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Record W2463608863

Precise Point Positioning under degraderte skogsforhold

2014· dissertation· en· W2463608863 on OpenAlexaboutno aff
Andreas Saxi Jensen

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2014
Typedissertation
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPrecise Point PositioningComputer scienceGlobal Positioning SystemGNSS applicationsTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Denne oppgaven tar utgangspunkt i Precise Point Positioning under degraderte skogstettheter. Gjennom beregning av sikt på bakgrunn av elevasjonsvinkler innmålt i feltarbeid, innmåling av posisjonsdata og beregninger gjort med etterprosesseringstjenestene TerraPos og CSRS-PPP (Canadian Spatial Reference system - Precise Point Positioning), indikerer resultatene en trend hvor posisjonsnøyaktigheten og initialiseringstiden forverres og øker i forhold til referansen (målt med RTK), i takt med fortetning av skog for fire graderte punktene A - D. Som punktet med høyest \\% fri sikt hadde A en romlig posisjonsnøyaktighet på 1,81cm (beregnet med TerraPos). Initialiseringstiden for A var en romlig nøyaktiget på 7 cm etter 30 min (TerraPos). Som punktet med lavest \\% fri sikt hadde D en endelig romlig posisjonsnøyaktighet med 1,5916m (beregnet med TerraPos), med en initialiseringstid på 2 timer med romlig nøyaktighet på 1,699m. Sammenlignet med dagens krav på nøyaktighet og initialisering for skogsanvendelser er kun posisjonsnøyaktigheten for punkt A og B gode nok. Kravet om måling i sanntid ble ikke testet fordi igr-rapid data ikke ble benyttet.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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