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Record W2956656651 · doi:10.1049/iet-map.2018.6212

Meta‐surface enabled hepta‐band compact antenna for wearable applications

2019· article· en· W2956656651 on OpenAlexaff
Maksud Alam, Binod Kumar Kanaujia, Mirza Tariq Beg, Sachin Kumar, Karumudi Rambabu

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2019
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Alberta
FundersMinistry of Electronics and Information technology
KeywordsWearable computerSurface (topology)Antenna (radio)Computer scienceElectronic engineeringEngineeringTelecommunicationsEmbedded systemMathematicsGeometry

Abstract

fetched live from OpenAlex

This study proposes a new hepta‐band antenna that consists of an inductive ground plane and slots loaded patch for the multiband body‐worn scenario. The phase distribution is optimised by considering a 7 × 7 array of periodic square patches on the metallic ground‐backed substrate in such a way that resonant modes of patch slots interact with the resonant modes of meta‐resonators of inductive ground to achieve hepta‐band behaviour with desired radiation characteristics. Each unit cell corresponds to a phase shift of 3.6° out of available phase distribution of 180°. The seven bands are targeted at 1.8, 2.45, 2.96, 3.5, 3.8, 4.2, and 4.5 GHz which supports GSM (1.8 GHz), WLAN (2.4 GHz), LTE (2.5 GHz), Wi‐MAX (3.5 GHz), sub‐6 GHz 5G band (3.4‐4.2 GHz), navigation (2.96 GHz), and satellite (4.5 GHz) applications. It is also demonstrated that an inductive ground plane can be used to get reduced SAR and increased FBR, making antenna useful for wearable applications. The proposed antenna has a patch size of 28.84 × 28.84 mm upon a 0.4 mm thick substrate of permittivity 4.3. Inductive ground is made of via‐free periodic square patches each of size 5 × 5 mm on the 2.6 mm thick metallic ground‐backed substrate.

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 score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.020
GPT teacher head0.229
Teacher spread0.209 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

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