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Record W4398194429 · doi:10.1016/j.elstat.2024.103936

DC electric field sensor in a grounded enclosure with height adjustable pin

2024· article· en· W4398194429 on OpenAlex
Tao Chen, Brandon Hill, Sadna Isik, Cyrus Shafai, Lot Shafai

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

VenueJournal of Electrostatics · 2024
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEnclosureElectric fieldElectrical engineeringField (mathematics)EngineeringAcousticsPhysicsMathematics

Abstract

fetched live from OpenAlex

The deployment of dc electric field sensors in outdoor environments requires a fully sealed enclosure to shield them from environmental damage. This paper explores the behavior of an electric field sensor housed within a grounded enclosure featuring an electrically floating cover plate. A capacitance model was developed for this configuration, revealing that a conducting extension pin positioned between the cover plate to a position closely above the sensor can enhance the field strength experienced by the sensor. In the experiment, when the aperture of the enclosure measures 30 mm × 30 mm, the floating plate dimensions are 15 mm × 15 mm, and the pin diameter is 4.6 mm, with the pin positioned 1 mm above the sensor, the detected field strength is amplified by a factor of 8.9 compared to when the extension pin is absent. • This paper examines an electric field sensor within a grounded enclosure with a floating cover plate. • The capacitance model study shows enhanced sensor sensitivity inside the enclosure. • A 4cm×5cm×6cm metal enclosure was built, with experimental results matching the simulation. • The capacitance model is applicable to all MEMS electric field sensor enclosure designs.

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: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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