Patents by Inventor Yao Liang Chen
Yao Liang Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11931187Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.Type: GrantFiled: March 16, 2018Date of Patent: March 19, 2024Assignees: Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung, Chang Gung Memorial Hospital, Linkou, Chang Gung UniversityInventors: Jiun-Jie Wang, Yi-Hsin Weng, Shu-Hang Ng, Jur-Shan Cheng, Yi-Ming Wu, Yao-Liang Chen, Wey-Yil Lin, Chin-Song Lu, Wen-Chuin Hsu, Chia-Ling Chen, Yi-Chun Chen, Sung-Han Lin, Chih-Chien Tsai
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Patent number: 11517246Abstract: Disclosed herein is a method for diagnosing a neurological disorder based on at least one magnetic resonance imaging (MRI) image. The method includes identifying brain image regions that contain a respective portion of diffusion index values of at least one diffusion index. For each of the brain image regions, a characteristic parameter based on the respective portion of the diffusion index values is calculated. a diagnoses is then made for the brain using one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.Type: GrantFiled: March 16, 2018Date of Patent: December 6, 2022Assignees: Chang Gung Memorial Hospital, Linkou, Chang GungUniversitv, Change Gung Medical Foundation Chang Gung Memorial Hospital at KeelungInventors: Jiun-Jie Wang, Yi-Hsin Weng, Shu-Hang Ng, Jur-Shan Cheng, Yi-Ming Wu, Yao-Liang Chen, Wey-Yil Lin, Chin-Song Lu, Wen-Chuin Hsu, Chia-Ling Chen, Yi-Chun Chen, Sung-Han Lin, Chih-Chien Tsai
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Patent number: 11199956Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.Type: GrantFiled: June 21, 2017Date of Patent: December 14, 2021Assignee: International Business Machines CorporationInventors: Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xinlin Wang, Xiao Min Xu, Chao Hua Zhang
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Patent number: 11188210Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.Type: GrantFiled: November 20, 2017Date of Patent: November 30, 2021Assignee: International Business Machines CorporationInventors: Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xinlin Wang, Xiao Min Xu, Chao Hua Zhang
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Patent number: 11093501Abstract: A computer-implemented method is provided that includes receiving a search request to perform a search in a time series database, where the time series database stores a plurality of sequences of measured values arranged in chronological order, extracting from the search request a condition for performing the search in the time series database, the condition including a target subsequence to be searched for within the plurality of sequences of measured values within the time series database, selecting a search algorithm to perform the search from a plurality of search algorithms registered to the time series database, based on one or more characteristics of the condition and historical statistic data of one or more historical searches conducted on the time series database, and obtaining a search result from the time series database, utilizing the search algorithm.Type: GrantFiled: June 11, 2018Date of Patent: August 17, 2021Assignee: International Business Machines CorporationInventors: Yao Liang Chen, Xiao Yan Chen, Sheng Huang, Kai Liu, Xiao Min Xu
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Patent number: 10423635Abstract: A method for processing a time series includes dividing, with a processing device, the time series into a plurality of windows by time; extracting at least one group of similar subsequences from a current window among the plurality of windows; and updating a candidate list on the basis of comparison between similar subsequences in each group of the at least one group with k characteristic subsequences in the candidate list; wherein the k characteristic subsequences are k characteristic subsequences with a greatest number of occurrences in at least processed parts of the time series.Type: GrantFiled: May 26, 2015Date of Patent: September 24, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Kai Liu, Wei Lu, Lin Hao Xu, Xiao Min Xu
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Patent number: 10366095Abstract: A method for processing a time series includes dividing, with a processing device, the time series into a plurality of windows by time; extracting at least one group of similar subsequences from a current window among the plurality of windows; and updating a candidate list on the basis of comparison between similar subsequences in each group of the at least one group with k characteristic subsequences in the candidate list; wherein the k characteristic subsequences are k characteristic subsequences with a greatest number of occurrences in at least processed parts of the time series.Type: GrantFiled: June 24, 2015Date of Patent: July 30, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Kai Liu, Wei Lu, Lin Hao Xu, Xiao Min Xu
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Patent number: 10360505Abstract: A plurality of messages comprising a stream of sensed data is received from an Internet of Things (IoT) device. A plurality of rules is identified. Responsive to a received message of the plurality of messages, the plurality of rules are distributed into a rule index tree based upon a cost model which minimizes a cost for analyzing the plurality of rules to determine whether or not each of the plurality of rules can be applied to the received message. The rule index tree is used to identify a set of rules of the plurality of rules that can be applied to the received message. The set of rules is applied to the received message to generate an outgoing message.Type: GrantFiled: June 14, 2017Date of Patent: July 23, 2019Assignee: International Business Machines CorporationInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xiao Min Xu
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Patent number: 10318512Abstract: The present disclosure relates to methods and systems for storing and querying data. According to the embodiments of the present invention, two-layer indexes are created for multi-dimension data, wherein the primary index is created based on two or more dimensions to retrieve respective data units of the data, while the secondary index is created based on specific dimensions to retrieve respective data blocks in the data unit. Correspondingly, when receiving a multi-dimension query request for data, the primary retrieval first determines a data unit including the target data based on a primary index, and then the secondary retrieval quickly locates a data block including the target data based on the secondary index. In this way, the multi-dimension retrieval can be efficiently performed. Moreover, by appropriately setting the size of a smallest data block, the I/O efficiency of data access will be significantly enhanced.Type: GrantFiled: June 23, 2015Date of Patent: June 11, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Kai Liu, Wei Lu, Xiao Min Xu
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Patent number: 10282439Abstract: The present disclosure relates to methods and systems for storing and querying data. According to the embodiments of the present invention, two-layer indexes are created for multi-dimension data, wherein the primary index is created based on two or more dimensions to retrieve respective data units of the data, while the secondary index is created based on specific dimensions to retrieve respective data blocks in the data unit. Correspondingly, when receiving a multi-dimension query request for data, the primary retrieval first determines a data unit including the target data based on a primary index, and then the secondary retrieval quickly locates a data block including the target data based on the secondary index. In this way, the multi-dimension retrieval can be efficiently performed. Moreover, by appropriately setting the size of a smallest data block, the I/O efficiency of data access will be significantly enhanced.Type: GrantFiled: May 15, 2015Date of Patent: May 7, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Kai Liu, Wei Lu, Xiao Min Xu
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Patent number: 10229129Abstract: A method for managing a time series database, includes: monitoring multiple operations that access the time series database, so as to identify types of the multiple operations, the types of the multiple operations comprising at least one of the query types or insert types; with respect to a storage mode among multiple storage modes, obtaining costs that the multiple operations access the time series database based on the types, respectively; selecting a storage mode with the minimum cost from the multiple storage modes; and during a predetermined time period, storing into the time series database data values that are collected from multiple measurement points according to the selected storage mode. In one embodiment, there is provided an apparatus for managing a time series database. By means of the method and apparatus of the present invention, the storage and query efficiency with respect to the time series database can be increased.Type: GrantFiled: September 22, 2014Date of Patent: March 12, 2019Assignee: International Business Machines CorporationInventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Kai Liu, Guo Rong Sun, Chen Wang
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Publication number: 20180373419Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.Type: ApplicationFiled: November 20, 2017Publication date: December 27, 2018Inventors: Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xinlin Wang, Xiao Min Xu, Chao Hua Zhang
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Publication number: 20180373418Abstract: The system, method, and computer program product described herein provide unified real-time rule analytics to users through the use of an analytics logic editor that allows a user to construct an analytic logic rule unit that may be used on both edge and cloud devices. The user may select a data source, transform, rule condition, and action using an interface of the analytics logic editor to construct an analytics logic rule unit that may be deployed to both edge and cloud devices in real-time without the need to separately program each device. The analytics logic rule unit may be installed and executed by the edge and cloud device in real-time.Type: ApplicationFiled: June 21, 2017Publication date: December 27, 2018Inventors: Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xinlin Wang, Xiao Min Xu, Chao Hua Zhang
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Publication number: 20180365569Abstract: A plurality of messages comprising a stream of sensed data is received from an Internet of Things (IoT) device. A plurality of rules is identified. Responsive to a received message of the plurality of messages, the plurality of rules are distributed into a rule index tree based upon a cost model which minimizes a cost for analyzing the plurality of rules to determine whether or not each of the plurality of rules can be applied to the received message. The rule index tree is used to identify a set of rules of the plurality of rules that can be applied to the received message. The set of rules is applied to the received message to generate an outgoing message.Type: ApplicationFiled: June 14, 2017Publication date: December 20, 2018Inventors: Xiao Yan Chen, Yao Liang Chen, Sheng Huang, Yun Jie Qiu, Xiao Min Xu
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Publication number: 20180293279Abstract: A computer-implemented method is provided that includes receiving a search request to perform a search in a time series database, where the time series database stores a plurality of sequences of measured values arranged in chronological order, extracting from the search request a condition for performing the search in the time series database, the condition including a target subsequence to be searched for within the plurality of sequences of measured values within the time series database, selecting a search algorithm to perform the search from a plurality of search algorithms registered to the time series database, based on one or more characteristics of the condition and historical statistic data of one or more historical searches conducted on the time series database, and obtaining a search result from the time series database, utilizing the search algorithm.Type: ApplicationFiled: June 11, 2018Publication date: October 11, 2018Inventors: Yao Liang Chen, Xiao Yan Chen, Sheng Huang, Kai Liu, Xiao Min Xu
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Publication number: 20180263569Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.Type: ApplicationFiled: March 16, 2018Publication date: September 20, 2018Inventors: Jiun-Jie Wang, Yi-Hsin Weng, Shu-Hang Ng, Jur-Shan Cheng, Yi-Ming Wu, Yao-Liang Chen, Wey-Yil Lin, Chin-Song Lu, Wen-Chuin Hsu, Chia-Ling Chen, Yi-Chun Chen, Sung-Han Lin, Chih-Chien Tsai
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Publication number: 20180263548Abstract: A method is to be implemented by a computing device and includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image, brain image regions each of which contains a respective portion of diffusion index values of at least one diffusion index, which results from image processing performed on said at least one MRI image; b) for each of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) diagnosing the brain examined with one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.Type: ApplicationFiled: March 16, 2018Publication date: September 20, 2018Inventors: Jiun-Jie Wang, Yi-Hsin Weng, Shu-Hang Ng, Jur-Shan Cheng, Yi-Ming Wu, Yao-Liang Chen, Wey-Yil Lin, Chin-Song Lu, Wen-Chuin Hsu, Chia-Ling Chen, Yi-Chun Chen, Sung-Han Lin, Chih-Chien Tsai
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Patent number: 10042888Abstract: A computer-implemented method for searching in a database is provided according to one embodiment. The method includes, in response to receiving a search request to search in a database, extracting from the search request a condition for searching in the database. The method further includes selecting a search algorithm matching the condition from a plurality of search algorithms registered to the database, based on historical statistic data of historical search conducted on the database. Moreover, the method includes obtaining a search result from the database by using the search algorithm. The database is a time series database.Type: GrantFiled: November 3, 2015Date of Patent: August 7, 2018Assignee: International Business Machines CorporationInventors: Yao Liang Chen, Xiao Yan Chen, Sheng Huang, Kai Liu, Xiao Min Xu
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Publication number: 20180150511Abstract: A computer-implemented method of processing a data query, includes in an edge device, processing a subquery of the data query, storing first statistical data on the subquery, and analyzing the first statistical data to optimize a parameter for processing subqueries.Type: ApplicationFiled: November 29, 2016Publication date: May 31, 2018Inventors: Yao Liang CHEN, Lance Warren FEAGAN, Sheng HUANG, Yun Jie QIU, Xinlin WANG, Yu WANG, Xiao Min XU
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Patent number: 9965503Abstract: Disclosed are a computer-implemented method for generating a data cube from data, a system and a computer program product. The method comprises selecting a candidate granularity from a plurality of candidate granularities determined for a dimension of the data cube, where a data distribution obtained in the selected candidate granularity satisfies a predetermined condition; and generating the data cube based on the selected candidate granularity for the dimension.Type: GrantFiled: August 12, 2015Date of Patent: May 8, 2018Assignee: International Business Machines CorporationInventors: Yao Liang Chen, Wei Shan Dong, Wen Ting Mo, Chunhua Tian, Wen Yi Xiao, Junchi Yan, Chao Zhang