optimization

This article is devoted to the development and substantiation of a comprehensive model for evaluating the quality of interface prototyping in software systems. The relevance of the study is determined by the increasing complexity of modern interfaces and the need to make well-founded design decisions prior to the software implementation stage. The paper addresses the problem of formalizing the evaluation of prototype quality while accounting for the multidimensional nature of evaluation criteria and the significant proportion of subjective qualitative characteristics.

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.

This work addresses the problem of producer gas cleaning in low-capacity units (up to 40 m³/h) to ensure the reliable operation of internal combustion engines. Since traditional dry cyclones do not provide the required purity, the objective of this study is the optimization of the design parameters of a compact inertial-water filter.

The organization of security in distributed information and communication systems is often complicated by their scale, topological complexity, and the need to monitor large volumes of traffic. Classical perimeter-based placement of intrusion detection systems can be ineffective under resource constraints.

The paper investigates the influence of optimization methods on the efficiency of an extremal control system based on acoustic anomaly detection. The proposed system can detect abnormal equipment operating modes by analyzing sound characteristics and automatically adapting control parameters to new operating conditions. Using mathematical modeling, the operation of the system with different optimization algorithms (gradient descent, Momentum, Nesterov and RMSProp) was studied.

The article examines the theoretical and practical foundations of developing a system for optimizing import activity within enterprises. The essence of the definition ‘optimization of import activity’ is defined as a process aimed at improving the management of foreign economic operations in order to minimize costs, enhance efficiency, adaptability, and competitiveness under conditions of global market transformation.

Interaction with customs authorities is a crucial component of successful foreign economic activity, especially for companies involved in regular import operations. The efficiency of such interaction directly influences the speed, cost, and reliability of international trade processes. Therefore, the goal of this study is to analyze and improve the mechanisms of customs interaction in the context of the activities of LLC ‘Lviv Auto Hub’ – a company engaged in systematic import of vehicles into Ukraine.

This paper proposes a cyber-physical modeling framework that enables a planner to optimally position implantable medical devices in therapeutic systems that operate interstitially. To inspire a model, we use applications such as interstitial photodynamic therapy and brachytherapy, and frame the problem as constrained packing of cylindrical objects with spatial and angular feasibility conditions. An approach combines anatomical geometry, device orientation restrictions, and tissue-specific feasibility to create an integrated optimization model.

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.

The object of the study is the process of organizing a descriptor repository in content-based image retrieval systems. The subject of the study is a method of numerical optimization of descriptor clustering in a multidimensional space. The aim of this work is to develop a clustering optimization method in the Multidimensional Cube model to improve search efficiency. The core idea is to ensure a more uniform distribution of descriptors across clusters by adjusting interval boundaries in each dimension, which reduces imbalance in cluster density and improves retrieval performance.