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Record W1959976339 · doi:10.1109/itherm.2000.866217

Thermal characterization of point of used power supply

2002· article· en· W1959976339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsASTER
Fundersnot available
KeywordsMotherboardThermalThermal resistanceConvectionHeat transferMaterials scienceMechanicsConvective heat transferThermal transmittanceNatural convectionThermodynamicsPhysicsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

A numerical and experimental study of convection heat transfer on a point of used power supply, PUPS, was conducted to determine its thermal performance. The present investigation performed a series of experiments in both free and forced convection modes. The numerical model was also developed to validate the experimental data. The present work also introduced a thermal compact model for the PUPS. This thermal compact model is function of the temperature of the motherboard, ambient temperature, and the thermal resistances between the surface of the PUPS to the air, R/sub sa/ and the surface of the PUPS to the motherboard, R/sub sb/. The thermal resistances of the thermal compact model were derived from the experimental results. In addition, the relationships between the thermal resistances of the PUPS and both Rayleigh and Reynolds numbers were also obtained. Finally, the thermal performance of the PUPS in convective heat transfer was determined. The present methodology of the thermal characterization of the present PUPS can be applied to any PUPS, which is commonly used in telecommunication products.

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.

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 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 score0.110
Threshold uncertainty score0.999

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)0.0020.000

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 head0.010
GPT teacher head0.192
Teacher spread0.183 · 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

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

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