MétaCan
Menu
Back to cohort
Record W4402350615 · doi:10.1109/tap.2024.3452939

Compact Fully Printed GPS/GNSS Antenna Using Embedded MTM-EBGs

2024· article· en· W4402350615 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2024
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlobal Positioning SystemGNSS applicationsAntenna (radio)Computer science3d printedTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

A compact and low-profile antenna for global navigation satellite systems (GNSSs), with particular optimization for triband Global Positioning System (GPS) coverage, is presented. A dual-band antenna is developed with the use of metamaterial-based electromagnetic bandgap structures (MTM-EBGs) that covers GPS L1, L2, and L5 bands and a majority of the GNSS spectrum. The patch antenna is fabricated on two sides of a single substrate sheet above a ground plane, with a 3-D printed polylactic acid (PLA) substrate spacer for simple fabrication. The antenna is fed by a wideband and planar feed network below the ground plane, and simulation and measurement results show good performance in terms of matching, gain, pattern shape, and axial ratio, demonstrating that this antenna is an excellent candidate for use with modern high-accuracy multiband and multisystem GPS/GNSS receivers.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.277
Teacher spread0.244 · 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