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Record W2029764407 · doi:10.1109/pimrc.2010.5671756

Integrating wireless actuation capabilities with the 3GPP IP Multimedia Subsystem for enhanced multimedia services

2010· article· en· W2029764407 on OpenAlexafffund
Hou Rucheng, Roch Glitho, Ferhat Khendek, Mustafa Mehmet-Ali

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIP Multimedia SubsystemComputer scienceMultimediaProvisioningWirelessArchitectureComputer networkComponent (thermodynamics)Key (lock)CornerstoneFunction (biology)TelecommunicationsQuality of serviceComputer security

Abstract

fetched live from OpenAlex

Wireless actuators are small scale devices that can receive/accept instructions and act on their environment. The IP Multimedia Subsystem (IMS) is a key component for 3G networks. It aims at seamless provisioning of multimedia services. Combining actuation capabilities with IMS capabilities will certainly enable novel value added services. This paper proposes an architecture for the integration of wireless actuation with IMS. The cornerstone of the architecture is the actuation control function, a new functional entity that we introduce into the IMS architecture. A proof of concept prototype has also been developed along with an application to demonstrate the potential of such an integration.

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: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.492

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 science0.0010.000
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 head0.008
GPT teacher head0.242
Teacher spread0.233 · 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
GenreEmpirical

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

Citations4
Published2010
Admission routes2
Has abstractyes

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