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Record W2135073493 · doi:10.1109/vetecf.2004.1404734

Wideband measurements of channel characteristics at 2.4 and 5.8 GHz in underground mining environments

2005· article· en· W2135073493 on OpenAlexaff
Ahmed Benzakour, Sofiène Affes, Charles Despins, Pierre-Martin Tardif

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIndoor and Outdoor Localization Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsDelay spreadWidebandMultipath propagationRadio channelFlatteningRadio spectrumImpulse (physics)Channel (broadcasting)Frequency bandImpulse responseAcousticsPower delay profileRadio frequencyCenter frequencyElectrical engineeringPhysicsElectronic engineeringTelecommunicationsRemote sensingEngineeringGeologyBandwidth (computing)Mathematics

Abstract

fetched live from OpenAlex

This paper analyzes the results of wideband radio channel measurements conducted in an underground mining environment at center frequencies of 2.4 GHz and 5.8 GHz using a vector network analyzer. Relevant impulse response parameters such as the rms delay spread and the relative multipath total power are presented and compared for the two bands. The measurements suggest that in such an underground gallery and in the two frequency bands, random reflections have the effect of flattening the relationship between the rms delay spread and distance. In the 2.4 GHz band, the rms delay spread is less than or equal to 6.34 nanoseconds for 50% of all measurement locations. The corresponding value for the 5.8 GHz band is 4.98 nanoseconds. In general, it has been observed that underground radio channel characteristics are influenced by the configuration of this peculiar environment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.346

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 head0.020
GPT teacher head0.204
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

Citations36
Published2005
Admission routes1
Has abstractyes

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