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Record W2028420855 · doi:10.1115/imece2009-10242

Inflatable Truck Roof Deicing System

2009· article· en· W2028420855 on OpenAlexaff
Tyler Ustrzycki, Christy Fernando, Michael Ligori, Nisha Papneja

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsYork University
Fundersnot available
KeywordsTruckInflatableTrailerRoofSAFERRoad surfaceEngineeringAutomotive engineeringMarine engineeringComputer scienceCivil engineeringStructural engineering

Abstract

fetched live from OpenAlex

Every winter, ice debris from the trailer’s of transport trucks cause significant problems on northern highways. This issue can cause a wide variety of damages ranging from broken windows to passenger injuries. This paper proposes a safe and durable design for an inflatable truck roof deicing system. The system is comprised of a rubber bladder secured to the roof of the trailer and fail-safe electrical system. The approach taken seeks to eliminate the accumulation of ice and snow on the roofs of trailers that could cause serious harm to surrounding vehicles. The rubber bladder is designed to be inflated with an on-board compression system while the vehicle is at rest, dislodging all ice on the surface of the trailer and then deflating the bladder before the truck is set in motion. This design seeks to take into account all aspects of the above mentioned problem to create a solution that is not only technically feasible but also safe, reliable and cost effective. Accompanying this design is a full needs assessment complete with scale model testing and safety report. Implementation of a safe, reliable truck roof deicing system on transport trucks a huge step to making our roads a safer place.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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