automation

Overview of the Fundamental Model of Security Orchestration, Automation, and Response in the Context of Cybersecurity of Virtual Networks

The aim of this study is a comprehensive analysis of the fundamental SOAR (Security Orchestration, Automation, and Response) model in the context of cybersecurity for virtual networks. The paper presents a synthesis of the core concepts of orchestration, automation, and response, which are critical elements of modern approaches to risk management and information system protection.

Automation of Formation of a Specialist's Professional Curriculum Based on Analysis of Vacancies and Text Data

The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.

ANALYSIS AND DEVELOPMENT OF A PLATFORM FOR AUTOMATED SERVICES DEPLOYMENT AND MANAGEMENT

Software deployment automation plays a key role in improving the efficiency and reliability of workflows in the field of development and implementation of IT solutions. Existing services such as Jenkins, TeamCity have certain limitations, including insufficient flexibility in visualizing the history of changes, limited capabilities for managing configuration parameters, and difficulties in coordinating teamwork. Improving these aspects can significantly increase the productivity of development teams and accelerate the release of updates.

SOFTWARE AUTOMATION OF GEOSYNCHRONOUS EARTH SATELLITE OBSERVATIONS

Software automation of observations of geosynchronous Earth satellites is an important tool for effective monitoring of outer space. The program "Plan" presented in the work was created to automate the process of planning observations with the Takahashi BRC-250M telescope. The development is based on algorithms that take into account the visibility of satellites, the phase of the Moon, breaks between frames, as well as optimization of telescope movements to reduce observation time.

Development a Multifactorial Portrait Model of Software Complexes’ Supporting Subjects, Using Artificial Neural Networks

Impact factors, that are shaping the individualistic perception of the supported objects by the relevant subjects, who interact with them, directly or indirectly, are considered in this research. A form of impact factors’ (performing impact on the supported software complexes) representation has been studied and proposed.

Role, Problems, and Methods of Software Security Testing Automation

In the modern world, where information security becomes a key element of any organization's operations, software security testing automation is more important than ever. The success of an application directly depends on its stability, reliability, and security, which makes the proper implementation of control mechanisms critical. The increase in cyber threats and the growing complexity of software systems make this topic even more relevant.

Domestic and Foreign Experience in the Development of Management Systems of Recreation Enterprises

The article presents a comprehensive examination of domestic and international experiences in developing management systems for recreational enterprises. A thorough comparative analysis was conducted, focusing on approaches to managing recreational enterprises in Europe (with case studies from Italy, Spain, and France), the United States, and Asia (exemplified by Japan, Singapore, and South Korea). This analysis facilitated the identification of strengths, weaknesses, and both shared and distinctive features when compared to domestic practices.

ARTIFICIAL NEURAL NETWORKS IMPLEMENTATION IN MOBILE ROBOTIC PLATFORM CONTROL SYSTEM

In the era of rapid technological advancement, when robotics and intelligent systems are becoming an integral part of everyday life, the importance of developing control systems for mobile robotic platforms using artificial neural networks becomes extremely high and relevant. This field not only has significant practical needs but also holds considerable potential for innovative development. The evolution of modern robotics and computational intelligence has necessitated the creation of more efficient and adaptive mobile robotic systems.

SUBJECTIVE PERCEPTION MODEL OF SOFTWARE COMPLEXES SUPPORT OBJECT WITH THE ENCAPSULATION OF A MULTILAYER PERCEPTRON ARTIFICIAL NEURAL NETWORKS

The object of research in this article – is the process of subjective perception of supported software complexes or their support processes by relevant human entities directly or indirectly interacting with these supported software complexes. Subjective perception model of the software complexes support object with the possibility of encapsulation of artificial neural networks, in particular – a multilayer perceptron, has been developed.

Analysis of the Use of HS and HTS Codes in Customs Classification Systems: Challenges and Opportunities of Integration of IT Technologies

The peculiarities of the use of the harmonized system of description and coding of goods, the harmonized tariff system of codes in modern customs classification systems are analyzed. Special attention is paid to the challenges that arise when applying these codes, in particular due to the complexity of the product nomenclature, as well as the variety of product descriptions. In addition, the possibilities of integrating IT technologies, machine learning and artificial intelligence methods to automate and optimize customs classification procedures are being explored.