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Record W2951302398 · doi:10.1109/iwat.2019.8730612

High Bitrate Data Transmission Using Polypropylene Fiber in Terahertz Frequency Range

2019· article· en· W2951302398 on OpenAlexafffund
Kathirvel Nallappan, Chahé Nerguizian, Hichem Guerboukha, Maksim Skorobogatiy, Yang Cao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsPolytechnique Montréal
FundersCanada Research Chairs
KeywordsTerahertz radiationFiberMaterials scienceBit error rateOptoelectronicsTransmission (telecommunications)Common emitterOpticsPhysicsTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

We present the experimental demonstration of real-time data transmission using long subwavelength dielectric fiber in the Terahertz (THz) frequency range. A commercial filament made of polypropylene material with the diameter of 1.75 mm is used as the solid core fiber for signal transmission. A photonics-based THz communication system operating at the carrier frequency of 140 GHz is used to characterize the fiber. The fiber is butt coupled at both emitter and detector antenna to minimize the free space coupling loss. The performance of the fiber is measured by recording the bit error rate (BER) for the transmitted data rate of 5 Gbps with a pattern length of 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">31</sup> -1. BER of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-7</sup> is recorded for the fiber length of 3 m and 5 m respectively at the emitter photocurrent value of 8 mA. Finally, an error free data transmission using a 1 m fiber with the diameter of 670μm is demonstrated successfully.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
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)0.0010.000

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 head0.020
GPT teacher head0.237
Teacher spread0.217 · 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.

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

Citations7
Published2019
Admission routes2
Has abstractyes

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