公开(公告)号：US09064148B2

公开(公告)日：2015-06-23

申请号：US13869196

申请日：2013-04-24

Applicant: Electronics and Telecommunications Research Institute

Inventor： Young Won Kim ,  Jae Gwan Song ,  Dong Gil Na ,  Hoon Jung ,  Yong Hoon Choi ,  Moon Sung Park ,  Ji Young Choi ,  Heon Gyu Lee ,  Jin Hyoung Park ,  Hee Chul Bae ,  Hong Kyu Park

IPC: G06K9/00 ,  B07C3/14 ,  B07C3/18 ,  G07B17/02

CPC classification number: G06K9/00442 ,  B07C3/14 ,  B07C3/18 ,  G06K9/00892

Abstract: Provided is an apparatus for receiving an unmanned mail capable of automatically acquiring the address information even though the user does not directly input the address information. The apparatus acquires address information of an addressee by automatically recognizing the address of the mail when the address is written on the mail, and acquires the address information of the addressee through the paper on which the address is printed or written, identification, and biometric recognition when the address is not written on the mail. The apparatus may acquire the address information of the addressee through a mail sender's voice.

Abstract translation: 提供一种用于接收能够自动获取地址信息的无人邮件的装置，即使用户不直接输入地址信息。 该设备通过在地址被写入邮件时自动识别邮件的地址来获取收件人的地址信息，并通过打印或写入地址的纸张，识别和生物识别识别来获取收件人的地址信息 当地址不写在邮件上时。 该装置可以通过邮件发送者的声音获取收件人的地址信息。

公开(公告)号：US11144833B2

公开(公告)日：2021-10-12

申请号：US15692070

申请日：2017-08-31

Applicant: Electronics and Telecommunications Research Institute

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

IPC: G06F11/36 ,  G06F16/25 ,  G06F16/24 ,  G06N5/00 ,  G06F8/10 ,  G06F16/28 ,  G06N5/04 ,  G06F8/36 ,  G06Q10/06

Abstract: Provided are a data processing apparatus and method for merging and processing deterministic knowledge and non-deterministic knowledge. The data processing apparatus and method may efficiently process various real-time and large-scale data to convert the data into knowledge by merging and processing non-deterministic knowledge and also deterministic knowledge perceived by an expert. Thus, it is possible to adaptively operate in accordance with a dynamically changing application service environment by converting a conversion rule for converting collected data generated from an application service system into semantic data, a context awareness rule for perceiving context information from given information, and a user query for searching for knowledge information into knowledge and gradually augmenting the knowledge information in accordance with an application service environment.

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.