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Institute
This dissertation is concerned with the task of map-based self-localization, using images of the ground recorded with a downward-facing camera. In this context, map-based (self-)localization is the task of determining the position and orientation of a query image that is to be localized. The map used for this purpose consists of a set of reference images with known positions and orientations in a common coordinate system. For localization, the considered methods determine correspondences between features of the query image and those of the reference images.
In comparison with localization approaches that use images of the surrounding environment, we expect that using images of the ground has the advantage that, unlike the surrounding, the visual appearance of the ground is often long-term stable. Also, by using active lighting of the ground, localization becomes independent of external lighting conditions.
This dissertation includes content of several published contributions, which present research on the development and testing of methods for feature-based localization of ground images. Our first contribution examines methods for the extraction of image features that have not been designed to be used on ground images. This survey shows that, with appropriate parametrization, several of these methods are well suited for the task.
Based on this insight, we develop and examine methods for various subtasks of map-based localization in the following contributions. We examine global localization, where all reference images have to be considered, as well as local localization, where an approximation of the query image position is already known, which allows for disregarding reference images with a large distance to this position.
In our second contribution, we present the first systematic comparison of state-of-the-art methods for ground texture based localization. Furthermore, we present a method, which is characterized by its usage of our novel feature matching technique. This technique is called identity matching, as it matches only those features with identical descriptors, in contrast to the state-of-the-art that also matches features with similar descriptors. We show that our method is well suited for global and local localization, as it has favorable scaling with the number of reference images considered during the localization process. In another contribution, we develop a variant of our localization method that is significantly faster to compute, as it applies a sampling approach to determine the image positions at which local features are extracted, instead of using classical feature detectors.
Two further contributions are concerned with global localization. The first one introduces a prediction model for the global localization performance, based on an evaluation of the local localization performance. This allows us to quickly evaluate any considered parameter settings of global localization methods. The second contribution introduces a learning-based method that computes compact descriptors of ground images. This descriptor can be used to retrieve the overlapping reference images of a query image from a large set of reference images with little computational effort.
The most recent contribution included in this dissertation presents a new ground image database, which was recorded with a dedicated platform using a downward-facing camera. In addition to the data, we also explain our guidelines for the construction of the platform. In comparison with existing databases, our database contains more images and presents a larger variety of ground textures. Furthermore, this database enables us to perform the first systematic evaluation of how localization performance is affected by the time interval between the point in time at which the reference images are recorded and the point in time at which the query image is recorded. We find out that for outdoor areas all ground texture based localization methods have reliability issues, if the time interval between the recording of the query and reference images is large, and also if there are different weather conditions. These findings point to remaining challenges in ground texture base localization that should be addressed in future work.
Matroids are combinatorial objects that generalize linear independence. A matroid can be represented geometrically by its Bergman fan and we compare the symmetries of these two objects. Sometimes, the Bergman fan has additional automorphisms, which are related to Cremona transformations in projective space. Their existence depends on a combinatorial property of the matroid, as has been shown by Shaw and Werner, and we study the consequences for the structure of such matroids. This allows us to gain a better understanding of the so-called Cremona group of a matroid and we apply our results to root system matroids.
Das adaptive Immunsystem schützt den Menschen vor extra- wie auch intrakorporal auftretenden Pathogenen und Krebszellen. Die Funktionalität dieses Prozesses geht hierbei auf die Interaktion und Kooperation einer Vielzahl verschiedener Zelltypen des Körpers zurück und ist vorwiegend innerhalb der Lymphknoten lokalisiert. Ist auch nur ein Bestandteil dieses sensiblen Prozesses gestört, kann dies zu einem teilweisen oder vollständigen Verlust der immunologischen Fitness des Menschen führen. Daher war es das Ziel dieser Arbeit, solche Aberrationen des humanen Lymphknotengewebes umfassend digital-pathologisch zu detektieren und zu definieren.
Hierfür wurde zunächst eine digitale Gewebedatenbank etabliert. Diese basiert auf dem im Rahmen dieser Arbeit implementierten Content-Management-System Digital Tissue Management Suite. Weiterhin wurde die Software Feature analysis in tissue histomorphometry entwickelt, welche die Analyse von zweidimensionalen whole slide images ermöglicht. Hierbei werden Methoden aus dem Bereich Computer Vision und Graphentheorie eingesetzt, um morphologische und distributionale Eigenschaften der Zelltypen des Lymphknotens zu charakterisieren. Darüber hinaus enthält diese Software Plug-ins zur Visualisierung und statistischen Analyse der Daten.
Aufbauend auf der eigens implementierten, digitalen Infrastruktur, in Kombination mit der Software Imaris wurden zweidimensional und dreidimensional gescannte, reaktive und neoplastische Gewebeproben digital phänotypisiert. Hierbei konnten neue mechanische Barrieren zur Kompartimentalisierung der Keimzentren aufgeklärt werden. Weiterhin konnte der Erhalt des quantitativen Verhältnisses einzelner Zellpopulationen innerhalb der Keimzentren beschrieben werden. Ausgehend von den reaktiven Phänotypen des Lymphknotens, wurden pathophysiologische Aberrationen in verschiedenen lymphatischen Neoplasien untersucht. Hierbei konnte gezeigt werden, dass speziell die strukturelle Destruktion häufig mit einer morphologischen Veränderung der fibroblastischen Retikulumzellen einhergeht.
Neben strukturellen Veränderungen sind auch zytologische Veränderungen der Tumormikroumgebung zu verzeichnen. Eine besondere Rolle spielen hierbei sogenannte Tumor-assoziierte Makrophagen. Im Rahmen dieser Arbeit konnte gezeigt werden, dass speziell Makrophagen in der Tumormikroumgebung des diffus großzelligen B-Zell-Lymphoms und der chronisch lymphatischen Leukämie spezifische pathophysiologische Veränderungen aufzeigen. Auch konnte gezeigt werden, dass genetische Änderungen neoplastischer B-Zellen mit einer generellen Reduktion der CD20-Antigendichte einhergehen.
Zusammenfassend ermöglichten die Ergebnisse die Generierung eines umfassenden digital-pathologischen Profils des klassischen Hodgkin-Lymphoms. Hierbei konnten morphologische Veränderungen neoplastischer, CD30-positiver Hodgkin-Reed-Sternberg-Zellen validiert und beschrieben werden. Auch konnten pathologische Veränderungen des Konnektoms und der Tumormikroumgebung dieser Zellen parametrisiert und quantifiziert werden. Abschließend wurde unter Anwendung eines Random forest-Klassifikators die diagnostische Potenz digital-pathologischer Profile evaluiert und validiert.
Acharya, Shreyasi ; Adamová, Dagmar ; Adler, Alexander ; Adolfsson, Jonatan ; Aglieri Rinella, Gianluca ; Agnello, Michelangelo ; Agrawal, Neelima ; Ahammed, Zubayer ; Ahmad, Shakeel ; Un Ahn, Sang ; Ahuja, Ishaan ; Akbar, Zaenal ; Akindinov, Alexander ; Al-Turany, Mohammad ; Noor Alam, Sk ; Aleksandrov, Dmitry ; Alessandro, Bruno ; Mas’ud Alfanda, Haidar ; Ruben Alfaro Molina, Jose ; Ali, Bushra ; Ali, Yasir ; Alici, Andrea ; Alizadehvandchali, Negin ; Alkin, Anton ; Alme, Johan ; Alt, Torsten ; Altenkämper, Lucas ; Altsybeev, Igor ; Naji Anaam, Mustafa ; Andrei, Cristian ; Andreou, Dimitra ; Andronic, Anton ; Angeletti, Massimo ; Anguelov, Venelin ; Antinori, Federico ; Antonioli, Pietro ; Chandra, Anuj ; Apadula, Nicole ; Bernard Aphecetche, Laurent ; Appelshäuser, Harald ; Arcelli, Silvia ; Arnaldi, Roberta ; Arsene, Ionut Cristian ; Arslandok, Mesut ; Augustinus, Andre ; Peter Averbeck, Ralf ; Aziz, Sizar ; Danish Azmi, Mohd ; Badalà, Angela ; Wook Baek, Yong ; Bai, X. ; Bailhache, Raphaëlle ; Bailung, Yoshini ; Bala, Remu ; Balbino, Alessandro ; Baldisseri, Alberto ; Balis, Bartosz ; Ball, Markus ; Banerjee, Debjani ; Barbera, Roberto ; Barioglio, Luca ; Barlou, Maria ; Gabor Barnaföldi, Gergely ; Stuart Barnby, Lee ; Barret, Valerie ; Bartels, Clara ; Barth, Klaus ; Bartsch, Esther ; Baruffaldi, Filippo ; Bastid, Nicole ; Basu, Sumit ; Batigne, Guillaume ; Batyunya, Boris ; Bauri, Dibakar ; Bazo Alba, Jose Luis ; Gardner Bearden, Ian ; Beattie, Caitlin ; Belikov, Iouri ; Bell Hechavarria, Ailec de la Caridad ; Bellini, Francesca ; Bellwied, Rene ; Belokurova, Svetlana ; Belyaev, Vladimir ; Bencédi, Gyula ; Beolè, Stefania ; Bercuci, Alexandru ; Berdnikov, Yaroslav ; Berdnikova, Anastasia ; Bergmann, Luisa ; Gabriela Besoiu, Mihaela ; Betev, Latchezar ; Pratim Bhaduri, Partha ; Bhasin, Anju ; Asif Bhat, Mohammad ; Bhattacharjee, Buddhadeb ; Bhattacharya, Purba ; Bianchi, Livio ; Bianchi, Nicola ; Bielčík, Jaroslav ; Bielčíková, Jana ; Biernat, Jacek ; Bilandzic, Ante ; Biro, Gabor ; Biswas, Saikat ; Thomas Blair, Justin ; Blau, Dmitry S. ; Blidaru, Mihail-Bogdan ; Blume, Christoph ; Boca, Gianluigi ; Bock, Friederike ; Bogdanov, Alexey A. ; Boi, Stefano ; Bok, Jeongsu ; Boldizsar, Laszlo ; Bolozdynya, Alexander I. ; Bombara, Marek ; Matthew Bond, Peter ; Bonomi, Germano ; Borel, Herve ; Borissov, Alexander ; Bossi, Hannah ; Botta, Elena ; Bratrud, Lars ; Braun-Munzinger, Peter ; Bregant, Marco ; Broz, Michal ; Eugenio Bruno, Giuseppe ; Daniel Buckland, Matthew ; Budnikov, Dmitry ; Büsching, Henner ; Bufalino, Stefania ; Bugnon, Ophélie ; Bühler, Paul ; Buthelezi, Edith Zinhle ; Bashir Butt, Jamila ; Adam Bysiak, Sebastian ; Caffarri, Davide ; Cai, M. ; Louise Caines, Helen ; Caliva, Alberto ; Calvo Villar, Ernesto ; Manuel Mejia Camacho, Juan ; Soto Camacho, Rabi ; Camerini, Paolo ; de Moraes Canedo Canedo, Fabio ; Carnesecchi, Francesca ; Albert Andre Caron, Robin ; Ernesto Castillo Castellanos, Javier ; Anna Rita Casula, Ester ; Catalano, Fabio ; Ceballos Sanchez, Cesar ; Chakraborty, Pritam ; Chandra, Sinjini ; Chapeland, Sylvain ; Chartier, Marielle ; Chattopadhyay, S. ; Chattopadhyay, S. ; Henri Jean Chauvin, Alex ; García Chávez, Tonatiuh ; Valeriev Cheshkov, Cvetan ; Cheynis, Brigitte ; Miguel Chibante Barroso, Vasco ; Chinellato, David Dobrigkeit ; Cho, Soyeon ; Chochula, Peter ; Christakoglou, Panagiotis ; Christensen, Christian Holm ; Christiansen, Peter L. ; Chujo, Tatsuya ; Cicalò, Corrado ; Cifarelli, Luisa ; Cindolo, Federico ; Rudolf Ciupek, Michael ; Clai, Giulia ; Willy Andre Cleymans, Jean ; Filippo Colamaria, Fabio ; Samuel Colburn, Jonathan ; Colella, Domenico ; Collu, Alberto ; Colocci, Manuel ; Concas, Matteo ; Conesa Balbastre, Gustavo ; Conesa del Valle, Zaida ; Contin, Giacomo ; Guillermo Contreras Nuno, Jesus ; Louis Coquet, Maurice ; Michael Cormier, Thomas ; Cortese, Pietro ; Rogerio Cosentino, Mauro ; Costa, Filippo ; Costanza, Susanna ; Crochet, Philippe ; Cruz Torres, Reynier ; Cuautle Flores, Eleazar ; Cui, Pengyao ; Cunqueiro Mendez, Leticia ; Dainese, Andrea ; Damas, F. P. A. ; Charlotte Danisch, Meike ; Danu, Andrea ; Das, Indranil ; Das, Prottay ; Das, Prottay ; Das, Supriya ; Dash, Sadhana ; De, Sudipan ; De Caro, Annalisa ; De Cataldo, Giacinto ; De Cilladi, Lorenzo ; Cuveland, Jan de ; De Falco, Alessandro ; De Gruttola, Daniele ; De Marco, Nora ; De Martin, Chiara ; De Pasquale, Salvatore ; Deb, Suman ; Degenhardt, Hermann Franz ; Rafal Deja, Kamil ; Dello Stritto, Luigi ; Delsanto, Silvia ; Deng, W. ; Dhankher, Preeti ; Di Bari, Domenico ; Di Mauro, Antonio ; Diaz, R. A. ; Dietel, Thomas ; Ding, Yanchun ; Divià, Roberto ; Utpalkumar Dixit, Dhruv ; Djuvsland, Øystein ; Dmitrieva, Uliana ; Do, J. ; Florin Dobrin, Alexandru ; Donigus, Benjamin ; Dordic, Olja ; Kumar Dubey, Anand ; Dubla, Andrea ; Dudi, Sandeep ; Dukhishyam, Mallick ; Dupieux, Pascal ; Dzalaiova, N. ; Maria Eder, Tabea ; James Ehlers, Raymond ; Nilsen Eikeland, Viljar ; Eisenhut, Florian ; Elia, Domenico ; Ewa Erazmus, Barbara ; Ercolessi, Francesca ; Erhardt, Filip ; Erokhin, Andrey ; Rentsch Ersdal, Magnus ; Espagnon, Bruno ; Eulisse, Giulio ; Evans, David ; Evdokimov, Sergey ; Fabbietti, Laura ; Faggin, Mattia ; Faivre, Julien ; Fan, Feng ; Fantoni, Alessandra ; Fasel, Markus ; Fecchio, Pietro ; Feliciello, Alessandro ; Feofilov, Grigori A. ; Fernández Téllez, Arturo ; Ferrero, Andrea ; Ferretti, Alessandro ; Jose Gaston Feuillard, Victor ; Figiel, Jan ; Filchagin, Sergey ; Finogeev, Dmitry ; Maria Celeste Fionda, Fiorella ; Fiorenza, Gabriele ; Antonio Flor, Fernando ; Nicole Flores, Amanda ; Foertsch, Siegfried Valentin ; Foka, Panagiota ; Fokin, Sergey ; Fragiacomo, Enrico ; Frajna, E. ; Fuchs, Ulrich ; Funicello, Nicola ; Furget, Christophe ; Furs, Artur ; Gaardhoje, J. J. ; Gagliardi, Martino ; Gago Medina, Alberto Martín ; Willem Jean Gal, Arthur ; Duarte Galvan, Carlos ; Ganoti, Paraskevi ; Garabatos, Chilo ; Ricardo Alvarado Garcia, Jesus ; Javier Garcia-Solis, Edmundo ; Garg, Kunal ; Gargiulo, Corrado ; Garibli, Aydan ; Garner, Katharina ; Gasik, Piotr ; Frances Gauger, Erin ; Gautam, Amrit ; Beatriz de Leone Gay Ducati, Maria ; Germain, Marie ; Ghosh, Premomoy ; Kumar Ghosh, Sanjay ; Giacalone, Marco ; Gianotti, Paola ; Giubellino, Paolo ; Giubilato, Piero ; Glaenzer, Aude Marie Camille ; Glässel, Peter ; Jia Qin Goh, Daniel ; Gonzalez, Victor ; Helena Gonzalez Trueba, Laura ; Gorbunov, Sergey ; Boguslaw Gorgon, Marek ; Maria Görlich, Lidia ; Gotovac, Sven ; Grabski, Varlen ; Graczykowski, Łukasz Kamil ; Greiner, Leo Clifford ; Grelli, Alessandro ; Grigoraș, Costin ; Grigoriev, Vladislav A. ; Grigoryan, Ara ; Grigoryan, Smbat ; Slettevoll Groettvik, Ola ; Grosa, Fabrizio ; Große-Oetringhaus, Jan Fiete ; Grosso, Raffaele ; Guardiano, G. G. ; Guernane, Rachid ; Rene Joseph Guilbaud, Maxime ; Herlache Gulbrandsen, Kristjan ; Gunji, Taku ; Gupta, Anik ; Gupta, Ramni ; Guzman, S. P. ; Gyulai, L. ; Karim Habib, Michael ; Marie Hadjidakis, Cynthia ; Halimoglu, Gokhan ; Hamagaki, Hideki ; Hamar, Gergö ; Hamid, Mohammed ; Hannigan, Ryan ; Rihan Haque, Md ; Harlenderova, Alena ; Harris, John W. ; Vincent Harton, Austin ; Anton Hasenbichler, Jan ; Hassan, Hadi ; Hatzifotiadou, Despina ; Hauer, Philip ; Brittany Havener, Laura ; Hayashi, Shinichi ; Heckel, Stefan Thomas ; Hellbär, Ernst ; Helstrup, Håvard ; Herman, Tomáš ; Gonzalez Hernandez, Emma ; Antonio Herrera Corral, Gerardo ; Herrmann, Florian ; Hetland, Kristin Fanebust ; Hillemanns, Hartmut ; Hills, Christopher ; Hippolyte, Boris ; Hofman, Bas ; Hohlweger, Bernhard ; Honermann, Jan ; Hong, Geunhee ; Horak, David ; Hornung, Sebastian ; Horzyk, A. ; Hosokawa, Ritsuya ; Hristov, Peter ; Hughes, Charles ; Huhn, Patrick ; Humanic, Thomas J. ; Hushnud, Hushnud ; Anna Husova, Lucia ; Hutson, A. ; Hutter, Dirk ; Philip Iddon, James ; Ilkaev, Radiy ; Ilyas, Hira ; Inaba, Motoi ; Innocenti, G. M. ; Ippolitov, Mikhail ; Isakov, Artem ; Samsul Islam, Md ; Ivanov, Marian ; Ivanov, V. ; Izucheev, Vladimir ; Jablonski, Miroslaw ; Jacak, Barbara ; Jacazio, Nicolò ; Martin Jacobs, Peter ; Jadlovska, Slavka ; Jadlovsky, Jan ; Jaelani, Syaefudin ; Jahnke, Cristiane ; Joanna Jakubowska, Monika ; Jalotra, A. ; Anna Janik, Malgorzata ; Janson, Thomas ; Jercic, Marko ; Jevons, Oliver ; Jonas, Florian ; Graham Jones, Peter ; Jowett, John M. ; Jung, Jerome ; Jung, Michael ; Jean-Simon Junique, Antoine ; Jusko, Anton ; Kaewjai, J. ; Kalinak, Peter ; Philipp Kalweit, Alexander ; Kaplin, Vladimir ; Kar, Somnath ; Karasu Uysal, Ayben ; Karatović, David ; Karavichev, Oleg V. ; Karavicheva, Tatiana L. ; Karczmarczyk, Przemyslaw ; Karpechev, Evgeny ; Kazantsev, Andrey ; Kebschull, Udo ; Keidel, Ralf ; Keijdener, Darius Laurens D. ; Keil, Markus ; Ketzer, Bernhard ; Khabanova, Zhanna ; Mehmood Khan, Ahsan ; Khan, Shaista ; Khanzadeev, Alexei ; Kharlov, Yury ; Khatun, Anisa ; Khuntia, Arvind ; Kileng, Bjarte ; Kim, B. ; Kim, C. ; Kim, D. ; Kim, D. J. ; Kim, E. J. ; Kim, J. ; Kim, J. S. ; Kim, J. ; Kim, J. ; Kim, M. ; Kim, S. ; Kim, T. ; Kirsch, Stefan ; Kisel, Ivan ; Kiselev, Sergej N. ; Ryszard Kisiel, Adam ; Kitowski, J. P. ; Lynn Klay, Jennifer ; Klein, Jochen ; Robert Klein, Spencer ; Klein-Bösing, Christian ; Kleiner, Matthias ; Klemenz, Thomas ; Kluge, Alexander ; Garritt Knospe, Anders ; Kobdaj, Chinorat ; Konrad Köhler, Markus ; Kollegger, Thorsten ; Kondratyev, Andrey ; Kondratyeva, Natalia ; Kondratyuk, Evgeny ; Leon König, Joshua ; Alexander Königstorfer, Stephan ; Jan Konopka, Piotr ; Kornakov, Georgy ; Dominik Koryciak, Sebastian ; Koska, Lukaš ; Kotliarov, A. ; Kovalenko, Oleksandr ; Kovalenko, Vladimir ; Kowalski, Marek ; Králik, Ivan ; Kravˇcakova, A. ; Kreis, Lukas ; Krivda, Marian ; Krizek, Filip ; Krizkova Gajdosova, Katarina ; Kroesen, Martin ; Krüger, Mario ; Kryshen, Evgeny ; Krzewicki, Mikolaj ; Kuˇcera, V. ; Claude Kuhn, Christian ; Gerardus Kuijer, Paulus ; Kumaoka, T. ; Kumar, D. ; Kumar, Lokesh ; Kumar, N. ; Kundu, Sourav ; Kurashvili, Podist ; Kurepin, Alexander ; Kurepin, Alexey B. ; Kuryakin, Alexey ; Kushpil, Svetlana ; Kvapil, Jakub ; Jung Kweon, Min ; Kwon, J. Y. ; Kwon, Youngil ; Louise La Pointe, Sarah ; La Rocca, Paola ; Shi Lai, Yue ; Lakrathok, Anantachai ; Lamanna, Massimo ; Langoy, Rune ; Lapidus, Kirill ; Larionov, Pavel ; Laudi, Elisa ; Lautner, Lukas ; Lavicka, Roman ; Lazareva, Tatiana V. ; Lea, Ramona ; Lehrbach, Johannes ; Crawford Lemmon, Roy ; Leon Monzon, Ildefonso ; Douglas Lesser, Ezra ; Lettrich, Michael ; Lévai, Peter ; Li, X. ; Long Li, Xing ; Andre Lien, Jørgen ; Lietava, Roman ; Lim, Bong-Hwi ; Lim, S. H. ; Lindenstruth, Volker ; Lindner, Amelia ; Lippmann, Christian ; Ruixin Liu, Alwina ; Liu, J. ; Lofnes, I. M. ; Loginov, Vitaly ; Loizides, Constantinos ; Lončar, Petra ; Andres Lopez, Jorge ; Bernard Lopez, Xavier ; López Torres, Ernesto ; Robert Luhder, Jens ; Lunardon, Marcello ; Luparello, Grazia ; Ma, Yu-Gang ; Maevskaya, Alla ; Mager, Magnus ; Mahmoud, Tariq ; Maire, Antonin ; Malaev, Mikhail ; Mehdi Malik, Nasir ; Waheed Malik, Qasim ; Malinina, Liudmila ; Mal’Kevich, Dmitry ; Mallick, Neelkamal ; Malzacher, Peter ; Mandaglio, Giuseppe ; Manko, Vladislav ; Manso, Franck ; Manzari, Vito ; Mao, Yaxian ; Mareš, Jiří ; Vito Margagliotti, Giacomo ; Margotti, Anselmo ; Marin, Ana ; Markert, Christina ; Marquard, Marco ; Alice Martin, Nicole ; Martinengo, Paolo ; Lee Martinez, Jacobb ; Ivan Martinez Hernandez, Mario ; Garcia Martinez, Gines ; Masciocchi, Silvia ; Masera, Massimo ; Masoni, Alberto ; Marie Massacrier, Laure ; Mastroserio, Annalisa ; Michael Mathis, Andreas ; Matonoha, Oliver ; Fernanda Toledo Matuoka, Paula ; Tomasz Matyja, Adam ; Mayer, Christoph ; Lafuente Mazuecos, Antonio ; Mazzaschi, Francesco ; Mazzilli, Marianna ; Maria Mazzoni, Alessandra ; Mdhluli, J. E. ; Florin Mechler, Adrian ; Meddi, Franco ; Melikyan, Yury ; Alejandro Menchaca-Rocha, Arturo ; Meninno, Elisa ; Sasikumar Menon, Anjaly ; Meres, Michal ; Mhlanga, Sibaliso ; Miake, Yasuo ; Micheletti, Luca ; Migliorin, Lucrezia Camilla ; Lubomirov Mihaylov, Dimitar ; Mikhaylov, Konstantin ; Nath Mishra, Aditya ; Mi´skowiec, D. ; Modak, Abhi ; Prasad Mohanty, Auro ; Mohanty, Bedangadas ; Mohisin Khan, Mohammed ; Moravcova, Zuzana ; Mordasini, Cindy ; Aparecida Moreira de Godoy, Denise ; Alberto Perez Moreno, Luis ; Morozov, Igor ; Morsch, Andreas ; Mrnjavac, Teo ; Muccifora, Valeria ; Mudnic, Eugen ; Muhlheim, Daniel ; Muhuri, Sanjib ; Declan Mulligan, James ; Mulliri, Alice ; Gameiro Munhoz, Marcelo ; Helmut Munzer, Robert ; Murakami, Hikari ; Murray, Sean ; Musa, Luciano ; Musinsky, Jan ; Wojciech Myrcha, Julian ; Naik, Bharati ; Ramachandran Nair, Rahul ; Kumar Nandi, Basanta ; Nania, Rosario ; Nappi, Eugenio ; Umair Naru, Muhammad ; Fereydon Nassirpour, Adrian ; Nath, Abhishek ; Nattrass, Christine ; Neagu, Alexandra ; Nellen, Lukas ; Voigt Nesbo, Simon ; Nešković, Gvozden ; Nesterov, Dmitrii ; Svane Nielsen, Borge ; Nikolaev, Sergey ; Nikulin, Sergey ; Nikulin, Vladimir ; Noferini, Francesco ; Noh, S. ; Nomokonov, Petr V. ; Norman, Jaime ; Novitzky, Norbert ; Nowakowski, Piotr ; Nyanin, Alexander ; Nystrand, Joakim Ingemar ; Ogino, Masanori ; Ohlson, Alice ; Okorokov, Vitaly A. ; Oleniacz, Janusz ; Carlos Oliveira da Silva, Antonio ; Henry Oliver, Michael ; Önnerstad, Anna ; Oppedisano, Chiara ; Ortiz Velasquez, Antonio ; Osako, Takumi ; Nils Erik Oskarsson, Anders ; Tomasz Otwinowski, Jacek ; Oyama, Ken ; Pachmayer, Yvonne C. ; Padhan, Sonali ; Pagano, Davide ; Pai´c, G. ; Palasciano, Antonio ; Pan, Jinjin ; Matthias Panebianco, Stefano ; Pareek, Pooja ; Park, Jonghan ; Elias Parkkila, Jasper ; Prakash Pathak, Surya ; Nath Patra, Rajendra ; Paul, Biswarup ; Pazzini, J. ; Pei, Hua ; Peitzmann, Thomas ; Peng, Xinye ; Gustavo Pereira, Luis ; Denis Antonio Pereira da Costa, Hugo ; Yurevich Peresunko, Dmitry ; Perez, G. M. ; Perrin, Sébastien ; Pestov, Yury N. ; Petráček, Vojtech ; Petrovici, Mihai A. ; Pezzi, Rafael Peretti ; Piano, Stefano ; Pikna, Miroslav ; Pillot, Philippe ; Pinazza, Ombretta ; Pinsky, Lawrence ; Pinto, Chiara ; Pisano, Silvia ; Płoskoń, Mateusz ; Planinic, Mirko ; Pliquett, Fabian ; Poghosyan, Martin G. ; Polichtchouk, Boris ; Politano, Stefano ; Poljak, Nikola ; Pop, Amalia ; Porteboeuf-Houssais, Sarah Julie ; Brent Porter, Jeffrey ; Pozdniakov, Valeriy ; Kumar Prasad, Sidharth ; Preghenella, Roberto ; Prino, Francesco ; Pruneau, Claude A. ; Pshenichnov, Igor A. ; Puccio, Maximiliano ; Qiu, S. ; Quaglia, Luca ; Estefania Quishpe, Raquel ; Ragoni, Simone ; Malala Rakotozafindrabe, Andry ; Ramello, Luciano ; Rami, Fouad ; Anibal Rodriguez Ramirez, Saul ; Grisel Torres Ramos, Arianna ; Albert Rancien, Thibaut ; Raniwala, Rashmi ; Raniwala, Sudhir ; Sakari Räsänen, Sami ; Rath, Rutuparna ; Ravasenga, Ivan ; Francis Read, Kenneth ; Redelbach, Andreas Ralph ; Redlich, Krzysztof ; ur Rehman, Attiq ; Reichelt, Patrick ; Reidt, Felix ; Andre Reme-Ness, Haakon ; Arno Ernst Renfordt, Rainer ; Rescakova, Zuzana ; Reygers, Klaus ; Riabov, Andrei ; Riabov, Viktor G. ; Ora Herenui Richert, Tuva ; Richter, Matthias Rudolph ; Riegler, Werner ; Riggi, Francesco ; Ristea, Cătălin-Lucian ; Pandurang Rode, Sudhir ; Rodrı́guez Cahuantzi, Mario ; Røed, Ketil ; Rogalev, Roman ; Rogochaya, Elena ; Sebastian Rogoschinski, Tim ; Rohr, David ; Röhrich, Dieter ; Fierro Rojas, Pablo ; Stefan Rokita, Przemyslaw ; Ronchetti, Federico ; Rosano, Antonina ; Dominguez Rosas, Edgar ; Rossi, Andrea ; Rotondi, Alberto ; Roy, Ankhi ; Kumar Roy, Pradip ; Roy, S. ; Rubini, Nicola ; Vazquez Rueda, Omar ; Rui, Rinaldo ; Rumyantsev, Boris ; Russek, P. G. ; Rustamov, Anar ; Ryabinkin, Evgeny ; Ryabov, Yury ; Rybicki, Andrzej ; Maria Rytkönen, Heidi ; Rzęsa, Wioleta ; Antti Matti Saarimäki, Oskari ; Sadek, Rita ; Sadovskiy, Sergey ; Sætre, Jon-are ; Šafařík, Karel ; Saha, Sumit Kumar ; Saha, Swati ; Sahoo, Baidyanath ; Sahoo, Pragati ; Sahoo, Raghunath ; Sahoo, Sarita ; Sahu, Dushmanta ; Kumar Sahu, Pradip ; Saini, Jogender ; Sakai, Shingo ; Singh Sambyal, Sanjeev ; Samsonov, Vladimir ; Sarkar, Debojit ; Sarkar, Nachiketa ; Sarma, Pranjal ; Mantovani Sarti, Valentina ; Henry Petrus Sas, Mike ; Schambach, Joachim ; Sebastian Scheid, Horst ; Cornel Schiaua, Claudiu ; Schicker, Rainer ; Schmah, Alexander ; Joachim Schmidt, Christian ; Rudolf Schmidt, Hans ; Ole Schmidt, Marten ; Schmidt, M. ; Schmidt, Nicolas ; Robert Schmier, Austin ; Schotter, Romain ; Schukraft, Jürgen ; Roland Schutz, Yves ; Schwarz, Kilian ; Schweda, Kai ; Scioli, Gilda ; Scomparin, Enrico ; Elizabeth Seger, Janet ; Sekiguchi, Yuko ; Sekihata, Daiki ; Selyuzhenkov, Ilya ; Senyukov, Serhiy ; Joo Seo, Jin ; Serebryakov, Dmitry ; Šerkšnytė, Laura ; Sevcenco, Adrian ; Joyce Shaba, Tebogo ; Shabanov, Arseniy ; Shabetai, Alexandre ; Shahoyan, Ruben ; Shaikh, Wadut ; Shangaraev, Artem ; Sharma, A. ; Sharma, H. ; Sharma, M. ; Sharma, Natasha ; Sharma, S. ; Sharma, U. ; Sheibani, Oveis ; Shigaki, Kenta ; Shimomura, Maya ; Shirinkin, Sergey ; Shou, Qiye ; Sibiriak, Yury ; Siddhanta, Sabyasachi ; Siemiarczuk, Teodor ; Silva, Tiago Fiorini da ; Olle Rickard Silvermyr, David ; Simonetti, Giuseppe ; Singh, B. ; Singh, R. ; Singh, R. ; Singh, R. ; Singh, V. K. ; Singhal, Vikas ; Sinha, Tinku ; Sitar, Branislav ; Sitta, Mario ; Bernhard Skaali, Toralf ; Skorodumovs, Georgijs ; Slupecki, Maciej ; Smirnov, N. ; Snellings, Raimond ; Soncco Meza, Carlos ; Song, J. ; Songmoolnak, Arnon ; Soramel, Francesca ; Pontoppidan Sorensen, Soren ; Anna Sputowska, Iwona ; Stachel, Johanna ; Stan, Ionel ; Steffanic, Patrick John ; Friedrich Stiefelmaier, Stephan ; Stocco, Diego ; Storehaug, Ida ; Melnik Storetvedt, Maksim ; Pliatskas Stylianidis, Christos ; Suaide, Alexandre Alarcon do Passo ; Sugitate, Toru ; Pierre Suire, Christophe ; Šuljić, Miljenko ; Sultanov, Rishat ; Šumbera, Michal ; Sumberia, Vikash ; Sumowidagdo, Suharyo ; Swain, Sagarika ; Szabo, Alexander ; Szarka, Imrich ; Tabassam, Uzma ; Farid Taghavi, Seyed ; Taillepied, Guillaume ; Takahashi, Jun ; Jagannath Tambave, Ganesh ; Tang, S. ; Tang, Z. ; Tarhini, Mohamad ; Tarzila, Madalina-Gabriela ; Tauro, Arturo ; Tejeda Muñoz, Guillermo ; Telesca, Adriana ; Terlizzi, Livia ; Terrevoli, Cristina ; Tersimonov, Georgy ; Thakur, Sanchari ; Thomas, Deepa ; Noel Tieulent, Raphael ; Tikhonov, Anatoly ; Robert Timmins, Anthony ; Tkacik, Milan ; Toia, Alberica ; Topilskaya, Nataliya ; Toppi, Marco ; Torales Acosta, Fernando ; Tork, T. ; Rojas Torres, Solangel ; Trifiro, Antonio ; Tripathy, Sushanta ; Tripathy, Tulika ; Trogolo, Stefano ; Trombetta, Giuseppe ; Trubnikov, Victor ; Henryk Trzaska, Wladyslaw ; Piotr Trzcinski, Tomasz ; Antonina Trzeciak, Barbara ; Tumkin, Alexandr ; Turrisi, Rosario ; Spedstad Tveter, Trine ; Ullaland, Kjetil ; Uras, Antonio ; Urioni, Marta ; Usai, Gianluca ; Vala, Martin ; Valle, Nicolò ; Vallero, Sara ; Kolk, Naomi van der ; Vincent Rogier van Doremalen, Lennart ; Leeuwen, Marco van ; Vyvre, Pierre vande ; Varga, Dezsö ; Varga, Zoltán ; Varga-Kofarago, Monika ; Aurora Diozcora Vargas Treviño, Maria ; Vasileiou, Maria ; Vasiliev, Andrey ; Vazquez Doce, Oton ; Vechernin, Vladimir ; Vercellin, Ermanno ; Vergara Limon, Sergio ; Anne Vermunt, Lucas ; Vértesi, Róbert ; Verweij, Marta ; Vicković, Linda ; Vilakazi, Zabulon ; Villalobos Baillie, Orlando ; Vino, Gioacchino ; Vinogradov, Alexander A. ; Virgili, Tiziano ; Vislavicius, Vytautas ; Vodopyanov, Alexander ; Völkel, Benedikt ; Andreas Volkl, Martin ; Voloshin, Kirill ; Voloshin, Sergei ; Volpe, Giacomo ; Haller, Barthélémy von ; Vorobyev, Ivan ; Voscek, Dominik ; Vozniuk, Nikita ; Vrlakova, Janka ; Wagner, Boris ; Wang, C. ; Wang, D. ; Weber, Michael ; Jan Gijs van Weelden, Roelof ; Wegrzynek, Adam ; Wenzel, Sandro Christian ; Wessels, Johannes P. ; Wiechula, Jens ; Wikne, Jon ; Andrzej Wilk, Grzegorz ; Wilkinson, Jeremy ; Alexander Willems, Guido ; Windelband, Bernd ; Winn, Michael ; Edward Witt, William ; Rae Wright, Josephina ; Wu, W. ; Wu, Y. ; Xu, Ran ; Yalcin, Serpil ; Yamaguchi, Yorito ; Yamakawa, Kosei ; Yang, S. ; Yano, Satoshi ; Yin, Zhongbao ; Yokoyama, Hiroki ; Yoo, In-Kwon ; Yoon, Jin-Hee ; Yuan, S. ; Yüncü, Alperen ; Zaccolo, Valentina ; Zaman, Ali ; Zampolli, Chiara ; Jose Correia Zanoli, Henrique ; Zardoshti, Nima ; Zarochentsev, Andrey ; Závada, Petr ; Zaviyalov, Nikolaj ; Paulina Zbroszczyk, Hanna ; Zhalov, Mikhail ; Zhang, S. ; Zhang, X. ; Zhang, Y. ; Zherebchevskii, Vladimir ; Zhi, Y. ; Zhigareva, Natalia ; Zhou, D. ; Zhou, Y. ; Zhu, J. ; Zhu, Y. ; Zichichi, Antonino ; Zinovjev, Gennady M. ; Zurlo, Nicola
FEM–BEM coupling for the thermoelastic wave equation with transparent boundary conditions in 3D
(2022)
We consider the thermoelastic wave equation in three dimensions with transparent boundary conditions on a bounded, not necessarily convex domain. In order to solve this problem numerically, we introduce a coupling of the thermoelastic wave equation in the interior domain with time-dependent boundary integral equations. Here, we want to highlight that this type of problem differs from other wave-type problems that dealt with FEM–BEM coupling so far, e.g., the acoustic as well as the elastic wave equation, since our problem consists of coupled partial differential equations involving a vector-valued displacement field and a scalar-valued temperature field. This constitutes a nontrivial challenge which is solved in this paper. Our main focus is on a coercivity property of a Calderón operator for the thermoelastic wave equation in the Laplace domain, which is valid for all complex frequencies in a half-plane. Combining Laplace transform and energy techniques, this coercivity in the frequency domain is used to prove the stability of a fully discrete numerical method in the time domain. The considered numerical method couples finite elements and the leapfrog time-stepping in the interior with boundary elements and convolution quadrature on the boundary. Finally, we present error estimates for the semi- and full discretization.
The development of epilepsy (epileptogenesis) involves a complex interplay of neuronal and immune processes. Here, we present a first-of-its-kind mathematical model to better understand the relationships among these processes. Our model describes the interaction between neuroinflammation, blood-brain barrier disruption, neuronal loss, circuit remodeling, and seizures. Formulated as a system of nonlinear differential equations, the model reproduces the available data from three animal models. The model successfully describes characteristic features of epileptogenesis such as its paradoxically long timescales (up to decades) despite short and transient injuries or the existence of qualitatively different outcomes for varying injury intensity. In line with the concept of degeneracy, our simulations reveal multiple routes toward epilepsy with neuronal loss as a sufficient but non-necessary component. Finally, we show that our model allows for in silico predictions of therapeutic strategies, revealing injury-specific therapeutic targets and optimal time windows for intervention.
AttendAffectNet-emotion prediction of movie viewers using multimodal fusion with self-attention
(2021)
In this paper, we tackle the problem of predicting the affective responses of movie viewers, based on the content of the movies. Current studies on this topic focus on video representation learning and fusion techniques to combine the extracted features for predicting affect. Yet, these typically, while ignoring the correlation between multiple modality inputs, ignore the correlation between temporal inputs (i.e., sequential features). To explore these correlations, a neural network architecture—namely AttendAffectNet (AAN)—uses the self-attention mechanism for predicting the emotions of movie viewers from different input modalities. Particularly, visual, audio, and text features are considered for predicting emotions (and expressed in terms of valence and arousal). We analyze three variants of our proposed AAN: Feature AAN, Temporal AAN, and Mixed AAN. The Feature AAN applies the self-attention mechanism in an innovative way on the features extracted from the different modalities (including video, audio, and movie subtitles) of a whole movie to, thereby, capture the relationships between them. The Temporal AAN takes the time domain of the movies and the sequential dependency of affective responses into account. In the Temporal AAN, self-attention is applied on the concatenated (multimodal) feature vectors representing different subsequent movie segments. In the Mixed AAN, we combine the strong points of the Feature AAN and the Temporal AAN, by applying self-attention first on vectors of features obtained from different modalities in each movie segment and then on the feature representations of all subsequent (temporal) movie segments. We extensively trained and validated our proposed AAN on both the MediaEval 2016 dataset for the Emotional Impact of Movies Task and the extended COGNIMUSE dataset. Our experiments demonstrate that audio features play a more influential role than those extracted from video and movie subtitles when predicting the emotions of movie viewers on these datasets. The models that use all visual, audio, and text features simultaneously as their inputs performed better than those using features extracted from each modality separately. In addition, the Feature AAN outperformed other AAN variants on the above-mentioned datasets, highlighting the importance of taking different features as context to one another when fusing them. The Feature AAN also performed better than the baseline models when predicting the valence dimension.
Linking mathematics with reality is not new. It is also not new to use outdoor activities to learn mathematics. It seems to be new, to combine such mathematical outdoor activities with mobile technology, like the geocache community which makes use of GPS technology to guide their members to special places and points of interest. The use of mobile technologies to learn at any time and any location is known as “mobile learning”. This type of learning can be seen as an extension of eLearning. Considering the definition of O’Malley one notices that this definition does not exactly match with the idea of the MathCityMap-Project (MCM), because the learning environment in the MCM-Project is predetermined. Combined with the math trail method the project enables mobile learning within math trails with latest technology.In the MCM-Project students experience mathematics at real places and within real situations in out-of-school activities,with help of GPS-enabled smartphones and special math problems. In contrast to the paper versions of math trails we are able to give direct feedback on the solutions by using “mobile devices” such as smartphones or tablets. If the user has difficulties in solving the modeling task, stepped hints can be provided. The teacher is able to use the MCM-Portal to upload tasks developed by himself or by his students and he is also able to build a personal math trail for his students.
The single-source shortest-path problem is a fundamental problem in computer science. We consider a generalization of the shortest-path problem, the $k$-shortest path problem. Let $G$ be a directed edge-weighted graph with $n$ nodes and $m$ edges and $s,t$ be two fixed nodes. The goal is to compute $k$ paths $P_1,\dots,P_k$ between two fixed nodes $s$ and $t$ in non-decreasing order of their length such that all other paths between $s$ and $t$ are at least as long as the $k$\nth path $P_k$. We focus on the version of the $k$-shortest path problem where the paths are not allowed to visit nodes multiple times, sometime referred to as $k$-shortest simple path problem.
The probably best known $k$-shortest path algorithm is Yen's algorithm. It has a worst-case time complexity of O(kn\cdot scp(n,m)), where scp(n,m) is the complexity of the single-source shortest-path algorithm used as a subroutine. In case of Dijkstra's algorithm scp(n,m) is O(m + n\log n). One of the more recent improvements of Yen's algorithm is by Feng.
Even though Feng's algorithm is much faster in practice, it has the same worst-case complexity as Yen's algorithm.
The main results presented in this thesis are upper bounds on the average-case of Yen's and Feng's algorithm, as well as practical improvements and a parallel implementation of Yen's and Feng's algorithms including these improvements. The implementation is publicly available under GPLv3 open source license.
We show in our analysis that Yen's algorithm has an average-case complexity of O(k \log(n)\cdot scp(n,m)) on G(n,p) graphs with at least logarithmic average-degree and random edge weights following a distribution with certain properties.
On G(n,p) graphs with constant to logarithmic average-degree and uniform random edge-weights over $[0;1]$, we show an average-case complexity of O(k\cdot\frac{\log^2 n}{np}\cdot scp(n,m)). Feng's algorithm has an even better average-case complexity of O(k\cdot scp(n,m)) on unweighted G(n,p) graphs with logarithmic average-degree and for constant values of $k$. We further provide evidence that the same holds true for G(n,p) graphs with uniform random edge-weights over $[0;1]$.
On the practical side, we suggest new heuristics to prune even more single-source shortest-path computations than Feng's algorithm and evaluate all presented algorithms on G(n,p) and Grid graphs with up to 256 million nodes. We demonstrate speedups by a factor of up to 40 compared to Feng's algorithm.
Finally we discuss two ways to parallelize the suggested algorithms and evaluate them on grid graphs showing speedups by a factor of 2 using 4 threads and by a factor of up to 8 using 16 threads, respectively.
Cyber Physical Systems (CPS) are growing more and more complex due to the availability of cheap hardware, sensors, actuators and communication links. A network of cooperating CPSs (CPN) additionally increases the complexity. This poses challenges as well as it offers chances: the increasing complexity makes it harder to design, operate, optimize and maintain such CPNs. However, on the other side an appropriate use of the increasing resources in computational nodes, sensors, actuators can significantly improve the system performance, reliability and flexibility. Therefore, self-X features like self-organization, self-adaptation and self-healing are key principles for such systems.
Additionally, CPNs are often deployed in dynamic, unpredictable environments and safety-critical domains, such as transportation, energy, and healthcare. In such domains, usually applications of different criticality level exist. In an automotive environment for example, the brake has a higher criticality level regarding safety as the infotainment. As a result of mixed-criticality, applications requiring hard real-time guarantees compete with those requiring soft real-time guarantees and best-effort application for the given resources within the overall system. This leads to the need to accommodate multiple levels of criticality while ensuring safety and reliability, which increases the already high complexity even more.
This thesis deals with the question on how to conveniently, effectively and efficiently handle the management and complexity of mixed-critical CPNs (MC-CPNs). Since this cannot be done by the system developer without the assistance of the system itself any longer, it is essential to develop new approaches and techniques to ensure that such systems can operate under a range of conditions while meeting stringent requirements.
Based on five research hypothesis, this thesis introduces a comprehensive adaptive mixed-criticality supporting middleware for Cyber-Physical Networks (Chameleon), which efficiently and autonomously takes care of the management and complexity of CPNs with regard to the mixed-criticality aspect.
Chameleon contributes to the state-of-art by introducing and combining the following concepts:
- A comprehensive self-adaption mechanism on all levels of the system model is provided.
- This mechanism allows a flexible combination of parametric and structural adaptation actions (relocation, scheduling, tuning, ...) to modify the behavior of the system.
- Real-time constraints of mixed-critical applications (hard real-time, soft real-time, best-effort) are considered in all possible adaptation conditions and actions by the use of the importance parameter.
- CPNs are supported by the introduction of different scopes (local, system, global) for the adaptation conditions and actions. This also enables the combination of different scopes for conditions and actions.
- The realization of the adaptation with a MAPE-K loop instantiated by a distributed LCS allows for real-time capable reasoning of adaptation actions which also works on resource-spare systems.
- The developed rule language Rango offers an intuitive way to specify an initial rule set for LCS in the context of CPS/CPNs and supports the system administrators in the process of rule set generation.