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Record W2617174918 · doi:10.11159/htff17.112

Field Experiment of the Measures to Control the Stack Effect in Stairwell of Building

2017· article· en· W2617174918 on OpenAlexvenueno aff
Jung-Yup Kim, Su-Gak Lee, Seung-Won Jeon

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsnot available
FundersKorea Institute of Construction TechnologyMinistry of Science, ICT and Future Planning
KeywordsStack (abstract data type)Field (mathematics)Environmental scienceControl (management)Computer scienceMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

In a high-rise building, stack effect occurs through a vertical passage, such as stairwell or elevator shaft due to a difference in indoor-to-outdoor temperature in winter and summer. Since this stack effect leads to adverse effects in terms of residential environment, energy and disaster prevention, there is a need to come up with the measures to control the pressure difference caused by the stack effect. In a recent research, a circulation-type stack effect control device for performing air supply and exhaust using a blower and a vertical airduct has been proposed as a method for active and quantitative control of the stack effect. In this study, useful measures that can control the stack effect in the stairwell of a high-rise building were developed through field experiments in a situation where the stack effect occurs, and the feasibility of the proposed stack effect control technique was reviewed through a fullscale experiment in the actual building during the winter season.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.371

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 science0.0010.000
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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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 designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

Explore more

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