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    Additive manufacturing apparatus and related process
    11.
    发明授权
    Additive manufacturing apparatus and related process 有权

    公开(公告)号：US10766190B2

    公开(公告)日：2020-09-08

    申请号：US15823778

    申请日：2017-11-28

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Scott Andrew Weaver ,  Anthony Joseph Vinciquerra

    IPC: B29C64/205 ,  B33Y10/00 ,  B33Y30/00 ,  B29C64/153 ,  B22F3/105 ,  B28B1/00 ,  C03B19/01 ,  B29C64/245 ,  B33Y40/00 ,  B29C64/241

    Abstract: Additive manufacturing apparatus including a build module is presented. The build module includes a support structure; a powder supply chamber formed in the support structure; and powder applicator disposed on the support structure and located proximate to the powder supply chamber. The build module further includes a powder recovery chamber and a plurality of build plates spatially disposed around the powder recovery chamber, the plurality of build plates configured to move around the powder recovery chamber. The build module is configured such that during an additive manufacturing process step, a build plate of the plurality of build plates is disposed between the powder supply chamber and the powder recovery chamber, and the powder applicator is configured to distribute a required amount of the powder material from the powder supply chamber on the build plate and deposit any excess powder material in the powder recovery chamber. Related processes are also presented.

    Knowledge-driven federated big data query and analytics platform
    16.
    发明授权
    Knowledge-driven federated big data query and analytics platform 有权

    公开(公告)号：US10997187B2

    公开(公告)日：2021-05-04

    申请号：US16282643

    申请日：2019-02-22

    Applicant: General Electric Company

    Inventor： Kareem Sherif Aggour ,  Paul Cuddihy ,  Vijay Shiv Kumar ,  Jenny Marie Weisenberg Williams ,  Anthony Joseph Vinciquerra

    IPC: G06F16/2458 ,  G06F16/907 ,  G06F16/9038 ,  G06N20/00 ,  G06F16/25 ,  G06N5/02

    Abstract: A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

    Knowledge-driven federated big data query and analytics platform
    17.
    发明授权
    Knowledge-driven federated big data query and analytics platform 有权

    公开(公告)号：US10963518B2

    公开(公告)日：2021-03-30

    申请号：US16282684

    申请日：2019-02-22

    Applicant: General Electric Company

    Inventor： Kareem Sherif Aggour ,  Paul Cuddihy ,  Vijay Shiv Kumar ,  Jenny Marie Weisenberg Williams ,  Anthony Joseph Vinciquerra

    IPC: G06F16/9038 ,  G06F16/2458 ,  G06F16/907 ,  G06N5/00

    Abstract: A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results. A system and a non-transitory computer-readable medium are also disclosed.

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