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Record W2159689158 · doi:10.1109/ismvl.2012.16

Multiple-Valued Time-Based Architecture for Serial Communication Links

2012· article· en· W2159689158 on OpenAlexaff
Mostafa Rashdan, J.W. Haslett, Brent Maundy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSerDesComputer scienceSerial communicationBandwidth (computing)SIGNAL (programming language)CMOSComputer hardwareEnergy consumptionChannel (broadcasting)ArchitectureChipElectronic engineeringCadencePower consumptionEmbedded systemPower (physics)EngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

A new multi-level differential-time-signaling (DTS) architecture for serial communication links is presented in this paper. The proposed system concentrates the transmitted signal energy in a smaller bandwidth than conventional architectures, allowing higher data rates for a given channel, and uses simple circuitry compared to other serial links, resulting in less power consumption and chip area. A 6-bit 3Gb/s three-level DTS link has been simulated using Cadence tools in a mixed-signal 90nm CMOS process. The eye diagrams of the transmitted signal and of the received signal at the end of a 40-inch FR-4 channel are presented. The spectral energy content in the transmitted signal is compared to our two-level DTS architecture and to the standard Serializer/Deserializer (SerDes) architecture to illustrate the advantages.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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 designNot applicable
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

Citations6
Published2012
Admission routes1
Has abstractyes

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Same topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207