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Record W1989520486 · doi:10.1002/atr.5670400305

Visual air navigation siting

2006· article· en· W1989520486 on OpenAlexvenueno aff
Xiaosong Xiao, Scott Litsheim

Bibliographic record

VenueJournal of Advanced Transportation · 2006
Typearticle
Languageen
FieldEngineering
TopicAir Traffic Management and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsRunwayComputer scienceSimulationMarine engineeringEngineeringGeography

Abstract

fetched live from OpenAlex

The principle of a Precision Approach Path Indicator (PAPI) System is to provide the pilot with an on-slope signal and guide the aircraft down to the runway safely. Threshold Crossing Height (TCH) related to PAPI siting ensures that aircraft have a certain landing gear clearance over the runway threshold. Therefore, it is an important parameter in PAPI siting. In this paper, the factors related to PAPI siting are addressed and the determinations of the TCHs for PAPI and ILS (Instrument Landing System) are discussed. Most importantly, two approaches to calculate the eye-to-wheel height are proposed and a procedure to quickly check a PAPI siting also developed. The results show that the angle on which a TCH is based affects the NAVAIDS siting, and that any calculation of TCH should be based on the lowest angle in order to maintain the acceptable minimum wheel-to-threshold (WTH) height of 10 feet.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.282

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 head0.003
GPT teacher head0.207
Teacher spread0.204 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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