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Record W2886190108 · doi:10.1109/mwsym.2018.8439660

Compact Transmitter for Pulsed-Radar Detection of On-Body Concealed Weapons

2018· article· en· W2886190108 on OpenAlex
Aaron D. Pitcher, Justin J. McCombe, Eric A. Eveleigh, Natalia K. Nikolova

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransmitterJitterRadarWaveformUltra-widebandPulse generatorBandwidth (computing)Computer scienceElectronic engineeringRadar detectionElectrical engineeringArbitrary waveform generatorAcousticsPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

An ultra-wideband (UWB) transmitter has been designed to produce a differentiated Gaussian (monocycle) pulse in a 1:10 bandwidth (500 MHz to 5 GHz). The transmitter is a module in a compact low-cost radar for the stand-off detection of on-body concealed weapons. The detection exploits the late-time resonances in the radar return. The requirements for the transmitter are presented and the performance of the fabricated prototype is validated. The pulse peak-to-peak jitter and the noise are analyzed and shown to be comparable to those in a pulse generated using a high-performance benchtop arbitrary waveform generator (AWG).

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 score0.356
Threshold uncertainty score0.309

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 head0.012
GPT teacher head0.241
Teacher spread0.230 · 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

Quick stats

Citations10
Published2018
Admission routes1
Has abstractyes

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