Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual university campuses

•This paper presents a basic methodology for implementing an expert systems course.•This paper uses Open Simulator and Sloodle in virtual learning environments.•This paper shows a mathematical analysis model to apply an expert system course.•The paper shows the results into the statistical model and...

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Vydáno v:Expert systems with applications Ročník 40; číslo 18; s. 7381 - 7390
Hlavní autoři: González Crespo, Rubén, Escobar, Roberto Ferro, Joyanes Aguilar, Luis, Velazco, Sandra, Castillo Sanz, Andrés G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Ltd 15.12.2013
Elsevier
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ISSN:0957-4174, 1873-6793
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Abstract •This paper presents a basic methodology for implementing an expert systems course.•This paper uses Open Simulator and Sloodle in virtual learning environments.•This paper shows a mathematical analysis model to apply an expert system course.•The paper shows the results into the statistical model and its relation to reality. This paper describes the implementation of a virtual World based in GNU OpenSimulator. This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web sites using avatars created for that purpose. The Universities should be familiar with the creation of new metaverses. That is the reason why a new basic methodology for the creation of a course on expert systems within a metaverse in a virtual campus for e-learning. Besides the creation of a repository or island, it is necessary to make measurements of the performance of the server dedicated to host the system when the number of users of the application grows. In order to forecast the behavior of such servers, ARIMA based time series are used. The auto-correlogrames obtained are analyzed to formulate a statistical model, as close to reality as possible.
AbstractList This paper describes the implementation of a virtual World based in GNU OpenSimulator. This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web sites using avatars created for that purpose. The Universities should be familiar with the creation of new metaverses. That is the reason why a new basic methodology for the creation of a course on expert systems within a metaverse in a virtual campus for e-learning. Besides the creation of a repository or island, it is necessary to make measurements of the performance of the server dedicated to host the system when the number of users of the application grows. In order to forecast the behavior of such servers, ARIMA based time series are used. The auto-correlogrames obtained are analyzed to formulate a statistical model, as close to reality as possible.
•This paper presents a basic methodology for implementing an expert systems course.•This paper uses Open Simulator and Sloodle in virtual learning environments.•This paper shows a mathematical analysis model to apply an expert system course.•The paper shows the results into the statistical model and its relation to reality. This paper describes the implementation of a virtual World based in GNU OpenSimulator. This program offers a great variety of Web 3.0 ways of work, as it makes possible to visit web sites using avatars created for that purpose. The Universities should be familiar with the creation of new metaverses. That is the reason why a new basic methodology for the creation of a course on expert systems within a metaverse in a virtual campus for e-learning. Besides the creation of a repository or island, it is necessary to make measurements of the performance of the server dedicated to host the system when the number of users of the application grows. In order to forecast the behavior of such servers, ARIMA based time series are used. The auto-correlogrames obtained are analyzed to formulate a statistical model, as close to reality as possible.
Author Escobar, Roberto Ferro
Joyanes Aguilar, Luis
Velazco, Sandra
González Crespo, Rubén
Castillo Sanz, Andrés G.
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Issue 18
Keywords OpenSim
Sloodle
Expert systems
Artificial intelligence
ARIMA
Cloud computing
Statistical analysis
Expert system
Time series
Computer animation
Virtual community
Modeling
Open source software
Remote teaching
Teaching
Graphics
University
Graphical interface
Virtual reality
World wide web
Occupation time
Internet
Web site
Computer server
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Snippet •This paper presents a basic methodology for implementing an expert systems course.•This paper uses Open Simulator and Sloodle in virtual learning...
This paper describes the implementation of a virtual World based in GNU OpenSimulator. This program offers a great variety of Web 3.0 ways of work, as it makes...
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SubjectTerms Applied sciences
ARIMA
Artificial intelligence
Avatars
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Computer systems performance. Reliability
Distance education
Exact sciences and technology
Expert systems
General aspects
Islands
Mathematical analysis
Mathematical models
Occupational training. Personnel. Work management
OpenSim
Pattern recognition. Digital image processing. Computational geometry
Servers
Sloodle
Software
Time series
Title Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual university campuses
URI https://dx.doi.org/10.1016/j.eswa.2013.06.054
https://www.proquest.com/docview/1448738558
https://www.proquest.com/docview/1513475713
https://www.proquest.com/docview/1701027534
https://www.proquest.com/docview/1701122391
Volume 40
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