Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502655
M. B. Firvida, Hendrik Thamer, C. Uriarte, M. Freitag
The new challenging demands of the current market must be satisfied by modern material flow systems, with higher levels of flexibility and reliability. However, the current material flow systems are not capable to fully fulfill these new requirements and therefore, new approaches must be explored, focusing on mechanical modularization, interface standardization and decentralized control. In this paper, an algorithm is proposed for a decentralized omnidirectional route planning and reservation for small-scaled material flow systems in the three regular tessellations, namely equilateral triangles, squares and regular hexagons. It is believed that the developed algorithm will facilitate the profitable realization of highly flexible material flow systems required by new market demands, by increasing flexibility, robustness as well as the range of achievable logistic tasks. For the evaluation of the presented system's behavior, a multi-agent-based simulation-tool was developed. The promising results show the capabilities and potential of the system.
{"title":"Decentralized omnidirectional route planning and reservation for highly flexible material flow systems with small-scaled conveyor modules","authors":"M. B. Firvida, Hendrik Thamer, C. Uriarte, M. Freitag","doi":"10.1109/ETFA.2018.8502655","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502655","url":null,"abstract":"The new challenging demands of the current market must be satisfied by modern material flow systems, with higher levels of flexibility and reliability. However, the current material flow systems are not capable to fully fulfill these new requirements and therefore, new approaches must be explored, focusing on mechanical modularization, interface standardization and decentralized control. In this paper, an algorithm is proposed for a decentralized omnidirectional route planning and reservation for small-scaled material flow systems in the three regular tessellations, namely equilateral triangles, squares and regular hexagons. It is believed that the developed algorithm will facilitate the profitable realization of highly flexible material flow systems required by new market demands, by increasing flexibility, robustness as well as the range of achievable logistic tasks. For the evaluation of the presented system's behavior, a multi-agent-based simulation-tool was developed. The promising results show the capabilities and potential of the system.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"49 1","pages":"685-692"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76795558","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502644
Edoardo Giusto, R. Ferrero, F. Gandino, B. Montrucchio, M. Rebaudengo, Mingyang Zhang
Air pollution, in particular due to particulate matter, is considered a critical issue, and it is receiving ever growing attention. Environmental monitoring is not limited to the outdoor case in crowded cities, but it is also usefully applied to indoor cases such as factories and offices, or in indoor/outdoor mixed case, such as construction sites or in general industrial plants. This paper describes the case study of an environmental monitoring system, which is compliant with Internet of Things domain. In particular it is suitable for indoor/outdoor industrial applications focused on Particulate Matter measurements. In order to create a reference model, a PM10/PM2.5 sensor not yet tested in literature is used, the Honeywell HPMA115S0-XXX. Four PM10/PM2.5 sensors are used together to test repeatability. This device turned out to be effective in esteeming the level of pollution using low cost sensors, as an alternative to expensive and not portable professional devices. The implementation proposed in this paper is able to give high R values of linear regression, guaranteeing at the same time low cost in terms of hardware and low power consumption.
{"title":"Particulate Matter Monitoring in Mixed Indoor/Outdoor Industrial Applications: A Case Study","authors":"Edoardo Giusto, R. Ferrero, F. Gandino, B. Montrucchio, M. Rebaudengo, Mingyang Zhang","doi":"10.1109/ETFA.2018.8502644","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502644","url":null,"abstract":"Air pollution, in particular due to particulate matter, is considered a critical issue, and it is receiving ever growing attention. Environmental monitoring is not limited to the outdoor case in crowded cities, but it is also usefully applied to indoor cases such as factories and offices, or in indoor/outdoor mixed case, such as construction sites or in general industrial plants. This paper describes the case study of an environmental monitoring system, which is compliant with Internet of Things domain. In particular it is suitable for indoor/outdoor industrial applications focused on Particulate Matter measurements. In order to create a reference model, a PM10/PM2.5 sensor not yet tested in literature is used, the Honeywell HPMA115S0-XXX. Four PM10/PM2.5 sensors are used together to test repeatability. This device turned out to be effective in esteeming the level of pollution using low cost sensors, as an alternative to expensive and not portable professional devices. The implementation proposed in this paper is able to give high R values of linear regression, guaranteeing at the same time low cost in terms of hardware and low power consumption.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"66 1","pages":"838-844"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75960950","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502489
A. Cachada, J. Barbosa, P. Leitão, Carla A. S. Gcraldcs, Leonel Deusdado, J. Costa, Carlos Teixeira, J. Teixeira, António H. J. Moreira, Pedro Miguel, Luís Romero
In the current manufacturing world, the role of maintenance has been receiving increasingly more attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve the corporate goals. The latest trends of maintenance leans towards the predictive approach, exemplified by the Prognosis and Health Management (PHM) and the Condition-based Maintenance (CBM) techniques. The implementation of such approaches demands a well structured architecture and can be boosted through the use of emergent ICT technologies, namely Internet of Things (IoT), cloud computing, advanced data analytics and augmented reality. Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by providing a guided intelligent decision support.
{"title":"Maintenance 4.0: Intelligent and Predictive Maintenance System Architecture","authors":"A. Cachada, J. Barbosa, P. Leitão, Carla A. S. Gcraldcs, Leonel Deusdado, J. Costa, Carlos Teixeira, J. Teixeira, António H. J. Moreira, Pedro Miguel, Luís Romero","doi":"10.1109/ETFA.2018.8502489","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502489","url":null,"abstract":"In the current manufacturing world, the role of maintenance has been receiving increasingly more attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve the corporate goals. The latest trends of maintenance leans towards the predictive approach, exemplified by the Prognosis and Health Management (PHM) and the Condition-based Maintenance (CBM) techniques. The implementation of such approaches demands a well structured architecture and can be boosted through the use of emergent ICT technologies, namely Internet of Things (IoT), cloud computing, advanced data analytics and augmented reality. Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by providing a guided intelligent decision support.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"251 1","pages":"139-146"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76532392","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502600
Konstantinos Katsigiannis, D. Serpanos
MTF -Storm is a highly effective fuzzer for industrial systems employing Modbus/TCP connectivity. It achieves high fault coverage, while offering high performance and quick testing of the System-Under- Test (SUT). Analogously to its predecessor MTF, MTF -Storm operates in 3 phases: reconnaissance, fuzz testing and failure detection. Reconnaissance identifies the memory organization of the SUT and the supported functionality, enabling selection and synthesis of fuzz testing sequences that are effective for the specific SUT. MTF -Storm develops its test sequences systematically, starting with single field tests and proceeding with combined field tests, adopting techniques for automated combinatorial software testing and reducing the test space through partitioning field value ranges. MTF -Storm has been used to evaluate 9 different Modbus/TCP implementations and has identified issues with all of them, ranging from out-of-spec responses to successful denial-of-service attacks and crashes.
{"title":"MTF -Storm: a High Performance Fuzzer for Modbus/TCP","authors":"Konstantinos Katsigiannis, D. Serpanos","doi":"10.1109/ETFA.2018.8502600","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502600","url":null,"abstract":"MTF -Storm is a highly effective fuzzer for industrial systems employing Modbus/TCP connectivity. It achieves high fault coverage, while offering high performance and quick testing of the System-Under- Test (SUT). Analogously to its predecessor MTF, MTF -Storm operates in 3 phases: reconnaissance, fuzz testing and failure detection. Reconnaissance identifies the memory organization of the SUT and the supported functionality, enabling selection and synthesis of fuzz testing sequences that are effective for the specific SUT. MTF -Storm develops its test sequences systematically, starting with single field tests and proceeding with combined field tests, adopting techniques for automated combinatorial software testing and reducing the test space through partitioning field value ranges. MTF -Storm has been used to evaluate 9 different Modbus/TCP implementations and has identified issues with all of them, ranging from out-of-spec responses to successful denial-of-service attacks and crashes.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"29 1","pages":"926-931"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79735642","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502480
Yang Liu, Xin Li
The rapid development of industry 4.0 has promoted the extensive adoption of big data analytics for manufacturing industry. In this domain, virtual metrology is a critical technique that is able to reduce manufacturing cost over a large amount of practical applications. In this paper, we propose a novel tree-based approach for simultaneous feature selection and predictive modeling to facilitate efficient virtual metrology. The proposed method accurately identifies multiple feature sets and then chooses the best candidate to minimize modeling error. As demonstrated by the experimental results based on two industrial examples, the proposed method can achieve higher modeling accuracy and find a more complete feature set than the conventional approach implemented with orthogonal matching pursuit (OMP).
{"title":"Predictive Modeling for Advanced Virtual Metrology: A Tree-Based Approach","authors":"Yang Liu, Xin Li","doi":"10.1109/ETFA.2018.8502480","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502480","url":null,"abstract":"The rapid development of industry 4.0 has promoted the extensive adoption of big data analytics for manufacturing industry. In this domain, virtual metrology is a critical technique that is able to reduce manufacturing cost over a large amount of practical applications. In this paper, we propose a novel tree-based approach for simultaneous feature selection and predictive modeling to facilitate efficient virtual metrology. The proposed method accurately identifies multiple feature sets and then chooses the best candidate to minimize modeling error. As demonstrated by the experimental results based on two industrial examples, the proposed method can achieve higher modeling accuracy and find a more complete feature set than the conventional approach implemented with orthogonal matching pursuit (OMP).","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"360 1","pages":"845-852"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80224261","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502573
Marcos A. Pisching, Marcosiris A. O. Pessoa, F. Junqueira, P. E. Miyagi
The Industry 4.0 is changing the scenario of production systems by the information and communication technologies (ICT), Cyber-Physical Systems (CPS), Internet of Things (IoT) to provide on-demand and personalized goods and services. In this context, to guide the development of Industry 4.0 systems was designed a reference architecture model for Industry 4.0 (RAMI 4.0). However, the RAMI 4.0 is in early stage, consequently requiring formal techniques to model and specify the components involved in Industry 4.0 systems. Therefore, this paper introduces the use of the formal technique derived from Petri net (PN) called Production Flow Schema (PFS) as a procedure for the analysis and specification of the parts that compose RAMI 4.0. To exemplify the proposal effectiveness, a modular productive system (MPS) is used as an application case.
{"title":"PFS/PN Technique to Model Industry 4.0 Systems Based on RAMI 4.0","authors":"Marcos A. Pisching, Marcosiris A. O. Pessoa, F. Junqueira, P. E. Miyagi","doi":"10.1109/ETFA.2018.8502573","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502573","url":null,"abstract":"The Industry 4.0 is changing the scenario of production systems by the information and communication technologies (ICT), Cyber-Physical Systems (CPS), Internet of Things (IoT) to provide on-demand and personalized goods and services. In this context, to guide the development of Industry 4.0 systems was designed a reference architecture model for Industry 4.0 (RAMI 4.0). However, the RAMI 4.0 is in early stage, consequently requiring formal techniques to model and specify the components involved in Industry 4.0 systems. Therefore, this paper introduces the use of the formal technique derived from Petri net (PN) called Production Flow Schema (PFS) as a procedure for the analysis and specification of the parts that compose RAMI 4.0. To exemplify the proposal effectiveness, a modular productive system (MPS) is used as an application case.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"90 1","pages":"1153-1156"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81009524","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502471
Alioune Mbaye, D. Lefebvre, F. Basile
This paper concerns the design of optimal control sequences for timed Petri nets under earliest firing policy. Optimality is defined with respect to the sequences duration. The proposed method computes the control firing sequence and its duration by solving integer linear problems constrained by a set of matrix inequalities that must be fulfilled by a sequence of elementary firing count vectors. To reduce the error that may affect the estimation of the sequence duration, an expansion of the net structure is proposed with respect to the time parameters. The estimation error is proved to be bounded depending on a granularity parameter used for expansion.
{"title":"Control design for timed Petri nets based on LMIs and structure expansion","authors":"Alioune Mbaye, D. Lefebvre, F. Basile","doi":"10.1109/ETFA.2018.8502471","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502471","url":null,"abstract":"This paper concerns the design of optimal control sequences for timed Petri nets under earliest firing policy. Optimality is defined with respect to the sequences duration. The proposed method computes the control firing sequence and its duration by solving integer linear problems constrained by a set of matrix inequalities that must be fulfilled by a sequence of elementary firing count vectors. To reduce the error that may affect the estimation of the sequence duration, an expansion of the net structure is proposed with respect to the time parameters. The estimation error is proved to be bounded depending on a granularity parameter used for expansion.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"21 1","pages":"426-432"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81597129","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502647
M. Kaspar, Jürgen Bock, Y. Kogan, P. Venet, Michael Weser, U. Zimmermann
We present a way of modelling device functionality in an OPC VA information model, leveraging the OPC UA programs specification. This allows for tool-independent orchestration of distributed and heterogeneous devices, while legacy devices can easily be included into the system by creating an OPC VA wrapper according to our specification.1
{"title":"Tool and Technology Independent Function Interfaces by Using a Generic OPC UA Representation","authors":"M. Kaspar, Jürgen Bock, Y. Kogan, P. Venet, Michael Weser, U. Zimmermann","doi":"10.1109/ETFA.2018.8502647","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502647","url":null,"abstract":"We present a way of modelling device functionality in an OPC VA information model, leveraging the OPC UA programs specification. This allows for tool-independent orchestration of distributed and heterogeneous devices, while legacy devices can easily be included into the system by creating an OPC VA wrapper according to our specification.1","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"17 1","pages":"1183-1186"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82792402","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502527
Martin Rudorfer, Jan Guhl, Paul Hoffmann, J. Krüger
In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.
{"title":"Holo Pick'n'Place","authors":"Martin Rudorfer, Jan Guhl, Paul Hoffmann, J. Krüger","doi":"10.1109/ETFA.2018.8502527","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502527","url":null,"abstract":"In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"2 1","pages":"1219-1222"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89712992","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 : 2018-09-01DOI: 10.1109/ETFA.2018.8502458
R. Drath, I. Ingebrigtsen
This paper describes a concept for an electronic data exchange of System Control Diagrams (SCDs) from the process engineering to control engineering domain. SCDs are standardized by the Norwegian NORSOK organisation and contain, in contrast to P&IDs, concrete function blocks and their interrelations, a real representation of the actual control application. SCDs are of interdisciplinary nature containing process and automation information at the same diagram. Their application in the Norwegian oil and gas industry is well established and of high value for the automation departments and control room operators. Seamless electronic data exchange is however not established today, the printed diagram is still the main input for the control system supplier's engineers. This paper investigates a way to utilize AutomationML to overcome this issue.
{"title":"Digitalization of the IEC PAS 63131 Standard with AutomationML","authors":"R. Drath, I. Ingebrigtsen","doi":"10.1109/ETFA.2018.8502458","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502458","url":null,"abstract":"This paper describes a concept for an electronic data exchange of System Control Diagrams (SCDs) from the process engineering to control engineering domain. SCDs are standardized by the Norwegian NORSOK organisation and contain, in contrast to P&IDs, concrete function blocks and their interrelations, a real representation of the actual control application. SCDs are of interdisciplinary nature containing process and automation information at the same diagram. Their application in the Norwegian oil and gas industry is well established and of high value for the automation departments and control room operators. Seamless electronic data exchange is however not established today, the printed diagram is still the main input for the control system supplier's engineers. This paper investigates a way to utilize AutomationML to overcome this issue.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"31 1","pages":"901-909"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90395023","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：