Celebrating IoTDay with new video tutorials
Celebrating IoTDay the IoTCrawler present two (out of five) planned video tutorials, which will make it easier to implement IoTCrawler in to new systems beyond the project. The first two tutorials are "A General Introduction to the IoTCrawler Architecture" and...
Partner meeting not in Murcia, but at a social distance
The Covid-19 world crisis sadly made it impossible for the partners to meet as planned in Murcia March 17th - 18th.A productive 1-day meeting had to make due and much was discussed on the advanced prototypes being developed in all partner countries. What remains to...
Smart Connect MVP launched
IoTCrawler functionality applied to actual Smart HomesThe team from AGT international has succesfully integrated the Smart Connect Feature into the GrowSmarter Dashboard, and made it available to the public. Currently about 60 homes are connected and 35 homes are...
The use for IoTCrawler in the energy sector: Smart Energy Siemens
The Siemens Smart Energy use case aims at contributing to the stability of the future power grid. The approach relies on a crowd-based aggregation and usage of so-called flexibilities. Flexibilities are intended deviations from actual consumption or production of...
“A prototype that show how we can improve the data integration process in the Smart Home domain”
Interview with Data Scientist Stefaniia Legostaieva, AGT International What is your role in developing the AGT demo? We already worked with the Smart Home testbed before the IoTCrawler project started and a lot of the knowledge and user insights we started to gather...
“The IoTCrawler has the potential of improving the researchers’ way of doing science and innovation”
Aurora Gonzalez is one of the PhDs funded in part by the IoTCrawler. She started her thesis: “Data analytics algorithms for IoT based smart environments” in November 2015. In December 2019 she will be presenting the result - a compendium of six articles, providing...
“How FAIR are data in industry?”
At the Focus on Open Science Workshop "Focus on FAIR" in Graz, Austria, The IoTCrawler was representend by Josiane Parreira from Siemens. In a panel debate she argued how the development of the IoTCrawler will enable data from the industry to be FAIR (Findable,...
Deep learning using The Kalman Optimiser
“Continual Learning in Deep Neural Network by using a Kalman Optimizer" is an article with strong ties to the IoTCrawler published by Honglin Li., Shirin Enzhaifar, Frieder Ganz and Payam Barnaghi from University of SurreyLearning and adapting to new distributions or...
“Sensors are everywhere, but it is difficult to get all the information and data from them”
Roonak Rezvani is a PhD student from University of Surrey funded in part by the IoTCrawler and the European Union’s Horizon 2020 research and innovation program. She started her thesis in April 2019. The title of her thesis is: “Timeseries- and sequence data...