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Record W2404471541

An Embedded Hardware Platform For Fungible Interfaces

2010· article· en· W2404471541 on OpenAlexaff
Avrum Hollinger, Joseph Thibodeau, Marcelo M. Wanderley

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill UniversityConcordia University
Fundersnot available
KeywordsComputer scienceModular designEmbedded systemInterface (matter)MicrocontrollerComputer hardwarePersonal computerTerminal (telecommunication)Serial communicationRapid prototypingEngineeringOperating systemTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

A modular and reconfigurable embedded computer system for designing and prototyping electronic musical interfaces is presented. The system is based on an ARM7 microcontroller that configures peripheral devices, collates input signals, and processes/synthesizes audio. Peripheral devices, each equipped with its own processor, are fully reconfigurable enabling processing and conversion of both analog and digital signals. Communication between the ARM and the peripheral devices is accomplished using the I2C protocol, allowing for multi-master-slave operation. Although the system operates without the use of a personal computer, a serial interface was implemented to facilitate prototyping with a computer terminal running a text or graphicsbased user interface. Applications for this platform include a standalone electronic musical instrument and an augmented acoustic trumpet. 1.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.005

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 head0.022
GPT teacher head0.279
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations8
Published2010
Admission routes1
Has abstractyes

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