[{"article_type":"original","keyword":["Intention-behavior gap","Adaptation","Climate Change","Flooding","Heat"],"language":[{"iso":"eng"}],"_id":"58473","user_id":"98922","abstract":[{"lang":"eng","text":"Using a large unique longitudinal survey data set from Germany covering more than 5,000 households, we analyze stated intentions and actual implementations of both flood-proofing and heat stress reduction measures to assess the intention behavior gap (IBG) in climate change adaptation. Our results do not only reveal a substantial IBG for most stated intentions, but also show their limits in serving as a good predictor for realized actions later. Moreover, the IBG itself can hardly be explained by observable household data characteristics. While we do find some similarities in explanatory variables affecting both intentions and implementations, these variables provide only little insights into the actual levels of implemented actions. In line with regret theory, the IBG in our data can be partly explained by anticipated regret caused by a feeling of having invested in vain in cases where adaptation measures are installed, but extreme weather events do not occur for the time being. Our results are informative for adaptation-related communication campaigns and public policy interventions, especially in the aftermath of natural disasters."}],"status":"public","type":"journal_article","publication":"Ecological Economics ","title":"The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data","date_updated":"2025-02-03T12:04:07Z","date_created":"2025-01-31T14:20:46Z","author":[{"first_name":"Daniel","last_name":"Osberghaus","full_name":"Osberghaus, Daniel"},{"first_name":"Wouter","full_name":"Botzen, Wouter","last_name":"Botzen"},{"first_name":"Martin","full_name":"Kesternich, Martin","id":"98922","orcid":"0000-0002-0653-7680","last_name":"Kesternich"}],"year":"2025","citation":{"ieee":"D. Osberghaus, W. Botzen, and M. Kesternich, “The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data,” <i>Ecological Economics </i>, 2025.","chicago":"Osberghaus, Daniel, Wouter Botzen, and Martin Kesternich. “The Intention-Behavior Gap in Climate Change Adaptation: Evidence from Longitudinal Survey Data.” <i>Ecological Economics </i>, 2025.","ama":"Osberghaus D, Botzen W, Kesternich M. The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data. <i>Ecological Economics </i>. Published online 2025.","apa":"Osberghaus, D., Botzen, W., &#38; Kesternich, M. (2025). The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data. <i>Ecological Economics </i>.","mla":"Osberghaus, Daniel, et al. “The Intention-Behavior Gap in Climate Change Adaptation: Evidence from Longitudinal Survey Data.” <i>Ecological Economics </i>, 2025.","bibtex":"@article{Osberghaus_Botzen_Kesternich_2025, title={The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data}, journal={Ecological Economics }, author={Osberghaus, Daniel and Botzen, Wouter and Kesternich, Martin}, year={2025} }","short":"D. Osberghaus, W. Botzen, M. Kesternich, Ecological Economics  (2025)."}},{"department":[{"_id":"58"}],"user_id":"38254","_id":"62643","language":[{"iso":"eng"}],"keyword":["Integrated circuit modeling","Capacitance","Silicon","Modulation","Adaptation models","Semiconductor device modeling","Bandwidth","Data communication","electrooptical transmitter","equalization","free-carrier-plasma dispersion effect","modelling","optical modulator","phase shifter","silicon photonics"],"publication":"Journal of Lightwave Technology","type":"journal_article","status":"public","volume":43,"date_created":"2025-11-27T07:14:34Z","author":[{"first_name":"Tobias","id":"39217","full_name":"Schwabe, Tobias","last_name":"Schwabe"},{"first_name":"Christian","id":"13256","full_name":"Kress, Christian","orcid":"0000-0002-4403-2237","last_name":"Kress"},{"first_name":"Stephan","last_name":"Kruse","id":"38254","full_name":"Kruse, Stephan"},{"first_name":"Maxim","full_name":"Weizel, Maxim","id":"44271","last_name":"Weizel","orcid":"0000-0003-2699-9839"},{"first_name":"Hanjo","full_name":"Rhee, Hanjo","last_name":"Rhee"},{"last_name":"Scheytt","orcid":"0000-0002-5950-6618 ","id":"37144","full_name":"Scheytt, J. Christoph","first_name":"J. Christoph"}],"date_updated":"2025-11-27T07:16:01Z","doi":"10.1109/JLT.2024.3450949","title":"Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology","issue":"1","page":"255-270","intvolume":"        43","citation":{"apa":"Schwabe, T., Kress, C., Kruse, S., Weizel, M., Rhee, H., &#38; Scheytt, J. C. (2025). Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology. <i>Journal of Lightwave Technology</i>, <i>43</i>(1), 255–270. <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">https://doi.org/10.1109/JLT.2024.3450949</a>","short":"T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, J.C. Scheytt, Journal of Lightwave Technology 43 (2025) 255–270.","bibtex":"@article{Schwabe_Kress_Kruse_Weizel_Rhee_Scheytt_2025, title={Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology}, volume={43}, DOI={<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>}, number={1}, journal={Journal of Lightwave Technology}, author={Schwabe, Tobias and Kress, Christian and Kruse, Stephan and Weizel, Maxim and Rhee, Hanjo and Scheytt, J. Christoph}, year={2025}, pages={255–270} }","mla":"Schwabe, Tobias, et al. “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.” <i>Journal of Lightwave Technology</i>, vol. 43, no. 1, 2025, pp. 255–70, doi:<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>.","ieee":"T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, and J. C. Scheytt, “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology,” <i>Journal of Lightwave Technology</i>, vol. 43, no. 1, pp. 255–270, 2025, doi: <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>.","chicago":"Schwabe, Tobias, Christian Kress, Stephan Kruse, Maxim Weizel, Hanjo Rhee, and J. Christoph Scheytt. “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.” <i>Journal of Lightwave Technology</i> 43, no. 1 (2025): 255–70. <a href=\"https://doi.org/10.1109/JLT.2024.3450949\">https://doi.org/10.1109/JLT.2024.3450949</a>.","ama":"Schwabe T, Kress C, Kruse S, Weizel M, Rhee H, Scheytt JC. Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology. <i>Journal of Lightwave Technology</i>. 2025;43(1):255-270. doi:<a href=\"https://doi.org/10.1109/JLT.2024.3450949\">10.1109/JLT.2024.3450949</a>"},"year":"2025"},{"publisher":"IEEE","date_created":"2022-02-15T07:32:10Z","title":"Model-driven Continuous Experimentation on Component-based Software Architectures ","year":"2022","ddc":["000"],"keyword":["continuous experimentation","model-driven","component-based software architectures","self-adaptation"],"language":[{"iso":"eng"}],"publication":"Proceedings of the 18th International Conference on Software Architecture Companion ","abstract":[{"lang":"eng","text":"To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework."}],"file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2022-07-04T12:34:52Z","creator":"sego","date_created":"2022-07-04T12:33:18Z","file_size":183185,"access_level":"open_access","file_name":"ICSA_CR.pdf","file_id":"32322"}],"date_updated":"2022-07-04T12:34:53Z","oa":"1","author":[{"first_name":"Sebastian","last_name":"Gottschalk","id":"47208","full_name":"Gottschalk, Sebastian"},{"first_name":"Enes","orcid":"0000-0002-5967-833X","last_name":"Yigitbas","id":"8447","full_name":"Yigitbas, Enes"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"}],"doi":"10.1109/ICSA-C54293.2022.00011","conference":{"location":"Hawaii","end_date":"2022-03-15","start_date":"2022-03-12","name":"18th International Conference on Software Architecture "},"has_accepted_license":"1","citation":{"apa":"Gottschalk, S., Yigitbas, E., &#38; Engels, G. (2022). Model-driven Continuous Experimentation on Component-based Software Architectures . <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. 18th International Conference on Software Architecture , Hawaii. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>","bibtex":"@inproceedings{Gottschalk_Yigitbas_Engels_2022, title={Model-driven Continuous Experimentation on Component-based Software Architectures }, DOI={<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>}, booktitle={Proceedings of the 18th International Conference on Software Architecture Companion }, publisher={IEEE}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, year={2022} }","short":"S. Gottschalk, E. Yigitbas, G. Engels, in: Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022.","mla":"Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>.","ieee":"S. Gottschalk, E. Yigitbas, and G. Engels, “Model-driven Continuous Experimentation on Component-based Software Architectures ,” presented at the 18th International Conference on Software Architecture , Hawaii, 2022, doi: <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>.","chicago":"Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” In <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>.","ama":"Gottschalk S, Yigitbas E, Engels G. Model-driven Continuous Experimentation on Component-based Software Architectures . In: <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>"},"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C5: SFB 901 - Subproject C5","_id":"17"}],"_id":"29842","user_id":"47208","department":[{"_id":"66"},{"_id":"534"}],"file_date_updated":"2022-07-04T12:34:52Z","type":"conference","status":"public"},{"project":[{"_id":"378","name":"DigHomE: DigHomE: Digital Home Learning Environment – Gelingensbedingungen elterlicher Unterstützung bei der informationsorientierten Internetnutzung","grant_number":"01JD1814A"}],"_id":"32565","user_id":"78797","department":[{"_id":"427"}],"keyword":["Family environment","Family system","Adolescents","Social adaptation","Systematic review"],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Adolescent Research Review","abstract":[{"lang":"eng","text":"The family plays an important role in adolescents’ social development. Yet there is little information about the impact of family climate on adolescents’ social adaptation, and the term “family climate” is seldom clearly defined and is usually related to other concepts, such as family systems or family environments. To understand the core of family climate, this study conducted a systematic review to analyze research about family climate associated with adolescents’ social adaptation in community samples. A search of empirical research published over the last 20 years identified 12 relevant studies. The studies revealed that family climate can mainly be described in terms of cohesion, conflict, organization, adaptability, and expressiveness. Family climate was shown to be a good predictor of both problem-solving skills and violence in relationships and exhibited further associations with other aspects of social adaptation. This review revealed a need for more systematic and longitudinal research on family climate in community samples."}],"status":"public","date_updated":"2023-12-20T13:37:55Z","publisher":"Springer Science and Business Media LLC","oa":"1","author":[{"full_name":"Kurock, Ricarda","id":"78797","last_name":"Kurock","first_name":"Ricarda"},{"last_name":"Gruchel","id":"38556","full_name":"Gruchel, Nicole","first_name":"Nicole"},{"first_name":"Sabrina","full_name":"Bonanati, Sabrina","last_name":"Bonanati"},{"first_name":"Heike M.","id":"27152","full_name":"Buhl, Heike M.","last_name":"Buhl"}],"date_created":"2022-08-03T06:10:07Z","title":"Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review","main_file_link":[{"open_access":"1","url":"https://link.springer.com/content/pdf/10.1007/s40894-022-00189-2.pdf"}],"doi":"10.1007/s40894-022-00189-2","publication_status":"published","publication_identifier":{"issn":["2363-8346","2363-8354"]},"year":"2022","citation":{"apa":"Kurock, R., Gruchel, N., Bonanati, S., &#38; Buhl, H. M. (2022). Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review. <i>Adolescent Research Review</i>. <a href=\"https://doi.org/10.1007/s40894-022-00189-2\">https://doi.org/10.1007/s40894-022-00189-2</a>","short":"R. Kurock, N. Gruchel, S. Bonanati, H.M. Buhl, Adolescent Research Review (2022).","bibtex":"@article{Kurock_Gruchel_Bonanati_Buhl_2022, title={Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review}, DOI={<a href=\"https://doi.org/10.1007/s40894-022-00189-2\">10.1007/s40894-022-00189-2</a>}, journal={Adolescent Research Review}, publisher={Springer Science and Business Media LLC}, author={Kurock, Ricarda and Gruchel, Nicole and Bonanati, Sabrina and Buhl, Heike M.}, year={2022} }","mla":"Kurock, Ricarda, et al. “Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review.” <i>Adolescent Research Review</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s40894-022-00189-2\">10.1007/s40894-022-00189-2</a>.","ieee":"R. Kurock, N. Gruchel, S. Bonanati, and H. M. Buhl, “Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review,” <i>Adolescent Research Review</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s40894-022-00189-2\">10.1007/s40894-022-00189-2</a>.","chicago":"Kurock, Ricarda, Nicole Gruchel, Sabrina Bonanati, and Heike M. Buhl. “Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review.” <i>Adolescent Research Review</i>, 2022. <a href=\"https://doi.org/10.1007/s40894-022-00189-2\">https://doi.org/10.1007/s40894-022-00189-2</a>.","ama":"Kurock R, Gruchel N, Bonanati S, Buhl HM. Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review. <i>Adolescent Research Review</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s40894-022-00189-2\">10.1007/s40894-022-00189-2</a>"}},{"publication":"Transactions on Network and Service Management","type":"journal_article","status":"public","file":[{"description":"Author version of the accepted paper","file_size":4172270,"file_name":"ris-accepted-version.pdf","access_level":"open_access","file_id":"21809","date_updated":"2021-04-27T08:01:26Z","creator":"stschn","date_created":"2021-04-27T08:01:26Z","relation":"main_file","content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"Modern services consist of interconnected components,e.g., microservices in a service mesh or machine learning functions in a pipeline. These services can scale and run across multiple network nodes on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities, changing demands, and Quality of Service (QoS) requirements into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm on how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput (up to 76%) and overall network utility (more than 2x) on realworld network topologies and traffic traces. It also supports optimizing multiple, possibly competing objectives, learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic traffic, and scales to large real-world networks. For reproducibility and reuse, our code is publicly available."}],"department":[{"_id":"75"}],"user_id":"35343","_id":"21808","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"language":[{"iso":"eng"}],"file_date_updated":"2021-04-27T08:01:26Z","keyword":["network management","service management","coordination","reinforcement learning","self-learning","self-adaptation","multi-objective"],"article_type":"original","ddc":["000"],"has_accepted_license":"1","citation":{"ieee":"S. B. Schneider <i>et al.</i>, “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” <i>Transactions on Network and Service Management</i>, 2021.","chicago":"Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network and Service Management</i>, 2021. <a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">https://doi.org/10.1109/TNSM.2021.3076503</a>.","ama":"Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. <i>Transactions on Network and Service Management</i>. 2021. doi:<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>","mla":"Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” <i>Transactions on Network and Service Management</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>.","short":"S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).","bibtex":"@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={<a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">10.1109/TNSM.2021.3076503</a>}, journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }","apa":"Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &#38; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. <i>Transactions on Network and Service Management</i>. <a href=\"https://doi.org/10.1109/TNSM.2021.3076503\">https://doi.org/10.1109/TNSM.2021.3076503</a>"},"year":"2021","author":[{"full_name":"Schneider, Stefan Balthasar","id":"35343","orcid":"0000-0001-8210-4011","last_name":"Schneider","first_name":"Stefan Balthasar"},{"last_name":"Khalili","full_name":"Khalili, Ramin","first_name":"Ramin"},{"first_name":"Adnan","last_name":"Manzoor","full_name":"Manzoor, Adnan"},{"full_name":"Qarawlus, Haydar","last_name":"Qarawlus","first_name":"Haydar"},{"last_name":"Schellenberg","full_name":"Schellenberg, Rafael","first_name":"Rafael"},{"first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger","id":"126"},{"first_name":"Artur","full_name":"Hecker, Artur","last_name":"Hecker"}],"date_created":"2021-04-27T08:04:16Z","oa":"1","date_updated":"2022-01-06T06:55:15Z","publisher":"IEEE","doi":"10.1109/TNSM.2021.3076503","title":"Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning"},{"file":[{"file_name":"preprint.pdf","file_id":"33855","access_level":"open_access","file_size":2521656,"date_created":"2022-10-20T16:41:10Z","creator":"stschn","date_updated":"2022-10-20T16:41:10Z","relation":"main_file","content_type":"application/pdf"}],"status":"public","abstract":[{"text":"Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches.","lang":"eng"}],"type":"working_paper","language":[{"iso":"eng"}],"file_date_updated":"2022-10-20T16:41:10Z","ddc":["004"],"keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"user_id":"477","department":[{"_id":"75"}],"project":[{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"_id":"1","name":"SFB 901: SFB 901"}],"_id":"33854","citation":{"apa":"Schneider, S. B., Karl, H., Khalili, R., &#38; Hecker, A. (2021). <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.","short":"S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","bibtex":"@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>, 2021.","ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","ama":"Schneider SB, Karl H, Khalili R, Hecker A. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.; 2021."},"year":"2021","has_accepted_license":"1","title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","date_created":"2022-10-20T16:44:19Z","author":[{"last_name":"Schneider","orcid":"0000-0001-8210-4011","id":"35343","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar"},{"first_name":"Holger","full_name":"Karl, Holger","id":"126","last_name":"Karl"},{"last_name":"Khalili","full_name":"Khalili, Ramin","first_name":"Ramin"},{"first_name":"Artur","last_name":"Hecker","full_name":"Hecker, Artur"}],"date_updated":"2022-11-18T09:59:27Z","oa":"1"},{"date_updated":"2022-01-06T06:53:28Z","oa":"1","author":[{"first_name":"Sebastian","id":"47208","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk"},{"first_name":"Enes","id":"8447","full_name":"Yigitbas, Enes","orcid":"0000-0002-5967-833X","last_name":"Yigitbas"},{"last_name":"Schmidt","full_name":"Schmidt, Eugen","first_name":"Eugen"},{"first_name":"Gregor","last_name":"Engels","id":"107","full_name":"Engels, Gregor"}],"volume":12481,"doi":"10.1007/978-3-030-64266-2_5","conference":{"end_date":"2020-12-02","location":"Eindhoven","name":"8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","start_date":"2020-11-30"},"publication_status":"published","has_accepted_license":"1","place":"Cham","citation":{"ama":"Gottschalk S, Yigitbas E, Schmidt E, Engels G. Model-based Product Configuration in Augmented Reality Applications. In: Bernhaupt R, Ardito C, Sauer S, eds. <i>Human-Centered Software Engineering. HCSE 2020</i>. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>","chicago":"Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “Model-Based Product Configuration in Augmented Reality Applications.” In <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">https://doi.org/10.1007/978-3-030-64266-2_5</a>.","ieee":"S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “Model-based Product Configuration in Augmented Reality Applications,” in <i>Human-Centered Software Engineering. HCSE 2020</i>, Eindhoven, 2020, vol. 12481.","apa":"Gottschalk, S., Yigitbas, E., Schmidt, E., &#38; Engels, G. (2020). Model-based Product Configuration in Augmented Reality Applications. In R. Bernhaupt, C. Ardito, &#38; S. Sauer (Eds.), <i>Human-Centered Software Engineering. HCSE 2020</i> (Vol. 12481). Cham: Springer. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">https://doi.org/10.1007/978-3-030-64266-2_5</a>","bibtex":"@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={Model-based Product Configuration in Augmented Reality Applications}, volume={12481}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>}, booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors}, year={2020}, collection={Lecture Notes in Computer Science} }","mla":"Gottschalk, Sebastian, et al. “Model-Based Product Configuration in Augmented Reality Applications.” <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>.","short":"S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020."},"intvolume":"     12481","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"_id":"18249","series_title":"Lecture Notes in Computer Science","user_id":"47208","department":[{"_id":"66"},{"_id":"534"}],"file_date_updated":"2020-11-30T08:36:52Z","type":"conference","editor":[{"first_name":"Regina","full_name":"Bernhaupt, Regina","last_name":"Bernhaupt"},{"full_name":"Ardito, Carmelo","last_name":"Ardito","first_name":"Carmelo"},{"first_name":"Stefan","full_name":"Sauer, Stefan","last_name":"Sauer"}],"status":"public","publisher":"Springer","date_created":"2020-08-25T08:27:38Z","title":"Model-based Product Configuration in Augmented Reality Applications","year":"2020","ddc":["000"],"keyword":["Product Configuration","Augmented Reality","Runtime Adaptation","Dynamic Software Product Lines"],"language":[{"iso":"eng"}],"publication":"Human-Centered Software Engineering. HCSE 2020","abstract":[{"text":"Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-figuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation.","lang":"eng"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_id":"20541","access_level":"open_access","file_name":"HCSE20_full.pdf","file_size":2258601,"date_created":"2020-11-30T08:33:30Z","creator":"sego","date_updated":"2020-11-30T08:36:52Z"}]},{"_id":"16933","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"department":[{"_id":"66"}],"user_id":"47208","file_date_updated":"2020-07-14T09:33:00Z","type":"conference","status":"public","oa":"1","date_updated":"2022-01-06T06:52:59Z","author":[{"first_name":"Sebastian","last_name":"Gottschalk","full_name":"Gottschalk, Sebastian","id":"47208"},{"last_name":"Rittmeier","full_name":"Rittmeier, Florian","id":"5281","first_name":"Florian"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"}],"doi":"10.1109/CBI49978.2020.00022","conference":{"start_date":"2020-06-22","name":"22nd IEEE International Conference on Business Informatics","location":"Antwerp","end_date":"2020-06-24"},"has_accepted_license":"1","citation":{"short":"S. Gottschalk, F. Rittmeier, G. Engels, in: Proceedings of the 22nd IEEE International Conference on Business Informatics, IEEE, 2020.","mla":"Gottschalk, Sebastian, et al. “Hypothesis-Driven Adaptation of Business Models Based on Product Line Engineering.” <i>Proceedings of the 22nd IEEE International Conference on Business Informatics</i>, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/CBI49978.2020.00022\">10.1109/CBI49978.2020.00022</a>.","bibtex":"@inproceedings{Gottschalk_Rittmeier_Engels_2020, title={Hypothesis-driven Adaptation of Business Models based on Product Line Engineering}, DOI={<a href=\"https://doi.org/10.1109/CBI49978.2020.00022\">10.1109/CBI49978.2020.00022</a>}, booktitle={Proceedings of the 22nd IEEE International Conference on Business Informatics}, publisher={IEEE}, author={Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}, year={2020} }","apa":"Gottschalk, S., Rittmeier, F., &#38; Engels, G. (2020). Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In <i>Proceedings of the 22nd IEEE International Conference on Business Informatics</i>. Antwerp: IEEE. <a href=\"https://doi.org/10.1109/CBI49978.2020.00022\">https://doi.org/10.1109/CBI49978.2020.00022</a>","ama":"Gottschalk S, Rittmeier F, Engels G. Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In: <i>Proceedings of the 22nd IEEE International Conference on Business Informatics</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/CBI49978.2020.00022\">10.1109/CBI49978.2020.00022</a>","chicago":"Gottschalk, Sebastian, Florian Rittmeier, and Gregor Engels. “Hypothesis-Driven Adaptation of Business Models Based on Product Line Engineering.” In <i>Proceedings of the 22nd IEEE International Conference on Business Informatics</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/CBI49978.2020.00022\">https://doi.org/10.1109/CBI49978.2020.00022</a>.","ieee":"S. Gottschalk, F. Rittmeier, and G. Engels, “Hypothesis-driven Adaptation of Business Models based on Product Line Engineering,” in <i>Proceedings of the 22nd IEEE International Conference on Business Informatics</i>, Antwerp, 2020."},"keyword":["Business Model Decision Line","Business Model Adaptation","Hypothesis-driven Adaptation","Software Product Line","Feature Model"],"ddc":["006"],"language":[{"iso":"eng"}],"publication":"Proceedings of the 22nd IEEE International Conference on Business Informatics","abstract":[{"text":"The continuous innovation of its business models is an important task for a company to stay competitive. During this process, the company has to validate various hypotheses about its business models by adapting to uncertain and changing customer needs effectively and efficiently. This adaptation, in turn, can be supported by the concept of Software Product Lines (SPLs). SPLs reduce the time to market by deriving products for customers with changing requirements using a common set of features, structured as a feature model. Analogously, we support the process of business model adaptation by applying the engineering process of SPLs to the structure of the Business Model Canvas (BMC). We call this concept a Business Model Decision Line (BMDL). The BMDL matches business domain knowledge in the form of a feature model with customer needs to derive hypotheses about the business model together with experiments for validation. Our approach is effective by providing a comprehensive overview of possible business model adaptations and efficient by reusing experiments for different hypotheses. We implement our approach in a tool and illustrate the usefulness with an example of developing business models for a mobile application.","lang":"eng"}],"file":[{"date_updated":"2020-07-14T09:33:00Z","creator":"sego","date_created":"2020-07-14T09:33:00Z","file_size":569290,"access_level":"open_access","file_id":"17383","file_name":"CBI.pdf","content_type":"application/pdf","relation":"main_file"}],"publisher":"IEEE","date_created":"2020-05-04T12:16:54Z","title":"Hypothesis-driven Adaptation of Business Models based on Product Line Engineering","year":"2020"},{"status":"public","editor":[{"first_name":"Boris","full_name":"Shishkov, Boris","last_name":"Shishkov"}],"type":"conference","file_date_updated":"2020-07-14T09:28:33Z","department":[{"_id":"66"}],"user_id":"47208","series_title":"Lecture Notes in Business Information Processing","_id":"16934","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"intvolume":"       391","page":"276-286","citation":{"apa":"Gottschalk, S., Yigitbas, E., &#38; Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), <i>Business Modeling and Software Design</i> (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-52306-0_18\">https://doi.org/10.1007/978-3-030-52306-0_18</a>","mla":"Gottschalk, Sebastian, et al. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” <i>Business Modeling and Software Design</i>, edited by Boris Shishkov, vol. 391, Springer International Publishing, 2020, pp. 276–86, doi:<a href=\"https://doi.org/10.1007/978-3-030-52306-0_18\">10.1007/978-3-030-52306-0_18</a>.","short":"S. Gottschalk, E. Yigitbas, G. Engels, in: B. Shishkov (Ed.), Business Modeling and Software Design, Springer International Publishing, 2020, pp. 276–286.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Engels_2020, series={Lecture Notes in Business Information Processing}, title={Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs}, volume={391}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-52306-0_18\">10.1007/978-3-030-52306-0_18</a>}, booktitle={Business Modeling and Software Design}, publisher={Springer International Publishing}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, editor={Shishkov, BorisEditor}, year={2020}, pages={276–286}, collection={Lecture Notes in Business Information Processing} }","chicago":"Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs.” In <i>Business Modeling and Software Design</i>, edited by Boris Shishkov, 391:276–86. Lecture Notes in Business Information Processing. Springer International Publishing, 2020. <a href=\"https://doi.org/10.1007/978-3-030-52306-0_18\">https://doi.org/10.1007/978-3-030-52306-0_18</a>.","ieee":"S. Gottschalk, E. Yigitbas, and G. Engels, “Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs,” in <i>Business Modeling and Software Design</i>, Potsdam, 2020, vol. 391, pp. 276–286.","ama":"Gottschalk S, Yigitbas E, Engels G. Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In: Shishkov B, ed. <i>Business Modeling and Software Design</i>. Vol 391. Lecture Notes in Business Information Processing. Springer International Publishing; 2020:276-286. doi:<a href=\"https://doi.org/10.1007/978-3-030-52306-0_18\">10.1007/978-3-030-52306-0_18</a>"},"has_accepted_license":"1","doi":"10.1007/978-3-030-52306-0_18","conference":{"name":"10th International Symposium on Business Modeling and Software Design ","start_date":"2020-07-06","end_date":"2020-07-08","location":"Potsdam"},"volume":391,"author":[{"full_name":"Gottschalk, Sebastian","id":"47208","last_name":"Gottschalk","first_name":"Sebastian"},{"full_name":"Yigitbas, Enes","id":"8447","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","first_name":"Enes"},{"first_name":"Gregor","last_name":"Engels","id":"107","full_name":"Engels, Gregor"}],"oa":"1","date_updated":"2022-01-06T06:52:59Z","file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2020-07-14T09:28:33Z","creator":"sego","date_created":"2020-07-14T09:25:30Z","file_size":267658,"file_name":"BMSD20.pdf","file_id":"17380","access_level":"open_access"}],"abstract":[{"lang":"eng","text":"To build successful products, the developers have to adapt their product features and business models to uncertain customer needs. This adaptation is part of the research discipline of Hypotheses Engineering (HE) where customer needs can be seen as hypotheses that need to be tested iteratively by conducting experiments together with the customer. So far, modeling support and associated traceability of this iterative process are missing. Both, in turn, are important to document the adaptation to the customer needs and identify experiments that provide most evidence to the customer needs. To target this issue, we introduce a model-based HE approach with a twofold contribution: First, we develop a modeling language that models hypotheses and experiments as interrelated hierarchies together with a mapping between them. While the hypotheses are labeled with a score level of their current evidence, the experiments are labeled with a score level of maximum evidence that can be achieved during conduction. Second, we provide an iterative process to determine experiments that offer the most evidence improvement to the modeled hypotheses. We illustrate the usefulness of the approach with an example of testing the business model of a mobile application."}],"publication":"Business Modeling and Software Design","language":[{"iso":"eng"}],"keyword":["Hypothesis Engineering","Model-based","Customer Need Adaptation","Business Model","Product Features"],"ddc":["006"],"year":"2020","title":"Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs","date_created":"2020-05-04T12:27:38Z","publisher":"Springer International Publishing"},{"status":"public","abstract":[{"lang":"eng","text":"Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance."}],"type":"dissertation","language":[{"iso":"eng"}],"keyword":["dependability","reliability","behavior adaptation","self-optimization","multiobjective optimization","optimal control","automotive drivetrain","clutch system","reliability-adaptive system"],"user_id":"210","department":[{"_id":"151"}],"_id":"9994","citation":{"ieee":"T. Meyer, <i>Optimization-based reliability control of mechatronic systems</i>. Shaker, 2018.","chicago":"Meyer, Tobias. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker, 2018.","ama":"Meyer T. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker; 2018.","mla":"Meyer, Tobias. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>. Shaker, 2018.","bibtex":"@book{Meyer_2018, title={Optimization-based reliability control of mechatronic systems}, publisher={Shaker}, author={Meyer, Tobias}, year={2018} }","short":"T. Meyer, Optimization-Based Reliability Control of Mechatronic Systems, Shaker, 2018.","apa":"Meyer, T. (2018). <i>Optimization-based reliability control of mechatronic systems</i>. Shaker."},"year":"2018","title":"Optimization-based reliability control of mechatronic systems","date_created":"2019-05-27T10:21:17Z","author":[{"full_name":"Meyer, Tobias","last_name":"Meyer","first_name":"Tobias"}],"date_updated":"2023-09-15T12:26:09Z","publisher":"Shaker"},{"date_updated":"2022-01-06T06:50:49Z","author":[{"last_name":"Ho","full_name":"Ho, Nam","first_name":"Nam"},{"first_name":"Paul","last_name":"Kaufmann","full_name":"Kaufmann, Paul"},{"id":"398","full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"}],"date_created":"2019-07-10T11:22:59Z","title":"Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor","doi":"10.1109/FPT.2017.8280144","year":"2017","page":"215-218","citation":{"ama":"Ho N, Kaufmann P, Platzner M. Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In: <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>. ; 2017:215-218. doi:<a href=\"https://doi.org/10.1109/FPT.2017.8280144\">10.1109/FPT.2017.8280144</a>","chicago":"Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.” In <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>, 215–18, 2017. <a href=\"https://doi.org/10.1109/FPT.2017.8280144\">https://doi.org/10.1109/FPT.2017.8280144</a>.","ieee":"N. Ho, P. Kaufmann, and M. Platzner, “Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor,” in <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>, 2017, pp. 215–218.","apa":"Ho, N., Kaufmann, P., &#38; Platzner, M. (2017). Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor. In <i>2017 International Conference on Field Programmable Technology (ICFPT)</i> (pp. 215–218). <a href=\"https://doi.org/10.1109/FPT.2017.8280144\">https://doi.org/10.1109/FPT.2017.8280144</a>","bibtex":"@inproceedings{Ho_Kaufmann_Platzner_2017, title={Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor}, DOI={<a href=\"https://doi.org/10.1109/FPT.2017.8280144\">10.1109/FPT.2017.8280144</a>}, booktitle={2017 International Conference on Field Programmable Technology (ICFPT)}, author={Ho, Nam and Kaufmann, Paul and Platzner, Marco}, year={2017}, pages={215–218} }","short":"N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.","mla":"Ho, Nam, et al. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.” <i>2017 International Conference on Field Programmable Technology (ICFPT)</i>, 2017, pp. 215–18, doi:<a href=\"https://doi.org/10.1109/FPT.2017.8280144\">10.1109/FPT.2017.8280144</a>."},"_id":"10676","department":[{"_id":"78"}],"user_id":"398","keyword":["Linux","cache storage","microprocessor chips","multiprocessing systems","LEON3-Linux based multicore processor","MiBench suite","block sizes","cache adaptation","evolvable caches","memory-to-cache-index mapping function","processor caches","reconfigurable cache mapping optimization","reconfigurable hardware technology","replacement strategies","standard Linux OS","time a complete hardware implementation","Hardware","Indexes","Linux","Measurement","Multicore processing","Optimization","Training"],"language":[{"iso":"eng"}],"publication":"2017 International Conference on Field Programmable Technology (ICFPT)","type":"conference","status":"public"},{"language":[{"iso":"eng"}],"keyword":["Services","Websites","Semantic Data","schema.org","Data Conversion","Interface Adaptation","Mediation"],"publication":"2017 IEEE International Conference on Web Services (ICWS)","abstract":[{"text":"Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data, schema.org, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.","lang":"eng"}],"date_created":"2018-11-26T11:49:31Z","publisher":"IEEE","title":"Linking Services to Websites by Leveraging Semantic Data","year":"2017","department":[{"_id":"66"}],"user_id":"11871","_id":"5829","type":"conference","status":"public","editor":[{"first_name":"Ilkay","last_name":"Altintas","full_name":"Altintas, Ilkay"},{"first_name":"Shiping","full_name":"Chen, Shiping","last_name":"Chen"}],"author":[{"last_name":"Wolters","id":"11308","full_name":"Wolters, Dennis","first_name":"Dennis"},{"first_name":"Stefan","id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865"},{"last_name":"Kirchhoff","id":"39928","full_name":"Kirchhoff, Jonas","first_name":"Jonas"},{"last_name":"Engels","full_name":"Engels, Gregor","id":"107","first_name":"Gregor"}],"date_updated":"2022-10-15T20:01:55Z","oa":"1","doi":"10.1109/icws.2017.80","main_file_link":[{"open_access":"1","url":"https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf"}],"publication_identifier":{"isbn":["9781538607527"]},"publication_status":"published","citation":{"ama":"Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites by Leveraging Semantic Data. In: Altintas I, Chen S, eds. <i>2017 IEEE International Conference on Web Services (ICWS)</i>. IEEE; 2017. doi:<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>","chicago":"Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking Services to Websites by Leveraging Semantic Data.” In <i>2017 IEEE International Conference on Web Services (ICWS)</i>, edited by Ilkay Altintas and Shiping Chen. IEEE, 2017. <a href=\"https://doi.org/10.1109/icws.2017.80\">https://doi.org/10.1109/icws.2017.80</a>.","ieee":"D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to Websites by Leveraging Semantic Data,” in <i>2017 IEEE International Conference on Web Services (ICWS)</i>, 2017, doi: <a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>.","apa":"Wolters, D., Heindorf, S., Kirchhoff, J., &#38; Engels, G. (2017). Linking Services to Websites by Leveraging Semantic Data. In I. Altintas &#38; S. Chen (Eds.), <i>2017 IEEE International Conference on Web Services (ICWS)</i>. IEEE. <a href=\"https://doi.org/10.1109/icws.2017.80\">https://doi.org/10.1109/icws.2017.80</a>","bibtex":"@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services to Websites by Leveraging Semantic Data}, DOI={<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>}, booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE}, author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels, Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }","short":"D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen (Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.","mla":"Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic Data.” <i>2017 IEEE International Conference on Web Services (ICWS)</i>, edited by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:<a href=\"https://doi.org/10.1109/icws.2017.80\">10.1109/icws.2017.80</a>."}},{"citation":{"bibtex":"@inproceedings{Heymann_Haeb-Umbach_Golik_Schlueter_2015, title={Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>}, booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on}, author={Heymann, Jahn and Haeb-Umbach, Reinhold and Golik, P. and Schlueter, R.}, year={2015}, pages={5053–5057} }","mla":"Heymann, Jahn, et al. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 2015, pp. 5053–57, doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>.","short":"J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.","apa":"Heymann, J., Haeb-Umbach, R., Golik, P., &#38; Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i> (pp. 5053–5057). <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>","chicago":"Heymann, Jahn, Reinhold Haeb-Umbach, P. Golik, and R. Schlueter. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 5053–57, 2015. <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>.","ieee":"J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions,” in <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i>, 2015, pp. 5053–5057.","ama":"Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>. ; 2015:5053-5057. doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>"},"page":"5053-5057","year":"2015","author":[{"first_name":"Jahn","full_name":"Heymann, Jahn","id":"9168","last_name":"Heymann"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"first_name":"P.","last_name":"Golik","full_name":"Golik, P."},{"first_name":"R.","last_name":"Schlueter","full_name":"Schlueter, R."}],"date_created":"2019-07-12T05:28:45Z","oa":"1","date_updated":"2022-01-06T06:51:09Z","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/hey_icassp_2015.pdf"}],"doi":"10.1109/ICASSP.2015.7178933","title":"Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions","type":"conference","publication":"Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on","status":"public","abstract":[{"text":"The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different conditions by an appropriate parameter setting, while the latter needs to be trained on conditions similar to the ones expected at decoding time, making it vulnerable to a mismatch between training and test conditions. We use a DNN backend and study reverberant ASR under three types of mismatch conditions: different room reverberation times, different speaker to microphone distances and the difference between artificially reverberated data and the recordings in a reverberant environment. We show that for these mismatch conditions BFE can provide the targets for a DA. This unsupervised adaptation provides a performance gain over the direct use of BFE and even enables to compensate for the mismatch of real and simulated reverberant data.","lang":"eng"}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11813","language":[{"iso":"eng"}],"keyword":["codecs","signal denoising","speech recognition","Bayesian feature enhancement","denoising autoencoder","reverberant ASR","single-channel speech recognition","speaker to microphone distances","unsupervised adaptation","Adaptation models","Noise reduction","Reverberation","Speech","Speech recognition","Training","deep neuronal networks","denoising autoencoder","feature enhancement","robust speech recognition"]},{"year":"2014","citation":{"ama":"Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter with model parameter adaptation. In: <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>. ; 2014:1-6. doi:<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>","chicago":"Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” In <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>, 1–6, 2014. <a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">https://doi.org/10.1109/ICPHM.2014.7036406</a>.","ieee":"J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle filter with model parameter adaptation,” in <i>Prognostics and Health Management (PHM), 2014 IEEE Conference on</i>, 2014, pp. 1–6.","short":"J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.","mla":"Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter with Model Parameter Adaptation.” <i>Prognostics and Health Management (PHM), 2014 IEEE Conference On</i>, 2014, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>.","bibtex":"@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics using particle filter with model parameter adaptation}, DOI={<a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">10.1109/ICPHM.2014.7036406</a>}, booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on}, author={Kimotho, James Kuria  and Meyer, Tobias and Sextro, Walter}, year={2014}, pages={1–6} }","apa":"Kimotho, J. K., Meyer, T., &#38; Sextro, W. (2014). PEM fuel cell prognostics using particle filter with model parameter adaptation. In <i>Prognostics and Health Management (PHM), 2014 IEEE Conference on</i> (pp. 1–6). <a href=\"https://doi.org/10.1109/ICPHM.2014.7036406\">https://doi.org/10.1109/ICPHM.2014.7036406</a>"},"page":"1-6","title":"PEM fuel cell prognostics using particle filter with model parameter adaptation","doi":"10.1109/ICPHM.2014.7036406","date_updated":"2019-05-20T13:12:27Z","author":[{"first_name":"James Kuria ","full_name":"Kimotho, James Kuria ","last_name":"Kimotho"},{"last_name":"Meyer","full_name":"Meyer, Tobias","first_name":"Tobias"},{"id":"21220","full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"date_created":"2019-05-20T13:11:02Z","abstract":[{"lang":"eng","text":"Application of prognostics and health management (PHM) in the field of Proton Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing the reliability and availability of these systems. Though a lot of work is currently being conducted to develop PHM systems for fuel cells, various challenges have been encountered including the self-healing effect after characterization as well as accelerated degradation due to dynamic loading, all which make RUL predictions a difficult task. In this study, a prognostic approach based on adaptive particle filter algorithm is proposed. The novelty of the proposed method lies in the introduction of a self-healing factor after each characterization and the adaption of the degradation model parameters to fit to the changing degradation trend. An ensemble of five different state models based on weighted mean is then developed. The results show that the method is effective in estimating the remaining useful life of PEM fuel cells, with majority of the predictions falling within 5\\% error. The method was employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the winner of the RUL category of the challenge."}],"status":"public","type":"conference","publication":"Prognostics and Health Management (PHM), 2014 IEEE Conference on","keyword":["ageing","particle filtering (numerical methods)","proton exchange membrane fuel cells","remaining life assessment","PEM fuel cell prognostics","PHM","RUL predictions","accelerated degradation","adaptive particle filter algorithm","dynamic loading","model parameter adaptation","prognostics and health management","proton exchange membrane fuel cells","remaining useful life estimation","self-healing effect","Adaptation models","Data models","Degradation","Estimation","Fuel cells","Mathematical model","Prognostics and health management"],"language":[{"iso":"eng"}],"_id":"9879","user_id":"55222","department":[{"_id":"151"}]},{"type":"journal_article","publication":"Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence","abstract":[{"lang":"eng","text":"Intelligent mechatronic systems, such as self-optimizing systems, allow an adaptation of the system behavior at runtime based on the current situation. To do so, they generally select among several pre-defined working points. A common method to determine working points for a mechatronic system is to use model-based multiobjective optimization. It allows finding compromises among conflicting objectives, called objective functions, by adapting parameters. To evaluate the system behavior for different parameter sets, a model of the system behavior is included in the objective functions and is evaluated during each function call. Intelligent mechatronic systems also have the ability to adapt their behavior based on their current reliability, thus increasing their availability, or on changed safety requirements; all of which are summed up by the common term dependability. To allow this adaptation, dependability can be considered in multiobjective optimization by including dependability-related objective functions. However, whereas performance-related objective functions are easily found, formulation of dependability-related objective functions is highly system-specific and not intuitive, making it complex and error-prone. Since each mechatronic system is different, individual failure modes have to be taken into account, which need to be found using common methods such as Failure-Modes and Effects Analysis or Fault Tree Analysis. Using component degradation models, which again are specific to the system at hand, the main loading factors can be determined. By including these in the model of the system behavior, the relation between working point and dependability can be formulated as an objective function. In our work, this approach is presented in more detail. It is exemplified using an actively actuated single plate dry clutch system. Results show that this approach is suitable for formulating dependability-related objective functions and that these can be used to extend system lifetime by adapting system behavior."}],"status":"public","_id":"9885","user_id":"55222","department":[{"_id":"151"}],"keyword":["Self-optimization","multiobjective optimization","objective function","dependability","intelligent system","behavior adaptation"],"language":[{"iso":"eng"}],"quality_controlled":"1","year":"2014","citation":{"ama":"Meyer  T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives in Multiobjective Optimization Problem. <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>. 2014;15:46-53. doi:<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>","chicago":"Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i> 15 (2014): 46–53. <a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">https://doi.org/10.1016/j.protcy.2014.09.033</a>.","ieee":"T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability Objectives in Multiobjective Optimization Problem,” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, vol. 15, pp. 46–53, 2014.","bibtex":"@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify Dependability Objectives in Multiobjective Optimization Problem}, volume={15}, DOI={<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>}, journal={Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence}, author={Meyer , Tobias and Sondermann-Wölke, Christoph and Sextro, Walter}, year={2014}, pages={46–53} }","mla":"Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective Optimization Problem.” <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, vol. 15, 2014, pp. 46–53, doi:<a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">10.1016/j.protcy.2014.09.033</a>.","short":"T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53.","apa":"Meyer , T., Sondermann-Wölke, C., &#38; Sextro, W. (2014). Method to Identify Dependability Objectives in Multiobjective Optimization Problem. <i>Conference Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>, <i>15</i>, 46–53. <a href=\"https://doi.org/10.1016/j.protcy.2014.09.033\">https://doi.org/10.1016/j.protcy.2014.09.033</a>"},"page":"46-53","intvolume":"        15","date_updated":"2019-09-16T10:22:04Z","author":[{"first_name":"Tobias","last_name":"Meyer ","full_name":"Meyer , Tobias"},{"full_name":"Sondermann-Wölke, Christoph","last_name":"Sondermann-Wölke","first_name":"Christoph"},{"first_name":"Walter","last_name":"Sextro","id":"21220","full_name":"Sextro, Walter"}],"date_created":"2019-05-20T13:19:37Z","volume":15,"title":"Method to Identify Dependability Objectives in Multiobjective Optimization Problem","doi":"10.1016/j.protcy.2014.09.033"},{"department":[{"_id":"749"}],"user_id":"14931","_id":"17204","language":[{"iso":"eng"}],"keyword":["interactional adaptation","multimodal input","social learning","ecology of attention","eye contact"],"publication":"Interaction Studies","type":"journal_article","status":"public","abstract":[{"lang":"eng","text":"In a longitudinal naturalistic study, we observed German mothers interacting with their infants when they were 3 and 6 months old. Pursuing the idea that infants’ attention is socialized in everyday interactions, we explored whether eye contact is reinforced selectively by behavioral modification in the input provided to infants. Applying a microanalytical approach focusing on the sequential organization of interaction, we explored how the mother draws the infant’s attention to herself and how she tries to maintain attention when the infant is looking at her. Results showed that eye contact is reinforced by specific infant-directed practices: interrogatives and conversational openings, multimodal stimulation, repetition, and imitation. In addition, these practices are contingent on the infant’s own behavior. By comparing the two data points (3 and 6 months), we showed how the education of attention evolves hand-in-hand with the developing capacities of the infant."}],"volume":14,"date_created":"2020-06-24T13:01:23Z","author":[{"last_name":"Nomikou","full_name":"Nomikou, Iris","first_name":"Iris"},{"first_name":"Katharina","last_name":"Rohlfing","id":"50352","full_name":"Rohlfing, Katharina"},{"last_name":"Szufnarowska","full_name":"Szufnarowska, Joanna","first_name":"Joanna"}],"publisher":"John Benjamins Publishing Company","date_updated":"2023-02-01T16:12:50Z","doi":"10.1075/is.14.2.05nom","title":"Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions","issue":"2","publication_identifier":{"issn":["1572-0381"]},"page":"240-267","intvolume":"        14","citation":{"ama":"Nomikou I, Rohlfing K, Szufnarowska J. Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions. <i>Interaction Studies</i>. 2013;14(2):240-267. doi:<a href=\"https://doi.org/10.1075/is.14.2.05nom\">10.1075/is.14.2.05nom</a>","chicago":"Nomikou, Iris, Katharina Rohlfing, and Joanna Szufnarowska. “Educating Attention: Recruiting, Maintaining, and Framing Eye Contact in Early Natural Mother-Infant Interactions.” <i>Interaction Studies</i> 14, no. 2 (2013): 240–67. <a href=\"https://doi.org/10.1075/is.14.2.05nom\">https://doi.org/10.1075/is.14.2.05nom</a>.","ieee":"I. Nomikou, K. Rohlfing, and J. Szufnarowska, “Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions,” <i>Interaction Studies</i>, vol. 14, no. 2, pp. 240–267, 2013, doi: <a href=\"https://doi.org/10.1075/is.14.2.05nom\">10.1075/is.14.2.05nom</a>.","mla":"Nomikou, Iris, et al. “Educating Attention: Recruiting, Maintaining, and Framing Eye Contact in Early Natural Mother-Infant Interactions.” <i>Interaction Studies</i>, vol. 14, no. 2, John Benjamins Publishing Company, 2013, pp. 240–67, doi:<a href=\"https://doi.org/10.1075/is.14.2.05nom\">10.1075/is.14.2.05nom</a>.","short":"I. Nomikou, K. Rohlfing, J. Szufnarowska, Interaction Studies 14 (2013) 240–267.","bibtex":"@article{Nomikou_Rohlfing_Szufnarowska_2013, title={Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions}, volume={14}, DOI={<a href=\"https://doi.org/10.1075/is.14.2.05nom\">10.1075/is.14.2.05nom</a>}, number={2}, journal={Interaction Studies}, publisher={John Benjamins Publishing Company}, author={Nomikou, Iris and Rohlfing, Katharina and Szufnarowska, Joanna}, year={2013}, pages={240–267} }","apa":"Nomikou, I., Rohlfing, K., &#38; Szufnarowska, J. (2013). Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions. <i>Interaction Studies</i>, <i>14</i>(2), 240–267. <a href=\"https://doi.org/10.1075/is.14.2.05nom\">https://doi.org/10.1075/is.14.2.05nom</a>"},"year":"2013"},{"status":"public","publication":"{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}","type":"conference","keyword":["model-driven performance engineering","self-*","Self-adaptation","software performance"],"user_id":"4870","_id":"22737","page":"117-122","citation":{"bibtex":"@inproceedings{Becker_Luckey_Becker_2012, place={New York, NY, USA}, title={Model-driven Performance Engineering of Self-adaptive Systems: A Survey}, DOI={<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>}, booktitle={{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}}, publisher={ACM}, author={Becker, Matthias and Luckey, Markus and Becker, Steffen}, year={2012}, pages={117–122} }","mla":"Becker, Matthias, et al. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, ACM, 2012, pp. 117–22, doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>.","short":"M. Becker, M. Luckey, S. Becker, in: {Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, ACM, New York, NY, USA, 2012, pp. 117–122.","apa":"Becker, M., Luckey, M., &#38; Becker, S. (2012). Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i> (pp. 117–122). New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>","chicago":"Becker, Matthias, Markus Luckey, and Steffen Becker. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 117–22. New York, NY, USA: ACM, 2012. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>.","ieee":"M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering of Self-adaptive Systems: A Survey,” in <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 2012, pp. 117–122.","ama":"Becker M, Luckey M, Becker S. Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In: <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>. New York, NY, USA: ACM; 2012:117-122. doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>"},"year":"2012","place":"New York, NY, USA","publication_identifier":{"isbn":["978-1-4503-1346-9"]},"doi":"10.1145/2304696.2304716","title":"Model-driven Performance Engineering of Self-adaptive Systems: A Survey","date_created":"2021-07-15T08:38:08Z","author":[{"last_name":"Becker","full_name":"Becker, Matthias","first_name":"Matthias"},{"first_name":"Markus","last_name":"Luckey","full_name":"Luckey, Markus"},{"first_name":"Steffen","last_name":"Becker","full_name":"Becker, Steffen"}],"date_updated":"2022-01-06T06:55:39Z","publisher":"ACM"},{"publication":"Proceedings of SIES 2010","type":"conference","abstract":[{"lang":"eng","text":"Many heterogeneous embedded systems, for example industrial automation and automotive applications, require hard-real time constraints to be exhaustively verified - which is a challenging task for the verification engineer. To cope with complexity, verification techniques working on different abstraction levels are best practice. SystemC is a versatile C++ based design and verification language, offering various mechanisms and constructs required for embedded systems modeling. Using the add-on SystemC Verification Library (SCV) elemental constrained-random stimuli techniques may be used for verification. However, SCV has several drawbacks such as lack of functional coverage. In this paper we present a functional coverage library that implements parts of the IEEE 1800-2005 SystemVerilog standard and allows capturing functional coverage throughout the design and verification process with SystemC. Moreover, we will demonstrate the usability of the approach with a case study working on a CAN bus model written in SystemC."}],"status":"public","_id":"37057","department":[{"_id":"672"}],"user_id":"5786","keyword":["Libraries","Generators","Transfer functions","Monitoring","Computational modeling","Driver circuits","Adaptation model"],"language":[{"iso":"eng"}],"publication_identifier":{"eisbn":["978-1-4244-5841-7"]},"place":" Trento, Italy","year":"2010","citation":{"apa":"Defo, G. B., Müller, W., &#38; Kuznik, C. (2010). Verification of a CAN Bus Model in SystemC with Functional Coverage. <i>Proceedings of SIES 2010</i>. International Symposium on Industrial Embedded System (SIES),  Trento, Italy. <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">https://doi.org/10.1109/SIES.2010.5551379</a>","bibtex":"@inproceedings{Defo_Müller_Kuznik_2010, place={ Trento, Italy}, title={Verification of a CAN Bus Model in SystemC with Functional Coverage}, DOI={<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>}, booktitle={Proceedings of SIES 2010}, publisher={IEEE}, author={Defo, Gilles B. and Müller, Wolfgang and Kuznik, Christoph}, year={2010} }","short":"G.B. Defo, W. Müller, C. Kuznik, in: Proceedings of SIES 2010, IEEE,  Trento, Italy, 2010.","mla":"Defo, Gilles B., et al. “Verification of a CAN Bus Model in SystemC with Functional Coverage.” <i>Proceedings of SIES 2010</i>, IEEE, 2010, doi:<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>.","chicago":"Defo, Gilles B., Wolfgang Müller, and Christoph Kuznik. “Verification of a CAN Bus Model in SystemC with Functional Coverage.” In <i>Proceedings of SIES 2010</i>.  Trento, Italy: IEEE, 2010. <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">https://doi.org/10.1109/SIES.2010.5551379</a>.","ieee":"G. B. Defo, W. Müller, and C. Kuznik, “Verification of a CAN Bus Model in SystemC with Functional Coverage,” presented at the International Symposium on Industrial Embedded System (SIES),  Trento, Italy, 2010, doi: <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>.","ama":"Defo GB, Müller W, Kuznik C. Verification of a CAN Bus Model in SystemC with Functional Coverage. In: <i>Proceedings of SIES 2010</i>. IEEE; 2010. doi:<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>"},"publisher":"IEEE","date_updated":"2023-01-17T11:35:03Z","date_created":"2023-01-17T11:34:56Z","author":[{"first_name":"Gilles B.","last_name":"Defo","full_name":"Defo, Gilles B."},{"last_name":"Müller","full_name":"Müller, Wolfgang","id":"16243","first_name":"Wolfgang"},{"first_name":"Christoph","full_name":"Kuznik, Christoph","last_name":"Kuznik"}],"title":"Verification of a CAN Bus Model in SystemC with Functional Coverage","conference":{"name":"International Symposium on Industrial Embedded System (SIES)","location":" Trento, Italy"},"doi":"10.1109/SIES.2010.5551379"},{"language":[{"iso":"eng"}],"keyword":["acoustic signal processing","arbitrary transfer function","array signal processing","blind acoustic beamforming","direction-of-arrival","direction-of-arrival estimation","eigenvalues and eigenfunctions","generalized eigenvalue decomposition","gradient ascent adaptation algorithm","microphone arrays","microphones","narrowband array beamforming","sensor array","single-channel post-filter","spatially colored noise","transfer functions"],"publication":"IEEE Transactions on Audio, Speech, and Language Processing","abstract":[{"text":"Maximizing the output signal-to-noise ratio (SNR) of a sensor array in the presence of spatially colored noise leads to a generalized eigenvalue problem. While this approach has extensively been employed in narrowband (antenna) array beamforming, it is typically not used for broadband (microphone) array beamforming due to the uncontrolled amount of speech distortion introduced by a narrowband SNR criterion. In this paper, we show how the distortion of the desired signal can be controlled by a single-channel post-filter, resulting in a performance comparable to the generalized minimum variance distortionless response beamformer, where arbitrary transfer functions relate the source and the microphones. Results are given both for directional and diffuse noise. A novel gradient ascent adaptation algorithm is presented, and its good convergence properties are experimentally revealed by comparison with alternatives from the literature. A key feature of the proposed beamformer is that it operates blindly, i.e., it neither requires knowledge about the array geometry nor an explicit estimation of the transfer functions from source to sensors or the direction-of-arrival.","lang":"eng"}],"date_created":"2019-07-12T05:30:57Z","title":"Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition","issue":"5","year":"2007","user_id":"44006","department":[{"_id":"54"}],"_id":"11927","type":"journal_article","status":"public","author":[{"first_name":"Ernst","last_name":"Warsitz","full_name":"Warsitz, Ernst"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"volume":15,"oa":"1","date_updated":"2022-01-06T06:51:12Z","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2007/WaHa07.pdf","open_access":"1"}],"doi":"10.1109/TASL.2007.898454","citation":{"short":"E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 15 (2007) 1529–1539.","bibtex":"@article{Warsitz_Haeb-Umbach_2007, title={Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition}, volume={15}, DOI={<a href=\"https://doi.org/10.1109/TASL.2007.898454\">10.1109/TASL.2007.898454</a>}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2007}, pages={1529–1539} }","mla":"Warsitz, Ernst, and Reinhold Haeb-Umbach. “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 15, no. 5, 2007, pp. 1529–39, doi:<a href=\"https://doi.org/10.1109/TASL.2007.898454\">10.1109/TASL.2007.898454</a>.","apa":"Warsitz, E., &#38; Haeb-Umbach, R. (2007). Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>15</i>(5), 1529–1539. <a href=\"https://doi.org/10.1109/TASL.2007.898454\">https://doi.org/10.1109/TASL.2007.898454</a>","chicago":"Warsitz, Ernst, and Reinhold Haeb-Umbach. “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 15, no. 5 (2007): 1529–39. <a href=\"https://doi.org/10.1109/TASL.2007.898454\">https://doi.org/10.1109/TASL.2007.898454</a>.","ieee":"E. Warsitz and R. Haeb-Umbach, “Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 15, no. 5, pp. 1529–1539, 2007.","ama":"Warsitz E, Haeb-Umbach R. Blind Acoustic Beamforming Based on Generalized Eigenvalue Decomposition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2007;15(5):1529-1539. doi:<a href=\"https://doi.org/10.1109/TASL.2007.898454\">10.1109/TASL.2007.898454</a>"},"page":"1529-1539","intvolume":"        15"},{"keyword":["direct parameter specification","DPS","attention shift","latency priming","sensorimotor control","stimuli","task-relevant features","visual targets","color","shape","latency effects","Adult","Attention","Discrimination (Psychology)","Female","Humans","Judgment","Male","Perceptual Masking","Reaction Time","Visual Perception","Attention","Perceptual Motor Processes","Response Latency","Stimulus Onset","Visual Stimulation","Form and Shape Perception","Sensory Adaptation"],"extern":"1","language":[{"iso":"eng"}],"_id":"6065","user_id":"42165","department":[{"_id":"424"}],"abstract":[{"text":"In the direct parameter specification (DPS) mode of sensorimotor control, response parameters can be specified by stimuli that are not consciously perceived [Psychological Research/Psychologische Forschung 52 (1990) 207]. DPS is contingent on the current intentions. The invisible stimuli can be processed for the purposes of sensorimotor control only if they match the actual intentions, for example, share task-relevant features. The present experiments explore whether attentional capture by masked abrupt-onset stimuli is mediated via DPS. Participants judged which of two visual targets appeared first. Masked primes preceded one of the targets. The primes were either similar to the targets or not, in shape, or in color. Target-like (task-relevant), but not distractor-like (task-irrelevant), primes facilitated perceptual latencies of targets trailing at their positions. Thus, the latency effects resulted from DPS of an attention shift, rather than from bottom-up capture or from top-down ","lang":"eng"}],"status":"public","type":"journal_article","publication":"Vision Research","title":"Direct parameter specification of an attention shift: Evidence from perceptual latency priming.","main_file_link":[{"open_access":"1","url":"https://kw.uni-paderborn.de/fileadmin/fakultaet/Institute/psychologie/Kognitive_Psychologie/Publikationen/ScharlauAnsorge2003VisResDPS.pdf"}],"date_updated":"2022-06-07T00:26:34Z","oa":"1","date_created":"2018-12-10T07:01:37Z","author":[{"last_name":"Scharlau","orcid":"0000-0003-2364-9489","id":"451","full_name":"Scharlau, Ingrid","first_name":"Ingrid"},{"first_name":"Ulrich","last_name":"Ansorge","full_name":"Ansorge, Ulrich"}],"volume":43,"year":"2003","citation":{"short":"I. Scharlau, U. Ansorge, Vision Research 43 (2003) 1351–1363.","bibtex":"@article{Scharlau_Ansorge_2003, title={Direct parameter specification of an attention shift: Evidence from perceptual latency priming.}, volume={43}, number={12}, journal={Vision Research}, author={Scharlau, Ingrid and Ansorge, Ulrich}, year={2003}, pages={1351–1363} }","mla":"Scharlau, Ingrid, and Ulrich Ansorge. “Direct Parameter Specification of an Attention Shift: Evidence from Perceptual Latency Priming.” <i>Vision Research</i>, vol. 43, no. 12, 2003, pp. 1351–63.","apa":"Scharlau, I., &#38; Ansorge, U. (2003). Direct parameter specification of an attention shift: Evidence from perceptual latency priming. <i>Vision Research</i>, <i>43</i>(12), 1351–1363.","ieee":"I. Scharlau and U. Ansorge, “Direct parameter specification of an attention shift: Evidence from perceptual latency priming.,” <i>Vision Research</i>, vol. 43, no. 12, pp. 1351–1363, 2003.","chicago":"Scharlau, Ingrid, and Ulrich Ansorge. “Direct Parameter Specification of an Attention Shift: Evidence from Perceptual Latency Priming.” <i>Vision Research</i> 43, no. 12 (2003): 1351–63.","ama":"Scharlau I, Ansorge U. Direct parameter specification of an attention shift: Evidence from perceptual latency priming. <i>Vision Research</i>. 2003;43(12):1351-1363."},"intvolume":"        43","page":"1351 - 1363","publication_status":"published","publication_identifier":{"issn":["0042-6989"]},"issue":"12"}]