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In the below videos you can watch a tutorial about data quality for metrology in sensor networks, and a tutorial on how to use open-source software tools in sensor network applications.
1. Data Quality and Uncertainty in Sensor Networks
Join Mads Johansen, FORCE Technology, Denmark, for an introduction to data quality and uncertainty in sensor networks from a metrological perspective. This tutorial explores the key challenges facing IoT and large-scale sensing systems, from calibration limitations to the role of metadata and data-driven quality assessment. Ideal for researchers, engineers, metrologists, and practitioners, it offers practical insight into how sensor data can become more trustworthy, reliable, and useful.
2. In Situ Calibration Methods for Multi-Wire Platinum–Rhodium Thermocouples
Join Jonathan Pearce, National Physics Laboratory (NPL), UK, for a tutorial on innovative in situ calibration methods for multi-wire platinum–rhodium thermocouples. Focusing on high-temperature and harsh industrial environments, the session presents physical, semi-physical, and data-driven approaches to correcting sensor drift and improving temperature accuracy. It is especially relevant for engineers, scientists, metrologists, and researchers working with thermocouples, calibration, and advanced temperature measurement.
3. MET4FOF Framework for Sensor Network Applications
Join Dr. Anupam Prasad Vedurmudi, Physikalisch-Technische Bundesanstalt (PTB), Germany, for a practical introduction to using the open-source MET4FOF framework for sensor network applications. Based on an open-source dataset, the tutorial demonstrates common analysis tasks such as anomaly detection, data aggregation, aggregation under correlated conditions, and online machine learning. It is ideal for researchers, engineers, and practitioners seeking practical methods and open-source tools for sensor network data analysis.