公开(公告)号：US20240192187A1

公开(公告)日：2024-06-13

申请号：US18509735

申请日：2023-11-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jae Hun CHOI ,  Do Hyeun KIM ,  Hwin Dol PARK ,  Seunghwan KIM ,  Hyung Wook NOH ,  Chang-Geun ANH ,  YongWon JANG ,  Kwang Hyo CHUNG

IPC: G01N33/00

CPC classification number: G01N33/0034 ,  G01N33/0011 ,  G01N33/0062 ,  G01N2033/0019

Abstract: Disclosed is an artificial intelligence apparatus for detecting a target gas, which includes a mixed gas measurement unit that measures a mixed gas collected in a plurality of domains through a sensor array to generate sensing data including heterogeneous domain measurement data measured from the mixed gas collected in a domain different from the target gas and target domain measurement data measured from the mixed gas collected from the same domain as the target gas, a heterogeneous intelligence model deep learning unit that receives the heterogeneous domain measurement data to train a heterogeneous intelligence model, a target intelligence model deep learning unit that receives the heterogeneous intelligence model and the target domain measurement data to train a target intelligence model, and a target gas detection unit that determines whether an environmental gas includes the target gas using the target intelligence model.

公开(公告)号：US20220187262A1

公开(公告)日：2022-06-16

申请号：US17513567

申请日：2021-10-28

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： YongWon JANG ,  Hwin Dol PARK ,  CHANG-GEUN AHN ,  Do Hyeun KIM ,  Seunghwan KIM ,  Hyung Wook NOH ,  Kwang Hyo CHUNG ,  Jae Hun CHOI

IPC: G01N33/00 ,  G06N3/04

Abstract: Disclosed are a device and a method for anomaly detection of a gas sensor. The device includes a measuring unit that extracts a characteristic of a gas supplied from the outside, generates data based on the extracted characteristic, and outputs the data, and a data processing unit that receives the data, determines whether an error occurs in the data, and outputs an anomaly detection result based on a result of determining whether the error occurs in the data. The measuring unit performs a calibration operation or an environment adjusting operation before extracting the characteristic, and the data processing unit determines whether the error occurs in the data, based on machine learning.

公开(公告)号：US20170053553A1

公开(公告)日：2017-02-23

申请号：US15242038

申请日：2016-08-19

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： YongWon JANG ,  Seunghwan KIM

IPC: G09B19/00 ,  G06N3/08 ,  G09B5/12

CPC classification number: G06N3/08 ,  G06N3/02 ,  G16H20/30 ,  G16H50/20

Abstract: Provided is a method for measuring calorie consumption of an activity monitoring system, includes collecting calorie consumption data from at least one sensor worn by a user, classifying an activity type of the user corresponding to the calorie consumption data, classifying an intensity of the activity type and calculating calorie consumption corresponding to the intensity of the activity type.

Abstract translation: 提供了一种测量活动监视系统的卡路里消耗量的方法，包括从至少一个由用户佩戴的传感器收集卡路里消耗数据，对与卡路里消费数据相对应的用户的活动类型进行分类，分类活动类型的强度 并计算与活动类型的强度对应的卡路里消耗。

公开(公告)号：US20220170900A1

公开(公告)日：2022-06-02

申请号：US17401449

申请日：2021-08-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jae Hun CHOI ,  Hwin Dol PARK ,  Chang-Geun AHN ,  Do Hyeun KIM ,  Seunghwan KIM ,  Hyung Wook NOH ,  YongWon JANG ,  Kwang Hyo CHUNG

IPC: G01N33/00 ,  G06N20/20

Abstract: Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.