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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Toward the Emergence of Entrepreneurial Opportunities: Organizing Early-Phase New Venture Creation Support Systems.\n \n \n \n \n\n\n \n Nair, S.; Gaim, M.; and Dimov, D.\n\n\n \n\n\n\n Academy of Management Review, 47(1): 162–183. January 2022.\n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{nair_toward_2022,\n\ttitle = {Toward the {Emergence} of {Entrepreneurial} {Opportunities}: {Organizing} {Early}-{Phase} {New} {Venture} {Creation} {Support} {Systems}},\n\tvolume = {47},\n\tissn = {0363-7425, 1930-3807},\n\tshorttitle = {Toward the {Emergence} of {Entrepreneurial} {Opportunities}},\n\turl = {http://journals.aom.org/doi/full/10.5465/amr.2019.0040},\n\tdoi = {10.5465/amr.2019.0040},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-03-09},\n\tjournal = {Academy of Management Review},\n\tauthor = {Nair, Sujith and Gaim, Medhanie and Dimov, Dimo},\n\tmonth = jan,\n\tyear = {2022},\n\tpages = {162--183},\n}\n\n
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\n  \n 2021\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n KvarkenSat: mission concept and technical overview of a 2U Swedish - Finnish CubeSat.\n \n \n \n\n\n \n Golemis, A.; Peroy, C.; Lindkvist, E.; Gustavsson, J.; Persson, O.; Nordberg, O.; Kinnunen, A.; Selvan, K.; Kuusniemi, H.; Rutledge, K.; Praks, J.; Näsilä, A.; Yli-Opas, P.; and Laufer, R.\n\n\n \n\n\n\n In 72nd International Astronautical Congress (IAC) 2021, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{golemis_kvarkensat_2021,\n\ttitle = {{KvarkenSat}: mission concept and technical overview of a {2U} {Swedish} - {Finnish} {CubeSat}.},\n\tbooktitle = {72nd {International} {Astronautical} {Congress} ({IAC}) 2021},\n\tauthor = {Golemis, Aris and Peroy, Cristóbal and Lindkvist, Edvin and Gustavsson, Jimmy and Persson, Olle and Nordberg, Olle and Kinnunen, Antti and Selvan, Kannan and Kuusniemi, Heidi and Rutledge, Kendall and Praks, Jaan and Näsilä, Antti and Yli-Opas, Perttu and Laufer, René},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n \n Urban Ecological Footprint of the City of Vaasa with Open Access Data.\n \n \n \n \n\n\n \n Braun, S.\n\n\n \n\n\n\n In Bachelor Thesis, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"UrbanPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{braun_urban_2021,\n\ttitle = {Urban {Ecological} {Footprint} of the {City} of {Vaasa} with {Open} {Access} {Data}.},\n\tcopyright = {fi=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.{\\textbar}sv=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.{\\textbar}en=All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.{\\textbar}},\n\turl = {http://www.theseus.fi/handle/10024/505398},\n\tabstract = {This thesis was commissioned by Novia University of Applied Sciences. The aim of this thesis was to calculate the Urban Ecological Footprint (UEF) of the city Vaasa and to develop a repeatable methodology for future assessment of other cities in Finland.  \n \nWith respect to the methodology, input-output analysis was conducted, and the identified data were computed into a value representing the UEF of Vaasa. Data was collected from FAOstat, LUKE, SYKE, Statistics Finland, and the Corine Land Cover (CLC) 2018 database and processed with equations provided by the Global Footprint Network.  \n \nThe assessment resulted in an Ecological Footprint of 4.24 gha/cap. Due to the available Biocapacity of 1.27 gha/cap the assessment concluded an Ecological Deficit of -2.97 gha/cap. The results suggest that the Ecological Footprint of an average Vaasa citizen is more sustainable than the Ecological Footprint of an average Finnish person. Finally, limitations of the methodology are identified, and improvements are suggested with more consistent data sources for future application in UEF calculations in Finland.},\n\tlanguage = {eng},\n\turldate = {2021-11-29},\n\tbooktitle = {Bachelor {Thesis}},\n\tauthor = {Braun, Sebastian},\n\tyear = {2021},\n}\n\n
\n
\n\n\n
\n This thesis was commissioned by Novia University of Applied Sciences. The aim of this thesis was to calculate the Urban Ecological Footprint (UEF) of the city Vaasa and to develop a repeatable methodology for future assessment of other cities in Finland. With respect to the methodology, input-output analysis was conducted, and the identified data were computed into a value representing the UEF of Vaasa. Data was collected from FAOstat, LUKE, SYKE, Statistics Finland, and the Corine Land Cover (CLC) 2018 database and processed with equations provided by the Global Footprint Network. The assessment resulted in an Ecological Footprint of 4.24 gha/cap. Due to the available Biocapacity of 1.27 gha/cap the assessment concluded an Ecological Deficit of -2.97 gha/cap. The results suggest that the Ecological Footprint of an average Vaasa citizen is more sustainable than the Ecological Footprint of an average Finnish person. Finally, limitations of the methodology are identified, and improvements are suggested with more consistent data sources for future application in UEF calculations in Finland.\n
\n\n\n
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\n \n\n \n \n \n \n \n \n A new Urban Metabolism approach : Combining satellite data and urban metabolism assessment for promoting sustainable urban development.\n \n \n \n \n\n\n \n Nousiainen, K.\n\n\n \n\n\n\n Master Thesis.. March 2021.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{nousiainen_new_2021,\n\ttitle = {A new {Urban} {Metabolism} approach : {Combining} satellite data and urban metabolism assessment for promoting sustainable urban development.},\n\tcopyright = {CC BY-NC 4.0},\n\tshorttitle = {A new {Urban} {Metabolism} approach},\n\turl = {https://osuva.uwasa.fi/handle/10024/12334},\n\tabstract = {This master’s thesis provides a new approach to urban metabolism, i.e., energy and material flow assessment. Previous urban metabolism assessment researchers have pointed out a lack in data availability, so this research aims to provide new possibilities related to satellite data utilisation in urban metabolism assessment.  \n \nCurrently the environment faces serious issues due to the socio-economic changes of growing cities. Cities today use more energy and materials than our planet can re-create to maintain urban living and living standards. To avoid negative impacts on the environment and to minimise impact on the surrounding area such as resource exhaustion and environmental issues cities need to focus on sustainable development. Cities play a key role in decreasing the use of resources, and for this reason urban decision makers should take a more central role in developing the sustainability of urban areas. Urban metabolism assessment focuses on a city’s energy and material flows, and monitors simultaneously cities’ sustainability. Cities’ material and non-material flows occur from different socio-economic and technological processes within the city. The results of the assessment will help increase the sustainability, resource efficiency, and self-sufficiency of cities.  \n \nThis research scrutinises urban metabolism assessment from different perspectives, such as different research methods and the use of data through a literature review. This research focuses on how urban metabolism assessment has been used to promote sustainable urban development and how urban policies should support new urban metabolism approaches.  In addition, during the research process a focus group discussion was organised, which gathered an extensive group of experts to discuss the research theme. The discussion reached guidelines and policies for future research on urban metabolism assessment, such as combining data from different sources and promoting the use of satellite data. Urban policy makers need more science-based data about the urban ecosystem to harmonise sustainable development goals and local-level actions. Obtaining of the required data is currently challenging since the data needs to be collected from various fields. Satellite data, on the other hand, provides a wide range of information on the urban ecosystem, including land use, environment and sustainability. However, the wider use of satellite data in urban research requires promotion of its use and collaboration between researchers and policymakers, in order to provide tools for cities by which to increase their resource efficiency and sustainability. Current urban policies have failed to reduce resource use, whilst urban metabolism assessment appears to be an effective approach for identifying challenges related to urban energy and material flows. On the other hand, research that focuses on urban metabolism assessment is not yet a widely used approach in sustainable urban research.},\n\tlanguage = {eng},\n\turldate = {2021-11-29},\n\tjournal = {Master Thesis.},\n\tauthor = {Nousiainen, Katriina},\n\tmonth = mar,\n\tyear = {2021},\n}\n\n
\n
\n\n\n
\n This master’s thesis provides a new approach to urban metabolism, i.e., energy and material flow assessment. Previous urban metabolism assessment researchers have pointed out a lack in data availability, so this research aims to provide new possibilities related to satellite data utilisation in urban metabolism assessment. Currently the environment faces serious issues due to the socio-economic changes of growing cities. Cities today use more energy and materials than our planet can re-create to maintain urban living and living standards. To avoid negative impacts on the environment and to minimise impact on the surrounding area such as resource exhaustion and environmental issues cities need to focus on sustainable development. Cities play a key role in decreasing the use of resources, and for this reason urban decision makers should take a more central role in developing the sustainability of urban areas. Urban metabolism assessment focuses on a city’s energy and material flows, and monitors simultaneously cities’ sustainability. Cities’ material and non-material flows occur from different socio-economic and technological processes within the city. The results of the assessment will help increase the sustainability, resource efficiency, and self-sufficiency of cities. This research scrutinises urban metabolism assessment from different perspectives, such as different research methods and the use of data through a literature review. This research focuses on how urban metabolism assessment has been used to promote sustainable urban development and how urban policies should support new urban metabolism approaches. In addition, during the research process a focus group discussion was organised, which gathered an extensive group of experts to discuss the research theme. The discussion reached guidelines and policies for future research on urban metabolism assessment, such as combining data from different sources and promoting the use of satellite data. Urban policy makers need more science-based data about the urban ecosystem to harmonise sustainable development goals and local-level actions. Obtaining of the required data is currently challenging since the data needs to be collected from various fields. Satellite data, on the other hand, provides a wide range of information on the urban ecosystem, including land use, environment and sustainability. However, the wider use of satellite data in urban research requires promotion of its use and collaboration between researchers and policymakers, in order to provide tools for cities by which to increase their resource efficiency and sustainability. Current urban policies have failed to reduce resource use, whilst urban metabolism assessment appears to be an effective approach for identifying challenges related to urban energy and material flows. On the other hand, research that focuses on urban metabolism assessment is not yet a widely used approach in sustainable urban research.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Business model design in the case of complex innovations: a conceptual model.\n \n \n \n \n\n\n \n Nair, S.; and Blomquist, T.\n\n\n \n\n\n\n Technology Analysis & Strategic Management, 33(2): 176–187. February 2021.\n \n\n\n\n
\n\n\n\n \n \n \"BusinessPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{nair_business_2021,\n\ttitle = {Business model design in the case of complex innovations: a conceptual model},\n\tvolume = {33},\n\tissn = {0953-7325},\n\tshorttitle = {Business model design in the case of complex innovations},\n\turl = {https://doi.org/10.1080/09537325.2020.1805103},\n\tdoi = {10.1080/09537325.2020.1805103},\n\tabstract = {Current literature presents the antecedents of business model design as a given managerial choice. In complex and uncertain environments, there might not be enough information for the managers to make choices as the options for creating and capturing value have to coevolve with emerging innovations. We argue for how business model design and its antecedents differ and develop a process model that shows how and when a firm can generate business model designs in complex innovation. Through the principles of design under complexity, our model develops a non-predictive approach that connects emerging complex-innovations to the antecedents of their business models, whereby a focal firm engages in the collaborative generation of business model design alternatives. Thereby we extend the understanding of the business model design and its antecedents under complex and uncertain environments.},\n\tnumber = {2},\n\turldate = {2021-11-24},\n\tjournal = {Technology Analysis \\& Strategic Management},\n\tauthor = {Nair, Sujith and Blomquist, Tomas},\n\tmonth = feb,\n\tyear = {2021},\n\tkeywords = {Business model, complex-innovations, complexity, design in complexity},\n\tpages = {176--187},\n}\n
\n
\n\n\n
\n Current literature presents the antecedents of business model design as a given managerial choice. In complex and uncertain environments, there might not be enough information for the managers to make choices as the options for creating and capturing value have to coevolve with emerging innovations. We argue for how business model design and its antecedents differ and develop a process model that shows how and when a firm can generate business model designs in complex innovation. Through the principles of design under complexity, our model develops a non-predictive approach that connects emerging complex-innovations to the antecedents of their business models, whereby a focal firm engages in the collaborative generation of business model design alternatives. Thereby we extend the understanding of the business model design and its antecedents under complex and uncertain environments.\n
\n\n\n
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\n  \n 2020\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n A case study in sustainabble urban planning and remote sensing.\n \n \n \n\n\n \n Kinnunen, A.; Girgibo, N.; Alabi, R.; Selvan, K.; and Siemuri, A.\n\n\n \n\n\n\n In Finnish Satellite Workshop & Remote Sensing Days 2020. Poster presentation., January 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{kinnunen_case_2020,\n\taddress = {Finnish Satellite Workshop \\& Remote Sensing Days 2020. Poster presentation.},\n\ttitle = {A case study in sustainabble urban planning and remote sensing.},\n\tauthor = {Kinnunen, Antti and Girgibo, Nebiyu and Alabi, Rasheed and Selvan, Kannan and Siemuri, Akpo},\n\tmonth = jan,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n KvarkenSpaceEco & Kvarken Ground Station Implementation.\n \n \n \n\n\n \n Selvan, K.; Kinnunen, A.; Välisuo, P.; and Kuusniemi, H.\n\n\n \n\n\n\n In Finnish Satellite Workshop & Remote Sensing Days 2020. Poster presentation., January 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{selvan_kvarkenspaceeco_2020,\n\taddress = {Finnish Satellite Workshop \\& Remote Sensing Days 2020. Poster presentation.},\n\ttitle = {{KvarkenSpaceEco} \\& {Kvarken} {Ground} {Station} {Implementation}.},\n\tauthor = {Selvan, Kannan and Kinnunen, Antti and Välisuo, Petri and Kuusniemi, Heidi},\n\tmonth = jan,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Environmental damage assessment based on satellite imagery using machine learning.\n \n \n \n \n\n\n \n Zelioli, L.\n\n\n \n\n\n\n In Master Thesis, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"EnvironmentalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{zelioli_environmental_2020,\n\ttitle = {Environmental damage assessment based on satellite imagery using machine learning.},\n\tcopyright = {Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.},\n\turl = {https://www.doria.fi/handle/10024/177009},\n\tabstract = {The aim of this thesis is to provide a source of information about damage assessment in forestry using deep learning. A large source of environmental information is provided by satellites imagery. Orbital devices are equipped with sensors that read the frequency variations\nin the terrestrial electromagnetic field. The information obtained by these devices is composed by collections of dots. Machine learning methodologies, however, have the ability to transform raw data into human-understandable output.\n\nCloud and blur represent artefacts that need to be tackled to obtain high-quality imagery. For instance, a deep learning neural network, a Generative Adversarial Neural Network, can extrapolate the cloud compound from the image. Moreover, resampling techniques are used to improve their resolution. In this way, it is possible to correct the overall quality of satellite data.\n\nThe Finnish Kvarken Region, situated in the province of Vaasa, comprises a delicate forestry zone. Climate changes and the rise of temperature are influencing the forest quality negatively. Moreover, the public company in charge of the operational management needs new tools in order to enhance the environment condition.\n\nPlenty of satellite data analysis frameworks are available for the consumer. In particular, SNAP, QGIS and ArcGIS offer capabilities to analyze environmental damage. Moreover, Google Earth Engine uses powerful programming languages such as Python to elaborate information from the Kvarken Region. It is also possible to study the historic forestry change from the past years until today. Unsupervised and supervised machine learning models are used to underline the difference between techniques. Deforested areas in the\nKvarken Region are mapped using state-of-the-art deep learning architectures for image segmentation. The implementation is done using Python programming language and open-source libraries such as TensorFlow and Keras.},\n\tlanguage = {en},\n\turldate = {2021-11-29},\n\tbooktitle = {Master {Thesis}},\n\tauthor = {Zelioli, Luca},\n\tyear = {2020},\n}\n\n
\n
\n\n\n
\n The aim of this thesis is to provide a source of information about damage assessment in forestry using deep learning. A large source of environmental information is provided by satellites imagery. Orbital devices are equipped with sensors that read the frequency variations in the terrestrial electromagnetic field. The information obtained by these devices is composed by collections of dots. Machine learning methodologies, however, have the ability to transform raw data into human-understandable output. Cloud and blur represent artefacts that need to be tackled to obtain high-quality imagery. For instance, a deep learning neural network, a Generative Adversarial Neural Network, can extrapolate the cloud compound from the image. Moreover, resampling techniques are used to improve their resolution. In this way, it is possible to correct the overall quality of satellite data. The Finnish Kvarken Region, situated in the province of Vaasa, comprises a delicate forestry zone. Climate changes and the rise of temperature are influencing the forest quality negatively. Moreover, the public company in charge of the operational management needs new tools in order to enhance the environment condition. Plenty of satellite data analysis frameworks are available for the consumer. In particular, SNAP, QGIS and ArcGIS offer capabilities to analyze environmental damage. Moreover, Google Earth Engine uses powerful programming languages such as Python to elaborate information from the Kvarken Region. It is also possible to study the historic forestry change from the past years until today. Unsupervised and supervised machine learning models are used to underline the difference between techniques. Deforested areas in the Kvarken Region are mapped using state-of-the-art deep learning architectures for image segmentation. The implementation is done using Python programming language and open-source libraries such as TensorFlow and Keras.\n
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\n  \n 2019\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Ground Station Design for LEO's: Implementation for KvarkenSat.\n \n \n \n \n\n\n \n Selvan, K.\n\n\n \n\n\n\n Master Thesis. December 2019.\n \n\n\n\n
\n\n\n\n \n \n \"GroundPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{selvan_ground_2019,\n\ttitle = {Ground {Station} {Design} for {LEO}'s: {Implementation} for {KvarkenSat}.},\n\tcopyright = {CC BY 4.0},\n\tshorttitle = {Ground {Station} {Design} for {LEO}'s},\n\turl = {https://osuva.uwasa.fi/handle/10024/10171},\n\tabstract = {Exploration of space and the earth over the decades has led to remarkable innovations and developments in the Space industry. The space industry is transitioning from the Old Space era to New Space bringing in tremendous opportunities to develop an infinite number of applications using satellite data. Satellite data provide valuable information that helps businesses, organizations, science, government, people, and the environment in numerous ways. In space missions, apart from the satellite, a ground segment station is an essential element to receive the satellite data. Old Space players used highly expensive sophisticated ground segment stations for receiving the satellite data. Due to the advancement in technology, New Space players such as private companies, organizations, universities, and individuals have built ground stations based on the costs and mission purpose. In this thesis, a low-cost simple ground station is implemented that is capable of receiving telemetry data and payload data from different satellites to serve the forthcoming KvarkenSat small satellite mission. Apart from the ground station received satellite data, through the utilization of open-source satellite data from different providers, value-added information and satellite products that help in different applications were additionally assessed in this work. The simple nature of the ground station implemented in this thesis helps any individual to understand the concepts of satellite communication and showcases the data reception process. The ground station will help in further research on satellite communication and inspire mainly students and researchers to contribute to space technology development and utilization. The contribution to space technologies will offer solutions to strengthen the sustainability of our society and ultimately serve for the betterment of the earth.},\n\tlanguage = {eng},\n\turldate = {2021-11-29},\n\tjournal = {Master Thesis},\n\tauthor = {Selvan, Kannan},\n\tmonth = dec,\n\tyear = {2019},\n}\n\n
\n
\n\n\n
\n Exploration of space and the earth over the decades has led to remarkable innovations and developments in the Space industry. The space industry is transitioning from the Old Space era to New Space bringing in tremendous opportunities to develop an infinite number of applications using satellite data. Satellite data provide valuable information that helps businesses, organizations, science, government, people, and the environment in numerous ways. In space missions, apart from the satellite, a ground segment station is an essential element to receive the satellite data. Old Space players used highly expensive sophisticated ground segment stations for receiving the satellite data. Due to the advancement in technology, New Space players such as private companies, organizations, universities, and individuals have built ground stations based on the costs and mission purpose. In this thesis, a low-cost simple ground station is implemented that is capable of receiving telemetry data and payload data from different satellites to serve the forthcoming KvarkenSat small satellite mission. Apart from the ground station received satellite data, through the utilization of open-source satellite data from different providers, value-added information and satellite products that help in different applications were additionally assessed in this work. The simple nature of the ground station implemented in this thesis helps any individual to understand the concepts of satellite communication and showcases the data reception process. The ground station will help in further research on satellite communication and inspire mainly students and researchers to contribute to space technology development and utilization. The contribution to space technologies will offer solutions to strengthen the sustainability of our society and ultimately serve for the betterment of the earth.\n
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\n \n\n \n \n \n \n \n The Finnish-Swedish collaborative Kvarken Space Center and its mission KvarkenSat. Poster presentation. Helsinki EU Space Week.\n \n \n \n\n\n \n Kuusniemi, H.; Rutledge, K.; Kinnunen, A; Selvan, K.; Välisuo, P.; Boutellier, J.; Ranta, M.; Alagirisamy, R.; Haveri, J.; Praks, J.; Slavinskis, A.; Norberg, O.; Persson, O.; Nieto, C.; Golemis, A.; and Iancu, B.\n\n\n \n\n\n\n In Poster Presentation, Helsinki EU Space Week, December 2019. \n \n\n\n\n
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@inproceedings{kuusniemi_finnish-swedish_2019,\n\taddress = {Helsinki EU Space Week},\n\ttitle = {The {Finnish}-{Swedish} collaborative {Kvarken} {Space} {Center} and its mission {KvarkenSat}. {Poster} presentation. {Helsinki} {EU} {Space} {Week}.},\n\tbooktitle = {Poster {Presentation}},\n\tauthor = {Kuusniemi, H. and Rutledge, K. and Kinnunen, A and Selvan, K. and Välisuo, P. and Boutellier, J. and Ranta, M. and Alagirisamy, R.K. and Haveri, J. and Praks, J. and Slavinskis, A. and Norberg, O. and Persson, O. and Nieto, C. and Golemis, A. and Iancu, B.},\n\tmonth = dec,\n\tyear = {2019},\n}\n\n
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