Pub Date : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164381
Meng Guo, Songhang Chen, Yaozong Wang
Most of the management systems used in common enclosed spaces only have basic functions such as booking and payment, and do not have epidemic prevention and traceability functions. In the COVID-19 pandemic, enclosed scenes, without an epidemic prevention system, clearly increase the risk of cross-contamination of the population, making it a black box that will amplify the severity of the outbreak. In this paper, we develop an intelligent recommendation system designed to coordinate the operation of enclosed spaces and decentralize the new customers to a low-infection risk box. An adaptive genetic algorithm is proposed to achieve optimal allocation of personnel and boxes, which can avoid contact between customers during low peak hours and minimize cross-contact during peak hours. On the one hand, it guarantees the user experience, and on the other hand, it guarantees these enclosed spaces have a high decentralization of crowd density when an epidemic occurs. This greatly reduces the risk of exposure to infection and is of great significance in preventing the spread of the epidemic.
{"title":"A Recommendation System Based on Adaptive Genetic Algorithm for Enclosed Spaces","authors":"Meng Guo, Songhang Chen, Yaozong Wang","doi":"10.1109/ISAS59543.2023.10164381","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164381","url":null,"abstract":"Most of the management systems used in common enclosed spaces only have basic functions such as booking and payment, and do not have epidemic prevention and traceability functions. In the COVID-19 pandemic, enclosed scenes, without an epidemic prevention system, clearly increase the risk of cross-contamination of the population, making it a black box that will amplify the severity of the outbreak. In this paper, we develop an intelligent recommendation system designed to coordinate the operation of enclosed spaces and decentralize the new customers to a low-infection risk box. An adaptive genetic algorithm is proposed to achieve optimal allocation of personnel and boxes, which can avoid contact between customers during low peak hours and minimize cross-contact during peak hours. On the one hand, it guarantees the user experience, and on the other hand, it guarantees these enclosed spaces have a high decentralization of crowd density when an epidemic occurs. This greatly reduces the risk of exposure to infection and is of great significance in preventing the spread of the epidemic.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888925","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164500
Shaojun Chen, Yun‐Bo Zhao, Yang Wang, Junsen Lu
The prediction of human trust in machines within decision-aid systems is crucial for improving system performance. However, previous studies have only measured machine performance based on its decision history, failing to account for the machine’s current decision state. This delay in evaluating machine performance can result in biased trust predictions, making it challenging to enhance the overall performance of the human-machine system. To address this issue, this paper proposes incorporating machine estimated performance scores into a human-machine trust prediction model to improve trust prediction accuracy and system performance. We also provide an explanation for how this model can enhance system performance.To estimate the accuracy of the machine’s current decision, we employ the KNN(K-Nearest Neighbors) method and obtain a corresponding performance score. Next, we report the estimated score to humans through the human-machine interaction interface and obtain human trust via trust self-reporting. Finally, we fit the trust prediction model parameters using data and evaluate the model’s efficacy through simulation on a public dataset. Our ablation experiments show that the model reduces trust prediction bias by 3.6% and significantly enhances the overall accuracy of human-machine decision-making.
{"title":"A Human-Machine Trust Model Integrating Machine Estimated Performance","authors":"Shaojun Chen, Yun‐Bo Zhao, Yang Wang, Junsen Lu","doi":"10.1109/ISAS59543.2023.10164500","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164500","url":null,"abstract":"The prediction of human trust in machines within decision-aid systems is crucial for improving system performance. However, previous studies have only measured machine performance based on its decision history, failing to account for the machine’s current decision state. This delay in evaluating machine performance can result in biased trust predictions, making it challenging to enhance the overall performance of the human-machine system. To address this issue, this paper proposes incorporating machine estimated performance scores into a human-machine trust prediction model to improve trust prediction accuracy and system performance. We also provide an explanation for how this model can enhance system performance.To estimate the accuracy of the machine’s current decision, we employ the KNN(K-Nearest Neighbors) method and obtain a corresponding performance score. Next, we report the estimated score to humans through the human-machine interaction interface and obtain human trust via trust self-reporting. Finally, we fit the trust prediction model parameters using data and evaluate the model’s efficacy through simulation on a public dataset. Our ablation experiments show that the model reduces trust prediction bias by 3.6% and significantly enhances the overall accuracy of human-machine decision-making.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866495","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164401
Yixin Xu, Zhihao Wang
Existing gait recognition systems have achieved success by extracting robust gait features from silhouette images, but gait can be sensitive to appearance features such as clothing and carried items. As a more promising alternative, model-based gait recognition is robust against some variations, such as clothing and baggage carried. With the recent development of human pose estimation, the difficulty of implementing model-based methods has been mitigated. This paper introduces an end-to-end model-based gait recognition method designed for large-scale and uncontrolled datasets. The proposed method takes 3D data as input and utilizes the ST-GCN as the embedding module. We have replaced the simple nearest neighbor algorithm for better performance. Specifically, the 3D skeletons are embedded into the Graph Neural Network to represent similarities. The proposed method is evaluated on the GREW dataset, showing state-of-the-art (SOTA) results in model-based gait recognition.
{"title":"End-to-End Model-Based Gait Recognition with Matching Module Based on Graph Neural Networks","authors":"Yixin Xu, Zhihao Wang","doi":"10.1109/ISAS59543.2023.10164401","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164401","url":null,"abstract":"Existing gait recognition systems have achieved success by extracting robust gait features from silhouette images, but gait can be sensitive to appearance features such as clothing and carried items. As a more promising alternative, model-based gait recognition is robust against some variations, such as clothing and baggage carried. With the recent development of human pose estimation, the difficulty of implementing model-based methods has been mitigated. This paper introduces an end-to-end model-based gait recognition method designed for large-scale and uncontrolled datasets. The proposed method takes 3D data as input and utilizes the ST-GCN as the embedding module. We have replaced the simple nearest neighbor algorithm for better performance. Specifically, the 3D skeletons are embedded into the Graph Neural Network to represent similarities. The proposed method is evaluated on the GREW dataset, showing state-of-the-art (SOTA) results in model-based gait recognition.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114332377","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}
Rolling bearings are applied in most machinery, and their health status has an impact on the accuracy, stability, and reliability of mechanical equipment. The existing fault diagnosis methods are carried out damage experiments on physical equipment. However, the data acquisition is insufficient, the cost is high. A basic framework of bearing fault simulation modeling strategy is proposed. First, a three-dimensional mode is established according to the geometric size of the physical entity. Then, a virtual simulation model of equipment is constructed using the finite element analysis method. Finally, a virtual fault is injected into the virtual simulation model to generate fault characteristics through model simulation. In the case study, the generation method of bearing fault feature is established. The results show that the model is reliable in generating bearing fault characteristics.
{"title":"Digital twin based bearing fault simulation modeling strategy and display dynamics","authors":"Chunxu Zhao, Quanling Zhang, Cunsong Wang, Hao Peng","doi":"10.1109/ISAS59543.2023.10164348","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164348","url":null,"abstract":"Rolling bearings are applied in most machinery, and their health status has an impact on the accuracy, stability, and reliability of mechanical equipment. The existing fault diagnosis methods are carried out damage experiments on physical equipment. However, the data acquisition is insufficient, the cost is high. A basic framework of bearing fault simulation modeling strategy is proposed. First, a three-dimensional mode is established according to the geometric size of the physical entity. Then, a virtual simulation model of equipment is constructed using the finite element analysis method. Finally, a virtual fault is injected into the virtual simulation model to generate fault characteristics through model simulation. In the case study, the generation method of bearing fault feature is established. The results show that the model is reliable in generating bearing fault characteristics.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114302493","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164367
Hui Xu, Guozeng Cui
This paper explores a fixed-time adaptive distributed fault-tolerant cooperative control strategy for multiple quadrotors subject to actuator faults. The explosion of complexity phenomenon is removed in a fixed time by the command filter. To surmount the filtering error influence, the fixed-time error compensation signals are constructed. Furthermore, the singularity problem is subtly avoided via a smooth piecewise function. It is proved that all closed-loop signals are bounded in a fixed time and that the cooperative tracking errors fixed-time converge to the neighboring range of the origin. A simulation example reveals the validity of the developed fixed-time distributed fault-tolerant cooperative control algorithm.
{"title":"Fixed-Time Adaptive Distributed Fault-Tolerant Cooperative Control for Multiple Quad-rotors","authors":"Hui Xu, Guozeng Cui","doi":"10.1109/ISAS59543.2023.10164367","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164367","url":null,"abstract":"This paper explores a fixed-time adaptive distributed fault-tolerant cooperative control strategy for multiple quadrotors subject to actuator faults. The explosion of complexity phenomenon is removed in a fixed time by the command filter. To surmount the filtering error influence, the fixed-time error compensation signals are constructed. Furthermore, the singularity problem is subtly avoided via a smooth piecewise function. It is proved that all closed-loop signals are bounded in a fixed time and that the cooperative tracking errors fixed-time converge to the neighboring range of the origin. A simulation example reveals the validity of the developed fixed-time distributed fault-tolerant cooperative control algorithm.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114434276","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164439
De Bao, Shi-Yu Li, Yongjian Wang
Data-driven model has been widely used in process industry; the process data in complex process industry has timeliness, collinearity and correlation, which is difficult to explain. This paper optimizes the use of process data based on models and data, and explains its significance in the process. The combination of model and data not only guarantees the generality of analysis, but also promotes the real-time nature of data. The characteristics of the extracted data are used to explain the performance and working conditions in complex industries; adding the traditional mechanism model to the data analysis can speed up the training cost and generalization ability of the data. The data extraction and model verification prove the feasibility of the proposed method.
{"title":"Optimized utilization and interpretability of process data with data-driven model","authors":"De Bao, Shi-Yu Li, Yongjian Wang","doi":"10.1109/ISAS59543.2023.10164439","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164439","url":null,"abstract":"Data-driven model has been widely used in process industry; the process data in complex process industry has timeliness, collinearity and correlation, which is difficult to explain. This paper optimizes the use of process data based on models and data, and explains its significance in the process. The combination of model and data not only guarantees the generality of analysis, but also promotes the real-time nature of data. The characteristics of the extracted data are used to explain the performance and working conditions in complex industries; adding the traditional mechanism model to the data analysis can speed up the training cost and generalization ability of the data. The data extraction and model verification prove the feasibility of the proposed method.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123866462","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164445
Sun Xingjun
With the wide application of bus in aircraft airborne system, how to select bus efficiently is of great significance to improve the safety and reliability of flight control system. Under the background that there is no systematic method for bus selection of airborne flight control system in domestic and foreign public information, this paper proposes a systematic method for bus selection. Through the bus application of the typical aircraft type of the air-borne flight control system, the alternative bus of the airborne flight control system is preliminarily selected. For the airborne flight control system, military / civilian demand analysis, general demand analysis, special demand analysis and technical development demand analysis were carried out, and 34 demand indicators were obtained. The compliance analysis of the alternative bus is carried out according to 34 requirements indicators. If only one alter-native bus meets the above requirements, the alternative bus shall be used as the onboard flight control system bus. If there are multiple alternative buses meeting the above requirements, the choice shall be made through the analysis of the bus architecture of the flight control system.
{"title":"Research on systematic bus selection method of airborne flight control system","authors":"Sun Xingjun","doi":"10.1109/ISAS59543.2023.10164445","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164445","url":null,"abstract":"With the wide application of bus in aircraft airborne system, how to select bus efficiently is of great significance to improve the safety and reliability of flight control system. Under the background that there is no systematic method for bus selection of airborne flight control system in domestic and foreign public information, this paper proposes a systematic method for bus selection. Through the bus application of the typical aircraft type of the air-borne flight control system, the alternative bus of the airborne flight control system is preliminarily selected. For the airborne flight control system, military / civilian demand analysis, general demand analysis, special demand analysis and technical development demand analysis were carried out, and 34 demand indicators were obtained. The compliance analysis of the alternative bus is carried out according to 34 requirements indicators. If only one alter-native bus meets the above requirements, the alternative bus shall be used as the onboard flight control system bus. If there are multiple alternative buses meeting the above requirements, the choice shall be made through the analysis of the bus architecture of the flight control system.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074390","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164396
Shanhong Liu, Hai Jiang, Ya Zhang
Since its introduction more than a decade ago, the lane-based signal timing method has become a popular approach to optimizing signal timing plans because it treats lane markings as decision variables and does not require pre-defined signal phases. A major limitation is that this method assumes point queues at stop lines and uses non-linear delay formula. To address this challenge, This study integrates the cell transmission model (CTM) with lane-based signal timing. Variable speed limit (VSL) is additionally introduced to advance traffic control as follows: (1) Lane allocation, speed limit, and signal timing are simultaneously optimised; (2) The CTM is combined with the lane-based model to model spatial queues and lane blockage; and (3) A rolling horizon approach is proposed to optimise the VSL and signal settings based on real-time traffic volume. Numerical experiments are conducted to validate the proposed model.
{"title":"CTM-based traffic signal optimization with variable speed limit and dynamic lane allocation","authors":"Shanhong Liu, Hai Jiang, Ya Zhang","doi":"10.1109/ISAS59543.2023.10164396","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164396","url":null,"abstract":"Since its introduction more than a decade ago, the lane-based signal timing method has become a popular approach to optimizing signal timing plans because it treats lane markings as decision variables and does not require pre-defined signal phases. A major limitation is that this method assumes point queues at stop lines and uses non-linear delay formula. To address this challenge, This study integrates the cell transmission model (CTM) with lane-based signal timing. Variable speed limit (VSL) is additionally introduced to advance traffic control as follows: (1) Lane allocation, speed limit, and signal timing are simultaneously optimised; (2) The CTM is combined with the lane-based model to model spatial queues and lane blockage; and (3) A rolling horizon approach is proposed to optimise the VSL and signal settings based on real-time traffic volume. Numerical experiments are conducted to validate the proposed model.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115077463","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164422
Meiyin Luo, C. Song, Jiale Tan
The circular formation control problem of multiagent system affected by time delay is studied. Agents can be moved to anywhere in the plane. This work is dedicated to addressing that not only makes agents move to the desired circle but also keep up rotating around the target while distributing according to the pre-designed angular distance. Considering that the communication delays of systems can hardly be ignored, a distributed control law affected by time-varying delay is proposed. Eventually, this works makes the validation of effectiveness by using a numerical simulation example.
{"title":"Circle Formation Control of Multi-Agent Systems with Time-varying Communication Delay in a Plane","authors":"Meiyin Luo, C. Song, Jiale Tan","doi":"10.1109/ISAS59543.2023.10164422","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164422","url":null,"abstract":"The circular formation control problem of multiagent system affected by time delay is studied. Agents can be moved to anywhere in the plane. This work is dedicated to addressing that not only makes agents move to the desired circle but also keep up rotating around the target while distributing according to the pre-designed angular distance. Considering that the communication delays of systems can hardly be ignored, a distributed control law affected by time-varying delay is proposed. Eventually, this works makes the validation of effectiveness by using a numerical simulation example.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115189000","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 : 2023-06-23DOI: 10.1109/ISAS59543.2023.10164288
Xinyu Liu, Mingrui Hao, Yan Zhen, Yu Fan
This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity.
{"title":"Static Unstable STT Overload Control on High-order Fully Actuated System Theory","authors":"Xinyu Liu, Mingrui Hao, Yan Zhen, Yu Fan","doi":"10.1109/ISAS59543.2023.10164288","DOIUrl":"https://doi.org/10.1109/ISAS59543.2023.10164288","url":null,"abstract":"This article proposes a joint overload controller for pitch and yaw channels on the high-order fully actuated system theory for a nonlinear lateral and longitudinal static unstable STT aircraft model. Firstly, a second-order fully actuated system model for aircraft overload was derived, and an optimal control method for lateral and longitudinal overload was designed. Through mathematical simulation verification of this controller and traditional PID controller, it is shown that the PID control method has significant shortcomings in nonlinear aircraft with coupling. However, high-order fully actuated system theory control method can better adapt to nonlinear and static instability problems, achieve stable tracking of aircraft overload commands, and have better rapidity.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516626","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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