EXCELL foresees the collaboration of academics from 4 European countries (Hungary, Germany, UK, Belgium) in the multidisciplinary topic of Big Data Applications for Cyber-Physical Systems in Production and Logistics Networks. The main scientific and innovation focus of EXCELL was devised both from world-wide tendencies and local requirements (expressed by the regional smart specialization strategies-S3), departing from the present competences of the cooperating partners (SZTAKI, Fraunhofer-FIT, Aston and KU Leuven).
With the advent of Industry 4.0, production processes have been endowed with intelligent cyber-physical systems generating massive amounts of streaming sensor data. Internet of Things technologies have enabled capturing, managing, and processing production data at a large scale in order to utilize this data as an asset for the optimization of production processes. In this work, we focus on the automatic detection of physical defects in the production of surfacemount devices.
We argue that Genetic Improvement can be successfully used for enhancing road trac data mining. is would support the relevant decision makers with extending the existing network of devices that sense and control city trac, with the end goal of improving vehicle ow and reducing the frequency of road accidents. Our position results from a set of preliminary observations emerging from the analysis of open access road trac data collected in real time by the Birmingham City Council.
Web security fundamentals course: one of most popular moocs started in october 2017.
On October 3rd, DistriNet launched the Web Security Fundamentals course. The free online course started with about 4000 people joining from all over the world. Because of this huge interest, the course is one of the ten most popular course on Class Central this month.