MétaCan
Menu
Back to cohort
Record W1546080351 · doi:10.1109/intlec.1990.171261

Equipment powerdown in case of fire

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

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
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
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)0.0010.000

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 head0.012
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

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicFire Detection and Safety SystemsFrench-language works237,207