automation

Analysis of Modern Trends in Improving Automation Systems of Distillation Units Based on Energy Saving Criteria

At present, the problem of saving energy resources is more relevant than ever. The largest consumers of these resources are industrial enterprises, institutions and organizations, all of which are interested in the efficient use of electricity, heat, water and other resources. One of the key criteria for the effectiveness of any industrial production is its energy efficiency. Increasing energy efficiency is an essential factor for their optimal operation. Distillation plants are among such facilities.

Data-Driven Detection of Wheel Imbalance Using Accelerometer Signals and Fuzzy Logic

This paper presents an experimental study of imbalance detection in a rotating bicycle wheel using vibration measurements from a tri-axial accelerometer. A laboratory test bench, in which a bicycle wheel equipped with an in-wheel motor has been mounted on a stand and instrumented with an accelerometer for real-time vibration monitoring, has been developed. Experiments have been conducted under balanced conditions and under controlled imbalance introduced by adding external mass to the wheel rim. Acceleration signals have been collected and analyzed in time and frequency domains.

An Overview of Large Language Model Approaches for Automated Software Vulnerability Detection

This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)

In the modern world, software security has become a top priority, as it directly determines the reliability of digital solutions and user trust. The growing number of cyber threats and the increasing complexity of software systems highlight the necessity of using effective tools for control and vulnerability prevention.

Optimizing Firewall Policy Management in Microsegmented Networks

The article analyzes the tasks and challenges of managing complex corporate networks that arise during the migration from a perimeter-based security model to a Zero Trust Architecture (ZTA). It is established that neglecting these issues may lead both to a decline in service quality within microsegmented network infrastructures and to increased risks associated with the excessive complexity of firewall rules.

Automate Cloud Security Incident Management With a SOAR-Based Approach

Modern organizations increasingly integrate public cloud platforms such as AWS, Azure, and Google Cloud Platform into their infrastructure to enhance flexibility and scalability. However, multi- cloud environments introduce new cybersecurity challenges. Human factors and careless handling of access parameters to cloud resources can create serious threats. In particular, if an attacker gains access to authorization keys, they can not only control existing resources but also create new ones for malicious purposes-such as launching attacks, distributing malware, or mining cryptocurrencies.

SOFTWARE COMPLEXES' SUPPORT TEAMS AUTOMATED FORMATION METHOD BASED ON CANDIDATES' POLYFACTOR PORTRAITS ANALYSIS

The research is devoted to the investigation of scientific and applied problems of software complexes’/products’ comprehensive support automation and intellectualization. The main scientific and applied problem solved in this research is the task of ensuring an automation (with simultaneously increasing of intellectualization level) of the processes of software complexes’ support teams formation based on preliminary processing and further analysis of polyfactor portraits of available candidates.

APPLICATION OF NETWORK PROGRAMMING TOOLS FOR AUTOMATING INFORMATION AND COMMUNICATION NETWORK MANAGEMENT PROCESSES

The article is devoted to the study of the automation of management processes of information and communication networks using network programming tools. The work substantiates the relevance of automation as a key direction in the development of modern information and communication systems, driven by the growth in traffic volumes and the complexity of network architecture. It is shown that automation allows for increasing operational efficiency, reducing task execution time, and minimizing the human factor.

INTEGRATION OF MODERN ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE PROCESSES OF CONTINUOUS INTEGRATION AND DEPLOYMENT OF SOFTWARE

This article discusses modern approaches to organizing continuous integration (CI) and continuous delivery (CD) processes in software development using artificial intelligence (AI) technologies. The historical development of CI/CD is analyzed, along with their role in ensuring high-quality software, the main advantages and disadvantages of traditional approaches, and the prospects for integrating AI technologies to automate and optimize these processes.

Enhancing Iot-driven Logistics Solutions Using Blockchain-based Smart Contracts

Modern logistics monitoring solutions increasingly depend on the integration of IoT devices for real-time data collection, shipment tracking, goods and vehicle monitoring, and informed decision- making. However, current IoT-based logistics systems face significant challenges, including complex data management, limited interoperability among stakeholders, and inefficiencies resulting from centralized control mechanisms.