MétaCan
Menu
Back to cohort
Record W2408096433 · doi:10.5383/juspn.05.01.002

Electromagnetic Energy and Data Transfer for a Neural Implant

2013· article· en· W2408096433 on OpenAlexafffundvenue

Bibliographic record

VenueJournal of Ubiquitous Systems and Pervasive Networks · 2013
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsUniversity of Alberta
FundersAlberta InnovatesAlberta Innovates - Health Solutions
KeywordsWireless power transferBasebandSubthreshold conductionWirelessComputer scienceEnergy consumptionElectronic engineeringTelecommunications linkEnergy (signal processing)Power (physics)Maximum power transfer theoremElectrical engineeringEngineeringTelecommunicationsCMOSTransistorVoltagePhysics

Abstract

fetched live from OpenAlex

The wireless transfer of energy through living tissues for the purpose of data communications is investigated. After considering the best frequency band for communications in biological tissues, both the uplink and downlink near-field coupled energy transfer options are analyzed. The possibility of wireless powering using the same frequency band is also studied. The nominal power consumption of the implantable baseband communications circuitry was estimated for smaller technology nodes using the Synopsys CAD tools. The effect of using the ultra-low power subthreshold operation in different technology nodes was also analyzed using predictive technology models. By introducing an analysis flow and the corresponding implementation code, we were also able to predict the subthreshold power consumption of the circuitry in different technology nodes and importantly at the gate level.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.769

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 head0.214
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

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 designSimulation or modeling
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

Citations0
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Ubiquitous Systems and Pervasive NetworksSame topicEnergy Harvesting in Wireless NetworksFrench-language works237,207