A machine learning guided system for automatically processing data from an array of wireless sensors

TitleA machine learning guided system for automatically processing data from an array of wireless sensors
Publication TypeConference Paper
Year of Publication2018
AuthorsRamirez G, Peters DC, Anderson J
Conference NameInternational Conference on Complex Systems
Date Published07/2018
Conference LocationCambridge, Massachusettes
ARIS Log Number357573
Abstract

We present a system that automatically processes data from an array of remote sensors in a wireless network and makes these data available online. Our system automatically performs QA/QC using the GCE LTER Data toolbox for Matlab. Additionally, the GCE toolbox help us to manage metadata and data in multiple formats. Users can explore data with tools to graph, select stations, variables, and time. We have connected this QA/QC process with our Knowledge, Learning, and Analysis System (KLAS) to allow users to perform experiments with the data collected. KLAS can learn from users’ behavior using machine learning to serve as a guide during the process of approving provisional data and during the experimentation process by making recommendations. KLAS can help the scientific community to reuse data, methods, and models.