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Record W2101902525 · doi:10.1109/ccece.2005.1557167

Characterization of alien-NEXT in 10Gbase-T systems

2006· article· en· W2101902525 on OpenAlexafffund
Pooja Anand, Stephen Bates

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsGigabit EthernetGigabitEthernetComputer scienceCrosstalkFiber Distributed Data InterfaceBandwidth (computing)Measure (data warehouse)Local area networkReal-time computingEmbedded systemComputer networkEngineeringElectronic engineeringTelecommunicationsDatabase

Abstract

fetched live from OpenAlex

The latest proposed Ethernet standard is 10GBASE-T or 10 Gigabit Ethernet, which achieves a data rate of 10 Gigabits per second (Gbps). This is intended to meet the ever-increasing demand for data rate and bandwidth. The high frequencies involved in the 10GBASE-T standard give rise to a new type of crosstalk in data cables, which was not an issue in earlier lower data rate Ethernet standards. This has been named alien near-end crosstalk (ANEXT). ANEXT has been predicted to be one of the major impairments for 10GBASE-T systems. An innovative technique to measure ANEXT in 10 Gigabit Ethernet systems is proposed in this paper. A novel model for ANEXT is developed on the basis of measurement data obtained from experiments performed in a laboratory environment. Experiments were also performed to measure ANEXT at the connectors for which a separate set up using patch panels was employed. The measurement results of the different experiments were used to design the proposed model for ANEXT. Several characteristics of ANEXT are also proposed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.191

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 communication0.0000.000
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 head0.005
GPT teacher head0.173
Teacher spread0.168 · 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

Citations7
Published2006
Admission routes2
Has abstractyes

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