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Record W1486956383

A low-cost small-size 60 GHz quadrature coupler for IPD-based SiP radio systems

2014· article· en· W1486956383 on OpenAlexaff
Yuan‐Chia Hsu, Ibrahim Haroun, Da‐Chiang Chang, Rony E. Amaya, Khelifa Hettak

Bibliographic record

VenueAsia-Pacific Microwave Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsCommunications Research Centre CanadaCarleton University
Fundersnot available
KeywordsMicrostripRat-race couplerReturn lossRadio frequencyCapacitive sensingMaterials scienceCoplanar waveguideInsertion lossHybrid couplerOptoelectronicsElectrical engineeringElectronic engineeringMicrowaveTelecommunicationsComputer sciencePower dividers and directional couplersEngineering
DOInot available

Abstract

fetched live from OpenAlex

A reduced-size 60-GHz coplanar-waveguide (CPW) branch-line coupler has been demonstrated in integrated passive device (IPD) technology and is presented in this paper. The fabricated coupler has a size-reduction of more than 85% compared to that of a conventional CPW branch-line coupler. The size reduction is achieved by utilizing CPW transmission lines loaded with microstrip open-circuited stubs as capacitive elements. The measured results at the coupler's output ports showed a phase error of less than 3 degrees and an amplitude imbalance of less than 1.3 dB over the frequency band of 57–64 GHz. The measurements also showed an insertion loss of less 1 dB and return losses better than 14 dB over the frequency band of interest. The proposed coupler is well suited for use in low cost high performance System-in-Package (SiP) V-band radio front-ends for high data rate wireless 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 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: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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
GenreMethods

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

Citations3
Published2014
Admission routes1
Has abstractyes

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