100 Scientific Results in Reboot!

Up to date, research organizations in Reboot have published 80+ peer-reviewed scientific publications, of which 20 are journal articles. In addition, two PhD and 20 other theses have been completed.

Reboot IoT Factory is an innovation ecosystem that aims for a high-risk transformation of manufacturing through digitalization. This kind of transformation cannot be done without cutting-edge scientific excellence related to new technologies. Four research organizations participating in Reboot have both introduced new technologies to factories, as well as performed high-level basic research on technology topics relevant to manufacturing. In this process, research organizations have experienced extremely useful cross-pollination within the manufacturing domain, both across organizations as well as across teams and faculties within an individual organization.

Data-driven science

One of the key strategic assets for factories in the future is data. In this sense, Reboot has conducted many PoC experiments and research activities related to new approaches in data generation and utilization. Besides IoT sensors, data as a strategic asset also means networking solutions for data transfer, suitable platforms for storage and processing like public and private clouds, automatic processing of data in Robotic Process Automation (RPA), as well as value creation from data through various machine learning and more generally artificial intelligence (AI) methods. These approaches combined represent new research-to-business opportunities for factories in terms of data related to supply chain, production, and products themselves. Besides an enabler for proof of concept work, data also enables the factories to share concrete experiences from business point of view, and researchers to build novel solutions for future manufacturing and publications for academic dissertation.

Benefits of openness

Amount of scientific excellence highlights the tight and fruitful collaboration between all project stakeholders (factories, researchers, SMEs). As a recent example, an author group consisting of researchers from University of Oulu, VTT and Åbo Akademi University, as well as factory representatives from Nokia and Ponsse, published a journal article discussing how the Reboot innovation model reflects the more general Triple Helix model in an Industry 4.0 context. In addition, Reboot authors have co-authored several visionary white papers, two PhD theses, and 20+ other theses. Our impact also reaches wider: Six international workshops related to manufacturing digitalization have been organized, highlighting a continuous discussion link to wider academic circles. Several theses ideated in Reboot have been done in collaboration with universities outside the consortium. We even supervise a PhD student funded by an SME, on a Reboot topic, and using industrial data! This is a sign of the efficiency of our open ecosystem – we have a lot of ideas and innovation potential to share.

Even as Reboot as a Business Finland-funded project is coming to an end, there are currently multiple research activities on-going. Around 20 academic publications and eleven (!) PhD theses are under preparation. This illustrates how the collaboration model and the momentum in Reboot continue to ambitiously transform manufacturing through deep scientific excellence!

Text:
Marko Jurmu, VTT
Pekka Siirtola, University of Oulu

Full list of Reboot publications

Journals and conferences

  1. Alavesa, P., & Xu, Y. (2020). Unblurring the boundary between daily life and gameplay in location-based mobile games, visual online ethnography on Pokémon GO. Behaviour & Information Technology, 1-13. http://jultika.oulu.fi/Record/nbnfi-fe202104099825
  2. Alavesa, I. Laitalainen, M. Immonen (2019): The Context Defined Aspects of Gamification for Factory Floor. IEEE 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), Vienna, Austria, pp. 1-2, doi:10.1109/VS-Games.2019.8864527
  3. Alam MS, Udayanto Dwi Atmojo, Jan Olaf Blech, Jose Luis Martinez Lastra (2020) A REST and HTTP-based Service Architecture for Industrial Facilities, 3RD IEEE International Conference on Industrial Cyber-Physical Systems, IEEE, 2020. DOI: 10.1109/ICPS48405.2020.9274792
  4. Atmojo UD, Jan Olaf Blech, Valeriy Vyatkin (2020) A Plug and Produce-inspired Approach in Distributed Control Architecture: A Flexible Assembly Line and Product Centric Control Example, International Conference on Industrial Technology, IEEE, 2020. DOI: 10.1109/ICIT45562.2020.9067278
  5. Azangoo M, Blech JO, Atmojo UD (2020) Towards Formal Monitoring of Workpieces in Agile Manufacturing, International Conference on Industrial Technology, IEEE, 2020, DOI: 10.1109/ICIT45562.2020.9067188
  6. Bejarano, R. Pääkkönen, J.O. Blech, I. Peake, P. Herrmann, V. Vyatkin, “Assessing Long Distance Communication Alternatives for the Remote Control of AGVs”, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020, pp. 69-76, doi: 10.1109/ETFA46521.2020.9211954.
  7. Björkqvist, J., Manngård, M. & Lund, W. (2020) Using Digital Twin Technology to Ensure Data Quality in Transport Systems, Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility. Helsinki, (Traficom Research Reports; no. 7). https://research.abo.fi/en/publications/using-digital-twin-technology-to-ensure-data-quality-in-transport
  8. D. Burlian, P. Sharmila, P. Alavesa, and L. Arhippainen (2019): Revitalizing Viena Karelian dialect and culture with gamification, presented at the GamiFIN Conference, 2019, Finland, Levi, pp. 277–288. http://jultika.oulu.fi/Record/nbnfi-fe2019072323172
  9. Chowdhury MF, Lovén L, Cortés M, Halkola E, Seppänen T, Pirttikangas S (2020) Emotional well-being in smart environments: An experimental design with EEG, Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers https://dl.acm.org/doi/10.1145/3410530.3414437
  10. Florea, P. Alavesa, L. Arhippainen, M. Pouke, W. Huang, L. Haukipuro, S. Väinämö, A. Niemelä, M. Cortés Orduña, M. Pakanen, T. Ojala (2019): Extending a User Involvement Tool with Virtual and Augmented Reality. Proc. 26th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR ’19) Osaka, Japan, pp. 925-926, doi: 10.1109/VR.2019.8798299
  11. Gilman E., S Tamminen, R Jasmin, E Ristimella, E Peltonen, M Harju, L Lovén, J Riekki, S Pirttikangas (2020) Internet of Things for Smart Spaces: a University Campus Case Study, Sensors (Basel). 2020 Jul; 20(13): 3716. https://www.mdpi.com/1424-8220/20/13/3716
  12. Halkola, L. Lovén, M. Cortes, E. Peltonen, E. Gilman and S. Pirttikangas (2019): Towards measuring well-being in smart environments, Adj. Proc. 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 1166-1169, doi:10.1145/3341162.3344839
  13. Immonen, P. Alavesa, V. Mylonopoulou (2019): Design Challenges for Social Interactions at Factory Floor. IEEE 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), Vienna, Austria, pp. 1-2, doi: 10.1109/VS-Games.2019.8864601
  14. Kawaguchi, N., Nishio, N., Roggen, D., Inoue, S., Pirttikangas, S., Van Laerhoven, K. 2019. Human Activity Sensing, Corpus and Applications, Springer https://link.springer.com/content/pdf/10.1007/978-3-030-13001-5.pdf
  15. Kauppila, O., Välikangas, K. & Majava, J. (2020) Improving supply chain transparency between a manufacturer and suppliers: A triadic case study. Management and Production Engineering Review. 11(3), 84-91. http://jultika.oulu.fi/Record/nbnfi-fe2020120399288
  16. Kauppila, O., Jounila, H., & Reiman, A. (2020). Networking for sustainable supplier development: evidence from a Finnish industrial cluster. International Journal of Occupational and Environmental Safety, 4(2), 22-36. http://jultika.oulu.fi/Record/nbnfi-fe2020120399283
  17. Kajola P., J. O. Blech, U. D . Atmojo, V. Vyatkin (2021) Dynamic Adapter Connections for IEC 61499, IEEE International Conference on Industrial Technology 2021, Valencia, Spain. (Presented, In Press)
  18. Kauppila O., K. Välikangas, J. Majava (2019): Improving transparency in a supply chain: a case study of manufacturer-supplier collaboration, Proc. 26th International Annual European Operations Management Conference, EurOMA 2019, 17th – 19th June 2019, Helsinki, Finland, http://jultika.oulu.fi/Record/nbnfi-fe2020120399288
  19. Kellokumpu V., J. Sumen & H. Seppänen (2019): Concepts for component quality control using NIR, to Optics & Photonics Days 2019 , https://www.photonics.fi/wp-content/uploads/2019/12/OPD2019_A5_k%C3%A4siohjelma_FINAL.pdf
  20. Ketonen V., J.O. Blech (2021): Anomaly Detection for Injection Molding Using Probabilistic Deep Learning, IEEE International Conference on Industrial Cyber Physical Systems 2021 (IEEE ICPS 2021). Victoria, Canada (Presented, In Press)
  21. Khan I, Ahmad MO, Majava J (2021): Industry 4.0 and sustainable development: A systematic mapping of triple bottom line, Circular Economy and Sustainable Business Models perspectives, Journal of Cleaner Production, Volume 297, 2021, 126655, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2021.126655
  22. Khan, I., Kauppila, O., Majava, J., Jurmu, M., Annanperä, E., Jurvansuu, M. & Pirttikangas, S. (in press) Industry 4.0 in Finland: Towards Twin Transition”. Industry 4.0 in SMEs Across the Globe: Drivers, Barriers, and Opportunities. CRC Press, Taylor & Francis Group. https://arxiv.org/abs/2103.16276
  23. Khan, I. S., & Majava, J. (2019). Stakeholder interdependencies and their role in sustainable business model innovation. ISPIM conference. https://arxiv.org/abs/2103.16281
  24. Khan, I., Jurmu, M., Jurvansuu, M., Pirttikangas, S., Lilius, J., Iancu, B., Kauppila, O., Koho, M., Marjakangas, E. & Majava, J. (2020) Collaborative innovation, collaborative capabilities and value co-creation in an industry 4.0 context: An empirical evidence, The Twenty-first International Working Seminar on Production Economics, Innsbruck, Austria, February 24-28, 2020, https://www.researchgate.net/publication/350512060_Collaborative_Innovation_Collaborative_Capabilities_and_Value_Co-creation_in_an_Industry_40_Context_An_Empirical_Evidence
  25. Khan, I., Kauppila, O., Iancu, B., Jurmu, M., Jurvansuu, M., Pirttikangas, S., Lilius, J., Koho, M., Marjakangas, E. & Majava, J. (2021) Triple Helix Collaborative Innovation and Value Co-creation in an Industry 4.0 Context, International Journal of Innovation and Learning, accepted, https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijil
  26. Kivelä O., P. Alavesa, A. Visuri, and T. Ojala (2019): Study on the motivational and physical effects of two VR exergames, IEEE 11th International Conference on Virtual Worlds and Games, http://jultika.oulu.fi/files/nbnfi-fe2019120545769.pdf
  27. Koene I., Ville Klar, Raine Viitala (2020) IoT connected device for vibration analysis and measurement, HardwareX, Volume 7, 2020, ISSN 2468-0672, https://doi.org/10.1016/j.ohx.2020.e00109
  28. Koene I., R. Viitala, P. Kuosmanen, Vibration monitoring of a large rotor utilizing internet of things based on-shaft MEMS accelerometer with inverse encoder, 12th International Conference on Vibrations in Rotating Machinery, 2020, ISBN 978-0-367-67742-8, https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003132639-40/vibration-monitoring-large-rotor-utilizing-internet-things-based-shaft-mems-accelerometer-inverse-encoder-koene-viitala-kuosmanen
  29. Kostakos, P., Alavesa, P., Korkiakoski, M., Marques, M. M., Lobo, V., & Duarte, F. (2020). Wired to Exit: Exploring the Effects of Wayfinding Affordances in Underground Facilities Using Virtual Reality. Simulation & Gaming, 1046878120944567. https://journals.sagepub.com/doi/10.1177/1046878120944567
  30. Kwon, Young D.; Shatilov, Kirill A.; Lee, Lik-Hang; Kumyol, Sergan; Lam, Kit-Yung; Yau, Yui-Pan; Hui, Pan (2020) MyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR. – 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 23-27 March 2020, Austin, TX, USA. Ei sarjaa/No series. 1-4. https://doi.org/10.1109/PerComWorkshops48775.2020.9156084
  31. Lee LH, Abhiksek Kumar, Susanna Pirttikangas, Timo Ojala (2020): When Augmented Reality Meets EdgeAI: A Vision of Collective Urban Interfaces, Urban AI workshop (DIS’20), ACM, In press, https://researchportal.helsinki.fi/fi/publications/when-augmented-reality-meets-edge-ai-a-vision-of-collective-urban
  32. Lee LH, Tristan BRAUD and Pan HUI (2021) Embodied Interaction for Constrained Interfaces for Augmented Reality. Handbook of Augmented Reality. Prof. A. Y. C. Nee. – Springer international handbooks of education. Singapore.
  33. Lee, Lik Hang; Yeung, Ngo Yan; Braud, Tristan; Li, Tong; Su, Xiang; Hui, Pan (2020) Force9: Force-assisted Miniature Keyboard on Smart Wearables. – ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, virtual event Netherlands, October 202. Ei sarjaa/No series. New York. 232-241. https://doi.org/10.1145/3382507.3418827
  34. Lee, Lik Hang; Braud, Tristan; Lam,Kit Yung ; Yau,Yui Pan; Hui, Pan (2020) From seen to Unseen: Designing Keyboard-less Interfaces for text entry on constrained screen real estate of Augmented Reality Headsets. – Pervasive and mobile computing 64 (2020), 16 . https://doi.org/10.1016/j.pmcj.2020.101148
  35. Lee, Lik-Hang (2020) Invited Talk: Emerging Role of Digital Assistant in Augmented Reality Driven Human-City Interaction. 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). http://dx.doi.org/10.1109/PerComWorkshops48775.2020.9156243
  36. Lee, Lik-Hang; Zhu, Yiming; Yau, Yui-Pan; Braud, Tristan; Su, Xiang; Hui, Pan (2020) One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets. – 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom), 23-27 March 2020, Austin, TX, USA. Proceedings of the IEEE International Conference on Pervasive Computing and Communications. 1-10. https://doi.org/10.1109/PerCom45495.2020.9127378
  37. Lee, Lik-Hang; Lam, Kit-Yung; Li, Tong; Braud, Tristan; Su, Xiang; Hui, Pan (2019) Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile Headsets. – Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies 3 (3), 94 . https://doi.org/10.1145/3351252
  38. Lee, Lik-Hang; Braud, Tristan; Hassani Bijarbooneh, Farshid; Hui, Pan (2020) UbiPoint: towards non-intrusive mid-air interaction for hardware constrained smart glasses. – MMSys ’20: Proceedings of the 11th ACM Multimedia Systems Conference. 190-201. https://doi.org/10.1145/3339825.3391870
  39. Mehmood H., Panos Kostakos, Marta Cortes, Theodoros Anagnostopoulos, Susanna Pirttikangas, Ekaterina Gilman (2021): Concept Drift Adaptation Techniques in Distributed Environment for Real-World Data Streams, Smart Cities, 4(1), Multidisciplinary Digital Publishing Institute, 349-371, https://www.mdpi.com/2624-6511/4/1/21
  40. Nguyen TH, Lauri Lovén, Juha Partala and Susanna Pirttikangas (2021). Blockchain: Foundations and Role in 6G, Book Title: 6G Mobile Wireless Networks, Springer, in press
  41. Nguyen T., N. Tran, L. Loven, J. Partala, M. Kechadi and S. Pirttikangas (2020): Privacy-Aware Blockchain Innovation for 6G: Challenges and Opportunities, 2020 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, 2020, pp. 1-5, doi: 10.1109/6GSUMMIT49458.2020.9083832
  42. Lóven L., M. Pakanen, E. Gilman, S. Pirttikangas (2018): Wellbeing in Smart Environments: Definition, Measurement, Prediction and Control. Adj. ACM. Proc. 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New York, NY, USA, pp. 693-697, doi: 10.1145/3267305.3267692
  43. Lovén L., Ella Peltonen, Erkki Harjula, and Susanna Pirttikangas (2021). Weathering the Reallocation Storm: Large-Scale Analysis of Edge Server Workload. Accepted for publication in 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, https://www.researchgate.net/publication/350886200_Weathering_the_Reallocation_Storm_Large-Scale_Analysis_of_Edge_Server_Workload
  44. Lovén L., Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas (2021): EDISON: An Edge-native Method and Architecture for Distributed Interpolation, Sensors 2021, 21, 2279. https://doi.org/10.3390/s21072279
  45. Manngård, M., Lund, W., Keski-Rahkonen, J., Nänimäinen, J., Saarela, V-P., Björkqvist, J. & Toivonen, H., (2019) Estimation of propeller torque in azimuth thrusters In: IFAC-PapersOnLine. 52, 21, p. 140–145, https://www.sciencedirect.com/science/article/pii/S2405896319321822
  46. Manngård, M. & Toivonen, H. T. (2019) Identification of low-order models using rational orthonormal basis functions, 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, p. 1728-1733 9030161, https://ieeexplore.ieee.org/abstract/document/9030161/
  47. Manngård, M., Lund, W., Björkqvist, J., Toivonen, H., Sin, G. (ed.), Bagterp Jørgensen, J. (ed.) & Kjøbsted Huusom, J. (ed.), (2019) Virtual sensing in marine systems. https://research.abo.fi/fi/publications/virtual-sensing-in-marine-systems
  48. Manngård M., W. Lund, J. Keski-Rahkonen, J. Nänimäinen, V-P. Saarela: Estimation of propeller torque in azimuth thrusters, Proc. 12th Conf. Control Applications in Marine Systems, Robotics and Vehicles (IFAC CAMS 2019) ([http://cams-wroco.org/]), https://www.sciencedirect.com/science/article/pii/S2405896319321822
  49. Murao K., Y. Enokibori, H. Gjoreski, P. Lago, T. Okita, P. Siirtola, K. Hiroi, PM. Scholl, M. Ciliberto (2019): 7th Int. Workshop Human Activity Sensing Corpus and Applications (HASCA 2019), Adj. Proc. 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 671-673, doi: 10.1145/3341162.3347765
  50. Murao Y., H. Enokibori, H. Gjoreski, P. Lago, T. Okita, P. Siirtola, K. Hiroi, PM. Scholl (2018): 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA), Proc. 2018 ACM Int Joint Conf and 2018 Int Symp Pervasive and Ubiquitous Computing and Wearable Computers, ACM, New York, NY, USA, pp. 1392-1395, doi:10.1145/3267305.3274145
  51. Murao, K., Enokibori, Y., Gjoreski, H., Lago, P., Okita, T., Siirtola, P., … & Ciliberto, M. (2020). 8th international workshop on human activity sensing corpus and applications (HASCA). In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 228-231). https://dl.acm.org/doi/abs/10.1145/3410530.3414612
  52. Nikula, R.-P., Ruusunen, M., Keski-Rahkonen, J., Saarinen, L., Fagerholm, F. (2021). Probabilistic condition monitoring of azimuth thrusters based on acceleration measurements. Machines, 9(2), article number 39. https://doi.org/10.3390/machines9020039. *
  53. Nikula, R.-P., M. Paavola, M. Ruusunen and J. Keski-Rahkonen (2019): Towards online adaptation of digital twins, Automaatiopäivät23, Oulu 15.-16.5.2019, https://juuli.fi/Record/02094072YJ Best presentation award
  54. Nikula, R.-P., Paavola, M., Ruusunen, M., Keski-Rahkonen, J. (2020). Towards online adaptation of digital twins. Open Engineering, 10(1). https://doi.org/10.1515/eng-2020-0088.
  55. Okoshi T., J. Nakazawa, J. Ko, F. Kawsar, S. Pirttikangas (2019): 2nd Int. Workshop Computing for Well-Being, Adj. Proc. 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 1146-1149, doi: 10.1145/3341162.3347073
  56. Okoshi T., J. Ko, S. Pirttikangas, J. Nakazawa, F. Kawsar (2018): WellComp 2018: First International Workshop on Computing for Well-Being, Proc. 2018 ACM Int Joint Conf and 2018 Int Symp Pervasive and Ubiquitous Computing and Wearable Computers, ACM, New York, NY, USA, pp. 684-687, doi: 10.1145/3267305.3274136
  57. Okoshi, T., Nakazawa, J., Ko, J., Kawsar, F., & Pirttikangas, S. (2020). WellComp 2020: third international workshop on computing for well-being. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 671-674). https://dl.acm.org/doi/abs/10.1145/3410530.3414614
  58. Pakanen M, P. Alavesa, L. Arhippainen, T. Ojala (2019): Stepping Out of the Classroom – Anticipated User Experiences of Web-based Mirror World Like 3D Virtual Campus, International Journal of Virtual and Personal Learning Environments, 10(1):1-23, DOI: 10.4018/IJVPLE.2020010101v
  59. Pakanen M., L. Lóven, P. Alavesa, E. Gilman, J. Terken, B. Eggen, S. Pirttikangas (2018): Design Challenges of Wellbeing Supporting Smart Environment in Collaborative Use Situations. – Adj. ACM. Proc. 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. New York, NY, USA. pp. 688-692, doi: 10.1145/3267305.3267691
  60. Partala J, Tri Hong Nguyen, Susanna Pirttikangas (2020): Non-Interactive Zero-Knowledge for Blockchain: A Survey, IEEE Access 8, 227945-227961, https://ieeexplore.ieee.org/abstract/document/9300214
  61. Pakanen, M., Alavesa, P., Arhippainen, L., & Ojala, T. (2020). Stepping out of the classroom: Anticipated user experiences of web-based mirror world like virtual campus. International Journal of Virtual and Personal Learning Environments (IJVPLE), 10(1), 1-23.
  62. Pandya A., Panos Kostakos, Hassan Mehmood, Marta Cortes, Ekaterina Gilman, Mourad Oussalah, Susanna Pirttikangas (2019): Privacy preserving sentiment analysis on multiple edge data streams with Apache NiFi. 2019 European Intelligence and Security Informatics Conference (EISIC), pp.130-133. https://ieeexplore.ieee.org/abstract/document/9108851
  63. Peltokorpi J., Isojärvi L., Häkkinen K.,  Niemi E. (2021): QR code-based material flow monitoring in a subcontractor manufacturer network, Procedia Manufacturing, Volume 55, 2021, Pages 110-115, ISSN 2351-9789.
    https://doi.org/10.1016/j.promfg.2021.10.016
  64. Pouke M., J. Ylipulli, S. Rantala, P. Alavesa, T. Alatalo, and T. Ojala (2019): A Qualitative Study on the Effects of Real-World Stimuli and Place Familiarity on Presence, presented at the 2019 IEEE 5th Workshop on Everyday Virtual Reality (WEVR), 1–6, doi: 10.1109/WEVR.2019.8809590
  65. Räikkönen, M., Keski-Rahkonen, J., Kortelainen, H., Tikkanen, M., Valkokari, P., Vehanen, A., & Pirttikangas, S. (2020). Towards a Framework for Assessing the Customer Value of Digital Solutions. In eProceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference [4455], Research publishing services. https://www.rpsonline.com.sg/proceedings/esrel2020/html/4455.xml
  66. Rönkkö, P., Isopoussu, A., Majava, J. & Kauppila, O. (2021) “An ability to survive disruptions—Findings from three Finnish manufacturing companies’ supply challenges during the COVID-19 pandemic”. Managing Global Transitions, 19(2). http://www.fm-kp.si/zalozba/ISSN/1581-6311.htm
  67. Sattari A., Rouhollah Ehsani, Teemu Leppänen, Susanna Pirttikangas and Jukka Riekki (2020): Edge-supported Microservice-based Resource Discovery for Mist Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing 2020, Proc. 18th IEEE International Conference on Pervasive Intelligence and Computing 2020, https://ieeexplore.ieee.org/abstract/document/9251203/
  68. Sharmila P, Schroderus V, Lagerspetz E, Peltonen E (2020) Towards understanding smartphone usage and sleep with a crowdsensing approach, Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, https://dl.acm.org/doi/abs/10.1145/3410530.3414442?casa_token=pIn4MSa3q80AAAAA:E7Xz4gUTbO_yj-wgoYIgz3TI6S2j7gbPKyCwwmk014cr_xU23s9KwEevTsjCavCarm6kZBagXho0bw
  69. Shatilov, Kirill A; Chatzopoulos, Dimitris ; Lee, Lik-Hang; Hui, Pan (2021) Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey. – ACM computing surveys *
  70. Siirtola P., H. Koskimäki, J. Röning, J. (2019): Importance of user inputs while using incremental learning to personalize human activity recognition models, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), April 24-26, pp. 449–454, arXiv:1905.11775.
  71. Siirtola P., Koskimäki, and J. Röning (2018): OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets, Proc. 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, ACM, 2018, pp. 1396-1403, doi:10.1145/3267305.3267503
  72. Siirtola, P.; Röning, J. (2020) Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration. Sensors 2019, 19, 5151. https://www.mdpi.com/1424-8220/19/23/5151
  73. Siirtola, P., & Röning, J. (2020). Comparison of Regression and Classification Models for User-Independent and Personal Stress Detection. Sensors, 20(16), 4402. https://www.mdpi.com/1424-8220/20/16/4402
  74. Siirtola P., H. Koskimäki, and J. Röning. “OpenHAR: A Matlab Toolbox for Easy Access to Publicly Open Human Activity Data Sets—Introduction and Experimental Results.” Human Activity Sensing. Springer, Cham, 2019. 121-133. https://link.springer.com/chapter/10.1007/978-3-030-13001-5_9
  75. Siirtola P., E. Peltonen, H. Koskimäki, H. Mönttinen, J. Röning, S. Pirttikangas (2019): Wrist-worn wearable sensors to understand insides of the human body: Data quality and quantity, The 5th ACM Workshop on Wearable Systems and Applications (WearSys´19), in conjunction with Mobisys’19, pp. 17-21, doi: 10.1145/3325424.3329663
  76. Siirtola P. (2019): Continuous Stress Detection Using the Sensors of Commercial Smartwatch, Adj. Proc. 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 1198-1201, doi:10.1145/3341162.3344831
  77. Tiainen T., Viitala R.(2020) Effect of positional errors on the accuracy of multi-probe roundness measurement methods, Mechanical Systems and Signal Processing, Volume 144, 2020, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2020.106883 *
  78. Wolling, F., Van Laerhoven, K., Siirtola, P., & Röning, J. PulSync: The Heart Rate Variability as a Unique Fingerprint for the Alignment of Sensor Data Across Multiple Wearable Devices. https://www.eti.uni-siegen.de/ubicomp/papers/ubi_percomws21b.pdf
  79. Wong, Man Hing;LEE,Lik Hang ;Hui, Pan (2020) GANStick: US Stock Forecasting with GAN-Generated Candlesticks. – ICIS 2020 PROCEEDINGS. Ei sarjaa/No series, 1143. https://aisel.aisnet.org/icis2020/blockchain_fintech/blockchain_fintech/1/
  80. Xie Y., X. Shang, Y. Li, X. Liu, F. Zhu, G. Xiong, S. Pirttikangas, J. Zhou (2018): The 3D point clouds registration for human foot, Intelligence Science II. ICIS 2018. IFIP Advances in Information and Communication Technology, Springer, USA, pp. 282-292, doi: 10.1007/978-3-030-01313-4_30
  81. Zhou J, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma (2021): A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things, https://arxiv.org/abs/2104.10501
  82. Yau, Yui-Pan; Lee, Lik-Hang; Li, Zheng; Braud, Tristan; Ho, Yi-Hsuan; Hui, Pan (2020) How subtle can it get?: A Trimodal Study of Ring-sized Interfaces for One-handed Drone Control. – Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 4 (2), 63 . https://doi.org/10.1145/3397319

Reboot authors in white papers (4)

  1. Kuosmanen, P. & Villman, T. (eds). Annanperä, E., Jurmu, M., Kaivo-oja, J., Kettunen, P., Knudsen, M., Lauraéus, T., Majava, J. & Porras, J. (auth). From Industry X to Industry 6.0 – Antifragile Manufacturing for People, Planet, and Profit with Passion. Future Watch White Paper. https://mfg40.fi/wp-content/uploads/2021/05/Industry-X-White-Paper-3.5.2021_Final.pdf
  2. Mahmood, N.H., Böcker, S., Munari, A., Clazzer, F., Moerman, I., Mikhaylov, K., López, O.A., Park, O., Mercier, E., Bartz, H., Jüntti, R., Pragada, R.V., Ma, Y., Annanperä, E., Wietfeld, C., Andraud, M., Liva, G., Chen, Y., Garro, E., Burkhardt, F., Alves, H., Liu, C., Sadi, Y., Doré, J., Kim, E., Shin, J., Park, G.Y., Kim, S., Yoon, C., Anwar, K., & Seppänen, P. (2020). White Paper on Critical and Massive Machine Type Communication Towards 6G. ArXiv, https://arxiv.org/abs/2004.14146.
  3. Peltonen, E., Bennis, M., Capobianco, M., Debbah, M., Ding, A., Gil-Castiñeira, F., Jurmu, M., Karvonen, T., Kelanti, M., Kliks, A., Leppänen, T., Lovén, L., Mikkonen, T., Rao, A., Samarakoon, S., Seppänen, K., Sroka, P., Tarkoma, S., & Yang, T. (2020). 6G White Paper on Edge Intelligence. ArXiv, https://arxiv.org/abs/2004.14850.
  4. Pouttu, A., Burkhardt, F., Patachia, C., Mendes, L.L., Pirttikangas, S., Jou, E., Kuvaja, P., Heikkilä, M., Päivärinta, T., Isomursu, M., Thakur, A., Mäntylä, M., Watts, S., Himmanen, H., Lovén, L., & Koumaras, H. (2020). 6G White Paper on Validation and Trials for Verticals towards 2030’s1, http://jultika.oulu.fi/files/isbn9789526226811.pdf

Theses

Phd theses:

  1. Milla Immonen, Risk factors for falls and technologies for fall risk assessment in older adults. Acta Universitatis Ouluensis, D1553, Faculty of Medicine, Medical Research Center Oulu, VTT Technical Research Centre of Finland Ltd., Oulu Deaconess Institute Foundation SR, Electronic ISBNs978-952-62-2506-7, 2020, http://jultika.oulu.fi/files/isbn9789526225067.pdf
  2. Anna Rohunen, Advancing information privacy concerns evaluation in personal data intensive services. Acta Universitatis Ouluensis, A738, Faculty of Information Technology and Electrical Engineering, ISBN 978-952-62-2468-8, 2019, http://jultika.oulu.fi/files/isbn9789526224688.pdf

Other theses:

  1. Santeri Kuurila: Älykäs mobiilirobotti tuotannon logistiikkaprosessien tukena, ABB Vaasa, VY, M.Sc. thesis, https://osuva.uwasa.fi/handle/10024/10903
  2. Eetu Laukka: Comparing hand tracking and controller-based interactions for a virtual reality learning application http://jultika.oulu.fi/Record/nbnfioulu-202104177565, ABB Vaasa, OY, M.Sc. thesis done
  3. Aapo Kallio: Demand forecasting in Finnish manufacturing companies – a benchmark and a case study http://jultika.oulu.fi/Record/nbnfioulu-202005201987, Sulzer, Ponsse, Scanfil, KONGSBERG, OY, Done 5/2020
  4. Riku Nyström: Developing information transparency between sales and operations http://jultika.oulu.fi/Record/nbnfioulu-202005201986, KONGSBERG, OY.
  5. Juha Sinervä, Information system for supporting collaborative forecasting http://jultika.oulu.fi/Record/nbnfioulu-202007022720, Scanfil, OY.
  6. Ulla Annanpalo, Tuottavuuden parantamisen mahdollisuuksia hankinta- ja ostotoiminnassa automatisoinnin avulla http://jultika.oulu.fi/Record/nbnfioulu-202012163318, Scanfil, OY.
  7. Parsa Sharmila, Prediction of Big Five Personality Traits from Mobile Application Usage, http://jultika.oulu.fi/Record/nbnfioulu-202006242651, OY, (5/5)
  8. Aleksi Isopoussu: Supply chain resilience: capability factors and analysis of case companies http://jultika.oulu.fi/Record/nbnfioulu-202012163322, KONGSBERG, Scanfil, Sulzer, OY.
  9. Fatema Chowdhury: EEG based assessment of emotional wellbeing in smart environment, http://jultika.oulu.fi/Record/nbnfioulu-202011203173, OY, M.Sc. thesis, 2020
  10. Jussi Keränen: Sales & operations planning http://jultika.oulu.fi/Record/nbnfioulu-202105187867, Ponsse, Scanfil, Sulzer, OY, M.Sc. thesis.
  11. Pentti Karinkanta: Industry 4.0 Enabled Solutions for Resilient Supply Chain, KONGSBERG, Scanfil, Sulzer, OY, M.Sc. thesis.
  12. Filip Nyman: Mätning och förbättring av produktionslogistikens effektivitet i en Industry 4.0-miljö, Åbo, Master’s thesis 2021, https://www.doria.fi/bitstream/handle/10024/181005/nyman_filip.pdf?sequence=2
  13. Jussi Kallio: Senop Oy:n hyperspektrikameran tuotestrategian kehittäminen http://jultika.oulu.fi/Record/nbnfioulu-202005212026, OY, Master’s thesis 2021
  14. Kaisu Välikangas: Improving transparency in data-driven supply chain http://jultika.oulu.fi/Record/nbnfioulu-201905292228, Ponsse, HT laser, OY, M.Sc. thesis.
  15. Markus Ansamaa: Tulevaisuutta kartoittamassa – konstruktiivinen tutkimus ennusteinskriptioiden visualisoinnista http://jultika.oulu.fi/Record/nbnfioulu-201910253018 , KONGSBERG, OY, M.Sc. thesis.
  16. Ilmo Laitalainen: Pelillistäminen tuotannon työvälineenä https://osuva.uwasa.fi/handle/10024/8217 , ABB Vaasa, University of Vaasa & OY, M.Sc. thesis.
  17. Umar Saeed: Containerization of Robotic Process Automation for Data Visualization http://jultika.oulu.fi/Record/nbnfioulu-201906262671, Nokia, OY, M.Sc. thesis.
  18. Jesse Miettinen: Virtual sensor for dynamic behaviour of large flexible rotor, Aalto, Master’s thesis 2020, https://aaltodoc.aalto.fi/handle/123456789/44361
  19. V. Ketonen: Anomaly Detection for Injection Molding Machines Using Probabilistic Deep Learning, Aalto, Master’s thesis 2019, https://aaltodoc.aalto.fi/handle/123456789/102427
  20. Juho Piilola: Optimal sequencing of mixed model production line by mixed integer linear programming, Aalto, Master’s thesis 2020, https://aaltodoc.aalto.fi/handle/123456789/47111
Marko Jurmu

Reboot IoT Factory

 

Reboot IoT Factory brings together service and solution providers, industrial leaders and top research organizations to improve the competitiveness of Finnish manufacturing industry through digitalization

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