Abstract: The present invention relates to a molding thickness inspection device, a molding thickness inspection system including the same, and a molding thickness inspection method. The molding thickness inspection system according to an aspect of the present invention includes a molding thickness inspection device in which a plurality of illuminance sensors are installed and which accommodates an inspection target product which is illuminated, and a control device configured to inspect whether a thickness of the inspection target product is abnormal based on illuminance data measured by the plurality of illuminance sensors.

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.

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.

Abstract: The present invention relates to a dynamic scheduling system and method of a dyeing process using a genetic algorithm, and more particularly, to technology which performs an optimized process corresponding to an ordered work command in a dyeing process by using process scheduling based on a genetic algorithm to increase production efficiency.

Abstract: Provided are a method and an apparatus for providing a trust-based media service. First user related data and second user related data are collected from a media service and other service, the trust is analyzed based on the collected data, trust information including the trust index of the first user or the second user is obtained, and the trust information is provided. The trust index is calculated based on a value of trustworthiness for a user obtained based on a first individual measurement index calculated based on the collected data and a value of relationship between the first user and the second user obtained based on a second individual measurement index calculated based on the collected data.

Abstract: Provided are a method and an apparatus for providing a trust-based media service. First user related data and second user related data are collected from a media service and other service, the trust is analyzed based on the collected data, trust information including the trust index of the first user or the second user is obtained, and the trust information is provided. The trust index is calculated based on a value of trustworthiness for a user obtained based on a first individual measurement index calculated based on the collected data and a value of relationship between the first user and the second user obtained based on a second individual measurement index calculated based on the collected data.

Abstract: The present invention is a trust-based resource sharing method and system for managing resources such as accommodations, automobiles, bicycles, equipment, instruments, tools, furniture, and the like during the lease period, using the Internet and smart home technology. The invention, unlike the existing sharing economy approach (e.g., Airbnb, Uber, and the like) that simply links the owner (or lender) of the resource with the user (or tenant), allows a reliable service transaction between a resource provider (or lender) and a tenant, on the basis of the trust information analyzed through accumulated data collected through IoT sensors. The method and system of the present invention perform resource sharing transaction including procedures of creating and managing a trust grade of a user who uses resources, creating and managing a trust grade of resources, and controlling the use of resources based on the user trust grade and the resource trust grade.