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Record W1711936803 · doi:10.1109/rta.1993.263115

On the design of real-time telecommunication systems

2002· article· en· W1711936803 on OpenAlexaff
Oryal Tanir, V.K. Agarwal, P.C.P. Bhatt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsDigital subscriber lineComputer scienceModular designVHDLAbstractionRepresentation (politics)Electronic design automationProgramming languageSoftware engineeringDesign languageComputer architectureEmbedded systemTelecommunications

Abstract

fetched live from OpenAlex

The Design, Analysis and Synthesis Environment (DASE) has been developed to aid the designer in exploring the design space of telecommunication systems at the architectural level of design abstraction. DASE utilizes an internal representation called DSL (Design Specification Language) to capture the design intent and simulate, reconfigure and experiment with models using a DSL simulator. These features are supported through the use of an object-oriented library system capable of organizing models in a generic and re-useable form. Once the designer is satisfied with the architectural level design, the DSL models can be translated to synthesizeable behavioural VHDL code which can be used by lower level design automation tools. An example of the representation of a modular digital telecommunication switch element is given to demonstrate the modelling capabilities of DSL.>

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.055
GPT teacher head0.251
Teacher spread0.196 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2002
Admission routes1
Has abstractyes

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