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US Patent 11803177 Method and apparatus for detecting anomaly data

Patent 11803177 was granted and assigned to MakinaRocks Co., Ltd. on October, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
MakinaRocks Co., Ltd.
MakinaRocks Co., Ltd.
Current Assignee
MakinaRocks Co., Ltd.
MakinaRocks Co., Ltd.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11803177
Patent Inventor Names
Jongsun Shinn
Sangwoo Shim
Young Jae Choung
Jongseob Jeon
Kyounghyun Mo
Date of Patent
October 31, 2023
Patent Application Number
18020112
Date Filed
June 9, 2022
Patent Citations
‌
US Patent 11169514 Unsupervised anomaly detection, diagnosis, and correction in multivariate time series data
‌
US Patent 8452778 Training of adapted classifiers for video categorization
‌
US Patent 8768745 System and method of forecasting print job related demand
‌
US Patent 9072496 Method and system for modeling and processing fMRI image data using a bag-of-words approach
‌
US Patent 10885456 Processing sensor logs
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US Patent 11204602 Early anomaly prediction on multi-variate time series data
Patent Primary Examiner
‌
Mohammad K Islam
CPC Code
‌
G05B 23/0281
‌
G05B 23/0272
‌
G05B 23/0221
Patent abstract

An anomaly data detecting method performed by a computing device having at least one processor includes acquiring first time-series data, dividing the first time-series data into a plurality of sub time-series data, adjusting scales of variable values included in at least one sub time-series data among the plurality of sub time-series data and determining whether the first time-series data is abnormal by inputting scaled first time-series data to a neural network based detection model.

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