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Record W2099302339 · doi:10.1109/tcapt.2004.831820

An Analysis of Two-Heater Active Thermal Control Technology for Device Class Testing

2004· article· en· W2099302339 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

VenueIEEE Transactions on Components and Packaging Technologies · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor Technologies Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsOvershoot (microwave communication)Process (computing)Temperature controlPower (physics)Computer scienceProcess controlEngineeringReliability engineeringMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

A novel technology for controlling temperature rise in the class testing is described in this article. This technology is based on two active heater sources and is called a two-heater active thermal control (2H-ATC) system. From a point of control, a lumped analytical model for representing the whole class testing process is very important, and is developed in this article. The model was validated by comparing the simulated result with the measured result on a commercial tester. Based on this model, we have studied the issue of optimization of the performance of the testing process, in particular examining effects of test system parameters on system performance. We have also observed a concept called critical heater power, which is important in achieving a minimum overshoot at the transition from the preheating stage to the testing stage. The outcome of this study has already been applied in practical process control during the whole class testing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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