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Record W2116550798 · doi:10.1109/ias.1989.96878

Computer performance degradation due to their susceptibility to power supply disturbances

2003· article· en· W2116550798 on OpenAlexaff
D.O. Koval

Bibliographic record

VenueConference Record of the IEEE Industry Applications Society Annual Meeting · 2003
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPower (physics)Computer scienceRelation (database)SoftwareDegradation (telecommunications)Electric power systemReliability engineeringDatabaseTelecommunicationsOperating systemEngineering

Abstract

fetched live from OpenAlex

The author defines and discusses what is a power supply disturbance from various perspectives, indicating what effects power supply disturbances have on sensitive electronic equipment. He presents several case studies on computer performance, clearly revealing the correlation between the distinctive patterns of occurrence of power supply disturbance and computer interruptions at one computer site consisting of several small computer systems. He provides empirical evidence on the low frequency of computer system interruptions caused by power supply disturbances in relation to the other major computer system failure modes (e.g. software and hardware failures) at a large computer center. He demonstrates that the CBEMA (Computer and Business Equipment Manufacturers Association) susceptibility curve provides a valuable model for assessing the performance of a given computer center when no detailed susceptibility characteristics of the system are known.< <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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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

Citations10
Published2003
Admission routes1
Has abstractyes

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