Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme

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We present a model of Probability of Success Call Completion (PSCC) from a typical I/O procedure and computationally tested through Monte Carlo simulation with Gaussian profiles. Under the I/O view the input and transfer functions are prepared without to abandon the randomness nature of the phenomen...

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Detalles Bibliográficos
Autor: Nieto Chaupis, Huber
Formato: objeto de conferencia
Fecha de Publicación:2016
Institución:Universidad de Ciencias y Humanidades
Repositorio:UCH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uch.edu.pe:uch/371
Enlace del recurso:http://repositorio.uch.edu.pe/handle/uch/371
http://dx.doi.org/10.1109/ETCM.2016.7750828
https://ieeexplore.ieee.org/document/7750828
Nivel de acceso:acceso embargado
Materia:Delta functions
Intelligent systems
Quality of service
Delta-Dirac functions
Dirac delta function
Free parameters
Gaussian profiles
Input-output
Probability of success
PSCC
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spelling Nieto Chaupis, Huber12 October 2016 through 14 October 20162019-08-25T21:09:13Z2019-08-25T21:09:13Z2016-11Nieto Chaupis, H. (Octubre, 2016). Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme. En Technical Chapters Meeting (ETCM), Ecuador.http://repositorio.uch.edu.pe/handle/uch/371http://dx.doi.org/10.1109/ETCM.2016.7750828https://ieeexplore.ieee.org/document/775082810.1109/ETCM.2016.7750828IEEE Ecuador Technical Chapters Meeting, ETCM2-s2.0-85006975814We present a model of Probability of Success Call Completion (PSCC) from a typical I/O procedure and computationally tested through Monte Carlo simulation with Gaussian profiles. Under the I/O view the input and transfer functions are prepared without to abandon the randomness nature of the phenomenology. Because kernels are required by the I/O formulation, we have assumed that the Dirac-Delta functions play the role of kernels in according to the I/O representation. The results would indicate that under certain circumstances the formulation I/O is valid by a 10% of error respect to the Meo-Ajmone model. However, the weakness of the I/O approach would be in the extraction of a large number of free parameters, which do not necessarily encompasses the dynamic of phenomenon.Submitted by sistemas uch (sistemas@uch.edu.pe) on 2019-08-25T21:09:13Z No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5)Made available in DSpace on 2019-08-25T21:09:13Z (GMT). No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5) Previous issue date: 2016-11engInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/articleIEEE Ecuador Technical Chapters Meeting, ETCM 2016info:eu-repo/semantics/embargoedAccessRepositorio Institucional - UCHUniversidad de Ciencias y Humanidadesreponame:UCH-Institucionalinstname:Universidad de Ciencias y Humanidadesinstacron:UCHDelta functionsIntelligent systemsQuality of serviceDelta-Dirac functionsDirac delta functionFree parametersGaussian profilesInput-outputProbability of successPSCCModeling and Monte Carlo simulation of call completion success probabilities under the input-output schemeinfo:eu-repo/semantics/conferenceObjectuch/371oai:repositorio.uch.edu.pe:uch/3712019-12-20 18:34:00.8Repositorio UCHuch.dspace@gmail.com
dc.title.en_PE.fl_str_mv Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
title Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
spellingShingle Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
Nieto Chaupis, Huber
Delta functions
Intelligent systems
Quality of service
Delta-Dirac functions
Dirac delta function
Free parameters
Gaussian profiles
Input-output
Probability of success
PSCC
title_short Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
title_full Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
title_fullStr Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
title_full_unstemmed Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
title_sort Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
author Nieto Chaupis, Huber
author_facet Nieto Chaupis, Huber
author_role author
dc.contributor.author.fl_str_mv Nieto Chaupis, Huber
dc.subject.en.fl_str_mv Delta functions
Intelligent systems
Quality of service
Delta-Dirac functions
Dirac delta function
Free parameters
Gaussian profiles
Input-output
Probability of success
PSCC
topic Delta functions
Intelligent systems
Quality of service
Delta-Dirac functions
Dirac delta function
Free parameters
Gaussian profiles
Input-output
Probability of success
PSCC
description We present a model of Probability of Success Call Completion (PSCC) from a typical I/O procedure and computationally tested through Monte Carlo simulation with Gaussian profiles. Under the I/O view the input and transfer functions are prepared without to abandon the randomness nature of the phenomenology. Because kernels are required by the I/O formulation, we have assumed that the Dirac-Delta functions play the role of kernels in according to the I/O representation. The results would indicate that under certain circumstances the formulation I/O is valid by a 10% of error respect to the Meo-Ajmone model. However, the weakness of the I/O approach would be in the extraction of a large number of free parameters, which do not necessarily encompasses the dynamic of phenomenon.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2019-08-25T21:09:13Z
dc.date.available.none.fl_str_mv 2019-08-25T21:09:13Z
dc.date.issued.fl_str_mv 2016-11
dc.type.en_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.citation.en_PE.fl_str_mv Nieto Chaupis, H. (Octubre, 2016). Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme. En Technical Chapters Meeting (ETCM), Ecuador.
dc.identifier.uri.none.fl_str_mv http://repositorio.uch.edu.pe/handle/uch/371
http://dx.doi.org/10.1109/ETCM.2016.7750828
https://ieeexplore.ieee.org/document/7750828
dc.identifier.doi.en_PE.fl_str_mv 10.1109/ETCM.2016.7750828
dc.identifier.journal.en_PE.fl_str_mv IEEE Ecuador Technical Chapters Meeting, ETCM
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85006975814
identifier_str_mv Nieto Chaupis, H. (Octubre, 2016). Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme. En Technical Chapters Meeting (ETCM), Ecuador.
10.1109/ETCM.2016.7750828
IEEE Ecuador Technical Chapters Meeting, ETCM
2-s2.0-85006975814
url http://repositorio.uch.edu.pe/handle/uch/371
http://dx.doi.org/10.1109/ETCM.2016.7750828
https://ieeexplore.ieee.org/document/7750828
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.en_PE.fl_str_mv info:eu-repo/semantics/article
dc.relation.ispartof.none.fl_str_mv IEEE Ecuador Technical Chapters Meeting, ETCM 2016
dc.rights.en_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.coverage.temporal.none.fl_str_mv 12 October 2016 through 14 October 2016
dc.publisher.en_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.en_PE.fl_str_mv Repositorio Institucional - UCH
Universidad de Ciencias y Humanidades
dc.source.none.fl_str_mv reponame:UCH-Institucional
instname:Universidad de Ciencias y Humanidades
instacron:UCH
instname_str Universidad de Ciencias y Humanidades
instacron_str UCH
institution UCH
reponame_str UCH-Institucional
collection UCH-Institucional
repository.name.fl_str_mv Repositorio UCH
repository.mail.fl_str_mv uch.dspace@gmail.com
_version_ 1835549007365013504
score 13.936249
Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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