2023
DOI: 10.3390/en16031387
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Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Abstract: This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process control is identified as a key approach for achieving energy savings and improving product quality, process efficiency, and production flexibility. The goal of this research is to develop a cost-effective system with a minimal number of ultrasound sensors, thus reducing the energy consumption… Show more

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Cited by 4 publications
(3 citation statements)
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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%
See 1 more Smart Citation
“…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%
“…The solution uses frequencies between 5 GHz and 6 GHz for detection and localization of the human factor using the reflection method. In doing so, the devices operate in the classic configuration characteristic of many types of tomography, i.e., on the perimeter of the object or survey sphere [8]. In the case of radio tomography, the number of transmitters strictly depends on the size of the room to be covered and (because radar technology is used) the radiation characteristics of the antennas [9].…”
Section: Introductionmentioning
confidence: 99%
“…CNNs are also used to obtain high‐resolution images or other forms of bidimensional data from low‐resolution images or measurements matrices, such as in the exemplar application described in ref. [50].…”
Section: Methodsmentioning
confidence: 99%