TY - CHAP A1 - Conti, Fosca A1 - Liu, E A1 - Bhogaraju, Sri Krishna A1 - Lenz, Christoph A1 - Seitz, Roland A1 - Elger, Gordon T1 - Stress evaluations of silicon nitride chips bonded onto copper substrates via SAC soldering, AuSn soldering, and copper sintering T2 - 2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC) UR - https://doi.org/10.1109/THERMINIC49743.2020.9420523 KW - Creep KW - Thermomechanical processes KW - Silicon nitride KW - Copper KW - Plastics KW - Microstructure KW - Soldering Y1 - 2021 UR - https://doi.org/10.1109/THERMINIC49743.2020.9420523 SN - 978-1-7281-7643-7 SP - 204 EP - 208 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gabor, Thomas A1 - Sünkel, Leo A1 - Ritz, Fabian A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Roch, Christoph A1 - Feld, Sebastian A1 - Linnhoff-Popien, Claudia T1 - The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline T2 - ICSEW'20 : Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops UR - https://doi.org/10.1145/3387940.3391469 KW - quantum computing KW - artificial intelligence KW - software engineering Y1 - 2020 UR - https://doi.org/10.1145/3387940.3391469 SN - 978-1-4503-7963-2 SP - 456 EP - 461 PB - ACM CY - New York ER - TY - CHAP A1 - Conti, Fosca A1 - Lux, Kerstin A1 - Bhogaraju, Sri Krishna A1 - Liu, E A1 - Lenz, Christoph A1 - Seitz, Roland A1 - Elger, Gordon ED - Baldini, Francesco ED - Homola, Jiri ED - Lieberman, Robert A. T1 - Raman spectroscopy to investigate gallium nitride light emitting diodes after assembling onto copper substrates T2 - Optical Sensors 2021 UR - https://doi.org/10.1117/12.2591947 Y1 - 2021 UR - https://doi.org/10.1117/12.2591947 SN - 978-1-5106-4379-6 N1 - Poster + Paper PB - SPIE CY - Bellingham ER - TY - CHAP A1 - Jimenez, Victor A1 - Reyes de los Mozos, Mario A1 - Perea Paños, Pau A1 - Fritzsche, Paula Cecilia A1 - Mayer, Kevin A1 - Volkersdorfer, Tina A1 - Hof, Hans-Joachim A1 - Couturier, Christophe A1 - Ernst, Thierry A1 - Zhang, Miao A1 - Saied Mohamed, Mohamed A1 - Rodríguez-Arozamena, Mario A1 - Aranguren-Mendieta, Iñigo A1 - Pérez, Joshué A1 - Jousse, Adrien A1 - Murguia, Carlos A1 - van de Wouw, Nathan A1 - Bellessort, Romain A1 - Salami, Behzad A1 - Jevtić, Aleksandar A1 - Bannour, Boutheina A1 - Rodríguez Recasens, Manel A1 - Ropero, Isaac A1 - Ozbay, Burcu A1 - Eren, Ali A1 - Bektas, Mustafa A1 - Tezcan, Deryanur A1 - Pilz, Christoph A1 - Haas, Sarah A1 - Lenz, Gernot ED - McNally, Ciaran ED - Carroll, Páraic ED - Martinez-Pastor, Beatriz ED - Ghosh, Bidisha ED - Efthymiou, Marina ED - Valantasis-Kanellos, Nikolaos T1 - SELFY - Self Assessment, Protection and Healing Tools for a Trustworthy and Resilient CCAM T2 - Transport Transitions: Advancing Sustainable and Inclusive Mobility, Proceedings of the 10th TRA Conference, 2024 Dublin, Ireland - Volume 6: Connected Mobility Ecosy N2 - SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infrastructure and assets, as well as for citizen’s data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs. UR - https://doi.org/10.1007/978-3-032-06763-0_106 Y1 - 2025 UR - https://doi.org/10.1007/978-3-032-06763-0_106 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66819 SN - 978-3-032-06763-0 SP - 745 EP - 751 PB - Springer CY - Cham ER - TY - CHAP A1 - Jimenez, Victor A1 - Reyes de los Mozos, Mario A1 - Perea Paños, Pau A1 - Fritzsche, Paula Cecilia A1 - Mayer, Kevin A1 - Volkersdorfer, Tina A1 - Hof, Hans-Joachim A1 - Couturier, Christophe A1 - Ernst, Thierry A1 - Zhang, Miao A1 - Saied Mohamed, Mohamed A1 - Rodríguez-Arozamena, Mario A1 - Aranguren-Mendieta, Iñigo A1 - Pérez, Joshué A1 - Jousse, Adrien A1 - Murguia, Carlos A1 - van de Wouw, Nathan A1 - Bellessort, Romain A1 - Salami, Behzad A1 - Jevtić, Aleksandar A1 - Bannour, Boutheina A1 - Rodríguez Recasens, Manel A1 - Ropero, Isaac A1 - Ozbay, Burcu A1 - Eren, Ali A1 - Bektas, Mustafa A1 - Tezcan, Deryanur A1 - Pilz, Christoph A1 - Haas, Sarah A1 - Lenz, Gernot T1 - SELFY - Self Assessment, Protection & Healing Tools for a Trustworthy and Resilient CCAM T2 - Proceedings of the Transport Research Arena (TRA2024) Conference N2 - SELFY envisions an agnostic toolbox for the self-management of se-curity and resilience of the CCAM (Connected, Cooperative and Automated Mo-bility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-heal-ing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collabo-rative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infra-structure and assets, as well as for citizen's data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative en-vironment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity as-pect of CCAMs. UR - https://doi.org/10.5281/zenodo.10978183 Y1 - 2024 UR - https://doi.org/10.5281/zenodo.10978183 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-53724 PB - Zenodo CY - Genf ER -