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Record W1972519927 · doi:10.1109/isplc.2012.6201336

Channel characterization for power line communication in a hybrid electric vehicle

2012· article· en· W1972519927 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPower-line communicationData transmissionChannel (broadcasting)Transmission (telecommunications)Communications systemElectric vehicleComputer scienceAutomotive engineeringMaximum power transfer theoremElectrical engineeringLine (geometry)Electric power transmissionFocus (optics)ElectricityEngineeringPower (physics)

Abstract

fetched live from OpenAlex

In today's electric and conventional combustion engine vehicles, data communication between electronic control units is accomplished by sending communication signals over dedicated wires. The space requirement, weight, and installation costs for these wires can become significant, especially in electric vehicles (EVs) of the future, which are highly sophisticated electronic systems. The concept of reusing existing electricity wires, which are needed to power electronic components, for data communication, i.e., vehicular power line communications (V-PLC), is thus a promising means to reduce the amount of dedicated wiring and/or establish redundant communication buses especially for EVs. Previous work on V-PLC has mostly focused on combustion engine vehicles. In this paper, we present the methodology and results from a measurement campaign with the goal of characterizing the transmission conditions for V-PLC in a hybrid EV (HEV). Emphasis is given to the choice of measurement points (potential nodes of a V-PLC network) and the proper design of adapters for measurement equipment. The results presented here focus on channel transfer function and access impedance.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.308

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 head0.015
GPT teacher head0.236
Teacher spread0.221 · 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

Quick stats

Citations29
Published2012
Admission routes1
Has abstractyes

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