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Record W2041830275 · doi:10.1145/2093698.2093712

Transient characterization of concentration-encoded molecular communication with sinusoidal stimulation

2011· article· en· W2041830275 on OpenAlexafffund
Mohammad Upal Mahfuz, Dimitrios Makrakis, Hussein T. Mouftah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMolecular Communication and Nanonetworks
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMolecular communicationFrequency-shift keyingTransient (computer programming)Channel (broadcasting)Noise marginNoise (video)Electronic engineeringKeyingTransmitterMargin (machine learning)Computer scienceTransient analysisSensitivity (control systems)Biological systemTransient responseControl theory (sociology)AcousticsTopology (electrical circuits)PhysicsTelecommunicationsEngineeringElectrical engineeringDemodulation

Abstract

fetched live from OpenAlex

In this paper we present an analysis of transient loss and detection noise margin of a molecular communication system based on sinusoidal stimulation. The molecular propagation channel is based on ideal diffusion of molecules. A set of possible performance metrics has been proposed and their characteristics have been analyzed for various operating frequencies of the stimulation. Transient loss and detection noise margin have shown a significant dependence on communication range and operating frequency in a noiseless channel. Finally, the effectiveness of the metrics in a frequency-shift keying (FSK) modulated scheme has been explained.

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 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 score0.482
Threshold uncertainty score0.333

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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 teacher head, 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

Citations8
Published2011
Admission routes2
Has abstractyes

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