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Record W2972883035

Application of Reflecting Panels in Realisation of Antenna Corridor for Train Communications

2019· article· en· W2972883035 on OpenAlex
Nima Jamaly, Stefan Mauron, Ahmed A. Kishk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Conference on Antennas and Propagation · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsAntenna (radio)Reflector (photography)Omnidirectional antennaComputer sciencePeriscope antennaWirelessRepeater (horology)Directional antennaElectrical engineeringEngineeringTelecommunicationsPhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

At the advent of 5G mobile communication systems, reliable and fast wireless communications for the user equipments onboard a train is crucial. One of the desirable cost-effective solutions is to use dedicated antennas installed along the train tracks. This is known as so-called antenna corridor. Usually, the antenna corridor solution is used in combination with an antenna on the roof-top of the wagon and a repeater plus one (or few) leaky feeder cables inside the compartment. Nevertheless, for certain reasons, it is more desirable to receive signals into the wagon directly through its window panes. The latter causes extra losses due to the wide (i.e., ≈ 90°) arrival angles between incoming waves and the window panes’ surface vector. In this paper, we propose to use a passive reflector which is installed alongside the railway track to forward the incoming waves towards the wagon. We use a simple 45° slanted plane reflector and quantify the reduction it yields in pathloss between an arbitrary transmit antenna and an ideal dual-port dual-polarised isotropic antenna within a selected wagon.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.334

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 head0.071
GPT teacher head0.301
Teacher spread0.230 · 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