MétaCan
Menu
Back to cohort
Record W2964483365 · doi:10.1109/imbioc.2019.8777829

A Broadband Microstrip-to-Folded Substrate Integrated Waveguide Transition and In-phase Power Divider

2019· article· en· W2964483365 on OpenAlexfundno aff
Jiaojiao Xu, Feng Xu, Dandan Li, Shui Liu

Bibliographic record

Venue2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) · 2019
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Jiangsu Province
KeywordsStriplineMicrostripReturn lossShielded cableInsertion lossPower dividers and directional couplersBroadbandMaterials scienceBandwidth (computing)Impedance matchingWaveguideOptoelectronicsOpticsElectrical impedanceElectrical engineeringPhysicsTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In this paper, a novel microstrip-to-FSIW (folded substrate integrated waveguide) is proposed, which has a lot of good performances such as low return loss and insertion loss from 6GHz to 13.8GHz. The field in FSIW has been studied before and is folded in H plane for TE10 mode. The field in the underneath substrate is similar to microstrip and the whole field in FSIW is similar to stripline so that the proposed transition can be realized by using stripline. In order to reduce the radiation loss, the stripline is shielded by two rows of conduct holes to constrain the field. What is more, an inductive metal via hole is positioned on the interface of stripline and FSIW to obtain better impedance matching in a broader bandwidth. There are some other types of transitions shown in this paper for comparison and an in-phase power divider is shown. The measured results are in good agreement with the simulated results.

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 categoriesMeta-epidemiology (narrow)
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 score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venue2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)Same topicMicrowave Engineering and WaveguidesFrench-language works237,207