Use of wireless communication networks in digitalization of factory environments

[EN] Wireless communications are rapidly taking an important role in factory environment. The current Wi-Fi technologies struggle to meet the requirements of industrial factories, for example with regard to latency and security. The emerging 5G communication networks are the first networks expected to meet such requirements. Private networks are owned by the factories themselves. Private networks can utilize 5G technologies to tailor the networks to meet the exact demands within the factory environment and guarantee that the factories can use the whole bandwidth for their own use. This concurrently increases the data security as the data does not need to be deliveved over public networks. This paper describes the latest developments in 5G with regard to private networks and Industry 4.0, which is the name given to the digitalization, automatization and data exchange trend currently ongoing in factory environments. In this paper we describe a private cellular network we have installed inside a factory building. This network has been trialed with wireless pyrometer measurement data transmission and environmental surveillance of a measurement laboratory. This paper analyses the suitability of private networks for these use cases and discusses in general which applications would benefit the most from private wireless networks.Rautava, T.; Paavola, J.; Hallio, J.; Kalliovaara, J.; Jokela, T. (2019). Use of wireless communication networks in digitalization of factory environments. En Proceedings 5th CARPE Conference: Horizon Europe and beyond. Editorial Universitat Politècnica de València. 147-153. https://doi.org/10.4995/CARPE2019.2019.10050OCS14715

Overview of Optical Digital Measuring Challenges and Technologies in Laser Welded Components in EV Battery Module Design and Manufacturing

Ensuring the precision and repeatability of component assembly in the production of electric vehicle (EV) battery modules requires fast and accurate measuring methods. The durability of EV battery packs depends on the quality of welded connections, therefore exact positioning of the module components is critical for ensuring safety in exploitation. Laser welding is a non-contact process capable of welding dissimilar materials with high precision, for that reason it has become the preferred joining method in battery production. In high volume manufacturing, one of the main production challenges is reducing the time required for assessment of dimensional and geometrical accuracy prior to joining. This paper reviews the challenges of EV battery design and manufacturing and discusses commercially available scanner-based measurement systems suitable for fabrication of battery pack components. Versatility of novel metrological systems creates new opportunities for increasing the production speed, quality and safety of EV battery modules</p

Diffusion tensor imaging is associated with motor outcomes of very preterm born children at 11 years of age

Aim Very preterm children born Methods A cohort of 37 very preterm infants (mean gestational age 29 4/7, SD 2 0/7) born in 2004-2006 in Turku University Hospital underwent diffusion tensor imaging at term. A region of interest analysis of fractional anisotropy and mean diffusivity was performed. Motor outcomes at 11 years of age were measured with the Movement Assessment Battery for Children - Second Edition. Results The diffusion metrics of the corpus callosum (genu P = .005, splenium P = .049), the left corona radiata (P = .035) and the right optic radiation (P = .017) were related to later motor performance. Mean diffusivity decreased and fractional anisotropy increased in proportion to the improving performance. Conclusion The diffusion metrics of the genu and splenium of the corpus callosum, the left corona radiata and the right optic radiation at term were associated with motor skills at 11 years of age. Diffusion tensor imaging should be further studied as a potential tool in recognising children at risk for motor impairment.</div

Hitsatun rakenteen nykyaikaiset mittausmenetelmät : osa 2

Nykyaikaiset mittausmenetelmät tarjoavat hitsatun rakenteen valmistajille nopeita ja tehokkaita vaihtoehtoja rakenteen mittaamiseen ennen ja jälkeen hitsauksen. Tässä artikkelissa käsitellään 3D-skannauksen hyödyntämistä hitsaavan tuotannon tarkastuksissa ja esitellään dynaamisten muodonmuutosten sovelluskohteita

Hitsatun rakenteen nykyaikaiset mittausmenetelmät : osa 1

Nykyaikaiset mittausmenetelmät tarjoavat hitsatun rakenteen valmistajille nopeita ja tehokkaita vaihtoehtoja rakenteen mittaamiseen ennen ja jälkeen hitsauksen. Varsinkin optiset menetelmät ovat kehittyneet merkittävästi nopeutensa, käytettävyytensä ja tarkkuutensa suhteen. Turun ammattikorkeakoulu tutkii menetelmiä hitsattujen kokoonpanojen mittaukseen Business Finlandin rahoittamassa DigRob-hankkeessa

Uneven development of economic interaction across the Finnish-Russian border

Two Finnish geographers examine the impact of the post-Cold War opening of the Finnish-Russian border on the level of economic interaction between Finland and Russia. They explore the role played by institutional and structural factors in the development of trade and foreign direct investment (FDI) between the two countries, as well as behavioral factors such as the attitudes of enterprise managers and workers. Insights into the nature of obstacles to Finnish-Russian trade and FDI are revealed by surveys of Russian workers and case studies of Finnish/Nordic companies doing business in Russia

Gut microbiota-host interactions and juvenile idiopathic arthritis

Background: Juvenile idiopathic arthritis is the most common form of chronic arthritis in children. There is mounting evidence that the microbiota may influence the disease. Main body: Recent observations in several systemic inflammatory diseases including JIA have indicated that abnormalities in the contents of the microbiota may be factors in disease pathogenesis, while other studies in turn have shown that environmental factors impacting the composition of the microbiota, such as delivery mode and early exposure to antibiotics, affect the risk of chronic inflammatory diseases including JIA. Microbial alterations may predispose to JIA through a variety of mechanisms, including impaired immunologic development, alterations in the balances of pro- versus anti-inflammatory bacteria, and low-grade mucosal inflammation. Additional confirmatory studies of microbiota aberrations and their risk factors are needed, as well as additional mechanistic studies linking these alterations to the disease itself. Conclusions: The microbiota may influence the risk of JIA and other systemic inflammatory conditions through a variety of mechanisms. Additional research is required to improve our understanding of the links between the microbiota and arthritis, and the treatment implications thereof