Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972021
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, S. Ding
We present a novel approach for distributed optimization of highly flexible, modular production units enabling plug-and-play production with online optimization capabilities to adapt fast to changing production requirements. The approach is fully distributed in the sense that each production module to be optimized is equipped with its own optimization agent which local objective is the optimization of its own production objectives. To assure the necessary coordination between the agents, the resulting distributed optimization problem is designed using concepts of game theory. To this end, we model the production environment in terms of a potential game where each module is modeled as a player of the game. By assigning suitable utility functions to the players coordination of the agents behavior is achieved to find an optimal collective behavior. We apply the approach to a laboratory scale distributed bulk good production testbed with very encouraging results. In addition, due to the computational simplicity of the approach, an implementation in IEC61131 compatible code is possible allowing a direct implementation of the approach in existing production units.
{"title":"Potential Game based Distributed Optimization of Modular Production Units","authors":"Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, S. Ding","doi":"10.1109/INDIN41052.2019.8972021","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972021","url":null,"abstract":"We present a novel approach for distributed optimization of highly flexible, modular production units enabling plug-and-play production with online optimization capabilities to adapt fast to changing production requirements. The approach is fully distributed in the sense that each production module to be optimized is equipped with its own optimization agent which local objective is the optimization of its own production objectives. To assure the necessary coordination between the agents, the resulting distributed optimization problem is designed using concepts of game theory. To this end, we model the production environment in terms of a potential game where each module is modeled as a player of the game. By assigning suitable utility functions to the players coordination of the agents behavior is achieved to find an optimal collective behavior. We apply the approach to a laboratory scale distributed bulk good production testbed with very encouraging results. In addition, due to the computational simplicity of the approach, an implementation in IEC61131 compatible code is possible allowing a direct implementation of the approach in existing production units.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"214 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":"116154380","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/INDIN41052.2019.8972225
T. Duong, Ketan Kumar Todi, Umang Chaudhary, Hong Linh Truong
We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN region as a whole. Our system, named BlockAgent, leverages the inherent synergy between multi-agent reinforcement learning (RL) for air traffic flow optimization; and the rising blockchain technology for a secure, transparent and decentralized coordination platform. As a result, BlockAgent does not require a centralized authority for effective ATFM operations. We have implemented several novel distributed coordination approaches for RL in BlockAgent. Empirical experiments with real air traffic data concerning regional airports have demonstrated the feasibility and effectiveness of our approach. To the best of our knowledge, this is the first work that considers blockchain-based, distributed RL for ATFM.
{"title":"Decentralizing Air Traffic Flow Management with Blockchain-based Reinforcement Learning","authors":"T. Duong, Ketan Kumar Todi, Umang Chaudhary, Hong Linh Truong","doi":"10.1109/INDIN41052.2019.8972225","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972225","url":null,"abstract":"We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN region as a whole. Our system, named BlockAgent, leverages the inherent synergy between multi-agent reinforcement learning (RL) for air traffic flow optimization; and the rising blockchain technology for a secure, transparent and decentralized coordination platform. As a result, BlockAgent does not require a centralized authority for effective ATFM operations. We have implemented several novel distributed coordination approaches for RL in BlockAgent. Empirical experiments with real air traffic data concerning regional airports have demonstrated the feasibility and effectiveness of our approach. To the best of our knowledge, this is the first work that considers blockchain-based, distributed RL for ATFM.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"128 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":"122756420","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/INDIN41052.2019.8972079
Aydin E. Homay, Alois Zoitl, M. Sousa, M. Wollschlaeger
Plug & Produce is an important part of the 4th industrial revolution (I4.0) that focuses on product development and production scenarios, demanding rapid adaptation to customer needs, with minimum effort, and no business interruption. Achieving this requires the use of flexible and agile automation systems. Microservices Architecture can be an opportunity to bring such flexibility and agility to industrial automation systems. Since Microservices Architecture is a new paradigm in service-oriented systems, an in-depth analysis from the industrial automation perspective is necessary in order to figure out why and how this new architecture could be helpful to build flexible automation systems. In this paper we first clearly describe and characterize the Microservices Architecture. We next discuss an existing paradox in microservice granularity, and suggest an approach to solve the mentioned paradox. Then we compare this new approach to the Service Oriented Architecture, highlight the key (dis)advantages of utilizing Microservice Architecture in building flexible automation systems that fits in 4th industrial revolution needs, and describe the challenges to its future adoption.
{"title":"A Survey: Microservices Architecture in Advanced Manufacturing Systems","authors":"Aydin E. Homay, Alois Zoitl, M. Sousa, M. Wollschlaeger","doi":"10.1109/INDIN41052.2019.8972079","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972079","url":null,"abstract":"Plug & Produce is an important part of the 4th industrial revolution (I4.0) that focuses on product development and production scenarios, demanding rapid adaptation to customer needs, with minimum effort, and no business interruption. Achieving this requires the use of flexible and agile automation systems. Microservices Architecture can be an opportunity to bring such flexibility and agility to industrial automation systems. Since Microservices Architecture is a new paradigm in service-oriented systems, an in-depth analysis from the industrial automation perspective is necessary in order to figure out why and how this new architecture could be helpful to build flexible automation systems. In this paper we first clearly describe and characterize the Microservices Architecture. We next discuss an existing paradox in microservice granularity, and suggest an approach to solve the mentioned paradox. Then we compare this new approach to the Service Oriented Architecture, highlight the key (dis)advantages of utilizing Microservice Architecture in building flexible automation systems that fits in 4th industrial revolution needs, and describe the challenges to its future adoption.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"186 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":"123011583","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/INDIN41052.2019.8971964
I. Seilonen, V. Vyatkin, Udayanto Dwi Atmojo
OPC UA is considered as an important communication technology for Industry 4.0 components. On the other hand, IEC 61499 is one of the technologies available for developing applications to the same components. In this paper, a proposal for an OPC UA information model for IEC 61499 systems is developed in order to enhance communication with IEC 61499 applications through OPC UA. Already existing related information models, particularly OPC UA for Devices and IEC 61131-3, are utilized as models and parts of the design. An OPC UA wrapper for IEC 61499 runtimes is presented as one possible way to implement the information model. Both the information model and the wrapper are then tested through a case study.
{"title":"OPC UA Information Model and a Wrapper for IEC 61499 Runtimes","authors":"I. Seilonen, V. Vyatkin, Udayanto Dwi Atmojo","doi":"10.1109/INDIN41052.2019.8971964","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8971964","url":null,"abstract":"OPC UA is considered as an important communication technology for Industry 4.0 components. On the other hand, IEC 61499 is one of the technologies available for developing applications to the same components. In this paper, a proposal for an OPC UA information model for IEC 61499 systems is developed in order to enhance communication with IEC 61499 applications through OPC UA. Already existing related information models, particularly OPC UA for Devices and IEC 61131-3, are utilized as models and parts of the design. An OPC UA wrapper for IEC 61499 runtimes is presented as one possible way to implement the information model. Both the information model and the wrapper are then tested through a case study.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"29 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":"114134294","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/INDIN41052.2019.8972185
Jaewook Lee, Joonwoo Kim, Sangheon Pack, Haneul Ko
To overcome the limitation of standalone edge computing in terms of computing power and resource, a concept of distributed edge computing has been introduced, where application tasks are distributed to multiple edge clouds for collaborative processing. To maximize the effectiveness of the distributed edge computing, we formulate an optimization problem of task allocation minimizing the application completion time. To mitigate high complexity overhead in the formulated problem, we devise a low-complexity heuristic algorithm called dependency-aware task allocation algorithm (DATA). Evaluation results demonstrate that DATA can reduce the completion time up to by 18% compared to conventional dependency-unaware task allocation schemes.
{"title":"Dependency-Aware Task Allocation Algorithm for Distributed Edge Computing","authors":"Jaewook Lee, Joonwoo Kim, Sangheon Pack, Haneul Ko","doi":"10.1109/INDIN41052.2019.8972185","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972185","url":null,"abstract":"To overcome the limitation of standalone edge computing in terms of computing power and resource, a concept of distributed edge computing has been introduced, where application tasks are distributed to multiple edge clouds for collaborative processing. To maximize the effectiveness of the distributed edge computing, we formulate an optimization problem of task allocation minimizing the application completion time. To mitigate high complexity overhead in the formulated problem, we devise a low-complexity heuristic algorithm called dependency-aware task allocation algorithm (DATA). Evaluation results demonstrate that DATA can reduce the completion time up to by 18% compared to conventional dependency-unaware task allocation schemes.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"11 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":"128253727","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/INDIN41052.2019.8972097
Ismael Viejo Monge, Noelia Alcalá Serrano, S. Izquierdo, Ignacio Conde Vallejo, V. Zambrano, Leticia A. Gracia Grijota
Reaching a zero-defect manufacturing is one of the biggest challenge for the current manufacturing industry. One of the barriers to overcome is to handle appropriately the uncertainty propagation across manufacturing lines, that hinder the development of accurate control systems. Within this framework, we introduce a non-intrusive method for uncertainty management that relies on a Monte Carlo approach building on a deterministic parametric real-time simulation model. The real-time simulation model is a Reduced Order Model (ROM) based on a generalized Canonical Polyadic Decomposition. The method is introduced using an industrial test case as demonstrator, namely car door/body seals manufacturing by means of continuous coextrusion of a metal strip and various types of rubber. The resulting model is used to unify uncertainty management of: (i) aleatory and epistemic origin, and (ii) material characterization and process parameters.
{"title":"Reduced order models for uncertainty management and zero-defect control in seal manufacturing","authors":"Ismael Viejo Monge, Noelia Alcalá Serrano, S. Izquierdo, Ignacio Conde Vallejo, V. Zambrano, Leticia A. Gracia Grijota","doi":"10.1109/INDIN41052.2019.8972097","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972097","url":null,"abstract":"Reaching a zero-defect manufacturing is one of the biggest challenge for the current manufacturing industry. One of the barriers to overcome is to handle appropriately the uncertainty propagation across manufacturing lines, that hinder the development of accurate control systems. Within this framework, we introduce a non-intrusive method for uncertainty management that relies on a Monte Carlo approach building on a deterministic parametric real-time simulation model. The real-time simulation model is a Reduced Order Model (ROM) based on a generalized Canonical Polyadic Decomposition. The method is introduced using an industrial test case as demonstrator, namely car door/body seals manufacturing by means of continuous coextrusion of a metal strip and various types of rubber. The resulting model is used to unify uncertainty management of: (i) aleatory and epistemic origin, and (ii) material characterization and process parameters.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"1 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":"129083419","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/INDIN41052.2019.8972237
Reihane Rahimilarki, David Zhiwei Gao, Nanlin Jin, Aihua Zhang
In this paper, a deep learning fault detection approach is proposed based on the convolutional neural network in order to cope with one class of faults in wind turbine systems. Fault detection is very vital in nowadays industries due to the fact that instantly detection can prevent waste of cost and time. Deep learning as one of the powerful approaches in machine learning is a promising method to identify and classify the intrigued problems, which are hard to solve by classical methods. In this case, less than 5% performance reduction in generator torque along with sensor noise, which is challenging to identify by an operator or classical diagnosis methods is studied. The proposed algorithm, which is evolved from convolutional neural network idea, is evaluated in simulation based on a 4.8 MW wind turbine benchmark and the accuracy of the results confirms the persuasive performance of the suggested approach.
{"title":"Time-series Deep Learning Fault Detection with the Application of Wind Turbine Benchmark","authors":"Reihane Rahimilarki, David Zhiwei Gao, Nanlin Jin, Aihua Zhang","doi":"10.1109/INDIN41052.2019.8972237","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972237","url":null,"abstract":"In this paper, a deep learning fault detection approach is proposed based on the convolutional neural network in order to cope with one class of faults in wind turbine systems. Fault detection is very vital in nowadays industries due to the fact that instantly detection can prevent waste of cost and time. Deep learning as one of the powerful approaches in machine learning is a promising method to identify and classify the intrigued problems, which are hard to solve by classical methods. In this case, less than 5% performance reduction in generator torque along with sensor noise, which is challenging to identify by an operator or classical diagnosis methods is studied. The proposed algorithm, which is evolved from convolutional neural network idea, is evaluated in simulation based on a 4.8 MW wind turbine benchmark and the accuracy of the results confirms the persuasive performance of the suggested approach.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"13 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":"124641387","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/INDIN41052.2019.8972154
A. Lalos, Evangelos Vlachos, K. Berberidis, A. Fournaris, C. Koulamas
The Industrial IoT (IIoT) is a key element of Industry 4.0, bringing together modern sensor technology, fog - cloud computing platforms, and artificial intelligence (AI) to create smart, self-optimizing industrial equipment and facilities. Though, the scale and sensitivity degree of information continuously increases, giving rise to serious privacy concerns. In this work we address the problem of efficiently and effectively tracking the structure of multivariate streams recorded in a network of IIoT devices. The time varying correlation data values are used to add noise which maximally preserves privacy, in the sense that it is very hard to be removed. To improve communication efficiency between connected IoT devices, we exploit low rank properties of the correlation matrices, and track the essential correlations from a small subset of correlation values estimated by a subset of network nodes. Extensive simulation studies, validate the correctness, efficiency, and effectiveness of our approach in terms of computational complexity, transmission energy efficiency and privacy preservation.
{"title":"Robust and Efficient Privacy Preservation in Industrial IoT via correlation completion and tracking","authors":"A. Lalos, Evangelos Vlachos, K. Berberidis, A. Fournaris, C. Koulamas","doi":"10.1109/INDIN41052.2019.8972154","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972154","url":null,"abstract":"The Industrial IoT (IIoT) is a key element of Industry 4.0, bringing together modern sensor technology, fog - cloud computing platforms, and artificial intelligence (AI) to create smart, self-optimizing industrial equipment and facilities. Though, the scale and sensitivity degree of information continuously increases, giving rise to serious privacy concerns. In this work we address the problem of efficiently and effectively tracking the structure of multivariate streams recorded in a network of IIoT devices. The time varying correlation data values are used to add noise which maximally preserves privacy, in the sense that it is very hard to be removed. To improve communication efficiency between connected IoT devices, we exploit low rank properties of the correlation matrices, and track the essential correlations from a small subset of correlation values estimated by a subset of network nodes. Extensive simulation studies, validate the correctness, efficiency, and effectiveness of our approach in terms of computational complexity, transmission energy efficiency and privacy preservation.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"84 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":"124967143","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/INDIN41052.2019.8972148
G. Karthikeyan, S. Heiss
In the context of Industrie 4.0, integrity of data is considered as the core of networking and digitalisation. End-to-end security of the communicating entities within and across organizational boundaries is enabled by authentication and authorization methods. In order to ensure authorized access or modification to data, an access control system is used. Such an access control system based on the role of an entity is a Role Based Access Control (RBAC) system. In case of distributed networks, the authorization permissions of the communicating entities is determined both within and across organizational boundaries. For example, each organization defines the authorization permissions for each of its resources for both internal and external access. In case of external access, an organization can determine permissions based on a role assigned to an external entity trying to communicate across its organizational boundaries. Here, trusted association between the role and the identities need to be determined. Thus, the role/roles assigned to the external entity can be determined using an Attribute Certificate (AC). An AC contains the attribute/attributes that determines the characteristics associated with an entity. An Attribute Authority (AA) of an organization that assigns a role attribute to the AC of an entity, issues each AC. Such an AA is created and managed using Public Key Infrastructure (PKI). The OPC UA (Open Platform Communication Unified Architecture) framework has different options for user authentication and one of the options is using X509IdentityToken. Integrating ACs in order to enhance authorization mechanism in the context of Industrie 4.0 is considered in this work. A multilevel PKI is designed in order to demonstrate the feasibility of the approach through a proof of concept implementation that establishes end-to-end secure communication between OPC UA based applications. The advantages and challenges in creating such an infrastructure and further areas of research are discussed briefly.
{"title":"Enhancing Authorization Mechanisms using Attribute Certificates for OPC UA based Applications","authors":"G. Karthikeyan, S. Heiss","doi":"10.1109/INDIN41052.2019.8972148","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972148","url":null,"abstract":"In the context of Industrie 4.0, integrity of data is considered as the core of networking and digitalisation. End-to-end security of the communicating entities within and across organizational boundaries is enabled by authentication and authorization methods. In order to ensure authorized access or modification to data, an access control system is used. Such an access control system based on the role of an entity is a Role Based Access Control (RBAC) system. In case of distributed networks, the authorization permissions of the communicating entities is determined both within and across organizational boundaries. For example, each organization defines the authorization permissions for each of its resources for both internal and external access. In case of external access, an organization can determine permissions based on a role assigned to an external entity trying to communicate across its organizational boundaries. Here, trusted association between the role and the identities need to be determined. Thus, the role/roles assigned to the external entity can be determined using an Attribute Certificate (AC). An AC contains the attribute/attributes that determines the characteristics associated with an entity. An Attribute Authority (AA) of an organization that assigns a role attribute to the AC of an entity, issues each AC. Such an AA is created and managed using Public Key Infrastructure (PKI). The OPC UA (Open Platform Communication Unified Architecture) framework has different options for user authentication and one of the options is using X509IdentityToken. Integrating ACs in order to enhance authorization mechanism in the context of Industrie 4.0 is considered in this work. A multilevel PKI is designed in order to demonstrate the feasibility of the approach through a proof of concept implementation that establishes end-to-end secure communication between OPC UA based applications. The advantages and challenges in creating such an infrastructure and further areas of research are discussed briefly.","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":"129129143","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/indin41052.2019.8972275
{"title":"5G for Vertical Industry Services","authors":"","doi":"10.1109/indin41052.2019.8972275","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972275","url":null,"abstract":"","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"48 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":"121348532","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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