Pub Date : 2019-07-01DOI: 10.1109/indin41052.2019.8972239
{"title":"Distributed and Networked Control and Automation Systems","authors":"","doi":"10.1109/indin41052.2019.8972239","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972239","url":null,"abstract":"","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132636163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972328
I. Weiß, A. Hanel, E. Trunzer, Mina Fahimi Pirehgalin, S. Unland, B. Vogel‐Heuser
The availability of huge amounts of process data enables data-driven methods to optimize production processes. Predictive Maintenance is one of the common applications to transfer data to useful information for improving the Overall Equipment Effectiveness. In this paper, a data-driven method for condition monitoring of control valves in industrial process plants is developed based on data collected during test runs. In contrast to the state of the art condition monitoring in control valves, the test runs make it possible to define a threshold that differentiates normal from abnormal valve behaviour. Furthermore, the characteristics of the model results allow the identification of different defects. The application of the proposed method to a historic industrial data set validate the applicability in noisy industrial use cases.
{"title":"Data-Driven Condition Monitoring of Control Valves in Laboratory Test Runs","authors":"I. Weiß, A. Hanel, E. Trunzer, Mina Fahimi Pirehgalin, S. Unland, B. Vogel‐Heuser","doi":"10.1109/INDIN41052.2019.8972328","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972328","url":null,"abstract":"The availability of huge amounts of process data enables data-driven methods to optimize production processes. Predictive Maintenance is one of the common applications to transfer data to useful information for improving the Overall Equipment Effectiveness. In this paper, a data-driven method for condition monitoring of control valves in industrial process plants is developed based on data collected during test runs. In contrast to the state of the art condition monitoring in control valves, the test runs make it possible to define a threshold that differentiates normal from abnormal valve behaviour. Furthermore, the characteristics of the model results allow the identification of different defects. The application of the proposed method to a historic industrial data set validate the applicability in noisy industrial use cases.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132806871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972190
Lucas Sakurada, J. Barbosa, P. Leitão
In recent years, the intense urbanization, and consequently the traffic congestion, has been a major concern of large cities. In this context, the development of smart parkings is a suitable solution to deal with this problem. However, the complexity and requirements imposed by such large-scale systems are an obstacle to its easy implementation. In this sense, it is fundamental to adopt emergent ICT and Artificial Intelligence technologies that are capable to address the imposed requirements. Multi-Agent Systems (MAS) is a suitable approach to face this challenge by providing modularity, flexibility, reconfigurability and fast response to condition change based on its decentralized nature. The use of such agent-based solutions to control physical assets, create novel systems entitled Cyber-Physical Systems (CPS) where the interconnection between the cyber and the physical parts is a crucial issue. This paper focuses the interface between the software agents of a smart parking system with the physical control devices of the parking spots. For this purpose, different interface practices were implemented and tested, considering different interaction schemes and technologies. These alternative interface practices were analyzed taking into consideration the response time, scalability and re-usability parameters.
{"title":"Deployment of Industrial Agents in a Smart Parking System","authors":"Lucas Sakurada, J. Barbosa, P. Leitão","doi":"10.1109/INDIN41052.2019.8972190","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972190","url":null,"abstract":"In recent years, the intense urbanization, and consequently the traffic congestion, has been a major concern of large cities. In this context, the development of smart parkings is a suitable solution to deal with this problem. However, the complexity and requirements imposed by such large-scale systems are an obstacle to its easy implementation. In this sense, it is fundamental to adopt emergent ICT and Artificial Intelligence technologies that are capable to address the imposed requirements. Multi-Agent Systems (MAS) is a suitable approach to face this challenge by providing modularity, flexibility, reconfigurability and fast response to condition change based on its decentralized nature. The use of such agent-based solutions to control physical assets, create novel systems entitled Cyber-Physical Systems (CPS) where the interconnection between the cyber and the physical parts is a crucial issue. This paper focuses the interface between the software agents of a smart parking system with the physical control devices of the parking spots. For this purpose, different interface practices were implemented and tested, considering different interaction schemes and technologies. These alternative interface practices were analyzed taking into consideration the response time, scalability and re-usability parameters.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972149
Zhijie Zhang, W. Dai, Zhongxiu Xie, Wenjin Wang, Wen Wang
In the facial paralysis rehabilitation training progresses, evaluation processes waste huge efforts from both patients and doctors. In the meantime, doctors’ subjective opinions cause inaccuracy result. Therefore, it is urgent to construct an objective grading system to acknowledge doctors of their patients’ exact situation. In this paper, a method is present to construct a hybrid grading system based considering both machine learning results and doctor experience. Firstly, an online marking system based on the web is designed to collect and analyze samples. Then, evaluation models are constructed through TensorFlow from the samples from doctor to grade patients. Finally, various models are mixed to construct the hybrid evaluation system. Results are achieved, which can preliminarily evaluate the patients for their recovery conditions. Although the accuracy is not satisfied enough, it can be seen that the method is effective in facial paralysis rehabilitation training. With improvements in models, an automatic evaluation system will be applied to the rehabilitation of patients.
{"title":"A Hybrid Evaluation System for Facial Paralysis Rehabilitation based on Machine Learning and Doctor Experience","authors":"Zhijie Zhang, W. Dai, Zhongxiu Xie, Wenjin Wang, Wen Wang","doi":"10.1109/INDIN41052.2019.8972149","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972149","url":null,"abstract":"In the facial paralysis rehabilitation training progresses, evaluation processes waste huge efforts from both patients and doctors. In the meantime, doctors’ subjective opinions cause inaccuracy result. Therefore, it is urgent to construct an objective grading system to acknowledge doctors of their patients’ exact situation. In this paper, a method is present to construct a hybrid grading system based considering both machine learning results and doctor experience. Firstly, an online marking system based on the web is designed to collect and analyze samples. Then, evaluation models are constructed through TensorFlow from the samples from doctor to grade patients. Finally, various models are mixed to construct the hybrid evaluation system. Results are achieved, which can preliminarily evaluate the patients for their recovery conditions. Although the accuracy is not satisfied enough, it can be seen that the method is effective in facial paralysis rehabilitation training. With improvements in models, an automatic evaluation system will be applied to the rehabilitation of patients.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"62 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131894863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972251
P. Wunderlich, Nemanja Hranisavljevic
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.
{"title":"Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction","authors":"P. Wunderlich, Nemanja Hranisavljevic","doi":"10.1109/INDIN41052.2019.8972251","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972251","url":null,"abstract":"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.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134180402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/indin41052.2019.8972013
{"title":"Deep Learning Methods for Medical Image Analysis","authors":"","doi":"10.1109/indin41052.2019.8972013","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972013","url":null,"abstract":"","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133826882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972176
D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus
The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.
{"title":"An Availability Metric and Optimization Algorithms for Simultaneous Coverage of Targets and Areas by Wireless Visual Sensor Networks","authors":"D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus","doi":"10.1109/INDIN41052.2019.8972176","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972176","url":null,"abstract":"The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972091
Xulong Wang, J. Qi, Yun Yang, Po Yang
Modeling and predicting progression of chronic diseases like Alzheimer's disease (AD) has recently received much attention. Traditional approaches in this field mostly rely on harnessing statistical methods into processing medical data like genes, MRI images, demographics, etc. Latest advances of machine learning techniques grant another chance of training disease progression models for AD. This trend leads on exploring and designing new machine learning techniques towards multi-modality medical and health dataset for predicting occurrences and modeling progression of AD. This paper aims at giving a systemic survey on summarizing and comparing several mainstream techniques for AD progression modeling, and discuss the potential and limitations of these techniques in practical applications. We summarize three key techniques for modeling AD progression: multi-task model, time series model and deep learning. In particular, we discuss the basic structural elements of most representative multi-task learning algorithms, and analyze a multi-task disease prediction model based on longitudinal time. Lastly, some potential future research direction is given.
{"title":"A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases","authors":"Xulong Wang, J. Qi, Yun Yang, Po Yang","doi":"10.1109/INDIN41052.2019.8972091","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972091","url":null,"abstract":"Modeling and predicting progression of chronic diseases like Alzheimer's disease (AD) has recently received much attention. Traditional approaches in this field mostly rely on harnessing statistical methods into processing medical data like genes, MRI images, demographics, etc. Latest advances of machine learning techniques grant another chance of training disease progression models for AD. This trend leads on exploring and designing new machine learning techniques towards multi-modality medical and health dataset for predicting occurrences and modeling progression of AD. This paper aims at giving a systemic survey on summarizing and comparing several mainstream techniques for AD progression modeling, and discuss the potential and limitations of these techniques in practical applications. We summarize three key techniques for modeling AD progression: multi-task model, time series model and deep learning. In particular, we discuss the basic structural elements of most representative multi-task learning algorithms, and analyze a multi-task disease prediction model based on longitudinal time. Lastly, some potential future research direction is given.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972059
Filippo Battaglia, M. Collotta, Luca Leonardi, L. L. Bello, Gaetano Patti
The IEEE 802.15.4 standard contains the specifications of protocols that are suitable for industrial applications. Each of them is tailored for a specific industrial domain. One of these protocols is the Deterministic and Synchronous Multichannel Extension (DSME), which targets general industrial and commercial application domains. The DSME protocol extends the classic IEEE 802.15.4 protocol, overcoming the limitation on the maximum number of Guaranteed Time Slots (GTSs) and providing for channel diversity to increase network robustness. However, the DSME protocol suffers from scalability problems due to the rigid structure of the DSME multi-superframe, which in large networks does not allow to handle GTSs in an efficient way. To overcome this limitation, this work proposes the Shared DSME, an approach to handle the GTSs within the multi-superframe in an efficient way, thus increasing the scalability of the DSME protocol.
{"title":"A scalable approach for periodic traffic scheduling in IEEE 802.15.4-DSME networks","authors":"Filippo Battaglia, M. Collotta, Luca Leonardi, L. L. Bello, Gaetano Patti","doi":"10.1109/INDIN41052.2019.8972059","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972059","url":null,"abstract":"The IEEE 802.15.4 standard contains the specifications of protocols that are suitable for industrial applications. Each of them is tailored for a specific industrial domain. One of these protocols is the Deterministic and Synchronous Multichannel Extension (DSME), which targets general industrial and commercial application domains. The DSME protocol extends the classic IEEE 802.15.4 protocol, overcoming the limitation on the maximum number of Guaranteed Time Slots (GTSs) and providing for channel diversity to increase network robustness. However, the DSME protocol suffers from scalability problems due to the rigid structure of the DSME multi-superframe, which in large networks does not allow to handle GTSs in an efficient way. To overcome this limitation, this work proposes the Shared DSME, an approach to handle the GTSs within the multi-superframe in an efficient way, thus increasing the scalability of the DSME protocol.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116271010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972284
Andrii Berezovskyi, R. Inam, Jad El-khoury, Martin Törngren, E. Fersman
This paper addresses the problem of reducing the number of messages needed to exchange state updates between the Cyber-Physical System (CPS) components that integrate with the rest of the CPS through Digital Twins in order to maintain uniform communication interface and carry out their tasks correctly and safely. The main contribution is a proposed architecture and the discussion of its suitability to support correct execution of complex tasks across the CPS. A new State Event Filtering component is presented to provide event-based communication among Digital Twins that are based on the Linked Data principles while keeping the fan-out limited to ensure the scalability of the architecture.
{"title":"Efficient State Update Exchange in a CPS Environment for Linked Data-based Digital Twins","authors":"Andrii Berezovskyi, R. Inam, Jad El-khoury, Martin Törngren, E. Fersman","doi":"10.1109/INDIN41052.2019.8972284","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972284","url":null,"abstract":"This paper addresses the problem of reducing the number of messages needed to exchange state updates between the Cyber-Physical System (CPS) components that integrate with the rest of the CPS through Digital Twins in order to maintain uniform communication interface and carry out their tasks correctly and safely. The main contribution is a proposed architecture and the discussion of its suitability to support correct execution of complex tasks across the CPS. A new State Event Filtering component is presented to provide event-based communication among Digital Twins that are based on the Linked Data principles while keeping the fan-out limited to ensure the scalability of the architecture.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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