About

See also: Latest Design, Current Status.

I’m doing this as a hobby project, but as I live in a seismically active area (Garfagnana, Italy), I also have an ulterior motive.

The timescale I have in mind is a couple of years, from late 2016.

Although this might eventually yield a paper or two, for now I’ll just keep informal notes on this blog. Further down the road I plan to put some services online.

I’m putting code, docs etc. up on github.

Any written material/images/circuits etc. may be considered under a Creative Commons Attribution License, any code under an MIT License (if you want to use anything and the licensing is a problem, let me know, I’ll happily tweak).

Overview

It has been observed that major seismic events may be preceded by anomalies in natural radio signals, notably those <20kHz (the ELF/VLF frequency bands).

The aim of this project is to develop inexpensive hardware and software capable of capture and analysis of radio and seismic data. Effectively Internet of Things (IoT), better still, Web of Things (WoT) subsystems. That’s the easy bit.

The hard part is the idea of providing useful earthquake prediction.

The key, novel, intuition here is that Deep Learning techniques may expose patterns in the wildly noisy signals of the Earth. We’ll see.

I’m Danny Ayers, usually a (Semantic) Web developer/consultant. But living in a seismically active part of northern Italy led me toward this stuff.

I’m in the process of setting up a site to place all my material. That’ll be at hyperdata.it