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公开(公告)号：US20180336507A1
公开(公告)日：2018-11-22
申请号：US15962213
申请日：2018-04-25
发明人： Ruben Rodriguez Torrado , Debarun Bhattacharjya , Jeffrey Owen Kephart , Jesus Maria Rios Aliaga , Dharmashankar Subramanian , Enara C. Vijil
摘要： A risk modeling system, method and program product. A query orchestrator interfaces with users posing high-level queries and expanding high-level queries into lower level queries. A queryable risk extractor applies lower level queries to available risk-related knowledge to extract potential risks, e.g., to petrochemical resource production in a selected locale. A semantic enrichment unit applies semantic enrichment to extracted potential risks and selectively annotates the enriched results. A risk model builder generates a graphical risk model for display on a display. Risk analyst can use the graphical risk model to augment risk-related intelligence.
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公开(公告)号：US20240330288A1
公开(公告)日：2024-10-03
申请号：US18191125
申请日：2023-03-28
发明人： Jeffrey Owen Kephart
IPC分类号： G06F16/2453 , G06F16/2455 , G06F16/248
CPC分类号： G06F16/24542 , G06F16/2455 , G06F16/248
摘要： Computer-implemented methods for a system for storing and retrieving queries by content. Aspects include receiving data associated with a search query. Aspects further include generating a query table by executing a metaquery using the data on query metadata attributes of existing search queries. The query table can include information for a group of search queries of the existing search queries. Aspects also include generating search results by executing a selected query chosen from the query table and displaying the search results from the execution of the selected query.
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公开(公告)号：US20240333739A1
公开(公告)日：2024-10-03
申请号：US18192812
申请日：2023-03-30
发明人： Bhavna Agrawal , Robert Jeffrey Baseman , Jeffrey Owen Kephart , Anuradha Bhamidipaty , Elham Khabiri , Yingjie Li , Srideepika Jayaraman
CPC分类号： H04L63/1425 , H04L41/16
摘要： Detecting and mitigating anomalous system behavior by providing a machine learning model comprising a knowledge graph depicting system entity relationships, and modeling behavioral correlations among system entities according to historical time-series data, receiving real-time time-series data for the system, detecting an anomalous system behavior in a system locale, according to the real-time time-series data, according to the machine learning model and multivariate sensor metrics, diagnosing the anomalous system behavior according to an upstream portion of the knowledge graph and a statistical behavior model for the system locale, and mitigating the anomalous behavior by deriving a recommended action according to the anomalous behavior and generating a work order to implement the recommended action.
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公开(公告)号：US12099941B2
公开(公告)日：2024-09-24
申请号：US16925013
申请日：2020-07-09
发明人： Arun Kwangil Iyengar , Jeffrey Owen Kephart , Dhavalkumar C. Patel , Dung Tien Phan , Chandrasekhara K. Reddy
IPC分类号： G06Q10/00 , G06F18/214 , G06F18/22 , G06N20/20 , G06Q10/04
CPC分类号： G06Q10/04 , G06F18/214 , G06F18/22 , G06N20/20
摘要： Techniques for generating model ensembles are provided. A plurality of models trained to generate predictions at each of a plurality of intervals is received. A respective prediction accuracy of each respective model of the plurality of models is determined for a first interval of the plurality of intervals by processing labeled evaluation data using the respective model. Additionally, a model ensemble specifying one or more of the plurality of models for each of the plurality of intervals is generated, comprising selecting, for the first interval, a first model of the plurality of models based on (i) the respective prediction accuracies and (ii) at least one non-error metric.
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公开(公告)号：US20220019742A1
公开(公告)日：2022-01-20
申请号：US16933964
申请日：2020-07-20
发明人： Anuradha Bhamidipaty , Elham Khabiri , Shuxin Lin , Jeffrey Owen Kephart , Yingjie Li , Bhavna Agrawal
IPC分类号： G06F40/30 , G06F40/295 , G06N5/02
摘要： A method is provided for creating a semantic model for submitting search queries thereto. The method includes an act of receiving data from one or more input sources in an entity and relationship capture service of a situational awareness engine. The method further includes an act of extracting entities and relationships between the entities in two or more extraction services, where the two or more extraction services include at least two of a table-to-graph service, an event-to-graph service, a sensor-to-graph service, a text-to-graph service, and an image-to-graph service. The method includes an act of generating a semantic model based on fusion and labeling the extracted data provided by the at least two extraction services, where the semantic model can receive a search query and respond to the search query based on the generated semantic model.
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公开(公告)号：US20240047279A1
公开(公告)日：2024-02-08
申请号：US17817688
申请日：2022-08-05
发明人： Robert Jeffrey Baseman , Elham Khabiri , Anuradha Bhamidipaty , Yingjie Li , Srideepika Jayaraman , Bhavna Agrawal , Jeffrey Owen Kephart
CPC分类号： H01L22/20 , G06K9/6232 , H01L21/67253 , H01L22/10
摘要： Embodiments of the invention are directed to a computer-implemented method. A non-limiting example of the computer-implemented method includes accessing, using a processor system, a process-step sequence that includes a plurality process-steps and a plurality of queue-times. A process-step sequence mining operation is applied to the process-step sequence, wherein the process-step sequence mining operation is operable to make a prediction of an impact of a portion of the process-step sequence on a characteristic of a product generated by the process-step sequence.
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公开(公告)号：US11437017B2
公开(公告)日：2022-09-06
申请号：US16937342
申请日：2020-07-23
发明人： Jeffrey Owen Kephart , Hui Su , Maira Gatti de Bayser , Melina de Vasconcelos Alberio Guerra , Rahul Divekar , Matthew Peveler , Xiangyang Mou , Lisha Chen
摘要： Human speech signals that are uttered within an environment are transcribed; the environment includes one or more avatars representing one or more software agents; the human speech signals are directed to at least one of the avatars. At least one non-speech behavioral trace is obtained within the environment; the trace is representative of non-speech behavior directed to the at least one of the avatars. The transcribed human speech signals and the at least one non-speech behavioral trace are forwarded to the one or more software agents. A proposed act is obtained from at least one of the agents; responsive thereto, a command is issued to cause the avatar corresponding to the software agent from which the proposed act is obtained to emit synthesized speech and to act visually in accordance with the proposed act.
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公开(公告)号：US20200233872A1
公开(公告)日：2020-07-23
申请号：US16251464
申请日：2019-01-18
发明人： John G. Vergo , Anuradha Bhamidipaty , Justin Platz , Alan M. Webb , Jeffrey Owen Kephart , Danny Soroker , Daniel M. Gruen , Julie Macnaught , Michael Abraham Tanenblatt , Siva Sankalp Patel
IPC分类号： G06F16/2457 , G06Q10/06
摘要： A similarity determination method, system, and computer program product, including using a description of companies for making a list of query entities, calculating a set of similar companies for each company on the list of query entities, employing a voting scheme to rank the results of the calculating, ordering a final set of the results based on the voting scheme and presenting them back to the user as a first ranked list, iteratively repeating the calculating by adding a second set of new companies and recalculating a second ranked list of recommended companies based on the updated query list, combining the first ranked list and the second ranked into a single set of companies of a combined list while remembering which of the first ranked list and the second ranked list from which each company originated, and visualizing the combined list based on which original list the companies came from. The technique can be extended to an arbitrary number of lists.
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公开(公告)号：US11442991B2
公开(公告)日：2022-09-13
申请号：US16520929
申请日：2019-07-24
发明人： Jeffrey Owen Kephart , Hui Su , Matthew Peveler
IPC分类号： G06F16/9032 , G06F16/9532 , G06F16/954 , G06F3/16 , G06F40/30
摘要： A computer-implemented method for multi-modal interaction with structured web page data includes automatically injecting event monitoring code into a web page. One or more event streams generated by the injected event monitoring code are received. A request to perform an operation on data displayed on the web page is received from a user. A command is generated that has one or more parameters based at least in part on one or more mappings between the received request and the received one or more event streams. The command to fulfil the received request is executed by interacting with the web page.
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公开(公告)号：US20220028366A1
公开(公告)日：2022-01-27
申请号：US16937342
申请日：2020-07-23
发明人： Jeffrey Owen Kephart , Hui Su , Maira Gatti de Bayser , Melina de Vasconcelos Alberio Guerra , Rahul Divekar , Matthew Peveler , Xiangyang Mou , Lisha Chen
摘要： Human speech signals that are uttered within an environment are transcribed; the environment includes one or more avatars representing one or more software agents; the human speech signals are directed to at least one of the avatars. At least one non-speech behavioral trace is obtained within the environment; the trace is representative of non-speech behavior directed to the at least one of the avatars. The transcribed human speech signals and the at least one non-speech behavioral trace are forwarded to the one or more software agents. A proposed act is obtained from at least one of the agents; responsive thereto, a command is issued to cause the avatar corresponding to the software agent from which the proposed act is obtained to emit synthesized speech and to act visually in accordance with the proposed act.
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