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Record W1973865738 · doi:10.1109/iciev.2014.6850766

Conversion of an ultra-wide-band (UWB) antenna to dual-band antenna for wireless body area network (WBAN) applications

2014· article· en· W1973865738 on OpenAlexaff
Md. Saad-Bin-Alam, Sanjida Moury

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMicrostrip antennaBluetoothOmnidirectional antennaAntenna rotatorAntenna (radio)Computer sciencePatch antennaElectrical engineeringTelecommunicationsElectronic engineeringCoaxial antennaWirelessEngineering

Abstract

fetched live from OpenAlex

This paper proposes a dual-band microstrip patch antenna to operate at both WLAN Bluetooth band (2.2 GHz to 2.83 GHz) and ultra-wide-band (4.7 GHz to 12.69 GHz). The proposed antenna is a modified version of an UWB microstrip antenna. The antenna's radiation pattern is almost quasi/partial omni-directional and its highest gain level is reached to 5.23 dB. This antenna can be used for wireless body area network (WBAN) sensors, which currently rely on Bluetooth and UWB frequency Besides, this antenna may found other possible areas of operation e.g. wireless router, RFID tag, GPS tracker, ambient RF energy harvesting at the frequency range of ISM bands.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.210
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2014
Admission routes1
Has abstractyes

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