Jens Hahne, Björn Polenz, Iryna Kulchytska-Ruchka, S. Friedhoff, S. Ulbrich, S. Schöps
{"title":"Parallel-in-time optimization of induction motors","authors":"Jens Hahne, Björn Polenz, Iryna Kulchytska-Ruchka, S. Friedhoff, S. Ulbrich, S. Schöps","doi":"10.1186/s13362-023-00134-5","DOIUrl":"https://doi.org/10.1186/s13362-023-00134-5","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":" ","pages":"1-16"},"PeriodicalIF":2.6,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46769837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images","authors":"A. Benfenati, P. Causin, R. Oberti, G. Stefanello","doi":"10.1186/s13362-023-00133-6","DOIUrl":"https://doi.org/10.1186/s13362-023-00133-6","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"13 1","pages":"1-16"},"PeriodicalIF":2.6,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42006113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A mathematical characterization of anatomically consistent blood capillary networks","authors":"M. Bertolini, P. Causin, C. Turrini","doi":"10.1186/s13362-022-00129-8","DOIUrl":"https://doi.org/10.1186/s13362-022-00129-8","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"13 1","pages":"1-17"},"PeriodicalIF":2.6,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46675638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Weber, M. Neumann, Matthias Schmidt, P. B. Pfeiffer, Akanksha Bansal, M. Fändrich, Volker Schmidt
{"title":"Segmentation and morphological analysis of amyloid fibrils from cryo-EM image data","authors":"Matthias Weber, M. Neumann, Matthias Schmidt, P. B. Pfeiffer, Akanksha Bansal, M. Fändrich, Volker Schmidt","doi":"10.1186/s13362-023-00131-8","DOIUrl":"https://doi.org/10.1186/s13362-023-00131-8","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"13 1","pages":"1-11"},"PeriodicalIF":2.6,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42004956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning and Medical Applications","authors":"","doi":"10.1007/978-981-99-1839-3","DOIUrl":"https://doi.org/10.1007/978-981-99-1839-3","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"78 24","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72371252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel.","authors":"Greta Malaspina, Stevo Racković, Filipa Valdeira","doi":"10.1186/s13362-022-00130-1","DOIUrl":"https://doi.org/10.1186/s13362-022-00130-1","url":null,"abstract":"<p><p>Given the severe impact of COVID-19 on several societal levels, it is of crucial importance to model the impact of restriction measures on the pandemic evolution, so that governments are able to make informed decisions. Even though there have been countless attempts to propose diverse models since the rise of the outbreak, the increase in data availability and start of vaccination campaigns calls for updated models and studies. Furthermore, most of the works are focused on a very particular place or application and we strive to attain a more general model, resorting to data from different countries. In particular, we compare Great Britain and Israel, two highly different scenarios in terms of vaccination plans and social structure. We build a network-based model, complex enough to model different scenarios of government-mandated restrictions, but generic enough to be applied to any population. To ease the computational load we propose a decomposition strategy for our model.</p>","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"13 1","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10765220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bannenberg, Marcus W. F. M., Ciccazzo, Angelo, Günther, Michael
{"title":"Reduced order multirate schemes in industrial circuit simulation","authors":"Bannenberg, Marcus W. F. M., Ciccazzo, Angelo, Günther, Michael","doi":"10.1186/s13362-022-00127-w","DOIUrl":"https://doi.org/10.1186/s13362-022-00127-w","url":null,"abstract":"In this paper the industrial application of Reduced Order Multirate (ROMR) schemes is presented. This paper contains the mathematical foundations of the ROMR schemes and elaborates on the construction of these schemes using specific Model Order Reduction (MOR) techniques. Especially the Maximum Entropy Snapshot Sampling method for generating a reduced basis and reduction by Gauß–Newton with Approximated Tensors (GNAT). This basis generation method is also used for generating the basis for the gappy hyper-reduction method used for nonlinear function evaluation. For the multirate integration part, a Backward Differentation Formula approach to integration is used in conjunction with a coupled-slowest-first multirate approach. After introducing the numerical approach to industrial circuit simulation validation experiments are performed. First a simple academic model is used, and then an industrial test case is simulated as presented by STMicroelectronics. A significant speedup in simulation time is achieved whilst accuracy and convergence is kept.","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"79 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kolmbauer, Michael, Offner, Günter, Pfau, Ralf Uwe, Pöchtrager, Bernhard
{"title":"Multirate DAE-simulation and its application in system simulation software for the development of electric vehicles","authors":"Kolmbauer, Michael, Offner, Günter, Pfau, Ralf Uwe, Pöchtrager, Bernhard","doi":"10.1186/s13362-022-00126-x","DOIUrl":"https://doi.org/10.1186/s13362-022-00126-x","url":null,"abstract":"This work is devoted to the efficient simulation of large multi-physical networks stemming from automated modelling processes in system simulation software. The simulation of hybrid, battery and fuel cell electric vehicle applications requires the coupling of electrical, mechanical, fluid, and thermal networks. Each network is established by combining the connection structure of a graph with physical equations of elementary components and resulting in a DAE (differential algebraic equation). To speed up the simulation a non-iterative multirate time integration co-simulation method for the system of coupled DAEs is established. The power of the multirate method is shown via two representative examples of battery powered electric vehicle with a cooling system for the battery pack and a three phase inverter with a cooling system. This work is an extended version of (Kolmbauer et al. in Scientific Computing in Electrical Engineering (SCEE 2020), Springer, Cham, pp. 231–240, 2021).","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"48 4","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A mathematical model for the corneal transparency problem","authors":"Araújo, Adérito, Barbeiro, Sílvia, Bernardes, Rui, Morgado, Miguel, Sakić, Sunčica","doi":"10.1186/s13362-022-00125-y","DOIUrl":"https://doi.org/10.1186/s13362-022-00125-y","url":null,"abstract":"Understanding the physical basis of corneal transparency has been a subject of interest amongst physicists, basic scientists and ophthalmologists. Impairment of corneal clarity is a significant cause of visual morbidity worldwide. Thus, it is essential to understand the mechanisms behind corneal transparency and how the alterations due to corneal pathologies affect vision. We use Maxwell’s equations to model light propagation in ocular tissues and a nodal discontinuous Galerkin method combined with an explicit Runge-Kutta method to simulate light propagation in normal and pathological corneas. Our simulation results illustrate that an increase in the diameter of some fibres causes an increase in backscattering. Thus, these may represent some of the physical changes in the cornea that might result in loss of transparency and visual morbidity.","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":"36 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138526253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kurz, H. de Gersem, Armin Galetzka, A. Klaedtke, M. Liebsch, Dimitrios Loukrezis, S. Russenschuck, Manuel Schmidt
{"title":"Hybrid modeling: towards the next level of scientific computing in engineering","authors":"S. Kurz, H. de Gersem, Armin Galetzka, A. Klaedtke, M. Liebsch, Dimitrios Loukrezis, S. Russenschuck, Manuel Schmidt","doi":"10.1186/s13362-022-00123-0","DOIUrl":"https://doi.org/10.1186/s13362-022-00123-0","url":null,"abstract":"","PeriodicalId":44012,"journal":{"name":"Journal of Mathematics in Industry","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41906372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}