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Record W1600693719 · doi:10.1109/icupc.1996.557945

WFMTS: An intelligent networks solution for universal personal communications

2002· article· en· W1600693719 on OpenAlexaff
Hazem El-Gendy

Bibliographic record

VenueProceedings of ICUPC - 5th International Conference on Universal Personal Communications · 2002
Typearticle
Languageen
FieldComputer Science
TopicWireless Communication Networks Research
Canadian institutionsInro Consultants (Canada)
Fundersnot available
KeywordsTelephonyComputer scienceComputer networkTelephone networkMobile telephonyIntelligent NetworkMobile radio telephoneVoice over IPTelecommunicationsService (business)Cellular networkTelecommunications servicePublic land mobile networkNetwork architectureMobile radioWorld Wide WebTelephone lineThe Internet

Abstract

fetched live from OpenAlex

This paper presents the architecture, network configuration, protocol, and design of a Wired "Follow Me" Telephony Service (WFMTS). WFMTS provides personalized mobile telephony services using only the wired network. It allows the users to have their calls follow them wherever they are as long as there is a telephone where they are. This is provided without having to use either the satellite network or the cellular telephony network. This is provided, due to the advanced technology used, without any significant increase in the network load (e.g., in terms of traffic or processing requirements). Nevertheless, the user's calls can be directed to the users even when the users are out of town or even out of the country.

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 categoriesMeta-epidemiology (narrow), Open science
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 score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0120.003
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 head0.177
GPT teacher head0.355
Teacher spread0.178 · 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.

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

Citations1
Published2002
Admission routes1
Has abstractyes

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