Formalizing and securing relationships on multi-task metric learning for IoT-based smart cities

Abstract

The use of modern information and communication technologies is an essential condition for the formation of the transport infrastructure of a smart city. Scientific and methodological approaches are developed to effectively monitor the transport infrastructure of a smart city based on multi-channel metric learning in the Internet of Things. The proposed solutions provide invariance to the type and nature of the movement of objects. The principles of technical implementation of the proposed method are substantiated using the characteristics of unmanned aerial vehicles of a smart city. Adaptive automatic switching of transport infrastructure monitoring channels is implemented in the form of a neural network analyzer software.

Models of environmental safety monitoring in the management of production processes in quarries

“…Architecture Language) notation [18]. The formed conceptual model is based on the requirements for the integration of solutions from the field of Industry 4.0 for the digital transformation of enterprises [19], such as:…”