Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jani Koivusaari"'
Publikováno v:
Systems, Vol 3, Iss 3, Pp 81-108 (2015)
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissions. As part of solving these challenges, the use of renewable energy sources and electric vehicles (EVs) is rapidly increasing. However, increased dy
Externí odkaz:
https://doaj.org/article/46f16ca0c6b645b1a816c8c1799012c7
Publikováno v:
Building and Environment
Publikováno v:
HICSS
Pakkala, D, Koivusaari, J, Pääkkönen, P & Spohrer, J 2020, An Experimental Case Study on Edge Computing based Cyber-Physical Digital Service Provisioning with Mobile Robotics . in T X Bui (ed.), Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 . University of Hawaii Press, Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 53, pp. 1165-1174, 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020, Maui, Hawaii, United States, 7/01/20 . https://doi.org/10.24251/HICSS.2020.145
Pakkala, D, Koivusaari, J, Pääkkönen, P & Spohrer, J 2020, An Experimental Case Study on Edge Computing based Cyber-Physical Digital Service Provisioning with Mobile Robotics . in T X Bui (ed.), Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 . University of Hawaii Press, Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 53, pp. 1165-1174, 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020, Maui, Hawaii, United States, 7/01/20 . https://doi.org/10.24251/HICSS.2020.145
Digitalization of physical interaction and infrastructure intensive industries provides an opportunity for new kind of value co-creation via cyber-physical digital service provisioning. The rapid technological progress is enabling re-distribution of
Autor:
Pauli Räsänen, Jussi Ronkainen, Johanna Kallio, Jani Koivusaari, Salla Muuraiskangas, Elena Vildjiounaite, Vesa Kyllönen, Heidi Similä, Kaisa Vehmas
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030342548
AmI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Ambient Intelligence
Ambient Intelligence-15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings
AmI
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Ambient Intelligence
Ambient Intelligence-15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings
Considering that urban people spend majority of their time indoors, buildings should support health and productivity. However, quite commonly unsatisfactory Indoor Environmental Quality (IEQ) causes environmental stress, which can lead to adverse hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115cb5f4739d79cfa6b028a2a72709e7
https://doi.org/10.1007/978-3-030-34255-5_3
https://doi.org/10.1007/978-3-030-34255-5_3
Publikováno v:
Systems, Vol 3, Iss 3, Pp 81-108 (2015)
Latvakoski, J, Mäki, K, Ronkainen, J, Julku, J & Koivusaari, J 2015, ' Simulation-based approach for studying the balancing of local smart grids with electric vehicle batteries ', Systems, vol. 3, no. 3, pp. 81-108 . https://doi.org/10.3390/systems3030081
Systems
Volume 3
Issue 3
Pages 81-108
Latvakoski, J, Mäki, K, Ronkainen, J, Julku, J & Koivusaari, J 2015, ' Simulation-based approach for studying the balancing of local smart grids with electric vehicle batteries ', Systems, vol. 3, no. 3, pp. 81-108 . https://doi.org/10.3390/systems3030081
Systems
Volume 3
Issue 3
Pages 81-108
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissions. As part of solving these challenges, the use of renewable energy sources and electric vehicles (EVs) is rapidly increasing. However, increased dy
Publikováno v:
Ubiquitous Computing and Ambient Intelligence ISBN: 9783319487984
UCAmI (2)
UCAmI (2)
A typical application scenario related to the Internet of Things consists of smart sensing devices collecting and transmitting measurement data from their surroundings to a back-end. Efficiently deploying such devices on the field for the purposes of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70040490cc013928c1fe88bf8bb5ae7f
https://doi.org/10.1007/978-3-319-48799-1_32
https://doi.org/10.1007/978-3-319-48799-1_32
Autor:
Willem van Driel, Werner Rom, Maarjana Komi, Javier Rivilla, Jani Koivusaari, Luis Dominguez, Ramiro Robles, Peter Priller
Publikováno v:
DSD
Rom, W, Priller, P, Koivusaari, J, Komi, M, Robles, R, Dominguez, L, Rivilla, J & Driel, W V 2015, DEWI-Wirelessly into the future . in Proceedings of the 8th Euromicro Conference on Digital System Design . IEEE Institute of Electrical and Electronic Engineers, pp. 730-739, 8th Euromicro Conference on Digital System Design, DSD 2015, Funchal, Madeira, Portugal, 30/08/05 . https://doi.org/10.1109/DSD.2015.114
Rom, W, Priller, P, Koivusaari, J, Komi, M, Robles, R, Dominguez, L, Rivilla, J & Driel, W V 2015, DEWI-Wirelessly into the future . in Proceedings of the 8th Euromicro Conference on Digital System Design . IEEE Institute of Electrical and Electronic Engineers, pp. 730-739, 8th Euromicro Conference on Digital System Design, DSD 2015, Funchal, Madeira, Portugal, 30/08/05 . https://doi.org/10.1109/DSD.2015.114
The ARTEMIS 1 project DEWI ("Dependable Embedded Wireless Infrastructure") focusses on the area of wireless sensor / actuator networks and wireless communication. With its four industrial domains (Aeronautics, Automotive, Rail, and Building) and 21 c
Autor:
Jani Koivusaari, Riku Mäkynen, Johannes Peltola, Johanna Kallio, Pauli Räsänen, Jaakko Tervonen
Publikováno v:
Building and Environment
Kallio, J, Tervonen, J, Räsänen, P, Mäkynen, R, Koivusaari, J & Peltola, J 2021, ' Forecasting office indoor CO 2 concentration using machine learning with a one-year dataset ', Building and Environment, vol. 187, 107409 . https://doi.org/10.1016/j.buildenv.2020.107409
Kallio, J, Tervonen, J, Räsänen, P, Mäkynen, R, Koivusaari, J & Peltola, J 2021, ' Forecasting office indoor CO 2 concentration using machine learning with a one-year dataset ', Building and Environment, vol. 187, 107409 . https://doi.org/10.1016/j.buildenv.2020.107409
Modern buildings are expected to fulfill energy efficiency regulations while providing a healthy and comfortable living environment for their occupants. Demand-controlled heating, ventilation, and air conditioning can improve energy efficiency and we
Autor:
Sudeshkumar, Moranahalli Ponnusamy1 (AUTHOR), Francis Xavier, Joseph Raj2 (AUTHOR), Balu, Pandian3 (AUTHOR), Jayaseelan, Veerasundaram4 (AUTHOR), Sudhakar, Kumarasamy5,6,7 (AUTHOR) sudhakar@ump.edu.my
Publikováno v:
Environmental Quality Management. Sep2022, Vol. 32 Issue 1, p125-131. 7p. 3 Charts, 4 Graphs.
Autor:
Bergefurt, Lisanne, Appel-Meulenbroek, Rianne, Maris, Celine, Arentze, Theo, Weijs-Perrée, Minou, de Kort, Yvonne
Publikováno v:
Ergonomics; Jan2023, Vol. 66 Issue 1, p16-33, 18p