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Harnessing Web 3.0 and R to mitigate simulation validation restrictions. / Roungas, Bill; Meijer, Sebastiaan; Verbraeck, Alexander.

SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. ed. / Floriano De Rango; Mohammad S. Obaidat; Tuncer Oren. SciTePress, 2018. p. 44-54.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Roungas, B, Meijer, S & Verbraeck, A 2018, Harnessing Web 3.0 and R to mitigate simulation validation restrictions. in F De Rango, MS Obaidat & T Oren (eds), SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress, pp. 44-54, 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018, Porto, Portugal, 29/07/18.

APA

Roungas, B., Meijer, S., & Verbraeck, A. (2018). Harnessing Web 3.0 and R to mitigate simulation validation restrictions. In F. De Rango, M. S. Obaidat, & T. Oren (Eds.), SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (pp. 44-54). SciTePress.

Vancouver

Roungas B, Meijer S, Verbraeck A. Harnessing Web 3.0 and R to mitigate simulation validation restrictions. In De Rango F, Obaidat MS, Oren T, editors, SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress. 2018. p. 44-54

Author

Roungas, Bill ; Meijer, Sebastiaan ; Verbraeck, Alexander. / Harnessing Web 3.0 and R to mitigate simulation validation restrictions. SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. editor / Floriano De Rango ; Mohammad S. Obaidat ; Tuncer Oren. SciTePress, 2018. pp. 44-54

BibTeX

@inproceedings{d11b199d2fb24dc78f72e6f8c677abab,
title = "Harnessing Web 3.0 and R to mitigate simulation validation restrictions",
abstract = "The complexity of modern systems has made the use of simulations paramount, in order to test different scenarios in an affordable, ethical, and risk-free way. As such, simulations need to be validated, ensuring that the obtained results are meaningful. But validation apart from the computational difficulties, bears several other problems. The constant need for validation due to updates on the simulation software, the dependence on the validation experts to be always available for the new iterations and for presenting any new insights are just some of these problems. This paper proposes a framework, and applies it to two case studies, which is based on Web 3.0 technologies and the R statistical language as a mean to mitigate such problems.",
keywords = "Friso, Opentrack, R statistical language, Simulation, Validation, Web technologies",
author = "Bill Roungas and Sebastiaan Meijer and Alexander Verbraeck",
year = "2018",
month = "1",
day = "1",
language = "English",
pages = "44--54",
editor = "{De Rango}, Floriano and Obaidat, {Mohammad S.} and Tuncer Oren",
booktitle = "SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications",
publisher = "SciTePress",

}

RIS

TY - GEN

T1 - Harnessing Web 3.0 and R to mitigate simulation validation restrictions

AU - Roungas, Bill

AU - Meijer, Sebastiaan

AU - Verbraeck, Alexander

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The complexity of modern systems has made the use of simulations paramount, in order to test different scenarios in an affordable, ethical, and risk-free way. As such, simulations need to be validated, ensuring that the obtained results are meaningful. But validation apart from the computational difficulties, bears several other problems. The constant need for validation due to updates on the simulation software, the dependence on the validation experts to be always available for the new iterations and for presenting any new insights are just some of these problems. This paper proposes a framework, and applies it to two case studies, which is based on Web 3.0 technologies and the R statistical language as a mean to mitigate such problems.

AB - The complexity of modern systems has made the use of simulations paramount, in order to test different scenarios in an affordable, ethical, and risk-free way. As such, simulations need to be validated, ensuring that the obtained results are meaningful. But validation apart from the computational difficulties, bears several other problems. The constant need for validation due to updates on the simulation software, the dependence on the validation experts to be always available for the new iterations and for presenting any new insights are just some of these problems. This paper proposes a framework, and applies it to two case studies, which is based on Web 3.0 technologies and the R statistical language as a mean to mitigate such problems.

KW - Friso

KW - Opentrack

KW - R statistical language

KW - Simulation

KW - Validation

KW - Web technologies

UR - http://www.scopus.com/inward/record.url?scp=85062592563&partnerID=8YFLogxK

M3 - Conference contribution

SP - 44

EP - 54

BT - SIMULTECH 2018 - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

A2 - De Rango, Floriano

A2 - Obaidat, Mohammad S.

A2 - Oren, Tuncer

PB - SciTePress

ER -

ID: 57023371