公开(公告)号：US11070488B2

公开(公告)日：2021-07-20

申请号：US16234513

申请日：2018-12-27

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Tae Wan You ,  Yeon Hee Lee ,  Cheol Sig Pyo ,  Yong Geun Hong ,  Min Suk Kim ,  Woong Shik You ,  Seong Ik Cho ,  Hyun Joong Kang ,  Kwi Hoon Kim ,  Hyun Jae Kim ,  Ho Sung Lee ,  Jung Ha Hong

IPC: H04L12/915 ,  H04W76/10 ,  G06F9/50 ,  H04L12/24 ,  H04L12/911 ,  H04L12/935 ,  H04L29/08 ,  H04W12/08 ,  H04W12/69

Abstract: Provided are a system and method for controlling a workflow across domains on the basis of a hierarchical engine framework. Inventive workflow control makes it possible to configure a flexible hierarchical engine framework and provide a workflow service with low latency. Also, the system and method make it possible to control a workflow by building an engine and a data pipeline across domains.

公开(公告)号：US10833888B2

公开(公告)日：2020-11-10

申请号：US16169888

申请日：2018-10-24

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Mal Hee Kim ,  Nae Soo Kim ,  Seong Ik Cho ,  Cheol Sig Pyo

IPC: G06F16/901 ,  H04L12/28 ,  G06N5/02 ,  H04L29/08 ,  G05D1/00 ,  G05B15/02

Abstract: An automatic configuration device, for an Internet-of-Things (IoT) device, which operates a data analysis-based automation system includes when various types of IoT devices are registered in a system, a data analysis-based automation system for supporting both use of functions of the IoT devices and an effective analysis of collected data.

公开(公告)号：US20180189679A1

公开(公告)日：2018-07-05

申请号：US15859937

申请日：2018-01-02

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyun Joong KANG ,  Hyun Jae Kim ,  Ho Sung Lee ,  Soon Hyun Kwon ,  Kwi Hoon Kim ,  Young Min Kim ,  Eun Joo Kim ,  Hong Kyu Park ,  Ji Hoon Bae ,  Se Won Oh ,  Jae Hak Yu ,  Yeon Hee Lee ,  Nae Soo Kim ,  Sun Jin Kim ,  Seong Ik Cho ,  Cheol Sig Pyo

IPC: G06N99/00 ,  G06N5/02

CPC classification number: G06N20/00 ,  G06N5/02 ,  G06N5/022

Abstract: Provided are a self-learning system and method for automatically performing machine learning (ML). The self-learning system includes a memory configured to store an ML knowledge database (DB) in which ML knowledge is stored and a program for automatically performing ML based on request information of a user, and a processor configured to execute the program stored in the memory. Here, when executing the program, the processor creates or recommends at least one workflow corresponding to the request information of the user based on the ML knowledge stored in the ML knowledge DB and generates an execution code for performing the created or recommended workflow.

公开(公告)号：US20180189655A1

公开(公告)日：2018-07-05

申请号：US15854387

申请日：2017-12-26

Applicant: Electronics and Telecommunications Research Institute

Inventor： Se Won OH ,  Yeon Hee Lee ,  Ji Hoon Bae ,  Hyun Joong Kang ,  Soon Hyun Kwon ,  Kwi Hoon Kim ,  Young Min Kim ,  Eun Joo Kim ,  Hyun Jae Kim ,  Hong Kyu Park ,  Jae Hak Yu ,  Ho Sung Lee ,  Seong Ik Cho ,  Nae Soo Kim ,  Sun Jin Kim ,  Cheol Sig Pyo

IPC: G06N5/02 ,  G06F15/18 ,  G06F7/02 ,  G06F17/17

CPC classification number: G06N5/02 ,  G06F7/023 ,  G06F17/17 ,  G06N5/022 ,  G06N20/00

Abstract: Provided is a data meta-scaling method. The data meta-scaling method optimizes an abbreviation criterion for abbreviating data through continuous knowledge augmentation in various dimensions which enable expression of data in a process of performing machine learning.