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Ship-to-ship beyond line-of-sight communications: A comparison between ray tracing simulations and the PETOOL

2017· article· en· W2769678069 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
TopicRadio Wave Propagation Studies
Canadian institutionsUltra Electronics (Canada)École de Technologie Supérieure
Fundersnot available
KeywordsRay tracing (physics)Line-of-sightMATLABComputer scienceTracingSightDuct (anatomy)SimulationNon-line-of-sight propagationAerospace engineeringPhysicsOpticsEngineeringTelecommunicationsWirelessOperating system

Abstract

fetched live from OpenAlex

A Matlab-based ray tracing (RT) simulator is implemented for the analysis of ship-to-ship communications. The anomalous propagation effect due to the evaporation duct which results in bending and/or trapping the rays is modelled. Based on extensive RT simulations, the received rays are identified and their parameters are estimated. We briefly describe the implementation of the RT simulator and compare the obtained ray tracing results with those obtained from a widely used simulation tool, the PETOOL. We highlight the excellent agreement between the two tools for line-of-sight (LOS) ranges and also highlight that there is significant disagreements between them for beyond-line-of-sight (beyond-LOS) ranges. Then, based on our RT simulator, we provide detailed results describing the effect of the evaporation duct phenomena on the communication link quality in the beyond-LOS zone.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.472

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 studies0.0010.000
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 head0.076
GPT teacher head0.331
Teacher spread0.255 · 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

Quick stats

Citations6
Published2017
Admission routes1
Has abstractyes

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