Compact Reconfigurable Slot antenna for UWB, Wide band and Narrow band applications
Bibliographic record
Abstract
this work presents a compact slot antenna with reconfigurable frequency for Ultra Wide Band (UWB), wide band and narrow band applications. A very compact size with 24mm x 8mm x 1.6mm is shown for the proposed compact slot antenna. A combination of the elementary slot is placed in the back side of the proposed antenna to realize a UWB band width. Three switches ON/OFF (PIN diodes) are integrated in the stepped slot, eight resonant modes are achieved by switching the three diodes in two states ON and OFF position. The UWB, the wide band, the dual band and the narrow modes are obtained. An UWB bandwidth is achieved between 2.9GHz and 11.6GHz in the first mode, in the second mode two frequency bands are realized between 2.65 GHz and 4.2GHz in the frequency center of 3.2GHz and between 4.95GHz and 6.88GHz in the frequency center of 6.2GHz. A wide impedance band width is obtained in the third mode; this mode covers various applications. In the last mode, two frequency bands are achieved in 2.55GHz and in 2.78GHz respectively. A good radiation pattern is observed and realized by the proposed antenna where, in H-Plan an omnidirectional radiating is achieved and bidirectional radiation in the E-Plan for the operating frequencies. Two simulators are used to realize the simulated results of proposed antenna. A good agreement is shown between the two simulators in term of impedance matching.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".