Digital Twin

Simulating Urban Futures: A Digital Twin Framework for Proactive Mobility Management Based on Hybrid Spatio-Temporal Graph Neural Network

The integration of transportation and urban planning is a key challenge for contemporary megacities.  A significant problem is the absence of tools capable of quantitatively assessing the future impact of urban development on mobility patterns.  For proactive urban mobility management, a framework of a comprehensive Digital Twin (DT) structure is proposed, based on the methodology of a multilayered, dynamic digital representation of the city's public transport system, relying exclusively on open data sources such as GTFS, OpenStreetMap, and OpenWeather.  To this end, a

CONCEPTUAL MODEL OF A PLM SYSTEM FOR LIFECYCLE MANAGEMENT OF CUTTING TOOLS USING DIGITAL TWINS: PREDICTINGTWINS

This paper presents a conceptual model for integrating digital twins into a Product Lifecycle Management (PLM) system, aiming to enhance the lifecycle management of cutting tools in high-performance manufacturing. The proposed model integrates key lifecycle stages—tool requirements analysis, conceptual design, prototyping, manufacturing, and usage—through a cohesive workflow.

Development of the Hardware and Software Platform for Modern Iot Solutions Based on Fog Computing Using CLOUD-NATIVE Technologies

The concept of digital transformation is very relevant at the moment due to the epidemiological situation and the transition of the world to the digital environment. IoT is one of the main drivers of digital transformation. The Internet of Things (IoT) is an extension of the Internet, which consists of sensors, controllers, and other various devices, the so-called "things," that communicate with each other over the network.