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Record W1808570166 · doi:10.7815/ijorcs.11.2011.003

Free Space Optics: Atmospheric Effects & Back U

2011· article· en· W1808570166 on OpenAlex
Gurdeep Singh, Tanvir Singh, Vinaykant, Vasishath Kaushal

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

VenueInternational Journal of Research in Computer Science · 2011
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsCentennial College
Fundersnot available
KeywordsSpace (punctuation)OpticsEnvironmental sciencePhysicsRemote sensingAstrobiologyGeologyComputer science

Abstract

fetched live from OpenAlex

The Free space optical communication technology tries to fulfill rising need for high bandwidth transmission capability link along with security and ease in installation. Due to their high carrier frequency in the range of 300 THz, it provides highest data rates of 2.5 Gbps which can be increased to 10 Gbps using Wavelength Division Multiplexing (WDM). FSO link is license free, secure, and easily deployable and offers low bit error rate link. These features motivate to use FSO as a solution to last mile access. Along with these attractive features of FSO, a well-known disadvantage of (FSO) is its sensitivity on local weather conditions which results in loss of optical signal power. In this paper we will discuss performance analysis of FSO in different weather conditions..

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.803
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.076
GPT teacher head0.353
Teacher spread0.276 · 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