This paper discusses the necessity of fake news detection and how selected features can show differences between trustworthy and fake news. To demonstrate this concept, we first identified a set of features, that we believe can distinguish between fake and trustworthy news. We used these features to analyse two real datasets and evaluated our results in various ways. We first used visual analysis by means of boxplots and evidenced the significance of differences by means of the Wilcox singed-rank test. As next, we used three different classification algorithms to train models for distinguishing between trustworthy and fake news using all important features. Finally, we used Principal Component Analysis (PCA) to visualize relations between identified features.

This work solves the comparison of two different thermal stress times for selected liquid insulation materials based on transformer oils by impedance spectroscopy. Research is focused on actual and progressive liquid insulation materials. The scientific objectives of the experiment are focused on the determination of hypotheses, defined by predictable electrophysical parameters in experimental conditions, which are described in the analysis of the measured results.

This article deals with the implementation and experimental verification of the suitability of the TinyIPFIX protocol for data transmission in the Internet of Things environment. The work was devoted to the creation of three main components, namely TinyIPFIX exporter, collector, and mediator. The implementation of these tools made it possible to extend the possibility of monitoring a common network with an IoT environment. The experiments confirmed the success of the implementation of the protocol based on standards and pointed out the suitability of the implementation of the TinyIPFIX protocol mainly due to its optimized processes, which save up to 72% of bandwidth consumption compared to the IPFIX protocol when transmitting one data unit. Thanks to the modular approach during implementation, it is possible to deploy the protocol in the environment regardless of the transport technology. The created solution can therefore also be used in UAV sensor networks.

Detection, localization, and tracking of people in 2D or 3D space using Ultra-wideband (UWB) short-range sensors is a subject of worldwide intensive research. In this paper, we describe a proposal for a novel software called UWB-PerLoc-2D3D. This software has been created in a MATLAB programming environment and designed to process UWB radar signals for the purpose of movement monitoring of human targets in 2D and 3D space. We present an evaluation of the proposed software properties as well as examples of its utilization in practice.

Wavelength Division Multiplexing is a technology that has enabled the transmission of huge amounts of data at high transfer rates over a single optical fiber. The capacity of an optical channel is usually affected by the shape of signal, nonlinear characteristics and dispersion. In this article, we focus on the DWDM system, optical amplifiers, and optical modulations in 32-channel DWDM system, which was designed in the OptiSystem program. We evaluate the parameters BER (Bit Error Rate) and Q factor for 40 Gb/s systems with changing amplifiers.

The purpose of this publication is to create and correctly analyse a secondary RF line for a hybrid FSO/RF system. Since we want to ensure almost 100% functionality, the design of a secondary RF line is very important. In our case, we have chosen two types of antennas. First, it was a helical antenna that achieves a high level of efficiency and much smaller dimensions compared to horn antennas. The second type was just a horn antenna. Its advantages are high efficiency, high gain, and narrow width of radiation angle. However, large disadvantages are dimensions and the price of these antennas. However, in both cases, we can say that these antennas are suitable for deployment to our hybrid FSO/RF system.