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dr hab. inż. Anna Pietrenko-Dąbrowska
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-60678-3
Open Research DataThe dataset was generated during a project aimed at designing a printed wideband antenna with a planar geometry for Internet of Things (IoT) applications. The proposed design exploits a coplanar-waveguide-fed modified microstrip line monopole for the excitation of circularly polarized waves radiating in the broadside direction. The impedance bandwidth...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-59512-7
Open Research DataThe dataset was generated using a procedure that allows for independent control of all center frequencies of multi-band passive microwave circuits. To achieve this goal, an automated decision-making procedure is developed in which a set of orthogonal scaling directions are determined based on their effect on individual circuit bands, and using auxiliary...
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Numerical and experimental generated data during project https://doi.org/10.1109/ACCESS.2024.3407978
Open Research DataThe dataset was generated using a procedure for a fast globalized optimization of passive microwave components. It combines a machine learning procedure, specifically, an iterative construction and refinement of fast surrogates (with infill criterion being a minimization of the predictor-yielded objective improvement) with a response feature technology,...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-82701-3
Open Research DataThe dataset was generated using a procedure for expedited globalized parameter adjustment of microwave passives. The search process was embedded in a surrogate-assisted machine learning framework operating in a dimensionality-restricted domain, spanned by the parameter space directions being of importance in terms of their effects on the circuit characteristic...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-80182-y
Open Research DataThe dataset was generated using a machine learning procedure for cost-effective global optimization-based miniaturization of antennas. The technique included parameter space pre-screening and the iterative refinement of kriging surrogate models using the predicted merit function minimization as an infill criterion.
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-72478-w
Open Research DataThe dataset was generated using a technique for fast antenna design, which leveraged a machine learning framework with an infill criterion employing predicted enhancement of the merit function, utilizing a particle swarm optimizer as the primary search engine, and employing kriging for constructing the underlying surrogate model. The model operated...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-70246-4
Open Research DataThe dataset was generated using a technique for cost-effective and reliable behavioral modeling of microwave passives. Central to our method is a fast global sensitivity analysis (FGSA) procedure, which is devised to identify correlations between design parameters and quantify their impacts on circuit characteristics. The most significant directions...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-67234-z
Open Research DataThe dataset was generated during a project aimed designing a novel negative refractive index metamaterial (NIM). The proposed metamaterial exhibits negative effective permittivity and negative effective permeability at a millimeter wave frequency of 28 GHz. This attractive feature is utilized to enhance the gain of a microstrip patch antenna (MPA)....
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Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3369395
Open Research DataThe dataset was generated using a procedure enabling independent scaling of multiple operating frequencies of antennas. The fundamental component of the developed approach is the identification of orthogonal scaling directions affecting individual center frequencies, which is a nontrivial extension of concurrent parameter adjustment. Our technique has...
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Numerical and experimental generated data during project https://doi.org/10.1109/TAP.2024.3370296
Open Research DataThe dataset was generated using a procedure for efficient global optimization (EGO) of multiband antennas, where the surrogate is repeatedly built and refined using custom-defined response features. The infill criteria are based on minimizing a surrogate-evaluated objective function, whereas the underlying optimization engine is the particle swarm optimization...
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Numerical and experimental generated data during project https://doi.org/10.1109/TMTT.2024.3359703
Open Research DataThe dataset was generated using a procedure for low-cost and reliable multiobjective optimization (MOO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multiresolution electromagnetic (EM) analysis. We integrate the search process into a machine learning...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-023-45890-x
Open Research DataThe dataset was generated using a procedure for low-cost modeling of microwave components utilizing random observables. The major contributions of the work include the implementation of the explicit dimensionality reduction of the confined surrogate model domain and the introduction of this concept into a complete cost-efficient framework for the modeling...
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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-77367-w
Open Research DataThe dataset was generated using a two-stage methodology for global design optimization of antenna systems. Its keystone components included dimensionality reduction realized by means of fast global sensitivity analysis (FGSA), a machine learning (ML) procedure involving kriging surrogate models, and fine-tuning of antenna parameters using accelerated...
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Numerical and experimental generated data during project https://doi.org/10.3390/electronics12163462
Open Research DataThe dataset was generated using a procedure for unsupervised specification-driven design of planar antennas. The presented methodology capitalizes on a flexible and scalable antenna parameterization, which enables the realization of complex geometries while maintaining reasonably small parameter space dimensionality. A customized nature-inspired algorithm...
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Long term measurements of PM1, PM2.5, PM10 and NO2 in open-air at Gdansk (Poland) area using low-cost sensors together with the reference results
Open Research DataThe measurements results of open-air measurements made using the following low-cost sensors: particulate matter (PM) sensor SPS30 from Sensirion, NO2 electrochemical sensor SGX-7NO2 from SGX Sensortech, NO2 electrochemical sensor 7E4-NO2 from SemaTech, compact MOS air quality sensor MiCS 2714 from SGX Sensortech, BME280 (Bosch) environmental sensor...
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