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An overview of my latest posts regarding technology, deep learning and (web) development.

On this page I keep track of my current Smart Home setup, built around Home Assistant, Deconz and Node-RED. So, if you are interested in my setup please read on. The list of devices I use has grown organically over time, sometimes based on a certain need (like a proper...

In a previous post I showed a wake-up light using Home Assistant and the default YAML configuration. In this post I’ll show my current setup which makes use of Node-RED. As with my previous system, this wake-up light’s function is to light up my complete bedroom just before I need...

In the previous post I talked about getting started with generative adversarial networks (GANs) and applied these types of networks to the MNIST dataset. In that application we limited ourselves to 1D black-and-white images which are fairly easy for a network to learn. Eventually though, we want to switch to...

Generative Adversarial Networks (GANs) are one of the hot topics within Deep Learning right now and are applied to various tasks, ranging from un/semi-supervised learning to generating images. These networks were originally introduced by Ian Goodfellow et al. in 2014: We propose a new framework for estimating generative models via...

Most of my food projects are first published on Instagram. Some interesting ones I also post here with a full recipe. For this I required a fast and (most importantly) simple way to add Instagram posts to a Jekyll blog. For this I created a shell script that can automatically...

It has been over two years since the last full update of my website itself and it was time for an upgrade! I started from scratch and rebuild the whole underlying Jekyll structure and all of the CSS. The main goal was to create a new fresh design while keeping...

During the joint conferences of the IEEE International Conference on the Internet-of-Things Design and Implementation (IoTDI) (website) and the IEEE International Conference on Cloud Engineering (IC2E) (website) I presented my work on indoor localisation and SLAM: The indoor localisation problem is more complex than just finding whereabouts of users. Finding...

This post is the first in a series of (micro) optimizations I did to my Jekyll blog. Each post will focus on a single optimization and shows how you can apply this to your own (Jekyll) blog. Some of these posts will be focussed primarily on blogs using Jekyll and...

Jenkins is a great tool for continuous integration and deployment. In a sense, and greatly simplified, it is a very complex and feature rich task runner. I already use it for testing development applications (e.g. with Mocha, PHPUnit, etc.) but was wondering whether it could also keep track of applications...

When I can, every javascript project I start makes use of the new ES2015 (or ES6) standard. The features (better classes, arrow functions, etc.) are just to good to ignore, and, using a transpiler such as Babel, code can be made compatible with older browsers and systems. For private projects...

If you have heard about iBeacons or indoor localization before, then you have probably also heard about RSSI: the Received Signal Strength Indicator. The RSSI value resembles the power of a received radio signal (measured in dBm). The higher the RSSI value, the higher the signal strength. The rationale behind...

A key problem (or challenge) within smart spaces is indoor localization: making estimates of users’ whereabouts. Without such information, systems are unable to react on the presence of users or, sometimes even more important, their absence. This can range from simply turning the lights on when someone enters a room...

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