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Record W1590438069 · doi:10.1109/iembs.2003.1280882

Core control circuit for submillimiterrobot

2004· article· en· W1590438069 on OpenAlexaff
M. Jarry, Martin J.-D. Otis, Hicham Semmaoui, G. Hache, Réjean Fontaine

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMicrocontrollerComputer scienceSerial portCMOSComputer hardwareEmbedded systemReduced instruction set computingSerial communicationInstruction setEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

The biomicrorobotic is an emerging technology involving microelectronic, robotic and biomedical sciences and technologies in order to help medicine to perform better treatments. Autonomous biomicrorobots (BMR) needs a control core to perform special tasks. This paper describes a microcontroller architecture selected to perform BMR's control algorithms for legs displacement. This microcontroller is based on an 8-bits RISC architecture and coupled with a Manchester decoder for communication purpose. As input signal goes through a serial port, a serial/parallel converter has been implemented to load instructions in the microcontroller. The technology CMOS 0.18 /spl mu/m is targeted for implementation. The output signals for legs control will be transmitted through a 8-bits parallel ports.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.349

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 head0.164
GPT teacher head0.298
Teacher spread0.134 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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