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Reconfigurable Switched-Beam Antenna Using Cylindrical Bow Tie FSS Window

2018· article· en· W2908723715 on OpenAlexaff
Muamba Mukendi Leingthone, Nadir Hakem

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsBow tieWindow (computing)Reconfigurable antennaAntenna (radio)Directional antennaBeam (structure)Periscope antennaMicrostrip antennaOpticsElectrical engineeringMaterials scienceAcousticsComputer sciencePhysicsEngineeringAntenna efficiency

Abstract

fetched live from OpenAlex

The present paper relates to the design and implementation of a 2.45 GHz reconfigurable switched-beam antenna based on frequency selective surface (FSS). High frequency PIN diodes are accurately incorporated in the discontinuous Strip to reconfigure the electromagnetic (EM) wave. The switching window is created to electromagnetically emulate a transparent / opaque cylindrical surface. This surface is used to implement a reconfigurable antenna with a directive beam covering all azimuth angles plane by 6 equidistant angle. The simulated results confirm that this antenna can operate efficiently over a bandwidth of 130 MHz with a narrow beam width up to 30°. In addition, the level reached for the realized gain is about 13.8 dB at the frequency of 2.45 GHz. The proposed reconfigurable antenna is suitable for wireless sensor systems.

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 categoriesInsufficient payload (model declined to judge)
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 score0.957
Threshold uncertainty score0.999

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)0.0020.001

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 head0.024
GPT teacher head0.236
Teacher spread0.212 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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