Reasoning Under Uncertainty (e.g., Fuzzy Logic) Patents (Class 706/52)
  • Patent number: 10783406
    Abstract: A method for detecting structural surface cracks based on image features, support vector machines and Bayesian data fusion, including: 1) acquisition of a video of a structural surface and establishment of an image library; 2) calculation of texture features of the image frames by local binary patterns; 3) scanning and grouping for image patches of cracks on the image frames using two-stage support vector machine; 4) Bayesian data fusion and decision. The video image detection acquires images of many areas where human beings are difficult to reach; computers are adopted to identify cracks on surfaces of the structural elements, which can greatly reduce the identification workload and labor cost, and increase the crack detection rate. The invention has a better adaptability to the light strength on the structural surface, thus providing better identification for cracks.
    Type: Grant
    Filed: April 26, 2020
    Date of Patent: September 22, 2020
    Assignee: Zhejiang University
    Inventors: Xiaowei Ye, Tao Jin, Pengyu Chen
  • Patent number: 10776374
    Abstract: A time series database system receives a trigger condition associated with time series data points corresponding to subsystems of the system. The system aggregates the time series data points associated with a first time into a first internal time series data point. The system aggregates the time series data points associated with a second time into a second internal time series data point if the first internal time series data point does not meet the trigger condition. The system calculates a projected internal time series data point based on the first internal time series data point and the second internal time series data point if the second internal time series data point does not meet the trigger condition. The system outputs a projected alert notification associated with the projected internal time series data point and the trigger condition if the projected internal time series data point meets the trigger condition.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: September 15, 2020
    Assignee: salesforce.com, inc.
    Inventors: Thomas Nicholas Valine, Bhinav Sura, Rajavardhan Sarkapally, Dilip Devaraj
  • Patent number: 10776318
    Abstract: A self-monitoring time series database system is described. A time series database system receives an alert trigger condition associated with multiple time series data points corresponding to multiple subsystems of the time series database system. The time series database system aggregates the multiple time series data points in an internal time series data point that is internal to the time series database system. The time series database system evaluates whether the internal time series data point meets the alert trigger condition. The time series database system outputs an alert notification associated with the internal time series data point and the alert trigger condition if the internal time series data point meets the alert trigger condition.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: September 15, 2020
    Assignee: salesforce.com, inc.
    Inventors: Thomas Nicholas Valine, Bhinav Sura, Rajavardhan Sarkapally, Dilip Devaraj
  • Patent number: 10776463
    Abstract: Embodiments herein disclose a method and system for authenticating users of an electronic device. In an example, data pertaining to a user of the electronic device is collected for authentication. The data is data indicative of an interaction behavior of the user with the electronic device. A deviation of the collected data from a behavior model of the user is checked. To generate the behavior model, data from multiple users is collected to create the behavior model corresponding to each of the users, each behavior model is indicative of data uncommon between the user corresponding to the behavior model and other users in the plurality of users to separate the user corresponding to the behavior model from other users in the multiple users. Further, an access control policy is enforced on the electronic device, based on the deviation of the collected data from the behavior model of the user.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: September 15, 2020
    Assignee: KRYPTOWIRE LLC
    Inventors: Angelos Stavrou, Rahul Murmuria, Ryan Johnson, Daniel Barbara
  • Patent number: 10769500
    Abstract: System and method for an active learning system including a sensor obtains data from a scene including a set of images having objects. A memory to store active learning data including an object detector trained for detecting objects in images. A processor in communication with the memory, is configured to detect a semantic class and a location of at least one object in an image selected from the set of images using the object detector to produce a detection metric as a combination of an uncertainty of the object detector about the semantic class of the object in the image (classification) and an uncertainty of the object detector about the location of the object in the image (localization). Using an output interface or a display type device, in communication with the processor, to display the image for human labeling when the detection metric is above a threshold.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: September 8, 2020
    Assignee: Mitsubishi Electric Research Laboratories, Inc.
    Inventors: Teng-Yok Lee, Chieh-Chi Kao, Pradeep Sen, Ming-Yu Liu
  • Patent number: 10769292
    Abstract: Computer implemented methods for access control for a restricted resource in a computer system and related methods train a hierarchical temporal memory and use cryptocurrency allocations and blockchain records to determine whether resource consumers are authorized or unauthorized to access the restricted resource.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: September 8, 2020
    Assignee: British Telecommunications Public Limited Company
    Inventors: Joshua Daniel, Xiaofeng Du, Gery Ducatel
  • Patent number: 10769157
    Abstract: This disclosure relates generally to data processing, and more particularly to a system and a method for mapping heterogeneous data sources. For a product being sold globally, there might be one global database listing characteristics of the product, and from various System and method for mapping attributes of entities are disclosed. In an embodiment, the system uses a combination of Supervised Bayesian Model (SBM) and an Unsupervised Textual Similarity (UTS) model for data analysis. A weighted ensemble of the SBM and the UTS is used, wherein the ensemble is weighted based on a confidence measure. The system, by performing data processing, identifies data match between different data sources (a local databases and a corresponding global database) being compared, and based on matching data found, performs mapping between the local databases and the global database.
    Type: Grant
    Filed: March 13, 2018
    Date of Patent: September 8, 2020
    Assignee: Tata Consultancy Services Limited
    Inventors: Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
  • Patent number: 10762428
    Abstract: A system, method and program product for providing cascade prediction. A system is disclosed having: a computing system for receiving observed cascade data, wherein the observed cascade data includes a set of nodes impacted prior to a preliminary time; a sub-cascade processing engine that determines a sub-cascade size of each node in the set of nodes; survival analysis system that utilizes a networked Weibull regression to determine a survival rate of each node in the set of nodes; and a calculation system that applies the survival rate to the sub-cascade size of each node in the set of nodes to generate a predicted cascade size at a future time.
    Type: Grant
    Filed: December 11, 2015
    Date of Patent: September 1, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kun Bai, Wei Tan, Fei Wang
  • Patent number: 10750242
    Abstract: Systems and methods are disclosed for enabling Internet users to schedule recordings of electronic programming content. One method includes displaying on a web page, over the Internet, a user interface element associated with an advertisement for electronic programming content; wherein selection of the user interface element, by a user of a web browsing device, initiates a recording device of the user, separate from the web browsing device, to schedule a recording of the electronic programming content. Another method for enabling Internet users to request television content includes displaying on a web page, over the Internet, a user interface element associated with an advertisement for television content; wherein a user's selection of the user interface element initiates a request for the advertised television content from a carrier that provides television service to the user.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: August 18, 2020
    Assignee: Verizon Media Inc.
    Inventors: Seth Mitchell Demsey, Susan Lynn Song
  • Patent number: 10742756
    Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.
    Type: Grant
    Filed: July 21, 2017
    Date of Patent: August 11, 2020
    Assignee: Facebook, Inc.
    Inventors: James Wah Hou Wong, Ashish Kumar Yadav, Jinyi Yao, Bradley Ray Green
  • Patent number: 10733528
    Abstract: Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal, where the noise signal includes a plurality of sparse features from the set of time series data and the dense signal includes a plurality of dense features from the set of time series data. A set of one or more sparse features from the noise signal is selected for retention. After selecting the sparse features, a modified set of time series data is generated by combining the set of one or more sparse features with a set of one or more dense features from the plurality of dense features. At least one seasonal pattern is identified from the modified set of time series data. A summary for the seasonal pattern may then be generated and stored.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: August 4, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10733213
    Abstract: Systems and methods are disclosed for structuring unstructured machine-generated content. In one implementation, unstructured content is received and processed to identify a first content segment. Parameter(s) within the first content segment are identified and classified. A content segment skeleton that reflects an arrangement of the first content segment is generated. Based on the classifying of the parameter(s), the parameter(s) are extracted s from the first content segment into a structured content element in a structured content format, with the structured content element including a representation of the content segment skeleton. Based on the structured format, a query adapter is generated. Queries are executed via the query adapter and the structured format.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: August 4, 2020
    Assignee: Iguazio Systems Ltd.
    Inventors: Ori Modai, Orit Nissan-Messing, Yaron Haviv
  • Patent number: 10733320
    Abstract: A hardware database privacy device is communicatively coupled to a private database system. The hardware database privacy device receives a request from a client device to perform a query of the private database system and identifies a level of differential privacy corresponding to the request. The identified level of differential privacy includes privacy parameters (?,?) indicating the degree of information released about the private database system. The hardware database privacy device identifies a set of operations to be performed on the set of data that corresponds to the requested query. After the set of data is accessed, the set of operations is modified based on the identified level of differential privacy such that a performance of the modified set of operations produces a result set that is (?,?)-differentially private.
    Type: Grant
    Filed: January 2, 2019
    Date of Patent: August 4, 2020
    Assignee: LeapYear Technologies, Inc.
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Liam Damewood, Mihai Maruseac, Alexander Rozenshteyn
  • Patent number: 10733263
    Abstract: Quantum computing is a computational paradigm for solving (exactly or approximately) difficult combinatorial optimization problems. One degree of freedom that is available is the so-called annealing schedule, which defines how the quantum computation evolves from the start of the computation to the end of the computation. This schedule is defined by anneal offsets, which can be different for each quantum bit (qubit) in the quantum computer. The choice of annealing schedule can have a dramatic impact on the performance of the computer. In this disclosure we provide a method for selecting and/or modifying the annealing schedule based on the problem to be solved.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: August 4, 2020
    Assignee: QC Ware Corp.
    Inventors: Juan Ignacio Adame, Peter McMahon
  • Patent number: 10726153
    Abstract: A request from a client is received to generate a differentially private random forest classifier trained using a set of restricted data. The differentially private random forest classifier is generated in response to the request. Generating the differentially private random forest classifier includes determining a number of decision trees and generating the determined number of decision trees. Generating a decision tree includes generating a set of splits based on the restricted data, determining an information gain for each split, selecting a split from the set using an exponential mechanism, and adding the split to the decision tree. The differentially private random forest classifier is provided to the client.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: July 28, 2020
    Assignee: LeapYear Technologies, Inc.
    Inventors: Ishaan Nerurkar, Christopher Hockenbrocht, Liam Damewood, Mihai Maruseac, Alexander Rozenshteyn
  • Patent number: 10721148
    Abstract: A system and method for identifying botnets. The method includes determining a network event proximity based on collected network data, where the network data relates to at least one network device; determining time density of the network data; determining trend patterns of the network data; and determining, based on the network event proximity, time density, and trend patterns, when a botnet activity is present within the network data.
    Type: Grant
    Filed: October 15, 2018
    Date of Patent: July 21, 2020
    Assignee: RADWARE, LTD.
    Inventors: Zeev Ravid, Mor Krispil
  • Patent number: 10713236
    Abstract: According to an aspect of some embodiments of the present invention there is provided a computer implemented method for detecting at least one anomaly in a dataset, comprising: managing a dataset including a plurality of data entities each including at least one value; receiving a semantic model that defines associations between two or more data entities; forming a plurality of multi dimensional data instances, each multi dimensional data instance formed from at least one of a permutation and a combination of a set of data entities from the plurality of data entities according to the semantic model; analyzing the multi dimensional data instances to detect at least one anomalous value, the anomalous value representing a statistically significant deviation according to a deviation requirement, of one or more values from a set of values of the multi dimensional data instances; and providing the detected at least one anomalous value.
    Type: Grant
    Filed: June 15, 2017
    Date of Patent: July 14, 2020
    Assignee: Panorama Software Inc.
    Inventor: Yaacov Avner Averbuch
  • Patent number: 10715869
    Abstract: Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: July 14, 2020
    Assignee: Rovi Guides, Inc.
    Inventor: Kyle Miller
  • Patent number: 10706429
    Abstract: A method and system for identifying users for advertising. Users and attributes are identified. First web sites provided by ISPs accessed by the users are identified. First data received from the ISPs include content of the first web sites and user time spent thereon. The first data is analyzed to determine first attribute values indicative of interest in each attribute by each user. Second data received from ISPs include content of second web sites and user time spent thereon. Second attribute values are derived from questionnaires completed by the users, which indicate interest in each attribute by each user. Third attribute values are determined by combining the first attribute values with the second attribute values for each user. The third attribute values are processed to identify users to which a product or service may be advertised. The identified users are communicated to a provider of the product or service.
    Type: Grant
    Filed: May 31, 2007
    Date of Patent: July 7, 2020
    Assignee: International Business Machines Corporation
    Inventor: Hulikunta Prahlad Raghunandan
  • Patent number: 10708154
    Abstract: Example implementations may relate to an occupancy sensing system. For example, the occupancy sensing system may collect connection data and traffic data related to electronic devices that connect to the networking device. The occupancy sensing system may determine a number of resident devices and a number of high-traffic devices, based on the connection data or the traffic data. The occupancy sensing system may determine a number of the electronic devices that are coactive within an analysis time window, and may constrain the number of coactive electronic devices to a range from the number of high-traffic devices to the number of resident devices to generate an occupancy value.
    Type: Grant
    Filed: August 27, 2015
    Date of Patent: July 7, 2020
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Ioannis Pefkianakis, Abhinav Parate, Shruti Sanadhya
  • Patent number: 10705512
    Abstract: The objective of the invention is the computer-assisted selection of the optimal machine component for a use. In the selection, empirical values are collected to create a continuously improving system. To achieve this, the inventive method includes determining properties of the machine component and their corresponding influence quantities, possible uses for the machine component, and the influence quantities to be considered in the use-specific selection and design of the machine component. The method also includes receiving statements relating to the influence quantities and determining, influence quantity interactions. The method further includes formulating the influence quantities, feeding the use and associated influence quantities as inputs into a selection algorithm to select the machine component that is optimally suitable for the use, and supplying the selected machine component.
    Type: Grant
    Filed: May 6, 2016
    Date of Patent: July 7, 2020
    Assignee: Walther Flender GmbH
    Inventors: Andreas Scholzen, Simon-Martin Schmidt
  • Patent number: 10701458
    Abstract: Methods and apparatus to calculate granular data of a region based on another region for media audience measurement are disclosed. An example method for calculating, via a processor, granular data of a region includes determining aggregate behavioral data associated with a media audience measurement of a target region. The example method includes determining, via the processor, aggregate demographics data of the target region. The example method includes determining, via the processor, granular data of a source region. The example method includes calculating, via the processor, granular data of the target region to measure a media audience of the target region by apportioning the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: June 30, 2020
    Assignee: The Nielsen Company (US), LLC
    Inventors: Jonathan Sullivan, Michael Sheppard, Peter Lipa
  • Patent number: 10699215
    Abstract: Mechanisms are provided to implement a self-training engine of a question and answer system. The self-training engine pairs an unanswered natural language question with portions of an electronic document to generate an unlabeled data set. The self-training engine trains a model based on a labeled data set comprising a finite number of question and answer pair data structures and applies the model to the unlabeled data set to identify an answer from the portions of the electronic document to the unanswered natural language question. The self-training engine modifies the labeled data set to include the identified answer and corresponding unanswered natural language question as an additional question and answer pair data structure. The self-training engine then trains the model based on the modified labeled data set.
    Type: Grant
    Filed: November 16, 2016
    Date of Patent: June 30, 2020
    Assignee: International Business Machines Corporation
    Inventors: Murthy V. Devarakonda, Siddharth A. Patwardhan, Preethi Raghavan
  • Patent number: 10693711
    Abstract: Systems and methods are provided for managing information networks. A delta causality matrix is generated based on newly discovered topology changes in an information network. The delta causality matrix specifies changes in problem-symptom relationships of a causality matrix associated with constituent objects in a previous topology of the information network. The delta causality matrix is utilized to modify at least one context which comprises a first set of related symptoms and problems associated with the constituent objects in the previous topology of the information network. The modified context includes a second set of related symptoms and problems associated with constituent objects of the modified topology of the information network. An event correlation operation is performed utilizing the modified context and active symptoms detected in the information network, to determine at least one problem which has a symptom signature that corresponds to the set of current symptoms.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: June 23, 2020
    Assignee: EMC IP Holding Company LLC
    Inventors: Aman Garg, Ashwin Daswani, Mayank D. Desai
  • Patent number: 10686825
    Abstract: A multiple presentation fidelity-level based quantitative cyber risk decision support system. The system comprises a processor, a memory, a data store comprising cyber threat event log entries, and a cyber threat analysis application stored in the memory that, when executed by the processor, analyzes the log entries, executes cyber threat materialization probability update rules on risk elements based on analyzing the log entries, builds a first presentation of an amplitude of cyber risk using a first presentation method, presents the first presentation on a workstation associated with a first level of user, builds a second presentation comprising an ordered list of actions to perform to mitigate cyber risk using a second presentation method, and presents the second presentation on a workstation associated with a second level of user.
    Type: Grant
    Filed: September 5, 2018
    Date of Patent: June 16, 2020
    Inventor: Frederick Doyle
  • Patent number: 10685186
    Abstract: The present disclosure provides a semantic understanding based emoji input method and device, and relates to the input method technology field. The method includes: obtaining a text content according to an input sequence; performing word segmentation on the text content, and extracting text features based on the word segmentation result; constructing an input vector using the text features, performing classification using an emotion classification model to determine an emotion label of the text content; based on a correspondence relationship between the emotion label and emojis of various themes, respectively obtaining an emoji corresponding to the emotion label from each of the various themes; sorting the obtained emojis of the various themes, and displaying the sorted emojis as candidate options in a client. The disclosed invention facilitates users to input an emoji, enhances emoji input efficiency, and provides users with rich and wide scope of emoji resources.
    Type: Grant
    Filed: June 5, 2015
    Date of Patent: June 16, 2020
    Assignee: BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Siyu Gu, Huasheng Liu, Kuo Zhang
  • Patent number: 10673272
    Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: June 2, 2020
    Assignee: SAW CAPITAL PARTNERS LLC
    Inventor: Nana Wilberforce
  • Patent number: 10672122
    Abstract: A system and a computer-implemented method are provided for segmenting an object in a medical image using a graphical segmentation interface. The graphical segmentation interface may comprise a set of segmentation tools for enabling a user to obtain a first segmentation of the object in the image. This first segmentation may be represented by segmentation data. Interaction data may be obtained which is indicative of a set of user interactions of the user with the graphical segmentation interface by which the first segmentation of the object was obtained. The system may comprise a processor configured for analyzing the segmentation data and the interaction data to determine an optimized set of user interactions which, when carried out by the user, obtains a second segmentation similar to the first segmentation, yet in a quicker and more convenient manner. A video may be generated for training the user by indicating the optimized set of user interactions to the user.
    Type: Grant
    Filed: November 1, 2016
    Date of Patent: June 2, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Daniel Bystrov, Dominik Benjamin Kutra
  • Patent number: 10671511
    Abstract: Disclosed is a system for removing bugs present in a software code. A determination module determines a usage pattern of a software code by using an Artificial Neural Network (ANN) technique. A comparison module compares the usage pattern with a set of pre-stored usage patterns of software applications similar to the software code. An execution module executes a set of test suites, on the software code, associated to at least one software application of the software applications, when a usage pattern of the at least one software application is matched with the usage pattern of the software code. An identification module identifies a code snippet comprising the bug. A recommendation module recommends a code patch, corresponding to the code snippet, from a ranked list of code patches determined by a Deep RNN technique. Further, a replacement module replaces the code snippet with the code patch thereby removing the bug.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: June 2, 2020
    Assignee: HCL Technologies Limited
    Inventors: Navin Sabharwal, Amit Agrawal
  • Patent number: 10664381
    Abstract: Systems and methods for generating synthetic data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a dataset that includes time series data having a plurality of dimensions and generating a transformed dataset by performing a first data transformation. The first data transformation may include a time-based data processing method. The operations may include generating a synthetic transformed-dataset by implementing a data model using the transformed dataset. The data model may be configured to generate synthetic transformed-data based on a relationship between data of at least two dimensions of the transformed dataset. The operations may include generating a synthetic dataset by performing a second data transformation on the synthetic transformed-dataset. The second data transformation may include an inverse of the first data transformation.
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: May 26, 2020
    Assignee: Capital One Services, LLC
    Inventors: Austin Walters, Jeremy Goodsitt, Mark Watson, Anh Truong, Vincent Pham
  • Patent number: 10659338
    Abstract: In one embodiment, an agent process produces synthetic packet traffic and iteratively performs a sub-process that determines isolated network segments of the communication channel between intermediate nodes and computes a set of network metrics for the isolated network segments based at least in part on incrementing TTL expiry error data points. The sub-process also encapsulates, for inclusion within the next packet to be sent, a list of intermediate node IDs along the communication channel up to a latest received node ID and computed sets of network metrics for respective network segments. The agent process may then generate, upon termination of the sub-process, a report, the report including the list of intermediate node IDs along the communication channel up to a latest received node ID and computed sets of network metrics for respective network segments.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: May 19, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Harish Nataraj, Ajay Chandel, Naveen Kondapalli, Prakash Kaligotla
  • Patent number: 10657494
    Abstract: Novel distractorless authorship verification technology optionally combines with novel algorithms to solve authorship attribution as to an open set of candidates—such as without limitation by analyzing the voting of “mixture of experts” and outputting the result to a user using the following: if z (z=pi?pj?pi+pj?(pi?pj)2/n) is larger than a first predetermined threshold then author j cannot be the correct author; or if z (z=pi?pj?pi+pj?(pi?pj)2/n) is smaller than a second predetermined threshold then author i cannot be the correct author; or if no author garners significantly more votes than all other contenders then none of the named authors is the author of a document in question—in a number of novel applications. Personality profiling and authorship attribution may also be used to verify user identity to a computer.
    Type: Grant
    Filed: May 4, 2012
    Date of Patent: May 19, 2020
    Assignee: Duquesne University of the Holy Spirit
    Inventors: Patrick Juola, James Orlo Overly, John Isaac Noecker, Jr., Michael Ryan, Christine Gray
  • Patent number: 10657377
    Abstract: Aspects of the subject disclosure may include, for example, receiving a plurality of media items, each including an object having a plurality of variables, performing adaptive analysis and transfer analysis on the media items, generating a model based on both the adaptive analysis and the transfer analysis and recognizing, using the model, the object in media content. The model may also provide a description of at least one of the variables of the object in the media content, and/or how that variable relates to the object. The variables may be known in the media items and unknown in the media content. The adaptive analysis and/or the transfer analysis may be performed iteratively and/or simultaneously. The variables may include an intensity of the object, a viewpoint from which the object is observed, an illumination of the object, a blur of the object, and/or other variables. Other embodiments are disclosed.
    Type: Grant
    Filed: June 12, 2018
    Date of Patent: May 19, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventor: Raghuraman Gopalan
  • Patent number: 10657453
    Abstract: Predicting a malfunction of a component of a unit includes providing a transition matrix of a parameter of the component, wherein the transition matrix includes for a number of discrete value states of the parameter probabilities to switch from one discrete value state to another within a certain time period; providing the conditional probability distribution for the malfunction given the discrete value states; providing a current discrete value state of the parameter; determining a conditional probability distribution of the discrete value states given the current discrete value state for a future point in time based on the current discrete value state and on the transition matrix by use of a Markov chain; and determining a probability for the malfunction for the future point in time based on the conditional probability distribution of the discrete value states for the future point in time and the conditional probability distribution for the malfunction.
    Type: Grant
    Filed: August 3, 2015
    Date of Patent: May 19, 2020
    Assignee: CASSANTEC AG
    Inventor: Frank Kirschnick
  • Patent number: 10652119
    Abstract: Various embodiments of the present technology generally relate to systems and methods for self-healing services and automatic recovery of distribute systems. Some embodiments of the present technology leverage all the available synthetic, customer, client, server, support signals from various sources to intelligently and in real-time detect outages, root cause outages to recoverable targets (e.g., for auto recovery actions), identify the right engineering teams (e.g., for faster manual mitigation), and perform the appropriate recovery action (such as recycle service, reboot server, switch out a faulty rack) or other mitigation actions such as routing, collecting debug information, alerting to the right team, or alert suppression. Some embodiments separate signal monitoring and workflow coordination.
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: May 12, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Lei He, Wilson Man-Hong Li, Tiancong Zhou, Swati Singh
  • Patent number: 10649982
    Abstract: Systems and methods for retrieval of information from read-only databases that hold taxonomic-related and sequence-related data. A method may include receiving organism names from a taxonomy database and detecting new organism names. The method may also include retrieving hierarchical data and assigning the new organism names to buckets based on the hierarchical data. The method may further include receiving sequence data elements from a nucleotide database, identifying particular buckets to correspond to a screener data set, querying organism names assigned to the particular buckets with names of reference sequences of the sequence data elements, generating a mapping between the sequence data elements and organism names returned as a result of the queries, and storing the mapping.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: May 12, 2020
    Assignee: FRY LABORATORIES, LLC
    Inventors: Stephen Fry, Jeremy Ellis, Matthew Shabilla
  • Patent number: 10643120
    Abstract: A system, method and computer program product for disambiguating one or more entity mentions in one or more documents. The method facilitates the simultaneous linking entity mentions in a document based on convolution neural networks and recurrent neural networks that model both the local and global features for entity linking. The framework uses the capacity of convolution neural networks to induce the underlying representations for local contexts and the advantage of recurrent neural networks to adaptively compress variable length sequences of predictions for global constraints. The RNN functions to accumulate information about the previous entity mentions and/or target entities, and provide them as the global constraints for the linking process of a current entity mention.
    Type: Grant
    Filed: November 15, 2016
    Date of Patent: May 5, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nicolas R. Fauceglia, Alfio M. Gliozzo, Oktie Hassanzadeh, Thien H. Nguyen, Mariano Rodriguez Muro, Mohammad Sadoghi Hamedani
  • Patent number: 10637286
    Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: April 28, 2020
    Assignee: SAW CAPITAL PARTNERS LLC
    Inventor: Nana Wilberforce
  • Patent number: 10632985
    Abstract: The present disclosure provides a hybrid vehicle and a method of predicting a driving pattern in the same. The method includes: acquiring current vehicle driving information, determining an upcoming event and a driving style based on the current vehicle driving information, and generating an acceleration/deceleration prediction value based on a prediction model corresponding to the upcoming event and the driving style selected from a plurality of pre-learned prediction models.
    Type: Grant
    Filed: September 22, 2017
    Date of Patent: April 28, 2020
    Assignees: Hyundai Motor Company, KIA Motors Corporation
    Inventors: Kyu Hwan Jo, Joon Young Park
  • Patent number: 10635943
    Abstract: Methods and systems are provided for reducing noise in medical images with deep neural networks. In one embodiment, a method for training a neural network comprises transforming each of a plurality of initial image data sets not acquired by a medical imaging modality into a target image data set, wherein each target image data set is in a format specific to the medical imaging modality, corrupting each target image data set to generate a corrupted image data set, and training the neural network to map each corrupted image data set to the corresponding target image data set. In this way, the high-resolution of digital non-medical photographs or images can be leveraged for the enhancement or correction of medical images, and the trained neural network can be used to reduce noise and image artifacts in medical images acquired by the medical imaging modality.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: April 28, 2020
    Assignee: General Electric Company
    Inventors: Robert Marc Lebel, Dawei Gui, Graeme Colin McKinnon
  • Patent number: 10628471
    Abstract: Methods and apparatuses are described for analyzing unstructured computer text for domain-specific stopword identification and removal. A computer data store stores unstructured text. A server computing device splits the unstructured text into phrases and generates tokens from the phrases. The server computing device generates a set of bootstrap keywords using the tokens. An artificial intelligence neural network executing on the server computing device generates a stopword training model. The server computing device generates a first set of candidate stopwords using the bootstrap keywords and the stopword training model. The server computing device generates regular expressions using the bootstrap keywords, and generates a second set of candidate stopwords using the regular expressions. The server computing device stores the candidate stopwords in the data store, and removes stopwords from the unstructured text using the data store.
    Type: Grant
    Filed: February 7, 2017
    Date of Patent: April 21, 2020
    Assignee: FMR LLC
    Inventor: Aravind Chandramouli
  • Patent number: 10630726
    Abstract: Apparatus and methods are provided for graphically defining a real-world cybersecurity protocol of an entity. The graphical platform includes searchable, manipulatable, graphs mapping cybersecurity threats. Manipulating nodes and relationships within the graphs translates into real-time modification of a cybersecurity protocol in effect for the entity. An ability to map known cybersecurity threats and analyze them (even according to known frameworks) may streamline and integrate efforts of cybersecurity defense teams. Graphical representation of a security protocol facilitates proactive threat hunting as well as expediting incident response activities by providing evidence-based pathways to inform impact analysis and source event analysis.
    Type: Grant
    Filed: November 18, 2018
    Date of Patent: April 21, 2020
    Assignee: Bank of America Corporation
    Inventors: Heather Linn, Michael Ogrinz
  • Patent number: 10621507
    Abstract: This disclosure relates to system and method for generating an optimized result set based on vector based relative importance measure (VRIM). In one embodiment, the method comprises determining a vector representation for each of a plurality of input keywords extracted from an input query, and determining a plurality of representative keywords corresponding to the plurality of input keywords from a keyword database based on the vector representation for each of the plurality of input keywords and a vector representation for each of a plurality of keywords in the keyword database. The method further comprises determining a score for a plurality of response candidates corresponding to the input query based on a relative importance score and a similarity score for each of the plurality of representative keywords present in the plurality of response candidates, and generating a result set from the plurality of response candidates based on the score.
    Type: Grant
    Filed: March 23, 2016
    Date of Patent: April 14, 2020
    Assignee: Wipro Limited
    Inventors: Arthi Venkataraman, Samson Saju, Tamilselvan Subramanian
  • Patent number: 10621219
    Abstract: A technique for calculating a semantic distance between subjects includes performing a mathematical operation between each of one or more first topic vectors and each of one or more second topic vectors to generate respective strength values. The first topic vectors are associated with respective first topics of a first subject, the second topic vectors are associated with respective second topics of a second subject, and the respective strength values are indicative of a relative closeness between associated ones of the first and second topics. Relevant ones of the respective strength values are summed to provide an overall strength value between the first subject and the second subject. A semantic distance between the first subject and the second subject is determined based on the overall strength value.
    Type: Grant
    Filed: February 10, 2017
    Date of Patent: April 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jennifer Ann English, Malous Melissa Kossarian, Charles E. McManis, Jr., Douglas A. Smith
  • Patent number: 10614150
    Abstract: A multiplication device for performing a matrix-vector-multiplication may be provided. The multiplication device comprises a memristive crossbar array comprising a plurality of memristive devices. The device comprises a decomposition unit adapted for decomposing a matrix into a partial sum of multiple sub-matrices, and decomposing a vector into a sum of multiple sub-vectors, a programming unit adapted for programming the plurality of the memristive devices with values representing elements of the sub-matrices such that each one of the memristive devices corresponds to one of the elements of the sub-matrices, an applying unit adapted for applying elements of one of the multiple sub-vectors as input values to the memristive crossbar array to input lines of the memristive crossbar array resulting in partial results at output lines of the memristive crossbar array, and a summing unit adapted for scaling and summing the partial results building the product of the matrix and the vector.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: April 7, 2020
    Assignee: International Business Machines Corporation
    Inventors: Konstantinos Bekas, Alessandro Curioni, Evangelos Stavros Eleftheriou, Manuel Le Gallo-Bourdeau, Adelmo Cristiano Innocenza Malossi, Abu Sebastian
  • Patent number: 10614373
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.
    Type: Grant
    Filed: December 19, 2014
    Date of Patent: April 7, 2020
    Assignee: GROUPON, INC.
    Inventors: Shawn Ryan Jeffery, David Alan Johnston, Jonathan Esterhazy, Gaston L'Huillier, Hernan Enrique Arroyo Garcia
  • Patent number: 10614364
    Abstract: An expected value of a measurement in a first context may be inferred based at least partly on a contextual signal. The contextual signal may comprise an actual value that is: (i) of a same type as the expected value, and (ii) associated with a second context that is different from the first context (e.g., the contexts can comprise geographical areas), or the contextual signal may comprise an actual value that is: (i) of a different type than a type of the expected value, and (ii) associated with the first context, or a second context that is different from the first context. If a difference between the expected value and an actual value of the first context is greater than a threshold difference, this condition is considered an anomaly. A detected anomaly may be used to determine an event that may be significant or otherwise of interest to a user community.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: April 7, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: John Charles Krumm, Eric Joel Horvitz, Jessica Kristan Wolk
  • Patent number: 10606729
    Abstract: The present invention may include an embodiment identifies the plurality of source code. The embodiment may extract one or more characteristics from a plurality of lines of the plurality of source code. The embodiment may analyze the one or more extracted characteristics for an inclusion relation and a congruent relation. The embodiment may generate a plurality of node relations of a plurality of nodes based on the inclusion relation and the congruent relation, where each node within the plurality of nodes corresponds to each line of the plurality of source code. The embodiment may determine a sum of the one or more nodes from the plurality of nodes that have no inclusion relation based on the analyzed inclusion relation and the analyzed congruent relation and the embodiment may display the sum of the determined one or more nodes.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: March 31, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nobuhiro Hosokawa, Kohichi Ono
  • Patent number: 10607243
    Abstract: User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.
    Type: Grant
    Filed: July 25, 2017
    Date of Patent: March 31, 2020
    Assignee: Ricoh Company, Ltd.
    Inventors: Guanglei Zhang, Jichuan Zheng, Bin Dong, Yixuan Tong
  • Patent number: 10608896
    Abstract: An approach is provided in which an information handling system deploys a container into a container group. The container includes service level information corresponding to a service level. A process executing within the container group analyzes the service level information against status data corresponding to the container group and performs a service-related action to enforce the service level within the container group based on the analysis.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: March 31, 2020
    Assignee: International Business Machines Corporation
    Inventors: Lisa Seacat DeLuca, Nitin Gaur, Dana L. Price, Aaron J. Quirk