Anatomy of automatic mobile carbon footprint calculator

Ville Könönen, Miikka Ermes, Jussi Liikka, Arttu Lämsä, Timo Rantalainen, Harri Paloheimo, Jani Mäntyjärvi

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

2 Citations (Scopus)

Abstract

A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller
Original languageEnglish
Title of host publicationAdvances in Grid and Pervasive Computing. GPC 2011
PublisherSpringer
Pages84-93
ISBN (Print)978-364220753-2
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Grid and Pervasive Computing, GPC 2011 - Oulu, Finland
Duration: 11 May 201113 May 2011

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer
Volume6646
ISSN (Print)0302-9743

Conference

Conference6th International Conference on Grid and Pervasive Computing, GPC 2011
Abbreviated titleGPC
CountryFinland
CityOulu
Period11/05/1113/05/11

Fingerprint

Carbon footprint
Carbon
Online systems
Smartphones
Mobile devices
Energy efficiency
Fusion reactions

Cite this

Könönen, V., Ermes, M., Liikka, J., Lämsä, A., Rantalainen, T., Paloheimo, H., & Mäntyjärvi, J. (2011). Anatomy of automatic mobile carbon footprint calculator. In Advances in Grid and Pervasive Computing. GPC 2011 (pp. 84-93). Springer. Lecture Notes in Computer Science, Vol.. 6646 https://doi.org/10.1007/978-3-642-20754-9_10
Könönen, Ville ; Ermes, Miikka ; Liikka, Jussi ; Lämsä, Arttu ; Rantalainen, Timo ; Paloheimo, Harri ; Mäntyjärvi, Jani. / Anatomy of automatic mobile carbon footprint calculator. Advances in Grid and Pervasive Computing. GPC 2011. Springer, 2011. pp. 84-93 (Lecture Notes in Computer Science, Vol. 6646).
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abstract = "A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77{\%} and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller",
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Könönen, V, Ermes, M, Liikka, J, Lämsä, A, Rantalainen, T, Paloheimo, H & Mäntyjärvi, J 2011, Anatomy of automatic mobile carbon footprint calculator. in Advances in Grid and Pervasive Computing. GPC 2011. Springer, Lecture Notes in Computer Science, vol. 6646, pp. 84-93, 6th International Conference on Grid and Pervasive Computing, GPC 2011, Oulu, Finland, 11/05/11. https://doi.org/10.1007/978-3-642-20754-9_10

Anatomy of automatic mobile carbon footprint calculator. / Könönen, Ville; Ermes, Miikka; Liikka, Jussi; Lämsä, Arttu; Rantalainen, Timo; Paloheimo, Harri; Mäntyjärvi, Jani.

Advances in Grid and Pervasive Computing. GPC 2011. Springer, 2011. p. 84-93 (Lecture Notes in Computer Science, Vol. 6646).

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

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N2 - A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller

AB - A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller

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Könönen V, Ermes M, Liikka J, Lämsä A, Rantalainen T, Paloheimo H et al. Anatomy of automatic mobile carbon footprint calculator. In Advances in Grid and Pervasive Computing. GPC 2011. Springer. 2011. p. 84-93. (Lecture Notes in Computer Science, Vol. 6646). https://doi.org/10.1007/978-3-642-20754-9_10