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Record W2071872575 · doi:10.1117/12.804694

A radio over fiber network architecture for road vehicle communication systems using 2-D photonic quasi-crystals

2008· article· en· W2071872575 on OpenAlexaff
Ashkan Ghanbari, Ali Rostami, Ali Haddadpour, Hamed Alipour‐Banaei, Farrokh Janabi‐Sharifi

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhotonic Crystals and Applications
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBandwidth (computing)Base stationCommunications systemComputer scienceExtremely high frequencyRadio over fiberHandoverOptical fiberComputer networkOpticsTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

The road vehicle communication system constitutes an important component of an intelligent transportation system (ITS). In this structure, control station is connected to base station via optical fiber for accomplishing high bandwidth data exchange. Due to millimeter-wave feature, the system has small cells and also provides high mobility. In order to have fast handover and dynamic bandwidth allocation, a medium access control scheme is used. Base stations are deployed along the road to support the communication link to a vehicle. In this paper, we use a quasi-crystal lens to focus the reflected waves to reduce the number of the base stations. The structure of the quasicrystal lens posses 12-fold symmetry and hence 12-fold symmetric quasi-crystal. In this quasi structure, we have demonstrated that if we select a proper slab thickness, we can achieve focusing in the outside of the slab as well as equal intensity of the source wave.

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 score0.002
Threshold uncertainty score0.004

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)0.0010.000

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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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
Published2008
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPhotonic Crystals and ApplicationsFrench-language works237,207