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Record W3151183660 · doi:10.1109/imtc.2006.328558

Three Dimensional Ultrasonic Ranging Using a Split Diaphragm Capacitive Sensor

2006· article· en· W3151183660 on OpenAlex

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

VenueConference proceedings - IEEE Instrumentation/Measurement Technology Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsUltrasonic sensorRangingCapacitive sensingAcousticsTransducerSIGNAL (programming language)Capacitive micromachined ultrasonic transducersRobustness (evolution)Materials scienceBearing (navigation)Computer scienceEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

The development of a novel capacitive sensor for three dimensional airborne ultrasonic ranging is described. In addition to the conventional range measurement obtained by ultrasonic sensors, our sensor provides angular information about echo signal bearing. The metallized coating of the transducer has been split in half by chemical etching in order to obtain a two element array for measuring the bearing angles associated with the range finders. A cross correlation technique has been applied to process the raw signal data in order to obtain the desired echo-signal phase delays. As a result, a low dispersion and linear relationship between the phase delays and bearing has been obtained within a 20deg cone. Unlike the other methods for bearing measurement, the described method uses the steady-state component in the transducer response to recognize the echoes in the noisy signal. This gives the method high robustness along with good accuracy characteristics, both of which are needed in practical applications

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.420
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.220
Teacher spread0.185 · 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