Cognitive information technology support for NATO standards implementation processes

The article considers the issue of creating cognitive information technology to support the implementation of NATO standards, which is also inherent in the means of communication of modern telecommunications systems in the Armed Forces of Ukraine and other components of the security and defense sector of Ukraine. It is noted that assessing the state of implementation of NATO standards is a rather complex and important process that requires the analysis of a large amount of poorly structured and unstructured information with varying degrees of restriction of access, which greatly complicates its analysis and processing. The effective use of information technology to solve these problems directly depends on the level of interaction between information processes. The nature of the interaction between them determines their network orientation, and in the environment of the system should be used tools that use information resources from different fields of knowledge. A number of problems have been identified, which are the redundancy, complexity and irrelevance of the regulatory framework in the field of defense; obsolescence of standards and their incompatibility with modern systems, etc. To eliminate them, it is proposed to use cognitive information technology with elements of artificial intelligence, and to assess the state of implementation of standards, it is proposed to use the method of recursive reduction. This method will be used both for structuring and for forming ontologies based on them. A further direction of research initiated in this article is the introduction of the proposed cognitive information technology in the activities of the governing bodies of the Armed Forces of Ukraine and other components of the security and defense sector.

Practical use of ArcGIS for the ensurance of national security

At the present stage of development, the geographic information system (GIS) technology can be applied in many areas, including national security. Geospatial data create new opportunities for resolving vital issues, among which are detection and immediate response to threats and dangers, as well as for making effective management decisions on preventive security development. Previously, GIS has been a technology used by a small group of geospatial data analysts with limited access to up-to-date data. Nowadays, the ArcGIS software is a geospatial platform, which provides capabilities to the civil security sector of countries striving for sustainable development, public order and emergency prevention. ArcGIS maps and applications can help governments to create space for interagency cooperation in national security and other fields, where geospatial data is an administrative and decision-making instrument. The article describes the advantages of the ArcGIS software, including its extensions and add-ons, the best practices of applying GIS technology for the purposes of public order enforcement, potential offense detection and public event security. In addition, ArcGIS is used to access the existing data and integrate it into a common geographic context - a web map ensuring the interoperability of data and a better understanding of how to take security measures and make objects clearly visible. The GIS application analysis has shown that public order enforcement through the utilization of geospatial data implies the detection of dangers, threats and vulnerabilities, interagency cooperation thanks to shared situational awareness across multiple groups for daily operations, and action coordination with the use of the latest technologies and public information. At this point, the ArcGIS software makes it easier to take national security and pubic order measures from any device, at any time and place.

Improve continuous integration and delivery methods by implementing a load testing stage

The contradiction between system stability and development speed development introduces new challenges to processes automatization. Significant increase of quality and speed of software development was reached due to agile method and continuous integration and continuous delivery (CICD) approach, which enabled rapid software changes by breaking development process into small iterative stages. New product version with new features incorporated is the result of each iteration. Then, there are automation tools typically used for testing and building. However, there is space for performance issues and delivery failures in this scheme. System scaling is generic approach for resolving performance problems, but the question how much the system should be scaled remains unanswered. Load testing procedure is commonly used but it is still not perfect, as testing environment is very different from production environment. Therefore, current paper is aimed at overcoming described difficulties by extending CICD approach with load testing automatization, system benchmarking, which allows system interruption minimization, and system scaling evaluation by scale factors calculation. Using these enrichments more precise testing result will be provided. We also suggest using such tools as Go-replay for traffic mirroring and Nagios for monitoring. Hence, this paper suggests enriching and increasing the efficiency of CICD approach. In addition, paper addresses methods of monitoring metrics collecting in centralized system. They will be used in further analysis and decision-making process regarding new product version in the automated mode.

Transdisciplinary consolidation of information invironments

The paper discusses an ontological approach to solving the problem of integrated use of Big Data through transdisciplinary semantic consolidation of information resources. The category of taxonomy is considered as a constructive for the formation of consolidated information, taking into account its semantics. The formation of a hyperset of taxonomies — taxonomic diversity — implements the consolidation of information resources, defined as a verbal-active function of interpreting a set of binary relations between all contexts reflecting the meanings of concepts that form the content of subject areas, whose information resources are involved in network interaction. The category of information consolidation, as a taxonomic diversity of information resources, is characterized by the existence of verbally active reflection and recursion. The concept of discourse is defined as the inter-contextual connectivity of network information resources, which is represented by verbal-active reflection, on the basis of which taxonomic diversity is realized. For consolidated network information, the format of narrative discourse is determined. The concept of an arbitrary taxonomy is defined as a term, which makes it possible to implement the process of forming taxonomies based on the use of sets of λ-terms. The topology of interaction of taxonomy concepts sets is represented as a set of marked Böhm trees. An example of the formation of the information resources consolidation in the study of historical and cultural heritage with the display of museum expositions in the format of 3D panoramas is given. An algorithm for the consolidation of 3D models of heritage conservation objects with network GIS services and network information resources is given.

Development of the fourth generation radio network and forecasting of its coverage in the conditions of urban development

Here is an example of how the fourth generation of cellular networks is developing rapidly today. The traffic per subscriber is growing every month. Operators are forced to provide coverage and the necessary capacity by installing new base stations. Quality network planning can provide better network performance and reduce deployment and optimization costs. It is also important to use a planning and optimization tool to model network coverage and perform performance analysis. According to the results of many studies, the amount of data transmitted over wireless networks has been growing significantly recently. Buildings are obstacles to the signal over long distances, so for the same area in different types of terrain for quality coverage it is necessary to place a different number of base stations. In addition, it is necessary to take into account the peculiarities of the building, as signals from different base stations are an obstacle for each other. On the other hand, high population density requires a large network capacity to meet the needs for speed and number of simultaneously connected users. Traffic is projected to increase by 2024, due to the emergence of new video services and the growing popularity and involvement of the population in existing ones. LTE-Advanced provides the ability to deploy repeaters to increase network performance. In the context of cellular communication systems, an important aspect is radio network planning - the process of locating base stations, determining the frequency channels and radio parameters of a wireless communication system to provide sufficient coverage and connection capacity to ensure the required level of service quality. to the user. Coverage planning refers to a geographic area where the network must provide a signal with sufficient power to provide access to voice or packet services, and capacity planning determines the system’s ability to provide services to a given number of subscribers. The purpose of the article is to study the process of planning the fourth generation LTE network in terms of urban development, calculations and modeling of coverage.

The way of work and construction of a modern water quality sensor

Real-time monitoring and development of IoT-based real-time water quality monitoring solution for smart cities will be established through telecommunication microwave networks through real-time communication. We will also detail the opportunities and positive impacts, as well as the challenges and the need to fully integrate such solutions in cities. This solution enables thorough analysis of data in real time. Water related data such as quality, pressure and temperature can be manipulated in detail and visually to empower water utilities. Sensors are structure of fully automated systems that process data at low cost, high accuracy, and at the output we receive information that is easy to structure. These sensors are absolutely accurate and easy to use, which is what we need in a smart automated city. Biosensory represents autonomous integral analytical attachments, so that they will forget a little or a reminder of an analysis from the background of a biological developmental element, which is known in direct contact from the form. Biosensors are perceived from chemical sensors in a deprivation of time, so that the concentration of singing speech appears in them for the additional material of biological nature. The development of biosensors in one of the most promising directions of research in the field of analytical biotechnology. For the IUPAC classification, simply the biosensor can be used as an analytical sensor (attachment), which can be stored from biological material, immobilized or conjugated with a re-converting (transducer). The sensor-converts the detection that allows to carry out a complete assessment of the signals, which are detected at the biological part (bioreceptors). Prior to biosensors, there are various analytical sensors: enzyme electrodes, DNA probes, immunosensors, enzyme thermistories, microbial sensors.

Using a functional field to assess the effectiveness of a robotic terrain monitoring system

Currently, systems equipped with scanning equipment and a variety of sensors are increasingly used to monitor the area. At the same time, the growing need to automate the monitoring of closed and open areas stimulated the development of robotic systems and mobile sensors. Mobile and multifunctional robots are usually accepted as a means to reduce the structuring of the environment and the number of devices required to perform the tasks. However, the number of different sensors installed on the robotic system and the number of complex tasks related to intelligence, monitoring and surveillance make the design of the overall system extremely complex. Construction of a robotic monitoring system requires appropriate scientific justification. This raises the need to develop appropriate theoretical provisions, especially in relation to assessing the effectiveness of the system. As the robotic terrain monitoring system is dynamic due to the use of mobile elements, it makes it difficult to assess its effectiveness. The structure of the system assumes the dependence of the efficiency of each element of the system on its spatio-temporal location and the corresponding location of the monitoring objectives. The aim of the article is to use the functional field of the system to evaluate the effectiveness of the robotic area monitoring system. From the above it follows the need to develop mathematical models of the structure of the robotic system for monitoring the area and its functioning. Thus, as a result of construction and application of a system with a dynamic structure in the space of functioning of the system, its functional field is formed. A functional model based on the functional field of the system with a dynamic structure is proposed, which will allow solving the problems of building the structure of the system and evaluating its efficiency. The procedure for determining the parameters of the functional field of a system with a dynamic structure is much simpler than determining the numerical values of system performance indicators. This will ensure sufficient accuracy of the results and simplicity of computational procedures.

Statistical models of network traffic

The article considers the issues of statistical modeling of traffic in telecommunication networks with packet switching. The simulation results are used in the development of network technical condition management systems, in particular, diagnostics, troubleshooting and network configuration management. The peculiarities of congestion control of separate network segments are emphasized. With improper analysis the overload condition can be mistaken for equipment failure. Therefore, control and elimination of congestion is a statistical task. The concept of end-to-end network diagnostics is considered. This concept provides for effective assessment of the quality of functioning of all network components taking into account their interrelationships. The main issues are the interaction of equipment, inefficient configuration, improper network organization and user operation. Methods of traffic statistical control characteristics based on perforated and marker bucket algorithms are analyzed. A feature of these algorithms is the formation of a strict output stream at a rate that does not depend on the non-uniformity of the input stream. The possibility of improving the token bucket algorithm by adapting to changes in the statistical characteristics of traffic is shown. To solve this problem, statistical mathematical models of network traffic are built. Data traffic circulating in telecommunication networks by packet switching has self-similar (fractal) properties. The self-similar process retains its properties when considered at different time scales (invariance to scale changes). The degree of statistical stability of the process with multiple scaling is determined by the Hirst parameter (the self-similarity parameter). Graphs of statistical characteristics of low-speed and high-speed data traffic are obtained. Their comparative analysis is carried out.

Option for evaluation of development of decision support system requirements

The quality of the decision support system (DSS) is influenced by the process of creating this system. An important part of the DSS creation process is occupied by events that discuss issues related to the definition of system requirements. Both representatives of the customer and representatives of the executor take part in these actions. The difference between the participants creates uncertainty. It is important to understand the weaknesses in measures to address system requirements in the early iterations of system development. This will allow appropriate measures to be taken to improve the quality of measures to address system requirements. This paper proposes the use of Bayesian methods to evaluate the development of requirements for the creation of a decision support system. A model is proposed in which the participants of the events evaluate the measures in terms of addressing all issues and uncertainties. After the implementation of the requirements discussed at the events, the results of testing are evaluated for these activities. The analysis of the assessments provided by the participants of the activities and evaluations, based on the test results, provides an opportunity to draw appropriate conclusions and take appropriate measures. During the evaluation process, type I errors occur — the activities were evaluated by the participants on «3», which meant that not all issues were resolved and problems exist, and as a result no errors were made in implementing the precedents worked on at these events. Type II error — the measures were evaluated by the participants on «5», which meant that all issues were resolved and there were no unresolved issues, and as a result errors were obtained in the implementation of precedents, which were worked out at these events. The article processes the initial data. The historical representation is determined: P(T|D) = P(D,T)/P(D). The posterior representation is determined: P(D|T) = P(D,T)/P(T). Using this mathematical model, we can assess the quality of processing the requirements for the creation of DSS. In the case of obtaining low values of P(D1|T1), P(D2|T2), P(D3|T3) it can be concluded that the measures to process the requirements are not carried out at the appropriate level and may need to be carried out differently. In the case of obtaining low values of P(D3|T1), P(D1|T3) it can be concluded that the measures to process the requirements are carried out at the appropriate level and the probability of errors of I and II kind is quite low. Based on the results of the work on the creation of the first and second stages of DSS, it is possible to draw conclusions and make organizational decisions, and as a result, other stages of the creation of DSS will be better than the first and second stages. More and more activities are moving to the electronic form, the implementation of the function of estimating the processing of the requirement is becoming easier, so research in this area has prospects.

Impact of information technology on the lives of people with disabilities

This article discusses the impact of information technology on the lives of people with disabilities. The latest technologies open wide opportunities for use by people with special needs. In particular, digital technologies are much more important for people with disabilities than for others, because they not only help to make their lives more comfortable, but also provide an opportunity to live as full a life as possible. The aim of the article is to study and analyze the impact of information technology on the lives of people with special needs in the modern world. Mobile applications are one of the most affordable IT products specialized for people with disabilities. The latest IT technologies, such as: speech recognition, the use of various sensors, machine and deep learning of neural networks simplify the lives of people with special needs. People with disabilities face a variety of challenges in today’s information space. But modern technology helps them solve many problems. Such technologies are called Assistive Technologies. High-tech assistive technologies open up a large number of opportunities for interaction with the outside world, regardless of the type of disability. For example, by using computer technology for tasks such as reading and writing documents, communicating with other people, and searching for information on the Internet, students and employees with disabilities are able to work independently with a wider range of data. Considering all the facts discussed in this article we can make the following conclusion. The article reviewed and analyzed the impact of IT technologies on the lives of people with special needs in the modern informational environment. We can state for sure that modern society is more than ever integrated into IT technologies. This way, the people with disabilities use IT in their daily lives. Such technologies are created not only to simplify their lives, but also to provide opportunities for comprehensive and full interaction with the outside world. Numerous researches confirmed that the implementation of a simple interface specialized for the specific requirements of people with disabilities makes the use of such applications one of the key stages in attracting people with special needs to the active social life of society.