07 October 2016 / Getting_Started / Maven / Java / Sonatype / Howto
This post is part of a multipart series about creating a graph off all available Maven dependencies. Resolving maven dependencies is something we in general leave to our dependency management system, Maven, Ivvy, …. For the purpose to the application we are developing we required a detailed control on how the the dependencies are resolved and the JSon representation of this sub-graph. I start off with a short intro on where to find documentation on the Maven resolving mechanism and then go into the details for each of the parts that are required to do so.
07 October 2016 / Maven / Java / Howto / Github / neo4j
This post is part of a multipart series about creating a graph off all available Maven dependencies. This article describes the drivers behind and the implementation of the Unmanaged Neo4j Extension written for our Maven graph analysis. When a the processing cluster is sending the sub graphs that need to be merged into a single database locking issues will occur. We opted to use a queuing mechanism to prevent. From the choices we had to implement this as a component for the Neo4J server we choose to this as a unmanaged extension.
16 April 2016 / fun / Machine_Learning / Scala / hackathon
This week Smart Technologies organized a Hackathon. The allotted time to solve the challenge is 5 hours. Unfortunate we (Casper Koning and myself) came in second. But according to the jury the first three placed teams performed equal. (The winning team implemented a “nicer” concept.) ##The Problem The Dutch railways are looking into a solution for counting the passengers in the cabin of trains. This information is used in multiple ways, one of them is a indicator on the platform.
13 January 2016 / Java / Machine_Learning / Scala / Github
Video of code & comedy Recently Casper Koning and myself did a presentation about machine learning and motion sensors titled: Are you doing it the right way. The presentation explains the steps we have taken on how to utilize a motion detector and machine learning to predict the execution of an exercise. The general idea behind it is that when a subject does a exercise a feedback is required in order to do it efficiently and correctly.
08 December 2015 / fun / sailing / ignite
In addition to the Ignite session I gave at JFall 2015 a collected a list of interesting links for all to look at. Not all links are related to high speed sailing but sailing in general. I you have any questions just send me an email and i will respond as quickly as possible. My Talk on Youtube // Load the IFrame Player API code asynchronously. var tag = document.