公开(公告)号：US20140096806A1

公开(公告)日：2014-04-10

申请号：US13942811

申请日：2013-07-16

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hoon JEONG ,  Chang Won Lee ,  Gwan Joong Kim

IPC: H01L35/32

CPC classification number: H01L35/32 ,  H01L35/30

Abstract: Provided is a private electric generator including: a first heat absorbing panel that absorbs heat corresponding to temperature; a second heat absorbing panel that absorbs heat corresponding to ground temperature or water temperature; and a thermoelectric generator that is disposed between the first and second heat absorbing panels and uses a temperature difference in the heat absorbed in the first and second heat absorbing panels to generate power, thereby generating power based on a difference in temperature and ground temperature or water temperature according to a daily temperature range.

Abstract translation: 提供一种私人发电机，包括：吸收与温度相对应的热量的第一吸热板; 吸收对应于地面温度或水温的热量的第二吸热板; 以及热电发电机，其设置在第一吸热板和第二吸热板之间，并且使用第一和第二吸热板吸收的热量的温差来发电，从而基于温差和地温或水的差异发电 温度根据日常温度范围。

公开(公告)号：US10565699B2

公开(公告)日：2020-02-18

申请号：US15950408

申请日：2018-04-11

Applicant: Electronics and Telecommunications Research Institute ,  KOREA ATOMIC ENERGY RESEARCH INSTITUTE

Inventor： Ji Hoon Bae ,  Gwan Joong Kim ,  Se Won Oh ,  Doo Byung Yoon ,  Wan Seon Lim ,  Kwi Hoon Kim ,  Nae Soo Kim ,  Sun Jin Kim ,  Cheol Sig Pyo

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62 ,  G06N20/00

Abstract: Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.

公开(公告)号：US20180293723A1

公开(公告)日：2018-10-11

申请号：US15950408

申请日：2018-04-11

Applicant: Electronics and Telecommunications Research Institute ,  KOREA ATOMIC ENERGY RESEARCH INSTITUTE

Inventor： Ji Hoon BAE ,  Gwan Joong Kim ,  Se Won Oh ,  Doo Byung Yoon ,  Wan Seon Lim ,  Kwi Hoon Kim ,  Nae Soo Kim ,  Sun Jin Kim ,  Cheol Sig Pyo

IPC: G06T7/00 ,  G06N99/00 ,  G06K9/62

CPC classification number: G06T7/0004 ,  G06K9/6231 ,  G06K9/6245 ,  G06K9/6262 ,  G06K9/629 ,  G06N3/126 ,  G06N20/00 ,  G06T2200/04 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30136

Abstract: Provided are an apparatus and method for detecting an anomaly in a plant pipe using multiple meta-learning. When a multi-sensor data stream about a plant pipe is received, each of a plurality of meta-learning modules for processing different packet section ranges, extracts one or more preset types of features from sensor data of packet section ranges set according to trend from an arbitrary reception time point, generates 2D image features of the features according to multi-sensor-specific times, generates 3D volume features by accumulating the 2D image features in a depth direction according to multiple sensors, and learns the 3D volume features in parallel through multi-sensor-specific learning modules. Results of the learning of the meta-learning modules are aggregated, and it is determined whether there is an anomaly in a plant pipe according to a learning result selected based on an optimal combination of multiple features, multiple sensors, and multiple packet sections.

公开(公告)号：US20130191064A1

公开(公告)日：2013-07-25

申请号：US13749077

申请日：2013-01-24

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hyeon Park ,  Chang Won Lee ,  Gwan Joong Kim

IPC: G06F11/00

CPC classification number: G06F11/00 ,  G01D3/08 ,  G01N33/18

Abstract: Disclosed in an apparatus and method for restoring sensor data faults remotely that are caused due to an impurity attached to a water quality sensor, by using sensor data, the apparatus including, a fault determining unit to determine whether the water quality sensor is faulty using fault related data when the sensor data received from a sensor node is an outlier value, and a cleaning device requesting unit to request operation of a cleaning device that removes an impurity of the water quality sensor when the water quality sensor is determined to be normal.

Abstract translation: 本发明涉及用于通过使用传感器数据远程恢复由于附着在水质传感器上的杂质导致的传感器数据故障的装置和方法，所述装置包括故障确定单元，用于确定水质传感器是否故障使用故障 当从传感器节点接收到的传感器数据是异常值时，相关数据和清洁装置请求单元要求在确定水质传感器正常时去除水质传感器杂质的清洁装置的操作。