MétaCan
Menu
Back to cohort
Record W2150358678 · doi:10.1109/tim.2010.2058674

Ka-Band Vector Reflectometer Based on Simple Phase-Shifter Design

2010· article· en· W2150358678 on OpenAlexaff
Mohamed A. Abou‐Khousa, Mark A. Baumgartner, Sergey Kharkovsky, Reza Zoughi

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsWestern University
FundersMissouri University of Science and Technology
KeywordsPhase shift moduleNetwork analyzer (electrical)OpticsReflection coefficientAperture (computer memory)Extremely high frequencyDiodePIN diodeBroadbandMaterials scienceElectronic engineeringEngineeringInsertion lossOptoelectronicsAcousticsPhysics

Abstract

fetched live from OpenAlex

An automated handheld simple vector reflectometer design for complex-reflection-coefficient measurements at 35.5 GHz (Ka-band, 26.5-40 GHz) is presented. The proposed reflectometer is based on a standing-wave voltage measuring device and an electronically controlled and custom-designed millimeter-wave phase shifter. The phase shifter consists of p-i-n diode-loaded subresonant slots cut into the wall of a Ka-band waveguide. This paper describes the design of the phase shifter and the overall reflectometer. A comparison of the measurement results, for several loads, using this reflectometer and an Agilent E8364B performance network analyzer is also presented showing the measurement accuracy of the proposed reflectometer. Finally, the utility of this reflectometer for imaging complex composite structures, incorporating a high-resolution synthetic aperture imaging technique, is also demonstrated.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.041
GPT teacher head0.262
Teacher spread0.221 · 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
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

Citations22
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Instrumentation and MeasurementSame topicMicrowave Engineering and WaveguidesFrench-language works237,207