A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task

Max Casanca-Osccorima; Lilibeth Solis-Munoz; Pedro Shiguihara

doi:10.1109/SHIRCON53068.2021.9652320

A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task

Max Casanca-Osccorima
, Lilibeth Solis-Munoz
, Pedro Shiguihara

Faculty of Health Sciences

Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Ultraviolet radiation is responsible for premature aging, melanomas, carcinomas and a large number of cases of skin cancer, despite the fact that it is the easiest risk factor to prevent in people. There are sources such as web and mobile applications and even industrial instruments that claim to measure the UV radiation index (UVI). In this work, four experiments were conducted to evaluate the relationship of the UV radiation index (UVI) with time and climatic variables such as humidity, temperature and sky condition. We found industrial instrument indicates lower radiation values, since it has a sensor that is affected by various climatic factors, while the applications that use the Global Positioning System (GPS) indicate high values. However, it was also determined that the margin of error of these is tolerable for taking preventive measures. We contribute with a collected data set of UVI and weather condition in Peru.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665429146
DOIs	https://doi.org/10.1109/SHIRCON53068.2021.9652320
State	Published - 2021
Event	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 - Lima, Peru Duration: 17 Nov 2021 → 19 Nov 2021

Publication series

Name	Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

Conference

Conference	5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
Country/Territory	Peru
City	Lima
Period	17/11/21 → 19/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

UVI dataset
UVI prediction
dataset collection

Access to Document

10.1109/SHIRCON53068.2021.9652320

Cite this

Casanca-Osccorima, M., Solis-Munoz, L., & Shiguihara, P. (2021). A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task. In Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SHIRCON53068.2021.9652320

Casanca-Osccorima, Max ; Solis-Munoz, Lilibeth ; Shiguihara, Pedro. / A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task. Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021).

@inproceedings{2ecf953f61c84f51a2e8c51d45da0505,

title = "A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task",

abstract = "Ultraviolet radiation is responsible for premature aging, melanomas, carcinomas and a large number of cases of skin cancer, despite the fact that it is the easiest risk factor to prevent in people. There are sources such as web and mobile applications and even industrial instruments that claim to measure the UV radiation index (UVI). In this work, four experiments were conducted to evaluate the relationship of the UV radiation index (UVI) with time and climatic variables such as humidity, temperature and sky condition. We found industrial instrument indicates lower radiation values, since it has a sensor that is affected by various climatic factors, while the applications that use the Global Positioning System (GPS) indicate high values. However, it was also determined that the margin of error of these is tolerable for taking preventive measures. We contribute with a collected data set of UVI and weather condition in Peru.",

keywords = "UVI dataset, UVI prediction, dataset collection",

author = "Max Casanca-Osccorima and Lilibeth Solis-Munoz and Pedro Shiguihara",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

year = "2021",

doi = "10.1109/SHIRCON53068.2021.9652320",

language = "Ingl{\'e}s",

series = "Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Casanca-Osccorima, M, Solis-Munoz, L & Shiguihara, P 2021, A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task. in Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021, Lima, Peru, 17/11/21. https://doi.org/10.1109/SHIRCON53068.2021.9652320

A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task. / Casanca-Osccorima, Max; Solis-Munoz, Lilibeth; Shiguihara, Pedro.
Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task

AU - Casanca-Osccorima, Max

AU - Solis-Munoz, Lilibeth

AU - Shiguihara, Pedro

PY - 2021

Y1 - 2021

N2 - Ultraviolet radiation is responsible for premature aging, melanomas, carcinomas and a large number of cases of skin cancer, despite the fact that it is the easiest risk factor to prevent in people. There are sources such as web and mobile applications and even industrial instruments that claim to measure the UV radiation index (UVI). In this work, four experiments were conducted to evaluate the relationship of the UV radiation index (UVI) with time and climatic variables such as humidity, temperature and sky condition. We found industrial instrument indicates lower radiation values, since it has a sensor that is affected by various climatic factors, while the applications that use the Global Positioning System (GPS) indicate high values. However, it was also determined that the margin of error of these is tolerable for taking preventive measures. We contribute with a collected data set of UVI and weather condition in Peru.

AB - Ultraviolet radiation is responsible for premature aging, melanomas, carcinomas and a large number of cases of skin cancer, despite the fact that it is the easiest risk factor to prevent in people. There are sources such as web and mobile applications and even industrial instruments that claim to measure the UV radiation index (UVI). In this work, four experiments were conducted to evaluate the relationship of the UV radiation index (UVI) with time and climatic variables such as humidity, temperature and sky condition. We found industrial instrument indicates lower radiation values, since it has a sensor that is affected by various climatic factors, while the applications that use the Global Positioning System (GPS) indicate high values. However, it was also determined that the margin of error of these is tolerable for taking preventive measures. We contribute with a collected data set of UVI and weather condition in Peru.

KW - UVI dataset

KW - UVI prediction

KW - dataset collection

UR - https://www.scopus.com/pages/publications/85124429713

U2 - 10.1109/SHIRCON53068.2021.9652320

DO - 10.1109/SHIRCON53068.2021.9652320

M3 - Contribución a la conferencia

AN - SCOPUS:85124429713

T3 - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

BT - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021

Y2 - 17 November 2021 through 19 November 2021

ER -

Casanca-Osccorima M, Solis-Munoz L, Shiguihara P. A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task. In Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021). doi: 10.1109/SHIRCON53068.2021.9652320

A Method for Data Collection and Comparison of UVI Sources for Supervised Learning Task

Abstract

Publication series

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UN SDGs

Keywords

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