Pub Date : 2019-07-01DOI: 10.1109/indin41052.2019.8972239
{"title":"Distributed and Networked Control and Automation Systems","authors":"","doi":"10.1109/indin41052.2019.8972239","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972239","url":null,"abstract":"","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132636163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972328
I. Weiß, A. Hanel, E. Trunzer, Mina Fahimi Pirehgalin, S. Unland, B. Vogel‐Heuser
The availability of huge amounts of process data enables data-driven methods to optimize production processes. Predictive Maintenance is one of the common applications to transfer data to useful information for improving the Overall Equipment Effectiveness. In this paper, a data-driven method for condition monitoring of control valves in industrial process plants is developed based on data collected during test runs. In contrast to the state of the art condition monitoring in control valves, the test runs make it possible to define a threshold that differentiates normal from abnormal valve behaviour. Furthermore, the characteristics of the model results allow the identification of different defects. The application of the proposed method to a historic industrial data set validate the applicability in noisy industrial use cases.
{"title":"Data-Driven Condition Monitoring of Control Valves in Laboratory Test Runs","authors":"I. Weiß, A. Hanel, E. Trunzer, Mina Fahimi Pirehgalin, S. Unland, B. Vogel‐Heuser","doi":"10.1109/INDIN41052.2019.8972328","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972328","url":null,"abstract":"The availability of huge amounts of process data enables data-driven methods to optimize production processes. Predictive Maintenance is one of the common applications to transfer data to useful information for improving the Overall Equipment Effectiveness. In this paper, a data-driven method for condition monitoring of control valves in industrial process plants is developed based on data collected during test runs. In contrast to the state of the art condition monitoring in control valves, the test runs make it possible to define a threshold that differentiates normal from abnormal valve behaviour. Furthermore, the characteristics of the model results allow the identification of different defects. The application of the proposed method to a historic industrial data set validate the applicability in noisy industrial use cases.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132806871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972190
Lucas Sakurada, J. Barbosa, P. Leitão
In recent years, the intense urbanization, and consequently the traffic congestion, has been a major concern of large cities. In this context, the development of smart parkings is a suitable solution to deal with this problem. However, the complexity and requirements imposed by such large-scale systems are an obstacle to its easy implementation. In this sense, it is fundamental to adopt emergent ICT and Artificial Intelligence technologies that are capable to address the imposed requirements. Multi-Agent Systems (MAS) is a suitable approach to face this challenge by providing modularity, flexibility, reconfigurability and fast response to condition change based on its decentralized nature. The use of such agent-based solutions to control physical assets, create novel systems entitled Cyber-Physical Systems (CPS) where the interconnection between the cyber and the physical parts is a crucial issue. This paper focuses the interface between the software agents of a smart parking system with the physical control devices of the parking spots. For this purpose, different interface practices were implemented and tested, considering different interaction schemes and technologies. These alternative interface practices were analyzed taking into consideration the response time, scalability and re-usability parameters.
{"title":"Deployment of Industrial Agents in a Smart Parking System","authors":"Lucas Sakurada, J. Barbosa, P. Leitão","doi":"10.1109/INDIN41052.2019.8972190","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972190","url":null,"abstract":"In recent years, the intense urbanization, and consequently the traffic congestion, has been a major concern of large cities. In this context, the development of smart parkings is a suitable solution to deal with this problem. However, the complexity and requirements imposed by such large-scale systems are an obstacle to its easy implementation. In this sense, it is fundamental to adopt emergent ICT and Artificial Intelligence technologies that are capable to address the imposed requirements. Multi-Agent Systems (MAS) is a suitable approach to face this challenge by providing modularity, flexibility, reconfigurability and fast response to condition change based on its decentralized nature. The use of such agent-based solutions to control physical assets, create novel systems entitled Cyber-Physical Systems (CPS) where the interconnection between the cyber and the physical parts is a crucial issue. This paper focuses the interface between the software agents of a smart parking system with the physical control devices of the parking spots. For this purpose, different interface practices were implemented and tested, considering different interaction schemes and technologies. These alternative interface practices were analyzed taking into consideration the response time, scalability and re-usability parameters.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972149
Zhijie Zhang, W. Dai, Zhongxiu Xie, Wenjin Wang, Wen Wang
In the facial paralysis rehabilitation training progresses, evaluation processes waste huge efforts from both patients and doctors. In the meantime, doctors’ subjective opinions cause inaccuracy result. Therefore, it is urgent to construct an objective grading system to acknowledge doctors of their patients’ exact situation. In this paper, a method is present to construct a hybrid grading system based considering both machine learning results and doctor experience. Firstly, an online marking system based on the web is designed to collect and analyze samples. Then, evaluation models are constructed through TensorFlow from the samples from doctor to grade patients. Finally, various models are mixed to construct the hybrid evaluation system. Results are achieved, which can preliminarily evaluate the patients for their recovery conditions. Although the accuracy is not satisfied enough, it can be seen that the method is effective in facial paralysis rehabilitation training. With improvements in models, an automatic evaluation system will be applied to the rehabilitation of patients.
{"title":"A Hybrid Evaluation System for Facial Paralysis Rehabilitation based on Machine Learning and Doctor Experience","authors":"Zhijie Zhang, W. Dai, Zhongxiu Xie, Wenjin Wang, Wen Wang","doi":"10.1109/INDIN41052.2019.8972149","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972149","url":null,"abstract":"In the facial paralysis rehabilitation training progresses, evaluation processes waste huge efforts from both patients and doctors. In the meantime, doctors’ subjective opinions cause inaccuracy result. Therefore, it is urgent to construct an objective grading system to acknowledge doctors of their patients’ exact situation. In this paper, a method is present to construct a hybrid grading system based considering both machine learning results and doctor experience. Firstly, an online marking system based on the web is designed to collect and analyze samples. Then, evaluation models are constructed through TensorFlow from the samples from doctor to grade patients. Finally, various models are mixed to construct the hybrid evaluation system. Results are achieved, which can preliminarily evaluate the patients for their recovery conditions. Although the accuracy is not satisfied enough, it can be seen that the method is effective in facial paralysis rehabilitation training. With improvements in models, an automatic evaluation system will be applied to the rehabilitation of patients.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"62 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131894863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972251
P. Wunderlich, Nemanja Hranisavljevic
The increasing amount of alarms and information for an operator in a modern plant becomes a significant safety risk. Although the notifications are a valuable support, they also lead to the curse of overloading with information for the operator. Due to the huge amount of alarms it is almost impossible to separate the crucial information from the insignificant ones. Therefore, new procedures are required to reduce these alarm floods and support the operator to minimize the safety risk. One approach is based on learning a causal model that represents the relationships between the alarms. This allows alarm sequences that are causally implied to be reduced to the root cause alarm. Fundamental element of this approach is the causal model. Therefore in this work, different probabilistic graphical models are considered and evaluated on the basis of appropriate criteria. A real use case of a bottle filling module serves as a benchmark for how well they are suitable as a causal model for the application in alarm flood reduction.
{"title":"Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction","authors":"P. Wunderlich, Nemanja Hranisavljevic","doi":"10.1109/INDIN41052.2019.8972251","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972251","url":null,"abstract":"The increasing amount of alarms and information for an operator in a modern plant becomes a significant safety risk. Although the notifications are a valuable support, they also lead to the curse of overloading with information for the operator. Due to the huge amount of alarms it is almost impossible to separate the crucial information from the insignificant ones. Therefore, new procedures are required to reduce these alarm floods and support the operator to minimize the safety risk. One approach is based on learning a causal model that represents the relationships between the alarms. This allows alarm sequences that are causally implied to be reduced to the root cause alarm. Fundamental element of this approach is the causal model. Therefore in this work, different probabilistic graphical models are considered and evaluated on the basis of appropriate criteria. A real use case of a bottle filling module serves as a benchmark for how well they are suitable as a causal model for the application in alarm flood reduction.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134180402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/indin41052.2019.8972013
{"title":"Deep Learning Methods for Medical Image Analysis","authors":"","doi":"10.1109/indin41052.2019.8972013","DOIUrl":"https://doi.org/10.1109/indin41052.2019.8972013","url":null,"abstract":"","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133826882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972065
Maximilian Zarte, Jeffrey Wermann, Philippe Heeren, Agnes Pechmann
A wide range of skills, knowledge, and competencies are required and expected from students to solve current problems for digitalization. One opportunity to teach and gain knowledge for the digitalization of manufacturing systems is the use of learning factories. Motivated by previously developed learning factories for digitalization in manufacturing, the research team of the production-planning lab of the University of Applied Sciences Emden/Leer decided to build its own learning factory. The paper provides an overview of the developed learning factory, physical and digital structure, requirements, challenges, and learning benefits to build a learning factory with the aid of student projects. The paper concludes with a summary and ideas for future work.
{"title":"Concept, Challenges, and Learning Benefits Developing an Industry 4.0 Learning Factory with Student Projects","authors":"Maximilian Zarte, Jeffrey Wermann, Philippe Heeren, Agnes Pechmann","doi":"10.1109/INDIN41052.2019.8972065","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972065","url":null,"abstract":"A wide range of skills, knowledge, and competencies are required and expected from students to solve current problems for digitalization. One opportunity to teach and gain knowledge for the digitalization of manufacturing systems is the use of learning factories. Motivated by previously developed learning factories for digitalization in manufacturing, the research team of the production-planning lab of the University of Applied Sciences Emden/Leer decided to build its own learning factory. The paper provides an overview of the developed learning factory, physical and digital structure, requirements, challenges, and learning benefits to build a learning factory with the aid of student projects. The paper concludes with a summary and ideas for future work.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"21 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":"124490493","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/INDIN41052.2019.8972218
Subash Humagain, R. Sinha
Emergency service vehicles like ambulance, fire, police etc. should respond to emergencies on time. Existing barriers like increased congestion, multiple signalized intersections, queued vehicles, traffic phase timing etc. can prevent emergency vehicles (EVs) achieving desired response times. Existing solutions to route EVs have not been successful because they do not use dynamic traffic parameters. Real time information on increased congestion, halts on road, pedestrian flow, queued vehicles, real and adaptive speed, can be used to properly actuate pre-emption and minimise the impact that EV movement can have on other traffic.Smart cities provide the necessary infrastructure to enable two critical factors in EV routing: real-time traffic data and connectivity. In addition, using autonomous vehicles (AVs) in place of normal emergency service vehicles can have further advantages in terms of safety and adaptability in smart city environments. AVs feature several sensors and connectivity that can help them make real-time decisions. We propose a novel idea of using autonomous emergency vehicles (AEVs) that can meet the critical response time and drive through a complex road network in smart cities efficiently and safely. This is achieved by considering traffic network analogous to real-time systems (RTS) where we use mixed-criticality real-time system (MCRTS) task scheduling to schedule AEVs for meeting response time.
{"title":"Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model","authors":"Subash Humagain, R. Sinha","doi":"10.1109/INDIN41052.2019.8972218","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972218","url":null,"abstract":"Emergency service vehicles like ambulance, fire, police etc. should respond to emergencies on time. Existing barriers like increased congestion, multiple signalized intersections, queued vehicles, traffic phase timing etc. can prevent emergency vehicles (EVs) achieving desired response times. Existing solutions to route EVs have not been successful because they do not use dynamic traffic parameters. Real time information on increased congestion, halts on road, pedestrian flow, queued vehicles, real and adaptive speed, can be used to properly actuate pre-emption and minimise the impact that EV movement can have on other traffic.Smart cities provide the necessary infrastructure to enable two critical factors in EV routing: real-time traffic data and connectivity. In addition, using autonomous vehicles (AVs) in place of normal emergency service vehicles can have further advantages in terms of safety and adaptability in smart city environments. AVs feature several sensors and connectivity that can help them make real-time decisions. We propose a novel idea of using autonomous emergency vehicles (AEVs) that can meet the critical response time and drive through a complex road network in smart cities efficiently and safely. This is achieved by considering traffic network analogous to real-time systems (RTS) where we use mixed-criticality real-time system (MCRTS) task scheduling to schedule AEVs for meeting response time.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"83 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":"124336047","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/INDIN41052.2019.8972064
Ha-Nui Jo, Byeong Eon Park, Yumi Ji, Dong-Kuk Kim, Jeong Eun Yang, In-Beum Lee, Jeong Byeol Hong
Multivariate statistical process monitoring (MSPM) have been applied to process monitoring for industrial processes. The conventional method for a statistical monitoring model is principal component analysis (PCA). However, this is not sufficient to extract meaningful information in non-Gaussian data, which is the property of the process data in many industrial processes. Alternatively, the modified independent component analysis (MICA) method can be used to give meaningful information up to higher order statistics, which improves some drawbacks of independent component analysis (ICA) method. In this paper, we propose a protocol to monitor a chatter phenomenon in a hot strip mill process (HSMP) based on modified independent component analysis (MICA). First, we develop the chatter index (CI) that represent the degree of a chatter numerically. The statistical monitoring model for a chatter detection is constructed by using the chatter-free data, which is classified by CI. From the chatter monitoring model, a chatter detection rate of 86.7% is achieved.
{"title":"Chatter Detection in Hot Strip Mill Process based on Modified Independent Component Analysis","authors":"Ha-Nui Jo, Byeong Eon Park, Yumi Ji, Dong-Kuk Kim, Jeong Eun Yang, In-Beum Lee, Jeong Byeol Hong","doi":"10.1109/INDIN41052.2019.8972064","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972064","url":null,"abstract":"Multivariate statistical process monitoring (MSPM) have been applied to process monitoring for industrial processes. The conventional method for a statistical monitoring model is principal component analysis (PCA). However, this is not sufficient to extract meaningful information in non-Gaussian data, which is the property of the process data in many industrial processes. Alternatively, the modified independent component analysis (MICA) method can be used to give meaningful information up to higher order statistics, which improves some drawbacks of independent component analysis (ICA) method. In this paper, we propose a protocol to monitor a chatter phenomenon in a hot strip mill process (HSMP) based on modified independent component analysis (MICA). First, we develop the chatter index (CI) that represent the degree of a chatter numerically. The statistical monitoring model for a chatter detection is constructed by using the chatter-free data, which is classified by CI. From the chatter monitoring model, a chatter detection rate of 86.7% is achieved.","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":"134062678","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/INDIN41052.2019.8972294
Hongjie Fang, R. Obermaisser
In the railway domain, the development trend is evolving from federated to integrated architectures, which promise massive cost reduction through higher functional integration of Train Control and Monitoring Systems (TCMS). An integrated architecture means that components are integrated on a computing node, which formerly were allocated to separate computing nodes. Therefore, the execution environment needs to support communication between these components on a computing node. Based on an integrated architecture, a virtual switch supporting time-space isolation and dynamic configuration has been proposed in previous work to address the mixed criticality of TCMS applications and dynamic coupling of vehicles. However, controlled information import and export between different data flows is not addressed in the state of the art.In this paper, we propose a virtual gateway residing in the TCMS execution environment to resolve property mismatches between different data flows and prevent fault propagation between applications of different safety critical levels. We capture the properties of data flows in the gateway specification and realise the gateway services by leveraging a database in the gateway. The experimental results show the isolation and the controlled information transportation between data flows.
{"title":"Virtual Gateway in TCMS Execution Environment based on an Integrated Architecture","authors":"Hongjie Fang, R. Obermaisser","doi":"10.1109/INDIN41052.2019.8972294","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972294","url":null,"abstract":"In the railway domain, the development trend is evolving from federated to integrated architectures, which promise massive cost reduction through higher functional integration of Train Control and Monitoring Systems (TCMS). An integrated architecture means that components are integrated on a computing node, which formerly were allocated to separate computing nodes. Therefore, the execution environment needs to support communication between these components on a computing node. Based on an integrated architecture, a virtual switch supporting time-space isolation and dynamic configuration has been proposed in previous work to address the mixed criticality of TCMS applications and dynamic coupling of vehicles. However, controlled information import and export between different data flows is not addressed in the state of the art.In this paper, we propose a virtual gateway residing in the TCMS execution environment to resolve property mismatches between different data flows and prevent fault propagation between applications of different safety critical levels. We capture the properties of data flows in the gateway specification and realise the gateway services by leveraging a database in the gateway. The experimental results show the isolation and the controlled information transportation between data flows.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"140 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":"133885990","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：