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3D digitalizácia konkrétneho zariadenia pre simulovanie montážneho postupu vo virtuálnej realite

2025· article· W4416896093 on OpenAlexaff
Juraj Kováč, Peter Malega

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicTransport and Logistics Innovations
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsPerspective (graphical)Government (linguistics)Set (abstract data type)Work (physics)Identification (biology)Context (archaeology)

Abstract

fetched live from OpenAlex

Anotace: Článok sa zaoberá digitalizáciou vybraného zariadenia a návrhom simulácie montážneho postupu vo virtuálnej realite na príklade prestavby bežného bicykla Maxbike Taal 29″ na elektrobicykel pomocou centrálneho pohonu Bafang BBS02N s výkonom 750 W (max. 120 Nm) a rámovej batérie.Metodika zahŕňa 3D modelovanie komponentov v CAD systéme SolidWorks, prípravu a optimalizáciu dát pre vizualizáciu v Pixyz Review, vytvorenie VR pracoviska a definovanie interaktívnych krokov montáže a demontáže vrátane nastavení stupňov voľnosti pre manipuláciu s dielmi a náradím.Implementácia bola realizovaná pre headset Oculus Rift S s ovládačmi Touch.Výsledkom je funkčná VR aplikácia, ktorá umožňuje bezpečný nácvik postupov, poskytuje prehľadný vizuálny návod, podporuje analýzu ergonómie a má potenciál skrátiť čas zaškolenia, znížiť chybovosť a náklady na fyzické prototypy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.004

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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractno

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