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Record W2356695520

Principle of a Novel Three Dimension Electric Field Sensor and Its Test Result

2006· article· en· W2356695520 on OpenAlexaff
Xing Zhang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsElectric fieldIntensity (physics)Field (mathematics)Dimension (graph theory)Electrical engineeringDevice under testLinearityAcousticsElectronic engineeringPhysicsEngineeringOpticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Electric field sensors used at present are only capable of measuring one or two dimension values of electric field intensity vector, which results in an inaccuracy of measurement. A novel three dimension electric field sensor, which is composed of axial(Z) and radial(X, Y) electric field measuring units, driving unit, circuit unit and heat preserving unit, is introduced. It is used for measuring three dimension values of electric field intensity vector, avoiding the limitation of the electric field sensors used at present. The heat preserving unit keeps the temperature inside the sensor higher than 0℃ under the environment temperature of -50℃ in the temperature test, satisfying the temperature range required. Also, the electric field measuring units of sensor validated the linearity of the output signal of sensor and electric field intensity in the test, which is in accord with the theoretical analysis, and proved the rationality of three dimension electric field sensor.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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 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

Citations1
Published2006
Admission routes1
Has abstractyes

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