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Record W1924890037 · doi:10.1109/aps.2003.1219386

A compact wide-dual-band antenna for bluetooth and wireless LAN applications

2004· article· en· W1924890037 on OpenAlexaff
K. Lan, S.K. Chaudhuri, S. Safavi‐Naeini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicBluetooth and Wireless Communication Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBluetoothMulti-band deviceElectrical engineeringMicrostrip antennaOmnidirectional antennaWirelessAntenna (radio)Computer scienceElectronic engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A compact, wide-dual-band antenna is designed to satisfy 2.4-2.5 GHz and 5.0-6.0 GHz Bluetooth and wireless LAN applications. The antenna is composed of a rectangular dielectric resonator (DR), a foam former and a grounded inverted-L conductor plate with L-shaped slot. The first band with bandwidth 120 MHz is derived from the inverted-L antenna mode. The bandwidth of the second band is over 1 GHz, which is generated by two hybrid modes that are very close to each other. These modes are produced by the DRA and parasitic plate. The wide bandwidth and dual-band required for different Bluetooth and wireless LAN applications are readily achieved using the proposed antenna structure. Radiation patterns give omni-directional coverage in the azimuth plane. Thus this antenna satisfies simultaneously almost all the Bluetooth and wireless LAN application needs at different frequencies. The design is surface mountable and can be realized by LTCC technologies to obtain low cost and light weight.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.002

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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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