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Novel Miniaturized Wearable Frequency Selective Surface Design for Stable Nearfield Band-stop Characterization

2020· article· en· W3128060541 on OpenAlexaff
Amirashkan Darvish, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsElectromagnetic shieldingFrequency bandAttenuationAcousticsTransmission (telecommunications)HarmonicsRadio spectrumTunable metamaterialsComputer scienceMulti-band deviceRadio frequencyElectronic engineeringPhysicsElectrical engineeringOpticsEngineeringTelecommunicationsAntenna (radio)Metamaterial

Abstract

fetched live from OpenAlex

This work aims to introduce a novel aspect of Frequency Selective Surface (FSS), which is essential for designing wearable shields in the X-band spectrum. Based on the provided discussion, a flexible band-stop scheme is proposed resulting in stabilized shielding effectiveness (SE) both in the nearfield (NF) and farfield (FF). To analyze the NF filtering capability of FSS, some discrete localized electric field probes are placed at different points of the NF zone. The frequency spectrum of the NF signal is extracted for two in-band and out-band harmonics. The final design shows one stabilized transmission zero. The transmission zero attenuation does not significantly change as a function of spatial distance from the FSS. Similarly, the shield does not experience a resonant frequency shift in the NF zone.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

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

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 head0.037
GPT teacher head0.227
Teacher spread0.190 · 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 teacher head, not a consensus.

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

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
Published2020
Admission routes1
Has abstractyes

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