Use of the double-stage LSTM network in electrical tomography for 3D wall moisture imaging

Kłosowski, Grzegorz; Hoła, Anna; Rymarczyk, Tomasz; Mazurek, Mariusz; Konrad, Niderla; Rzemieniak, Magdalena

doi:10.1016/j.measurement.2023.112741

Cited by 5 publications

(2 citation statements)

References 32 publications

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“…Neural networks (NNs) [4,8,9,21,23,24,29] are one of the most used types of machine learning methods and are usually utilized for classification or regression analysis. A NN is created by developing multi-layer perceptions in a particular order.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…With the development of radar targeting techniques [1][2][3] and the increased availability of microwave technology, it has become an excellent alternative to the already well-known targeting techniques using the transmission properties of radio devices [4,5]. Amplitude, frequency, or phase analysis of the reflected wave often allows an object and its position in space to be detected more accurately and quickly.…”

Section: Introductionmentioning

confidence: 99%

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Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings

Styła,

Kozłowski,

Tchórzewski

et al. 2024

Energies

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The main objective of the research presented in the following work was the adaptation of reflection-radar technology in a detection and navigation system using radio-tomographic imaging techniques. As key aspects of this work, the energy optimization of high-frequency transmitters can be considered for use inside buildings while maintaining user safety. The resulting building monitoring and control system using a network of intelligent sensors supported by artificial intelligence algorithms, such as logistic regression or neural networks, should be considered an outcome. This paper discusses the methodology for extracting information from signal echoes and how they were transported and aggregated. The data extracted in this way were used to support user navigation through a building, optimize energy based on presence information, and increase the facility’s overall security level. A band from 5 GHz to 6 GHz was chosen as the carrier frequency of the signals, representing a compromise between energy expenditure, range, and the properties of wave behavior in contact with different types of matter. The system includes proprietary hardware solutions that allow parameters to be adjusted over the entire range and guarantee adaptation for RTI (radio tomography imaging) technology.

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