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Record W2914133272 · doi:10.1109/mwscas.2018.8624051

Design and Implementation of an Ultrasonic Link for Concurrent Telemetry of Multiple Data Streams to Implantable Biomedical Microsystems

2018· article· en· W2914133272 on OpenAlex
Keivan Keramatzadeh, Amir M. Sodagar

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 Power Transfer Systems
Canadian institutionsYork University
Fundersnot available
KeywordsSubcarrierComputer scienceBandwidth (computing)TelemetryMultiplexingData linkElectronic engineeringFrequency-division multiplexingData stream miningFrequency modulationComputer hardwareReal-time computingTelecommunicationsOrthogonal frequency-division multiplexingEngineering

Abstract

fetched live from OpenAlex

This paper reports on the design, implementation, and test of an ultrasonic data telemetry link. The link benefits from the combination of on-off keying (00K) modulation and frequency-division multiplexing (FDM) in order to enhance the telemetry data rate, while using regular transducers. As a result of using the FDM scheme, multiple data streams will be telemetered via the link concurrently. Each one of the data streams is OOK-modulated with a specific sub-carrier frequency. Covering the breadth of the effective bandwidth of the link, the subcarrier frequencies are chosen to be located at the local maxima of the link frequency response. To further increase the data rate, the OOK-modulated data streams are amplitude-equalized to compensate for the non-flat frequency response of the link. Designed using two ultrasonic transducers with a resonance frequency of 1MHz placed with a spacing of 3cm, a prototype link with 8 concurrent sub-channels was developed, characterized, and tested for a bit rate of 120kbps.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.539
Threshold uncertainty score0.489

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 head0.032
GPT teacher head0.309
Teacher spread0.277 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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