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Record W1915984830 · doi:10.1109/iecon.1993.339423

Extensible digital-signal-processing modules for real-time control and simulation

2002· article· en· W1915984830 on OpenAlexaff
Yan Guo, H.C. Lee, Boon‐Teck Ooi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceInterface (matter)Embedded systemComputer hardwareExtensibilityEPROMDigital signal processingSIGNAL (programming language)Digital signalController (irrigation)Simple (philosophy)Operating system

Abstract

fetched live from OpenAlex

This paper describes the design of autonomous hardware digital-signal-processing modules which can be connected together to share the computational burden for real-time control and simulation applications. As many modules as needed can be added in the extensible architecture. Each module has 2 basically autonomous processing units (PUs), each of which has its own processor, clock, local RAM, EPROM, control and interface circuits. The PUs communicate with one another through global memories, I/O ports, and interrupts. A prototype of 3 modules has been built. For a computationally demanding test, the modules have been programmed to simulate a simple network of 2 turbo-generators (including excitation system, power system stabilizer and governor control) swinging with respect to a load and an infinite bus and with respect to each other. The results demonstrate that the proposed modules will be useful building blocks of real-time digital controllers and digital simulators.< <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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.541

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 communication0.0000.001
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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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 designSimulation or modeling
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

Citations5
Published2002
Admission routes1
Has abstractyes

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