Address management method and system for application in lisp-based distributed container virtualization environment

    公开(公告)号:US12278799B2

    公开(公告)日:2025-04-15

    申请号:US17928487

    申请日:2022-05-17

    Abstract: Provided is a method for managing an address for an application of a LISP (Locator ID Separation Protocol) network system in a distributed container-based virtualization environment, and the method comprises detecting, by a service discovery agent of a container platform, generation of an application in a corresponding cluster; querying, by the service discovery agent, a service IP address to be assigned to an application to be generated by transmitting a service name to a central control plane; searching, by the control plane, for a service IP address matching the service name and transmitting the service IP address to the service discovery agent; and transmitting, by the service discovery agent, the service IP address to a manager of the container platform to complete the generation of the application, and mapping the service IP address to a public IP for the generated application to register it in the control plane.

    TRAFFIC CONTROL METHOD AND APPARATUS WITH AUTONOMOUS VEHICLE BASED ON ADAPTIVE REWARD

    公开(公告)号:US20250095487A1

    公开(公告)日:2025-03-20

    申请号:US18404077

    申请日:2024-01-04

    Abstract: A traffic control method and apparatus with an autonomous vehicle based on adaptive reward. A traffic control apparatus for an autonomous vehicle based on adaptive reward comprises an information observation unit that collects observation information from a sensing module of an autonomous vehicle or a roadside unit (RSU); a policy execution unit that decides on an action including adjusting acceleration and changing lanes of the autonomous vehicle based on the observation information and policy; and a reward determination unit that determines reward according to observation information at a next timestep according to the decision made, wherein reward in the reward determination unit includes penalty in an event of an accident and reward when driving, wherein the reward when driving includes an adaptive target speed reward term, a successful lane change reward term, and a safety distance compliance reward term that are adaptively determined according to road traffic.

    APPARATUS FOR SEARCHING SODIUM SUPERION CONDUCTOR MATERIAL USING MACHINE LEARNING METHOD

    公开(公告)号:US20240265293A1

    公开(公告)日:2024-08-08

    申请号:US18142395

    申请日:2023-05-02

    CPC classification number: G06N20/00

    Abstract: An apparatus for providing sodium superion conductor material information using a machine learning method is provided. The apparatus includes a classification unit for generating classification information by classifying sodium superion conductor material information by comparing an output value obtained by inputting material characteristic information into a sodium superion conductor material search model with a preset threshold value: a first verification unit for selecting information on a structure in an electrochemically stable state using Ewald summation from the generated classification information; and a second verification unit for selecting and providing final information on a structure having high ionic conductivity using AIMD simulation from the information on the structure in the electrochemically stable state.

    ROOT CAUSE ANALYSIS METHOD, APPARATUS AND SYSTEM IN CLOUD ENVIRONMENT

    公开(公告)号:US20240202063A1

    公开(公告)日:2024-06-20

    申请号:US18544720

    申请日:2023-12-19

    Inventor: Young Han KIM

    CPC classification number: G06F11/079 G06F11/0793

    Abstract: A root cause analysis system for analyzing a root cause in a cloud environment comprises: an infra controller searching a data source endpoint, and bringing address and port information of the data source endpoint when a monitoring agent is installed in a plurality of clusters; a monitoring module registering the address and port information of the data source endpoint according to a request of the intra controller, and collecting data from the monitoring agent in real time; a prediction and localization module predicting an abnormal accident in the plurality of clusters by inputting the data collected in real time into a machine learning-based prediction model, and searching a root cause of the abnormal accident by using a feature score and a log score for a metric of the abnormal accident; and a remediation (treatment) module performing a preliminary recovery process according to the searched root cause.

    APPARATUS AND METHOD FOR INFERRING DRIVING CHARACTERISTICS OF A VEHICLE

    公开(公告)号:US20230406327A1

    公开(公告)日:2023-12-21

    申请号:US17959515

    申请日:2022-10-04

    Abstract: The present disclosure relates to a driving characteristic inference apparatus and method of a vehicle. According to an exemplary embodiment of the present disclosure, a driving characteristic inference method includes observing a target driving vehicle which is an observation target to generate driving data including behavior information of the target driving vehicle, by an observation module; performing reinforcement learning on an artificial intelligence model using learning data including a first driving characteristic coefficient, by a learning module; generating sampled inference behavior data with the driving data and the first driving character coefficient as an input of the artificial intelligence model, by a model utilization module; and comparing the generated inference behavior data with measured actual behavior data to determine the second driving characteristic coefficient, by an inference module.

Patent Agency Ranking