[{"title":"Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance","publication_identifier":{"eissn":["1660-4601"],"issn":["1661-7827 "]},"external_id":{"pmid":["36673969"],"isi":["000918039900001"]},"intvolume":"        20","pmid":"1","volume":20,"publisher":"MDPI","author":[{"last_name":"Wunderlich","full_name":"Wunderlich, Paul","first_name":"Paul","id":"52317"},{"id":"76510","full_name":"Wiegräbe, Frauke","first_name":"Frauke","last_name":"Wiegräbe"},{"id":"46416","full_name":"Dörksen, Helene","first_name":"Helene","last_name":"Dörksen"}],"publication_status":"published","abstract":[{"text":"Due to the demographic aging of society, the demand for skilled caregiving is increasing. However, the already existing shortage of professional caregivers will exacerbate in the future. As a result, family caregivers must shoulder a heavier share of the care burden. To ease the burden and promote a better work-life balance, we developed the Digital Case Manager. This tool uses machine learning algorithms to learn the relationship between a care situation and the next care steps and helps family caregivers balance their professional and private lives so that they are able to continue caring for their family members without sacrificing their own jobs and personal ambitions. The data for the machine learning model are generated by means of a questionnaire based on professional assessment instruments. We implemented a proof-of-concept of the Digital Case Manager and initial tests show promising results. It offers a quick and easy-to-use tool for family caregivers in the early stages of a care situation.","lang":"eng"}],"status":"public","publication":"INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH","issue":"2","user_id":"83781","department":[{"_id":"DEP5023"},{"_id":"DEP5000"}],"date_created":"2025-04-14T13:39:52Z","date_updated":"2025-06-25T13:11:41Z","doi":"10.3390/ijerph20021215","year":"2023","isi":"1","type":"scientific_journal_article","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Wiegräbe, Frauke</span> ; <span style=\"font-variant:small-caps;\">Dörksen, Helene</span>: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. In: <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i> Bd. 20. Basel, MDPI (2023), Nr. 2","havard":"P. Wunderlich, F. Wiegräbe, H. Dörksen, Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 20 (2023).","apa":"Wunderlich, P., Wiegräbe, F., &#38; Dörksen, H. (2023). Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i>, <i>20</i>(2), Article 1215. <a href=\"https://doi.org/10.3390/ijerph20021215\">https://doi.org/10.3390/ijerph20021215</a>","chicago-de":"Wunderlich, Paul, Frauke Wiegräbe und Helene Dörksen. 2023. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i> 20, Nr. 2. doi:<a href=\"https://doi.org/10.3390/ijerph20021215\">10.3390/ijerph20021215</a>, .","ufg":"<b>Wunderlich, Paul/Wiegräbe, Frauke/Dörksen, Helene</b>: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance, in: <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i> 20 (2023), H. 2.","bjps":"<b>Wunderlich P, Wiegräbe F and Dörksen H</b> (2023) Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i> <b>20</b>.","van":"Wunderlich P, Wiegräbe F, Dörksen H. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 2023;20(2).","ieee":"P. Wunderlich, F. Wiegräbe, and H. Dörksen, “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance,” <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i>, vol. 20, no. 2, Art. no. 1215, 2023, doi: <a href=\"https://doi.org/10.3390/ijerph20021215\">10.3390/ijerph20021215</a>.","mla":"Wunderlich, Paul, et al. “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance.” <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i>, vol. 20, no. 2, 1215, 2023, <a href=\"https://doi.org/10.3390/ijerph20021215\">https://doi.org/10.3390/ijerph20021215</a>.","chicago":"Wunderlich, Paul, Frauke Wiegräbe, and Helene Dörksen. “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance.” <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i> 20, no. 2 (2023). <a href=\"https://doi.org/10.3390/ijerph20021215\">https://doi.org/10.3390/ijerph20021215</a>.","ama":"Wunderlich P, Wiegräbe F, Dörksen H. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. <i>INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH</i>. 2023;20(2). doi:<a href=\"https://doi.org/10.3390/ijerph20021215\">10.3390/ijerph20021215</a>","short":"P. Wunderlich, F. Wiegräbe, H. Dörksen, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023)."},"quality_controlled":"1","place":"Basel","_id":"12785","language":[{"iso":"eng"}],"article_number":"1215","keyword":["machine learning","healthcare","case management","caring","multi-label classification"]},{"title":"Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors","volume":12,"pmid":"1","external_id":{"isi":["000967890400001"],"pmid":["36981272"]},"intvolume":"        12","publication_identifier":{"eissn":["2304-8158"]},"abstract":[{"text":"<jats:p>food are discarded annually, with a worldwide total exceeding 1.3 billion tonnes. A significant contributor to this issue are consumers throwing away still edible food due to the expiration of its best-before date. Best-before dates currently include large safety margins, but more precise and cost effective prediction techniques are required. To address this challenge, research was conducted on low-cost sensors and machine learning techniques were developed to predict the spoilage of fresh pizza. The findings indicate that combining a gas sensor, such as volatile organic compounds or carbon dioxide, with a random forest or extreme gradient boosting regressor can accurately predict the day of spoilage. This provides a more accurate and cost-efficient alternative to current best-before date determination methods, reducing food waste, saving resources, and improving food safety by reducing the risk of consumers consuming spoiled food.","lang":"eng"}],"publication_status":"published","author":[{"id":"52317","last_name":"Wunderlich","full_name":"Wunderlich, Paul","first_name":"Paul"},{"first_name":"Daniel","full_name":"Pauli, Daniel","orcid":"0000-0003-0860-4696 ","last_name":"Pauli","id":"75850"},{"first_name":"Michael","full_name":"Neumaier, Michael","last_name":"Neumaier","id":"77059"},{"id":"76627","first_name":"Stephanie","full_name":"Wisser, Stephanie","last_name":"Wisser"},{"first_name":"Hans-Jürgen","full_name":"Danneel, Hans-Jürgen","last_name":"Danneel","id":"12231"},{"full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887","last_name":"Lohweg","id":"1804"},{"id":"46416","first_name":"Helene","full_name":"Dörksen, Helene","last_name":"Dörksen"}],"publisher":"MDPI ","issue":"6","publication":"Foods","status":"public","doi":"10.3390/foods12061347","date_updated":"2025-06-25T13:13:13Z","department":[{"_id":"DEP5023"},{"_id":"DEP1308"}],"date_created":"2025-06-24T13:25:13Z","user_id":"83781","citation":{"apa":"Wunderlich, P., Pauli, D., Neumaier, M., Wisser, S., Danneel, H.-J., Lohweg, V., &#38; Dörksen, H. (2023). Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. <i>Foods</i>, <i>12</i>(6), Article 1347. <a href=\"https://doi.org/10.3390/foods12061347\">https://doi.org/10.3390/foods12061347</a>","bjps":"<b>Wunderlich P <i>et al.</i></b> (2023) Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. <i>Foods</i> <b>12</b>.","chicago-de":"Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg und Helene Dörksen. 2023. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. <i>Foods</i> 12, Nr. 6. doi:<a href=\"https://doi.org/10.3390/foods12061347\">10.3390/foods12061347</a>, .","ufg":"<b>Wunderlich, Paul u. a.</b>: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, in: <i>Foods</i> 12 (2023), H. 6.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Pauli, Daniel</span> ; <span style=\"font-variant:small-caps;\">Neumaier, Michael</span> ; <span style=\"font-variant:small-caps;\">Wisser, Stephanie</span> ; <span style=\"font-variant:small-caps;\">Danneel, Hans-Jürgen</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span> ; <span style=\"font-variant:small-caps;\">Dörksen, Helene</span>: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. In: <i>Foods</i> Bd. 12. Basel, MDPI  (2023), Nr. 6","havard":"P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, Foods. 12 (2023).","short":"P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Foods 12 (2023).","ieee":"P. Wunderlich <i>et al.</i>, “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors,” <i>Foods</i>, vol. 12, no. 6, Art. no. 1347, 2023, doi: <a href=\"https://doi.org/10.3390/foods12061347\">10.3390/foods12061347</a>.","van":"Wunderlich P, Pauli D, Neumaier M, Wisser S, Danneel HJ, Lohweg V, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods. 2023;12(6).","ama":"Wunderlich P, Pauli D, Neumaier M, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. <i>Foods</i>. 2023;12(6). doi:<a href=\"https://doi.org/10.3390/foods12061347\">10.3390/foods12061347</a>","mla":"Wunderlich, Paul, et al. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” <i>Foods</i>, vol. 12, no. 6, 1347, 2023, <a href=\"https://doi.org/10.3390/foods12061347\">https://doi.org/10.3390/foods12061347</a>.","chicago":"Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg, and Helene Dörksen. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” <i>Foods</i> 12, no. 6 (2023). <a href=\"https://doi.org/10.3390/foods12061347\">https://doi.org/10.3390/foods12061347</a>."},"type":"scientific_journal_article","isi":"1","year":"2023","language":[{"iso":"eng"}],"_id":"13015","place":"Basel","article_number":"1347","keyword":["Plant Science","Health Professions (miscellaneous)","Health (social science)","Microbiology","Food Science"]},{"author":[{"id":"58885","last_name":"Bunte","full_name":"Bunte, Andreas","first_name":"Andreas"},{"full_name":"Wunderlich, Paul","first_name":"Paul","last_name":"Wunderlich","id":"52317"},{"id":"44238","last_name":"Moriz","first_name":"Natalia","full_name":"Moriz, Natalia"},{"id":"58937","full_name":"Li, Peng","first_name":"Peng","last_name":"Li"},{"id":"51482","last_name":"Mankowski","full_name":"Mankowski, Andre","first_name":"Andre"},{"id":"66617","first_name":"Antje","full_name":"Rogalla, Antje","last_name":"Rogalla"},{"id":"10876","last_name":"Niggemann","full_name":"Niggemann, Oliver","first_name":"Oliver"}],"place":"Zaragoza, Spain","_id":"4780","language":[{"iso":"eng"}],"status":"public","publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","user_id":"68554","date_updated":"2023-03-15T13:49:55Z","date_created":"2021-02-02T08:08:34Z","department":[{"_id":"DEP5023"}],"title":"Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS","year":2019,"type":"conference","citation":{"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.","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: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain; 2019.","mla":"Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 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 <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain, 2019.","ieee":"A. Bunte <i>et al.</i>, “Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS,” in <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2019.","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.","ufg":"<b>Bunte, Andreas et. al. (2019)</b>: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Zaragoza, Spain.","bjps":"<b>Bunte A <i>et al.</i></b> (2019) Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS. <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","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: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","apa":"Bunte, A., Wunderlich, P., Moriz, N., Li, P., Mankowski, A., Rogalla, A., &#38; Niggemann, O. (2019). Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","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.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Li, Peng</span> ; <span style=\"font-variant:small-caps;\">Mankowski, Andre</span> ; <span style=\"font-variant:small-caps;\">Rogalla, Antje</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain, 2019"}},{"author":[{"id":"52317","full_name":"Wunderlich, Paul","first_name":"Paul","last_name":"Wunderlich"},{"full_name":"Hranisavljevic, Nemanja","first_name":"Nemanja","last_name":"Hranisavljevic","id":"62376"}],"publisher":"IEEE","abstract":[{"text":"The increasing amount of alarms and information for an operator in a modern plant becomes a significant safety risk. Although the notifications are a valuable support, they also lead to the curse of overloading with information for the operator. Due to the huge amount of alarms it is almost impossible to separate the crucial information from the insignificant ones. Therefore, new procedures are required to reduce these alarm floods and support the operator to minimize the safety risk. One approach is based on learning a causal model that represents the relationships between the alarms. This allows alarm sequences that are causally implied to be reduced to the root cause alarm. Fundamental element of this approach is the causal model. Therefore in this work, different probabilistic graphical models are considered and evaluated on the basis of appropriate criteria. A real use case of a bottle filling module serves as a benchmark for how well they are suitable as a causal model for the application in alarm flood reduction.","lang":"eng"}],"publication_status":"published","status":"public","publication":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","title":"Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction","publication_identifier":{"isbn":["978-1-7281-2928-0"],"eisbn":["978-1-7281-2927-3"]},"place":"[Piscataway, NJ]","_id":"12803","language":[{"iso":"eng"}],"corporate_editor":["Aalto University, Finland","Tampere University, Finland","Finnish Society of Automation, Finland"],"keyword":["probabilistic graphical model","causal model","alarm flood reduction","Bayesian network","Markov chain","restricted boltzmann machine","automata"],"page":"1285-1290","date_updated":"2025-06-26T13:38:06Z","department":[{"_id":"DEP5023"}],"date_created":"2025-04-16T06:29:04Z","user_id":"83781","doi":"10.1109/indin41052.2019.8972251","year":"2019","type":"conference_editor_article","citation":{"short":"P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway, NJ], 2019.","ama":"Wunderlich P, Hranisavljevic N. <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>. (Aalto University, Finland, Tampere University, Finland, Finnish Society of Automation, Finland, eds.). IEEE; 2019:1285-1290. doi:<a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">10.1109/indin41052.2019.8972251</a>","ufg":"<b>Wunderlich, Paul/Hranisavljevic, Nemanja</b>: Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction, hg. von Aalto University, Finland/Tampere University, Finland, Finnish Society of Automation, Finland, [Piscataway, NJ] 2019.","chicago-de":"Wunderlich, Paul und Nemanja Hranisavljevic. 2019. <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>. Hg. von Aalto University, Finland, Tampere University, Finland, und Finnish Society of Automation, Finland. <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">10.1109/indin41052.2019.8972251</a>, .","bjps":"<b>Wunderlich P and Hranisavljevic N</b> (2019) <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>, Aalto University, Finland, Tampere University, Finland, and Finnish Society of Automation, Finland (eds). [Piscataway, NJ]: IEEE.","havard":"P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway, NJ], 2019.","mla":"Wunderlich, Paul, and Nemanja Hranisavljevic. “Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.” <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, edited by Aalto University, Finland et al., IEEE, 2019, pp. 1285–90, <a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">https://doi.org/10.1109/indin41052.2019.8972251</a>.","chicago":"Wunderlich, Paul, and Nemanja Hranisavljevic. <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>. Edited by Aalto University, Finland, Tampere University, Finland, and Finnish Society of Automation, Finland. <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE, 2019. <a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">https://doi.org/10.1109/indin41052.2019.8972251</a>.","van":"Wunderlich P, Hranisavljevic N. Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction. Aalto University, Finland, Tampere University, Finland, Finnish Society of Automation, Finland, editors. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2019.","ieee":"P. Wunderlich and N. Hranisavljevic, <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>. [Piscataway, NJ]: IEEE, 2019, pp. 1285–1290. doi: <a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">10.1109/indin41052.2019.8972251</a>.","apa":"Wunderlich, P., &#38; Hranisavljevic, N. (2019). Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction. In Aalto University, Finland, Tampere University, Finland, &#38; Finnish Society of Automation, Finland (Eds.), <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i> (pp. 1285–1290). IEEE. <a href=\"https://doi.org/10.1109/indin41052.2019.8972251\">https://doi.org/10.1109/indin41052.2019.8972251</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Hranisavljevic, Nemanja</span> ; <span style=\"font-variant:small-caps;\">Aalto University, Finland</span> ; <span style=\"font-variant:small-caps;\">Tampere University, Finland</span> ; <span style=\"font-variant:small-caps;\">Finnish Society of Automation, Finland</span> (Hrsg.): <i>Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction</i>. [Piscataway, NJ] : IEEE, 2019"},"conference":{"name":"17th IEEE International Conference on Industrial Informatics (INDIN)","end_date":"2019-07-25","start_date":"2019-07-22","location":"Helsinki, Finland "}},{"language":[{"iso":"eng"}],"_id":"4327","place":"Piscataway, NJ","keyword":["Maintenance engineering","Adaptation models","Machine learning","Data models","Standards","Software","Bayes methods"],"doi":"10.1109/WFCS.2018.8402380","main_file_link":[{"open_access":"1"}],"date_updated":"2023-03-15T13:49:52Z","date_created":"2021-01-08T08:26:30Z","department":[{"_id":"DEP5023"},{"_id":"DEP5019"}],"user_id":"45673","oa":"1","citation":{"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.","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: <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ: IEEE. doi:<a href=\"https://doi.org/10.1109/WFCS.2018.8402380,\">10.1109/WFCS.2018.8402380,</a> .","bjps":"<b>Lang D <i>et al.</i></b> (2018) Assistance System to Support Troubleshooting of Complex Industrial Systems. <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ: IEEE.","ufg":"<b>Lang, Dorota et. al. (2018)</b>: Assistance System to Support Troubleshooting of Complex Industrial Systems, in: <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>, Piscataway, NJ.","ama":"Lang D, Wunderlich P, Heinz M, et al. Assistance System to Support Troubleshooting of Complex Industrial Systems. In: <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ: IEEE; 2018. doi:<a href=\"https://doi.org/10.1109/WFCS.2018.8402380\">10.1109/WFCS.2018.8402380</a>","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.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lang, Dorota</span> ; <span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Heinz, Mario</span> ; <span style=\"font-variant:small-caps;\">Wisniewski, Lukasz</span> ; <span style=\"font-variant:small-caps;\">Jasperneite, Jürgen</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span>: Assistance System to Support Troubleshooting of Complex Industrial Systems. In: <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ : IEEE, 2018","apa":"Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann, O., &#38; Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex Industrial Systems. In <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ: IEEE. <a href=\"https://doi.org/10.1109/WFCS.2018.8402380\">https://doi.org/10.1109/WFCS.2018.8402380</a>","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.","ieee":"D. Lang <i>et al.</i>, “Assistance System to Support Troubleshooting of Complex Industrial Systems,” in <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>, Imperia, Italy , 2018.","mla":"Lang, Dorota, et al. “Assistance System to Support Troubleshooting of Complex Industrial Systems.” <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>, IEEE, 2018, doi:<a href=\"https://doi.org/10.1109/WFCS.2018.8402380\">10.1109/WFCS.2018.8402380</a>.","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 <i>14th IEEE International Workshop on Factory Communication Systems (WFCS)</i>. Piscataway, NJ: IEEE, 2018. <a href=\"https://doi.org/10.1109/WFCS.2018.8402380\">https://doi.org/10.1109/WFCS.2018.8402380</a>."},"type":"conference","conference":{"name":"14th IEEE International Workshop on Factory Communication Systems (WFCS)","end_date":"2018-06-15","start_date":"2018-06-13","location":"Imperia, Italy "},"year":2018,"abstract":[{"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.","lang":"eng"}],"publication_status":"published","publisher":"IEEE","author":[{"last_name":"Lang","full_name":"Lang, Dorota","first_name":"Dorota","id":"68941"},{"last_name":"Wunderlich","full_name":"Wunderlich, Paul","first_name":"Paul","id":"52317"},{"id":"68913","full_name":"Heinz, Mario","first_name":"Mario","last_name":"Heinz"},{"id":"1710","full_name":"Wisniewski, Lukasz","first_name":"Lukasz","last_name":"Wisniewski"},{"id":"1899","full_name":"Jasperneite, Jürgen","first_name":"Jürgen","last_name":"Jasperneite"},{"last_name":"Niggemann","full_name":"Niggemann, Oliver","first_name":"Oliver","id":"10876"},{"first_name":"Carsten","full_name":"Röcker, Carsten","last_name":"Röcker","id":"61525"}],"publication":"14th IEEE International Workshop on Factory Communication Systems (WFCS)","status":"public","title":"Assistance System to Support Troubleshooting of Complex Industrial Systems","publication_identifier":{"eisbn":["978-1-5386-1066-4"]}},{"abstract":[{"lang":"eng","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."}],"publication_status":"published","publisher":"Springer","author":[{"full_name":"Büttner, Sebastian","first_name":"Sebastian","last_name":"Büttner","id":"61868"},{"id":"52317","full_name":"Wunderlich, Paul","first_name":"Paul","last_name":"Wunderlich"},{"last_name":"Heinz","first_name":"Mario","full_name":"Heinz, Mario","id":"68913"},{"last_name":"Niggemann","full_name":"Niggemann, Oliver","first_name":"Oliver","id":"10876"},{"first_name":"Carsten","full_name":"Röcker, Carsten","last_name":"Röcker","id":"61525"}],"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","status":"public","title":"Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction","intvolume":"     10410","volume":10410,"publication_identifier":{"eisbn":["9783319668086 "],"isbn":["978-3-319-66807-9"]},"_id":"4254","language":[{"iso":"eng"}],"place":"Cham","keyword":["Alarm flood reduction","Machine learning","Assistive system"],"page":"69-82","series_title":"Lecture Notes in Computer Science ","date_created":"2020-12-10T13:40:04Z","department":[{"_id":"DEP5023"}],"date_updated":"2023-03-15T13:49:51Z","main_file_link":[{"open_access":"1"}],"user_id":"15514","type":"conference","citation":{"mla":"Büttner, Sebastian, et al. “Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.” <i> 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</i>, edited by Andreas Holzinger, vol. 10410, Springer, 2017, pp. 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 <i> 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</i>, edited by Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham: Springer, 2017.","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 <i> 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</i>, Reggio, Italy, 2017, vol. 10410, 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":"<span style=\"font-variant:small-caps;\">Büttner, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Heinz, Mario</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span>: Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In: <span style=\"font-variant:small-caps;\">Holzinger, A.</span> (Hrsg.): <i> 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</i>, <i>Lecture Notes in Computer Science </i>. Bd. 10410. Cham : Springer, 2017, S. 69–82","apa":"Büttner, S., Wunderlich, P., Heinz, M., Niggemann, O., &#38; Röcker, C. (2017). Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In A. Holzinger (Ed.), <i> 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</i> (Vol. 10410, pp. 69–82). Cham: Springer.","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. <i> 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</i>. Vol 10410. Lecture Notes in Computer Science . Cham: Springer; 2017:69-82.","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.","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.","ufg":"<b>Büttner, Sebastian et. al. (2017)</b>: Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: Andreas Holzinger (Hg.): <i> 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</i> (=<i>Lecture Notes in Computer Science  10410</i>), Cham, 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: <i> 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</i>, hg. von Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham: Springer.","bjps":"<b>Büttner S <i>et al.</i></b> (2017) Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In Holzinger A (ed.), <i> 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</i>, vol. 10410. Cham: Springer, pp. 69–82."},"oa":"1","conference":{"start_date":"2017-08-29","location":"Reggio, Italy","name":"International Cross-Domain Conference, CD-MAKE 2017","end_date":"2017-09-01"},"editor":[{"last_name":"Holzinger","first_name":"Andreas","full_name":"Holzinger, Andreas"}],"year":2017}]