Staphylococcus aureus is a bacterium which people have been in contact with for thousands of years. Its presence often leads to severe disorders of the respiratory and circulatory systems. The authors of this article present a prototype of a textronic sensor enabling the detection of this bacterium. This sensor was created using a process of physical vacuum deposition on a flexible textile substrate which can be implemented on clothing. With increasing numbers of bacterial colonies, changes in the sensor’s electrical parameters were observed. The sensor’s resistance reduced by 50% and the capacitance more than doubled within the first two days of starting bacterial cultures. Extensive changes in electrical parameters were observed at 100 Hz and 120 Hz of the measurement signal.

This document describes general information about web personalization and using third party services for cookie matching.

This letter presents an incremental algorithm to generate triangle meshes from Light Detection and Ranging (LiDAR) point clouds with mesh refinement. The algorithm produces triangle mesh directly from LiDAR output without storing a dense point cloud to create a high-quality triangle mesh. In our algorithm, as the number of captured points increases during the LiDAR operation and robot movement, the new scan points from the LiDAR output refine or extend the existing triangle mesh. Such an approach is suitable for computationally-constrained systems like aerial vehicles, mobile robots, and smartphones, as it requires relatively limited resources. Our algorithm can reconstruct the topology of city-sized scenes maintaining a maximum triangle mesh error below 2 cm much faster than state-of-the-art triangle mesh generation algorithms that we demonstrate on publicly available data sets.

This paper deals with simulation research of telecommunication networks and their's traffic, development of models for network load prediction for improving their performance. For this purpose use discrete event simulator OMNeT++ was used. To test proposed Ateb-prediction method, two different topologies of computer networks were chosen. Some imitation experiments were presented.