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Record W2184783004 · doi:10.1109/biocas.2015.7348279

The effects of GND electrodes in capacitive-coupling body channel communication

2015· article· en· W2184783004 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
TopicWireless Body Area Networks
Canadian institutionsYork University
Fundersnot available
KeywordsPath lossTransmitterCapacitive sensingCapacitive couplingWirelessChannel (broadcasting)Coupling (piping)Path (computing)SIGNAL (programming language)Body area networkMaterials scienceElectrodeComputer scienceElectronic engineeringElectrical engineeringTopology (electrical circuits)OptoelectronicsAcousticsPhysicsTelecommunicationsEngineeringComputer networkVoltage

Abstract

fetched live from OpenAlex

Capacitive coupling body channel communication (CC-BCC) has the potential or improving energy efficiency in wireless body area network (WBÁN). In CC-BCC, the body surface is used as the forward signal path, whereas the backward path is formed by the capacitive coupling between two ground (GND) electrodes (GEs) of transmitter (TX) and receiver (RX). The loss in forward path is much lower in CC-BCC than in wireless communication because of better conductivity of human body. However, the loss in backward path is comparable to wireless communication since the signal is coupled between two GEs in air. This paper presents a comprehensive analysis on the effect of GEs in CC-BCC using finite-element method. The analysis is verified by actual measurements. In addition, a set of guidelines is provided for the design of GEs for CC-BCC systems.

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 score0.039
Threshold uncertainty score0.242

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 head0.008
GPT teacher head0.208
Teacher spread0.199 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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