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Record W1994652315 · doi:10.1109/ccece.2012.6335009

VoIP based solution for the use over a campus environment

2012· article· en· W1994652315 on OpenAlexaffabout
Xinyan Wei, Yassine Bouslimani, Kheireddine Sellal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicWireless Networks and Protocols
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsVoice over IPComputer scienceComputer networkServerResidential gatewayDefault gatewayLocal area networkTelephonyContext (archaeology)Session Initiation ProtocolMobile communications over IPCampus networkPhoneWide area networkThe InternetTelecommunicationsBase stationOperating systemPublic land mobile network

Abstract

fetched live from OpenAlex

Over the past decade there has been significant rising of the use of Voice-over-Internet-Protocol (VoIP) to reduce communication costs. This paper describes a VoIP based solution designed for the use over a campus environment taking in consideration context and architecture of computer networks: Local Area Network, Personal Area Network, Campus Area Network, Wireless Local Area Network, Metropolitan Area Network and Wide Area Network. For the concerned campus, the operating costs of phone systems take a large part of the budget and the proposed solution is designed to carry all telephony signals by offering a new communication tool in which data packet streams are transmitted over IP. Like a standard SIP server, this economic solution is a IP software but can act at the same time as a phone gateway for the phone system. We will present the central servers for two of campus of University of Moncton along with the administrational functions. After that, the tests that have been made on base of these servers will be discussed as another part of this paper.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.147

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 head0.053
GPT teacher head0.260
Teacher spread0.207 · 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 designNot applicable
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

Citations7
Published2012
Admission routes2
Has abstractyes

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