公开(公告)号：US20240152130A1

公开(公告)日：2024-05-09

申请号：US18503599

申请日：2023-11-07

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Young Ae CHUN ,  Ho Jin PARK ,  Hark Jin LEE ,  Ji Yeon SON ,  Young Seog YOON ,  Eun Seo LEE ,  Seung Woog JUNG

IPC: G05B19/418

CPC classification number: G05B19/41885 ,  G05B19/4188

Abstract: Disclosed are an apparatus for configuring an equipment behavior catalog (EBC) and a virtual production system using an EBC. The apparatus for configuring the EBC according to an aspect of the present invention includes an artificial intelligence model storage configured to store an artificial intelligence model, and an EBC storage configured to store an EBC including artificial intelligence model data for the artificial intelligence model stored in the artificial intelligence model storage.

公开(公告)号：US20250080430A1

公开(公告)日：2025-03-06

申请号：US18652910

申请日：2024-05-02

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Young Ae CHUN ,  Ho Jin PARK ,  Hark Jin LEE ,  Seung Woog JUNG

IPC: H04L41/16 ,  G06N3/04 ,  G06N3/08

Abstract: The present invention relates to an apparatus and method for interfacing an equipment behavior catalogue (EBC) framework with a machine learning (ML) framework, and the apparatus includes an EBC framework including an EBC storage and a set of equipment instance models, and an ML framework interfaced with the EBC framework and including a collection of tools and libraries that support development and learning of ML models.

公开(公告)号：US20240176641A1

公开(公告)日：2024-05-30

申请号：US18244412

申请日：2023-09-11

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seung Woog JUNG ,  Hyun Chul KANG ,  Min Gi KIM ,  Ji Yeon SON ,  Young Seog YOON ,  Yong Kwi LEE ,  Eun Seo LEE ,  Hark Jin LEE ,  Young Ae CHUN

IPC: G06F9/455

CPC classification number: G06F9/45558 ,  G06F2009/45562

Abstract: An apparatus and method for executing a digital twin is provided. The apparatus includes a generation module configured to generate first to Nth digital twin Docker images by combining first to Nth digital twin models, where assets are virtualized, and first to Nth Docker images, respectively, wherein each of the digital twin Docker images includes the corresponding digital twin model and a file required for executing the corresponding digital twin model (N being a natural number greater than 1), an authoring module configured to author a digital twin workflow by connecting the first to Nth digital twin Docker images, a scheduling module configured to select a target digital twin Docker image to be currently executed from the digital twin workflow, and schedule execution of the selected target digital twin Docker image, and an execution module configured to execute the target digital twin Docker image according to the scheduling result.