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Record W2752893409

Passive monolithic microwave multisensor based on N coupled Substrate Integrated resonators for environmental detection

2016· article· en· W2752893409 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

VenueIEEE Conference Proceedings · 2016
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsResonatorMicrowavePlanarMaterials scienceOptoelectronicsPermittivityDielectricSubstrate (aquarium)Relative humidityRelative permittivitySensitivity (control systems)Electronic engineeringAcousticsComputer scienceEngineeringTelecommunicationsPhysics
DOInot available

Abstract

fetched live from OpenAlex

This work presents a novel fully passive monolithic microwave multisensor on Substrate Integrated Waveguide (SIW) technology for simultaneous detection of humidity and temperature. The proposed structure is simple and combines several resonators with well controlled coupling. Each resonator of the multisensor is capable of environmental detection. The detection principle is based on a frequency shift due to a perturbation of the effective permittivity, depending on the sensitivity of the dielectric medium to the surrounding physical variable. The presented multisensor structure operates in the frequency range from 5–9.5 GHz and exhibits a frequency shift for relative humidity in the range of 6.5–93%RH and for temperature between 23–60°C. Based on SIW technology, this new monolithic environmental solution presents the advantage of being easily integrated into planar structure, energetically efficient and low-cost for mass production application.

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 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 score0.321
Threshold uncertainty score1.000

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 head0.013
GPT teacher head0.197
Teacher spread0.184 · 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