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2 Annals of Computer Science and Information Systems

2 2017

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Virtual laboratory based on node.js technology and visualized in mixed reality using Microsoft HoloLens

Stark Erich, Bisták Pavol, Kučera Erik, Haffner Oto, Kozák Štefan

Annals of Computer Science and Information Systems

2017

Vol. 13

315--322

The paper demonstrates remote control of test experiment in the virtual laboratory. This is a common problem, but another way can always be used to solve it. The paper compares several existing virtual laboratories and their possible issues at present. To develop such a new solution JavaScript technology was used on both client and server side using Node.js runtime. The modern approach is a visualization of received data in mixed reality using Microsoft HoloLens or another compatible device with Windows Mixed Reality platform.

Application of pattern recognition for a welding process

Haffner Oto, Kučera Erik, Kozák Štefan, Stark Erich

Annals of Computer Science and Information Systems

2017

Vol. 13

3--8

The paper deals with the development of a system for automatic weld recognition using new information technologies based on cloud computing and single-board computer in the context of Industry 4.0. The proposed system is based on a visual system for weld recognition, and a neural network based on cloud computing for real-time weld evaluation, both implemented on a single-board low-cost computer. The proposed system was successfully verified on welding samples which correspond to a real welding process in the car production process. The system considerably contributes to the welds diagnostics in industrial processes of small- and medium-sized enterprises.