Teaching and learning more abstract subjects, such as computer networks, where higher level of student's imagination is necessary to understand advanced topics can be positively supported trough a technique called visual learning. Students can more easily understand and adapt the information from the subject, when they can visually see how it really works. Teachers can present the subject using animations and practical examples, rather than just talking about theory facts. This paper presents the features of a visual learning tool called Packet Tracer - a computer networks simulator, which is freely available for all Cisco Networking Academy students.

In the paper we present a method for anomaly detection in user's activities utilizing data from unobtrusive sensors. A service for a smart-home environment using this method adapts to behaviour of a user and may provide alarms to a carer or other responsible person if unusual activity is detected. As an unusual activity we consider: long periods of inactivity, lacking activity, unusual presence and changes in daily activity patterns. Anomaly detection is based on a composition of unsupervised classification technique Self Organizing Maps and next activity prediction employing Markov model. Finally we present a short experimental study realized on a dataset provided by MavHome project.

In this paper the real size of the object from a static digital image is estimated. The analysis of selected algorithms used in the area of computer vision is carried out, this includes introduction of the software tools efficient enough to measure the object size. Proposed solution has to be in compliance with the conditions for correct processing of obtained information, such as a suitable scene for measuring and correct adjustment of the camera. The final software solution calculates the estimated size of measured object while utilizing substitution variables that were created for this purpose. Such variables are based on the acquired images and their subsequent processing.

This paper presents a new approach to use of the animations as a tool for education. Our approach is focused on the methodology of designing the animation rather than on the study whether it is or is not beneficial in the educational process. We will introduce the animation as a tool, present commonly used tools for development and then introduce a basic technique for developing an animation. Education is the most powerful mean to improve the understanding and the ability to perceive the world, therefore its resources should be used wisely.

The paper is focused on the development of the experimental web-based solution for image processing from the perspective of an Unmanned Aerial Vehicle (UAV). Specifically, the research is carried out as part of the broader study on drone utilization in traffic at the Technical University of Kosice. This contribution explores the possibility of using the UAV as a tool to detect the temporal state of the traffic in multiple locations. Road traffic analysis is enabled through the detection of vehicles from the user-defined region of interest (ROI). Its content then serves as the input for motion detection, followed by the detection of vehicles using the YOLOv4 model. Detection of other types of objects is possible, thus making the system more universal. The vehicle is tracked after recognition in two consecutive frames. The tracking algorithm is based on the calculation of the Euclidean distance and the intersection of the rectangles. The experimental verification yields lower hardware requirements for CPU and GPU by about two FPS when using optimization techniques, such as ROI or reference dimensions of objects. The accuracy of detection and the subsequent tracking of cars reaches almost 100% while providing accurate trajectory determination.

In this paper, the comparative analysis of dynamic routing protocols EIGRP and OSPF is presented. The objective of analysis was to determine which routing protocol is converging faster. For testing, three approaches were used, namely simulation using OPNET simulator, emulation using GNS3 emulator and testing using real devices. Network topology that was used for testing purpose provide three possible paths between source and destination device. Generating large amount of echo request messages and observing echo reply message before and after link failure provide time needed to achieve convergence in network. Comparing the results obtained using real devices and simulator / emulator showed some shortcomings of OPNET and GNS. From the test results, it can be said that the dynamic routing protocol EIGRP is converging faster. This protocol is therefore more suitable for implementation in production infrastructures.