification number: G06F21/577 , G06F8/63 , G06F16/1873 , G06F16/2246 , G06F2221/033
Abstract: A method, computer program product, and computer system for repairing a Dockerfile. Library versions containing initial version numbers of libraries are extracted from the Dockerfile. A Monte Carlo tree search (MCTS) is executed, using the extracted library versions as input, which generates a tree that includes multiple levels populated with noses. Each node in a level represents the generic library name of a library version in the Dockrerfile and an associated randomly selected version number. At least one of the randomly selected version numbers associated with at least one node in a level differs from the initial version number associated with a versionf. A best successful installation path is selected from the at least one successful installation path. The Dockerfile is repaired by inserting randomly selected version numbers into Dockerfile as replacements for some of the initial version numbers.
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公开(公告)号:US11848847B1
公开(公告)日:2023-12-19
申请号:US17963340
申请日:2022-10-11
Applicant: International Business Machines Corporation
Inventor: Jun Guo , Yong Wang , Deng Xin Luo , Xiang Yu Yang , Jia Wei He
IPC: H04L67/1001 , H04L43/0876
CPC classification number: H04L43/0876 , H04L67/10015
Abstract: An example operation may include one or more of monitoring a plurality of brokers within a cluster to identify current workload attributes of the plurality of brokers, determining a health value of a lead broker within the cluster via execution of a machine learning model on current workload attributes of the lead broker, determining to modify resources assigned to the lead broker based on the determined health value of the lead broker, executing an optimization algorithm on the current workload attributes of the plurality of brokers within the cluster to determine an optimum task distribution, and reallocating tasks amongst the lead broker and the one or more other brokers within the cluster based on the optimum task distribution.
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公开(公告)号:US20230259872A1
公开(公告)日:2023-08-17
申请号:US17671263
申请日:2022-02-14
Applicant: International Business Machines Corporation
Inventor: Deng Xin Luo , Xiang Yu Yang , Yong Wang , Ye Wang , Zhong Fang Yuan , Zhi Yong Jia
IPC: G06Q10/08
CPC classification number: G06Q10/08355
Abstract: An embodiment includes parsing geographical data into a path graph having a plurality of nodes and edges, and identifying first and second subsets of the nodes as source nodes and destination nodes, respectively. The embodiment generates path data for a candidate delivery route from a source node to a destination node and along an edge between the source and destination nodes. The embodiment processes the path data using first and second evaluation techniques based on respective metrics. The embodiment compares evaluation values from the evaluation techniques to evaluation values associated with another candidate delivery route, and selects the candidate delivery route as a finalized delivery route based on the comparison results. The embodiment then generates a route plan that includes the finalized delivery route.
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公开(公告)号:US20230090993A1
公开(公告)日:2023-03-23
申请号:US17448552
申请日:2021-09-23
Applicant: International Business Machines Corporation
Inventor: Xiang Yu Yang , Wen Jie Hao , Zhong Fang Yuan , Wang Hu Dang , Deng Xin Luo , Jia Yong Xie , Wen Wang
Abstract: A method, computer program product and computer system to provide topic guide during document drafting is provided. A processor retrieves at least one section of text from a document. A processor receives a target topic for the document. A processor extracts at least one local topic from the at least one section of text. A processor generates a semantic network comprising the at least one local topic and the target topic. A processor determines a deviation value for the at least one local topic based on a distance between the at least one local topic and the target topic in the semantic network. A processor, in response to the deviation value exceeding a threshold value, alerts a user that the at least one section of text from the document is off-topic from the target topic.
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公开(公告)号:US20250053144A1
公开(公告)日:2025-02-13
申请号:US18231657
申请日:2023-08-08
Applicant: International Business Machines Corporation
Inventor: Jing Du , Deng Xin Luo , Li Jia Lu , Miao Guo
Abstract: One embodiment of the invention provides a computer-implemented method for optimization of a continuous production process. The method comprises receiving input data comprising a plurality of datasets each including one or more variables relating to a production equipment involved in the continuous production process. The method further comprises generating different prediction models based on the input data. Each of the prediction models is configured to output a target prediction relating to the production equipment. The method further comprises generating an objective optimization model based on each target prediction output from each of the prediction models. The objective optimization model comprises a deep neural network. The method further comprises generating a loss function corresponding to the objective optimization model, and optimizing weights for parameters of the prediction models using backpropagation of the deep neural network and the loss function, resulting in optimized weights for the parameters of the prediction models.
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公开(公告)号:US20230359592A1
公开(公告)日:2023-11-09
申请号:US17662274
申请日:2022-05-06
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Jun Guo , Xiang Yu Yang , Deng Xin Luo , Na Liu , Chen Yu Chang , Qin Dong Yin
IPC: G06F16/182 , G06F16/28 , G06F16/2457 , G06F16/22
CPC classification number: G06F16/182 , G06F16/285 , G06F16/24573 , G06F16/2282
Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.
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