公开(公告)号：US09106662B2

公开(公告)日：2015-08-11

申请号：US13769775

申请日：2013-02-18

Applicant: Electronics and Telecommunications Research Institute

Inventor： Joon Young Jung ,  Dong-oh Kang ,  Chang Seok Bae

IPC: H04L1/00 ,  H04L29/08

CPC classification number: H04L67/1002

Abstract: An apparatus for controlling load allocation in a cluster system includes a cluster module having a plurality of target nodes and a cluster power management module. The cluster power management module analyzes resource usage of the target nodes by monitoring the load states of the target nodes. The cluster power management module adaptively allocates loads to the target nodes based on the analyzed resource usage and N allocation thresholds settled in response to an increase of the analyzed resource usage. The cluster power management module controls the target nodes so that the power state can be changed with the adaptively allocated loads.

Abstract translation: 用于控制集群系统中的负载分配的装置包括具有多个目标节点的集群模块和集群电源管理模块。 集群电源管理模块通过监视目标节点的负载状态来分析目标节点的资源使用情况。 集群电源管理模块基于所分析的资源使用和响应于分析的资源使用的增加而确定的N个分配阈值自适应地将负载分配给目标节点。 集群电源管理模块控制目标节点，以便通过自适应分配的负载来改变电源状态。

公开(公告)号：US20240311560A1

公开(公告)日：2024-09-19

申请号：US18595675

申请日：2024-03-05

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Joon Young Jung ,  Dong-oh Kang ,  Hwajeon Song

IPC: G06F40/205 ,  G06N3/0895

CPC classification number: G06F40/205 ,  G06N3/0895

Abstract: The present invention relates to an apparatus and method for deep learning-based coreference resolution using a dependency relation. An apparatus for deep learning-based coreference resolution according to the present invention includes a training data generation module that extracts one or more natural language sentences from a natural language paragraph and performs dependency parsing on the natural language sentences to generate dependency relation data of the natural language sentences, an embedding module that generates an integrated embedding vector for the natural language paragraph based on the natural language sentence and the dependency relation data, and a coreference resolution module that trains a deep learning neural network based on the integrated embedding vector and a first coreference mention preset for the natural language paragraph to generate a coreference resolution model.