MétaCan
Menu
Back to cohort
Record W2170821067 · doi:10.1109/infcom.1988.13024

A subset of the ISDN network layer protocol suitable for implementation in hardware

2003· article· en· W2170821067 on OpenAlexaff
Jeffrey J. Brown, Witold A. Krzymień

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceIntegrated Services Digital NetworkComputer networkProtocol (science)Very-large-scale integrationChannel (broadcasting)Layer (electronics)Application layerComputer hardwareComputer architectureEmbedded systemOperating system

Abstract

fetched live from OpenAlex

A discussion is presented of the selection of a subset of the ISDN (integrated-services digital network) signalling system's network-layer protocol for point-to-point links suitable for processing in VLSI. A symmetric subset of the CCITT Q.931 recommendation as it stood in August 1987 is proposed. The need for bearer-channel negotiations is eliminated by using a 'two-way independent channel selection' technique in which each end of the link is master in the transmit direction and slave in the receive direction. A logical model for the signalling system's network layer processor is developed to aid in understanding the Q.931 protocol. The model also serves as the initial functional partitioning for the VLSI implementation. The key element of the model is the separation of the network-layer processor into a protocol-specific module (PSM) and an application-specific module (ASM).>

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)0.001
metaresearch head score (Gemma)0.003
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 score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.016

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 head0.028
GPT teacher head0.316
Teacher spread0.289 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicInterconnection Networks and SystemsFrench-language works237,207