Reasoning Under Uncertainty (e.g., Fuzzy Logic) Patents (Class 706/52)
  • Patent number: 11126478
    Abstract: Methods and systems for processing events are disclosed. According to one embodiment, input source data that includes event data of one or more events is received. One or more event definitions that match the event data are selected. For each matching event definition, the event definition is inputted into a template to generate a set of events. The template includes a number of assertions and has the event definition as one of the assertions, where each assertion includes a constraint. The constraints of the assertions are progressively processed to produce one or more solutions that are subsets of the set of events. For each constraint and each solution, a set of target events that is viable for the solution is identified, and a new solution is produced based on the solution and the identified set of target events, whereby a set of new solutions is produced.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: September 21, 2021
    Assignee: Cogility Software Corporation
    Inventor: Michael Allen Latta
  • Patent number: 11119132
    Abstract: This disclosure relates generally to method and system for low sampling rate electrical load disaggregation. At low sampling rates, disaggregation of energy load is challenging due to unavailability of events and signatures of the constituent loads. The disclosed energy disaggregation technique receives aggregated load data from a utility meter and sequentially obtains training data for determining disaggregated energy load at low sampling rate. Dictionaries are used to characterize the different loads in terms of power values and time of operation. The obtained dictionary coefficients are treated as graph signals and graph smoothness is used for propagating the coefficients from the training phase to the test phase by formulating an optimization model. The derivation of the optimization model identifies the load of interest and estimate their power consumption based on optimization model constraints. This method achieves accuracy greater than 70% for the loads of interest at low sampling rates.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: September 14, 2021
    Assignee: Tata Consultancy Services Limited
    Inventors: Kriti Kumar, Mariswamy Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala
  • Patent number: 11115338
    Abstract: A method of and system for converting domain names to a vector space embedding may include receiving data relating to internet traffic over a network, organizing the data into one or more documents that make up a training dataset, each of the one or more documents including one or more Domain Name Server (DNS) queries, providing the training dataset to a deep neural network to generate at least one vector space embedding for one or more domain names, and providing the vector space embedding as an output.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: September 7, 2021
    Assignee: Hughes Network Systems, LLC
    Inventor: Amit Arora
  • Patent number: 11113562
    Abstract: The first apparatus (2100) computes an determination accuracy representing a probability that it is correct to use, as a determination result, the first result. The first apparatus (2100) outputs the first result as the determination result in a case where the determination accuracy is greater than a first threshold value, and outputs a second result as the determination result in a case where the determination accuracy is smaller than a second threshold value. In a case where the determination accuracy is equal to or greater than the second threshold value and is equal to or smaller than the first threshold value, the first apparatus (2100) requests the second apparatus (2200) to perform the predefined determination on the determination target. The first apparatus (2100) updates at least one of the first threshold value and the second threshold value based on the determination result output by the second apparatus (2200).
    Type: Grant
    Filed: October 2, 2018
    Date of Patent: September 7, 2021
    Assignee: NEC Solution Innovators, Ltd.
    Inventors: Hideo Iiduka, Takashi Hayakawa, Kiyoshi Ikeura
  • Patent number: 11106802
    Abstract: Techniques for data sharing between a data miner and a data provider are provided. A set of public parameters is downloaded from the data miner. The public parameters are data miner parameters associated with a feature set of training sample data. A set of private parameters in the data provider can be replaced with the set of public parameters. The private parameters are data provider parameters associated with the feature set of training sample data. The private parameters are updated to provide a set of update results. The private parameters are updated based on a model parameter update algorithm associated with the data provider. The update results is uploaded to the data miner.
    Type: Grant
    Filed: August 2, 2018
    Date of Patent: August 31, 2021
    Assignee: Advanced New Technologies Co., Ltd.
    Inventors: Peilin Zhao, Jun Zhou, Xiaolong Li, Longfei Li
  • Patent number: 11100788
    Abstract: An alarm management system includes a plurality of data sources configured to provide data relating to an event at a building and a processing circuit. The processing circuit is configured to receive the data from the data sources, apply a Bayesian network model to the data to generate a probability score for each of a plurality of possible causes of the event, identify the most probable cause of the event as a first cause of the plurality of possible causes having a highest probability score, execute an action with respect to the identified most probable cause of the event.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: August 24, 2021
    Assignee: Johnson Controls Tyco IP Holdings LLP
    Inventors: Donagh S. Horgan, Eamonn O'Toole
  • Patent number: 11099533
    Abstract: Methods and systems are described for controlling parameters in a building. According to at least one embodiment, a method for controlling a building system includes using at least one sensor to detect occupancy in a building over time, determining a predictive schedule based on the occupancy detected with the at least one sensor, and associate real time events that occur simultaneously with an occupancy state of the predictive schedule.
    Type: Grant
    Filed: May 7, 2014
    Date of Patent: August 24, 2021
    Assignee: Vivint, Inc.
    Inventors: Jeremy B. Warren, Brandon Bunker, Jefferson Lyman, Jungtaik Hwang
  • Patent number: 11100252
    Abstract: Systems, methods and apparatuses are disclosed to efficiently and accurately scan a plurality of documents located in any number of unstructured data sources. Preprocessed metadata is generated for each document and metadata features are determined based on the preprocessed metadata. A trained machine learning system may utilize the metadata features to predict whether each of the documents contains personal information, without requiring any information relating to the content of such documents.
    Type: Grant
    Filed: February 17, 2021
    Date of Patent: August 24, 2021
    Assignee: BigID Inc.
    Inventors: Yehoshua Enuka, Nimrod Vax, Eyal Sacharov
  • Patent number: 11093816
    Abstract: The technology disclosed determines which field values in a set of unique field values for a particular field in a fielded dataset are anomalous using six similarity measures. A factor vector is generated per similarity measure and combined to form an input matrix. A convolutional neural network processes the input matrix to generate evaluation vectors. A fully-connected network evaluates the evaluation vectors to generate an anomaly scalar for a particular unique field value. Thresholding is applied to anomaly scalar to determine whether the particular unique field value is anomalous.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: August 17, 2021
    Assignee: salesforce.com, inc.
    Inventors: Chang Lu, Lingtao Zhang
  • Patent number: 11093857
    Abstract: A method and apparatus for generating information. A specific embodiment of the method includes: acquiring a set of geographic information point sequences and a set of identifiers comprising an identifier of each geographic information point sequence in the set of the geographic information point sequences; for the each geographic information point sequence in the set of the geographic information point sequences, clustering geographic information points in the each geographic information point sequence and generating an element sequence corresponding to the each geographic information point sequence; learning, by utilizing a machine learning method based on the set of identifiers and the generated element sequences, to obtain a matrix for the identifiers in the set of identifiers; and generating, for each identifier in the set of identifiers, based on the identifier and the matrix, information of a user to which the geographic information point sequence indicated by the identifier belongs.
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: August 17, 2021
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventors: Jingbo Zhou, Mengwen Xu, Yuan Xia, Haishan Wu
  • Patent number: 11087211
    Abstract: The technology disclosed determines one or more field values in a set of field values for a particular field in a fielded dataset that are similar to an input value using six similarity measures. A factor vector is generated per similarity measure and combined to form an input matrix. A convolutional neural network processes the input matrix to generate evaluation vectors. A fully-connected network evaluates the evaluation vectors to generate suggestion scalars for similarity to a particular input value. Thresholding is applied to suggestions scalars to determine one or more suggestion candidates for the particular input value.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: August 10, 2021
    Assignee: salesforce.com, inc.
    Inventors: Chang Lu, Lingtao Zhang
  • Patent number: 11087227
    Abstract: Detecting patterns and sequences associated with an anomaly in predictions made a predictive system. The predictive system makes predictions by learning spatial patterns and temporal sequences in an input data that change over time. As the input data is received, the predictive system generates a series of predictions based on the input data. Each prediction is compared with corresponding actual value or state. If the prediction does not match or deviates significantly from the actual value or state, an anomaly is identified for further analysis. A corresponding state or a series of states of the predictive system before or at the time of prediction are associated with the anomaly and stored. The anomaly can be detected by monitoring whether the predictive system is placed in the state or states that is the same or similar to the stored state or states.
    Type: Grant
    Filed: July 14, 2016
    Date of Patent: August 10, 2021
    Assignee: Numenta, Inc.
    Inventors: Jeffrey C. Hawkins, Rahul Agarwal
  • Patent number: 11086882
    Abstract: Recommendation information is associated with an information classification label by a server of an online interaction platform, and a correspondence between the recommendation information and the information classification label is stored in a feature label database. The recommendation information associated with the information classification label is delivered to a user. Upon triggering of the recommendation information by a user, the information classification label associated with the recommendation information and an unique identifier associated with the user are obtained. By using the unique identifier, a user feature database is queried to determine whether a correspondence between the information classification label and the unique identifier has been established. If it is determining that the correspondence is not established, the correspondence between the information classification label and the unique identifier is established in the user feature database.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: August 10, 2021
    Assignee: Advanced New Technologies Co., Ltd.
    Inventor: Renen Sun
  • Patent number: 11080363
    Abstract: Free-form discovery of differential equations for modeling a physical system or process under investigation that includes defining a formal language sentence grammar that describes admissible relationships between quantities, and incorporating the use of such grammar for free-(functional) form, automatic discovery of differential equations. The method requires minimum knowledge of the desired differential equation and is universally applicable to ordinary and partial differential equations.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: August 3, 2021
    Assignee: International Business Machines Corporation
    Inventors: Lior Horesh, Giacomo Nannicini, Raya Horesh, Wang Zhou
  • Patent number: 11075004
    Abstract: Image correct data is received from a plurality of terminals that belong to a plurality of organizations, a learning-terminated discriminator that is a learning discriminator that has performed learning using the image correct solution data is obtained, distribution of resources capable of being used by each discriminator is determined in accordance with the number of pieces of the received image correct solution data or the degree of performance improvement of the learning-terminated discriminator, and a discrimination result “Output” obtained by performing discrimination of a discrimination target image “Input” received from the terminal using the determined resources of the distribution is transmitted to the terminal that is a transmission source.
    Type: Grant
    Filed: September 13, 2018
    Date of Patent: July 27, 2021
    Assignee: FUJIFILM Corporation
    Inventor: Yuya Kudo
  • Patent number: 11061966
    Abstract: A method for processing fusion data and an information recommendation system are provided. The method includes the follows. The information recommendation system obtains a plurality of heterogeneous data sources. The information recommendation system obtains a unified evaluation index of each heterogeneous data source, by processing the plurality of heterogeneous data sources through the value-model set. The information recommendation system obtains a loss quantitative evaluation index of the fusion-strategy model. The information recommendation system obtains a fusion sorting recommendation result of the plurality of heterogeneous data sources, by inputting the unified evaluation index of each heterogeneous data source and the loss quantitative evaluation index to the fusion-strategy model.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: July 13, 2021
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventor: Shudong Huang
  • Patent number: 11055119
    Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining during an interactive user support session user transmitted data including conversation content from a client computing device associated to the user; subjecting the user transmitted data to processing to provide feedback data associated to the conversation content obtained from the client computer device, wherein the feedback data indicates a level of satisfaction of the user, and wherein the processing includes subjecting content of the conversation content to natural language processing to return sentiment data of the user; examining data of the feedback data; performing selecting of a conversation strategy in dependence on the examining; and sending for presentment to the user returned conversation content in accordance with the certain conversation strategy.
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: July 6, 2021
    Assignee: International Business Machines Corporation
    Inventors: Zachary A. Silverstein, Indervir Singh Banipal, Shikhar Kwatra, Rodrigo Goulart Silva
  • Patent number: 11051709
    Abstract: Techniques are disclosed for detecting knowledge based on brainwave response to external stimulation. A subject can be exposed to stimuli and brainwave responses indicating a p-300 signal can be detected. Further stimuli or sequences of stimuli can be selected be presented to the subject based on the category correlated with the stimuli that indicate a p-300 response.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: July 6, 2021
    Assignee: IDEAL INNOVATIONS INCORPORATED
    Inventors: Robert Kocher, Loran Ambs
  • Patent number: 11049404
    Abstract: An Internet-of-things device can detect, using one or more sensors, a condition exceeding a predefined condition threshold. If the condition is occurring at a location outside of an area monitored by the sensors of the Internet-of-things device, a communication device can transmit an investigation request to an unmanned aircraft. The investigation request can include a request to monitor an environment at the location. The Internet-of-things device can then receive an event report identifying whether a class of event is or was occurring at the location from the unmanned aircraft. The event report can include one or more event labels. The Internet-of-things device can transform, with an artificial intelligence engine, the one or more event labels into machine learned knowledge in an Internet-of-things knowledge domain.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: June 29, 2021
    Assignee: Motorola Mobility LLC
    Inventors: John Gorsica, Rachid Alameh, Zhengping Ji, Yi Wu, Thomas Gitzinger
  • Patent number: 11049337
    Abstract: Aspects of the present disclosure describe systems, methods, and devices for vehicle mode detection based on acceleration data and location data during a trip detected by mobile devices in a vehicle. According to some examples, location data will be compared to known routeway data to detect a vehicle mode. In other examples acceleration data will be used to calculate the consistency of vehicular velocity during a trip to detect a vehicle mode. In some additional aspects, multiple analyses will be performed on the same data sets to check for false positives with vehicle mode detection.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: June 29, 2021
    Assignee: Allstate Insurance Company
    Inventors: Pratheek M. Harish, Aaron D. Daly, Jeremy Ber, Andrew L. Carbery
  • Patent number: 11050499
    Abstract: Methods and systems for collecting and analyzing an audience response are provided. An example method commences with determining that a media playing device has played a question within a media stream. The method further includes recording, via an acoustic sensor, an ambient acoustic signal for a pre-determined time interval. The method further includes detecting a presence of a voice of a user in the ambient acoustic signal, providing the ambient acoustic signal to a remote computing system, and performing, by the remote computing system, speech recognition of the ambient acoustic signal to obtain a text response. The method further includes adding, by the remote computing system, the text response to a set of text responses and analyzing the set of text responses to obtain a statistics concerning text results. The method then continues with providing, by the remote computing system, the statistics to a provider of the media stream.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: June 29, 2021
    Assignee: INSTREAMATIC, INC.
    Inventor: Stanislav Tushinskiy
  • Patent number: 11048718
    Abstract: Embodiments for feature engineering by one or more processors are described. A plurality of transformations are applied to a set of features in each of a plurality of datasets. An output of each of the plurality of transformations is a score. For each of the sets of features, selecting those of the plurality of transformations for which said score is above a predetermined threshold. A signal representative of said selection is generated.
    Type: Grant
    Filed: August 10, 2017
    Date of Patent: June 29, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elias Khalil, Udayan Khurana, Fatemeh Nargesian, Horst Cornelius Samulowitz, Deepak S. Turaga
  • Patent number: 11042603
    Abstract: Sequential hypothesis testing in a digital medium environment is described using continuous data. To begin, a model is received that defines at least one data distribution. Testing data is also received that describes an effect of user interactions with the plurality of options of digital content on achieving an action using continuous non-binary data. Values of parameters of the model are then estimated for each option of the plurality of options based on the testing data. In one example. A variance estimate is then generated based on the estimated values of the parameters of the model for each option of the plurality of options. From this, a determination is made as to a decision boundary based on the variance estimate and an estimate for a mean value of each option of the plurality of options based on the testing data.
    Type: Grant
    Filed: November 9, 2016
    Date of Patent: June 22, 2021
    Assignee: Adobe Inc.
    Inventors: Abbas Kazerouni, Mohammad Ghavamzadeh
  • Patent number: 11042808
    Abstract: Predicting probable activity consequences is provided. Information is collected from data sources to identify various activities. Patterns of how any identified activity is linked with a corresponding event are detected based on analyzing the information. The patterns are indexed with data having a relationship to a particular event. Activity context information associated with a set of identified activities corresponding to the particular event is extracted from the information. A cognitive model of how the set of identified activities corresponding to the particular event are related to a set of activity consequences is generated. Probable activity consequences with degree of severity corresponding to the activity context information is predicted based on the cognitive model. A recommendation to perform a set of action steps to reduce impact of the probable activity consequences on different aspects of the activity context information associated with the set of identified activities is generated.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: June 22, 2021
    Assignee: International Business Machines Corporation
    Inventors: James E. Bostick, Danny Yen-Fu Chen, Sarbajit K. Rakshit, Keith R. Walker
  • Patent number: 11042410
    Abstract: An apparatus (5) manages resources of a resource-controlled system (1), e.g. data processing resources in a data processing system. The resource-controlled system (1) has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus (5) may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (1). The apparatus (5) may update a value function of an adaptive learning agent (7) as a function of performance metrics (4) measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: June 22, 2021
    Assignee: Nokia Solutions and Networks Oy
    Inventors: Yue Jin, Dimitre Kostadinov, Makram Bouzid, Armen Aghasaryan
  • Patent number: 11042737
    Abstract: A learning device (10) includes an acquirer (11), a learner (12), and a generator (14). The acquirer (11) acquires a learning signal. The learner (12) performs, in accordance with similarities indicating degrees of similarity between waveforms, clustering of partial signals cut out from the learning signal acquired by the acquirer (11), and learns reference waveforms that each indicate a waveform of a corresponding partial signal of the clustered partial signals. The generator (14) generates, based on at least one of a distribution of the similarities or characteristics of clusters that each include a corresponding partial signal of the clustered partial signals, progress information indicating a progress status of the learning by the learner (12), and outputs the progress information.
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: June 22, 2021
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventors: Takahiko Masuzaki, Osamu Nasu
  • Patent number: 11042276
    Abstract: At a first computing device, a target image is identified. The target image is provided in a display on the first computing device in a communication area displaying a conversation between a first user using the first computing device and a second user using a second computing device. An indication is received that the first user has initiated editing of the target image. An edit control listing editing options is provided for display in the communication area. At the first computing device, a user selection is received of a particular editing option selected from the editing options. An edited target image is created by editing the target image using an edit operation associated with the particular editing option. The edited target image is provided to the second computing device and the communication area is updated to display the edited target image.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: June 22, 2021
    Assignee: Advanced New Technologies Co., Ltd.
    Inventor: Jiayin Liu
  • Patent number: 11037049
    Abstract: According to one or more embodiments of the present invention, a computer-implemented method includes generating, by a cognitive system, an answer for a user-provided query using an analytics algorithm. The answer is based on a set of data sources. The method further includes determining an influence weightage of each data source from the set of data sources. The method further includes generating and presenting a rationale for the answer based on the influence weightage.
    Type: Grant
    Filed: October 29, 2018
    Date of Patent: June 15, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yuk L. Chan, Mikhail Flom, Albert S. Jumba, Niraj Kumar, Tejinder Luthra, Sue Mallepalle, Florin-Traian Pistoleanu, Goduwin R. Ravindranath, Rekha M. Sreedharan, Abraham Sweiss, Sheryl Taylor, Hemanth Yarlagadda
  • Patent number: 11037005
    Abstract: The disclosure discloses a method and apparatus for identifying a traffic light. An embodiment of the method comprises: zooming a to-be-processed image acquired by an image acquisition device by at least one preset ratio to obtain at least one zoomed image; inputting the at least one zoomed image into a pre-trained convolutional neural network to obtain location information and category information of a traffic light corresponding to each zoomed image of the at least one zoomed image, wherein the convolutional neural network is used for retrieving location information and category information of a traffic light displayed in an image; and analyzing the obtained location information and category information to generate at least one candidate traffic light identification result, and fusing the generated candidate traffic light identification result to generate a traffic light identification result corresponding to the to-be-processed image. The embodiment improves the accuracy in identifying a traffic light.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: June 15, 2021
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventors: Ming Li, Tian Xia, Han Gao, Yuqiang Zhai, Shijia Chen
  • Patent number: 11032223
    Abstract: Improved systems and methods for automatically discovering and filtering electronic messages. These systems and methods improve the operation of computer apparatus to achieve dramatic reductions in processing resources, data storage resources, network resources, and filter production times compared to conventional approaches. In some examples, improvements result from configuring computer apparatus to perform a unique sequence of specific electronic message processing rules in a network communications environment. In this regard, these examples are able to automatically learn the structures and semantics of machine generated electronic message headers, accelerating the ability to support new message sources and new markets. These examples provide a purchase related electronic message discovery and filtering service that is able to identify and filter purchase related electronic messages with high accuracy across a wide variety of electronic message formats.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: June 8, 2021
    Assignee: Rakuten Marketing LLC
    Inventors: Conal Sathi, Alexander Tarasov, Dmytro Mykhaylov, Narine Kokhlikyan, Roman Ivchenko
  • Patent number: 11029841
    Abstract: Certain embodiments include an electronic device comprising a housing, a touchscreen display viewable through a portion of the housing, at least one processor disposed inside the housing and operatively connected with the touchscreen display; and a memory disposed within the housing and operatively connected with the processor, wherein the memory stores instructions that, when executed, cause the at least one processor to perform a plurality of operations, the plurality of operations comprising displaying a first augmented reality (AR) emoji on a window capable of receiving at least one first stroke input, through the touchscreen display, receiving the at least one first stroke input while displaying the first AR emoji on the window, and displaying a second AR emoji, based at least partially on a position and a shape of the at least one first stroke input.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: June 8, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Sangmin Shin, Ohyoon Kwon, Deokgyoon Yoon, Jiwoo Lee, Yeunwook Lim
  • Patent number: 11030581
    Abstract: In an embodiment, a computer-implemented method comprises, in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more data sources that were used to identify the entity or the suspected fraud; determining a subset of a plurality of data display elements, based on the determined one or more data sources, wherein each of the plurality of data display elements is configured to cause displaying health care claims data associated with the entity in a designated format; automatically obtaining, from a data repository, specific health care claims data associated with the entity for each of the plurality of data display elements in the subset; generating a lead summary report associated with the entity using a report template, the subset, and the obtained specific health care claims data.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: June 8, 2021
    Assignee: PALANTIR TECHNOLOGIES INC.
    Inventors: Gokul Subramanian, Rahul Agarwal, William Seaton, Diane Wu
  • Patent number: 11017241
    Abstract: A people-flow analysis system includes an image source, a computing device, and a host. The image source captures a first image and a second image. The computing device is connected to the image source. The computing device identifies the first image according to a data set to generate a first detecting image. The first detecting image has a position box corresponding to a pedestrian in the first image. The computing device generates a tracking image according to the data set and a difference between the first detecting image and the second image. The tracking image has another position box corresponding to a pedestrian in the second image. The host is connected to the computing device and generates a people-flow list according to the first detecting image and the tracking image.
    Type: Grant
    Filed: July 8, 2019
    Date of Patent: May 25, 2021
    Assignee: NATIONAL CHIAO TUNG UNIVERSITY
    Inventors: Bing-Fei Wu, Chun-Hsien Lin, Po-Wei Huang, Meng-Liang Chung
  • Patent number: 11017906
    Abstract: The disclosed embodiments include a method performed by server computer(s). The method includes obtaining private healthcare insurance claims data and public healthcare procedure code data from one or more data source(s), generating a model based the training data, and determining a multiplier for each of the many facilities based on the model. The model provides predictive results for variability between healthcare facilities thereby enabling consumer research in light of considerations in facility variability. The multiplier is indicative of a value used to scale the public healthcare procedure code data for a facility such that a healthcare service associated with the facility can be estimated based on the multiplier.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: May 25, 2021
    Assignee: Amino, Inc.
    Inventor: Shashank Shekhar
  • Patent number: 11010337
    Abstract: Methods, apparatus, systems and articles of manufacture to classify a first file are disclosed herein. Example apparatus include a feature hash generator to generate respective sets of one or more feature hashes for respective features of the first file. The number of the one or more feature hashes to be generated is based on an ability of the feature to distinguish the first file from a second file. The apparatus also includes a bit setter to set respective bits of a first fuzzy hash value based on respective ones of the one or more feature hashes, a classifier to assign the first file to a class associated with a second file based on a similarity between the first fuzzy hash value and a second fuzzy hash value for a second file.
    Type: Grant
    Filed: August 31, 2018
    Date of Patent: May 18, 2021
    Assignee: McAfee, LLC
    Inventor: Di Tian
  • Patent number: 11010548
    Abstract: Aspects of the subject disclosure may include, for example, a process that performs a statistical, natural-language processing analysis on a group of text documents to determine a group of topics. The topics are determined according to parameters obtained by training on a sample of documents. One or more topics in a subset of topics are associated to each document, resulting in topic-document pairs. A bias is identified for each topic-document pair, and clusters of topics are created from the subset of topics. Each cluster of topics is determined from a value for each bias of each topic-document pair and from a frequency of occurrence of each topic. Each cluster is presentable according to a corresponding image configuration based on all or a subset of the bias dimensions and the frequency of occurrence of topics in a cluster that distinguishes the cluster from other clusters. Other embodiments are disclosed.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: May 18, 2021
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Pamela Bogdan, Gary Gressel, Gary Reser, Alex Rubarkh, Kenneth Shirley
  • Patent number: 11002658
    Abstract: Some embodiments of the methods provided herein relate to sample analysis and particle characterization methods. Some such embodiments include receiving, from a particle analyzer, measurements for a first portion of particles associated with an experiment. Some embodiments also include generating a tree representing groups of related particles based at least in part on the measurements, wherein the tree includes at least three groups. Some embodiments also include generating a measure of relatedness between a first group and a second group of the tree based at least in part on the measurements. Some embodiments also include and configuring the particle analyzer to classify a subsequent particle associated with the experiment with the first group real-time, wherein the subsequent particle is not included in the first portion of particles. Some embodiments also include sorting the subsequent particle.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: May 11, 2021
    Assignee: Becton, Dickinson and Company
    Inventors: Joseph Trotter, Paul Barclay Purcell
  • Patent number: 10999356
    Abstract: An example method is provided for a computing system in a private cloud computing environment to deploy an application in a hybrid cloud computing environment. The method may comprise generating a request to deploy an application in a public cloud environment, the request including a deployment plan that specifies one or more tasks to be executed by a virtual computing resource from a cloud provider to deploy the application. The method may comprise sending, to an orchestration node in the public cloud computing environment, the request to instruct the orchestration node to provision the virtual computing resource from the cloud provider and to cause the virtual computing resource to execute the one or more tasks. The method may further comprise receiving, from the orchestration node in the public cloud environment, status data and determining whether the application is successfully deployed in the public cloud computing environment.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: May 4, 2021
    Assignee: VMWARE, INC.
    Inventors: Ping Chen, Yuanzhi Wang, Wei Zhang
  • Patent number: 10997015
    Abstract: A machine-learning mechanism of a disaster-avoidance system trains a knowledgebase to associate characteristics of a data-center component with corresponding degrees of vulnerability to failure and with remedial steps that may be undertaken to avoid failure or to reduce adverse effects of a failure. This training is performed as a function of inferences derived from historical records and from extrinsic information sources. The historical records identify past failures of similar components, component characteristics associated with past failures, and results of remedial procedures undertaken in response to past failures or to previous occurrences of the characteristics. The extrinsic sources identify the current existence of external conditions known to be associated with past failures.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: May 4, 2021
    Assignee: International Business Machines Corporation
    Inventors: Naina Singh, Daniela K. M. Trevisan, Joseph Reyes, Mark A. Lindsay
  • Patent number: 10994730
    Abstract: A traveling assistance method detects another vehicle and objects around a host vehicle, sets a blind spot area from the other vehicle, specifies an object present in the blind spot area among the detected objects, and predicts an action that the other vehicle takes in accordance with the specified object.
    Type: Grant
    Filed: April 19, 2017
    Date of Patent: May 4, 2021
    Assignee: Nissan Motor Co., Ltd.
    Inventors: Takuya Nanri, Fang Fang
  • Patent number: 10998103
    Abstract: A method, apparatus and computer program product for using machine learning to evaluate medical risks are described. A graphical user interface is provided for entering a set of patient symptoms for a first patient. A query is sent to a medical system containing the set of patient symptoms. A set of causal factors related to the patient symptoms and a set of association link strengths are received in response. Each association link strength is representative of a strength of a relationship between a respective patient symptom and a respective causal factor. The graphical user interface displays the set of patient symptoms and the set of causal factors according to the respective association link strength to show which causal factors have likely caused the patient symptoms for the first patient and are relevant for selecting among different treatment regimens.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: May 4, 2021
    Assignee: International Business Machines Corporation
    Inventors: Nadiya Kochura, Fang Lu
  • Patent number: 10990073
    Abstract: An inter-variable dependency analyzing unit analyzes a relation between an argument and a return value between instructions of a plurality of instructions included in a sequence control program, which is a control program written in a language for sequence control. A PLC instruction sorting/division unit at least either changes an instruction execution order of the plurality of instructions or divides the sequence control program in units of instructions, based on the relation between the argument and the return value between the instructions analyzed by the inter-variable dependency analyzing unit.
    Type: Grant
    Filed: August 30, 2016
    Date of Patent: April 27, 2021
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventor: Tomotaka Ogawa
  • Patent number: 10974130
    Abstract: In some embodiments, a system comprises a game controller module, a trigger satisfaction module, a metadata module, and a marker module. The game controller module may be configured to receive user control signals and execute gameplay based on the user control signals. The trigger satisfaction module may be configured to determine whether one or more events that occur during the gameplay satisfy one or more trigger conditions of a trigger. The metadata module may be configured to generate one or more trigger satisfaction indicators based on the satisfaction of the one or more trigger conditions of the trigger. The marker module may be configured to associate the one or more trigger satisfaction indicators with video of the gameplay to generate one or more game event markers to be used to enable a viewer to jump to one or more game segments associated with the trigger.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: April 13, 2021
    Assignee: Electronic Arts Inc.
    Inventors: Michael Lewis, Hans Van Veenendaal, Jonathan Back, Thomas Bruckschlegel
  • Patent number: 10977577
    Abstract: Methods and systems for estimating latent service and latent wait times include extracting transition times between activities from a partial event log. Parameters for respective gamma distributions are estimated that characterize latent waiting time and latent service time for each activity. A latent waiting time and latent service time for each activity is estimated based on the estimated parameters using a processor.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: April 13, 2021
    Assignee: International Business Machines Corporation
    Inventor: Takahide Nogayama
  • Patent number: 10962940
    Abstract: Method and system is provided for detecting faults and/or providing optimization measures to enhance the performance of one or more buildings, especially building automation equipment of the one or more buildings. The system may include a database for storing a data model comprising asset and performance data of the one or more buildings. The data model may be represented in one or more hierarchical tree-structures, in which the nodes of the tree-structures represent asset data and the leaves of the tree-structures represent performance data of the one or more buildings. The performance data may be represented in each case by data points. The data points may include time series of measured or derived field values and meta information.
    Type: Grant
    Filed: July 24, 2017
    Date of Patent: March 30, 2021
    Assignee: Siemens Schweiz AG
    Inventors: Robert Gärtner, Henrik Cohen Jensen
  • Patent number: 10955808
    Abstract: An inter-variable dependency analyzing unit analyzes a relation between an argument and a return value between instructions of a plurality of instructions included in a sequence control program, which is a control program written in a language for sequence control. A PLC instruction sorting/division unit at least either changes an instruction execution order of the plurality of instructions or divides the sequence control program in units of instructions, based on the relation between the argument and the return value between the instructions analyzed by the inter-variable dependency analyzing unit.
    Type: Grant
    Filed: August 30, 2016
    Date of Patent: March 23, 2021
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventor: Tomotaka Ogawa
  • Patent number: 10949765
    Abstract: A device may receive a first sample. The device may identify a plurality of second samples that are similar to the first sample. The plurality of second samples may correspond to service tickets that have previously been processed. The device may obtain or determine log information identifying a plurality of events associated with the first sample. The device may determine respective probabilities of occurrence corresponding to the plurality of second samples. A probability of occurrence, for a particular second sample, may identify a likelihood of receiving a corresponding service ticket within a particular time period of occurrence of the plurality of events. The device may assign ranks to the plurality of second samples based on the respective probabilities of occurrence. The device may provide information identifying the ranks and the plurality of second samples.
    Type: Grant
    Filed: September 14, 2017
    Date of Patent: March 16, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Pradeepkumar Duraisamy Soundrapandian, Shrikanth Narayanaswamy Chandrasekaran, Aditya Bhola, Venkatesh Subramanian, Vikrant S. Kaulgud, Sanjay Podder
  • Patent number: 10951552
    Abstract: Method and system are provided for generating a chatbot interface for an application programming interface (API) that interacts with networked applications. The method may include: receiving as an input a definition document for an API that interacts with networked applications and parsing the definition document to identify intents and entities and obtain examples of the identified intents and entities. The method may convert the definition document to a chatbot data structure including: extracting the intents and entities and their relationship to objects and fields in the API from the definition document; and training the chatbot data structure with the example intents and entities to generate a conversation specification in the chatbot data structure. The method may then generate a chatbot interface for the API.
    Type: Grant
    Filed: October 30, 2017
    Date of Patent: March 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Hisham Jafar Ali, Matthew J. Kempa, Aaquib Naved, Robert B. Nicholson, Vivek R. Shah, Paul S. M. Thorpe, Syed Akhass Adnan Wasti
  • Patent number: 10943156
    Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: March 9, 2021
    Assignee: L'OREAL
    Inventors: Celia Ludwinski, Florent Valceschini, Yuanjie Li, Zhiyuan Song, Christine El-Fakhri, Hemant Joshi
  • Patent number: 10938672
    Abstract: A control network, system and method is disclosed for control of a plurality of entities. The control network comprises a control hub, a data repository and a plurality of control agents. The data repository models each entity as a plurality of granular components, each granular component having a type selected from a set of granular component types. The control hub is configured to receive performance data on each entity, translate the performance data into data on the granular components and store the transformed data in the data repository in association with its respective granular component. The control hub is further configured to determine an optimal control action in respect of a granular component of one of the entities in dependence on the granular component's transformed data and on transformed data in the data repository for other granular components having the same type.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: March 2, 2021
    Assignee: Quorso UK Limited
    Inventors: Julian Mills, Daniel Slowe