APPARATUS AND METHOD FOR PREDICTING ULTRA-HIGH TEMPERATURE PROPERTY

    公开(公告)号:US20250087309A1

    公开(公告)日:2025-03-13

    申请号:US18670972

    申请日:2024-05-22

    Abstract: The present invention is to predict physical properties of a new composition, especially changes in physical properties at ultra-high temperatures, and has the effect of selecting compositions with desired physical properties without going through direct experiments by predicting changes in physical properties of new compositions, especially at ultra-high temperatures, predicting changes in physical properties due to changes in composition at absolute zero, and predicting changes in physical properties at ultra-high temperatures using the QHA (Quasi-harmonic approaching) technique and the Debye approximation for the stable phase of the composition.

    METHOD AND APPARATUS FOR AUGMENTING KNOWLEDGE USING INFORMATION OF FEDERATED LEARNING

    公开(公告)号:US20250086496A1

    公开(公告)日:2025-03-13

    申请号:US18404143

    申请日:2024-01-04

    Abstract: A method and apparatus for augmenting knowledge using federated learning information. An apparatus for augmenting knowledge using federated learning information comprises a transceiver unit that receives local information including a global parameter of a local model, a local latent vector, and a local loss value from each of a plurality of individual devices, a data storage unit that stores the local information, a federated learning execution unit that collects a global parameter of the local model and generates a federated global parameter for a global model, and a large model learning unit that generates a true label approximate value for learning a large model using the local information and the federated global parameter, and learns the large model using a prediction result obtained by inputting the local latent vector into the large model and the true label approximate value.

    OFFLINE REINFORCEMENT LEARNING BASED FORESIGHTED DECISION-MAKING METHOD AND APPARATUS FOR MULTI-AGENT INTERACTION

    公开(公告)号:US20250077943A1

    公开(公告)日:2025-03-06

    申请号:US18414026

    申请日:2024-01-16

    Abstract: An offline reinforcement learning-based foresighted decision-making apparatus and method for interaction between multiple agents. The offline reinforcement learning-based foresighted decision-making apparatus comprises a processor; and a memory connected to the processor, wherein the memory comprises program instructions for performing steps comprising collecting a raw data set about environment surrounding the multiple agents, processing the raw data set into a first data set containing at least one of state information, observation information, and action information in reinforcement learning, generating an episodic future data set from the first data set based on some of the state information, observation information, and action information, generating an episodic future data prediction model using the episodic future data set, and learning an optimal policy for decision-making for each of the multiple agents through offline reinforcement learning using the generated episodic future data prediction model or the episodic future data set.

    APPARATUS FOR RECOGNIZING ACTIVITY IN SPORTS VIDEO USING CROSS GRANULARITY ACCUMULATION MODULE AND METHOD THEREOF

    公开(公告)号:US20250069393A1

    公开(公告)日:2025-02-27

    申请号:US18710118

    申请日:2022-03-07

    Abstract: The present invention relates to an activity recognition apparatus and method in sports videos using CGAM. According to the present invention, the apparatus for recognizing an activity in a sports video using CGAM (cross granularity accumulation module) comprises an object feature extraction unit that receives a video to be analyzed into a temporal attention module (TAM) in frame units to distinguish importance between frames, sequentially inputs the frames distinguished by importance into a plurality of convolution blocks and each spatial attention module (CBAM) placed between convolution blocks to output a first feature value, outputs a second feature value by a CGAM that generates an object representation by compressing different object information output from each spatial attention module, and extracts an object feature value by multiplying the first feature value and the second feature value; and an activity feature extraction unit that sequentially inputs the extracted object feature values into a recurrent neural network (RNN) and a fully-connected (FC) layer and classifies a final activity from a probability value for each activity estimated using a sigmoid function.

    METHOD AND SYSTEM FOR MANAGING KUBERNETES CLUSTER RESOURCES IN A MULTI-CLOUD ENVIRONMENT

    公开(公告)号:US20250021371A1

    公开(公告)日:2025-01-16

    申请号:US18432381

    申请日:2024-02-05

    Abstract: A method for managing Kubernetes cluster resources in a multi-cloud environment includes: (a) selecting, when a workload which is impossible to distribute due to lack of resources is detected in a logical cloud including a plurality of clusters which are present in multiple clouds, one or more first workloads to be migrated from a first cluster to another cluster by referring to a predetermined policy, and a workload intent set for workloads executed in the logical cloud; (b) selecting a second cluster to which the one or more first workloads are to be migrated; (c) migrating the one or more first workloads to the second cluster, and deleting the one or more first workloads from the first cluster; and (d) distributing the workload which is impossible to distribute to the first cluster.

    SERVICE MIGRATION SYSTEM IN EDGE COMPUTING ENVIRONMENT

    公开(公告)号:US20240422230A1

    公开(公告)日:2024-12-19

    申请号:US18811767

    申请日:2024-08-22

    Abstract: The present disclosure relates to a service migration system in an edge computing environment. Provided is a migration system comprising: a position data collection unit for collecting position data of each user terminal; a resource data collection module for collecting resource data of each edge cloud server connected to each user terminal; and a migration module for determining the necessity of migration, and performing migration, wherein the necessity of migration is determined on the basis of the service delay time, the service interruption time, and the operation costs.

    Method for sharing profile in container environment, and recording medium and apparatus for performing the same

    公开(公告)号:US12158965B2

    公开(公告)日:2024-12-03

    申请号:US17877073

    申请日:2022-07-29

    Abstract: Provided is a design method for sharing a profile in a container environment, including: extracting a sensitive context defined as information related to system-based access control or a sandboxing policy and an insensitive context defined as information unrelated to security for a profile provided by a developer; extracting the sensitive context and the insensitive context for the profile provided by a host; fetching a max configuration for the sensitive and insensitive contexts from each image layer of the developer; and generating a final profile that is applied to deploy the container by merging the host profile with the max configuration fetched from the developer profile. Accordingly, it is possible to provide an optimal environment to developers and hosts by generating the final profile with a hierarchical model using the host profile and the developer profile.

    METHOD AND SYSTEM TO PROVIDE INFORMATION CENTRIC NETWORKING SERVICE BASED ON 5 GENERATION NETWORK

    公开(公告)号:US20240389164A1

    公开(公告)日:2024-11-21

    申请号:US18467114

    申请日:2023-09-14

    Abstract: Provided is a method for providing information-centric networking (ICN) service based on a 5G network, and the method comprises transmitting, by a producer server, a content name prefix to all ICN routers constituting an ICN data network (DN), requesting, by an ICN gateway (GW) connected to the 5G network among the ICN routers, registration of the content name prefix from an ICN service/network controller, and generating, by the ICN service/network controller, ICN application configuration information including an internet protocol (IP) address of the ICN GW and the content name prefix, and registering the generated ICN application configuration information to an ICN application function (AF).

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