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Record W2899056315 · doi:10.1002/mop.31452

Capacitive couplings compact antenna for LTE/WiMAX/WLAN application

2018· article· en· W2899056315 on OpenAlexaboutno aff
Riki Patel, Trushit Upadhyaya, Arpan Desai

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWiMAXElectrical engineeringWi-FiAntenna (radio)Microstrip antennaPatch antennaAntenna measurementRadiation patternPhysicsEngineeringElectronic engineeringTelecommunicationsAcousticsWirelessWireless network

Abstract

fetched live from OpenAlex

Abstract A Compact antenna applicable for wireless communication fields like Long Term Evolution (LTE) frequency division duplex (FDD) Downlink Communication (1850‐1910 MHz Canada, Latin America), Worldwide Interoperability for Microwave Access (WiMAX) and Wireless local area network (WLAN) is proposed. The antenna structure is based on 1 outer ring resonators. Here, directly fed through the patch the stepped impedance transmission line with an optimized electromagnetic coupling outer ring. The proposed design operates in the lower frequency band from 1.79 to 1.94 GHz with 1.86 GHz center frequency and in the higher frequency band form 4.69 to 5.27 GHz. The compact antenna return loss is good agreement between simulated and measured results. The antenna gain value are 0.8 dBi at 1.86 GHz, 1.1 dBi at 4.75 GHz, 3.84 dBi at 4.97 GHz, and 2.64 dBi at 5.19 GHz. Moreover multi‐directional radiation to unidirectional radiation flow at the horizontal plane and vertical plane. A unidirectional radiation patterns based compact antenna utilized for wireless communication applications.

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 categoriesnone
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 score0.630
Threshold uncertainty score0.568

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 studies0.0000.001
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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2018
Admission routes1
Has abstractyes

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