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Record W3159955674 · doi:10.11159/eee19.115

Right-Angled Differential Transmission Line Using Un-ChamferedInductive Layout

2019· article· en· W3159955674 on OpenAlexvenueno aff
Chia-Han Chang, Wenju Chen, Chun-Long Wang

Bibliographic record

VenueProceedings of the World Congress on Electrical Engineering and Computer Systems and Science · 2019
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsnot available
FundersMinistry of Science and Technology, Taiwan
KeywordsComputer scienceLine (geometry)Transmission lineDifferential (mechanical device)Electric power transmissionMathematicsElectrical engineeringEngineeringGeometryTelecommunications

Abstract

fetched live from OpenAlex

In this paper, the right-angled differential transmission line, the right-angled differential transmission line using the chamfered inductive layout, and the right-angled differential transmission line using the un-chamfered inductive layout are presented and compared. The right-angled differential transmission line has a very large value of differential-to-common mode conversion, which is found to be -7.27 dB from 0.1 GHz to 5.5 GHz. By using the chamfered inductive layout, the differential-to-common mode conversion can be kept below -14.75 dB from 0.1 GHz to 5.5 GHz. By using the un-chamfered inductive layout, the differential-to-common mode conversion can be further kept below -21.70 dB from 0.1 GHz to 5.5 GHz.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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 designSimulation or modeling
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

Citations0
Published2019
Admission routes1
Has abstractyes

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