公开(公告)号：US20220328199A1

公开(公告)日：2022-10-13

申请号：US17719600

申请日：2022-04-13

Applicant: Electronics and Telecommunications Research Institute

Inventor： Soon Hyun KWON ,  Se Jin PARK ,  Jae Hak YOO ,  Jong Arm JUN ,  Cheol Sig PYO

IPC: G16H50/70 ,  G16H50/30 ,  G06F16/2457 ,  G06F16/25 ,  G06F16/28

Abstract: Provided is a system for predicting disease based on biosignal data and medical knowledge base convergence. The system includes a first system unit configured to receive, from a user terminal, biosignal data collected from at least one sensor for sensing a biosignal, and calculate a disease score from the biosignal data based on a pre-trained prediction model, a second system unit configured to provide medical knowledge data for the first system unit, analyze a query input from the user terminal to provide a corresponding response, and augment the medical knowledge data based on the query and response; and a unified distributed repository that includes a database for enqueuing the biosignal data, a manager database for storing additional information of a user, and a medical knowledge base for storing predetermined medical knowledge data.

公开(公告)号：US20220375618A1

公开(公告)日：2022-11-24

申请号：US17741151

申请日：2022-05-10

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jae Hak YU ,  Soon Hyun KOWN ,  Se Jin PARK ,  Jong Arm JUN ,  Cheol Sig PYO

IPC: G16H50/30 ,  G16H50/20 ,  G16H10/60

Abstract: A method of calculating a comprehensive disease index (CDI) is disclosed. The method includes analyzing pieces of medical data to calculate a disease risk value, analyzing pieces of vital data and vital data mapped to standard clinic guideline data among the pieces of vital data to calculate a disease severity value, and analyzing the disease risk value, the disease severity value, and medical knowledge information obtained from a medical knowledge base to calculate the CDI.

公开(公告)号：US20160330820A1

公开(公告)日：2016-11-10

申请号：US15147031

申请日：2016-05-05

Applicant: Electronics and Telecommunications Research Institute

Inventor： Yoon Mee DOH ,  Jong Arm JUN ,  Tae Wook HEO

IPC: H05B37/02 ,  G05B17/02

CPC classification number: G05B17/02 ,  H05B37/0218 ,  Y02B20/46

Abstract: A device and method for controlling lighting based on an illuminance model. The method for controlling lighting based on an illuminance model includes modeling actual illuminance measured by one or more illuminance measurement devices; generating a lighting profile based on the illuminance model; and controlling one or more lighting devices for each lighting scene according to the generated lighting profile.

Abstract translation: 一种基于照度模型控制照明的装置和方法。 基于照度模型控制照明的方法包括对由一个或多个照度测量装置测量的实际照度进行建模; 基于照度模型生成照明轮廓; 以及根据生成的照明轮廓来控制每个照明场景的一个或多个照明装置。

公开(公告)号：US20150208464A1

公开(公告)日：2015-07-23

申请号：US14602570

申请日：2015-01-22

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Tae Wook HEO ,  Hyun Hak KIM ,  Jeong Gil KO ,  Yoon Mee DOH ,  Jong Jun PARK ,  Jong Arm JUN

IPC: H04W84/18

CPC classification number: H04W84/18 ,  H04W4/70

Abstract: According to a sensor network system and a method for processing sensor data, a sink node collects sensor data from sensor nodes, performs a prediction algorithm which is the same as a prediction algorithm performed in the sensor node to obtain a prediction value, when a sensing value is received from the sensor node, updates the prediction value to the sensing value, stores the sensing value as sensor data, determines whether the sensor node is a representative node when the sensing value is not received from the sensor node, and stores the prediction value as sensor data if the sensor node is the representative node, and corrects the prediction value based on the sensing value of a representative node and stores the corrected prediction value as sensor data if the sensor node is not the representative node.

Abstract translation: 根据传感器网络系统和传感器数据处理方法，宿节点从传感器节点收集传感器数据，执行与传感器节点中执行的预测算法相同的预测算法，以获得预测值，当检测 从传感器节点接收到的值，将预测值更新为感测值，将感测值存储为传感器数据，当感测值未从传感器节点接收时，判断传感器节点是否为代表节点，并存储预测 如果传感器节点是代表性节点，则作为传感器数据值，并且如果传感器节点不是代表性节点，则基于代表性节点的感测值来校正预测值并将修正的预测值存储为传感器数据。