Elena Zaitseva

University of Žilina · Department of Informatics

Dear Colleagues, this Special Issue delves into the intersection of ICT and smart infrastructure, emphasizing efficiency, security, and dependability. Suggest themes: - Cybersecurity in Smart Infrastructure: Addressing vulnerabilities and mitigating risks in interconnected systems. - IoT and Sensor Networks: Leveraging data from sensors for real-ti...

As a large social structure, the health care system is often reflected in media publications. This creates a significant impact on society’s attitude towards the system and the state in general. In order to predict and correct state policies, media actions, and identify media shortcomings, it is necessary to analyze the image portrayed by the media...

Unmanned Aerial Vehicle (UAV) applications are extended extremely. Some applications need to use several UAVs for a general mission which can be considered a UAV fleet. One of the important characteristics for the evaluation of a UAV or UAV fleet is reliability. There are studies in which methods for analysis of their reliability are considered. Re...

Measurement is a typical way of gathering information about an investigated object, generalized by a finite set of characteristic parameters. The result of each iteration of the measurement is an instance of the class of the investigated object in the form of a set of values of characteristic parameters. An ordered set of instances forms a collecti...

Approximately 50% of the world’s uranium is mined in a closed way using underground well leaching. In the process of uranium mining at formation-infiltration deposits, an important role is played by the correct identification of the formation of reservoir oxidation zones (ROZs), within which the uranium content is extremely low and which affect the...

The uranium required for power plants is mainly extracted by two methods in roughly equal amounts: quarries (underground and open pit) and in situ leaching (ISL). Uranium mining by in situ leaching is extremely attractive because it is economical and has a minimal impact on the region’s ecology. The effective use of ISL requires, among other things...

Wildfires, as a global phenomenon, are one of the primary sources of environmental and social disturbances. To prevent and mitigate the damaging effects of fires in Europe, a great concern is focused on fire risk assessment at the Pan-European scale. The research proposes a conceptual approach for fire risk assessment using multiscale multi-tempora...

Climate change, uneven distribution of water resources and anthropogenic impact have led to salinization and land degradation in the southern regions of Kazakhstan. Identification of saline lands and their mapping is a laborious process associated with a complex of ground measurements. Data from remote sensing are widely used to solve this problem....

The development of information technology has had a significant impact on various areas of human activity, including medicine. It has led to the emergence of the phenomenon of Industry 4.0, which, in turn, led to the development of the concept of Medicine 4.0. Medicine 4.0, or smart medicine, can be considered as a structural association of such ar...

Early detection and prevention of natural and anthropogenic degradation processes are especially relevant. This paper proposes a suitable architecture of a cloud-based early warning system for assessing land degradation based on satellite Earth observation and other necessary geospatial data. The early warning system is based on efficient methods f...

This paper uses a novel method for evaluating land degradation in mountain-protected reserve areas based on remotely-sensed data. A risk map is developed based on this method for the investigated area. The risk is computed based on quantifying drivers of land degradation that can be estimated remotely. This paper considers terrain slope, vegetation...

Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies enco...

This feasibility study aims to find the most suitable alternative traction drive in order to replace an existing diesel-electric train. In order to achieve the environmental European targets, set for the transport sector including the railway sector, the research on green alternative trains is part of the main solutions in Germany. Several low-emis...

University-Industry Educational Centre in Advanced Biomedical and Medical Informatics (CeBMI) is one of project financed by ERASMUS+-Knowledge Alliance. Biomedical and medical Informatics (BMI) is a complex and interdisciplinary area that needs diverse yet complementary knowledge, expertise and competences in medicine and IT. The principal project...

UAVs have a great potential of application for monitoring, search, detection, communication, delivery and transportation of cargo in various sectors of economy. In spite of this, the existing software and hardware, as well as legal limitations, prevent the wide application of UAVs. There is intensive research related to automation and optimization...

Classification is one important and commonly used Machine Learning technique. The classification effectiveness can be influenced by different factors and initial data used for the classifier induction and in the process of classification, including. The quality of measurements of the input attributes of new samples for the classification can affect...

The development of the system's model is an important step in reliability analysis. The system's model in reliability analysis similar to other knowledge areas is used as an explanatory and research tool. In reliability analysis, this model is mathematical and allows us to determine quantitative characteristics to evaluate the behavior of the origi...

Precision farming is one of the ways of transition to the intensive methods of agricultural production. The case of application of unmanned aerial vehicles (UAVs) for solving problems of agriculture and animal husbandry is among the actively studied issues. The UAV is capable of solving the tasks of monitoring, fertilizing, herbicides, etc. However...

The paper presents the results of a correlation analysis between the information trends in the electronic media of Kazakhstan and indicators of the epidemiological situation of COVID-19 according to the World Health Organization (WHO). The developed method is based on topic modeling and some other methods of processing natural language texts. The m...

Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of applied issues. The core of AI is machine learning (ML)—a complex of algorithms and methods that address the problems of classification, clustering, and forecasting. The practical application of AI&ML holds promising prospects. Therefore, the researches...

Residual current devices (RCDs) are most popular devices used in low-voltage installations for protection against electric shock and fire. In cases of high risk of electric shock the application of RCDs is mandatory. Currently, the spread of local direct current (DC) microgrids is widely considered. This creates new challenges for protective system...

The structure function is an often-used mathematical representation of the investigated system in reliability analysis. It is a binary function that models system state according to states of its components. The size of the structure function depends on the number of components and can be enormous for systems with many components. Therefore, the sy...

A new method in decision-making of timing of tracheostomy in COVID-19 patients is developed and discussed in this paper. Tracheostomy is performed in critically ill coronavirus disease (COVID-19) patients. The timing of tracheostomy is important for anticipated prolonged ventilatory wean when levels of respiratory support were favorable. The analys...

The media plays an important role in disseminating facts and knowledge to the public at critical times, and the COVID-19 pandemic is a good example of such a period. This research is devoted to performing a comparative analysis of the representation of topics connected with the pandemic in the internet media of Kazakhstan and the Russian Federation...

Forests of Slovak Eastern Carpathians provide essential services to society ensuring human well-being. Primeval forests that remained there untouched have exceptional value. Unsustainable logging and climate change intensify forest disturbances and may cause substantial forest loss. The engagement of remote sensing allows timely monitoring and pred...

The use of unmanned aerial vehicles (UAVs) in various spheres of human activity is a promising direction for countries with very different types of economies. This statement refers to resource-rich economies as well. The peculiarities of such countries are associated with the dependence on resource prices since their economies present low diversifi...

The aim of this research work concerns the development of an integrated approach based on logic differential calculus and Hasse diagram. Logic differential calculus is a powerful mathematical methodology that allows determination of the minimal path/cut sets of systems represented by Boolean structure function. Minimal path/cut sets are important i...

The Birnbaum importance is one of the measures often used in importance analysis. Many algorithms for the calculation of this measure have been proposed for coherent systems. Several interpretations of the Birnbaum importance for non-coherent systems also exist. These interpretations are usually based on the prime implicants of the structure functi...

Non-coherent systems represent a specific group of systems in context of reliability analysis. These systems are characteristic by existence of situations in which degradation of a system component can result in improvement of the whole system. Non-coherent systems are mostly investigated in case of Binary-State Systems (BSSs) that admit two perfor...

Electroencephalogram (EEG) signal classification is used in many applications. Typically, this classification is implemented based on methods which consist of two steps. These steps are known as the step of signal preprocessing and the step of the classification. The signal preprocessing step transforms initial signal into classification attributes...

Health and safety is a problem that is intensively discussed nowadays. The failures in healthcare are called medical errors: if the patient’s condition worsens or he/she contracts an illness, then the actions that led to this are interpreted as medical errors. Medical errors can be the result of new procedures, extremes of age, complex or urgent ca...

Objectives: To propose the optimal timing to consider tracheostomy insertion for weaning of mechanically ventilated patients recovering from coronavirus disease 2019 pneumonia. We investigated the rela- tionship between duration of mechanical ventilation prior to trache- ostomy insertion and in-hospital mortality. In addition, we present a machi...

The paper presents an attempt to investigate the interrelation between the components' reliability features, such as failure rates and repair rates, of a diesel-electric multi-drive multi-motor propulsion system of an Arctic gas tanker for the "Yamal" project for a year-round Arctic navigation along the Northern Sea Route, and economic efficiency o...

The binary information technology reaches its limits set by the atomic size miniaturization, by calculation speed and by the fundamental principle of energy dissipation per bit processing. Employing Multiple-Valued Logic (MVL) cells as computing and memory units reduces energy losses and enables to pack unprecedented high-density information, but t...

A structure function is one of the possible mathematical models of systems in reliability engineering. A structure function maps sets of component states into system performance levels. Methods of system reliability evaluation based on structure function representation are well established. A structure function can be formed based on completely spe...

The analysis of EEG signal is a relevant problem in health informatics, and its development can help in detection of epileptic's seizures. The diagnosis is based on classification of EEG signal. Different methods and algorithms for classification of EEG signals with an accepted level of reliability and accuracy have been developed over years. All t...

System reliability/availability is a complex concept that is evaluated based on numerous indices and measures. There are different methods for the calculation of these indices and measures in reliability analysis. Some of the most used indices are important measures. These measures allow us to evaluate the influence of fixed system components or se...

Semiconductor devices and binary information technology reach their limits set by the atomic size of miniaturization, calculation speed, and the fundamental principle of energy dissipation per bit processing. Therefore, new technologies in logic design and mathematical approaches must be investigated. Application of multiple-valued logic (MVL) in l...

In this paper new algorithm for the reliability analysis of system is considered. The reliability analysis consists of 2 essential steps - creation of mathematical model and quantitative analysis. The system mathematical model is constructed depending on the specifics of analysis and properties of the investigated system. In this paper the mathemat...

A new algorithm for non-destructive diagnosis based on signal classification is proposed. This algorithm permits classifying objects with different properties depending on signals characterizing the objects. In this paper, the algorithm is applied to diagnose blades of aircraft engine gas turbine according to vibration signal after a non-destructiv...

Employing many-valued logic (MVL) data processing allows to dramatically increase the performance of computing circuits. Here we propose to employ ferroelectrics for the material implementation of MVL units basing on their ability to pin the polarization as a sequence of multi-stable states. Two conceptual ideas are considered. As the first system,...

A typical algorithm for signal classification consists of two steps: signal preliminary transformation and classification itself. The procedures of preliminary transformation are used to extract specific features of the initial signal and reduce its dimension for effective classification. The result of this transformation is information loss of ini...

A Multi-State System (MSS) is the type of mathematical model of a system in the reliability analysis in which both the system and its components may experience more than two reliability states. One of the possible approaches of MSS evaluation is based on system representation by a structure function that maps the system components states into the s...

Topological analysis deals with evaluation of influence of the system components on system operation. Such evaluation is usually performed by identification and quantification of situations in which degradation/improvement of a given system component results in system degradation/improvement. These situations can be revealed using Direct Partial Lo...

Digital substations (DS) of smart grid are complex multi-component maintained systems, consisting of a lot of hardware and software components. Failures of the components cause functional and parametrical degradation of the substations. According with systems (DS) structure the reliability-block diagram (RBD), the structure function and the structu...

The method of Human Reliability Analysis aims to identify and surface the potential failures of the system resulting from human errors, analyze causes and identify appropriate countermeasures to prevent and reduce the linked risk and resultant patient harm. These methods are well-accepted and integrated into the safety management process in most in...

Purpose The purpose of this paper is to develop a new mathematical method for the reliability analysis and evaluation of multi-state system (MSS) reliability that agrees with specifics of such system. It is possible based on the application of multiple-valued logic (MVL) that is a natural extension of Boolean algebra used in reliability analysis....

The structure function is typical mathematical representation of investigated system in reliability analysis. This function defines the correlation of all possible system components states and system performance level from point of view of the system reliability. The structure function is constructed based on complete information about the system s...

One of the most important components of smart grid digital substation is the merging unit (MU). A possibility to consider the MU as a recovered multi-state system (RMSS) is shown. It is also shown that the MU can be considered as a system, which consists of one “core” and one “shell”. The “core” of the MU is its part, which provides functions for p...

Importance analysis deals with the investigation of influence of individual system components on system operation. This investigation can be qualitative or quantitative. The qualitative analysis focuses on finding scenarios in which a degradation/improvement of a specific component or a group of components results in a degradation/improvement of th...

A state-of-the-art method based on a grammatical evolution approach is utilized in this study to classify EEG signals. The method is able to construct nonlinear mappings of the original features in order to improve their effectiveness when used as input into artificial intelligence techniques. Several features are initially extracted from the EEG s...

A software for distributed neural network training is introduced here. The introduced software named NeuralGenesis implements a client — server model for parallel genetic algorithms with custom features such as: an enhanced stopping rule, an advanced mutation scheme and periodical application of a local search procedure. The software is coded in Qt...

Given the market’s saturation with smartphones and the increased power needs that these have as compared with older feature phones, the users’ green practices and behavior is emerging as an important research topic. The environmental aspects and general awareness issues are not addressed in this study; however, the limited battery life of smartphon...

The research of legal issues concerning the cyberspace is complex because it requires not only legal but also technical knowledge. The present paper examines the challenges and answers stemming from three main research questions: a) are there gaps in legislation concerning cyberbullying? b) Does the penal legislator consider security in cyberspace...

The present study carries out a literature review on the topic of Continuous Authentication (CA) using behavioral biometrics. CA systems have been proposed in order to solve the shortcomings of other user authentication methods. CA processes are considered to raise systems security and reliability, and biometric technologies have increasingly becom...

Reliability is an important characteristic of any system. Healthcare systems are typical examples of such systems. In reliability engineering, such systems are considered as complex, inhomogeneous, and uncertain, and require special mathematical representations. The structure function is a suitable model representing real systems. Methods of system...

The problem of development automation of classification rules synthesis on the basis of negative selection in the case of uneven distribution of classes in the sample is solved. The method for the synthesis of classification rules on the basis of negative selection in the case of uneven distribution of class instances of sample is proposed. This me...

Structure function is one of the possible mathematical models of the real systems under study in reliability engineering. The structure function represents the correlation the system performance level and components states. The system performance level is defined from the states of all its components. It means that all possible components states an...