Adaedge: A dynamic compression selection framework for resource constrained devices
With the Internet of Things (IoT), a vast number of connected devices generate significant
data, necessitating efficient compression techniques to manage storage costs and enhance …
data, necessitating efficient compression techniques to manage storage costs and enhance …
Why model-based lossy compression is great for wind turbine analytics
Modern wind turbines are equipped with wired high-quality sensors that produce high-
frequency sensor data in the form of time series as shown in Figure 1 a. From working with …
frequency sensor data in the form of time series as shown in Figure 1 a. From working with …
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium
Abstract The 27th European Conference on Advances in Databases and Information
Systems (ADBIS) aims at providing a forum where researchers and practitioners in the fields …
Systems (ADBIS) aims at providing a forum where researchers and practitioners in the fields …
[PDF][PDF] Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB
A Abduvakhobov, SK Jensen, TB Pedersen… - 2024 - vbn.aau.dk
Modern wind turbines are monitored by sensors that generate massive amounts of time
series data that is ingested on the edge before it is transferred to the cloud where it is stored …
series data that is ingested on the edge before it is transferred to the cloud where it is stored …
[PDF][PDF] Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB [Scalable Data Science]
A Abduvakhobov, SK Jensen, TB Pedersen… - vbn.aau.dk
Modern wind turbines are monitored by sensors that generate massive amounts of high
frequency time series that are ingested on the edge and then transferred to the cloud where …
frequency time series that are ingested on the edge and then transferred to the cloud where …