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Record W7083808270 · doi:10.1109/jflex.2025.3615904

Transformation of Artistic Drawings Into WLAN-Band Wearable Antennas

2025· article· en· W7083808270 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 Journal on Flexible Electronics · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsConcordia University
Fundersnot available
KeywordsAntenna (radio)Ground planeShielded cableOmnidirectional antennaMicrostripMicrostrip antennaSlot antennaDirectional antennaTransmission (telecommunications)Wireless

Abstract

fetched live from OpenAlex

A novel concept of transforming complex and artistic geometries into antennas in the wireless local area network (WLAN) band is presented. Four artistic antennas are designed in the Wi-Fi band and measured. All antennas are based on the microstrip antenna concept. In order to be flexible for wearable applications, the antennas are embroidered on the textile material using conductive thread. Based on the composition of the textile material and their properties, some of the textile samples are finalized from several samples under test (SUT), which are further used in the antenna design. The dielectric constant of the SUT is extracted using the resonance technique. The solid copper ground (GND) plane is made of shielded fabric, which provides the required flexibility. A low power short-range WI-FI band communication system is designed for testing the transmission and reception authentication from the antennas embedded on several dresses. The simulated and measured performance of the antennas in terms of matching bandwidth, realized gain, radiation efficiency, and radiation patterns is presented, which shows good agreement (evaluated at 2.45 GHz).

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)0.001
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: none
Teacher disagreement score0.933
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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