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Бібліографічні деталі
Автор: Czaplewski, Bartosz
Формат: Recurso digital
Мова:Англійська
Опубліковано: Zenodo 2025
Предмети:
Онлайн доступ:https://doi.org/10.5281/zenodo.17422700
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Зміст:
  • <p>This dataset is associated with the publication titled "Neural Network for Evaluating the Operational Range of Antennas with Randomly Generated Designs" by Bartosz Czaplewski. </p> <p>Czaplewski B. (2025) Neural Network for Evaluating the Operational Range of Antennas with Randomly Generated Designs. In: Malyshkin V. (eds) <em>Computational Science – ICCS 2025.</em> Lecture Notes in Computer Science, vol 15123. Springer, Cham. <a target="_new" rel="noopener">https://doi.org/10.1007/978-3-031-97635-3_47</a></p> <p>The dataset contains:</p> <p>I. <strong>Pseudo-random antenna designs </strong>as vectors consisting of (as columns in data_v1_generator_v8_dim_103_scale_all_DESIGNS_v3.csv):<br>scale - an integer scaling factor, α ∈ ⟨24,36⟩,<br>feed-x - x-coordinate of the feed point,<br>feed-y - y-coordinate of the feed point,<br>vertex-1-x - x-coordinate of the antenna's 1st vertex,<br>vertex-2-x - x-coordinate of the antenna's 2nd vertex,<br>...<br>vertex-50-x - x-coordinate of the antenna's 50th vertex,<br>vertex-1-y - y-coordinate of the antenna's 1st vertex,<br>vertex-2-y - y-coordinate of the antenna's 2nd vertex,<br>...<br>vertex-50-y - y-coordinate of the antenna's 50th vertex.<br>All coordinates are normalized to the range <−1, +1>. The absolute physical dimensions of the antenna and the physical coordinates of the feed point can be obtained as α∙[vx, vy] [mm] and α∙[qx, qy] [mm], respectively.</p> <p>II. <strong>Metadata</strong> corresponding to the above antenna designs, including (as columns in data_v1_generator_v8_dim_103_scale_all_METADATA_v3.csv):</p> <p><strong>bandwidth_ranges</strong> - Frequency ranges where the antenna’s reflection response is below 3dB,<br><strong>num_bandwidths</strong> - The number of above-mentioned detected frequency ranges,<br><strong>center_frequencies </strong>- The center frequencies of the above-mentioned frequency ranges,<br><strong>bandwidth_spans </strong>- Absolute bandwidths of the above-mentioned frequency ranges,<br><strong>relative_bandwidth_spans</strong> - Relative bandwidths of the above-mentioned frequency ranges in relation to the center frequencies,<br><strong>bandwidth_classes</strong> - Assigned labels representing operating frequency ranges. Each label corresponds to one of the following frequency bands: 3.0–3.5 GHz, 3.5–4.0 GHz, ..., 7.5–8.0 GHz,<br><strong>num_classes </strong>- The number of assigned labels,<br><strong>3.0-3.5GHz </strong>- Binary representation of the assignment of the "3.0-3.5GHz" label (0 = no label, 1 = label assigned),<br><strong>3.5-4.0GHz </strong>- Binary representation of the assignment of the "3.5-4.0GHz" label (0 = no label, 1 = label assigned),<br><strong>4.0-4.5GHz </strong>- Binary representation of the assignment of the "4.0-4.5GHz" label (0 = no label, 1 = label assigned),<br><strong>4.5-5.0GHz</strong> - Binary representation of the assignment of the "4.5-5.0GHz" label (0 = no label, 1 = label assigned),<br><strong>5.0-5.5GHz </strong>- Binary representation of the assignment of the "5.0-5.5GHz" label (0 = no label, 1 = label assigned),<br><strong>5.5-6.0GHz </strong>- Binary representation of the assignment of the "5.5-6.0GHz" label (0 = no label, 1 = label assigned),<br><strong>6.0-6.5GHz</strong> - Binary representation of the assignment of the "6.0-6.5GHz" label (0 = no label, 1 = label assigned),<br><strong>6.5-7.0GHz</strong> - Binary representation of the assignment of the "6.5-7.0GHz" label (0 = no label, 1 = label assigned),<br><strong>7.0-7.5GHz </strong>- Binary representation of the assignment of the "7.0-7.5GHz" label (0 = no label, 1 = label assigned),<br><strong>7.5-8.0GHz</strong> - Binary representation of the assignment of the "7.5-8.0GHz" label (0 = no label, 1 = label assigned).</p> <p>III. <strong>An example of loading and displaying antenna designs</strong> written in Python (read_designs_from_file.py).</p> <p>IV. <strong>An example of loading and displaying label vectors</strong> written in Python (read_labels_from_file.py).</p> <p>Details regarding antenna designs as binary maps and the labeling process are described in the publication titled "Neural Network for Evaluating the Operational Range of Antennas with Randomly Generated Designs" by Bartosz Czaplewski. The link and full bibliographic description will be added after the publication of the paper.</p> <p>V. The files <em>“data_v1_generator_v8_dim_103_scale_all_METADATA_v3_classless_105k.csv”</em> and <em>“data_v1_generator_v8_dim_103_scale_all_DESIGNS_v3_classless_105k.csv”</em> contain antenna designs that are not suitable for optimization in any frequency band. These designs are labeled as <em>“classless”</em>, meaning that their entire label vector is [0].</p>