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ITEA is the Eureka Cluster on software innovation
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Sensor error detection

Project
19045 STACK
Type
New service
Description

This result is a sensor anomaly detection system for contextual and formal errors.

Contact
Hyunwoo Jung, Youngki Lee
Email
youngkilee@snu.ac.kr
Research area(s)
Sensor Anomaly Detection
Technical features

Anomaly detection, Supervised outlier detection

Integration constraints

Use of an IoT system with multiple sensors and a small amount of anomaly data from the system

Targeted customer(s)

IoT System Maintainers

Conditions for reuse

None

Confidentiality
Public
Publication date
06-12-2022
Involved partners
Seoul National University (KOR)