Deadline to register is Jun 15, 2019.
Teams can still edit your proposals during judging period.

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📁Other: Robotics
👤Felix von Hundelshausen (Hundelshausen International Scool of Robotics)
📅Mar 19, 2019
to be done
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👀 22   💬 0
📁Digital Design
👤Daryna Dyka (National University of Kyiv)
📅Apr 24, 2019
Successive-approximation-memory (SAM) analog-to-digital converter (ADC)
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👀 41   💬 0
📁Other: Measuring device
👤Volodymyr Petrushak (Khmelnitskiy national university)
📅Mar 27, 2019
The measuring device is designed to measure the dynamic viscosity of Newtonian fluids. The device will include: a mechanical system, a phase-frequency converter, an information processing device, and an information display device.
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👀 23   💬 0
📁High Performance Computing
👤Hossam Omar (Independent)
📅Apr 02, 2019
Many regions, all over the world nowadays, are suffering severely from several contemporary issues that without a doubt are hindering the overall world progressions toward reaching a more prosperous economic status. Moreover, most of these issues are related directly to the failure of monitoring the borders thoroughly.
The main goal of this project is to propose an appropriate Artificial Intelligence (AI) based solution that could substantially increase the efficiency of border monitoring by creating a wireless network using ultra-low power nodes that could capable to detect any suspicious intruding behaviors. The architecture of the proposed project depends on three main stages: The sensory data fusion stage; The biological inspired Fuzzy Logic (FL) system; and the Wireless Sensor Network (WSN) interface stage.
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👀 33   💬 0
📁Machine Learning
👤Alexander Beasley (University of Bath)
📅Apr 13, 2019
In a world that is ever reliant on communication it is increasingly important to be able to isolate and remove sources of interference. This project will use bio inspired algorithms to rapidly identify the radiation sources and track their location. Machine learning enables the system to develop its understanding of what constitutes a radiation source using historic data.
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👀 19   💬 0