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Record W2904079253 · doi:10.1049/sbew543f_ch8

Flexible and wearable antennas

2018· book-chapter· en· W2904079253 on OpenAlexaff
Muhammad M. Tahseen, Ahmed A. Kishk

Bibliographic record

VenueInstitution of Engineering and Technology eBooks · 2018
Typebook-chapter
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsConcordia University
Fundersnot available
KeywordsElectrical engineeringWearable computerAntenna (radio)Effective radiated powerGSMEngineeringPlanarMobile phoneElectronic engineeringComputer scienceEmbedded systemTelecommunications

Abstract

fetched live from OpenAlex

in this chapter discusses the planar-inverted F-antenna (PIFA) is used for the wearable application, which reduces the effect of radiation on the human body by reducing the radiated power towards the body. As the Global System for Mobile Communication (GSM) transmitted power is reduced, the battery life is increased. This performance is achieved due to matching the feed with the load that reduces the power loss because of reduction in the reflected power. A FlexPIFA antenna is designed from the flexible dielectric material for the smart clothing application. The transmission range was calculated based on Friis expression. Another PIFA antenna that is integrated with the human body for a mobile phone.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.917
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.008
GPT teacher head0.182
Teacher spread0.174 · 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 designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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