MétaCan
Menu
Back to cohort
Record W2027025823 · doi:10.1145/1577769.1577773

Message broadcast using optical orthogonal codes in vehicular communication systems

2007· article· en· W2027025823 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
FieldEngineering
Topicgraph theory and CDMA systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceAtomic broadcastMultimedia Broadcast Multicast ServiceBroadcast radiationBroadcast communication networkCommunications systemVehicular communication systemsComputer networkBroadcasting (networking)Vehicular ad hoc networkTelecommunicationsWirelessWireless ad hoc network

Abstract

fetched live from OpenAlex

Broadcast communication is considered to be especially important in delivering safety messages in vehicular environments. In this paper, we introduce and explore a new method for message broadcast based on repetition. The proposed method uses optical orthogonal codes in vehicular broadcast communications to increase the probability of detection and reduce reception delay. We formulate a general framework in which we can examine and evaluate the performance of broadcast schemes based on repetition. This framework is used to compare our method to other proposed broadcast methods.

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)0.001
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: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.233
Teacher spread0.219 · 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

Quick stats

Citations21
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicgraph theory and CDMA systemsFrench-language works237,207