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C-Band flexible and portable circularly polarized textile-reflectarray (TRA)

2017· article· en· W2765934313 on OpenAlexaff
Muhammad M. Tahseen, Ahmed A. Kishk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsOpticsElectrical conductorMaterials sciencePhase compensationBandwidth (computing)Tunable metamaterialsThread (computing)Circular polarizationPhysicsMicrostripComputer scienceMetamaterialTelecommunicationsComposite material

Abstract

fetched live from OpenAlex

A novel C-Band flexible, and portable circularly polarized (CP) textile-reflectarray (TRA) design using conductive thread, is presented. Among several textile samples under test (SUT), three of them are selected based on their suitable material characteristics. The material parameters of SUT are extracted using resonance technique which is further are in the design of the TRA elements. A conductive cross-bowtie shape is used as a TRA element. To achieve flexibility, and the roll-ability in the proposed TRA, the solid ground (GND) is replaced with a frequency selective surface (FSS). A slotted circular patch is used as an element for the FSS. The upper radiating layer and the lower FSS layer are to be embroidered using conductive thread. The phase characteristics of the proposed TRA element are obtained using the rotation technique where the cross-bowtie elements rotate counter clockwise (CCW) for the spatial delay phase compensation. An FSS-based 15 × 15 TRA is designed in the C-Band using the CST microwave studio for the full wave analysis. A left hand circular polarized (LHCP) helical feed is used to excite TRA. The TRA performance is evaluated at 5.8 GHz. The proposed TRA provides, a maximum gain of 24.2 dB, a 1.5 dB axial ratio (AR) bandwidth of 12.8 %, and highest aperture efficiency of 30.3 %.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.514

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 head0.017
GPT teacher head0.246
Teacher spread0.229 · 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
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

Citations3
Published2017
Admission routes1
Has abstractyes

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