MétaCan
Menu
Back to cohort
Record W2164994143 · doi:10.1109/mwsym.1991.147093

An improved TLM full-wave analysis using a two dimensional mesh

2002· article· en· W2164994143 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsShielded cableTransmission-line matrix methodTransmission lineComputer scienceNode (physics)Transmission (telecommunications)Matrix (chemical analysis)Space (punctuation)Line (geometry)Electronic engineeringReduction (mathematics)Computational scienceElectric power transmissionTopology (electrical circuits)AlgorithmPhysicsAcousticsElectrical engineeringEngineeringMathematicsMaterials scienceTelecommunicationsGeometryComputational electromagnetics

Abstract

fetched live from OpenAlex

An improved TLM (transmission line matrix) full-wave analysis method based on a novel TLM node is described. Compared to the conventional TLM full-wave analysis, which requires a three-dimensional mesh, this method utilizes only a two-dimensional transmission line mesh to fully characterize dispersive guided structures. This leads to a significant reduction in CPU time and memory space, and makes the TLM method an even more attractive tool in the analysis of arbitrarily shaped guided structures. Numerical results are given for shielded and suspended coupled dielectric waveguides.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.996

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)0.0050.000

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 head0.032
GPT teacher head0.290
Teacher spread0.259 · 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