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Record W2584118139 · doi:10.1017/s1759078715001208

Rotman lens combined with wide bandwidth antenna array for 60 GHz RFID applications

2015· article· en· W2584118139 on OpenAlexaff
Ali Attaran, Rashid Rashidzadeh, Roberto Muscedere

Bibliographic record

VenueInternational Journal of Microwave and Wireless Technologies · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBandwidth (computing)DirectivityMicrostrip antennaMicrostripComputer scienceAntenna arrayElectronic engineeringAntenna (radio)OpticsTelecommunicationsEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper presents a novel technique to design a Rotman lens feeding a wide bandwidth microstrip patch antenna array for 60 GHz radio frequency identification (RFID) applications. The proposed scheme supports both location positioning and increases the communication range through beam forming. The antenna array is designed using λ/4 microstrip transmission lines to support high gain, directivity, and bandwidth. The progressive phase delay using the Rotman lens is realized independently using transmission lines to reduce the complexity of the design and improve the performance parameters. The dummy ports are terminated by λ/4 radial stubs which eliminates the need for via holes and expensive connectors which reduces the fabrication costs.

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: none
Teacher disagreement score0.667
Threshold uncertainty score0.577

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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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