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This paper deals with the possibility of creating virtual C # models connectable to a virtual PLC of Siemens. The models will lead to the improvement and simplification of the online PLC education. Hardware solutions cost a lot of money, while using a software version of PLC leads to cheaper simulations. Paper presents the design and implementation of the virtual models, including the ways of the interconnection with PLCSIM, visualization and finally demonstration for the selected virtual model.

In a few past years, a lot of cyber-attacks on industrial systems were accomplished. The main point of vulnerability of industrial control systems (ICS) is their connection to the Internet. Standard ICS rely on local solutions; however, with the revolution in the shape of Industry 4.0 concept, there are only a few industrial sectors with no connection to the global network. Some researchers have revealed critical vulnerability of the control systems. In this paper, we briefly summarize the current situation, and introduce our solution to the check of changes in PLC via other nodes in industrial network. The way how to do it is possible through using a checksum of actual code, and comparing with the checksums stored in other nodes.

According to several studies, the European population is rapidly aging far over last years. It is therefore important to ensure that aging population is able to live independently without the support of working-age population. In accordance with the studies, fall is the most dangerous and frequent accident in the everyday life of aging population. In our paper, we present a system to track the human fall by a visual detection, i.e. using no wearable equipment. For this purpose, we used a Kinect sensor, which provides the human body position in the Cartesian coordinates. It is possible to directly capture a human body because the Kinect sensor has a depth and also an infrared camera. The first step in our research was to detect postures and classify the fall accident. We experimented and compared the selected machine learning methods including Naive Bayes, decision trees and SVM method to compare the performance in recognizing the human postures (standing, sitting and lying). The highest classification accuracy of over 93.3% was achieved by the decision tree method.

Quality and Dynamic Characteristics of Control System Visualization in Control WebProgress of information technologies and their applications create the necessary need to explore the analysis of techniques to estimate the impact of architecture control system on dynamic characteristics of control. Major impact factors on dynamics and quality of visualization, control modes selection and impact analysis are described in the article.

Event Processing and Variable Part of Sample Period Determining in Combined Systems Using GAThis article deals with combined dynamic systems and usage of modern techniques in dealing with these systems, focusing particularly on sampling period design, cyclic processing tasks and related processing algorithms in the combined event management systems using genetic algorithms.