Methods of clustering parameters in the creation of neural network multi-mode dynamic models of aircraft engines

The presence on modern aviation gas-turbine engines of dozens and even hundreds of sensors for continuous registration of various parameters of their operation makes it possible to collect and process large amounts of information.This stimulates the Game development of monitoring and diagnostic systems.At the same time the presence of great volumes

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An Urban Digital Twin Framework for Reference and Planning

Urban management systems evolve from merely Framed Art overseeing urban growth to comprehending interactions among cities’ natural, physical, cyber, and social systems.Urban digital twins leverage emerging technologies and serve as platforms to support city transitions.However, a generic urban digital twin framework with essential building b

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Joint Design of Antenna Selection and Resource Allocation in Massive MIMO-Based Ultra Dense Heterogeneous Networks

Fifth generation (5G) communication network is anticipated to satisfy the need for higher data rates, less latency, ubiquitous connectivity with minimum consumption of energy and acceptable quality of Service (QoS).The massive MIMO and heterogeneous network (HetNet) has evolved as a promising technology to address the aforementioned challenges.In t

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