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GlossoVR is a virtual reality (VR) application that combines training in public speaking in front of a virtual audience and in voice emission in relaxation exercises. It is accompanied by digital signal processing (DSP) and artificial intelligence (AI) modules which provide automatic feedback on the vocal performance as well as the behavior and psychophysiology of the user. In particular, we address parameters of speech emotions, prosody and timbre, and the user's hand gestures and eye movement. The prototype is in the proof of concept phase, and we are developing it in accordance with the user-centered design paradigm. In this article reports the work in progress, focusing on the approaches, datasets and algorithms applied in the current state of the glossoVR project.

For many years in the Department of Automobiles and Internal Combustion Engines at Kazimierz Pulaski University of Technology and Humanities in Radom there are carried out investigations on dual-fuel combustion system in a compression ignition engine. The majority of literature reviews, as well as the authors' studies were limited to the older generation engines, i.e. naturally aspirated engines that are not equipped with the exhaust gas recirculation system. The paper presents results of investigations on a turbocharged engine equipped with an EGR system. The authors tried to assess the effect of the recirculation ratio on engine performances (mainly the mean effective pressure and the engine overall efficiency as well as exhaust emissions). The obtained results indicate that it is possible to apply high energy shares of the gaseous fuel maintaining at the same time high engine overall efficiency and visibly reducing the particulate matter emission. It was also noticed that the NOx emission may be visibly reduced introducing the exhaust gas recirculation system. Unfortunately, an increase of the gaseous fuel energy share results in slightly higher hydrocarbon and carbon monoxide emissions.

A few years ago, Konopsky showed that a one dimensional photonic crystal structure can be used on one side of a thin metal layer to mimic the optical properties of the material on the other side. Inspired by this approach and motivated by using LRSPP waveguides for biosensing, we propose and realized a thin metal stripe on a truncated SiO 2 /Ta 2 O 5 multilayer stack to support a fully guided LRSPPs. These results further the attraction of metal stripe waveguides and LRSPPs for biosensing applications and more in general for LRSPP integrated optics.

We experimentally characterize a plasmonic waveguide and demonstrate its capability of transmitting an optical signal at 49 Gbit/s. The 3.6-mm long gold strip embedded in Cytop polymer exhibits 13.2 dB optical insertion loss.