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Record W3139980060 · doi:10.1109/mwsym.2010.5514835

Experimental characterization of EC-CPW transmission lines and passive components for 60-GHz CMOS radios

2010· article· en· W3139980060 on OpenAlexaff
Ibrahim Haroun, Jim Wight, Calvin Plett, Aly E. Fathy

Bibliographic record

Venue2010 IEEE MTT-S International Microwave Symposium · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsCarleton UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsImpedance matchingElectric power transmissionCoplanar waveguideElectrical impedanceCMOSTransmission lineElectrical engineeringRadio frequencyElectronic engineeringWirelessComputer scienceOptoelectronicsPhysicsTelecommunicationsEngineeringMicrowave

Abstract

fetched live from OpenAlex

In this work, we propose the use of elevated center coplanar waveguide (EC-CPW) transmission lines in CMOS technology to alleviate the technology limitations of achieving extreme impedances with conventional CPW lines, particularly, high impedances. High impedance lines are required to facilitate the design of matching networks and to reduce the size of the passive components by utilizing capacitively loaded high-impedance lines. This paper presents the measured and simulated performance of these lines and their implementation in building a 60 GHz reduced-size 90° coupler. The coupler's size is 0.102 mm2and it is well suited for use in the design of radio front-ends of 60 GHz high data-rate wireless systems.

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)0.001
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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

Citations5
Published2010
Admission routes1
Has abstractyes

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