METHOD AND SYSTEM FOR SELECTING OPTIMAL SYNCHRONIZATION BROKER FOR EACH WORKLOAD

    公开(公告)号:US20240137408A1

    公开(公告)日:2024-04-25

    申请号:US18380968

    申请日:2023-10-16

    CPC classification number: H04L67/1008 H04L67/1012

    Abstract: There are provided a method and a system for selecting an optimal synchronization broker for each workload. A system for selecting an optimal synchronization broker for each workload according to an embodiment includes: a storage unit including a database that contains specialist recommendation information including information on a correct protocol that is recommended by a specialist with respect to a service specification and data transmission requirements; and a processor configured to determine an optimal in-bound protocol and an optimal out-bound protocol according to the data transmission requirements through a decision tree model that is trained by using the specialist recommendation information as training data.

    SYSTEM BASED ON IOMT AND OPERATING METHOD OF THE SAME

    公开(公告)号:US20240111621A1

    公开(公告)日:2024-04-04

    申请号:US18466210

    申请日:2023-09-13

    CPC classification number: G06F11/079 G06F11/0709

    Abstract: Proposed is a system based on the Internet of Media Things (IoMT). The system may include at least one first sensor configured to perform a predetermined function in a target space or region, and a second sensor based on at least one of video or audio. The system may also include a first analysis processor configured to generate first analysis data of a set mission within the target space or region based on first data sensed by the first sensor. The system may further include a second analysis processor configured to generate second analysis data for a set mission within the target space or region based on second data sensed by the second sensor. The system may further include storage configured to store the sensed first data and second data and the first and second analysis data based on the identifier.

    ON-DEVICE-BASED DATA ANALYSIS SYSTEM AND METHOD

    公开(公告)号:US20240106728A1

    公开(公告)日:2024-03-28

    申请号:US18257121

    申请日:2020-12-18

    CPC classification number: H04L43/0876 H04L41/16

    Abstract: An on-device based data analysis system and a method are proposed. According to specific examples of the system and method, when a size of measurement data collected from sensors, processes, or various equipment according to a user request is greater than or equal to an upper limit of a predetermined range of an on-device resource usage rate, the collected measurement data is transmitted to a cloud server to perform noise removal, pre-processing, and analysis on the measurement data on a cloud-basis, and when the size of the measurement data is within the predetermined range of the on-device resource usage rate or is less than a lower limit, the noise removal, pre-processing, and analysis is performed on the measurement data on an on-device basis, so that distributed processing between the on-device processing device and the cloud server is performable, whereby loads on the cloud server may be reduced.

    METHOD FOR REGENERATING TOOL PATH ON BASIS OF OUTPUT DATA FEEDBACK IN ORDER TO IMPROVE 3D PRINTING OUTPUT RELIABILITY

    公开(公告)号:US20240100779A1

    公开(公告)日:2024-03-28

    申请号:US18038767

    申请日:2021-11-03

    Abstract: Provided is a method for regenerating a tool path on the basis of output data feedback in order to improve 3D printing output reliability. A tool path regeneration system according to an embodiment of the present invention comprises: a slicing unit for configuring a process parameter for 3D printing and performing slicing for 3D model data on the basis of the configured process parameter to generate a job file; and an output unit for performing 3D printing on the basis of the generated job file and collecting output data that is output while the 3D printing is performed, wherein the slicing unit comprises an output data analysis module for performing monitoring on the basis of the output data received from the output unit and determining whether to correct the process parameter on the basis of the result of the monitoring. Thus, when a user recognizes or predicts an output error and output failure in an output step, the user can regenerate an output error alarm or a tool path on the basis of output data feedback generated in the output step without returning to a slicing step to regenerate a job file, whereby output reliability can be improved and a production time and a production cost can be reduced.

    Low-dielectric thermally curable resin composition and low dielectric material prepared therefrom

    公开(公告)号:US11884759B2

    公开(公告)日:2024-01-30

    申请号:US17541023

    申请日:2021-12-02

    CPC classification number: C08F220/58 C08F220/282

    Abstract: This application relates to a low-dielectric thermally curable resin composition for solving a problem of increased transmission loss. In one aspect, the low-dielectric thermally curable resin composition includes a (meth)acrylic monomer having an alicyclic heterocycle, a polyfunctional (meth)acrylic monomer, an initiator, and a curing accelerator, and a low dielectric material prepared therefrom. Various embodiments can provide excellent low dielectric properties with a dielectric constant (Dk) in a high frequency area of 1 to 20 GHz of less than, for example, 3.28. In addition, the low dielectric material can have a significantly reduced transmission loss with a dissipation factor (Df) in an area of 1 to 20 GHz of less than, for example, 0.008, and thus, may implement excellent transmission properties in excellent 5G mobile communication.

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