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Record W2904825134 · doi:10.1109/lsc.2018.8572111

High-Rate Ultrasonic Link for Data Telemetry to Implantable Biomedical Microsystems Using Pulse Excitation

2018· article· en· W2904825134 on OpenAlexaff
Keivan Keramatzadeh, Amir M. Sodagar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsYork University
Fundersnot available
KeywordsUltrasonic sensorTelemetryTransducerComputer scienceSIGNAL (programming language)Pulse (music)AcousticsElectronic engineeringEngineeringTelecommunicationsPhysicsDetector

Abstract

fetched live from OpenAlex

This paper reports on the design, simulation, and test of an ultrasonic data telemetry link. A pulse-based data telemetry technique is suggested in this paper, which aims at the suppression of the residual tail of oscillations that naturally follows the response of an ultrasonic transducer to a rectangular pulse. This is made possible by the introduction of a line encoding scheme that suggests the use of an excitatory/inhibitory complex rather than a single excitatory pulse. Efficacy of the technique suggested in this paper was verified through modeling and testing a complete ultrasonic data telemetry link including the transmitting and receiving transducers, as well as the signal conditioning and data recovery blocks on the receiver side. According to the results for transducers with the resonance frequency of 1MHz and saline as the communication channel, a maximum bit rate of 350kbps was achieved.

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)0.001
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: none
Teacher disagreement score0.718
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.036
GPT teacher head0.283
Teacher spread0.247 · 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 designBench or experimental
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

Citations3
Published2018
Admission routes1
Has abstractyes

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