Pub Date : 2019-09-01DOI: 10.1109/ETFA.2019.8869373
Igor Azkarate Fernández, Mikel Ayani Eguía, Luka Eciolaza Echeverría
The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light the need for competent technicians in these technologies. The academic environment can support the education of future professionals by reproducing and solving industrial problems in the classroom. This article presents a use case in which students work on a project to develop and validate the control system of a robotic cell. The study compares the conventional way of working against the use of a digital twin and exposes the benefits of it.
{"title":"Virtual commissioning of a robotic cell: an educational case study","authors":"Igor Azkarate Fernández, Mikel Ayani Eguía, Luka Eciolaza Echeverría","doi":"10.1109/ETFA.2019.8869373","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869373","url":null,"abstract":"The emergence of software tools for testing control programs and virtual commissioning (VC) in industrial automation projects makes it possible to shorten lead times and improve product quality, but it also brings to light the need for competent technicians in these technologies. The academic environment can support the education of future professionals by reproducing and solving industrial problems in the classroom. This article presents a use case in which students work on a project to develop and validate the control system of a robotic cell. The study compares the conventional way of working against the use of a digital twin and exposes the benefits of it.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"40 1","pages":"820-825"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75567493","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8868954
A. Perzylo, Stefan Profanter, Markus Rickert, A. Knoll
The effectiveness of cognitive manufacturing systems in agile production environments heavily depend on the automatic assessment of various levels of interoperability between manufacturing resources. For taking informed decisions, a semantically rich representation of all resources in a workcell or production line is required. OPC UA provides means for communication and information exchange in such distributed settings.This paper proposes a semantic representation of a resource’s properties, in which we use OWL ontologies to encode the information models that can be found in OPC UA NodeSet specifications. We further combine these models with an OWL-based description of the resource’s geometry and – if applicable – its kinematic model. This leads to a comprehensive semantic representation of hardware and software features of a manufacturing resource, which we call semantic digital twin. Among other things, it reduces costs through virtual prototyping and enables the automatic deployment of manufacturing tasks in production lines. As a result, small-batch assemblies become financially viable.In order to minimize the effort of creating OWL-based UA NodeSet descriptions, we provide a software tool for the automatic transformation of XML-based NodeSet specifications that adhere to the OPC Foundation’s NodeSet2 XML schema.
在敏捷生产环境中，认知制造系统的有效性在很大程度上依赖于对制造资源之间各种级别互操作性的自动评估。为了做出明智的决策，需要对工作单元或生产线中的所有资源进行语义丰富的表示。OPC UA为这种分布式设置中的通信和信息交换提供了手段。本文提出了一种资源属性的语义表示，其中我们使用OWL本体对OPC UA NodeSet规范中可以找到的信息模型进行编码。我们进一步将这些模型与基于owl的资源几何描述以及(如果适用的话)其运动学模型结合起来。这导致了制造资源的硬件和软件特征的综合语义表示，我们称之为语义数字孪生。除此之外，它还通过虚拟原型降低了成本，并支持在生产线中自动部署制造任务。因此，小批量组装在经济上是可行的。为了尽量减少创建基于owl的UA NodeSet描述的工作量，我们提供了一个软件工具，用于自动转换遵循OPC基金会NodeSet2 XML模式的基于XML的NodeSet规范。
{"title":"OPC UA NodeSet Ontologies as a Pillar of Representing Semantic Digital Twins of Manufacturing Resources","authors":"A. Perzylo, Stefan Profanter, Markus Rickert, A. Knoll","doi":"10.1109/ETFA.2019.8868954","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8868954","url":null,"abstract":"The effectiveness of cognitive manufacturing systems in agile production environments heavily depend on the automatic assessment of various levels of interoperability between manufacturing resources. For taking informed decisions, a semantically rich representation of all resources in a workcell or production line is required. OPC UA provides means for communication and information exchange in such distributed settings.This paper proposes a semantic representation of a resource’s properties, in which we use OWL ontologies to encode the information models that can be found in OPC UA NodeSet specifications. We further combine these models with an OWL-based description of the resource’s geometry and – if applicable – its kinematic model. This leads to a comprehensive semantic representation of hardware and software features of a manufacturing resource, which we call semantic digital twin. Among other things, it reduces costs through virtual prototyping and enables the automatic deployment of manufacturing tasks in production lines. As a result, small-batch assemblies become financially viable.In order to minimize the effort of creating OWL-based UA NodeSet descriptions, we provide a software tool for the automatic transformation of XML-based NodeSet specifications that adhere to the OPC Foundation’s NodeSet2 XML schema.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"34 1","pages":"1085-1092"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75588480","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8868986
Rainer Müller, L. Hörauf, Attique Bashir
In production companies, manual assembly tasks are still indispensable when complex products are assembled in a dynamic environment. Since the tasks are becoming more complex and more versatile, the employees need more support during the execution of their work. Cognitive assistance systems are used to support the employee in decision-making. The humans rely on predefined process descriptions and the systems provide the user (employee) with the right information for the current process. Due to their limitations, most of the cognitive assistance systems are not suitable for the use in dynamic environments such as the rework. This article presents a solution to introduce a cognitive assistance system in dynamic environments such as the rework area, in order to assure manual assembly processes through employee centered assistance.
{"title":"Cognitive Assistance Systems For Dynamic Environments","authors":"Rainer Müller, L. Hörauf, Attique Bashir","doi":"10.1109/ETFA.2019.8868986","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8868986","url":null,"abstract":"In production companies, manual assembly tasks are still indispensable when complex products are assembled in a dynamic environment. Since the tasks are becoming more complex and more versatile, the employees need more support during the execution of their work. Cognitive assistance systems are used to support the employee in decision-making. The humans rely on predefined process descriptions and the systems provide the user (employee) with the right information for the current process. Due to their limitations, most of the cognitive assistance systems are not suitable for the use in dynamic environments such as the rework. This article presents a solution to introduce a cognitive assistance system in dynamic environments such as the rework area, in order to assure manual assembly processes through employee centered assistance.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"16 1","pages":"649-656"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72658719","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869165
Roberto Nogueira, João C. P. Reis, R. Pinto, G. Gonçalves
Absolute automation in certain industries, such as the automotive industry, has proven to be disadvantageous. Robots are fairly capable when performing tasks that are repetitive and demand precision. However, a hybrid solution comprised of the adaptability and resourcefulness of humans cooperating, in the same task, with the precision and efficiency of machines is the next step for automation. Manipulators, however, lack self-adaptability and true collaborative behaviour. And so, through the integration of vision systems, manipulators can perceive their environment and also understand complex interactions. In this paper, a vision-based collaborative proof-of-concept framework is proposed using the Kinect v2, a UR5 robotic manipulator and MATLAB. This framework implements 3 behavioural modes, 1) a Self-Adaptive mode for obstacle detection and avoidance, 2) a Collaborative mode for physical human-robot interaction and 3) a standby Safe mode. These modes are activated with recourse to gestures, by virtue of the body tracking and gesture recognition algorithm of the Kinect v2. Additionally, to allow self-recognition of the robot, the Region Growing segmentation is combined with the UR5’s Forward Kinematics for precise, near real-time segmentation. Furthermore, self-adaptive reactive behaviour is implemented by using artificial repulsive action for the manipulator’s end-effector. Reaction times were tested for all three modes, being that Collaborative and Safe mode would take up to 5 seconds to accomplish the movement, while Self-Adaptive mode could take up to 10 seconds between reactions.
{"title":"Self-adaptive Cobots in Cyber-Physical Production Systems","authors":"Roberto Nogueira, João C. P. Reis, R. Pinto, G. Gonçalves","doi":"10.1109/ETFA.2019.8869165","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869165","url":null,"abstract":"Absolute automation in certain industries, such as the automotive industry, has proven to be disadvantageous. Robots are fairly capable when performing tasks that are repetitive and demand precision. However, a hybrid solution comprised of the adaptability and resourcefulness of humans cooperating, in the same task, with the precision and efficiency of machines is the next step for automation. Manipulators, however, lack self-adaptability and true collaborative behaviour. And so, through the integration of vision systems, manipulators can perceive their environment and also understand complex interactions. In this paper, a vision-based collaborative proof-of-concept framework is proposed using the Kinect v2, a UR5 robotic manipulator and MATLAB. This framework implements 3 behavioural modes, 1) a Self-Adaptive mode for obstacle detection and avoidance, 2) a Collaborative mode for physical human-robot interaction and 3) a standby Safe mode. These modes are activated with recourse to gestures, by virtue of the body tracking and gesture recognition algorithm of the Kinect v2. Additionally, to allow self-recognition of the robot, the Region Growing segmentation is combined with the UR5’s Forward Kinematics for precise, near real-time segmentation. Furthermore, self-adaptive reactive behaviour is implemented by using artificial repulsive action for the manipulator’s end-effector. Reaction times were tested for all three modes, being that Collaborative and Safe mode would take up to 5 seconds to accomplish the movement, while Self-Adaptive mode could take up to 10 seconds between reactions.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"44 1","pages":"521-528"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80138731","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869411
Greg Hawkridge, M. P. Hernández, Lavindra de Silva, G. Terrazas, Yedige Tlegenov, D. McFarlane, Alan Thorne
This paper concerns the development of low-cost solutions to address challenges in digital manufacturing (DM). Service Oriented Architectures (SOAs) are a promising approach for addressing the requirements of a low-cost DM architecture. Interaction between services in a SOA is facilitated by a connectivity technology, i.e., a framework for interoperable data exchange between heterogeneous participants. We review a variety of connectivity technologies according to their suitability for use in an SME manufacturer’s production environment, and we assess how they have been integrated into past architectures. We then provide insights into an incremental and modular architecture for manufacturing SMEs.
{"title":"Tying Together Solutions for Digital Manufacturing: Assessment of Connectivity Technologies & Approaches","authors":"Greg Hawkridge, M. P. Hernández, Lavindra de Silva, G. Terrazas, Yedige Tlegenov, D. McFarlane, Alan Thorne","doi":"10.1109/ETFA.2019.8869411","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869411","url":null,"abstract":"This paper concerns the development of low-cost solutions to address challenges in digital manufacturing (DM). Service Oriented Architectures (SOAs) are a promising approach for addressing the requirements of a low-cost DM architecture. Interaction between services in a SOA is facilitated by a connectivity technology, i.e., a framework for interoperable data exchange between heterogeneous participants. We review a variety of connectivity technologies according to their suitability for use in an SME manufacturer’s production environment, and we assess how they have been integrated into past architectures. We then provide insights into an incremental and modular architecture for manufacturing SMEs.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"241 1","pages":"1383-1387"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80476856","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869047
M. Faroni, M. Beschi, N. Pedrocchi
Human robot collaboration requires new planning strategies to guarantee an efficient and safe coexistence of robots and humans in the workspace. We propose a framework based on a model predictive control approach to trajectory scaling and inverse kinematics. The online modification of the velocity override slows down the task to ensure safety and the redundancy of the system is exploited to maximize the distance from the operator. Experimental results on a 7-degree-of-freedom robotic system prove the effectiveness of the method.
{"title":"An MPC Framework for Online Motion Planning in Human-Robot Collaborative Tasks","authors":"M. Faroni, M. Beschi, N. Pedrocchi","doi":"10.1109/ETFA.2019.8869047","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869047","url":null,"abstract":"Human robot collaboration requires new planning strategies to guarantee an efficient and safe coexistence of robots and humans in the workspace. We propose a framework based on a model predictive control approach to trajectory scaling and inverse kinematics. The online modification of the velocity override slows down the task to ensure safety and the redundancy of the system is exploited to maximize the distance from the operator. Experimental results on a 7-degree-of-freedom robotic system prove the effectiveness of the method.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"1 1","pages":"1555-1558"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77228827","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869192
Jacobo Sáenz, L. D. L. Torre, J. Chacón, S. Dormido
Web-based courses have reached a great level of acceptance in all the areas of education. In this sense, many web platforms for online courses offer resources as complement to the theory sessions. In Science, Technology, Engineering and Mathematics (STEM) areas, the online resources may include online Laboratories. These labs are commonly a must have in the learning process. The usage of labs in automatic control education is a key element, and it gains more importance in the distance education paradigm due to the difficulties involved. However, creating and maintaining labs is not an easy task, and the online labs design comprises many steps which are time-consuming. On this subject, the whole process may be easier when using the right design tools and architectures. This works shows an implementation inside the tool Easy Java JavaScript Simulations and an use example with the coupled electric drives laboratory.
{"title":"A new architecture for the design of virtual/remote labs: The coupled drives system as a case of study","authors":"Jacobo Sáenz, L. D. L. Torre, J. Chacón, S. Dormido","doi":"10.1109/ETFA.2019.8869192","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869192","url":null,"abstract":"Web-based courses have reached a great level of acceptance in all the areas of education. In this sense, many web platforms for online courses offer resources as complement to the theory sessions. In Science, Technology, Engineering and Mathematics (STEM) areas, the online resources may include online Laboratories. These labs are commonly a must have in the learning process. The usage of labs in automatic control education is a key element, and it gains more importance in the distance education paradigm due to the difficulties involved. However, creating and maintaining labs is not an easy task, and the online labs design comprises many steps which are time-consuming. On this subject, the whole process may be easier when using the right design tools and architectures. This works shows an implementation inside the tool Easy Java JavaScript Simulations and an use example with the coupled electric drives laboratory.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"59 1","pages":"769-775"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83588670","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 : 2019-09-01DOI: 10.1109/etfa.2019.8869177
{"title":"Cybersecurity in Industrial Control Systems [breaker page]","authors":"","doi":"10.1109/etfa.2019.8869177","DOIUrl":"https://doi.org/10.1109/etfa.2019.8869177","url":null,"abstract":"","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85531361","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869196
O. Gan
Placement of passive UHF RFID tags and readers is an important consideration for accurate tracking of returnable transport items (RTI). The placement problem refers to the task of determining the position and orientation of RFID tags on RTIs and RFID reader in an interrogation zone such that the highest possible read accuracy can be achieved. The challenge with RFID tag and reader placement problem lies in the exhaustive evaluation of many possible combinations of positions and orientations of tags and readers. The paper presents a graph model based readability test approach for finding the least number of tags and their placement on RTIs and the least number of readers and their placement in an interrogation zone that yield the highest read accuracy, count and strength.
{"title":"Placement of Passive UHF RFID Tags and Readers Using Graph Models","authors":"O. Gan","doi":"10.1109/ETFA.2019.8869196","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869196","url":null,"abstract":"Placement of passive UHF RFID tags and readers is an important consideration for accurate tracking of returnable transport items (RTI). The placement problem refers to the task of determining the position and orientation of RFID tags on RTIs and RFID reader in an interrogation zone such that the highest possible read accuracy can be achieved. The challenge with RFID tag and reader placement problem lies in the exhaustive evaluation of many possible combinations of positions and orientations of tags and readers. The paper presents a graph model based readability test approach for finding the least number of tags and their placement on RTIs and the least number of readers and their placement in an interrogation zone that yield the highest read accuracy, count and strength.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"5 1","pages":"640-645"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84061332","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 : 2019-09-01DOI: 10.1109/ETFA.2019.8869049
Ke Shen, Joachim David, Toon De Pessemier, L. Martens, W. Joseph
Continuous manufacturing is playing an increasingly important role in modern industry, while research on production scheduling mainly focuses on traditional batch processing scenarios. This paper provides an efficient genetic method to minimize energy cost, failure cost, conversion cost and tardiness cost involved in the continuous manufacturing. With the help of Industrial Internet of Things, a multi-objective optimization model is built based on acquired production and environment data. Compared with a conventional genetic algorithm, non-random initialization and elitist selection were applied in the proposed algorithm for better convergence speed. Problem specific constraints such as due date and precedence are evaluated in each generation. This method was demonstrated in the plant of a pasta manufacturer. In experiments of 71 jobs in a one-month window, near-optimal schedules were found with significant reductions in costs in comparison to the existing original schedule.
{"title":"An efficient genetic method for multi-objective continuous production scheduling in Industrial Internet of Things","authors":"Ke Shen, Joachim David, Toon De Pessemier, L. Martens, W. Joseph","doi":"10.1109/ETFA.2019.8869049","DOIUrl":"https://doi.org/10.1109/ETFA.2019.8869049","url":null,"abstract":"Continuous manufacturing is playing an increasingly important role in modern industry, while research on production scheduling mainly focuses on traditional batch processing scenarios. This paper provides an efficient genetic method to minimize energy cost, failure cost, conversion cost and tardiness cost involved in the continuous manufacturing. With the help of Industrial Internet of Things, a multi-objective optimization model is built based on acquired production and environment data. Compared with a conventional genetic algorithm, non-random initialization and elitist selection were applied in the proposed algorithm for better convergence speed. Problem specific constraints such as due date and precedence are evaluated in each generation. This method was demonstrated in the plant of a pasta manufacturer. In experiments of 71 jobs in a one-month window, near-optimal schedules were found with significant reductions in costs in comparison to the existing original schedule.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"27 1","pages":"1119-1126"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78088636","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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