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Record W2534296880 · doi:10.1109/icwcuca.2012.6402323

Underground mines propagation channel characterization at UHF frequencies

2012· article· en· W2534296880 on OpenAlexaff
M. Moutairou, G.Y. Delisle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsUltra high frequencyRay tracing (physics)Computer scienceChannel (broadcasting)Angle of arrivalReflection (computer programming)Mean squared errorStandard deviationRoot mean squareReflection coefficientDelay spreadElectronic engineeringAlgorithmAcousticsAntenna (radio)OpticsStatisticsEngineeringTelecommunicationsMathematicsElectrical engineeringFadingPhysics

Abstract

fetched live from OpenAlex

By using an accurate ray-tracing model for field prediction, it is possible to characterize the propagation channel in a complex area. This study deals with the prediction's efficiency and sets of efficient input parameters for the proposed model. Statistics about resultant number of reflections and reflection coefficient which affect the received rays are also evaluated. Angle of arrival (AOA) of emitted rays are fully analysed for the future antenna design suitable for communication in the gallery. This study is done for a line on sight situation in a narrow mine gallery. The efficiency of our model is shown using three indices namely mean error, standard deviation error or root means square error.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score0.434

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 head0.028
GPT teacher head0.211
Teacher spread0.183 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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