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Record W2147492825 · doi:10.1109/cenics.2009.22

A Simple 250 Degrees Celsius Frequency Modulation Transmitter for use in Wireless Sensor Networks

2009· article· en· W2147492825 on OpenAlexaff
Jonathan Gagnon, François Gagnon, Olivier Munger

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsTransmitterVoltage-controlled oscillatorElectrical engineeringVariable capacitorWireless sensor networkContext (archaeology)Modulation (music)CapacitorRadio transmitter designWirelessRadio frequencyElectronic engineeringFrequency modulationComputer scienceEngineeringVoltageChannel (broadcasting)TelecommunicationsPhysicsComputer networkAcoustics

Abstract

fetched live from OpenAlex

This paper presents a voltage-controlled oscillator (VCO) operating up to 250degC and usable as a simple frequency modulation (FM) transmitter in wireless sensor networks (WSN). The device is a simple LC oscillator which uses the channel depletion capacitance as a variable capacitor controlled by the gate voltage VG to enable the sustained oscillating behaviour of a tank circuit. The context of operation, failure mechanisms and limitations of electronic components in high temperature environments are studied. The designed component operates successfully in the frequency range from 48 to 62 MHz at room temperature and 56 to 59 MHz at 250degC. Output powers have been measured from -30 dBm to -10 dBm. The proposed circuit enables frequency modulation for wireless communications in the context of ruggedized wireless sensor networks, that is, sensor networks which are designed to operate in very harsh conditions such as fire fighting and industrial applications.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same topicGaN-based semiconductor devices and materialsFrench-language works237,207