modeling

Evaluating the efficiency of a parcel locker network: a case study of variable demand and storage duration in Pardubice city

Last-mile delivery is the last element of the supply chain. It plays a key role in urban logistics processes related to the efficient and environmentally friendly transportation of goods within an urban area. The growth of e-commerce, the need to minimize the environmental impact of transportation, and the increasing demand for efficient delivery services require alternatives to traditional home delivery. Numerous studies suggest that the use of parcel locker networks helps optimize transportation and reduce logistics costs.

MODELING OF PROPERTY EVALUATION OF SYSTEM-ORIENTED MEASURING INSTRUMENTS

The main purpose of system-oriented measuring instruments (MI) is to ensure automated collection, processing, analysis and transmission of measurement data as part of complex information and measurement systems. Such MI are used in automated production systems, intelligent measuring systems, in the control of technological processes and in conducting scientific research, etc. The main properties of system-oriented MI are provided by a combination of modern hardware, powerful digital processing algorithms and integration into automated systems.

Synthesis of a Macromodel for a Virtual Signal Simulator of Adaptive Acoustics

This work is dedicated to the development of a macromodel for the virtual signal simulator of adaptive acoustics, Data@Sim, based on the formal analogy method. The structure of modeling electro- acoustic processes in adaptive acoustics tasks and approaches to the unification of research on electrical and acoustic signals are presented. An algorithm for synthesizing virtual signals that accounts for temporal parameters of sound wave propagation and attenuation, as well as noise and interference effects, is proposed.

STUDY OF RELIABILITY AND FAULT TOLERANCE MANAGEMENT IN INFORMATION AND COMMUNICATION NETWORKS: MODELING AND TESTING OF DEFAULT GATEWAY REDUNDANCY PROTOCOLS

The article is devoted to researching reliability and fault tolerance management mechanisms in infocommunication networks, focusing on modeling and testing of gateway redundancy protocols. The work considers the VRRP (Virtual Router Redundancy Protocol) and GLBP (Gateway Load Balancing Protocol) protocols, which ensure continuous network operation in the event of a primary gateway failure. The purpose of the study is to compare these protocols using the virtual environments EVE-NG and Containerlab, as well as to test them on physical and virtual devices.

DISCRETE APPROXIMATION IN THE PROBLEMS OF PLACING VECTOR GRAPHIC OBJECTS ON A PLANE

This article presents a new approach to finding possible placements of vector objects on a plane using discrete approximation. The proposed method significantly reduces the computational complexity of the problem by converting vector images into a discrete form represented by a pixel grid. This enables faster intersection checks between objects through the analysis of occupied grid elements, thus simplifying the process of modeling graphic placement.

The role of functional activation in neural networks in the context of financial time series analysis

Nowadays, neural networks are among the most popular analysis tools.  They are effective in solving classification, pattern recognition, and clustering problems.  This paper provides a detailed description and analysis of the operational principles of two neural networks, namely a Siamese network and a multilayer perceptron.  A model for using these neural networks in time series forecasting is proposed.  As an example, a web application was created in which the described neural networks were used to analyze the correlation between pairs of financial assets and assess t

Impact of information on solar flares and earthquakes on the prediction of the annual dynamics of the infrasound wave envelope

The research results on the effectiveness of using data on solar flares and earthquakes to predict the infrasound wave envelope are presented.  The resulting SARIMAX model, enhanced with the aforementioned external factors, exhibits a 30% reduction in mean squared error and a 29% increase in the coefficient of determination compared to the previously presented ARIMA model.  Additionally, a significant achievement of the new approach, compared to previous ones, is the successful reproduction of the sharp intensity drop in the envelope during the August–September–October

DEVELOPMENT OF A PROGRAM FOR MODELING AND SIMULATING A COLLABORATIVE ROBOT WORKSPACE

The article presents the software development for modeling and simulating the workspace of a collaborative robot taking into account the presence of people. This is an important step in creating safe and efficient robotic systems within Industry 5.0 concept. The problem is posed by the need to ensure safety during the interaction of the robot with the operator, which is relevant for modern production processes with high human participation.

USING ARIMA MODELS FOR FORECASTING OF OVERALL CRIME RATE IN UKRAINE

Crime rate forecasting is a critical element in the development of strategies for sustainable socio-economic growth in a rule-of-law state. Accurate forecasting becomes particularly important in times of economic instability and geopolitical crises, as is the case in Ukraine. This article explores the problem of constructing and applying autoregressive integrated moving average (ARIMA) models to predict the total number of crimes committed in Ukraine.

Predicting the Duration of Treatment Using Personalized Medical Data

The article describes the problem of data personalization by identifying the individual characteristics necessary to solve the personalization problem. The essence of the researched problem of personalization and the solution of tasks of the estimated correlation between individual characteristics and the solution using the forecasting model has been also highlighted.