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Record W1546080351 · doi:10.1109/intlec.1990.171261

Equipment powerdown in case of fire

2002· article· en· W1546080351 on OpenAlexaff
N. Korbel, N. Tullius

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFire Detection and Safety Systems
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsALARMReliability (semiconductor)Computer scienceReliability engineeringFire protectionFire detectionFire alarm systemManual fire alarm activationComputer securitySampling (signal processing)Embedded systemEngineeringPower (physics)DetectorArchitectural engineeringTelecommunicationsElectrical engineering

Abstract

fetched live from OpenAlex

The authors present the findings of a study conducted in 1989 to determine viable alternatives for removing power from telecommunication equipment under emergency conditions such as fire in the equipment area. After reviewing the characteristics of commercial fire alarm system, the essential requirements for a fire alarm and emergency powerdown system are discussed. These include fire detection, power shutdown, selectivity, reliability and security, and some cost considerations. A system comprising hydrogen chloride detectors and a novel multiplex sampling method is proposed to attain fast response with reasonable complexity. It is concluded that while the hardware and software building blocks for implementing selective powerdown are available, further work would be required to understand the complex trade-offs between service protection and equipment protection.>

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.195
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

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 designNot applicable
Domainnot available
GenreOther

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
Published2002
Admission routes1
Has abstractyes

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