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Record W2034061431 · doi:10.1049/ip-cds:20050156

Modelling IrSC: proposal options and performance analysis

2006· article· en· W2034061431 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEE Proceedings - Circuits Devices and Systems · 2006
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsComputer scienceProtocol (science)Connection (principal bundle)Simple (philosophy)Point (geometry)TelecommunicationsEngineeringMathematics

Abstract

fetched live from OpenAlex

Proposed by IrDA, the Infrared Simple Connection (IrSC) protocol is a protocol dedicated for fast connection and instant data transmission over point-to-point infrared links. Although the protocol is still under development, it has attracted considerable attention from both manufacturers and researchers. The IrDA special interest group proposed two different technical approaches to address the requirements of IrSC. In this paper, technical approach 1 (IrSC1) and approach 2 (IrSC2) are modelled. Subsequently, the performance of IrSC1 and IrSC2 is compared. Additionally, the performance of unchanged IrDA Standard (IrDAS) is compared with both approaches. The contribution of this work is to clarify the issues for designing IrSC, and compare IrSC1 and IrSC2, in addition to providing suitable design guidelines for IrDA devices for high performance of IrSC.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.206
Teacher spread0.190 · 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