Pub Date : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442237
Joseph Rosen, Nathaniel Hai, M. Rai
Coded aperture correlation holography (COACH) is a family of electrooptical techniques to record digital holograms of three-dimensional scenes. We review several new methods and systems of COACH with better imaging performance than the conventional techniques.
{"title":"Recent Developments of Holographic Imaging by Coded Phase Apertures","authors":"Joseph Rosen, Nathaniel Hai, M. Rai","doi":"10.1109/INDIN45582.2020.9442237","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442237","url":null,"abstract":"Coded aperture correlation holography (COACH) is a family of electrooptical techniques to record digital holograms of three-dimensional scenes. We review several new methods and systems of COACH with better imaging performance than the conventional techniques.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"65 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121983312","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 : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442086
Yu Wang, T. Nguyen, Chengquan Ju, Yan Xu, Benfei Wang, X. Feng
In this paper, a fully distributed secondary-tertiary coordinated control framework for islanded ac microgrids has been proposed. First, the distributed secondary control for frequency restoration, voltage regulation and power sharing has been proposed. Therefore, the system frequency and bus voltages can be maintained at set points. Each DG can follow the tertiary control signals, while the rest load-generation mismatch is proportionally shared among DGs. Then in the tertiary control, optimal power flow of islanded ac microgrids is formulated as an optimization problem and solved by alternating direction method of multipliers. The entire control framework is achieved in a distributed way with sparse communication networks among each agent. A cyber-physical microgrid platform has been built to validate the proposed controller design in a real-time and hardware-in-the-loop condition. A six-bus three-DG microgrid is developed on the platform and the experimental results validate the effectiveness of the proposed method.
{"title":"A Distributed Secondary-Tertiary Coordinated Control Framework for Islanded Microgrids","authors":"Yu Wang, T. Nguyen, Chengquan Ju, Yan Xu, Benfei Wang, X. Feng","doi":"10.1109/INDIN45582.2020.9442086","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442086","url":null,"abstract":"In this paper, a fully distributed secondary-tertiary coordinated control framework for islanded ac microgrids has been proposed. First, the distributed secondary control for frequency restoration, voltage regulation and power sharing has been proposed. Therefore, the system frequency and bus voltages can be maintained at set points. Each DG can follow the tertiary control signals, while the rest load-generation mismatch is proportionally shared among DGs. Then in the tertiary control, optimal power flow of islanded ac microgrids is formulated as an optimization problem and solved by alternating direction method of multipliers. The entire control framework is achieved in a distributed way with sparse communication networks among each agent. A cyber-physical microgrid platform has been built to validate the proposed controller design in a real-time and hardware-in-the-loop condition. A six-bus three-DG microgrid is developed on the platform and the experimental results validate the effectiveness of the proposed method.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861539","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 : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442247
B. Silva, G. Hancke
It is well known that location accuracy is low in non-line-of-sight (NLOS) scenarios. Several techniques have been proposed to mitigate ranging errors to improve location accuracy. These techniques play an important role in accurate localization for many applications which target safety and productivity in harsh industrial environments. In some cases, these mitigation techniques target specific NLOS scenarios, therefore such scenarios have to identified before mitigation can be applied. In this paper, we study identification of two types of NLOS scenarios that are common indoors: Through-the-Wall (TTW) and Around-the-Corner (ATC). We conduct a measurement campaign in various indoor TTW and ATC scenarios, and show that these two types of NLOS scenarios can be differentiated with high accuracy using channel statistics from ultra-wideband radios.
{"title":"Around-the-Corner or Through-the-Wall? Classification of Non-Line-of-Sight Conditions","authors":"B. Silva, G. Hancke","doi":"10.1109/INDIN45582.2020.9442247","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442247","url":null,"abstract":"It is well known that location accuracy is low in non-line-of-sight (NLOS) scenarios. Several techniques have been proposed to mitigate ranging errors to improve location accuracy. These techniques play an important role in accurate localization for many applications which target safety and productivity in harsh industrial environments. In some cases, these mitigation techniques target specific NLOS scenarios, therefore such scenarios have to identified before mitigation can be applied. In this paper, we study identification of two types of NLOS scenarios that are common indoors: Through-the-Wall (TTW) and Around-the-Corner (ATC). We conduct a measurement campaign in various indoor TTW and ATC scenarios, and show that these two types of NLOS scenarios can be differentiated with high accuracy using channel statistics from ultra-wideband radios.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125225306","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 : 2020-07-20DOI: 10.1109/indin45582.2020.9442231
{"title":"Emerging Communication and Computing Technologies for the Industrial Cyber Physical Systems","authors":"","doi":"10.1109/indin45582.2020.9442231","DOIUrl":"https://doi.org/10.1109/indin45582.2020.9442231","url":null,"abstract":"","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222957","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}
A novel adaptive fuzzy approach is proposed for the control system which is used for a lower limb exoskeleton developed by us. In this study, the fuzzy compensation is used to approximate the human-exoskeleton interaction, uncertainties and unmodeled items of the exoskeleton system. Above all, a detailed dynamic model of swing leg is constructed with a consideration of the actuators, and also the human-exoskeleton interaction and uncertainties are taken into account in the dynamic modeling. Then, an adaptive controller with fuzzy compensator which can adjust the control law through the output is designed for the lower limb exoskeleton with a stability analysis. The simulation results showed that the proposed method can effectively help the swing leg to track the desired trajectory with little error. With the presented control strategy, it is able to mitigate the effects of uncertainties, imprecise model and human-exoskeleton interaction to the control of lower limb exoskeleton.
{"title":"Adaptive Control of a Lower Limb Exoskeleton Based on Fuzzy Compensation","authors":"Zhong Li, Xiaorong Guan, Cheng Xu, Huibin Li, K. Zou, Meng Zhu","doi":"10.1109/INDIN45582.2020.9442169","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442169","url":null,"abstract":"A novel adaptive fuzzy approach is proposed for the control system which is used for a lower limb exoskeleton developed by us. In this study, the fuzzy compensation is used to approximate the human-exoskeleton interaction, uncertainties and unmodeled items of the exoskeleton system. Above all, a detailed dynamic model of swing leg is constructed with a consideration of the actuators, and also the human-exoskeleton interaction and uncertainties are taken into account in the dynamic modeling. Then, an adaptive controller with fuzzy compensator which can adjust the control law through the output is designed for the lower limb exoskeleton with a stability analysis. The simulation results showed that the proposed method can effectively help the swing leg to track the desired trajectory with little error. With the presented control strategy, it is able to mitigate the effects of uncertainties, imprecise model and human-exoskeleton interaction to the control of lower limb exoskeleton.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127282971","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}
Modern Industrial Internet-of-Things (IIoT) requires reliable interaction and integration of data in the network. Thus, time sensitive networking (TSN) is a promising technology due to deterministic latency guarantee mechanisms for data transmission. However, the multiple mechanisms are based on the networkwide precise time synchronization. In this paper, to achieve precise and reliable clock synchronization of TSN, we propose a hierarchical timing-frequency synchronization mechanism. Specifically, the network is divided into two layers according to the network clock synchronization function. The top layer adopts tree-based synchronization to provide a global clock and an interface with external standard clock synchronization, and the underlying one adopts a distributed synchronization protocol to improve the reliability, which obtains the reference clock by multiple nodes to avoid the single point of failure. To improve synchronization efficiency, a time-frequency fusion synchronization mechanism is proposed, which comprehensively considers the synchronization time slot difference and the time-frequency coupling relationship to improve the synchronization speed under the same synchronization period. Simulation results show that the proposed synchronization mechanism has higher synchronization efficiency than the traditional methods, and improves the clock synchronization speed and accuracy significantly.
{"title":"Hierarchical Time-frequency Synchronization Mechanism for Time Sensitive Networking","authors":"Yunzhu Yu, Kaijie Wu, Qimin Xu, Xiang Chen, Cailian Chen","doi":"10.1109/INDIN45582.2020.9442095","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442095","url":null,"abstract":"Modern Industrial Internet-of-Things (IIoT) requires reliable interaction and integration of data in the network. Thus, time sensitive networking (TSN) is a promising technology due to deterministic latency guarantee mechanisms for data transmission. However, the multiple mechanisms are based on the networkwide precise time synchronization. In this paper, to achieve precise and reliable clock synchronization of TSN, we propose a hierarchical timing-frequency synchronization mechanism. Specifically, the network is divided into two layers according to the network clock synchronization function. The top layer adopts tree-based synchronization to provide a global clock and an interface with external standard clock synchronization, and the underlying one adopts a distributed synchronization protocol to improve the reliability, which obtains the reference clock by multiple nodes to avoid the single point of failure. To improve synchronization efficiency, a time-frequency fusion synchronization mechanism is proposed, which comprehensively considers the synchronization time slot difference and the time-frequency coupling relationship to improve the synchronization speed under the same synchronization period. Simulation results show that the proposed synchronization mechanism has higher synchronization efficiency than the traditional methods, and improves the clock synchronization speed and accuracy significantly.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130579913","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 : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442201
Jiayi Zhang, B. Ahmad, R. Harrison, A. Colombo, Steffen Raasch
Digital modelling and simulation of manufacturing processes find increasing use in the manufacturing industry. This provides an opportunity to use model information and carry them over into the software development phase to realise automatic PLC code generation. This paper extends the work presented in [1] to enable generation of function blocks for resource components rather than manually coding FBs. The approach is based on mapping table based that allow users to select required functionality, such as auto and manual control, diagnostic, return to initial position for machine components. This mapping table is filled by a programmer and links the information together. The approach provides a structured code that is generated in the IEC 61131–3 Structured Text. Additionally, the paper presents a use case as a proof of concept implementation. The approach is formalized and justified from the viewpoint of the RAM14.0 specification and resulted in between 62 – 81 per cent time saving compared to manual coding of the FBs.
{"title":"An approach for resource Function Block generation: Towards RAMI4.0-compliant PLC Programming","authors":"Jiayi Zhang, B. Ahmad, R. Harrison, A. Colombo, Steffen Raasch","doi":"10.1109/INDIN45582.2020.9442201","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442201","url":null,"abstract":"Digital modelling and simulation of manufacturing processes find increasing use in the manufacturing industry. This provides an opportunity to use model information and carry them over into the software development phase to realise automatic PLC code generation. This paper extends the work presented in [1] to enable generation of function blocks for resource components rather than manually coding FBs. The approach is based on mapping table based that allow users to select required functionality, such as auto and manual control, diagnostic, return to initial position for machine components. This mapping table is filled by a programmer and links the information together. The approach provides a structured code that is generated in the IEC 61131–3 Structured Text. Additionally, the paper presents a use case as a proof of concept implementation. The approach is formalized and justified from the viewpoint of the RAM14.0 specification and resulted in between 62 – 81 per cent time saving compared to manual coding of the FBs.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393069","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 : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442118
Weiwei Chen, Yun Yang, Po Yang
Proper scoring of sleep stages may offer more intuitive clinical information for assessing the sleep health and improving the diagnosis of sleep disorders in the smart home healthcare. It usually depends on an accurate analysis of the collected physiological signals, especially for the raw sleep Electroencephalogram (EEG). Most of the methods currently available just rely on the pre-processing or handcrafted features that need prior knowledge and preliminary analysis from the sleep experts and only a few of them take full advantage of the temporal information such as the inter-epoch dependency or transition rules among stages, which are more effective for identifying the differences among the sleep stages. In such cases, we proposed a novel hybrid neural network named HNSleepNet. It utilizes a two-branch CNN with multi-scale convolution kernels to capture the time-invariant features from the adjacent sleep EEG epochs both in time and frequency domains automatically, and attention-based residual encoder-decoder LSTM layers to learn the inter-epoch dependency and transition rules at the Sequence-wise level. After the two-step training, HNSleepNet can perform sequence-to-sequence automatic sleep staging with a raw single channel EEG in an end-to-end way. As the experimental results demonstrated, its performance achieved a better overall accuracy and macro F1-score (MASS: 88%, 0.85, Sleep-EDF: 87%-80%, 0.79-0.74) compared with the state-of-the-art approaches on various single-channels (F4-EOG (Left), Fpz-Cz and Pz-Oz) in two public datasets with different scoring standards (AASM and R&K), We hope this progress can make clinically practical value in promoting home sleep studies on various home health-care devices.
{"title":"HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG","authors":"Weiwei Chen, Yun Yang, Po Yang","doi":"10.1109/INDIN45582.2020.9442118","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442118","url":null,"abstract":"Proper scoring of sleep stages may offer more intuitive clinical information for assessing the sleep health and improving the diagnosis of sleep disorders in the smart home healthcare. It usually depends on an accurate analysis of the collected physiological signals, especially for the raw sleep Electroencephalogram (EEG). Most of the methods currently available just rely on the pre-processing or handcrafted features that need prior knowledge and preliminary analysis from the sleep experts and only a few of them take full advantage of the temporal information such as the inter-epoch dependency or transition rules among stages, which are more effective for identifying the differences among the sleep stages. In such cases, we proposed a novel hybrid neural network named HNSleepNet. It utilizes a two-branch CNN with multi-scale convolution kernels to capture the time-invariant features from the adjacent sleep EEG epochs both in time and frequency domains automatically, and attention-based residual encoder-decoder LSTM layers to learn the inter-epoch dependency and transition rules at the Sequence-wise level. After the two-step training, HNSleepNet can perform sequence-to-sequence automatic sleep staging with a raw single channel EEG in an end-to-end way. As the experimental results demonstrated, its performance achieved a better overall accuracy and macro F1-score (MASS: 88%, 0.85, Sleep-EDF: 87%-80%, 0.79-0.74) compared with the state-of-the-art approaches on various single-channels (F4-EOG (Left), Fpz-Cz and Pz-Oz) in two public datasets with different scoring standards (AASM and R&K), We hope this progress can make clinically practical value in promoting home sleep studies on various home health-care devices.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134513584","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 : 2020-07-20DOI: 10.1109/indin45582.2020.9442251
{"title":"Intelligent Information Technology and the Applications on Autonomous Marine Systems","authors":"","doi":"10.1109/indin45582.2020.9442251","DOIUrl":"https://doi.org/10.1109/indin45582.2020.9442251","url":null,"abstract":"","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192438","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 : 2020-07-20DOI: 10.1109/INDIN45582.2020.9442203
Rongkai Wang, Luyue Ji, Tongtong Ren, Shibo He, Zhiguo Shi
Industrial Internet of Things (IIoT) as an emerging and prospective paradigm, has great potential to significantly improve production efficiency of manufacturing systems. An open data exchange standard, namely OPCUA, has been proposed for the IIoT systems to provide semantic interoperability over heterogeneous devices. However, a mass of traditional devices that do not support OPC UA, are still operating in legacy automation systems. To address this problem, in this paper, we propose a three-layer IIoT architecture for manufacturing system, which combines OPC UA-based gateways and Time-Sensitive Software-Defined Networking (TSSDN) switches to realize the efficient and reliable communication. The OPC UA is adopted to realize the interoperability of heterogeneous devices and the TSSDN achieves centralized control of network resources and flexible configuration in real-time industrial networks. Finally, we design a smart factory test bed, to evaluate the applicability of the proposed system architecture, in which we implement the information model and data transmission based on OPC UA.
工业物联网(Industrial Internet of Things, IIoT)作为一种新兴的、具有发展前景的技术范式，具有显著提高制造系统生产效率的巨大潜力。为了在异构设备上提供语义互操作性，提出了一种开放数据交换标准，即OPCUA。然而，大量不支持OPC UA的传统设备仍在传统自动化系统中运行。为了解决这一问题，本文提出了一种面向制造系统的三层工业物联网架构，该架构将基于OPC ua的网关与时间敏感软件定义网络(TSSDN)交换机相结合，实现高效可靠的通信。在实时工业网络中，采用OPC UA实现异构设备的互操作，TSSDN实现网络资源的集中控制和灵活配置。最后，我们设计了一个智能工厂测试平台，以评估所提出的系统架构的适用性，其中我们实现了基于OPC UA的信息模型和数据传输。
{"title":"A Low-latency and Interoperable Industrial Internet of Things Architecture for Manufacturing Systems","authors":"Rongkai Wang, Luyue Ji, Tongtong Ren, Shibo He, Zhiguo Shi","doi":"10.1109/INDIN45582.2020.9442203","DOIUrl":"https://doi.org/10.1109/INDIN45582.2020.9442203","url":null,"abstract":"Industrial Internet of Things (IIoT) as an emerging and prospective paradigm, has great potential to significantly improve production efficiency of manufacturing systems. An open data exchange standard, namely OPCUA, has been proposed for the IIoT systems to provide semantic interoperability over heterogeneous devices. However, a mass of traditional devices that do not support OPC UA, are still operating in legacy automation systems. To address this problem, in this paper, we propose a three-layer IIoT architecture for manufacturing system, which combines OPC UA-based gateways and Time-Sensitive Software-Defined Networking (TSSDN) switches to realize the efficient and reliable communication. The OPC UA is adopted to realize the interoperability of heterogeneous devices and the TSSDN achieves centralized control of network resources and flexible configuration in real-time industrial networks. Finally, we design a smart factory test bed, to evaluate the applicability of the proposed system architecture, in which we implement the information model and data transmission based on OPC UA.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133393290","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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