MétaCan
Menu
Back to cohort
Record W3194095534 · doi:10.1109/tcpmt.2021.3105867

A Fast Technique for Realization of Lumped-Element Values Into 3-D Physical Layout on LTCC

2021· article· en· W3194095534 on OpenAlex
Aref Pourzadi, Arash Adibi, S. Hassan Mousavi, Ammar B. Kouki

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Components Packaging and Manufacturing Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsSchematicRealization (probability)Band-pass filterHFSSElectronic engineeringIdeal (ethics)Physical designFilter (signal processing)Computer scienceEngineeringElectrical engineeringCircuit designAntenna (radio)

Abstract

fetched live from OpenAlex

This article proposes a methodology for the fast translation of ideal lumped-element values to the form of a 3-D physical layout using low-temperature cofired ceramic (LTCC) dielectric. It is explained how this approach is implemented without requiring complex formulas and uses a simulation-based process which leads to consume less optimization/tuning processing time. The proposed methodology is applied to the design of a dual-band bandpass filter (D-BPF) operating at center frequencies 2.4 and 5.2 GHz and its layout is realized in the form of 3-D physical layout. The two commercial simulators, advanced design system (ADS) and high-frequency structure simulator (HFSS), are used to simulate ideal lumped-element schematics and perform electromagnetic (EM) simulations on the LTCC layout, respectively.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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