Artificial Intelligence (e.g., Diagnostic Expert System) Patents (Class 714/26)
  • Patent number: 12038830
    Abstract: A double-blind comparison is performed between prognostic-surveillance systems, which are located on a local system and a remote system. During operation, the local system inserts random faults into a dataset to produce a locally seeded dataset, wherein the random faults are inserted into random signals at random times with variable fault signatures. Next, the local system exchanges the locally seeded dataset with a remote system, and in return receives a remotely seeded dataset, which was produced by the remote system by inserting different random faults into the same dataset. Next, the local system uses a local prognostic-surveillance system to analyze the remotely seeded dataset to produce locally detected faults. Finally, the local system determines a performance of the local prognostic-surveillance system by comparing the locally detected faults against actual faults in the remotely seeded fault information. The remote system similarly determines a performance of a remote prognostic-surveillance system.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: July 16, 2024
    Assignee: Oracle International Corporation
    Inventors: Rui Zhong, Guang C. Wang, Kenny C. Gross, Ashin George, Zexi Chen
  • Patent number: 12038824
    Abstract: A replay tool configured in a learning mode is used to replay a recorded interaction workflow to obtain respective learning-mode test data responsive to a request from a client device to a server. A baseline response template is obtained from the respective learning-mode test data. A baseline response time of the request is also obtained from the respective learning-mode test data. The recorded interaction workflow is replayed in a testing mode to obtain testing-mode test data. Responsive to determining that a response body included in the testing-mode test data is inconsistent with the baseline response template, a first anomaly message is output. Responsive to determining that the response time included in the testing-mode test data is not within a tolerance of the baseline response time, a second anomaly message is output.
    Type: Grant
    Filed: June 2, 2022
    Date of Patent: July 16, 2024
    Assignee: ThoughtSpot, Inc.
    Inventors: Atul Mangat, Varsha Lalwani, Divesh Gandhi
  • Patent number: 12040945
    Abstract: A method includes processing event data to detect a status of a network function. The event data is processed based on two or more conditions defined by a correlation policy. The correlation policy includes a non-deterministic finite automata tree (NFAT) structure correlation policy having a policy type. The method also includes determining a first value of a first condition of the two or more conditions. The method further includes determining a second value of a second condition of the two or more conditions. The method additionally includes determining the policy type of the NFAT structure correlation policy. The method also includes determining whether the first value is greater than a first preset value indicative of whether the first condition is satisfied. The method further includes determining whether the second value is greater than a second preset value indicative of whether the second condition is satisfied.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: July 16, 2024
    Assignee: RAKUTEN MOBILE INC.
    Inventors: Surender Singh Lamba, Mihirraj Narendra Dixit, Abhishek Sharma, Bharath Rathinam, Rahul Atri
  • Patent number: 12025634
    Abstract: A rotational speed measurement system includes a video device configured to obtain a video of a pulley of a conveyor belt system. The rotational speed measurement system also includes a strobe configured to generate a stroboscopic effect on the obtained video. The rotational speed measurement system also includes a memory device. The rotational speed measurement system also includes a network interface. The rotational speed measurement system also includes one or more processors configured to: generate a stroboscopic window using the strobe and the obtained video, synchronize the strobe with the obtained video using the stroboscopic window, determine a measured rotational speed for the pulley based on the synchronized strobe, and determine belt slippage based on the measured rotational speed.
    Type: Grant
    Filed: June 21, 2021
    Date of Patent: July 2, 2024
    Assignee: ContiTech Antriebssysteme GmbH
    Inventor: Michel Lortie
  • Patent number: 12019501
    Abstract: A system having a plurality of marking and/or coding devices and a computing system coupled to the devices and having processor configured to: receive sensor data associated with each device; and store printer metadata and batch job metadata in a backup file for each device. The processor is configured to classify a fault condition of a respective one device based on one or more of received sensor data, device self-test data, current operational data and historical device condition data. The processor is configured to determine autonomously a repair process recommendation in response to the classified fault condition and based on an estimated time to repair (ETR) the device using a self-repair recovery process relative to a line recovery time (LRT) threshold. The processor is configured to recommend as the repair process recommendation the self-repair recovery process in response to the ETR being less than or equal to the LRT threshold.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: June 25, 2024
    Assignee: Videojet Technologies Inc.
    Inventors: Robert Weaver, John P. Folkers, Fred Susi, Robert Smith
  • Patent number: 12021614
    Abstract: Network throughput can be increased and the message failure rate can be reduced in 5G and 6G communications by use of AI-based fault mitigation: that ism detection, localization, and correction of faulted message elements in real-time. A receiver provides the demodulated message, along with amplitude and phase measurements of each message element, directly to a properly trained artificial intelligence model. The model determines the most-likely faulted message elements, and in some cases can indicate the most probable correct value of the faulted message elements. The AI model can also determine the fault probability of each message element. The expected message content (such as value ranges and predetermined format) can also be provided to the AI model, for further corruption sensitivity. By correcting faulted messages in less time than required for a retransmission, the system can save time, reduce backgrounds, and greatly reduce dropped messages.
    Type: Grant
    Filed: July 17, 2023
    Date of Patent: June 25, 2024
    Inventors: David E. Newman, R. Kemp Massengill
  • Patent number: 11997526
    Abstract: Systems and methods for network device management are described. An indication of a failed network connection between a first user device and a second network device can be received. Using data from the first network device, the first user device, at least one second network device, and/or at least one second user device, one or more characteristics of the first network device and/or the at least one second network device can be determined. Modification of the determined one or more characteristics can be caused.
    Type: Grant
    Filed: April 22, 2022
    Date of Patent: May 28, 2024
    Assignee: Comcast Cable Communications, LLC
    Inventors: Thomas Priore, Kevin Colflesh, Jason Warren
  • Patent number: 11954568
    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: April 9, 2024
    Assignee: Cisco Technology, Inc.
    Inventors: Harish Doddala, Tian Bu, Tej Redkar
  • Patent number: 11931905
    Abstract: A failure prediction method of predicting a failure of a component of a robot including a robot arm having the component and a detection section that detects information on vibration characteristics when the robot arm moves, includes generating a failure prediction model for prediction of the failure of the component by machine learning based on the information on vibration characteristics, and predicting the failure of the component based on an estimated value of failure prediction output by the generated failure prediction model when the information on vibration characteristics is input to the generated failure prediction model.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: March 19, 2024
    Assignee: SEIKO EPSON CORPORATION
    Inventors: Toshinori Hiraide, Yimei Ding
  • Patent number: 11914458
    Abstract: Systems and methods are disclosed herein for monitoring, detecting, and mitigating hardware and software failures. An error detection module monitors the execution of software processes and detects failures of the monitored processes. The error detection module may monitor reboot events and correlate reboot events with failures of the monitored software processes. If a monitored process fails, the error detection module may log the failure and its cause. If the same process has failed numerous times, causing the user device to experience a reboot loop, remedial action may be taken based on the cause of the failure.
    Type: Grant
    Filed: August 3, 2021
    Date of Patent: February 27, 2024
    Assignee: Rovi Guides, Inc.
    Inventors: Todd Kulick, Igor Pichkov
  • Patent number: 11914550
    Abstract: A system can include instructions for generating a machine-learning model, including accessing, from a memory device, training data including two or more first commands. The first commands can be manually generated in response to a utilization exceeding a preset threshold and two or more first conditions, including a date and time the utilization exceeded the preset threshold. The training data can also include second commands generated by the machine-learning model in response to the utilization exceeding the preset threshold. The system may train the machine-learning model using a machine-learning algorithm using the training data and the second commands. The system may receive an indication of a utilization exceeding a preset threshold and determine, using the machine-learning model, an action responsive to the utilization. A command can be outputted to execute the action responsive to the utilization.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: February 27, 2024
    Assignee: Truist Bank
    Inventor: Lauren Mapp
  • Patent number: 11907057
    Abstract: Various embodiments of the teachings herein include a fault processing method comprising: receiving two historical faults similar to a target fault; searching keywords in a description of the target fault and each historical fault, wherein the keywords are classified into N grades, and for each system component in a grade, the grade comprises at least one keyword for describing the component, wherein N is an integer no less than 2; for each of the N grades, counting a quantity of identical system components represented by the keywords in the text description of each historical fault and the target fault; and comparing a degree of similarity of each historical fault to the target fault according to the quantity of identical system components counted in each grade of the N different grades, wherein a historical fault relating to a larger number of high-grade identical system components has a higher degree of similarity to the target fault.
    Type: Grant
    Filed: October 16, 2019
    Date of Patent: February 20, 2024
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Xiao Yin Che, Hao Tian Hui, Jiao Jian Wang, Ruo Gu Sheng, Daniel Schneegaß
  • Patent number: 11895355
    Abstract: A video playback method executed in a computer system includes measuring a bitrate in transport stream (TS) file units, and selecting the image quality of the next TS file in consideration of the bitrate and the amount of buffer that has already been loaded.
    Type: Grant
    Filed: October 1, 2021
    Date of Patent: February 6, 2024
    Assignee: NAVER CORPORATION
    Inventor: Jaeho Lee
  • Patent number: 11886648
    Abstract: A method for detecting and/or localizing keyboard accessibility failures (KAFs) in a web page is disclosed. A web page is rendered in a browser on a display portion of a computing system. A keyboard navigation flow graph based on based on keyboard-based navigation of a user with the web page. A second point-click navigation flow graph based on mouse-based navigation of the user with the web page. One or more KAFs are determined based on a comparison of the first graphical model with the second graphical model.
    Type: Grant
    Filed: August 19, 2022
    Date of Patent: January 30, 2024
    Assignee: University Of Southern California
    Inventors: Paul Chiou, Ali Alotaibi, William Halfond
  • Patent number: 11881013
    Abstract: A system configuration suitable for carrying out video recognition by machine learning in a video system including an imaging device and a video processing device is provided. One aspect of the video system according to the present invention includes an imaging device and a video processing device. The imaging device includes an imaging unit configured to generate video data by imaging, a front side NN unit including multiple layers of neural networks from an input layer to a predetermined intermediate hidden layer (hereinafter referred to as “intermediate hidden layer”) that are configured to perform recognition processing of the video data; and an imaging side control unit configured to transmit an output of the intermediate hidden layer of the front side NN unit (hereinafter referred to as “intermediate feature quantity”).
    Type: Grant
    Filed: March 20, 2019
    Date of Patent: January 23, 2024
    Assignee: HITACHI KOKUSAI ELECTRIC INC.
    Inventor: Takaomi Kanda
  • Patent number: 11836963
    Abstract: System and techniques for computer vision assisted item search are described herein. A composite image, including visual data and depth data, may be obtained. The composite image may be filtered to isolate a clothing article represented in the composite image. A classifier may be applied to the depth data to produce a set of clothing attributes for the clothing article. The clothing attributes may then be provided to a remote device.
    Type: Grant
    Filed: June 30, 2022
    Date of Patent: December 5, 2023
    Assignee: INTEL CORPORATION
    Inventors: Jim S. Baca, David Stanasolovich
  • Patent number: 11829122
    Abstract: Various embodiments of the teachings herein include an industrial network behavior analysis method. The method may include: defining a first time window for a target industrial control system, for the target industrial control system to perform a control behavior; respectively determining an execution probability deviation for each control instruction within the first time window and using the execution probability to characterize the ratio of the number of times the corresponding control instruction is executed within a time period to the total number of times the control instruction within the time period; defining a second time window according to the control instruction characterizing a time period when the system performs the corresponding control behavior, and the control behavior is the same as that performed in the first time window.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 28, 2023
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventor: Dai Fei Guo
  • Patent number: 11817950
    Abstract: Artificial Intelligence (AI) can rapidly evaluate a faulted message in 5G or 6G, calculate a likelihood that each message element is faulted, and optionally suggest a most probable corrected version for each of the likely faulted message elements. To do so, the AI takes in numerous factors besides the message itself, such as the modulation quality of each message element, the proximity and quality of a nearest demodulation reference, a signal-to-noise ratio of the message element, a measure of current electromagnetic noise during the message element, an expected format or expected codewords based on prior messages or convention, and other factors. The AI model can then provide guidance as to mitigation, such as choosing whether to request a retransmission or attempting to vary the likely faulted message elements. The AI model can be adapted to fixed-site computers or to the more limited computers of a mobile user device.
    Type: Grant
    Filed: November 21, 2022
    Date of Patent: November 14, 2023
    Assignee: Ultralogic 6G, LLC
    Inventors: David E. Newman, R. Kemp Massengill
  • Patent number: 11797366
    Abstract: A process for analyzing an incident includes setting up an alert for a high error rate on a particular endpoint. Once the alert is triggered, a set of traces for transactions exhibiting errors on the offending endpoint is queried. All traces for other services/operations that include errors on the offending endpoint are also enumerated. A set of baseline transactions that involve the offending endpoint, but do not result in error may be utilized to determine whether the errors are always present, or are distinctive for certain offending transactions. All traces are ranked based on a statistic. Once the traces have been ranked, they may be traced down to a deepest/most terminal error. A set of transactions that correlate to the terminal error may also be analyzed to determine infrastructure causes.
    Type: Grant
    Filed: July 12, 2022
    Date of Patent: October 24, 2023
    Assignee: Splunk Inc.
    Inventor: Joseph Ari Ross
  • Patent number: 11777788
    Abstract: In one embodiment, an issue analysis service obtains telemetry data from a plurality of devices in a network across a plurality of time intervals. The service detects a failure event in which a device in the network is in a failure state. The service clusters the telemetry data obtained prior to the failure event into rounds according to time intervals in which the telemetry data was collected. Each round corresponds to a particular time interval. The service applies a machine learning-based classifier to each one of the rounds of clustered telemetry data to identify one or more common traits appearing in the telemetry data for each round. The service generates a trait change report indicating a change in the one or more common traits appearing in the telemetry data across the rounds leading up to the failure event.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: October 3, 2023
    Assignee: Cisco Technology, Inc.
    Inventors: Magnus Mortensen, Jay Kemper Johnston, David C. White, Jr.
  • Patent number: 11755908
    Abstract: A system and method to reduce weight storage bits for a deep-learning network includes a quantizing module and a cluster-number reduction module. The quantizing module quantizes neural weights of each quantization layer of the deep-learning network. The cluster-number reduction module reduces the predetermined number of clusters for a layer having a clustering error that is a minimum of the clustering errors of the plurality of quantization layers. The quantizing module requantizes the layer based on the reduced predetermined number of clusters for the layer and the cluster-number reduction module further determines another layer having a clustering error that is a minimum of the clustering errors of the plurality of quantized layers and reduces the predetermined number of clusters for the another layer until a recognition performance of the deep-learning network has been reduced by a predetermined threshold.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: September 12, 2023
    Inventors: Zhengping Ji, John Wakefield Brothers
  • Patent number: 11748173
    Abstract: An information processing system executes a series of processes. The information processing system includes a computer which manages, among multiple programs for executing the series of processes, a first program included in the information processing system and one or more second programs registered in the information processing system. The computer controls execution of the series of processes including a process executed by the second program and controls a virtual server for executing the second program.
    Type: Grant
    Filed: July 16, 2020
    Date of Patent: September 5, 2023
    Assignee: Ricoh Company, Ltd.
    Inventor: Yuuichiroh Hayashi
  • Patent number: 11740955
    Abstract: Embodiments of the present disclosure relate to a method for providing log information, an electronic device, and a computer program product.
    Type: Grant
    Filed: May 11, 2020
    Date of Patent: August 29, 2023
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventors: Adona Li Sun, Qingxiao Zheng, Bing Bai, Sager Liao, Beryl Wang, Jing Wang
  • Patent number: 11727091
    Abstract: Disclosed are apparatus and methods for automatically training a sensor node to detect anomalies in an environment. At the sensor node, an indication is received to initiate training by the sensor node to detect anomalies in the environment based on sensor data generated by a sensor that resides on such sensor node and is operable to detect sensor signals from the environment. After training is initiated, the sensor node automatically trains a model that resides on the sensor to detect anomalies in the environment, and such training is based on the sensor data. After the model is trained, the model to detect anomalies in the environment is executed by the sensor node.
    Type: Grant
    Filed: September 8, 2021
    Date of Patent: August 15, 2023
    Assignee: Qeexo, Co.
    Inventors: Karanpreet Singh, Rajen Bhatt
  • Patent number: 11704186
    Abstract: Storage management is performed. For example, a computing device may determine that a fault belongs to one of a plurality of predefined fault categories based on description information of the fault of a storage system. Then, the computing device may determine at least one fault cause associated with the fault category at a first level of a hierarchical structure of predetermined fault causes. Further, the computing device may determine a first fault cause that causes the fault among the at least one fault cause. After that, the computing device may determine a target fault cause at the deepest level that causes the fault based on the first fault cause. As a result, the root cause of a fault of a storage system may be accurately and efficiently determined, thereby providing the possibility of fundamentally eliminating the fault.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: July 18, 2023
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventor: Kelvon Naifeng Li
  • Patent number: 11693696
    Abstract: Techniques for processing a request may include: providing tasks to a state machine framework, wherein the tasks perform processing of a workflow for servicing the request; generating, by the state machine framework, a state machine for processing the request, wherein the state machine includes states associated with the tasks, wherein generating the state machine may include automatically determining a first state transition of the state machine between a first and a second of the states; receiving the request; and responsive to receiving the request, performing first processing using the state machine to service the request. The framework may automatically generate triggers that drive the state machine to determine subsequent states in accordance with defined state transitions. State machine internal state information may be persistently stored and used in restoring the state machine to one of its states in connection processing of the command.
    Type: Grant
    Filed: September 11, 2020
    Date of Patent: July 4, 2023
    Assignee: EMC IP Holding Company LLC
    Inventors: Daniel K. O'Reilly, Jr., Matthew P. Jean, Michael J. Burns
  • Patent number: 11694133
    Abstract: Embodiments include a system, method, and a computer program product for notifying a technician when a repair task the technician is addressing may be negatively impacted by a nearby fault and/or if the technician is qualified to repair a nearby fault. The technician is qualified if the technician has the necessary skills, parts (e.g., materials), and/or equipment (test equipment) required to repair the nearby fault. In addition, embodiments include receiving and responding to queries from a technician to: determine whether any of the repair tasks associated with the technician's assigned tickets are futile tasks based on newly received faults or pending tickets; and determine whether the querying technician is qualified to address (e.g., repair) any newly received faults or pending tickets.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: July 4, 2023
    Assignee: CSC Holdings, LLC
    Inventors: Robert Cruickshank, III, Lou Riley
  • Patent number: 11675653
    Abstract: Systems and methods are described identify a database metric value associated with a database instance storing a dataset associated with a user system. A database issue is detected in view of a determination that the database metric value satisfies a condition. In response to satisfaction of the condition, a set of user action metrics associated with the user system is collected from one or more data monitoring systems. At least one notification communication is generated including at least a portion of the set of user action metrics and information identifying the database issue. The at least one notification communication is transmitted to a remediation execution system configured to execute, using the at least a portion of the set of user action metrics and information identifying the database issue, a remedial action in response to the database issue.
    Type: Grant
    Filed: May 11, 2021
    Date of Patent: June 13, 2023
    Assignee: salesforce.com, inc.
    Inventors: Shainesh Baheti, Anand Vardhan, Aishanya Singh, Venkatesh Bora, Arjun Kumar Bachuwar
  • Patent number: 11650823
    Abstract: An information processing apparatus includes a processor configured to execute a reset process for resetting a watchdog timer, execute a recovery process of the information processing apparatus, in a case where the watchdog timer is not able to be reset within a time limit, and sets the time limit to a longer time, in a case where an apparatus load which is at least one of a current processing load per unit time of the information processing apparatus or a processing amount of a processing request which is input to the information processing apparatus is large, as compared to a case where the apparatus load is small.
    Type: Grant
    Filed: February 20, 2020
    Date of Patent: May 16, 2023
    Assignee: FUJIFILM Business Innovation Corp.
    Inventors: Masato Saito, Masayoshi Miki, Teiju Sato, Yasuhiro Nakatani
  • Patent number: 11652852
    Abstract: A security manager configured to generate a plurality of learned security policies and provide at least one learned security policy and a security agent to a client machine for enforcement of the at least one learned security policy by the security agent on the client machine. The security manager configured to receive alerts from the security agent indicating anomalous behavior on the client machine.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: May 16, 2023
    Assignee: International Business Machines Corporation
    Inventors: Alexandra Shulman-Peleg, Shmuel Regev, Ron Peleg, Shahar Kohanim, Zohar Basil
  • Patent number: 11645131
    Abstract: Systems, methods, and computer-readable media for fault code aggregation across application-centric dimensions. In an example embodiment, a system obtains respective fault codes corresponding to one or more network devices in a network and maps the one or more network devices and/or the respective fault codes to respective logical policy entities defined in a logical policy model of the network, to yield fault code mappings. The system aggregates the one or more of the fault code mappings along respective logical policy dimensions in the network to yield an aggregation of fault codes across respective logical policy dimensions and, based on the aggregation, presents, for each of the respective logical policy dimensions, one or more hardware-level errors along the respective logical policy dimension.
    Type: Grant
    Filed: July 28, 2017
    Date of Patent: May 9, 2023
    Assignee: Cisco Technology, Inc.
    Inventors: John Thomas Monk, Kartik Mohanram, Ramana Rao Kompella, Sundar Iyer
  • Patent number: 11620742
    Abstract: Computer implemented method for training a software infrastructure based on machine learning techniques and intended for analysis of data obtained from a three-dimensional tomographic inspection of objects of a predetermined type, such as logs, with the aim of determining information about internal characteristics of interest of the self-same objects, wherein, once a training set comprising a plurality of objects of the same predetermined type has been selected, for each object the software infrastructure is supplied with training input data and corresponding training output data, which are processed by the software infrastructure for setting internal processing parameters of the software infrastructure which correlate the training input data with the training output data; where the training input data comprise data obtained from a three-dimensional tomographic inspection of the object, and the training output data comprise information about internal characteristics of interest assessed at internal points of
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: April 4, 2023
    Assignee: MICROTEC S.R.L.
    Inventors: Enrico Ursella, Enrico Vicario, Federico Giudiceandrea
  • Patent number: 11616682
    Abstract: In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.
    Type: Grant
    Filed: April 8, 2022
    Date of Patent: March 28, 2023
    Assignee: Cisco Technology, Inc.
    Inventors: Sajjit Thampy, Santosh Ghanshyam Pandey, Jean-Philippe Vasseur
  • Patent number: 11610225
    Abstract: An online system optimizes for longer attribution window conversions with an additive decomposition model by predicting the probability that a predefined action happens given an impression/click. The online system receives a content item from a content provider for display to a target user, and predicts a probability that a target user will convert given an interaction with the content item by the target user. The online system computes, by a first trained model, a short-term conversion probability of a conversion event happening within a first conversion window after the interaction. The online system computes, by a second trained model, a long-term conversion probability of the a conversion event happening within a second conversion window after the interaction, the second conversion window being longer than the first conversion window. The online system computes the conversion probability given the interaction based on the short-term conversion probability and the long-term conversion probability.
    Type: Grant
    Filed: April 21, 2020
    Date of Patent: March 21, 2023
    Assignee: META PLATFORMS, INC.
    Inventors: Zheng Chen, Shyamsundar Rajaram, Pradheep K. Elango
  • Patent number: 11604983
    Abstract: A neural network system includes a primary input layer configured to acquire data in both a learning mode and an operation mode, an auxiliary input layer configured to acquire data solely in the learning mode, a first partial network configured to carry out learning using both an output of the primary input layer and an output of the auxiliary input layer and to subsequently carry out learning solely using the output of the primary input layer so as to produce a same calculation result as a calculation result produced using both the output of the primary input layer and the output of the auxiliary input layer, and a second partial network configured to carry out calculations in the learning mode and the operation mode upon receiving an output of the first partial network.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: March 14, 2023
    Assignee: NATIONAL UNIVERSITY CORPORATION YOKOHAMA NATIONAL UNIVERSITY
    Inventors: Tomoharu Nagao, Miku Yanagimoto
  • Patent number: 11595513
    Abstract: Remote on-demand site link testing is provided. A site link tester (SLT) system includes an SLT connected to a customer's VoIP phone system. The SLT is configured to communicate with a front end client application operating remotely on a user's computing device. The packet-capture application receives instructions from the client application to perform a packet capture in association with the SLT's network interface and/or to operate as an emulated VoIP endpoint and conduct a test call (e.g., to confirm the customer's VoIP system's compliance with 911-associated legislation or to troubleshoot a VoIP issue). Results of the packet capture may be sent to the client application and analyzed for remotely diagnosing and troubleshooting VoIP-related problems. Using the SLT system, the technician is enabled to perform 911-associated legislation compliance and diagnose VoIP issues on-demand from a remote location, which can reduce or eliminate the need for a technician to be on-site.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: February 28, 2023
    Assignee: CenturyLink Intellectual Property LLC
    Inventor: John Nixon
  • Patent number: 11575725
    Abstract: A device may receive information associated with media content that is capable of being provided by a first content delivery network and a second content delivery network. The first content delivery network may include a first host device and a second host device. The device may determine scores associated with the first content delivery network and the second content delivery network. The device may provide, based on the scores, information regarding the first content delivery to a user device to cause the user device to request the media content from the first content delivery network. The device may determine scores associated with the first host device and the second host device. The device may provide information regarding the first host device to a network device to cause the network device to route requests for the media content to the first host device.
    Type: Grant
    Filed: December 29, 2015
    Date of Patent: February 7, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Jian Huang, Gong Zhang, Susan Kelly, Harshal Khandare, Guanrao Chen
  • Patent number: 11567948
    Abstract: An issue tracking system configured to determine similarity between issue content in an issue request issue content in a previously submitted issue record. Based on the similarity, the issue tracking system may determine a likelihood that a given issue is related to at least one additional issue. In response to a determination that likelihood exceeds a threshold, data can be extracted from the related issue to provide the user with a suggested supplemental issue request to be submitted to the issue tracking system.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: January 31, 2023
    Assignees: ATLASSIAN PTY LTD., ATLASSIAN US, INC.
    Inventors: Noam Bar-on, Sukho Chung
  • Patent number: 11567845
    Abstract: A vehicle includes a data communication network, a serial data bus, and a plurality of electronic nodes in signal communication with the serial data bus. The vehicle further includes a node identification system configured to store a several different diagnostic tests, along with expected operating data corresponding to a given diagnostic test. The node identification system sorts the plurality of nodes into individual node groups in response to performing one or more diagnostic tests among the different available diagnostic tests.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: January 31, 2023
    Assignee: RAYTHEON COMPANY
    Inventors: Erin K. Doan, Matthew R. Danielson, Addison M. Moran, Michael J. Worden
  • Patent number: 11566974
    Abstract: Methods, systems, and devices for analyzing vibration data to determine and mitigate an occurrence of an anomaly at an industrial asset. A device may obtain and preprocess vibration data, which may include grouping the vibration data according to respective time intervals, and the device may filter the grouped data to obtain the most recent measurement readings. The device may use an anomaly detection algorithm to detect outliers in the datasets for each group of vibration data and compare an amplitude of the outliers to a threshold for the respective group. The device may determine that the vibration data includes an anomaly based on quantities of outliers in first and second subsets of the vibration data that are within a detection window. The device may generate a report including an indication of the anomaly and transmit the report to an operator or engineer for the facility.
    Type: Grant
    Filed: October 15, 2021
    Date of Patent: January 31, 2023
    Assignee: Georgia-Pacific LLC
    Inventors: David Walter Hutcherson, II, Samuel Lee Coyne, Roshan Shah
  • Patent number: 11556843
    Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system collects information associated with trouble tickets each including a problem abstract and a log text. The method includes analyzing the log text to obtain a problem resolution for that ticket; defining ticket clusters according to the problem abstracts, and labeling the clusters. The processing system creates a library of the labeled clusters, each entry including a cluster label, a problem abstract for that cluster, and a resolution summary for that problem abstract, indicating a mapping of the problem abstract to the resolution summary for that cluster. The method includes training, based on the mapping, machine-learning applications for a predicted resolution summary for each cluster and for classifying a new ticket. The method includes assigning the new ticket to a cluster according to the classifying. Other embodiments are disclosed.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: January 17, 2023
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Elissa Backas, Yang Qu, Hassan Chughtai, Maryam Samim, Nelson Cuebas, Roque Rios, III, Craig Scantlin, Donghoon Shin, Heesook Choi
  • Patent number: 11527063
    Abstract: An image of an object is received into an augmented reality (AR) device. Information is received for identifying the object or a component associated with the object. A database is accessed to retrieve data relating to the object or the component associated with the object, and a heat map is created as a function of the data relating to the object or the component associated with the object. The heat map is displayed on a computer display device.
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: December 13, 2022
    Assignee: Raytheon Company
    Inventors: Kristen Stone, James S. Neil
  • Patent number: 11526388
    Abstract: Disclosed here is a system to automatically predict and reduce hardware related outages. The system can obtain a performance indicator associated with a wireless telecommunication network including a system performance indicator or an application log, along with a machine learning model trained to predict and resolve a hardware error based on the performance indicator. The machine learning model can detect an anomaly associated with the performance indicator by detecting an infrequent occurrence in the performance indicator. The machine learning model can determine whether the anomaly is similar to a prior anomaly indicating a prior hardware error. Upon determining that the anomaly is similar to the prior hardware error, the machine learning model can predict an occurrence of the hardware error.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: December 13, 2022
    Assignee: T-Mobile USA, Inc.
    Inventors: Karey Krupa Satya Prakash, Anand Samuel Injeti
  • Patent number: 11520810
    Abstract: The example embodiments are directed to a system and method that applies knowledge developed by a subject matter expert with respect to a physical asset. In one example, the method includes receiving knowledge and issue resolution information developed of subject matter experts in association with historical issues for an asset, generating a plurality of data clusters for the asset based on the knowledge, wherein each historical issue of the asset is mapped to a cluster and includes a plurality of resolutions for the issue, receiving a new issue and new issue information, and processing the new issue by extracting keywords from the new issue information and assigning the new issue to a data cluster from among the plurality of data clusters based on the extracted keywords, and outputting, to a display, a cause of the new issue and potential solutions for the new issue.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: December 6, 2022
    Assignee: General Electric Company
    Inventors: Arindam Baral, Nagendra Perugupalli, Manohar Swamynathan, Abhishek Narain
  • Patent number: 11522638
    Abstract: Upon receiving a corrupted message in 5G or 6G, a receiver generally rejects the message or ignores it entirely, because determining which message elements are faulted is difficult and complex. AI-based procedures are provided for localizing faults in specific message elements, and for determining the corrected values when possible. AI inputs may include the amplitude or phase modulation quality of each message element, the measured SNR of each message element, the modulation quality of a preceding demodulation reference, and current backgrounds, among other factors. After training (adjusting according to measured network data), the AI model may then determine the most likely faulted message elements, and may also direct the search for the most likely corrected values. By recovering the original corrected message without an unnecessary retransmission, the system can save time, reduce transmission energy, and avoid generating backgrounds. Many additional aspects are disclosed.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: December 6, 2022
    Assignee: ULTRALOGIC 6G, LLC
    Inventors: David E. Newman, R. Kemp Massengill
  • Patent number: 11513927
    Abstract: Techniques described herein relate to a method for performing testing operations for information handling systems.
    Type: Grant
    Filed: January 25, 2022
    Date of Patent: November 29, 2022
    Assignee: Dell Products L.P.
    Inventors: Ramakanth Kanagovi, Guhesh Swaminathan, Saheli Saha, Jason Fay, Araiz Baqi, Sankunny Jayaprasad
  • Patent number: 11513778
    Abstract: Some embodiments of the invention provide a method for defining code-based policies. The method generates a policy-builder first view of a policy for display in a graphical user interface (GUI) by processing a syntax tree that is generated from a code second view of the policy. The method receives, through the policy-builder first view, a modification to a portion of the policy. To reflect the modification, the method updates a portion of the syntax tree that corresponds to the portion of the policy that is affected by the modification. Based on the updating of the syntax tree, the method updates the code second view by modifying a portion of the code second view that corresponds to the updated portion of the syntax tree.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: November 29, 2022
    Assignee: STYRA, INC.
    Inventors: Mikol Graves, Peter J. Shepherd, Magnus Hei-Yu Ma, Timothy L. Hinrichs, Teemu Koponen
  • Patent number: 11507396
    Abstract: Techniques perform storage management. In accordance with such techniques, in response to determining that there is an abnormal process in a process group of an application, and a first size of storage space occupied by the abnormal process exceeds a first threshold, an abnormal process is terminated. A second size of storage space occupied by other processes than the abnormal process in the process group after the abnormal process is terminated is determined. In response to the second size exceeding a second threshold, at least one process in the process group to reduce the second size is terminated, where the at least one process is different from the abnormal process.
    Type: Grant
    Filed: April 10, 2020
    Date of Patent: November 22, 2022
    Assignee: EMC IP Holding Company LLC
    Inventors: Dazhi Dong, Binhua Lu, Shufang Meng, Xing Chen, Chen Zhang, Tongyin Xu
  • Patent number: 11501225
    Abstract: An automated method for determining a complexity of a task. The method includes extracting data from the plurality of historical support tickets to generate training data. The method trains a complexity model to predict a complexity value of a task associated with a support ticket using the training data. The method predicts, using the complexity model, the complexity value of a new task associated with a new support ticket.
    Type: Grant
    Filed: January 7, 2021
    Date of Patent: November 15, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yang Chen, Li Cao, Ya Ju Yan, Zhou Kun, Li Hong Qi, Xiao Juan Chen
  • Patent number: 11494247
    Abstract: A model generation apparatus (2000) acquires component failure data in which a usage status is associated with a failure record of a component. The model generation apparatus (2000) generates, for each of a plurality of component groups, a prediction model for predicting the number of failures of each component included in the component group by using the component failure data relating to the component belonging to the component group. The prediction model computes a prediction value of the total number of failures of the components belonging to a corresponding component group from the usage status, and computes a prediction value of the number of failures of each component belonging to the component group from the computed prediction value of the total number of failures.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: November 8, 2022
    Assignee: NEC CORPORATION
    Inventor: Ryota Higa