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Record W2961620903 · doi:10.18280/i2m.180203

Medical Plus Shaped Antenna for S, C, X and Ku Band Applications

2019· article· fr· W2961620903 on OpenAlexvenueno aff
Penchala Reddy Sura, Sanam Narayana Reddy

Bibliographic record

VenueInstrumentation Mesure Métrologie · 2019
Typearticle
Languagefr
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsKu bandAntenna (radio)Computer scienceTelecommunications

Abstract

fetched live from OpenAlex

In present days multiband operation of an antenna performs an inspiring role in wireless communication.In this paper, a Medical plus shaped antenna is proposed for S, C, X and Ku Band Applications and analyzed.The intended antenna constitutes a medical plus shaped radiating patch on the cost effective FR4-substrate having a thickness of about 1.6mm.A feed line of 50 ohms is used to feed this antenna.Here a preferable impendence matching is attained by truncating a portion of the ground surface.The intended antenna has the potential to operate between the frequency range of 2.79 GHz to 5.61 GHz, 6.88 GHz to 8.69 GHz and 11.43 GHz to 14.34 GHz with S11 below -10 dB.The design of the antenna and its behavior over various frequencies ranges is done with the use of HFSS.The proposed antenna has higher gains at three bands.The simulated antenna is also fabricated and a fine agreement is attained in between simulated and measured parameters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.019
GPT teacher head0.276
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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