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Record W1970578244 · doi:10.1109/milcom.2009.5380073

An adaptive VHF/UHF system for the next generation tactical MANETs

2009· article· en· W1970578244 on OpenAlexaff
Isabelle Labbé, Benoit Gagnon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsUltra high frequencyComputer networkComputer scienceBandwidth (computing)Mobile ad hoc networkWireless ad hoc networkOrthogonal frequency-division multiplexingTelecommunicationsChannel (broadcasting)Wireless

Abstract

fetched live from OpenAlex

Tactical mobile ad hoc networks (MANETs) have a continued growth in bandwidth demand mainly driven by the introduction of new user services and applications. Everything over IP is one of the main requirements of the next generation tactical MANETs. As part of an initial investigation to provide enhanced tactical IP networking capabilities, an adaptive VHF/UHF system that attempts to satisfy the mobility, capacity and adaptability requirements of the new tactical environment was developed. The solution includes a multi-rate Orthogonal Frequency Division Multiplexing (OFDM) VHF/UHF line-of-sight (LOS) radio modem and a fully distributed multi-channel media access protocol that supports integrated voice and data. A description of the two technologies is provided along with the main features and novel functionalities of the system.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.460

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 communication0.0000.001
Open science0.0020.000
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 head0.165
GPT teacher head0.349
Teacher spread0.184 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations5
Published2009
Admission routes1
Has abstractyes

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