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Record W1570920994

Electromagnetic wave propagation modeling in a complex environment using uniform geometrical theory of diffraction

2015· article· en· W1570920994 on OpenAlexaff
Vincent Fono, Larbi Talbi, Khelifa Hettak

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsCommunications Research Centre CanadaUniversité du Québec en Outaouais
Fundersnot available
KeywordsDiffractionRay tracing (physics)Uniform theory of diffractionMATLABWave propagationRadio propagation modelWidebandWirelessComputer scienceRadio propagationElectromagnetic radiationFinite-difference time-domain methodAcousticsChannel (broadcasting)OpticsElectronic engineeringTracingComputational physicsPhysicsTelecommunicationsEngineering
DOInot available

Abstract

fetched live from OpenAlex

In this paper, propagation mechanisms in a confined complex environment are experimentally investigated and modeled at 10 GHz. A campus student's lockers room is chosen as a propagation environment. The proposed model is implemented in Matlab using a combination of the ray tracing algorithm and uniform geometrical theory of diffraction. Moreover, a commercial ray tracing tool is used to derive wideband parameters. The comparison of analytical and experimental results reveals a strong agreement which confirm the accuracy of the developed model for prediction of electromagnetic waves behavior in the wireless propagation channel.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.146
GPT teacher head0.247
Teacher spread0.101 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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