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Record W2158600900

“Design of CWDM multiplexers based on series coupled ring resonators: Analysis and potential of MEMS technologies“

2009· article· en· W2158600900 on OpenAlexaff
Maurine Malak, Ahmed Hisham Morshed, Khaled Hassan, Tarik Bourouina, Hanan Anis, Diaa Khalil

Bibliographic record

VenueSymposium on Design, Test, Integration and Packaging of MEMS/MOEMS · 2009
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMultiplexerInsertion lossPassbandResonatorDemultiplexerWavelength-division multiplexingElectronic engineeringSilicon on insulatorOptical ring resonatorsMicroelectromechanical systemsPower dividers and directional couplersMaterials scienceComputer scienceEngineeringOptoelectronicsTelecommunicationsMultiplexingBand-pass filterSiliconWavelength
DOInot available

Abstract

fetched live from OpenAlex

New designs for a 1×4 and a 1×8 CWDM multiplexers based on cascaded groups of series coupled ring resonators [1]–[3] are presented. Compared to other integrated optical alternatives such as MMI phasars, cascaded Mach-Zehnder interferometers and cascaded AWG, the proposed circuits offer superior performance in their very sharp roll-off factor that exceeds 0.75, their reduced crosstalk level that lies below −80 dB and their negligible insertion loss for the 1×4 design. For the 1×8 design, the worst case insertion loss is 4 dB. However, the performances obtained exhibit passband ripples in the order of 5 dB, and besides, they are not very tolerant to fabrication errors. Being designed for SOI technology, the proposed circuits are compact as the circuit areas are 130×130 µm2 and 90×150 µm2 for the 1×4 and 1×8 designs, respectively. They also have a high potential for MEMS tunability.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 science0.0010.000
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueSymposium on Design, Test, Integration and Packaging of MEMS/MOEMS→Same topicPhotonic and Optical Devices→French-language works237,207→