A Kagome Crest Fractal Optimized Quad-Band Antenna for Wireless Applications
Bibliographic record
Abstract
The design of multiband antenna plays a vital role and enhances the functionality of mobile equipment for various wireless services over the last decade.This paper presents a sophisticated quad-band fractal microstrip patch circular monopole antenna with a star shaped slot.The proposed structure is iterated two times to have a Kagome crest fractal antenna.In the paper, optimization of quad band antenna using the Quasi newton Optimizer (QNO) is also presented.Optimizing various design parameters for the proposed antenna in HFSS is simulated.The antenna dimensions are 100mmx100mmx1.6mmoccupying an area of 100cm 2 .Model simulation and experimental validation is done for three frequency ranges, 2. resonating at 3.1GHz, 5.2GHz, 6.8GHz and 8.7GHz respectively.The proposed antenna operates for several wireless applications including RF Energy harvesting, dedicated short range communication, Satellite communication, wireless power transfer to a micro aerial vehicle, etc. can be covered with these band of frequencies.VSWR, return loss, radiation pattern, gain is some of the parameters considered to prove the performance of the fabricated design prototype.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".