[{"intvolume":" 78","user_id":"83781","type":"conference_editor_article","doi":"https://doi.org/10.1109/ETFA61755.2024.10710806","_id":"11330","place":"Piscataway, NJ","publication_status":"published","quality_controlled":"1","publisher":"IEEE","abstract":[{"lang":"eng","text":"With the increasing complexity in manual assembly and a demographic decline in skilled workforce, the importance of well-documented processes through assembly instructions has grown. Creating these instructions is a time-consuming and knowledge-intensive task that typically relies on experienced employees. Although various automation solutions have been proposed to assist in generating assembly instructions, they often fall short in providing detailed textual guidance. With the rise of generative artificial intelligence (AI), new potentials arise in this domain. Therefore, this paper explores these potentials by employing various large language models (LLMs), prompting techniques and input data in an experimental setup for generating detailed assembly instructions, including the planning of assembly sequences as well as textual guidance on tools, assembly activities, and quality assurance measures. The findings reveal promising opportunities in leveraging LLMs but also substantial challenges, particularly in assembly sequence planning. To improve the reliability of generating assembly instructions, we propose a multi-agent concept that decomposes the complex task into simpler subtasks, each managed by specialized agents."}],"conference":{"location":"Padova, Italy","name":"29th International Conference on Emerging Technologies and Factory Automation (ETFA)","end_date":"2024-09-13","start_date":"2024-09-10"},"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"corporate_editor":["IEEE"],"date_updated":"2024-10-22T07:28:35Z","date_created":"2024-04-12T07:06:41Z","publication":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","publication_identifier":{"eisbn":["979-8-3503-6122-3"],"isbn":["979-8-3503-6123-0"]},"language":[{"iso":"eng"}],"keyword":["assembly instruction","GPT","large language model","LLM","prompt"],"volume":78,"citation":{"ieee":"F. Meyer, L. Freitag, S. Hinrichsen, and O. Niggemann, Potentials of Large Language Models for Generating Assembly Instructions, vol. 78. Piscataway, NJ: IEEE, 2024. doi: https://doi.org/10.1109/ETFA61755.2024.10710806.","ama":"Meyer F, Freitag L, Hinrichsen S, Niggemann O. Potentials of Large Language Models for Generating Assembly Instructions. Vol 78. (IEEE, ed.). IEEE; 2024. doi:https://doi.org/10.1109/ETFA61755.2024.10710806","apa":"Meyer, F., Freitag, L., Hinrichsen, S., & Niggemann, O. (2024). Potentials of Large Language Models for Generating Assembly Instructions. In IEEE (Ed.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) (Vol. 78). IEEE. https://doi.org/10.1109/ETFA61755.2024.10710806","chicago":"Meyer, Frederic, Lennart Freitag, Sven Hinrichsen, and Oliver Niggemann. Potentials of Large Language Models for Generating Assembly Instructions. Edited by IEEE. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 78. Piscataway, NJ: IEEE, 2024. https://doi.org/10.1109/ETFA61755.2024.10710806.","van":"Meyer F, Freitag L, Hinrichsen S, Niggemann O. Potentials of Large Language Models for Generating Assembly Instructions. IEEE, editor. Vol. 78, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE; 2024.","mla":"Meyer, Frederic, et al. “Potentials of Large Language Models for Generating Assembly Instructions.” 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, vol. 78, IEEE, 2024, https://doi.org/10.1109/ETFA61755.2024.10710806.","bjps":"Meyer F et al. (2024) Potentials of Large Language Models for Generating Assembly Instructions, IEEE (ed.). Piscataway, NJ: IEEE.","havard":"F. Meyer, L. Freitag, S. Hinrichsen, O. Niggemann, Potentials of Large Language Models for Generating Assembly Instructions, IEEE, Piscataway, NJ, 2024.","ufg":"Meyer, Frederic u. a.: Potentials of Large Language Models for Generating Assembly Instructions, Bd. 78, hg. von IEEE, Piscataway, NJ 2024.","short":"F. Meyer, L. Freitag, S. Hinrichsen, O. Niggemann, Potentials of Large Language Models for Generating Assembly Instructions, IEEE, Piscataway, NJ, 2024.","chicago-de":"Meyer, Frederic, Lennart Freitag, Sven Hinrichsen und Oliver Niggemann. 2024. Potentials of Large Language Models for Generating Assembly Instructions. Hg. von IEEE. 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). Bd. 78. Piscataway, NJ: IEEE. doi:https://doi.org/10.1109/ETFA61755.2024.10710806, .","din1505-2-1":"Meyer, Frederic ; Freitag, Lennart ; Hinrichsen, Sven ; Niggemann, Oliver ; IEEE (Hrsg.): Potentials of Large Language Models for Generating Assembly Instructions. Bd. 78. Piscataway, NJ : IEEE, 2024"},"title":"Potentials of Large Language Models for Generating Assembly Instructions","status":"public","year":"2024","author":[{"last_name":"Meyer","full_name":"Meyer, Frederic","id":"70963","first_name":"Frederic"},{"last_name":"Freitag","id":"73431","full_name":"Freitag, Lennart","first_name":"Lennart"},{"full_name":"Hinrichsen, Sven","id":"49010","last_name":"Hinrichsen","first_name":"Sven"},{"first_name":"Oliver","last_name":"Niggemann","full_name":"Niggemann, Oliver","id":"10876"}]},{"keyword":["Codes","Electronic learning","Soft sensors","Semantics","Education","Syntactics","Task analysis"],"language":[{"iso":"eng"}],"date_updated":"2025-06-18T13:23:56Z","corporate_editor":["IEEE ASEE Frontiers in Education Conference","Institute of Electrical and Electronics Engineers","American Society for Engineering Education"],"publication":"FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in Education Conference (FIE)","publication_identifier":{"isbn":["979-8-3503-3643-6"],"eisbn":["979-8-3503-3642-9"]},"date_created":"2025-06-18T13:05:11Z","status":"public","year":"2024","author":[{"last_name":"Wehmeier","first_name":"Leon","full_name":"Wehmeier, Leon","id":"81257"},{"first_name":"Sebastian","full_name":"Eilermann, Sebastian","last_name":"Eilermann"},{"last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver","first_name":"Oliver"},{"orcid":"0000-0002-6529-6215","first_name":"Andreas","full_name":"Deuter, Andreas","last_name":"Deuter","id":"62088"}],"citation":{"ieee":"L. Wehmeier, S. Eilermann, O. Niggemann, and A. Deuter, Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. [Piscataway, NJ]: IEEE, 2024. doi: 10.1109/fie58773.2023.10342916.","ama":"Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis. (IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, eds.). IEEE; 2024. doi:10.1109/fie58773.2023.10342916","apa":"Wehmeier, L., Eilermann, S., Niggemann, O., & Deuter, A. (2024). Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. In IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, & American Society for Engineering Education (Eds.), FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). IEEE. https://doi.org/10.1109/fie58773.2023.10342916","chicago":"Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann, and Andreas Deuter. Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis. Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education. FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE, 2024. https://doi.org/10.1109/fie58773.2023.10342916.","van":"Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, editors. FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE; 2024.","ufg":"Wehmeier, Leon u. a.: Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis, hg. von IEEE ASEE Frontiers in Education Conference/Institute of Electrical and Electronics Engineers, American Society for Engineering Education, [Piscataway, NJ] 2024.","havard":"L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.","bjps":"Wehmeier L et al. (2024) Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education (eds). [Piscataway, NJ]: IEEE.","mla":"Wehmeier, Leon, et al. “Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis.” FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE), edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, https://doi.org/10.1109/fie58773.2023.10342916.","short":"L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.","din1505-2-1":"Wehmeier, Leon ; Eilermann, Sebastian ; Niggemann, Oliver ; Deuter, Andreas ; IEEE ASEE Frontiers in Education Conference ; Institute of Electrical and Electronics Engineers ; American Society for Engineering Education (Hrsg.): Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. [Piscataway, NJ] : IEEE, 2024","chicago-de":"Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann und Andreas Deuter. 2024. Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, und American Society for Engineering Education. FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE. doi:10.1109/fie58773.2023.10342916, ."},"title":"Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis","place":"[Piscataway, NJ]","_id":"12993","doi":"10.1109/fie58773.2023.10342916","user_id":"83781","type":"conference_editor_article","publisher":"IEEE","conference":{"end_date":"2023-10-21","start_date":"2023-10-18","name":"2023 IEEE Frontiers in Education Conference (FIE)","location":"Texas"},"department":[{"_id":"DEP7022"},{"_id":"DEP1306"},{"_id":"DEP7001"}],"abstract":[{"lang":"eng","text":"In computer science and related technical fields, researchers, educators, and practitioners are continuously automating recurring tasks for high efficiency in a wide variety of fields. In higher education, such tasks that educators face are the recurring review and assessment process of students' programming coursework. Thus, various attempts exist to automate the assessment and feedback generation for course homework and practicals in higher education. Those approaches for automated programming task assessment often comprise running automated tests to check for limited functional correctness and potentially style checking for various violations (LINTing). Educators familiar with large-scale automated task assessment are likely used to seeing hard-coded solutions specifically or accidentally designed to just pass the required tests, ignoring or misinterpreting the actual task requirements. Detecting such issues in arbitrary code is non-trivial and an ongoing research topic in software engineering. Software engineering research has yielded various semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for programming task assessment. We present a work-in-progress programming task analysis framework which employs CodeQL's analysis technology to identify the actual use of task-description-mandated syntactic and semantic elements such as loop structures or the use of mandated data blocks in branching conditions. This allows extending existing course work analysis frameworks to include a semantic check of an uploaded program which exceeds the relatively simple set of input-output test cases provided by unit tests. We use a running example of entry level programming tasks and several solution attempts to introduce and explain our proposed control flow and data flow -based analysis method. We discuss the benefits of including semantic analysis as an additional method in the automated programming task assessment toolbox. Our main contribution is the adaptation of an semantic analysis code framework to analyse syntactic and semantic components in students' programming coursework."}],"publication_status":"published"},{"publisher":"Springer Verlag","department":[{"_id":"DEP7011"}],"conference":{"start_date":"2023-03-29","end_date":"2023-03-31","location":"Hamburg","name":"ML4CPS - Machine Learning for Cyber Physical Systems"},"publication_status":"published","series_title":"Technologien für die intelligente Automation","place":"Heidelberg","doi":"10.1007/978-3-031-47062-2_5","_id":"11333","user_id":"83781","intvolume":" 18","type":"conference_editor_article","page":"8","status":"public","year":"2023","author":[{"first_name":"Tobias","id":"79141","last_name":"Stuke","full_name":"Stuke, Tobias"},{"full_name":"Rauschenbach, Thomas","last_name":"Rauschenbach","first_name":"Thomas"},{"last_name":"Bartsch","full_name":"Bartsch, Thomas","first_name":"Thomas","id":"43513"}],"citation":{"ama":"Stuke T, Rauschenbach T, Bartsch T. Development of a Reinforcement Learning Approach for Industrial Bin Picking. Vol 18. 1st ed. (Niggemann O, Beyerer Jürgen , Krantz Maria, Kühnert C, eds.). Springer Verlag; 2023:8. doi:10.1007/978-3-031-47062-2_5","ieee":"T. Stuke, T. Rauschenbach, and T. Bartsch, Development of a Reinforcement Learning Approach for Industrial Bin Picking, 1st ed., vol. 18. Heidelberg: Springer Verlag, 2023, p. 8. doi: 10.1007/978-3-031-47062-2_5.","chicago-de":"Stuke, Tobias, Thomas Rauschenbach und Thomas Bartsch. 2023. Development of a Reinforcement Learning Approach for Industrial Bin Picking. Hg. von Oliver Niggemann, Jürgen Beyerer , Maria Krantz, und Christian Kühnert. Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023 . 1. Aufl. Bd. 18. Technologien für die intelligente Automation. Heidelberg: Springer Verlag. doi:10.1007/978-3-031-47062-2_5, .","din1505-2-1":"Stuke, Tobias ; Rauschenbach, Thomas ; Bartsch, Thomas ; Niggemann, O. ; Beyerer , Jürgen ; Krantz, Maria ; Kühnert, C. (Hrsg.): Development of a Reinforcement Learning Approach for Industrial Bin Picking, Technologien für die intelligente Automation. Bd. 18. 1. Aufl. Heidelberg : Springer Verlag, 2023","short":"T. Stuke, T. Rauschenbach, T. Bartsch, Development of a Reinforcement Learning Approach for Industrial Bin Picking, 1st ed., Springer Verlag, Heidelberg, 2023.","ufg":"Stuke, Tobias/Rauschenbach, Thomas/Bartsch, Thomas: Development of a Reinforcement Learning Approach for Industrial Bin Picking, Bd. 18, hg. von Niggemann, Oliver u. a., Heidelberg 12023 (Technologien für die intelligente Automation).","mla":"Stuke, Tobias, et al. “Development of a Reinforcement Learning Approach for Industrial Bin Picking.” Machine Learning for Cyber-Physical Systems: Selected Papers from the International Conference ML4CPS 2023 , edited by Oliver Niggemann et al., 1st ed., vol. 18, Springer Verlag, 2023, p. 8, https://doi.org/10.1007/978-3-031-47062-2_5.","bjps":"Stuke T, Rauschenbach T and Bartsch T (2023) Development of a Reinforcement Learning Approach for Industrial Bin Picking, 1st ed., Niggemann O et al. (eds). Heidelberg: Springer Verlag.","havard":"T. Stuke, T. Rauschenbach, T. Bartsch, Development of a Reinforcement Learning Approach for Industrial Bin Picking, 1st ed., Springer Verlag, Heidelberg, 2023.","van":"Stuke T, Rauschenbach T, Bartsch T. Development of a Reinforcement Learning Approach for Industrial Bin Picking. 1st ed. Niggemann O, Beyerer Jürgen , Krantz Maria, Kühnert C, editors. Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023 . Heidelberg: Springer Verlag; 2023. (Technologien für die intelligente Automation; vol. 18).","chicago":"Stuke, Tobias, Thomas Rauschenbach, and Thomas Bartsch. Development of a Reinforcement Learning Approach for Industrial Bin Picking. Edited by Oliver Niggemann, Jürgen Beyerer , Maria Krantz, and Christian Kühnert. Machine Learning for Cyber-Physical Systems: Selected Papers from the International Conference ML4CPS 2023 . 1st ed. Vol. 18. Technologien Für Die Intelligente Automation. Heidelberg: Springer Verlag, 2023. https://doi.org/10.1007/978-3-031-47062-2_5.","apa":"Stuke, T., Rauschenbach, T., & Bartsch, T. (2023). Development of a Reinforcement Learning Approach for Industrial Bin Picking. In O. Niggemann, Jürgen Beyerer , Maria Krantz, & C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023 (1st ed., Vol. 18, p. 8). Springer Verlag. https://doi.org/10.1007/978-3-031-47062-2_5"},"volume":18,"title":"Development of a Reinforcement Learning Approach for Industrial Bin Picking","language":[{"iso":"eng"}],"date_updated":"2024-07-19T09:43:05Z","editor":[{"full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver","last_name":"Niggemann"},{"first_name":" Jürgen ","full_name":"Beyerer , Jürgen ","last_name":"Beyerer "},{"first_name":" Maria","last_name":"Krantz","full_name":"Krantz, Maria"},{"first_name":"Christian ","full_name":"Kühnert, Christian ","last_name":"Kühnert"}],"date_created":"2024-04-12T12:18:41Z","publication_identifier":{"isbn":["978-3-031-47061-5"]},"publication":"Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023 ","edition":"1"},{"date_created":"2023-11-16T11:57:57Z","publication":"Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications","publication_identifier":{"issn":["2771-0718"]},"date_updated":"2023-11-16T11:58:05Z","oa":"1","language":[{"iso":"eng"}],"keyword":["Digital Assembly Instruction","Industrial Engineering","Manual Assembly","Robotic Process Automation","RPA","Work Instruction"],"title":"How to Generate Assembly Instructions with Robotic Process Automation","citation":{"din1505-2-1":"Meyer, Frederic ; Hinrichsen, Sven ; Niggemann, Oliver: How to Generate Assembly Instructions with Robotic Process Automation, Human Interaction and Emerging Technologies (IHIET 2023). Bd. 111 : AHFE International, 2023","chicago-de":"Meyer, Frederic, Sven Hinrichsen und Oliver Niggemann. 2023. How to Generate Assembly Instructions with Robotic Process Automation. Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications. Bd. 111. Human Interaction and Emerging Technologies (IHIET 2023). AHFE International. doi:10.54941/ahfe1004070, .","short":"F. Meyer, S. Hinrichsen, O. Niggemann, How to Generate Assembly Instructions with Robotic Process Automation, AHFE International, 2023.","chicago":"Meyer, Frederic, Sven Hinrichsen, and Oliver Niggemann. How to Generate Assembly Instructions with Robotic Process Automation. Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications. Vol. 111. Human Interaction and Emerging Technologies (IHIET 2023). AHFE International, 2023. https://doi.org/10.54941/ahfe1004070.","apa":"Meyer, F., Hinrichsen, S., & Niggemann, O. (2023). How to Generate Assembly Instructions with Robotic Process Automation. In Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications (Vol. 111, pp. 629–638). AHFE International. https://doi.org/10.54941/ahfe1004070","havard":"F. Meyer, S. Hinrichsen, O. Niggemann, How to Generate Assembly Instructions with Robotic Process Automation, AHFE International, 2023.","bjps":"Meyer F, Hinrichsen S and Niggemann O (2023) How to Generate Assembly Instructions with Robotic Process Automation. AHFE International.","mla":"Meyer, Frederic, et al. “How to Generate Assembly Instructions with Robotic Process Automation.” Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications, vol. 111, AHFE International, 2023, pp. 629–38, https://doi.org/10.54941/ahfe1004070.","ufg":"Meyer, Frederic/Hinrichsen, Sven/Niggemann, Oliver: How to Generate Assembly Instructions with Robotic Process Automation, Bd. 111, o. O. 2023 (Human Interaction and Emerging Technologies (IHIET 2023)).","van":"Meyer F, Hinrichsen S, Niggemann O. How to Generate Assembly Instructions with Robotic Process Automation. Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications. AHFE International; 2023. (Human Interaction and Emerging Technologies (IHIET 2023); vol. 111).","ieee":"F. Meyer, S. Hinrichsen, and O. Niggemann, How to Generate Assembly Instructions with Robotic Process Automation, vol. 111. AHFE International, 2023, pp. 629–638. doi: 10.54941/ahfe1004070.","ama":"Meyer F, Hinrichsen S, Niggemann O. How to Generate Assembly Instructions with Robotic Process Automation. Vol 111. AHFE International; 2023:629-638. doi:10.54941/ahfe1004070"},"volume":111,"year":"2023","main_file_link":[{"open_access":"1"}],"author":[{"first_name":"Frederic","id":"71656","last_name":"Meyer","full_name":"Meyer, Frederic"},{"first_name":"Sven","last_name":"Hinrichsen","id":"49010","full_name":"Hinrichsen, Sven"},{"first_name":"Oliver","id":"10876","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"page":"629-638","status":"public","type":"conference_editor_article","user_id":"83780","intvolume":" 111","doi":"10.54941/ahfe1004070","_id":"10782","series_title":"Human Interaction and Emerging Technologies (IHIET 2023)","publication_status":"published","conference":{"name":"IHIET 2023","location":"NIzza","start_date":"2023-08-22","end_date":"2023-08-24"},"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"abstract":[{"lang":"eng","text":"With the trend towards shorter product lifecycles, smaller batch sizes, and more product variants, the complexity of manual assembly activities is increasing. To support employees in carrying out complex assembly tasks, the use of assembly instructions is indispensable to ensure high process capability and work productivity. However, the creation of assembly instructions is often time-consuming. Thus, the use of automation approaches can be a way to simplify the creation of assembly instructions. Therefore, this paper introduces a promising automation concept for applying robotic process automation (RPA) to generate assembly instructions automatically. Finally, the automation concept is demonstrated in a practical use case that illustrates the associated automation potential of RPA."}],"quality_controlled":"1","publisher":"AHFE International"},{"author":[{"last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver","first_name":"Oliver"},{"first_name":"Gautam","last_name":"Biswas","full_name":"Biswas, Gautam"},{"last_name":"Kinnebrew","first_name":"John S.","full_name":"Kinnebrew, John S."},{"last_name":"Khorasgani","full_name":"Khorasgani, Hamed","first_name":"Hamed"},{"full_name":"Hranisavljevic, Nemanja","first_name":"Nemanja","last_name":"Hranisavljevic","id":"62376"},{"first_name":"Andreas","last_name":"Bunte","id":"58885","full_name":"Bunte, Andreas"}],"year":2020,"department":[{"_id":"DEP5023"}],"status":"public","page":"800","publisher":"Springer","title":"Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion","citation":{"chicago-de":"Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Nemanja Hranisavljevic und Andreas Bunte. 2020. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, hg. von Michael ten Hompel, Birgit Vogel-Heuser, und Thomas Bauernhansl, 800. Berlin: Springer.","din1505-2-1":"Niggemann, Oliver ; Biswas, Gautam ; Kinnebrew, John S. ; Khorasgani, Hamed ; Hranisavljevic, Nemanja ; Bunte, Andreas: Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: ten Hompel, M. ; Vogel-Heuser, B. ; Bauernhansl, T. (Hrsg.): Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin : Springer, 2020, S. 800","short":"O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, A. Bunte, in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020, p. 800.","chicago":"Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Nemanja Hranisavljevic, and Andreas Bunte. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” In Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, edited by Michael ten Hompel, Birgit Vogel-Heuser, and Thomas Bauernhansl, 800. Berlin: Springer, 2020.","apa":"Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Hranisavljevic, N., & Bunte, A. (2020). Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In M. ten Hompel, B. Vogel-Heuser, & T. Bauernhansl (Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik (p. 800). Berlin: Springer.","mla":"Niggemann, Oliver, et al. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, edited by Michael ten Hompel et al., Springer, 2020, p. 800.","havard":"O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, A. Bunte, Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020: p. 800.","bjps":"Niggemann O et al. (2020) Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In ten Hompel M, Vogel-Heuser B and Bauernhansl T (eds), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin: Springer, p. 800.","ufg":"Niggemann, Oliver et. al. (2020): Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: Michael ten Hompel et. al. (Hgg.): Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Berlin, S. 800.","van":"Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, editors. Handbuch Industrie 40: Produktion, Automatisierung und Logistik. Berlin: Springer; 2020. p. 800.","ieee":"O. Niggemann, G. Biswas, J. S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, and A. Bunte, “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion,” in Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, M. ten Hompel, B. Vogel-Heuser, and T. Bauernhansl, Eds. Berlin: Springer, 2020, p. 800.","ama":"Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, eds. Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin: Springer; 2020:800."},"publication_status":"published","place":"Berlin","language":[{"iso":"ger"}],"_id":"4786","publication_identifier":{"isbn":["978-3-662-45537-1"]},"publication":"Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik","date_created":"2021-02-02T08:38:44Z","type":"book_chapter","user_id":"74004","date_updated":"2023-03-15T13:49:55Z","editor":[{"full_name":"ten Hompel, Michael","last_name":"ten Hompel","first_name":"Michael"},{"full_name":"Vogel-Heuser, Birgit","first_name":"Birgit","last_name":"Vogel-Heuser"},{"full_name":"Bauernhansl, Thomas","last_name":"Bauernhansl","first_name":"Thomas"}]},{"title":"Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space","citation":{"ieee":"F. Zhang, K. Pinkal, F. Conradi, P. Wefing, J. Schneider, and O. Niggemann, “Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space,” presented at the IEEE-ICIT Feb 2019, Melbourne, Australia, 2019.","ama":"Zhang F, Pinkal K, Conradi F, Wefing P, Schneider J, Niggemann O. Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. In: ; 2019.","din1505-2-1":"Zhang, Fan ; Pinkal, K. ; Conradi, Florian ; Wefing, Patrick ; Schneider, Jan ; Niggemann, Oliver: Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. In: , 2019","chicago-de":"Zhang, Fan, K. Pinkal, Florian Conradi, Patrick Wefing, Jan Schneider und Oliver Niggemann. 2019. Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. In: .","short":"F. Zhang, K. Pinkal, F. Conradi, P. Wefing, J. Schneider, O. Niggemann, in: 2019.","chicago":"Zhang, Fan, K. Pinkal, Florian Conradi, Patrick Wefing, Jan Schneider, and Oliver Niggemann. “Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space,” 2019.","apa":"Zhang, F., Pinkal, K., Conradi, F., Wefing, P., Schneider, J., & Niggemann, O. (2019). Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. IEEE-ICIT Feb 2019, Melbourne, Australia.","mla":"Zhang, Fan, et al. Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. 2019.","bjps":"Zhang F et al. (2019) Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space.","havard":"F. Zhang, K. Pinkal, F. Conradi, P. Wefing, J. Schneider, O. Niggemann, Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space, in: 2019.","ufg":"Zhang, Fan u. a.: Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space, in: o. Hg.: o. O. 2019.","van":"Zhang F, Pinkal K, Conradi F, Wefing P, Schneider J, Niggemann O. Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. In 2019."},"author":[{"id":"71479","first_name":"Fan","last_name":"Zhang","full_name":"Zhang, Fan"},{"last_name":"Pinkal","first_name":"K.","full_name":"Pinkal, K."},{"first_name":"Florian","last_name":"Conradi","id":"68967","full_name":"Conradi, Florian"},{"id":"68976","first_name":"Patrick","full_name":"Wefing, Patrick","last_name":"Wefing"},{"orcid":"0000-0001-6401-8873","full_name":"Schneider, Jan","first_name":"Jan","last_name":"Schneider","id":"13209"},{"last_name":"Niggemann","first_name":"Oliver","id":"10876","full_name":"Niggemann, Oliver"}],"year":"2019","conference":{"name":"IEEE-ICIT Feb 2019","location":"Melbourne, Australia","end_date":"2019-02-15","start_date":"2019-02-13"},"department":[{"_id":"DEP4023"},{"_id":"DEP1308"}],"status":"public","type":"conference_abstract","date_created":"2021-04-08T08:44:40Z","user_id":"81304","date_updated":"2024-04-15T07:39:15Z","_id":"5443","language":[{"iso":"eng"}]},{"department":[{"_id":"DEP5023"}],"author":[{"first_name":"Andreas","id":"58885","last_name":"Bunte","full_name":"Bunte, Andreas"},{"first_name":"Paul","last_name":"Wunderlich","full_name":"Wunderlich, Paul","id":"52317"},{"id":"44238","first_name":"Natalia","last_name":"Moriz","full_name":"Moriz, Natalia"},{"full_name":"Li, Peng","id":"58937","last_name":"Li","first_name":"Peng"},{"full_name":"Mankowski, Andre","last_name":"Mankowski","first_name":"Andre","id":"51482"},{"full_name":"Rogalla, Antje","id":"66617","last_name":"Rogalla","first_name":"Antje"},{"id":"10876","first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"year":2019,"status":"public","title":"Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS","citation":{"ama":"Bunte A, Wunderlich P, Moriz N, et al. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.","ieee":"A. Bunte et al., “Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS,” in 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019.","chicago-de":"Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla und Oliver Niggemann. 2019. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.","din1505-2-1":"Bunte, Andreas ; Wunderlich, Paul ; Moriz, Natalia ; Li, Peng ; Mankowski, Andre ; Rogalla, Antje ; Niggemann, Oliver: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain, 2019","short":"A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O. Niggemann, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain, 2019.","havard":"A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O. Niggemann, Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain, 2019.","bjps":"Bunte A et al. (2019) Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.","mla":"Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019.","ufg":"Bunte, Andreas et. al. (2019): Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.","van":"Bunte A, Wunderlich P, Moriz N, Li P, Mankowski A, Rogalla A, et al. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.","chicago":"Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla, and Oliver Niggemann. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain, 2019.","apa":"Bunte, A., Wunderlich, P., Moriz, N., Li, P., Mankowski, A., Rogalla, A., & Niggemann, O. (2019). Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain."},"_id":"4780","language":[{"iso":"eng"}],"place":"Zaragoza, Spain","date_created":"2021-02-02T08:08:34Z","type":"conference","publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","date_updated":"2023-03-15T13:49:55Z","user_id":"68554"},{"title":"Evaluation of Cognitive Architectures for Cyber-Physical Production Systems","citation":{"short":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, in: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019, pp. 729–736.","chicago-de":"Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke und Oliver Niggemann. 2019. Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), hg. von Institute of Electrical and Electronics Engineers und Universidad de Zaragoza , 729–736. IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ]: IEEE. doi:10.1109/etfa.2019.8869038, .","din1505-2-1":"Bunte, Andreas ; Fischbach, Andreas ; Strohschein, Jan ; Bartz-Beielstein, Thomas ; Faeskorn-Woyke, Heide ; Niggemann, Oliver: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: Institute of Electrical and Electronics Engineers ; Universidad de Zaragoza (Hrsg.): 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ] : IEEE, 2019, S. 729–736","apa":"Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke, H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers & Universidad de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 729–736). IEEE. https://doi.org/10.1109/etfa.2019.8869038","chicago":"Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” In 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , 729–36. IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/etfa.2019.8869038.","van":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza , editors. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]: IEEE; 2019. p. 729–36. (IEEE International Conference on Emerging Technologies and Factory Automation-ETFA).","ufg":"Bunte, Andreas u. a.: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, in: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza (Hgg.): 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), [Piscataway, NJ] 2019 (IEEE International Conference on Emerging Technologies and Factory Automation-ETFA),  S. 729–736.","havard":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, in: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019: pp. 729–736.","bjps":"Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers and Universidad de Zaragoza (eds), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]: IEEE, pp. 729–736.","mla":"Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, https://doi.org/10.1109/etfa.2019.8869038.","ieee":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems,” in 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, SPAIN, 2019, pp. 729–736. doi: 10.1109/etfa.2019.8869038.","ama":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza , eds. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. IEEE; 2019:729-736. doi:10.1109/etfa.2019.8869038"},"year":"2019","author":[{"full_name":"Bunte, Andreas","id":"58885","first_name":"Andreas","last_name":"Bunte"},{"last_name":"Fischbach","first_name":"Andreas","full_name":"Fischbach, Andreas"},{"full_name":"Strohschein, Jan","last_name":"Strohschein","first_name":"Jan"},{"first_name":"Thomas","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas"},{"last_name":"Faeskorn-Woyke","first_name":"Heide","full_name":"Faeskorn-Woyke, Heide"},{"full_name":"Niggemann, Oliver","first_name":"Oliver","id":"10876","last_name":"Niggemann"}],"page":"729-736","status":"public","date_created":"2021-02-02T08:10:37Z","publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","publication_identifier":{"issn":["1946-0740"],"isbn":["978-1-7281-0303-7"],"eissn":["1946-0759"]},"corporate_editor":["Institute of Electrical and Electronics Engineers","Universidad de Zaragoza "],"date_updated":"2025-06-26T13:32:54Z","language":[{"iso":"eng"}],"keyword":["Reference Architecture","Cognition","Industrie 4.0"],"series_title":"IEEE International Conference on Emerging Technologies and Factory Automation-ETFA","publication_status":"published","abstract":[{"text":"Cyber-physical production systems (CPPS) integrate physical and computational resources due to increasingly available sensors and processing power. This enables the usage of data, to create additional benefit, such as condition monitoring or optimization. These capabilities can lead to cognition, such that the system is able to adapt independently to changing circumstances by learning from additional sensors information. Developing a reference architecture for the design of CPPS and standardization of machines and software interfaces is crucial to enable compatibility of data usage between different machine models and vendors. This paper analysis existing reference architecture regarding their cognitive abilities, based on requirements that are derived from three different use cases. The results from the evaluation of the reference architectures, which include two instances that stem from the field of cognitive science, reveal a gap in the applicability of the architectures regarding the generalizability and the level of abstraction. While reference architectures from the field of automation are suitable to address use case specific requirements, and do not address the general requirements, especially w.r.t. adaptability, the examples from the field of cognitive science are well usable to reach a high level of adaption and cognition. It is desirable to merge advantages of both classes of architectures to address challenges in the field of CPPS in Industrie 4.0.","lang":"eng"}],"conference":{"location":"Zaragoza, SPAIN","name":"24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","start_date":"2019-09-10","end_date":"2019-09-13"},"department":[{"_id":"DEP5023"}],"publisher":"IEEE","type":"conference","user_id":"83781","doi":"10.1109/etfa.2019.8869038","_id":"4781","place":"[Piscataway, NJ]"},{"department":[{"_id":"DEP5023"}],"year":2019,"author":[{"last_name":"Bunte","id":"58885","full_name":"Bunte, Andreas","first_name":"Andreas"},{"full_name":"Fischbach, Andreas","first_name":"Andreas","last_name":"Fischbach"},{"last_name":"Strohschein","full_name":"Strohschein, Jan","first_name":"Jan"},{"first_name":"Thomas","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas"},{"full_name":"Faeskorn-Woyke, Heide","first_name":"Heide","last_name":"Faeskorn-Woyke"},{"full_name":"Niggemann, Oliver","last_name":"Niggemann","id":"10876","first_name":"Oliver"}],"status":"public","title":"Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems","citation":{"ama":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints. 2019.","van":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints. 2019;","bjps":"Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints.","havard":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, ArXiv E-Prints. (2019).","mla":"Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.","ufg":"Bunte, Andreas et. al. (2019): Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, in: arXiv e-prints.","ieee":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems,” arXiv e-prints, 2019.","apa":"Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke, H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. ArXiv E-Prints.","chicago":"Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.","short":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, ArXiv E-Prints (2019).","din1505-2-1":"Bunte, Andreas ; Fischbach, Andreas ; Strohschein, Jan ; Bartz-Beielstein, Thomas ; Faeskorn-Woyke, Heide ; Niggemann, Oliver: Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. In: arXiv e-prints (2019)","chicago-de":"Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke und Oliver Niggemann. 2019. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints."},"language":[{"iso":"eng"}],"_id":"4784","date_created":"2021-02-02T08:16:16Z","type":"journal_article","publication":"arXiv e-prints","date_updated":"2023-03-15T13:49:55Z","user_id":"68554"},{"citation":{"chicago-de":"Bunte, Andreas, Benno Stein und Oliver Niggemann. 2019. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: . Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).","din1505-2-1":"Bunte, Andreas ; Stein, Benno ; Niggemann, Oliver: Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: . Hawaii, USA : Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019","short":"A. Bunte, B. Stein, O. Niggemann, in: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, 2019.","chicago":"Bunte, Andreas, Benno Stein, and Oliver Niggemann. “Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models.” Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.","apa":"Bunte, A., Stein, B., & Niggemann, O. (2019). Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).","ufg":"Bunte, Andreas et. al. (2019): Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models, in: , Hawaii, USA.","mla":"Bunte, Andreas, et al. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.","bjps":"Bunte A, Stein B and Niggemann O (2019) Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).","havard":"A. Bunte, B. Stein, O. Niggemann, Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models, in: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, 2019.","van":"Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.","ieee":"A. Bunte, B. Stein, and O. Niggemann, “Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models,” 2019.","ama":"Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019."},"title":"Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models","publisher":"Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)","status":"public","author":[{"first_name":"Andreas","full_name":"Bunte, Andreas","id":"58885","last_name":"Bunte"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"last_name":"Niggemann","full_name":"Niggemann, Oliver","first_name":"Oliver","id":"10876"}],"year":2019,"department":[{"_id":"DEP5023"}],"user_id":"68554","date_updated":"2023-03-15T13:49:55Z","date_created":"2021-02-02T08:18:13Z","type":"conference","_id":"4785","place":"Hawaii, USA","language":[{"iso":"eng"}]},{"keyword":["One-class classification","n-dimensional oriented non-convex hull","Anomaly detection","CPPS"],"language":[{"iso":"eng"}],"publication":"Engineering Applications of Artificial Intelligence","publication_identifier":{"issn":["0952-1976"],"eissn":["1873-6769"]},"date_created":"2025-04-16T09:51:12Z","date_updated":"2025-06-26T13:34:10Z","external_id":{"isi":["000506715100040"]},"author":[{"first_name":"Peng","id":"58937","full_name":"Li, Peng","last_name":"Li"},{"first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann","id":"10876"}],"year":"2019","status":"public","title":"Non-convex hull based anomaly detection in CPPS","citation":{"din1505-2-1":"Li, Peng ; Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS. In: Engineering Applications of Artificial Intelligence Bd. 87. Amsterdam [u.a.], Elsevier BV (2019)","chicago-de":"Li, Peng und Oliver Niggemann. 2019. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence 87. doi:10.1016/j.engappai.2019.103301, .","short":"P. Li, O. Niggemann, Engineering Applications of Artificial Intelligence 87 (2019).","mla":"Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence, vol. 87, 103301, 2019, https://doi.org/10.1016/j.engappai.2019.103301.","bjps":"Li P and Niggemann O (2019) Non-Convex Hull Based Anomaly Detection in CPPS. Engineering Applications of Artificial Intelligence 87.","havard":"P. Li, O. Niggemann, Non-convex hull based anomaly detection in CPPS, Engineering Applications of Artificial Intelligence. 87 (2019).","ufg":"Li, Peng/Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS, in: Engineering Applications of Artificial Intelligence 87 (2019).","van":"Li P, Niggemann O. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence. 2019;87.","chicago":"Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence 87 (2019). https://doi.org/10.1016/j.engappai.2019.103301.","apa":"Li, P., & Niggemann, O. (2019). Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence, 87, Article 103301. https://doi.org/10.1016/j.engappai.2019.103301","ama":"Li P, Niggemann O. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence. 2019;87. doi:10.1016/j.engappai.2019.103301","ieee":"P. Li and O. Niggemann, “Non-convex hull based anomaly detection in CPPS,” Engineering Applications of Artificial Intelligence, vol. 87, Art. no. 103301, 2019, doi: 10.1016/j.engappai.2019.103301."},"volume":87,"_id":"12808","doi":"10.1016/j.engappai.2019.103301","article_number":"103301","place":"Amsterdam [u.a.]","type":"scientific_journal_article","intvolume":" 87","user_id":"83781","abstract":[{"text":"Along with the constantly increasing complexity of industrial automation systems, machine learning methods have been widely applied to detecting abnormal states in such systems. Anomaly detection tasks can be treated as one-class classification problems in machine learning. Geometric methods can give an intuitive solution to such problems. In this paper, we propose a new geometric structure, oriented non-convex hulls, to represent decision boundaries used for one-class classification. Based on this geometric structure, a novel boundary based one-class classification algorithm is developed to solve the anomaly detection problem. Compared with traditional boundary-based approaches such as convex hulls based methods and one-class support vector machines, the proposed approach can better reflect the true geometry of target data and needs little effort for parameter tuning. The effectiveness of this approach is evaluated with artificial and real world data sets to solve the anomaly detection problem in Cyber-Physical-Production-Systems (CPPS). The evaluation results also show that the proposed approach has higher generality than the used baseline algorithms.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"publisher":"Elsevier BV","isi":"1","publication_status":"published"},{"publication_status":"published","department":[{"_id":"DEP5023"},{"_id":"DEP5019"}],"conference":{"start_date":"2018-06-13","end_date":"2018-06-15","name":"14th IEEE International Workshop on Factory Communication Systems (WFCS)","location":"Imperia, Italy "},"abstract":[{"lang":"eng","text":"In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems."}],"publisher":"IEEE","type":"conference","user_id":"45673","place":"Piscataway, NJ","_id":"4327","doi":"10.1109/WFCS.2018.8402380","title":"Assistance System to Support Troubleshooting of Complex Industrial Systems","citation":{"ama":"Lang D, Wunderlich P, Heinz M, et al. Assistance System to Support Troubleshooting of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE; 2018. doi:10.1109/WFCS.2018.8402380","van":"Lang D, Wunderlich P, Heinz M, Wisniewski L, Jasperneite J, Niggemann O, et al. Assistance System to Support Troubleshooting of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE; 2018.","havard":"D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann, C. Röcker, Assistance System to Support Troubleshooting of Complex Industrial Systems, in: 14th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, Piscataway, NJ, 2018.","bjps":"Lang D et al. (2018) Assistance System to Support Troubleshooting of Complex Industrial Systems. 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE.","mla":"Lang, Dorota, et al. “Assistance System to Support Troubleshooting of Complex Industrial Systems.” 14th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, 2018, doi:10.1109/WFCS.2018.8402380.","ufg":"Lang, Dorota et. al. (2018): Assistance System to Support Troubleshooting of Complex Industrial Systems, in: 14th IEEE International Workshop on Factory Communication Systems (WFCS), Piscataway, NJ.","ieee":"D. Lang et al., “Assistance System to Support Troubleshooting of Complex Industrial Systems,” in 14th IEEE International Workshop on Factory Communication Systems (WFCS), Imperia, Italy , 2018.","apa":"Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann, O., & Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex Industrial Systems. In 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. https://doi.org/10.1109/WFCS.2018.8402380","chicago":"Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen Jasperneite, Oliver Niggemann, and Carsten Röcker. “Assistance System to Support Troubleshooting of Complex Industrial Systems.” In 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE, 2018. https://doi.org/10.1109/WFCS.2018.8402380.","short":"D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann, C. Röcker, in: 14th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, Piscataway, NJ, 2018.","chicago-de":"Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen Jasperneite, Oliver Niggemann und Carsten Röcker. 2018. Assistance System to Support Troubleshooting of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. doi:10.1109/WFCS.2018.8402380, .","din1505-2-1":"Lang, Dorota ; Wunderlich, Paul ; Heinz, Mario ; Wisniewski, Lukasz ; Jasperneite, Jürgen ; Niggemann, Oliver ; Röcker, Carsten: Assistance System to Support Troubleshooting of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ : IEEE, 2018"},"author":[{"last_name":"Lang","first_name":"Dorota","full_name":"Lang, Dorota","id":"68941"},{"full_name":"Wunderlich, Paul","id":"52317","last_name":"Wunderlich","first_name":"Paul"},{"id":"68913","full_name":"Heinz, Mario","last_name":"Heinz","first_name":"Mario"},{"id":"1710","last_name":"Wisniewski","full_name":"Wisniewski, Lukasz","first_name":"Lukasz"},{"first_name":"Jürgen","full_name":"Jasperneite, Jürgen","id":"1899","last_name":"Jasperneite"},{"first_name":"Oliver","last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver"},{"last_name":"Röcker","id":"61525","full_name":"Röcker, Carsten","first_name":"Carsten"}],"main_file_link":[{"open_access":"1"}],"year":2018,"status":"public","publication_identifier":{"eisbn":["978-1-5386-1066-4"]},"publication":"14th IEEE International Workshop on Factory Communication Systems (WFCS)","date_created":"2021-01-08T08:26:30Z","date_updated":"2023-03-15T13:49:52Z","oa":"1","keyword":["Maintenance engineering","Adaptation models","Machine learning","Data models","Standards","Software","Bayes methods"],"language":[{"iso":"eng"}]},{"publisher":"Hochschule Mittweida","page":"18-21","status":"public","abstract":[{"lang":"ger","text":"Produkte bestehen aus einer zunehmenden Anzahl unterschiedlicher Teile. Dieser Trend hängt mit einer steigenden Variantenanzahl und der Integration zusätzlicher Produktfunktionen zusammen. Dadurch steigen die Anforderungen an Kommissionierprozesse in der Montage. Es stellt sich daher die Frage der optimalen Anordnung der Teile, um unnötige Gehwege beim Kommissionieren zu vermeiden. Im Rahmen des Beitrages wird ein Optimierungsalgorithmus vorgestellt, mit dem Bauteile so klassifiziert werden, dass Gehwege reduziert werden können. "}],"issue":"n.a.","conference":{"location":"Mittweida","name":"25. Interdisziplinäre Wissenschaftliche Konferenz Mittweida","start_date":"2018-10-24","end_date":"2018-10-25"},"year":2018,"author":[{"last_name":"Sehr","full_name":"Sehr, Philip","first_name":"Philip","id":"71582"},{"last_name":"Bendzioch","full_name":"Bendzioch, Sven","id":"71395","first_name":"Sven"},{"first_name":"Oliver","last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver"}],"publication_status":"published","citation":{"short":"P. Sehr, S. Bendzioch, O. Niggemann, Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH) (2018) 18–21.","chicago-de":"Sehr, Philip, Sven Bendzioch und Oliver Niggemann. 2018. Mathematische Optimierung der Teileanordnung in der Kommissionierung. Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), Nr. n.a.: 18–21.","din1505-2-1":"Sehr, Philip ; Bendzioch, Sven ; Niggemann, Oliver: Mathematische Optimierung der Teileanordnung in der Kommissionierung. In: Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), Hochschule Mittweida (2018), Nr. n.a., S. 18–21","van":"Sehr P, Bendzioch S, Niggemann O. Mathematische Optimierung der Teileanordnung in der Kommissionierung. Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH). 2018;(n.a.):18–21.","mla":"Sehr, Philip, et al. “Mathematische Optimierung der Teileanordnung in der Kommissionierung.” Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), no. n.a., Hochschule Mittweida, 2018, pp. 18–21.","bjps":"Sehr P, Bendzioch S and Niggemann O (2018) Mathematische Optimierung der Teileanordnung in der Kommissionierung. Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH) 18–21.","havard":"P. Sehr, S. Bendzioch, O. Niggemann, Mathematische Optimierung der Teileanordnung in der Kommissionierung, Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH). (2018) 18–21.","ufg":"Sehr, Philip et. al. (2018): Mathematische Optimierung der Teileanordnung in der Kommissionierung, in: Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH) (n.a.), S. 18–21.","apa":"Sehr, P., Bendzioch, S., & Niggemann, O. (2018). Mathematische Optimierung der Teileanordnung in der Kommissionierung. Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), (n.a.), 18–21.","chicago":"Sehr, Philip, Sven Bendzioch, and Oliver Niggemann. “Mathematische Optimierung der Teileanordnung in der Kommissionierung.” Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), no. n.a. (2018): 18–21.","ama":"Sehr P, Bendzioch S, Niggemann O. Mathematische Optimierung der Teileanordnung in der Kommissionierung. Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH). 2018;(n.a.):18-21.","ieee":"P. Sehr, S. Bendzioch, and O. Niggemann, “Mathematische Optimierung der Teileanordnung in der Kommissionierung,” Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH), no. n.a., pp. 18–21, 2018."},"title":"Mathematische Optimierung der Teileanordnung in der Kommissionierung","_id":"727","language":[{"iso":"ger"}],"date_updated":"2023-03-15T13:50:09Z","user_id":"74004","project":[{"name":"Montexas 4.0","_id":"FBB6D104-44D9-11E9-AA25-B54CDB794CE1"}],"date_created":"2019-03-13T09:23:54Z","type":"journal_article","publication_identifier":{"issn":["1437-7624"]},"publication":"Wissenschaftliche Berichte : wissenschaftliche Zeitschrift der Hochschule Mittweida (FH)"},{"conference":{"start_date":"2018-04-08","end_date":"2018-04-12","name":"13th Trends in Brewing 2018","location":"Gent"},"department":[{"_id":"DEP1308"},{"_id":"DEP4018"}],"year":"2018","author":[{"last_name":"Conradi","first_name":"F. P. ","full_name":"Conradi, F. P. "},{"first_name":"Patrick","full_name":"Wefing, Patrick","last_name":"Wefing","id":"68976"},{"full_name":"Pinkal, K.","first_name":"K.","last_name":"Pinkal"},{"full_name":"Zhang, Fan","id":"71479","last_name":"Zhang","first_name":"Fan"},{"last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876"},{"first_name":"Jan","full_name":"Schneider, Jan","id":"13209","last_name":"Schneider","orcid":"0000-0001-6401-8873"}],"status":"public","title":"Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe","citation":{"short":"F.P. Conradi, P. Wefing, K. Pinkal, F. Zhang, O. Niggemann, J. Schneider, in: 2018.","chicago-de":"Conradi, F. P. , Patrick Wefing, K. Pinkal, Fan Zhang, Oliver Niggemann und Jan Schneider. 2018. Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: .","din1505-2-1":"Conradi, F. 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(2018) Inline Progress Measurement of the SS-Amylase Rest in the Mashing Process Employing a near Infrared Transflectance Probe.","ufg":"Conradi, F.P. u. a.: Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe, in: o. Hg.: o. O. 2018.","apa":"Conradi, F. P., Wefing, P., Pinkal, K., Zhang, F., Niggemann, O., & Schneider, J. (2018). Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. 13th Trends in Brewing 2018, Gent.","chicago":"Conradi, F. P. , Patrick Wefing, K. Pinkal, Fan Zhang, Oliver Niggemann, and Jan Schneider. “Inline Progress Measurement of the SS-Amylase Rest in the Mashing Process Employing a near Infrared Transflectance Probe,” 2018.","ama":"Conradi FP, Wefing P, Pinkal K, Zhang F, Niggemann O, Schneider J. Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: ; 2018.","ieee":"F. P. Conradi, P. Wefing, K. Pinkal, F. Zhang, O. Niggemann, and J. Schneider, “Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe,” presented at the 13th Trends in Brewing 2018, Gent, 2018."},"_id":"5630","language":[{"iso":"eng"}],"date_created":"2021-04-20T12:55:03Z","type":"conference_abstract","date_updated":"2024-05-22T15:32:48Z","user_id":"83779"},{"title":"Laboratory plant for a closed loop-controlled continuous (CLCC) mashing","citation":{"bjps":"Wefing P et al. (2018) Laboratory Plant for a Closed Loop-Controlled Continuous (CLCC) Mashing.","havard":"P. Wefing, F.P. Conradi, L. Fuchs, J.W. Schoppmeier, K. Pinkal, O. Niggemann, J. Schneider, Laboratory plant for a closed loop-controlled continuous (CLCC) mashing, in: 2018.","mla":"Wefing, Patrick, et al. Laboratory Plant for a Closed Loop-Controlled Continuous (CLCC) Mashing. 2018.","ufg":"Wefing, Patrick u. a.: Laboratory plant for a closed loop-controlled continuous (CLCC) mashing, in: o. Hg.: o. O. 2018.","ama":"Wefing P, Conradi FP, Fuchs L, et al. Laboratory plant for a closed loop-controlled continuous (CLCC) mashing. In: ; 2018.","van":"Wefing P, Conradi FP, Fuchs L, Schoppmeier JW, Pinkal K, Niggemann O, et al. Laboratory plant for a closed loop-controlled continuous (CLCC) mashing. In 2018.","chicago":"Wefing, Patrick, F. P. Conradi, Lara Fuchs, J. W. Schoppmeier, K. Pinkal, Oliver Niggemann, and Jan Schneider. “Laboratory Plant for a Closed Loop-Controlled Continuous (CLCC) Mashing,” 2018.","ieee":"P. Wefing et al., “Laboratory plant for a closed loop-controlled continuous (CLCC) mashing,” presented at the 13th Trends in Brewing 2018, Gent, 2018.","apa":"Wefing, P., Conradi, F. P., Fuchs, L., Schoppmeier, J. W., Pinkal, K., Niggemann, O., & Schneider, J. (2018). Laboratory plant for a closed loop-controlled continuous (CLCC) mashing. 13th Trends in Brewing 2018, Gent.","chicago-de":"Wefing, Patrick, F. P. Conradi, Lara Fuchs, J. W. Schoppmeier, K. Pinkal, Oliver Niggemann und Jan Schneider. 2018. Laboratory plant for a closed loop-controlled continuous (CLCC) mashing. In: .","din1505-2-1":"Wefing, Patrick ; Conradi, F. P. ; Fuchs, Lara ; Schoppmeier, J. W. ; Pinkal, K. ; Niggemann, Oliver ; Schneider, Jan: Laboratory plant for a closed loop-controlled continuous (CLCC) mashing. In: , 2018","short":"P. Wefing, F.P. Conradi, L. Fuchs, J.W. Schoppmeier, K. Pinkal, O. Niggemann, J. Schneider, in: 2018."},"department":[{"_id":"DEP1308"},{"_id":"DEP4018"}],"conference":{"end_date":"2018-04-12","start_date":"2018-04-08","name":"13th Trends in Brewing 2018","location":"Gent"},"year":"2018","author":[{"full_name":"Wefing, Patrick","id":"68976","last_name":"Wefing","first_name":"Patrick"},{"last_name":"Conradi","first_name":"F. P. ","full_name":"Conradi, F. P. "},{"last_name":"Fuchs","first_name":"Lara","full_name":"Fuchs, Lara","id":"63911"},{"first_name":"J. W. ","full_name":"Schoppmeier, J. W. ","last_name":"Schoppmeier"},{"last_name":"Pinkal","full_name":"Pinkal, K.","first_name":"K."},{"last_name":"Niggemann","full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver"},{"id":"13209","first_name":"Jan","last_name":"Schneider","full_name":"Schneider, Jan","orcid":"0000-0001-6401-8873"}],"status":"public","date_created":"2021-04-20T13:00:06Z","type":"conference_abstract","date_updated":"2024-05-22T15:33:26Z","user_id":"83779","_id":"5631","language":[{"iso":"eng"}]},{"conference":{"start_date":"2018-09-17","end_date":"2018-09-19","name":"47. Deutscher Lebensmittelchemikertag 2018","location":"Berlin"},"department":[{"_id":"DEP1308"},{"_id":"DEP4018"}],"year":"2018","author":[{"first_name":"F. P. ","last_name":"Conradi","full_name":"Conradi, F. P. "},{"full_name":"Wefing, Patrick","first_name":"Patrick","id":"68976","last_name":"Wefing"},{"last_name":"Pinkal","first_name":"K.","full_name":"Pinkal, K."},{"first_name":"Fan","full_name":"Zhang, Fan","last_name":"Zhang","id":"71479"},{"last_name":"Niggemann","full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver"},{"id":"13209","last_name":"Schneider","full_name":"Schneider, Jan","first_name":"Jan","orcid":"0000-0001-6401-8873"}],"status":"public","title":"Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe","citation":{"ama":"Conradi FP, Wefing P, Pinkal K, Zhang F, Niggemann O, Schneider J. Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: ; 2018.","ieee":"F. P. Conradi, P. Wefing, K. Pinkal, F. Zhang, O. Niggemann, and J. Schneider, “Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe,” presented at the 47. Deutscher Lebensmittelchemikertag 2018, Berlin, 2018.","van":"Conradi FP, Wefing P, Pinkal K, Zhang F, Niggemann O, Schneider J. Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In 2018.","havard":"F.P. Conradi, P. Wefing, K. Pinkal, F. Zhang, O. Niggemann, J. Schneider, Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe, in: 2018.","mla":"Conradi, F. P., et al. Inline Progress Measurement of the SS-Amylase Rest in the Mashing Process Employing a near Infrared Transflectance Probe. 2018.","bjps":"Conradi FP et al. (2018) Inline Progress Measurement of the SS-Amylase Rest in the Mashing Process Employing a near Infrared Transflectance Probe.","ufg":"Conradi, F.P. u. a.: Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe, in: o. Hg.: o. O. 2018.","apa":"Conradi, F. P., Wefing, P., Pinkal, K., Zhang, F., Niggemann, O., & Schneider, J. (2018). Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. 47. Deutscher Lebensmittelchemikertag 2018, Berlin.","chicago":"Conradi, F. P. , Patrick Wefing, K. Pinkal, Fan Zhang, Oliver Niggemann, and Jan Schneider. “Inline Progress Measurement of the SS-Amylase Rest in the Mashing Process Employing a near Infrared Transflectance Probe,” 2018.","short":"F.P. Conradi, P. Wefing, K. Pinkal, F. Zhang, O. Niggemann, J. Schneider, in: 2018.","chicago-de":"Conradi, F. P. , Patrick Wefing, K. Pinkal, Fan Zhang, Oliver Niggemann und Jan Schneider. 2018. Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: .","din1505-2-1":"Conradi, F. P. ; Wefing, Patrick ; Pinkal, K. ; Zhang, Fan ; Niggemann, Oliver ; Schneider, Jan: Inline progress measurement of the ß-amylase rest in the mashing process employing a near infrared transflectance probe. In: , 2018"},"_id":"5633","language":[{"iso":"eng"}],"date_created":"2021-04-20T12:55:03Z","type":"conference_abstract","date_updated":"2024-05-22T16:08:39Z","user_id":"83779"},{"language":[{"iso":"eng"}],"_id":"4787","publication":"23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","date_created":"2021-02-02T08:22:28Z","type":"conference","user_id":"68554","date_updated":"2023-03-15T13:49:55Z","year":2018,"author":[{"full_name":"Bunte, Andreas","first_name":"Andreas","last_name":"Bunte","id":"58885"},{"first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876","last_name":"Niggemann"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"}],"department":[{"_id":"DEP5023"}],"status":"public","title":"Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA","citation":{"short":"A. Bunte, O. Niggemann, B. Stein, in: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.","chicago-de":"Bunte, Andreas, Oliver Niggemann und Benno Stein. 2018. Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).","din1505-2-1":"Bunte, Andreas ; Niggemann, Oliver ; Stein, Benno: Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018","apa":"Bunte, A., Niggemann, O., & Stein, B. (2018). Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).","chicago":"Bunte, Andreas, Oliver Niggemann, and Benno Stein. “Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA.” In 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.","van":"Bunte A, Niggemann O, Stein B. Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2018.","ufg":"Bunte, Andreas et. al. (2018): Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA, in: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).","mla":"Bunte, Andreas, et al. “Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA.” 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.","havard":"A. Bunte, O. Niggemann, B. Stein, Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA, in: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.","bjps":"Bunte A, Niggemann O and Stein B (2018) Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).","ieee":"A. Bunte, O. Niggemann, and B. Stein, “Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA,” in 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.","ama":"Bunte A, Niggemann O, Stein B. Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). ; 2018."}},{"date_updated":"2023-03-15T13:49:55Z","user_id":"68554","type":"conference","date_created":"2021-02-02T08:23:30Z","publication":"International Conference on Agents and Artificial Intelligence (ICAART)","language":[{"iso":"eng"}],"place":"Madeira, Portugal","_id":"4788","citation":{"ieee":"A. Bunte, P. Li, and O. Niggemann, “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach,” in International Conference on Agents and Artificial Intelligence (ICAART), 2018.","ama":"Bunte A, Li P, Niggemann O. Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In: International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS; 2018.","apa":"Bunte, A., Li, P., & Niggemann, O. (2018). Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.","chicago":"Bunte, Andreas, Peng Li, and Oliver Niggemann. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” In International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS, 2018.","van":"Bunte A, Li P, Niggemann O. Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In: International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS; 2018.","ufg":"Bunte, Andreas et. al. (2018): Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach, in: International Conference on Agents and Artificial Intelligence (ICAART), Madeira, Portugal.","bjps":"Bunte A, Li P and Niggemann O (2018) Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.","mla":"Bunte, Andreas, et al. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” International Conference on Agents and Artificial Intelligence (ICAART), SCITEPRESS, 2018.","havard":"A. Bunte, P. Li, O. Niggemann, Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach, in: International Conference on Agents and Artificial Intelligence (ICAART), SCITEPRESS, Madeira, Portugal, 2018.","short":"A. Bunte, P. Li, O. Niggemann, in: International Conference on Agents and Artificial Intelligence (ICAART), SCITEPRESS, Madeira, Portugal, 2018.","din1505-2-1":"Bunte, Andreas ; Li, Peng ; Niggemann, Oliver: Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In: International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal : SCITEPRESS, 2018","chicago-de":"Bunte, Andreas, Peng Li und Oliver Niggemann. 2018. Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. In: International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS."},"title":"Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach","status":"public","publisher":"SCITEPRESS","department":[{"_id":"DEP5023"}],"year":2018,"author":[{"id":"58885","last_name":"Bunte","full_name":"Bunte, Andreas","first_name":"Andreas"},{"last_name":"Li","id":"58937","full_name":"Li, Peng","first_name":"Peng"},{"first_name":"Oliver","id":"10876","full_name":"Niggemann, Oliver","last_name":"Niggemann"}]},{"_id":"4254","place":"Cham","type":"conference","intvolume":" 10410","user_id":"15514","abstract":[{"text":"The current trend of integrating machines and factories into cyber-physical systems (CPS) creates an enormous complexity for operators of such systems. Especially the search for the root cause of cascading failures becomes highly time-consuming. Within this paper, we address the question on how to help human users to better and faster understand root causes of such situations. We propose a concept of interactive alarm flood reduction and present the implementation of a first vertical prototype for such a system. We consider this prototype as a first artifact to be discussed by the research community and aim towards an incremental further development of the system in order to support humans in complex error situations.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"conference":{"start_date":"2017-08-29","end_date":"2017-09-01","location":"Reggio, Italy","name":"International Cross-Domain Conference, CD-MAKE 2017"},"publisher":"Springer","series_title":"Lecture Notes in Computer Science ","publication_status":"published","oa":"1","keyword":["Alarm flood reduction","Machine learning","Assistive system"],"language":[{"iso":"eng"}],"publication":" Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings","publication_identifier":{"isbn":["978-3-319-66807-9"],"eisbn":["9783319668086 "]},"date_created":"2020-12-10T13:40:04Z","editor":[{"full_name":"Holzinger, Andreas","first_name":"Andreas","last_name":"Holzinger"}],"date_updated":"2023-03-15T13:49:51Z","year":2017,"main_file_link":[{"open_access":"1"}],"author":[{"id":"61868","first_name":"Sebastian","last_name":"Büttner","full_name":"Büttner, Sebastian"},{"id":"52317","full_name":"Wunderlich, Paul","last_name":"Wunderlich","first_name":"Paul"},{"last_name":"Heinz","first_name":"Mario","full_name":"Heinz, Mario","id":"68913"},{"id":"10876","last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver"},{"last_name":"Röcker","id":"61525","first_name":"Carsten","full_name":"Röcker, Carsten"}],"status":"public","page":"69-82","title":"Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction","citation":{"ieee":"S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, and C. Röcker, “Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction,” in Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Reggio, Italy, 2017, vol. 10410, pp. 69–82.","ama":"Büttner S, Wunderlich P, Heinz M, Niggemann O, Röcker C. Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In: Holzinger A, ed. Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings. Vol 10410. Lecture Notes in Computer Science . Cham: Springer; 2017:69-82.","chicago":"Büttner, Sebastian, Paul Wunderlich, Mario Heinz, Oliver Niggemann, and Carsten Röcker. “Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.” In Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, edited by Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham: Springer, 2017.","apa":"Büttner, S., Wunderlich, P., Heinz, M., Niggemann, O., & Röcker, C. (2017). Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (Vol. 10410, pp. 69–82). Cham: Springer.","ufg":"Büttner, Sebastian et. al. (2017): Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: Andreas Holzinger (Hg.): Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (=Lecture Notes in Computer Science 10410), Cham, S. 69–82.","mla":"Büttner, Sebastian, et al. “Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.” Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, edited by Andreas Holzinger, vol. 10410, Springer, 2017, pp. 69–82.","bjps":"Büttner S et al. (2017) Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In Holzinger A (ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, vol. 10410. Cham: Springer, pp. 69–82.","havard":"S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, C. Röcker, Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Springer, Cham, 2017: pp. 69–82.","van":"Büttner S, Wunderlich P, Heinz M, Niggemann O, Röcker C. Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In: Holzinger A, editor. Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 84, 89, 129 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings. Cham: Springer; 2017. p. 69–82. (Lecture Notes in Computer Science ; vol. 10410).","din1505-2-1":"Büttner, Sebastian ; Wunderlich, Paul ; Heinz, Mario ; Niggemann, Oliver ; Röcker, Carsten: Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In: Holzinger, A. (Hrsg.): Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Lecture Notes in Computer Science . Bd. 10410. Cham : Springer, 2017, S. 69–82","chicago-de":"Büttner, Sebastian, Paul Wunderlich, Mario Heinz, Oliver Niggemann und Carsten Röcker. 2017. Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In: Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, hg. von Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham: Springer.","short":"S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, C. Röcker, in: A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Springer, Cham, 2017, pp. 69–82."},"volume":10410},{"place":"Frankfurt, Germany","language":[{"iso":"eng"}],"_id":"4595","oa":"1","user_id":"15514","related_material":{"link":[{"relation":"other","url":"https://www.researchgate.net/publication/316432275_Industrie-40-Kommunikation_mit_OPC_UA"}]},"date_updated":"2023-03-15T13:49:54Z","publication_identifier":{"isbn":[" 978-3-8163-0709-9"]},"type":"book","date_created":"2021-01-28T09:54:58Z","status":"public","publisher":"VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.","main_file_link":[{"open_access":"1"}],"author":[{"full_name":"Pethig, Florian","first_name":"Florian","last_name":"Pethig"},{"first_name":"Sebastian","last_name":"Schriegel","full_name":"Schriegel, Sebastian"},{"first_name":"Alexander","full_name":"Maier, Alexander","last_name":"Maier","id":"11158"},{"first_name":"Jens","full_name":"Otto, Jens","last_name":"Otto"},{"last_name":"Windmann","id":"58525","full_name":"Windmann, Stefan","first_name":"Stefan"},{"first_name":"Björn","last_name":"Böttcher","full_name":"Böttcher, Björn"},{"last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver","first_name":"Oliver"},{"id":"1899","first_name":"Jürgen","full_name":"Jasperneite, Jürgen","last_name":"Jasperneite"}],"year":2017,"department":[{"_id":"DEP5023"},{"_id":"DEP5019"}],"citation":{"van":"Pethig F, Schriegel S, Maier A, Otto J, Windmann S, Böttcher B, et al. Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.; 2017.","mla":"Pethig, Florian, et al. Industrie 4.0 Communication Guideline Based on OPC UA. VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., 2017.","bjps":"Pethig F et al. (2017) Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.","havard":"F. Pethig, S. Schriegel, A. Maier, J. Otto, S. Windmann, B. Böttcher, O. Niggemann, J. Jasperneite, Industrie 4.0 Communication Guideline Based on OPC UA, VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., Frankfurt, Germany, 2017.","ufg":"Pethig, Florian et. al. (2017): Industrie 4.0 Communication Guideline Based on OPC UA, Frankfurt, Germany.","apa":"Pethig, F., Schriegel, S., Maier, A., Otto, J., Windmann, S., Böttcher, B., … Jasperneite, J. (2017). Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.","chicago":"Pethig, Florian, Sebastian Schriegel, Alexander Maier, Jens Otto, Stefan Windmann, Björn Böttcher, Oliver Niggemann, and Jürgen Jasperneite. Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., 2017.","short":"F. Pethig, S. Schriegel, A. Maier, J. Otto, S. Windmann, B. Böttcher, O. Niggemann, J. Jasperneite, Industrie 4.0 Communication Guideline Based on OPC UA, VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., Frankfurt, Germany, 2017.","din1505-2-1":"Pethig, Florian ; Schriegel, Sebastian ; Maier, Alexander ; Otto, Jens ; Windmann, Stefan ; Böttcher, Björn ; Niggemann, Oliver ; Jasperneite, Jürgen: Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany : VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., 2017","chicago-de":"Pethig, Florian, Sebastian Schriegel, Alexander Maier, Jens Otto, Stefan Windmann, Björn Böttcher, Oliver Niggemann und Jürgen Jasperneite. 2017. Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.","ama":"Pethig F, Schriegel S, Maier A, et al. Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V.; 2017.","ieee":"F. Pethig et al., Industrie 4.0 Communication Guideline Based on OPC UA. Frankfurt, Germany: VDMA Guideline, Publisher: VDMA Verlag GmbH, Editor: Verband Deutscher Maschinen- und Anlagenbau e.V., 2017."},"publication_status":"published","title":"Industrie 4.0 Communication Guideline Based on OPC UA"},{"citation":{"bjps":"Kleineberg T, Hinrichsen S and Niggemann O (2017) Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In Gesellschaft für Arbeitswissenschaft e.V (GfA) (ed.), Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V. Dortmund: GfA-Press.","mla":"Kleineberg, Tim, et al. “Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage.” Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., edited by Gesellschaft für Arbeitswissenschaft e.V (GfA), no. 30, GfA-Press, 2017.","havard":"T. Kleineberg, S. Hinrichsen, O. Niggemann, Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage, in: Gesellschaft für Arbeitswissenschaft e.V (GfA) (Ed.), Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., GfA-Press, Dortmund, 2017.","ufg":"Kleineberg, Tim et. al. (2017): Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage, in: Gesellschaft für Arbeitswissenschaft e.V (GfA) (Hg.): Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., Dortmund.","van":"Kleineberg T, Hinrichsen S, Niggemann O. Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In: Gesellschaft für Arbeitswissenschaft e.V (GfA), editor. Bericht zum 63 Frühjahrskongress der Gesellschaft für Arbeitswissenschaft eV. Dortmund: GfA-Press; 2017.","chicago":"Kleineberg, Tim, Sven Hinrichsen, and Oliver Niggemann. “Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage.” In Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., edited by Gesellschaft für Arbeitswissenschaft e.V (GfA). Dortmund: GfA-Press, 2017.","apa":"Kleineberg, T., Hinrichsen, S., & Niggemann, O. (2017). Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In Gesellschaft für Arbeitswissenschaft e.V (GfA) (Ed.), Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V. Dortmund: GfA-Press.","din1505-2-1":"Kleineberg, Tim ; Hinrichsen, Sven ; Niggemann, Oliver: Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In: Gesellschaft für Arbeitswissenschaft e.V (GfA) (Hrsg.): Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V.. Dortmund : GfA-Press, 2017","chicago-de":"Kleineberg, Tim, Sven Hinrichsen und Oliver Niggemann. 2017. Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In: Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., hg. von Gesellschaft für Arbeitswissenschaft e.V (GfA). Dortmund: GfA-Press.","short":"T. Kleineberg, S. Hinrichsen, O. Niggemann, in: Gesellschaft für Arbeitswissenschaft e.V (GfA) (Ed.), Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., GfA-Press, Dortmund, 2017.","ama":"Kleineberg T, Hinrichsen S, Niggemann O. Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage. In: Gesellschaft für Arbeitswissenschaft e.V (GfA), ed. Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V. Dortmund: GfA-Press; 2017.","ieee":"T. Kleineberg, S. Hinrichsen, and O. Niggemann, “Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage,” in Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V., Brugg-Windisch, 2017, no. 30."},"publication_status":"published","title":"Auswirkungen von Assistenzsystemen auf die Arbeit in der manuellen Montage","publisher":"GfA-Press","status":"public","abstract":[{"lang":"ger","text":"Sich verkürzende Innovations- und Produktlebenszyklen sowie eine zunehmende Variantenvielfalt verbunden mit kleineren Losgrößen bis hin zur kundenindividuellen Produktkonfiguration führen zu veränderten Anforderungen an die Gestaltung von Montagesystemen. Gleichzeitig bieten technologische Entwicklungen auf dem Gebiet der Assistenzsysteme neue Gestaltungsmöglichkeiten, Beschäftigte bei der Ausführung ihrer Arbeitsprozesse zu unterstützten. Der vorliegende Beitrag zeigt anhand eines Fallbeispiels, eines Montagearbeitsplatzes aus der SmartFactoryOWL in Lemgo, wie ein Montagearbeitsplatz über Assistenzfunktionen weiter entwickelt wurde und welche Auswirkungen diese Entwicklungen auf die Arbeit haben. Der Arbeitsplatz wurde im Rahmen eines Kooperationsprojektes des Labors für Industrial Engineering der Hochschule Ostwestfalen-Lippe und der Unternehmen Turck und Brandt Kantentechnik in der SmartFactory-OWL realisiert. Er verfügt über ein Assistenzsystem, welches dem Monteur auftrags- und arbeitsschrittbezogene Informationen bereitstellt. Das System besteht maßgeblich aus einem Pick-to-light System verbunden mit einem Touchscreen zur Visualisierung der Informationen. Der Montageauftrag wird über eine RFID-Applikation angemeldet. Damit lassen sich neue Produktvarianten flexibel hinzufügen und bestehende ändern. Zudem können die über Sensoren erfassten Daten zu Kennzahlen aggregiert und entsprechend der Anforderungen der Nutzer visualisiert werden. Im Rahmen des Beitrages werden die Auswirkungen dieser technologischen Weiterentwicklungen auf die Arbeit erörtert."}],"issue":"30","author":[{"first_name":"Tim","last_name":"Kleineberg","id":"65024","full_name":"Kleineberg, Tim"},{"full_name":"Hinrichsen, Sven","first_name":"Sven","last_name":"Hinrichsen","id":"49010"},{"first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876","last_name":"Niggemann"}],"ddc":["620"],"year":2017,"conference":{"start_date":"2017-02-15","end_date":"2017-02-17","name":"Soziotechnische Gestaltung des digitalen Wandels - Kreativ, Innovativ, Sinnhaft ","location":"Brugg-Windisch"},"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"corporate_editor":["Gesellschaft für Arbeitswissenschaft e.V (GfA)"],"user_id":"49010","date_updated":"2023-03-15T13:49:42Z","publication_identifier":{"isbn":["978-3-936804-22-5"]},"publication":"Bericht zum 63. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e.V.","type":"conference","date_created":"2018-11-26T15:07:37Z","_id":"267","place":"Dortmund","language":[{"iso":"ger"}]},{"status":"public","author":[{"full_name":"Bunte, Andreas","first_name":"Andreas","id":"58885","last_name":"Bunte"},{"full_name":"Li, Peng","first_name":"Peng","last_name":"Li","id":"58937"},{"first_name":"Oliver","last_name":"Niggemann","id":"10876","full_name":"Niggemann, Oliver"}],"year":2017,"department":[{"_id":"DEP5023"}],"citation":{"chicago-de":"Bunte, Andreas, Peng Li und Oliver Niggemann. 2017. Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).","din1505-2-1":"Bunte, Andreas ; Li, Peng ; Niggemann, Oliver: Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017","short":"A. Bunte, P. Li, O. Niggemann, in: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.","ufg":"Bunte, Andreas et. al. (2017): Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems, in: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).","havard":"A. Bunte, P. Li, O. Niggemann, Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems, in: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.","mla":"Bunte, Andreas, et al. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.","bjps":"Bunte A, Li P and Niggemann O (2017) Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).","van":"Bunte A, Li P, Niggemann O. Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 40 (ML4CPS). 2017.","ama":"Bunte A, Li P, Niggemann O. Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). ; 2017.","chicago":"Bunte, Andreas, Peng Li, and Oliver Niggemann. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” In 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.","apa":"Bunte, A., Li, P., & Niggemann, O. (2017). Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. In 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).","ieee":"A. Bunte, P. Li, and O. Niggemann, “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems,” in 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017."},"title":"Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems","_id":"4789","language":[{"iso":"eng"}],"user_id":"68554","date_updated":"2023-03-15T13:49:55Z","publication":"3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS)","type":"conference","date_created":"2021-02-02T08:24:27Z"},{"date_created":"2021-02-02T08:11:42Z","type":"conference","publication":"Tagungsband des Entwicklerforums \"HMI – Komponenten Lösungen\"","date_updated":"2023-03-15T13:49:55Z","user_id":"68554","_id":"4782","language":[{"iso":"eng"}],"place":"München","title":"Natürlichsprachliche Schnittstelle für Produktionssysteme","citation":{"van":"Bunte A, Diedrich A, Niggemann O. Natürlichsprachliche Schnittstelle für Produktionssysteme. 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In: Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen.” München: HMI; 2016.","ieee":"A. Bunte, A. Diedrich, and O. Niggemann, “Natürlichsprachliche Schnittstelle für Produktionssysteme,” in Tagungsband des Entwicklerforums “HMI – Komponenten Lösungen,” 2016."},"abstract":[{"text":"Die zunehmende Individualisierung von Produkten stellt neue Anforderun-\r\ngen an Produktionsanlagen, wodurch deren Komplexit¨at steigt. Damit komplexe An-\r\nlagen effizient bedient werden k¨onnen, vor allem im Fall eines Fehlers, sind neue Inter-\r\naktionskonzepte erforderlich. In dieser Arbeit wurde ein Konzept f¨ur die Sprachverar-\r\nbeitung entworfen und prototypisch implementiert. Zus¨atzlich zur Sprachverarbeitung\r\nist eine semantische Schicht notwendig um eine Steuerung ¨uber Sprache zu realisieren","lang":"ger"}],"department":[{"_id":"DEP5023"}],"main_file_link":[{"url":"https://www.researchgate.net/publication/304525199_Naturlichsprachliche_Schnittstelle_fur_Produktionssysteme"}],"author":[{"full_name":"Bunte, Andreas","first_name":"Andreas","last_name":"Bunte","id":"58885"},{"first_name":"Alexander","last_name":"Diedrich","full_name":"Diedrich, Alexander"},{"last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876"}],"year":2016,"publisher":"HMI","status":"public"},{"department":[{"_id":"DEP5023"}],"author":[{"first_name":"Andreas","last_name":"Bunte","full_name":"Bunte, Andreas","id":"58885"},{"last_name":"Diedrich","first_name":"Alexander","full_name":"Diedrich, Alexander"},{"id":"10876","first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"year":2016,"status":"public","title":"Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems","citation":{"van":"Bunte A, Diedrich A, Niggemann O. 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In: Handbuch Industrie 4.0 Bd. 2, hg. von Birgit Vogel-Hauser, Thomas Bauernhansl, und Michael ten Hompel. Berlin, Heidelberg: Springer Berlin Heidelberg.","short":"O. Niggemann, G. Biswas, H. Khorasgani, S. Volgmann, A. Bunte, in: B. Vogel-Hauser, T. Bauernhansl, M. ten Hompel (Eds.), Handbuch Industrie 4.0 Bd. 2, Springer Berlin Heidelberg, Berlin, Heidelberg, 2016."},"title":"Datenanalyse in der intelligenten Fabrik"},{"place":"Lemgo","language":[{"iso":"ger"}],"_id":"4863","user_id":"68554","date_updated":"2023-03-15T13:49:56Z","publication":"Vortrag anlässlich des 50 jährigen Bestehens der Lemgoer Elektrotechnik","type":"conference","date_created":"2021-02-02T13:35:25Z","status":"public","author":[{"full_name":"Jasperneite, Jürgen","first_name":"Jürgen","last_name":"Jasperneite","id":"1899"},{"full_name":"Niggemann, Oliver","first_name":"Oliver","id":"10876","last_name":"Niggemann"}],"year":2016,"department":[{"_id":"DEP5023"}],"citation":{"ieee":"J. Jasperneite and O. 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Lemgo."},"title":"Wie intelligent werden Maschinen?"},{"citation":{"short":"J. Jasperneite, S. Hinrichsen, O. Niggemann, Informatik-Spektrum 38 (2015) 183–190.","din1505-2-1":"Jasperneite, Jürgen ; Hinrichsen, Sven ; Niggemann, Oliver: ,,Plug-and-Produce“ für Fertigungssysteme - Anwendungsfälle und Lösungsansätze. In: Informatik-Spektrum Bd. 38, Springer-Verlag GmbH (2015), Nr. 3, S. 183–190","chicago-de":"Jasperneite, Jürgen, Sven Hinrichsen und Oliver Niggemann. 2015. ,,Plug-and-Produce“ für Fertigungssysteme - Anwendungsfälle und Lösungsansätze. Informatik-Spektrum 38, Nr. 3: 183–190.","van":"Jasperneite J, Hinrichsen S, Niggemann O. ,,Plug-and-Produce“ für Fertigungssysteme - Anwendungsfälle und Lösungsansätze. Informatik-Spektrum. 2015;38(3):183–90.","ama":"Jasperneite J, Hinrichsen S, Niggemann O. ,,Plug-and-Produce“ für Fertigungssysteme - Anwendungsfälle und Lösungsansätze. Informatik-Spektrum. 2015;38(3):183-190.","ufg":"Jasperneite, Jürgen et. al. 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Hierdurch entsteht in vielen Branchen der Bedarf nach wandlungsfähigen Fertigungssystemen. Wandlungsfähigkeit oder Rekonfiguration bedeutet, ein Fertigungssystem mit einfachen Mitteln umbauen zu können, um die Systemfunktionen an veränderte oder neue Anforderungen strukturell anzupassen. Diese Anpassungen sollten möglichst ohne Experten erfolgen können. Dazu kann das an die Computertechnik angelehnte Prinzip des „Plug and Produce“ vorteilhaft genutzt werden. In diesem Beitrag wird dieses Prinzip an zwei Fertigungssystemen der Smart Factory OWL, einer gemeinsamen Initiative der Fraunhofer-Gesellschaft und der Hochschule Ostwestfalen-Lippe in Lemgo, erläutert.","lang":"ger"}],"issue":"3","department":[{"_id":"DEP1305"}],"intvolume":" 38","user_id":"45673","type":"journal_article","_id":"428"},{"citation":{"short":"O. Niggemann, V. Lohweg, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.","din1505-2-1":"Niggemann, Oliver ; Lohweg, Volker: On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA, 2015","chicago-de":"Niggemann, Oliver und Volker Lohweg. 2015. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.","ama":"Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA; 2015.","van":"Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA; 2015.","havard":"O. Niggemann, V. Lohweg, On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.","mla":"Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda.” Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), 2015.","bjps":"Niggemann O and Lohweg V (2015) On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.","ufg":"Niggemann, Oliver/Lohweg, Volker (2015): On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA.","ieee":"O. Niggemann and V. Lohweg, “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda,” in Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), 2015.","apa":"Niggemann, O., & Lohweg, V. (2015). On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.","chicago":"Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda.” In Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA, 2015."},"title":"On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda","status":"public","abstract":[{"text":"Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource ef- ficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of- the-art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps.\r\n","lang":"eng"}],"department":[{"_id":"DEP5023"}],"year":2015,"author":[{"first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876","last_name":"Niggemann"},{"full_name":"Lohweg, Volker","last_name":"Lohweg","first_name":"Volker","id":"1804","orcid":"0000-0002-3325-7887"}],"main_file_link":[{"url":"https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9530/9691","open_access":"1"}],"date_updated":"2023-03-15T13:49:39Z","user_id":"68554","date_created":"2019-12-04T12:43:12Z","type":"conference","publication":"Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)","_id":"2167","language":[{"iso":"eng"}],"keyword":["Cyber-Physical Systems","Machine Learning","Diagnosis","Anomaly Detection"],"place":"Austin, Texas, USA","oa":"1"},{"title":"Kognitive Architektur zum Konzeptlernen in technischen Systemen","citation":{"chicago-de":"Diedrich, Alexander, Andreas Bunte, Alexander Maier und Oliver Niggemann. 2015. 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Paris, France; 2015."},"_id":"4794","place":"Paris, France","language":[{"iso":"eng"}],"publication":"International Workshop on the Principles of Diagnosis (DX)","type":"conference","date_created":"2021-02-02T08:37:49Z","user_id":"68554","date_updated":"2023-03-15T13:49:55Z"},{"date_updated":"2023-03-15T13:49:55Z","user_id":"68554","date_created":"2021-02-02T09:08:09Z","type":"conference","publication":"Automation 2015","language":[{"iso":"ger"}],"place":"Baden-Baden","_id":"4802","citation":{"short":"B. Böttcher, N. Moriz, O. Niggemann, in: Automation 2015, VDI-Verlag, Baden-Baden, 2015.","din1505-2-1":"Böttcher, Björn ; Moriz, Natalia ; Niggemann, Oliver: Intelligente Entwurfsassistenz für Automatisierungssysteme - Vorteile deklarativer Paradigmen im Systementwurf. In: Automation 2015. Baden-Baden : VDI-Verlag, 2015","chicago-de":"Böttcher, Björn, Natalia Moriz und Oliver Niggemann. 2015. 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Konzepte und Anwendungsfälle für die intelligente Fabrik. In: Bauernhansl T, ten Hompel M, Vogel-Heuser B, eds. Industrie 4.0 in Produktion, Automatisierung Und Logistik . Springer-Verlag; 2014.","ieee":"O. Niggemann and J. Jasperneite, “Konzepte und Anwendungsfälle für die intelligente Fabrik,” in Industrie 4.0 in Produktion, Automatisierung und Logistik , T. Bauernhansl, M. ten Hompel, and B. Vogel-Heuser, Eds. Springer-Verlag, 2014.","din1505-2-1":"Niggemann, Oliver ; Jasperneite, Jürgen: Konzepte und Anwendungsfälle für die intelligente Fabrik. In: Bauernhansl, T. ; ten Hompel, M. ; Vogel-Heuser, B. (Hrsg.): Industrie 4.0 in Produktion, Automatisierung und Logistik  : Springer-Verlag, 2014","chicago-de":"Niggemann, Oliver und Jürgen Jasperneite. 2014. Konzepte und Anwendungsfälle für die intelligente Fabrik. In: Industrie 4.0 in Produktion, Automatisierung und Logistik , hg. von Thomas Bauernhansl, Michael ten Hompel, und Birgit Vogel-Heuser. Springer-Verlag.","short":"O. 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Usländer, ATP Edition - Automatisierungstechnische Praxis (2014).","chicago-de":"Frey, Christian, Michael Heinzmann, Jürgen Jasperneite, Oliver Niggemann, Olaf Sauer, Miriam Schleipen und Thomas Usländer. 2014. IKT in der Fabrik der Zukunft - Ein Diskussionsbeitrag zu Industrie 4.0. ATP edition - Automatisierungstechnische Praxis.","din1505-2-1":"Frey, Christian ; Heinzmann, Michael ; Jasperneite, Jürgen ; Niggemann, Oliver ; Sauer, Olaf ; Schleipen, Miriam ; Usländer, Thomas: IKT in der Fabrik der Zukunft - Ein Diskussionsbeitrag zu Industrie 4.0. In: ATP edition - Automatisierungstechnische Praxis. München, DIV Vulkan Verlag (2014)","ieee":"C. Frey et al., “IKT in der Fabrik der Zukunft - Ein Diskussionsbeitrag zu Industrie 4.0,” ATP edition - Automatisierungstechnische Praxis, 2014.","ama":"Frey C, Heinzmann M, Jasperneite J, et al. IKT in der Fabrik der Zukunft - Ein Diskussionsbeitrag zu Industrie 4.0. 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Niggemann, H. Borcherding, M. Köster, S. Windmann, M. Ehlich, Werkstattstechnik : wt (2013) 416–422.","din1505-2-1":"Niggemann, Oliver ; Borcherding, Holger ; Köster, Markus ; Windmann, Stefan ; Ehlich, Martin: Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. In: Werkstattstechnik : wt. Berlin, Springer (2013), Nr. 5, S. 416–422","chicago-de":"Niggemann, Oliver, Holger Borcherding, Markus Köster, Stefan Windmann und Martin Ehlich. 2013. Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. Werkstattstechnik : wt, Nr. 5: 416–422.","van":"Niggemann O, Borcherding H, Köster M, Windmann S, Ehlich M. Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. Werkstattstechnik : wt. 2013;(5):416–22.","havard":"O. Niggemann, H. Borcherding, M. Köster, S. Windmann, M. Ehlich, Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig, Werkstattstechnik : wt. (2013) 416–422.","bjps":"Niggemann O et al. (2013) Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. Werkstattstechnik : wt 416–422.","mla":"Niggemann, Oliver, et al. “Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig.” Werkstattstechnik : wt, no. 5, Springer, 2013, pp. 416–22.","ufg":"Niggemann, Oliver et. al. (2013): Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig, in: Werkstattstechnik : wt (5), S. 416–422.","apa":"Niggemann, O., Borcherding, H., Köster, M., Windmann, S., & Ehlich, M. (2013). Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. Werkstattstechnik : wt, (5), 416–422.","chicago":"Niggemann, Oliver, Holger Borcherding, Markus Köster, Stefan Windmann, and Martin Ehlich. “Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig.” Werkstattstechnik : wt, no. 5 (2013): 416–22.","ama":"Niggemann O, Borcherding H, Köster M, Windmann S, Ehlich M. Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig. Werkstattstechnik : wt. 2013;(5):416-422.","ieee":"O. Niggemann, H. Borcherding, M. Köster, S. Windmann, and M. Ehlich, “Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig,” Werkstattstechnik : wt, no. 5, pp. 416–422, 2013."},"publication_status":"published","file":[{"access_level":"local","date_updated":"2020-12-08T10:27:46Z","relation":"main_file","creator":"czr-e2t","file_size":3009760,"file_id":"4200","file_name":"document.pdf","date_created":"2020-12-08T10:27:46Z","content_type":"application/pdf"}],"title":"Energieeffizienz in der Intralogistik : Elektrische Antriebstechnik - intelligent und nachhaltig"},{"language":[{"iso":"eng"}],"place":"Bochum","_id":"4276","date_updated":"2023-03-15T13:49:51Z","user_id":"74004","type":"conference","date_created":"2020-12-14T10:38:54Z","publication":"11th International IEEE Conference on Industrial Informatics","publication_identifier":{"eisbn":["978-1-4799-0752-6"]},"page":"194 - 199","status":"public","publisher":"IEEE","department":[{"_id":"DEP6020"},{"_id":"DEP5018"}],"conference":{"name":"11th International IEEE Conference on Industrial Informatics","location":"Bochum","end_date":"2013-07-31","start_date":"20013-07-29"},"author":[{"first_name":"Stefan","id":"58525","last_name":"Windmann","full_name":"Windmann, Stefan"},{"first_name":"Shuo","full_name":"Jiao, Shuo","last_name":"Jiao"},{"id":"10876","first_name":"Oliver","last_name":"Niggemann","full_name":"Niggemann, Oliver"},{"last_name":"Borcherding","id":"1693","full_name":"Borcherding, Holger","first_name":"Holger"}],"year":2013,"abstract":[{"lang":"eng","text":"In the presented work, the detection of anomalous energy consumption in hybrid industrial production systems is investigated. A model-based approach with a timed hybrid automaton as overall system model is employed for anomaly detection. The approach is based on the assumption of several system modes, i.e. phases with continuous system behavior. Transitions between the modes are attributed to discrete control events such as on/off signals. The underlying discrete event system which comprises both system modes and transitions is modeled as finite state machine. The focus of this paper is set on the modeling of the energy consumption in the particular system modes. Sequences of stochastic state space models are employed for this purpose. Model learning and anomaly detection for this approach are considered. The proposed approach is further evaluated in a small model factory. The experimental results show significant improvements compared to existing approaches to anomaly detection in hybrid industrial systems."}],"publication_status":"published","citation":{"ufg":"Windmann, Stefan et. al. (2013): A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems, in: 11th International IEEE Conference on Industrial Informatics, Bochum, S. 194–199.","havard":"S. Windmann, S. Jiao, O. Niggemann, H. Borcherding, A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems, in: 11th International IEEE Conference on Industrial Informatics, IEEE, Bochum, 2013: pp. 194–199.","mla":"Windmann, Stefan, et al. “A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems.” 11th International IEEE Conference on Industrial Informatics, IEEE, 2013, pp. 194–99.","bjps":"Windmann S et al. (2013) A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. 11th International IEEE Conference on Industrial Informatics. Bochum: IEEE, pp. 194–199.","van":"Windmann S, Jiao S, Niggemann O, Borcherding H. A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In: 11th International IEEE Conference on Industrial Informatics. Bochum: IEEE; 2013. p. 194–9.","ama":"Windmann S, Jiao S, Niggemann O, Borcherding H. A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In: 11th International IEEE Conference on Industrial Informatics. Bochum: IEEE; 2013:194-199.","chicago":"Windmann, Stefan, Shuo Jiao, Oliver Niggemann, and Holger Borcherding. “A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems.” In 11th International IEEE Conference on Industrial Informatics, 194–99. Bochum: IEEE, 2013.","apa":"Windmann, S., Jiao, S., Niggemann, O., & Borcherding, H. (2013). A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In 11th International IEEE Conference on Industrial Informatics (pp. 194–199). Bochum: IEEE.","ieee":"S. Windmann, S. Jiao, O. Niggemann, and H. Borcherding, “A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems,” in 11th International IEEE Conference on Industrial Informatics, Bochum, 2013, pp. 194–199.","chicago-de":"Windmann, Stefan, Shuo Jiao, Oliver Niggemann und Holger Borcherding. 2013. A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In: 11th International IEEE Conference on Industrial Informatics, 194–199. Bochum: IEEE.","din1505-2-1":"Windmann, Stefan ; Jiao, Shuo ; Niggemann, Oliver ; Borcherding, Holger: A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems. In: 11th International IEEE Conference on Industrial Informatics. Bochum : IEEE, 2013, S. 194–199","short":"S. Windmann, S. Jiao, O. Niggemann, H. Borcherding, in: 11th International IEEE Conference on Industrial Informatics, IEEE, Bochum, 2013, pp. 194–199."},"title":"A Stochastic Method for the Detection of Anomalous Energy Consumption in Hybrid Industrial Systems"},{"title":"Design of Industrial Automation Systems - Formal Requirements in the Engineering Process","citation":{"ieee":"B. Böttcher, J. Badinger, N. Moriz, and O. Niggemann, “Design of Industrial Automation Systems - Formal Requirements in the Engineering Process,” in 18thIEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013.","ama":"Böttcher B, Badinger J, Moriz N, Niggemann O. Design of Industrial Automation Systems - Formal Requirements in the Engineering Process. In: 18thIEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013.","chicago-de":"Böttcher, Björn, Johann Badinger, Natalia Moriz und Oliver Niggemann. 2013. 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(2010): A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs, in: 33rd Annual German Conference on Artificial Intelligence (KI 2010) (=Lecture Notes in Computer Science 6359), Berlin, S. 184–194.","bjps":"Niggemann O, Lohweg V and Tack T (2010) A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. 33rd Annual German Conference on Artificial Intelligence (KI 2010), vol. 6359. Berlin: Springer, pp. 184–194.","mla":"Niggemann, Oliver, et al. “A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs.” 33rd Annual German Conference on Artificial Intelligence (KI 2010), vol. 6359, Springer, 2010, pp. 184–94, doi:https://doi.org/10.1007/978-3-642-16111-7_21.","havard":"O. Niggemann, V. Lohweg, T. Tack, A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs, in: 33rd Annual German Conference on Artificial Intelligence (KI 2010), Springer, Berlin, 2010: pp. 184–194.","short":"O. Niggemann, V. Lohweg, T. Tack, in: 33rd Annual German Conference on Artificial Intelligence (KI 2010), Springer, Berlin, 2010, pp. 184–194.","chicago-de":"Niggemann, Oliver, Volker Lohweg und Tim Tack. 2010. A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. In: 33rd Annual German Conference on Artificial Intelligence (KI 2010), 6359:184–194. Lecture Notes in Computer Science. Berlin: Springer. doi:https://doi.org/10.1007/978-3-642-16111-7_21, .","din1505-2-1":"Niggemann, Oliver ; Lohweg, Volker ; Tack, Tim: A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. In: 33rd Annual German Conference on Artificial Intelligence (KI 2010), Lecture Notes in Computer Science. Bd. 6359. Berlin : Springer, 2010, S. 184–194","ieee":"O. Niggemann, V. Lohweg, and T. Tack, “A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs,” in 33rd Annual German Conference on Artificial Intelligence (KI 2010), 2010, vol. 6359, pp. 184–194.","ama":"Niggemann O, Lohweg V, Tack T. A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. In: 33rd Annual German Conference on Artificial Intelligence (KI 2010). Vol 6359. Lecture Notes in Computer Science. Berlin: Springer; 2010:184-194. doi:https://doi.org/10.1007/978-3-642-16111-7_21"},"volume":6359,"title":"A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs","page":"184-194","status":"public","year":2010,"main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-642-16111-7_21"}],"author":[{"id":"10876","first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"},{"orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","first_name":"Volker","id":"1804","last_name":"Lohweg"},{"full_name":"Tack, Tim","first_name":"Tim","last_name":"Tack"}],"user_id":"45673","intvolume":" 6359","type":"conference","place":"Berlin","doi":"https://doi.org/10.1007/978-3-642-16111-7_21","_id":"2088","publication_status":"published","series_title":"Lecture Notes in Computer Science","publisher":"Springer","department":[{"_id":"DEP5023"}],"abstract":[{"lang":"eng","text":"Clustering remains a major topic in machine learning; it is used e.g. for document categorization, for data mining, and for image analysis. In all these application areas, clustering algorithms try to identify groups of related data in large data sets.\r\n\r\nIn this paper, the established clustering algorithm MajorClust ([12]) is improved; making it applicable to data sets with few structure on the local scale—so called near-homogeneous graphs. This new algorithm MCProb is verified empirically using the problem of image clustering. Furthermore, MCProb is analyzed theoretically. For the applications examined so-far, MCProb outperforms other established clustering techniques."}]},{"language":[{"iso":"eng"}],"_id":"2083","type":"conference","date_created":"2019-11-29T14:59:42Z","publication":"Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009","date_updated":"2023-03-15T13:49:38Z","user_id":"45673","department":[{"_id":"DEP5023"}],"year":2009,"author":[{"orcid":"0000-0002-3325-7887","first_name":"Volker","full_name":"Lohweg, Volker","id":"1804","last_name":"Lohweg"},{"first_name":"Oliver","id":"10876","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"status":"public","title":"Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop)","citation":{"ama":"Lohweg V, Niggemann O. Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop). In: Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009. ; 2009.","ieee":"V. Lohweg and O. Niggemann, “Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop),” in Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009.","short":"V. Lohweg, O. Niggemann, in: Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009.","chicago-de":"Lohweg, Volker und Oliver Niggemann. 2009. Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop). In: Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009.","din1505-2-1":"Lohweg, Volker ; Niggemann, Oliver: Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop). In: Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009","van":"Lohweg V, Niggemann O. Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop). In: Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol 3, ISSN 1869-2087, Lemgo 2009. 2009.","ufg":"Lohweg, Volker/Niggemann, Oliver (2009): Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop), in: Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009.","havard":"V. Lohweg, O. Niggemann, Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop), in: Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009.","mla":"Lohweg, Volker, and Oliver Niggemann. “Machine Learning in Real-Time Applications (MLRTA09 - KI 2009 Workshop).” Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009.","bjps":"Lohweg V and Niggemann O (2009) Machine Learning in Real-Time Applications (MLRTA09 - KI 2009 Workshop). Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009.","apa":"Lohweg, V., & Niggemann, O. (2009). Machine Learning in Real-time Applications (MLRTA09 - KI 2009 Workshop). In Lemgoer Schriften zur industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009.","chicago":"Lohweg, Volker, and Oliver Niggemann. “Machine Learning in Real-Time Applications (MLRTA09 - KI 2009 Workshop).” In Lemgoer Schriften Zur Industriellen Informationstechnik (Lemgo Series on Industrial Information Technology), Vol. 3, ISSN 1869-2087, Lemgo 2009, 2009."}},{"type":"conference","date_created":"2021-01-28T13:42:53Z","publication":"Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009))","date_updated":"2023-03-15T13:49:55Z","user_id":"74222","language":[{"iso":"eng"}],"place":"Paderborn, Germany","_id":"4715","title":"Timed Automata for Modeling Network Traffic","citation":{"ieee":"B. Kumar, O. Niggemann, and J. Jasperneite, “Timed Automata for Modeling Network Traffic,” in Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)), 2009.","ama":"Kumar B, Niggemann O, Jasperneite J. Timed Automata for Modeling Network Traffic. In: Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany; 2009.","chicago":"Kumar, Barath, Oliver Niggemann, and Jürgen Jasperneite. “Timed Automata for Modeling Network Traffic.” In Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany, 2009.","apa":"Kumar, B., Niggemann, O., & Jasperneite, J. (2009). Timed Automata for Modeling Network Traffic. In Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany.","ufg":"Kumar, Barath et. al. (2009): Timed Automata for Modeling Network Traffic, in: Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)), Paderborn, Germany.","mla":"Kumar, Barath, et al. “Timed Automata for Modeling Network Traffic.” Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)), 2009.","havard":"B. Kumar, O. Niggemann, J. Jasperneite, Timed Automata for Modeling Network Traffic, in: Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)), Paderborn, Germany, 2009.","bjps":"Kumar B, Niggemann O and Jasperneite J (2009) Timed Automata for Modeling Network Traffic. Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany.","van":"Kumar B, Niggemann O, Jasperneite J. Timed Automata for Modeling Network Traffic. In: Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany; 2009.","chicago-de":"Kumar, Barath, Oliver Niggemann und Jürgen Jasperneite. 2009. Timed Automata for Modeling Network Traffic. In: Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany.","din1505-2-1":"Kumar, Barath ; Niggemann, Oliver ; Jasperneite, Jürgen: Timed Automata for Modeling Network Traffic. In: Machine Learning in Real-Time Applications (MLRTA 09) (in conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)). Paderborn, Germany, 2009","short":"B. Kumar, O. Niggemann, J. Jasperneite, in: Machine Learning in Real-Time Applications (MLRTA 09) (in Conjunction with 32nd Annual Conference on Artificial Intelligence (KI 2009)), Paderborn, Germany, 2009."},"department":[{"_id":"DEP5023"},{"_id":"DEP5019"}],"author":[{"full_name":"Kumar, Barath","first_name":"Barath","last_name":"Kumar"},{"full_name":"Niggemann, Oliver","first_name":"Oliver","last_name":"Niggemann","id":"10876"},{"first_name":"Jürgen","full_name":"Jasperneite, Jürgen","last_name":"Jasperneite","id":"1899"}],"year":2009,"status":"public"}]