The Nuclear Power Plant Environment Monitoring System through Mobile Units

This article describes the information system for measuring and evaluating the dose rate in the environment of nuclear power plants Mochovce and Bohunice in Slovakia. The article presents the results achieved in the implementation of the EU project–Research of monitoring and evaluation of non-standard conditions in the area of nuclear power plants. The objectives included improving the system of acquisition, measuring and evaluating data with mobile and autonomous units applying new knowledge from research. The article provides basic and specific features of the system and compared to the previous version of the system, also new functions

Mathematical Approach to Security Risk Assessment

The goal of this paper is to provide a mathematical threat modeling methodology and a threat risk assessment tool that may assist security consultants at assessing the security risks in their protected systems/plants, nuclear power plants and stores of hazardous substances: explosive atmospheres and flammable and combustible gases and liquids, and so forth, and at building an appropriate risk mitigation policy. The probability of a penetration into the protected objects is estimated by combining the probability of the penetration by overcoming the security barriers with a vulnerability model. On the basis of the topographical placement of the protected objects, their security features, and the probability of the penetration, we propose a model of risk mitigation and effective decision making

UML Support for Reliability Evaluation

Abstract. Today's software systems are developed and targeted for satisfying sometimes very critical functions. Reliability is considered to be one of the most important nonfunctional quality attribute of such software systems. The aim of reliability estimation in early stages of software development process -analysis and design -should reduce the future costs for possible failure repairing through increasing the reliability before the construction of the software system. Because, the Unified Modeling Language (UML) becomes the standard for software system's specification, the last works done in architecture based reliability estimation and assessment use UML as the base for software architecture specification. In this paper, we discuss the existing approaches with critical overview and outline the directions for future research

ARM-Based Universal 1-Wire Module Solution

Sensory networks are part of a solution to monitor the required physical variables in the area of interest. Their type, the used communication protocol, plays an important role in the parameter of their complexity. One of the economical solutions is the usage of a 1-wire communication network that requires only 2 physical wires. The individual sensors or the nodes of the communication network are connected in parallel. The goal was to design and implement a universal low-power 1-wire bus module with a fully implemented 1-wire standard. As a platform for the development of such module, STM32-based microcontroller was chosen. The main advantage of this solution is the ability to utilize a sensor from a large variety of available sensors with a standardized communication interface. Our solution of the universal 1-wire module provides a single interface for sensors with different communication interfaces, while it still communicates with the standard 1-wire bus controller

Duffing-Type Oscillator with a Bounded from above Potential in the Presence of Saddle-Center Bifurcation and Singular Perturbation: Frequency Control

We analyze the dynamics of the forced singularly perturbed differential equations of Duffing’s type with a potential that is bounded from above. We explain the appearance of the large frequency nonlinear oscillations of the solutions. It is shown that the frequency can be controlled by a small parameter at the highest derivative

A Student-Oriented University Ontology

status: publishe

Mitigation against DDoS Attacks on an IoT-Based Production Line Using Machine Learning

Industry 4.0 collects, exchanges, and analyzes data during the production process to increase production efficiency. Internet of Things (IoT) devices are among the basic technologies used for this purpose. However, the integration of IoT technology into the industrial environment faces new security challenges that need to be addressed. This is also true for a production line. The production line is a basic element of industrial production and integrating IoT equipment allows one to streamline the production process and thus reduce costs. On the other hand, IoT integration opens the way for network cyberattacks. One possible cyberattack is the increasingly widely used distributed denial-of-service attack. This article presents a case study that demonstrates the devastating effects of a DDOS attack on a real IoT-based production line and the entire production process. The emphasis was mainly on the integration of IoT devices, which could potentially be misused to run DDoS. Next, the verification of the proposed solution is described, which proves that it is possible to use the sampled flow (sFlow) stream to detect and protect against DDoS attacks on the running production line during the production process

Control of a Production Manipulator with the Use of BCI in Conjunction with an Industrial PLC

Research in the field of gathering and analyzing biological signals is growing. The sensors are becoming more available and more non-invasive for examining such signals, which in the past required the inconvenient acquisition of data. This was achieved mainly by the fact that biological sensors were able to be built into wearable and portable devices. The representation and analysis of EEGs (electroencephalograms) is nowadays commonly used in various application areas. The application of the use of the EEG signals to the field of automation is still an unexplored area and therefore provides opportunities for interesting research. In our research, we focused on the area of processing automation; especially the use of the EEG signals to bridge the communication between control of individual processes and a human. In this study, the real-time communication between a PLC (programmable logic controller) and BCI (brain computer interface) was investigated and described. In the future, this approach can help people with physical disabilities to control certain machines or devices and therefore it could find applicability in overcoming physical disabilities. The main contribution of the article is, that we have demonstrated the possibility of interaction between a person and a manipulator controlled by a PLC with the help of a BCI. Potentially, with the expansion of functionality, such solutions will allow a person with physical disabilities to participate in the production process