Výsledky vyhledávání - "Ville Kotovirta"

Akademický článek

Approach for simulating vehicle-based supply of sellable data products in smart cities – Parking space data as a use case

Autor: Marko Palviainen, Ville Kotovirta

Publikováno v: Journal of Urban Mobility, Vol 2, Iss , Pp 100011- (2022)

Mobile devices, sensors, 5G networks, digital platforms and data marketplaces provide emerging possibilities for smart cities and data business. This paper introduces a novel Data Market Simulation (DMS) approach that assists data suppliers in the fo

Externí odkaz: https://doaj.org/article/c87b36478b014847acefd1b9f365fcf0

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Development and competition of digital service platforms

Autor: Thomas Casey, Ville Kotovirta, Sampsa Ruutu

Publikováno v: Ruutu, S, Kotovirta, V & Casey, T 2017, ' Development and competition of digital service platforms : A system dynamics approach ', Technological Forecasting and Social Change, vol. 117, pp. 119-130 . https://doi.org/10.1016/j.techfore.2016.12.011

Digital service platforms are becoming widespread in all areas of society. One risk scenario in platform development is related to the fragmentation of development efforts and the failure to achieve a critical mass of platform users, while a second r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c421b76e6ccdfae26369cabfe1a1bb1
https://doi.org/10.1016/j.techfore.2016.12.011

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Towards analyzing large graphs with quantum annealing

Autor: Ville Kotovirta, Hannu Reittu, Lasse Leskelä, Tomi Raty, Hannu Rummukainen

Publikováno v: Reittu, H, Räty, T, Leskelä, L, Rummukainen, H & Räty, T 2019, Towards analyzing large graphs with quantum annealing . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), Proceedings-2019 IEEE International Conference on Big Data, Big Data 2019 ., 9006174, IEEE Institute of Electrical and Electronic Engineers, pp. 2457-2464, The 2019 IEEE International Conference on Big Data, Los Angeles, California, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9006174
IEEE BigData
2019 IEEE International Conference on Big Data (Big Data)

The use of quantum computing in graph community detection and regularity checking related to Szemerédi's Regularity Lemma (SRL) are demonstrated with D-Wave Systems' quantum annealer and simulations. We demonstrate the capability of quantum computin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eb72fbd340193273960637356e361da
https://cris.vtt.fi/ws/files/26873871/D_wave2Final.pdf

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Monitoring Suspended Solids and Total Phosphorus in Finnish Rivers

Autor: Esko Juuso, Mauno Rönkkö, Markku Ohenoja, Ville Kotovirta, Niina Kotamäki, Okko Kauhanen, Petri Koponen, Teemu Näykki, Maija Ojanen, Jari Koskiaho

Publikováno v: Rönkkö, M, Kauhanen, O, Koskiaho, J, Kotamäki, N, Näykki, T, Ohenoja, M, Juuso, E, Ojanen, M, Koponen, P & Kotovirta, V 2018, Monitoring Suspended Solids and Total Phosphorus in Finnish Rivers . in Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 ., 3, Linköping University Electronic Press, Linköping Electronic Conference Proceedings, no. 142, pp. 19-24, 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, 12/09/16 . https://doi.org/10.3384/ecp1714219

Monitoring of water quality should not be solely based on laboratory samples. Such activity, although producing reliable results, cannot provide an accurate enough temporal coverage for water quality monitoring. The Finnish Environment Institute, SYK

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60071e46695ec19422b1db952a93944c
https://cris.vtt.fi/en/publications/c5548cfb-44be-4478-a7b0-cc84f5cf9aed

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Corrigendum to 'Development and competition of digital service platforms: A system dynamics approach' [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130]

Autor: Sampsa Ruutu, Thomas Casey, Ville Kotovirta

Publikováno v: Ruutu, S, Casey, T & Kotovirta, V 2018, ' Corrigendum to "Development and competition of digital service platforms: A system dynamics approach" [Technol. Forecast. Soc. Chang. (117) (April 2017) 119–130] ', Technological Forecasting and Social Change, vol. 128, pp. 314-314 . https://doi.org/10.1016/j.techfore.2017.09.013

The authors regret that due to an error in the simulation model file, incorrect results were reported in the article related to the effects of data transferability on platform competition when the effect of user data on end user value is high (simula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cad18dde480c3ead3c578e32eb99544
https://cris.vtt.fi/en/publications/23b85268-14bf-47de-8270-8b84fc617aee

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CITIZEN SCIENCE FOR EARTH OBSERVATION: APPLICATIONS IN ENVIRONMENTAL MONITORING AND DISASTER RESPONSE

Autor: Tuomas Häme, Renne Tergujeff, Matthieu Molinier, Timo Toivanen, Ville Kotovirta

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 1221-1226 (2015)
Kotovirta, V, Toivanen, T, Tergujeff, R, Häme, T & Molinier, M 2015, Citizen science for earth observation : applications in environmental monitoring and disaster response . in G Schreier, P E Skrovseth & H Staudenrausch (eds), 36th International Symposium on Remote Sensing of Environment (ISRSE 2015) . Copernicus Publications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-7/W3, pp. 1221-1226, 36th International Symposium on Remote Sensing of Environment, ISRSE-36, Berlin, Germany, 11/05/15 . https://doi.org/10.5194/isprsarchives-XL-7-W3-1221-2015

Citizen science is a promising way to increase temporal and spatial coverages of in-situ data, and to aid in data processing and analysis. In this paper, we present how citizen science can be used together with Earth observation, and demonstrate its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5fe09c94d56a29e2d0a39827eb77172
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1221/2015/isprsarchives-XL-7-W3-1221-2015.pdf

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A system for route optimization in ice-covered waters

Autor: Robin Berglund, Kaj Riska, Risto Jalonen, Lars Axell, Ville Kotovirta

Publikováno v: Kotovirta, V, Jalonen, R, Axell, L, Riska, K & Berglund, R 2009, ' A system for route optimization in ice-covered waters ', Cold Regions Science and Technology, vol. 55, no. 1, pp. 52-62 . https://doi.org/10.1016/j.coldregions.2008.07.003

Information about ice is indispensable to navigation in ice-covered sea areas. For vessels traveling long distances in ice, it is worth planning routes that will reduce fuel consumption and travel time, as well as the risk of ending up in hazardous a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da3912a189e2aeff2d516e759619876d
https://cris.vtt.fi/en/publications/a2677d53-148e-4f84-ab53-b1326bb39de7

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A system for icebreaker navigation and assistance planning using spaceborne SAR information in the Baltic Sea

Autor: Ville Kotovirta, Ari Seinä, Robin Berglund

Publikováno v: Berglund, R, Kotovirta, V & Seinä, A 2007, ' A system for icebreaker navigation and assistance planning using spaceborne SAR information in the Baltic Sea ', Canadian Journal of Remote Sensing, vol. 33, no. 5, pp. 378-387 . https://doi.org/10.5589/m07-042

The two most heavily navigated waterways in the world, where seasonal sea ice plays an important role in navigation, are the Gulf of St. Lawrence in Canada and the Baltic Sea in Europe. Spaceborne synthetic aperture radar (SAR) has been used operatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d26932e6c7d4e42ab8419bff3d80789c
https://doi.org/10.5589/m07-042

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Advances in combining optical citizen observations on water quality with satellite observations as part of an environmental monitoring system

Autor: Timo Toivanen, Kari Kallio, Matti Lindholm, Matthieu Molinier, Timo Pyhälahti, Sampsa Koponen, Chengyuan Peng, Ville Kotovirta, Saku Anttila, Marnix Laanen, Marko Järvinen

Publikováno v: Pyhälahti, T, Toivanen, T, Kallio, K, Järvinen, M, Molinier, M, Koponen, S, Kotovirta, V, Peng, C Y, Anttila, S, Laanen, M & Lindholm, M 2015, Advances in combining optical citizen observations on water quality with satellite observations as part of an environmental monitoring system . in 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) . IEEE Institute of Electrical and Electronic Engineers, pp. 5395-5398, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milano, Italy, 26/07/15 . https://doi.org/10.1109/IGARSS.2015.7327055
IGARSS

Citizen observations, environmental data gathered by volunteers without professional observation capabilities, have been extensively used for Finnish water quality monitoring tasks. Recently, mobile smartphones and their digital cameras have enabled

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6abec7ced2a26bf436afcec633eb8c2
https://cris.vtt.fi/en/publications/b2d3b558-dd44-48a9-9376-b11c5fcb30f8

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Automated preprocessing of environmental data

Autor: Mauno Rönkkö, Ville Kotovirta, Venkatachalam Chandrasekar, Jani Heikkinen

Publikováno v: Rönkkö, M, Heikkinen, J & Kotovirta, V 2015, ' Automated preprocessing of environmental data ', Future Generation Computer Systems, vol. 45, pp. 13-24 . https://doi.org/10.1016/j.future.2014.10.011

In this article we discuss automated preprocessing of environmental data for further use. Environmental data is by default heterogeneous, as it may consist of data from sources such as weather stations, weather radars, chemical sensors, acoustic sens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ca03805d76b1ceac824de66b4583e7
https://cris.vtt.fi/en/publications/ecec86b5-b339-4030-b448-4c86980dfeda

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