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Record W2096818451 · doi:10.1109/glocom.1991.188459

Multi-control channel very high-speed optical fiber local area networks and their interconnections using a passive star topology

2002· article· en· W2096818451 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Time Synchronization Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStar networkStar (game theory)Wavelength-division multiplexingChannel (broadcasting)Computer networkComputer scienceNetwork packetMultiplexingControl channelAlohaNetwork topologyLocal area networkTopology (electrical circuits)Optical Transport NetworkPassive optical networkTelecommunicationsEngineeringElectrical engineeringThroughputWavelengthPhysicsWireless

Abstract

fetched live from OpenAlex

A multi-control-channel LAN (local area network) configuration is introduced for optical star networks using Aloha protocols. It works on the principle of grouping the users of the system into various groups and providing a separate control channel for each group. The users in a group usually monitor their control channel for a possible control packet from other users. The users in a group can temporarily become members of other groups, thus achieving intergroup communication very easily. This principle can also be used to interconnect optical star LANs using the WDM (wavelength division multiplexing) technology and Aloha protocols. Two methods for star interconnections are presented, their choice depending upon whether there is a limitation on the optical star size or on the number of WDM channels.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.736

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 head0.020
GPT teacher head0.214
Teacher spread0.193 · 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