Statistical Measurement Patents (Class 702/179)
  • Patent number: 11368403
    Abstract: Tags may be used in decisions by an access management service regarding access of computing resources (“resources”) by principals (e.g., users, roles, etc.). The tags may also be used to determine cost information, for grouping resources and/or principals, and for other reasons. The tags may be assigned to principals, to resources, or both. The resource may be a virtual or physical type of computing resource. Tags may be metadata, which may include a key-value pair. Tags may include email addresses, cost centers, project identifiers, location, team name, etc. The value may be a number, letters, or a combination of both. In some embodiments, the values may be limited to certain numbers or bytes, and some numbers and/or letter combinations may be excluded for special use.
    Type: Grant
    Filed: September 22, 2020
    Date of Patent: June 21, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Jasmeet Chhabra, Jing Zhuang, Uzma Arjuman, Ajith Harshana Ranabahu, Travis William Hickey
  • Patent number: 11360843
    Abstract: Systems and methods described herein are directed to minimizing the resource requirements for edge and network while keeping the accuracy of machine learning classifier by utilizing simulated test data. Once sufficient measured test data is collected by the server, the server instructs the edge computer to reduce the transmission of data received from the corresponding sensors.
    Type: Grant
    Filed: July 10, 2020
    Date of Patent: June 14, 2022
    Assignee: HITACHI, LTD.
    Inventors: Daisuke Maeda, Sudhanshu Gaur
  • Patent number: 11361236
    Abstract: A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with respective potential storm paths of a given storm across a geographic area and an equipment database that stores equipment data associated with location and characteristics of power-providing equipment in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the equipment data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model. The storm response plan can be generated based on the relative statistical impact value of the probabilistic model of each of the ensemble forecast models.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: June 14, 2022
    Assignee: FLORIDA POWER & LIGHT COMPANY
    Inventors: Brick Rule, Iliana M. Rentz, Timothy D. Drum, William M. Dorr, Paul R. Hynes, Jeffrey D. Dubs, Andrew W. Kirby, Steven J. Palmieri, Eduardo R. Devarona
  • Patent number: 11353615
    Abstract: In acoustic well logging, for each inversion depths of a well at which logging of data occurs, acoustic log signals representative of waveforms received at acoustic receivers are processed in a frequency domain to derive field dispersion curve(s). A neural net is operated to generate formation shear slowness value(s) from the curve(s), and resulting signal(s) indicative of shear slowness values are saved, transmitted, plotted, printed or processed. An apparatus for carrying out the method includes a logging tool having at least one activatable acoustic wave source; spaced and acoustically isolated therefrom in the logging tool an array of acoustic detectors that on the detection of acoustic wave energy generate electrical or electronic log signal(s) characteristic of acoustic energy waves detected by the acoustic detector(s); and at least one processing device associated with or forming part of the logging tool for processing the log signal(s).
    Type: Grant
    Filed: January 4, 2018
    Date of Patent: June 7, 2022
    Assignee: Reeves Wireline Technologies Limited
    Inventors: Said Assous, Peter Adrian Spencer Elkington, Joanne Tudge, James Anthony Whetton
  • Patent number: 11348258
    Abstract: The present disclosure relates to a method and system for registering multi-modality images. The method may include: acquiring a first image relating to one or more reference objects; acquiring a second image relating to the one or more reference objects; determining a set of reference points based on the one or more reference objects; determining a set of mapping data corresponding to the set of reference points in the first image and the second image; and determining one or more registration parameters by comparing a plurality of back-projection errors generated in a plurality of iterations that are performed based on the set of mapping data.
    Type: Grant
    Filed: August 3, 2020
    Date of Patent: May 31, 2022
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Gang Yang, Miaoyan Du
  • Patent number: 11343300
    Abstract: Systems and methods for adaptive switching between multiple content delivery networks during adaptive bitrate streaming. In one embodiment, an adaptive content delivery network switching device includes a processor, a network interface, and a memory connected to the processor, where the memory contains a content delivery network switching application and, the content delivery network switching application directs the processor to receive content from a first content delivery network, determine a minimum performance threshold based on playback variables from the received content, receive new content from a second content delivery network if the minimum performance threshold is not satisfied.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: May 24, 2022
    Assignee: DIVX, LLC
    Inventors: Mayur Srinivasan, Stephen Bramwell, Giang Pham
  • Patent number: 11334410
    Abstract: Certain aspects of the present disclosure provide techniques for detecting and preventing failures in a cluster of systems. Embodiments include receiving a set of performance metrics from each respective system of the cluster of systems. Embodiments include determining a score for each respective system of the cluster of systems based on the set of performance metrics received from the respective system. Embodiments include comparing the score for each respective system of the cluster of systems to a threshold. Embodiments include identifying, based on the comparing, an aberrant system of the cluster of systems. Embodiments include performing a remedial action on the aberrant system.
    Type: Grant
    Filed: July 22, 2019
    Date of Patent: May 17, 2022
    Assignee: INTUIT INC.
    Inventor: Michael Pearl
  • Patent number: 11321134
    Abstract: In general, embodiments are disclosed herein for tracking and allocating graphics hardware resources. In one embodiment, a software and/or firmware process constructs a cross-application command queue utilization table based on one or more specified command queue quality of service (QoS) settings, in order to track the target and current utilization rates of each command queue on the graphics hardware over a given frame and to load work onto the graphics hardware in accordance with the utilization table. Based on the constructed utilization table for a given frame, any command queues that have exceed their respective target utilization value may be moved to an “inactive” status for the duration of the current frame. For any command queues that remain in an “active” status for the current frame, work from those command queues may be loaded on to slots of the appropriate data masters of the graphics hardware in any desired order.
    Type: Grant
    Filed: February 20, 2020
    Date of Patent: May 3, 2022
    Assignee: Apple Inc.
    Inventors: Kutty Banerjee, Michael Imbrogno
  • Patent number: 11308408
    Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to select an optimum recovery model by matching the feature of the learning signal set X with the recovery models generated through the recovery in formation P to estimate and recover normal signals for the some tags.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: April 19, 2022
    Assignee: Doosan Heavy Industries & Constructon Co., LTD
    Inventors: Jee Hun Park, Hyun Sik Kim
  • Patent number: 11307569
    Abstract: The system receives a set of present time-series signals gathered from sensors in the asset. Next, the system uses an inferential model to generate estimated values for the set of present time-series signals, and performs a pairwise differencing operation between actual values and the estimated values for the set of present time-series signals to produce residuals. The system then performs a sequential probability ratio test (SPRT) on the residuals to produce SPRT alarms with associated tripping frequency (TF). While the TF exceeds a TF threshold, the system iteratively adjusts sensitivity parameters for the SPRT to reduce the TF, and performs the SPRT again on the residuals. The system then uses a logistic regression model to compute a risk index for the asset based on the TF. If the risk index exceeds a threshold, the system generates a notification indicating that the asset needs to be replaced.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: April 19, 2022
    Assignee: Oracle International Corporation
    Inventors: Kenny C. Gross, Ashin George, DeJun Li
  • Patent number: 11301909
    Abstract: Techniques are provided for assigning a bias rating to a service based on bias and/or anti-bias testing. For example, unbiased data can be input to the service to, e.g., determine whether the service introduces elements of bias. As another example, biased data can be input to the service to determine whether the service provides elements of anti-bias. In one example, a computer-implemented method comprises selecting, by a device operatively coupled to a processor, source data configured according to a bias specification indicating a criterion that defines bias. The computer-implemented method can comprise determining whether bias exists in output data of the service and determining a bias rating based on the determining whether bias exists in the output data. The computer-implemented method can further comprise assigning the bias rating to the service.
    Type: Grant
    Filed: May 22, 2018
    Date of Patent: April 12, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Biplav Srivastava, Francesca Rossi
  • Patent number: 11301348
    Abstract: A computer platform for hosting applications utilizes a computing device to manage seasonal performance metric alerts. The computer device may include a memory and at least one processor coupled to the memory. The computer device may collect a time series of an application performance metric for a period of less than two weeks. The computer device may determine a daily distributions each day within the period. The computer device may apply a radial basis function (RBF) kernel-based change point detection to the time series to determine that the daily distributions include a weekend time period that has a different daily distribution than a time period before or after the weekend time period. The computer device may adjust a baseline prediction of the metric for the weekend time period. The computer device may send an alert based on a deviation of a value of the metric from the adjusted baseline prediction.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: April 12, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Rachel Lemberg, Raphael Fettaya, Dor Bank, Linoy Liat Barel
  • Patent number: 11301730
    Abstract: A method for detecting outliers is provided, the method comprising: receiving a digitized text corpus comprising a plurality of data points; identifying k clusters of the plurality of data points; sampling a data point among the plurality of data points as a first cluster center of the k clusters; determining sampling probability of each of remaining data points of the plurality of data points; sampling the next cluster center based on the sampling probability and iterate the process of determining sampling probability and the process of sampling the next cluster center until k cluster centers are sampled; generating weightage for each of the k cluster centers; determining sensitivity scores of the data points belonging to each of the k cluster centers; and labeling a data point having a sensitivity score greater than a threshold value as an outlier and removing the outlier from the digitized text corpus.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: April 12, 2022
    Assignee: Wipro Limited
    Inventor: Rameshwar Pratap Yadav
  • Patent number: 11303296
    Abstract: Embodiments include method, systems and computer program products for compressing instrumentation data. Aspects include defining an intermediate region of memory. Instrumentation data associated with a processing device is received and stored in the intermediate region of the memory. The instrumentation data is compressed in the intermediate region of memory and stored in a sample region of memory.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: April 12, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Tobias U. Bergmann, Klaus Theurich
  • Patent number: 11294802
    Abstract: A test suite is executed to test a computer program for a plurality of variables. A variable value is generated for each variable of the plurality of variables at a predetermined location of the computer program. Whether a test included in the test suite is successful is determined. If the test is successful, the variable value is recorded as part of a success value set. If the test is not successful, the variable value is recorded as part of a failure value set. A confidence metric is calculated for the variable value. A relevance metric for each variable of the plurality of variables is measured, based on a Jaccard distance between the success value set and the failure value set. The failure value set, the success value set, the confidence metric for the variable value, and the relevance metric for each variable of the plurality of variables are presented.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: April 5, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francisco M. Anaya, Tom C. L. Chen, Michael S. Fulton, Trong Truong
  • Patent number: 11295353
    Abstract: Techniques are disclosed for conducting poll-based reviews of various businesses and service providers and searching for the businesses and service providers having at least one review. A search module receives a search inquiry related to one or more reviewees having at least one review from one or more user devices. A filter module determines whether the one or more reviewees is associated with at least one search criteria in the search inquiry in order to identify reviewees that are associated with the received search criteria. Thereafter, the search module populates reviewees meeting the search criteria and displays the reviewees meeting the search criteria in a user interface. A trend analysis module performs a trend analysis for the reviewees meeting the search criteria.
    Type: Grant
    Filed: September 15, 2017
    Date of Patent: April 5, 2022
    Inventor: Kayhan Kucukcakar
  • Patent number: 11294803
    Abstract: A test suite is executed to test a computer program for a plurality of variables. A variable value is generated for each variable of the plurality of variables at a predetermined location of the computer program. Whether a test included in the test suite is successful is determined. If the test is successful, the variable value is recorded as part of a success value set. If the test is not successful, the variable value is recorded as part of a failure value set. A confidence metric is calculated for the variable value. A relevance metric for each variable of the plurality of variables is measured, based on a Jaccard distance between the success value set and the failure value set. The failure value set, the success value set, the confidence metric for the variable value, and the relevance metric for each variable of the plurality of variables are presented.
    Type: Grant
    Filed: August 7, 2017
    Date of Patent: April 5, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francisco M. Anaya, Tom C. L. Chen, Michael S. Fulton, Trong Truong
  • Patent number: 11288673
    Abstract: A method is disclosed. The method includes obtaining an access request associated with a user for a software application; obtaining a plurality of verification attributes associated with the user; generating a fraud score for the access request by feeding a supervised machine learning (ML) classifier with a feature vector for the user that is based on the plurality of verification attributes; selecting a first unsupervised ML anomaly detector of a plurality of unsupervised ML anomaly detectors based on the fraud score; generating an anomaly score for the access request by feeding the first unsupervised ML anomaly detector with an augmented feature vector for the user that is based on the plurality of verification attributes and the fraud score; and processing the access request based on the anomaly score.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: March 29, 2022
    Assignee: Intuit Inc.
    Inventors: Henry Venturelli, Natalie De Shetler
  • Patent number: 11281986
    Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: March 22, 2022
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Hao Hu, Preethi Natarajan, Nii Ako Ampa-Sowa, Stephen E. Jerman
  • Patent number: 11283697
    Abstract: Managing performance metrics includes: obtaining a plurality of performance metrics associated with a plurality of sources on a network; aggregating, at a first rate, the plurality of performance metrics associated with the plurality of sources to generate a plurality of first aggregated results; maintaining at least some of the plurality of first aggregated results in one or more memories; aggregating, at a second rate, the plurality of first aggregated results to generate a plurality of second aggregated results, the second rate being a lower rate than the first rate; and maintaining at least some of the plurality of second aggregated results in the one or more memories.
    Type: Grant
    Filed: February 26, 2016
    Date of Patent: March 22, 2022
    Assignee: VMWARE, INC.
    Inventors: Ranganathan Rajagopalan, Gaurav Rastogi, Praveen Yalagandula
  • Patent number: 11271820
    Abstract: A graphical event model method, system, and computer program product, include learning statistical and causal co-occurrence relationships among multiple event-types of data, requiring no complex input, and generating a representation that explains a mutual dynamic of the multiple event-types in a form of a graphical event model.
    Type: Grant
    Filed: November 23, 2018
    Date of Patent: March 8, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
  • Patent number: 11271915
    Abstract: A system for authenticating a user associated with a plurality of user devices using a plurality of types of authentication information. The system includes an electronic computing device including an electronic processor. The electronic processor is configured to receive, from a user device, a request to access sensitive information and send, to the user device, a request for a first accuracy measurement for a first type of authentication information. When first accuracy measurement is below a predetermined threshold, the electronic processor sends to the user device a request for a second accuracy measurement for a second type of authentication information. When the second accuracy measurement is above or equal to the predetermined threshold, the electronic processor authenticates the user and lowers the predetermined threshold for each user device associated with a user profile, records an anomaly associated with the first type of the authentication information, or both.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: March 8, 2022
    Assignee: MASTERCARD INTERNATIONAL INCORPORATED
    Inventor: Manoneet Kohli
  • Patent number: 11255729
    Abstract: An apparatus and method for monitoring a stability of a spectrum are provided. The apparatus for monitoring stability of a spectrum includes a spectroscope configured to measure a spectrum of a sample and a processor configured to calculate a similarity change index of the measured spectrum and to determine the stability of the measured spectrum by analyzing the calculated similarity change index.
    Type: Grant
    Filed: March 6, 2017
    Date of Patent: February 22, 2022
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Sang Kon Bae, Yun S Park, So Young Lee
  • Patent number: 11238688
    Abstract: An intelligent cash drawer unit or cash register is operable to process signals from load cells beneath note/coin cups when the drawer is open. It then determines the weight/value of cash in the cups, in order to either (a) detect an accurate weight in a cup comprising a poorly placed note, or (b) allow a float to be added, or a lift to be made, stepwise, whilst the drawer remains open. An intelligent cash drawer unit or cash register is also described which can detect a poorly placed note, by either (a) comparing signals from the load cells when the drawer is open, and when the drawer is closed or (b) monitoring stable readings, over a predetermined period when the drawer is closed and comparing the monitored values and where the apparent weight determined by the transducer appears to reduce by more than a predetermined amount, determining that a note is poorly placed.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: February 1, 2022
    Assignee: Tellermate Limited
    Inventors: Mark Bernhardt, Gerard Nicholas Schoen, Gareth Ross Jones, Justin Ray
  • Patent number: 11238339
    Abstract: A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a corpus of sources. The description may be based in part on the relationship of the token to at least a portion of the remainder of the corpus. A set of sentiment scores may be obtained. The sentiment scores in the set of sentiment scores may describe a sentiment associated with a corresponding token that is described by a vector from the set of vectors. The set of vectors and the set of sentiment scores may be input into a pattern-recognizer pathway in a first neural network. A probability value of a potential future event may then be generated by the first neural network. The probability value may be based on the set of vectors and the set of sentiment scores.
    Type: Grant
    Filed: August 2, 2017
    Date of Patent: February 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: Jeff Powell, Aaron K. Baughman, John J. Kent, John C. Newell, David Provan, Noah Syken
  • Patent number: 11232653
    Abstract: A smart vehicle system is disclosed, which relates to technology for increasing driving stability of a vehicle by performing a test related to reliability of the vehicle. The smart vehicle system includes a test information storage circuit, a controller, and a test circuit. The test information storage circuit classifies a test control information, a test condition information, and a test result information according to a plurality of test levels, and to stores a classified test result information therein. The controller determines at least one parameter value for performing a reliability test in response to a sensing information, the test control information, and the test condition information, and to generates a test enable signal in response to the parameter value. The test circuit tests a characteristic of a storage circuit in response to the test enable signal.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: January 25, 2022
    Assignee: SK hynix Inc.
    Inventor: Ho Sung Cho
  • Patent number: 11221855
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate transformation of an enterprise application into a cloud native container are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that employs a model to discover attributes of an enterprise application. The computer executable components can further comprise a transformation component that generates artifacts based on the attributes to transform the enterprise application into a cloud native container.
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: January 11, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jin Xiao, Anup Kalia, Jinho Hwang, Maja Vukovic, John Rofrano
  • Patent number: 11221937
    Abstract: A system and a method are disclosed for recommending a set of actions to be performed to improve a target performance metric of a client application. An action recommendation system receives the target performance metric from a user associated with the client application. The action recommendation system determines features of the client application describing characteristics and performance history of the client application. The features of the client application and the target performance metric is provided as input to a machine learning model that outputs sets of target features that are likely to result in improvement for the target performance metric. The action recommendation system ranks the sets of target features and selects one of the sets based on the ranking. The action recommendation system determines a set of recommended actions based on the selected set of target features and presents the set of recommended actions to the user.
    Type: Grant
    Filed: June 11, 2021
    Date of Patent: January 11, 2022
    Assignee: App Annie Inc.
    Inventors: Jess Robert Kerlin, Eric Antoine MacKinnon, Paul Ernest Stolorz
  • Patent number: 11210566
    Abstract: According to an embodiment, a training apparatus is a training apparatus training an inference model performing predetermined inference based on data, the training apparatus changes, according to a predefined distance for a selected piece of data selected based on predefined scores given to a plurality of pieces of data in a predefined classification space, the predefined score of a piece of data other than the selected piece of data, gives labels in the predefined classification space to pieces of data including the piece of data the predefined score of which is changed, builds training data from the pieces of data to which the labels are given, and updates the inference model using the training data.
    Type: Grant
    Filed: September 24, 2019
    Date of Patent: December 28, 2021
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Digital Solutions Corporation
    Inventor: Tamotsu Sato
  • Patent number: 11200141
    Abstract: An information handling system determines zones within a datacenter that exhibit poor component life. Components of the information handling system provide error indications and have error thresholds and warranty durations. The components organized into zones.
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: December 14, 2021
    Assignee: Dell Products L.P.
    Inventors: Vaideeswaran Ganesan, Pravin Janakiram, Chandrasekhar Revuri
  • Patent number: 11176206
    Abstract: Incremental generation of models with dynamic clustering. A first set of data is received. A first set of clusters based on the first set of data is generated. A respective first set of models for the first set of clusters is created. A second set of data is received. A second set of clusters, based on the second set of data and based on a subset of the first set of data, is generated. A respective second set of models for the second set of clusters, based on a subset of the first set of models and based on the second set of data, is created.
    Type: Grant
    Filed: December 1, 2015
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Allon Adir, Ehud Aharoni, Oded Margalit
  • Patent number: 11163277
    Abstract: An abnormality detection system, support device, and model generation method are provided for generating a more highly accurate abnormality detection model before an actual operation. A model generation part of an abnormality detection system includes a section for generating plural feature values from state values provided from a state value storage part, a section for selecting a combination of one or plural feature values among the plural generated feature values, a section for generating an extra learning data set having at least part of a data series of the feature values of the selected combination and a data series of statistically generated virtual feature values, and a section for evaluating a detection accuracy of a model corresponding to the feature values of the selected combination using the extra learning data set.
    Type: Grant
    Filed: January 16, 2019
    Date of Patent: November 2, 2021
    Assignee: OMRON Corporation
    Inventors: Shinsuke Kawanoue, Kota Miyamoto, Reiko Hattori, Yuki Hirohashi
  • Patent number: 11165657
    Abstract: An analysis device for analyzing services on a network includes: a storage unit configured to store, maintenance information collected, from the network, at a predetermined time interval and for each of the services, application rules describing a technique for applying a plurality of types of analysis logics classified by use, and a catalog describing specifications of the analysis logics; a rule application unit configured to, upon receipt of a request related to an analysis target service, apply the maintenance information over a predetermined period of the analysis target service to the application rules; an analysis logic selection unit configured to select the analysis logics for each use based on a result of the application to the application rules; and a collaborative catalog generation unit configured to generate a collaborative catalog including a combination of the catalogs describing the specifications of the selected analysis logics.
    Type: Grant
    Filed: February 22, 2019
    Date of Patent: November 2, 2021
    Assignee: Nippon Telegraph and Telephone Corporation
    Inventors: Naoyuki Tanji, Hiroshi Kato, Hiroyuki Yazaki, Nobuo Onai, Hiroyuki Tanaka, Kensuke Takahashi, Naoki Take
  • Patent number: 11164092
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel time series analysis. One of the methods includes receiving a plurality of data elements. The plurality of data elements are partitioned into a plurality of chunks, wherein the plurality of chunks, including a first chunk and a plurality of additional chunks, have an ordering according to the data elements included in each chunk. Each chunk is assigned to a particular segment of a plurality of segments. A first iteration of an autoregressive integrated moving average is computed for each chunk assigned to each segment. A second iteration of the autoregressive integrated moving average is computed for each chunk assigned to each segment, wherein computing uses the result data for a corresponding preceding chunk in the first iteration. One or more additional iterations of the autoregressive integrated moving average are computed until stopping criteria has been satisfied.
    Type: Grant
    Filed: January 13, 2020
    Date of Patent: November 2, 2021
    Assignee: Pivotal Software, Inc.
    Inventors: Hai Qian, Caleb E. Welton, Rahul Iyer, Shengwen Yang, Xixuan Feng
  • Patent number: 11157782
    Abstract: A method, computer system, and computer program product to detect anomalies in a multivariate or multidimensional time series data set. The time series data set is retrieved from a monitored device. A pair of neural networks are trained simultaneously using the retrieved time series data set by implementing an adversarial training process, to generate a generative neural network and a discriminative neural network. The anomalies in the time series data set of the monitored device are detected by implementing one or both of the generative neural network and the discriminative neural network to monitor the time series data set.
    Type: Grant
    Filed: November 16, 2017
    Date of Patent: October 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Luis Angel D. Bathen, Simon-Pierre Genot, Mu Qiao, Ramani R. Routray
  • Patent number: 11158306
    Abstract: One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the smart entities; identify a first object entity representing the first object from a first identifier in the first input timeseries; identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and store the first input timeseries in the first data entity.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: October 26, 2021
    Assignee: Johnson Controls Technology Company
    Inventors: Youngchoon Park, Sudhi R. Sinha, Vaidhyanathan Venkiteswaran, Vijaya S. Chennupati, Erik S. Paulson
  • Patent number: 11151983
    Abstract: One or more non-transitory computer readable media contain program instructions that, when executed, cause one or more processors to: receive first raw data including one or more first data points generated by a first object of a plurality of objects associated with one or more buildings; generate first input timeseries according to the one or more data points; access a database of interconnected smart entities, the smart entities including object entities representing each of the plurality of objects and data entities representing stored data, the smart entities being interconnected by relational objects indicating relationships between the smart entities; identify a first object entity representing the first object from a first identifier in the first input timeseries; identify a first data entity from a first relational object indicating a relationship between the first object entity and the first data entity; and store the first input timeseries in the first data entity.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: October 19, 2021
    Assignee: Johnson Controls Technology Company
    Inventors: Youngchoon Park, Sudhi R. Sinha, Vaidhyanathan Venkiteswaran, Erik S. Paulson, Vijaya S. Chennupati
  • Patent number: 11147200
    Abstract: A pick and place nozzle performance analytics system streams production data from pick and place machines used in electronic assembly to a cloud platform as torrential data streams, and performs analytics on the production data to track, visualize, and predict performance of individual nozzles in terms of rejects or miss-picks. The analytics system generates a performance vector for each nozzle based on the collected production data, the performance vector tracking both the accumulated rejects and the percentage of rejects as respective dimensions of an x-y plane. The system monitors and analyzes the trajectory of this vector in the x-y plane to predict when performance degradation of the nozzle will reach a critical threshold. In response to predicting that nozzle performance degradation will exceed a threshold at a future time, the system can generate and deliver notifications to appropriate client devices.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: October 12, 2021
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Mikica Cvijetinovic, Gregory J. Vance, Francisco P. Maturana
  • Patent number: 11144686
    Abstract: The invention relates to a method for simulating an impact of particles/radiation on an object: (a) Providing a control memory including control memory locations and a mass memory including mass memory locations. (b) Building a simulated particle/radiation unit, wherein this particle or the radiation unit is designated for impact on the object. (c) Defining at least one property/energetic state of a particular, individual particle/radiation unit. (d) Carrying out a simulated impact of the particular individual particle/radiation unit on the object, wherein a distribution function of an impact site and/or of a velocity of the particular individual particle/radiation unit is used. (e) Determining or querying at least one local property and/or a local energetic state of at least one affected object element. (f) Determining or querying a collision event caused by the impact and acting on the individual particle/radiation unit and/or the affected object element or volume element.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: October 12, 2021
    Assignee: Bundesrepublik Deutschland, vertreten durch den Bundesminister für Wirtschaft und Energie
    Inventors: Dirk Spaltmann, Mathias Woydt
  • Patent number: 11146444
    Abstract: A computer system to detect data alerts includes a data preprocessing system and a data analysis system. The data preprocessing system obtains system data of the computer system, generates predicted data based on the system data, and generates differential data indicating a difference between the system data and the predicted data. The data analysis is in signal communication with the data preprocessing system and determines that the differential data is one of expected event or an anomaly event in response to adding at least one new value from the differential data to the predicted data.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: October 12, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Al Chakra, Tian Ming Pan, Peng Fei Tian, Chu Yun Cloud Tony, Cheng Fang Wang
  • Patent number: 11132233
    Abstract: Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute a received instruction; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In another embodiment, the core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, to reserve a predetermined amount of memory space in a thread control memory to store return arguments, and to generate one or more work descriptor data packets to another processor or hybrid threading fabric circuit for execution of a corresponding plurality of execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: September 28, 2021
    Assignee: Micron Technology, Inc.
    Inventor: Tony M. Brewer
  • Patent number: 11126485
    Abstract: A risk assessment manager for run-time patches receives a run-time patch to update one or more portions of a memory space, determines a first portion of memory of the one or more portions of the memory space to be updated by the run-time patch, and monitors the first portion of the memory space to detect accesses of the first portion of memory. The risk assessment manager determines a risk assessment value for the run-time patch in view of a number of accesses of the first portion of the memory space, and executes a test process for the run-time patch in view of the risk assessment value.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: September 21, 2021
    Assignee: Red Hat, Inc.
    Inventor: Michael Tsirkin
  • Patent number: 11120210
    Abstract: Disclosed herein are systems, methods, and software for enhancing document productivity. In one implementation, various entries in a document are examined to identify at least an entry recognizable as an entity that is potentially related to at least one of various additional entities external to the document. At least a subset of the additional entities may be identified for surfacing in a user interface for potential inclusion in the document. In response to a selection of at least one of the subset of the additional entities, at least the one additional entity of the subset of the additional entities is included in the document in association with the entry.
    Type: Grant
    Filed: July 18, 2014
    Date of Patent: September 14, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Nickolas D. Welton, Benjamin E. Rampson, Stephen J. Adelson
  • Patent number: 11113808
    Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess quality of produce at a facility. In some embodiments, there is provided a system for assessing quality of produce at a facility including a produce assessment station configured to provide a staging area to determine a quality classification of a target produce. By one approach, the produce assessment station includes a fixed surface; a rotatable base, a first arm comprising a microphone; a second arm comprising a tapping device; and a local control circuit. In one configuration, the local control circuit configured to rotate the rotatable base at a particular angle and at a particular time interval and receive audio data from the microphone. By one approach, the system includes a plurality of sensors and a portable device configured to provide a signal to the local control circuit to initiate the quality classification of the target produce.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: September 7, 2021
    Assignee: Walmart Apollo, LLC
    Inventors: Mangesh N. Kulkarni Wadhonkar, Parul Aggarwal, Anika Setia, Akshay Jindal, Rahul Kumar, Amit Jhunjhunwala, Artur A. Grochala
  • Patent number: 11105939
    Abstract: A method for correcting PET data includes acquiring first PET data at a time interval. The method also includes acquiring a first normalization coefficient corresponding to the first PET data. The method also includes determining a scale factor based at least partially on the first normalization coefficient. The method also includes determining second PET data based on the first PET data, the scale factor, and the second normalization coefficient. The method also includes determining a first dead time correction coefficient corresponding to the second PET data. The method also includes determining third PET data based on the second PET data and the first dead time correction coefficient. The method further includes reconstructing a first image based on the third PET data.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: August 31, 2021
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE. CO., LTD.
    Inventor: Xiaoxia Dong
  • Patent number: 11099529
    Abstract: A computer-implemented method for controlling a production system includes mapping, by a controller, the production system as a directed acyclic graph. The production system can include multiple plants that are represented as nodes and relations between the plants represented by edges of the directed acyclic graph. The method further includes generating, by the controller, a regression model for each of the plants in the production system. The method further includes predicting, by the controller, an output of each plant based on sensor data associated from each plant. The method further includes adjusting, by the controller, one or more control variables for each plant based on a target output by using machine learning. The method further includes adjusting, by the controller, the one or more control variables for each plant to generate the target output.
    Type: Grant
    Filed: July 23, 2019
    Date of Patent: August 24, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Dzung Phan, Lam Nguyen, Pavankumar Murali, Jayant R. Kalagnanam
  • Patent number: 11095544
    Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for determining latent components of a metrics time series and identifying anomalous data within the metrics time series based on one or both of spikes/dips and level changes from the latent components satisfying significance thresholds. To identify such latent components, in some cases, the disclosed systems account for a range of value types by intelligently subjecting real values to a latent-component constraint for decomposing the time series and intelligently excluding non-real values from the latent-component constraint. The disclosed systems can further identify significant anomalous data values from latent components of the metrics time series by jointly determining whether one or both of a subseries of a spike-component series and a level change from a level-component series satisfy significance thresholds.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: August 17, 2021
    Assignee: ADOBE INC.
    Inventors: Aishwarya Asesh, Sunav Choudhary, Shiv Kumar Saini, Chris Challis
  • Patent number: 11093988
    Abstract: A biometric measures profiling analytics system and method are presented. The system and method include collecting biometric data associated with a consumer, and determining one or more biometric variables representing a measurable aspect of the biometric data. The system and method further include generating, based on at least one of the one or more biometric variables, at least one biometric profile variable associated with the consumer, the at least one biometric profile variable representing a degree of normality or abnormality of the collected and calibrated biometric data as compared to a biometric history of the consumer. The system and method further include generating a behavioral score for the consumer based on the collected and calibrated biometric data and with at least one biometric profile variable, the behavioral score representing a degree of risk of normality or abnormality of an event associated with the biometric data.
    Type: Grant
    Filed: February 3, 2015
    Date of Patent: August 17, 2021
    Assignee: FAIR ISAAC CORPORATION
    Inventors: Scott M. Zoldi, Stuart C. Wells
  • Patent number: 11086755
    Abstract: The invention relates to an application monitoring tool. According to an embodiment of the present invention, the application monitoring tool has an integrated event/tracing API that traces distributed and non-distributed system flows. For example, a tracing approach may be integrated with a Metrics functionality in that tracing may be throttled or turned on/off based on defined intervals, threshold breaches, and/or anomaly detection of related metrics. If an application's web service calls are beginning to take longer than “normal,” an event/tracing collection feature may be activated to trace calls to enable deeper analysis of the problem.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: August 10, 2021
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Daniel J. Gaier, Brian R. Pennell, David Richard Kalkstein Deloveh, Tristan Chiappisi, Paul Knuth, Michael Frank
  • Patent number: 11086310
    Abstract: A method includes obtaining measurements associated with a plurality of controlled variables (CVs) and a plurality of manipulated variables (MVs). The method also includes detecting an irregular operating condition of a CV or an MV. The method also includes analyzing case specific operating conditions based on the irregular operating condition. The method further includes removing the irregular operating condition based on analyzing the case specific operating conditions.
    Type: Grant
    Filed: May 27, 2015
    Date of Patent: August 10, 2021
    Assignee: HONEYWELL INTERNATIONAL INC.
    Inventors: Michael Niemiec, Andrew Trenchard, Christopher Webb