The problems of detecting hidden subsurface non-metallic pipelines based on polyethylene, polystyrene polyvinyl chloride and polypropylene are considered. The electrical and magnetic parameters of the subsurface medium mainly coincide with the parameters of liquids and materials of pipelines, which does not allow to detect them using conventional metal detectors. It is proposed to detect not the pipeline material itself, but rather its content. A parametric method of detecting hidden subsurface nonmetallic pipelines based on the parametric properties of liquids in pipelines, which are manifested during forced polarization of the liquid by turning the magnetic axes of the protons of the liquid to a certain angle relative to the Earth’s magnetic field. Once the polarization pulse impact is over, there is a precession of the axes of the liquid protons in the direction of the Earth’s magnetic field. This leads to the appearance of a magnetic field of free nuclear precession with the Larmor frequency, which indicates the discovery of a hidden subsurface pipeline with liquid. The time of proton precession depends on the type of liquid and serves as a sign for recognizing the type of liquid in the pipeline. The purpose of the study is to develop a new method of detecting hidden subsurface non-metallic pipelines, based on specifics of the parametric properties of the liquids transported by them. The given parametric method has undergone experimental research and can be implemented in a serial sample of a means for detecting hidden subsurface non-metallic pipelines.
The article discusses the method of tabular implementation of the arithmetic operation of multiplying two numbers represented in the system of residual classes (SRC). The existing methods of tabular implementation of the arithmetic operation of multiplying two numbers in the SRC allow you to implement this operation only in a positive numerical range. This circumstance significantly narrows the area of effective application of tabular arithmetic (TA) in the SRC. In order to further develop the scope of TA, the method of tabular implementation of the arithmetic operation of multiplication in the SRC has been improved in the article due to the additional possibility of simultaneously performing operations of both arithmetic and algebraic multiplication. For this, a mathematical model (MM) of the process of tabular implementation of the operation of modular multiplication in positive and negative numerical ranges is synthesized. The MM developed in the article is the basis for the method of tabular implementation of the arithmetic operation of multiplication. An example of the application of this method of multiplication of two numbers in the SRC in the negative numerical range is given. In the future, MM and an improved method for multiplying two numbers can be used as the basis for a generalized method for fast processing of arithmetic operations of modular addition, subtraction, and multiplication in the SRC.
A growing of the cloud services and resources capabilities allow moving the desktop software/applications to the servers/clouds/clusters. In this paper we have presented a brief description and several aspects related to the cloud computing, Virtual Observatory (VO) and Software as a Service (SaaS) in astronomy, reviewed them, and provided some major approaches of their realization in scope of the Collection Light Technology (CoLiTec) project as the SaaS called "CoLiTec Virtual Observatory Platform". We have presented a realization of the developed mathematical and computational methods related to the light curve creation of variable stars incapsulated into the CoLiTecVS (CoLiTec Variable Stars) desktop software as a new Software as a Service approach with the graphical user interface (GUI) in the cloud with web access and visualization. All processing stages are performed on the backend and end user has access to the web interface only. The CoLiTec Virtual Observatory Platform was successfully tested on the astronomical data with a lot of investigated variable stars of the different observatories in Ukraine, Slovakia and Thailand using the different types of telescopes and observational conditions.
The paper represents importance of performing data consistency operations with data sets, where it is possible and essential. Producing vast amounts of data by the Internet of Things (IoT) devices and sensors, all electronic data must be organized and processed. The approach presented in this paper may help researchers look for new areas of processing data, making it more consistent and reviewing already presented, maybe not so efficient methods. Learning from real-life examples, the efficiency of using smart devices, and the coverage of cellular or global positioning systems show many exciting and inspirational ways to work on science and practical success. This paper aims to create a method for combining data from different sources to obtain the best quality of the resulting data. The paper shows that we continue to increase number of sources to process and operate data, making it essential to process correctly and qualitatively. Researching approaches to make data more consistent and precise will be present almost all time.
This paper addresses the problem of creating a tool for categorizing dogs' vocal expressions into emotional states. Animal vocalizations can now be automatically classified using artificial intelligence algorithms. With the help of an examination of the correlation between the regular and irregular components of the signals, the researchers have discovered various acoustic patterns. In this study, we examined the effectiveness of training methods for bark classifications in compliance with the emotional state of the dogs. People evaluated dogs' emotional states. Furthermore, we discovered a significant link between the values predicted by the assessors and the calculated valence and arousal levels. Notable characteristics of dog vocalizations were defined together with analyzing possible specific and individual features of dogs’ acoustic signals. These features were formed from the digital recording of the barks. Different communicative situations were taken accordingly. This research provides useful insights for creating more accurate tools for the classification of emotions from acoustic data and could be applied to enhancing human-machine interfaces.
Environmental monitoring systems are reviewed. A general statement of the problem of choosing a set of information protection tools in computer networks for the environmental monitoring system has been developed. The method of analyzing hierarchies gained further development due to its extension to a new class of objects – the selection of information protection tool sets according to many criteria in conditions of interval uncertainty of the initial information.
Small drones have become widespread due to their affordability and ease of operation. In this regard the number of offenses with their use is growing. Small drones are widely used in military conflicts also. The task of detecting small drones is not easy and relevant. The small size of the drone makes it difficult to detect by radar, optical and acoustic methods. Therefore a combination of these methods is most often used. This paper discusses the problem of detecting small drones in thermal infrared (IR) range. The aim of study is to evaluate the effectiveness of YOLOv5 neural networks for detecting such objects in IR images under various conditions.
Sustainable development is one of the priority areas of society. However, the replacement of natural minerals with artificial ones, in particular iron ore, has not yet taken place. Therefore, the authors of scientific work are constantly looking for optimal ways to use natural resources, including iron ore. Thus, the following problems of iron ore mining were considered in the works of the authors: 1) parametric resonance in the process of movement of hoisting vessels in the trenches of ore and coal mines; 2) expert system of selection of competitive options of systems of underground development of ore deposits; 3) the automated system for selection for optimal solution for the process of iron ore mining based on artificial intelligence methodology. However, another problem of iron ore mining has not been considered by the authors - an integrated economic and mathematical model the geomechanical state of rock mass at ultrahigh depths and to determine the optimal geometric dimensions of structural elements of mining blocks. This model is developed on the basis of the method of dimensionless functional characteristics for calculating the dimensions of the structural elements of the block, ensuring their stability. The authors have expanded the capabilities of this method by introducing into its mathematical apparatus elements that make it possible to perform vibrational economic and mathematical calculations of an optimization nature to find the sizes of block elements that are optimal according to economic criteria, ensuring the simultaneous achievement of the necessary stability of the block elements for the entire period of ore mining in the block and the maximum possible economic efficiency of developing its reserve in specific geomechanical and economic conditions for carrying out mining operations.
its common Security breaches and other threats can harm a bank’s brand and bottom line. Therefore, banks and other financial institutions must implement sufficient security controls and Information security governance frameworks (ISGF) to guarantee that only authorized individuals can access sensitive data. This study analyzes the risks associated with the banking industry's reliance on information security systems. There is a proposal for a framework to control information security (ISGF). The International Organization for Standardization (ISO) 27002 is one example of a widely adopted framework for controlling data privacy and integrity. Many information security frameworks, including ISSA, FFIEC, PCI-DSS, COBIT, and others, have explained in detail. Each of the three tiers of the information security governance framework (ISG)—strategic, tactical, and technical—are subdivided into sublevels table In this, All detailed descriptions of each part of the proposed ISG is mentioned in the table. This structure is going to be use by the banking industry. In addition to the different types of ISG, all types of breaches that threats the security of the financial institutes are explained in brief form. This document details the roles and responsibilities of each ISG member and how they contribute to the overall effectiveness of the ISGF. All possible invasions have avoided with the help of the suggested measures. Gaining strong Information security governance framework was one of the recommendations provided in this study for improving the actual banking system's environment and handling the security problems.
An analysis of risk aggregation methods is carried out, cases are given in which the aggregated risk is determined by the arithmetic sum of risks. It is shown that the determination of the aggregated risk caused by compatible random events is a relevant task when determining the probability of cumulative losses for a given time that may arise as a result of the set of these events, and the problem of risk aggregation is also relevant and is being investigated for critical infrastructure objects. It is shown that currently there are no verified methodologies or methods of risk aggregation, and a method and methodology of risk aggregation caused by a set of compatible random events is also proposed.
Research presented in this paper describes the experiments conducted on image preprocessing methods, such as anisotropic diffusion and image histogram equalization, with an aim to enhance the performance of the information technology for person identification based on Gabor wavelet transform, local binary patterns in 1-dimensional space and histogram of oriented gradients for image processing, feature vector extraction, and classification. The experimental research of the algorithm was performed on three face image databases with the use of program software created in Python. Experiments were divided into three sets: the original set of the methods without preprocessing, set with the method of anisotropic diffusion, set with the method of image histogram equalization, and set with both these methods. Analysis of obtained results of the experimental research has shown that chosen methods haven’t provided the improvement of the algorithm, therefore other image preprocessing methods must be considered for further exploring.
Sleptsov nets represent graphical language for concurrent programming. Some transitions in the Sleptsov net (SN) can be substituted by subnets, resulting in a hierarchical Sleptsov net, which we call the high-level Sleptsov net (HSN). In this way, we can facilitate the function extension on the basis of the existing net model. We formulate the file specification to represent the information of HSN and its mapping relationship with the subnets. In addition, we define data structures according to the composition information of the net and propose algorithms to complete the conversion of HSN to low-level Sleptsov net (LSN), which does not contain transition substitution. Through complexity analysis, we obtain that the algorithms run in polynomial time. Furthermore, the algorithms are implemented via C language programming, and the feasibility of the algorithms is verified through examples and benchmark tests.
This article describes the minimization of information losses in data centers as one of the priority areas of information security technologies. It is determined that the model of DLP strategy includes the following stages: data management, DLP management and information security support, which includes system lifecycle data (SDLC). The data management phase consists of developing data center standards and policies, identification models, risk assessments, classification development, architecture construction and quality assessment methodology. Thus, after identifying the types of data to be protected, the place of this information in the organization's IT infrastructure should be analyzed, dividing the data into those stored in structured repositories (e.g relational databases controlled by the IT organization) and unstructured end-user repositories on network resources and workstations. Carrying out this classification is a basic measure of preparation for monitoring the data center network.
Creation of reliable telecommunication communication channels providing confidential data, it is currently impossible to have reliable encryption algorithms. The most popular services that provide encryption algorithms include confidentiality, integrity, and authenticity services. Most modern symmetric encryption algorithms use nonlinear substitutions or abbreviated S-boxes. Their properties have a direct impact on the cryptographic strength of symmetric encryption. So, generating S-boxes with the right properties is certainly an important task for creating S-boxes. In this paper, we consider heuristic methods for generating nonlinear substitutions that use special cost functions (heuristics). During generation, the search algorithm changes the randomly generated substitution at each iteration and tries to reduce the value of the cost function. Search attempts are stopped either after finding the S-box with the desired properties, or after performing a certain number of iterations. Doubtless, the search efficiency depends on the chosen heuristic, namely, on the parameters of the cost function. In this paper, we consider the PCF cost function and optimize its parameters. We managed to optimize the parameters of this heuristic and achieve the least number of search iterations.
The paper analyzes existing methods of processing photo and video images to solve the problem of extracting pages from a video stream. The concept of an algorithm for video segmentation for use in real-time optical character recognition (OCR) tasks is proposed. Possibilities for implementation of the approach, potential shortcomings, and challenges, as well as ways to solve them, are described. The algorithm can become the basis for other algorithms for digitization and analysis of printed and handwritten texts, which can later be used for future research in the field. The novelty of the approach is the use of video semantics algorithms to solve the topical question of text recognition.
Members of Interdepartmental laboratory of machine learning and intelligent data analysis Vasyl' Stus Donetsk national university are developing a software that helps students choose minors and other additional subjects, as well as proper tooling for teachers and staff. Described process of development, its specifics and addressed direction and possible technologies that may serve the scaling of the system.
The paper presents a comparative characteristic of the solutions for organizing the topology of audio analytics systems. Equipment with built-in audio analytics that responds to disturbing sound waves allows to detect intrusions, break-ins, traffic accidents, attempted attacks, armed robberies and even acts of terrorism. Depending on reception or recording of sound in the system, types of data preparation and regulatory requirements of individual countries, there are several topologies of systems of audio analytics: systems with analytics on the edge, systems with analytics on a local server and systems with analytics in the cloud. Each solution has both disadvantages and significant advantages over others.
This work is devoted to the solution of the task of data acquisition automation for accounting of consumed water. In this work, the structure of the accounting module is proposed, which would be an addition to most of the currently used water meters. The operation principle of the developed module is based on the use of modern Internet technologies, and its main functions are taking pictures of water meter readings and sending them to an online database. The software necessary to transmit, save and display meter readings was also developed. It includes: server software implemented on the basis of the ASP.NET Core framework and the non-relational database MongoDB; client software implemented using Razor Pages technology; embedded software of the module itself is implemented using the library ESPAsyncWebServer. For conducting experimental studies, a device was used, which includes: OV2640 camera, Wi-Fi/Bluetooth module ESP32-S, LED and memory card. The conducted studies showed the workability and effectiveness of the proposed approach to automating data collection of water meters.
To increase the efficiency of detection, determination of coordinates, and motion parameters of unmanned aerial vehicles when testing complex systems and corresponding signal processing methods, special simulation equipment is needed that allows reproducing the parameters of real unmanned aerial vehicles. The authors propose use of an autoregressive shaping filter to form parametric power spectral density of acoustic signal of UAV simulation model.
