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Record W2157722904 · doi:10.1109/pacrim.1989.48299

Guided scrambling: a new line coding technique for optical fiber communication systems

2003· article· en· W2157722904 on OpenAlexaff
I.J. Fair, W.D. Grover, R.I. MacDonald

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCellular Automata and Applications
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsScramblingSynchronizingDecoding methodsComputer scienceLine codeEncoderCoding (social sciences)BitstreamEncoding (memory)Binary numberAlgorithmTheoretical computer scienceElectronic engineeringTransmission (telecommunications)TelecommunicationsArtificial intelligenceMathematicsArithmeticEngineering

Abstract

fetched live from OpenAlex

A line coding technique is introduced for binary signals which due to its simple encoding and decoding procedures is applicable to high-bit-rate optical fiber transmission systems. Because it is similar to the established technique of self-synchronizing scrambling and is also capable of guiding the scrambling process to produce a balanced encoding bit stream, this technique is termed guided scrambled (GS). The concept of GS coding is explained, followed by a discussion of possible code parameters, selection of which allows tailoring of code characteristics to meet system requirements. The performances of selected GS configurations are reported and compared to those of conventional line coding techniques.>

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.319
Teacher spread0.249 · 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 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

Citations2
Published2003
Admission routes1
Has abstractyes

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