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Record W2624682378 · doi:10.1049/iet-map.2017.0284

Gain improvement of cylindrical dielectric resonator antenna using flat reflector plane: a new approach

2017· article· en· W2624682378 on OpenAlexaff
Sounik Kiran Kumar Dash, Taimoor Khan, Binod Kumar Kanaujia, Yahia M. M. Antar

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2017
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsReflector (photography)OpticsDielectric resonator antennaDielectric resonatorDielectricResonatorPlane (geometry)Antenna (radio)Materials scienceCassegrain antennaHigh-gain antennaAcousticsPeriscope antennaRadiation patternPhysicsEngineeringOptoelectronicsTelecommunicationsGeometryMathematics

Abstract

fetched live from OpenAlex

A significantly feasible high‐gain cylindrical dielectric resonator antenna with wideband characteristics is investigated. A simple microstrip‐fed slot coupling technique is adopted for excitation of the cylindrical resonator, which is placed over a square slot made at the centre of the ground plane. The upper side of the dielectric resonator is kept open for interference free radiation. To reduce the unnecessary back radiation, the bottom side of the ground plane substrate is covered by a single side copper coated dielectric reflector (1.35 λ 0 × 1.35 λ 0 × 0.04 λ 0 ) at a small air‐gap distance of 4 mm. This helps in abrupt gain enhancement of 101.48% over 17.14% impedance bandwidth. The effect of the reflector on bandwidth, gain and radiation pattern is studied. For validation purpose, a prototype is fabricated and characterised. The measured peak gains are found to be 10.84 and 10.45 dB while resonating at 7.3 and 8.08 GHz, respectively, which are in good agreement with their simulated counterparts.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

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 head0.027
GPT teacher head0.257
Teacher spread0.230 · 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.

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

Citations12
Published2017
Admission routes1
Has abstractyes

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