Pub Date : 2021-11-08DOI: 10.1109/IAI53119.2021.9619372
Jicheng Chen, Hui Zhang
In this paper, a novel scenario-based stochastic model predictive control design for an electrohydraulic actuator (EHA) system is proposed. The nonlinearity in the EHA system is approximated by parametric model uncertainties, and then the nonlinear dynamics is transmitted into a stochastic linear parameter varying (LPV) model. Based on this LPV model, a scenario-based stochastic model predictive control problem is formulated, and the constraints on the state and control input are taken into account as well. The resulting scenario optimization problem can be solved online efficiently by an advanced quadratic programming solver. Finally, the performance improvement of the proposed control scheme is demonstrated by numerical examples.
{"title":"Scenario-based Stochastic Model Predictive Control Design for an Electrohydraulic Actuator System","authors":"Jicheng Chen, Hui Zhang","doi":"10.1109/IAI53119.2021.9619372","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619372","url":null,"abstract":"In this paper, a novel scenario-based stochastic model predictive control design for an electrohydraulic actuator (EHA) system is proposed. The nonlinearity in the EHA system is approximated by parametric model uncertainties, and then the nonlinear dynamics is transmitted into a stochastic linear parameter varying (LPV) model. Based on this LPV model, a scenario-based stochastic model predictive control problem is formulated, and the constraints on the state and control input are taken into account as well. The resulting scenario optimization problem can be solved online efficiently by an advanced quadratic programming solver. Finally, the performance improvement of the proposed control scheme is demonstrated by numerical examples.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125938388","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619386
Teng-Fei Ding, Ming‐Feng Ge, Zhiwei Liu
This technical note studies the preset-time bipartite tracking problem of networked Euler-Lagrange systems (NELSs) subject to parameter uncertainties on directed signed graphs. Based on some time-varying functions, a hierarchical control algorithm is presented to deal with above-mentioned problem, and the related sufficient conditions on control gains are derived. Simulation example on four intercommunication robotic manipulators is proposed to verify the result.
{"title":"Preset-Time Bipartite Tracking Control of Networked Euler-Lagrange Systems","authors":"Teng-Fei Ding, Ming‐Feng Ge, Zhiwei Liu","doi":"10.1109/IAI53119.2021.9619386","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619386","url":null,"abstract":"This technical note studies the preset-time bipartite tracking problem of networked Euler-Lagrange systems (NELSs) subject to parameter uncertainties on directed signed graphs. Based on some time-varying functions, a hierarchical control algorithm is presented to deal with above-mentioned problem, and the related sufficient conditions on control gains are derived. Simulation example on four intercommunication robotic manipulators is proposed to verify the result.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122775567","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619224
Yongkang Zhang, Zhi Qi, Hui Zhang
In the field of minimally invasive medical care, compared With rigid needles, the use of flexible needles allows doctors to avoid blood vessels and organs more flexibly during surgery. Due to the non-holonomic constraint of the flexible needle and the tissue deformation caused by the needle tip during the insertion, the accessibility and safety of the path need to be considered when planning. In this paper, we propose an adaptable algorithm based on RRT* algorithm to compute a path for flexible needle to reach the lesion in 3D environment. The improved RRT* (Rapidly-Exploring Random Trees*) algorithm based on the motion constraint of flexible needle makes the path smoother and shorter. The path cost used in the algorithm take the potential field of the obstacle into account to avoid the influence of the local movement of the tissue during the needle puncture process. Finally, the algorithm is conducted by simulations, and the results show that the improved RRT* algorithm can generate a smooth and safe path that conforms to the motion constraint of the flexible needle.
{"title":"An Improved RRT* Algorithm Combining Motion Constraint and Artificial Potential Field for Robot-Assisted Flexible Needle Insertion in 3D Environment","authors":"Yongkang Zhang, Zhi Qi, Hui Zhang","doi":"10.1109/IAI53119.2021.9619224","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619224","url":null,"abstract":"In the field of minimally invasive medical care, compared With rigid needles, the use of flexible needles allows doctors to avoid blood vessels and organs more flexibly during surgery. Due to the non-holonomic constraint of the flexible needle and the tissue deformation caused by the needle tip during the insertion, the accessibility and safety of the path need to be considered when planning. In this paper, we propose an adaptable algorithm based on RRT* algorithm to compute a path for flexible needle to reach the lesion in 3D environment. The improved RRT* (Rapidly-Exploring Random Trees*) algorithm based on the motion constraint of flexible needle makes the path smoother and shorter. The path cost used in the algorithm take the potential field of the obstacle into account to avoid the influence of the local movement of the tissue during the needle puncture process. Finally, the algorithm is conducted by simulations, and the results show that the improved RRT* algorithm can generate a smooth and safe path that conforms to the motion constraint of the flexible needle.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270529","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619322
Guanghua Guo, Q. Mu, Yunpeng Fan, Ruiqi Wang, Mingyuan Wang
The park’s integrated energy system accounts for a high proportion of energy consumption and large unit energy consumption. The study of integrated demand response technology can improve the comfort of the park and reduce the cost of energy consumption. Firstly, the model of integrated energy consumption system of the typical park in summer is constructed. Then, based on the detailed modeling of energy conversion of each piece of equipment in the park, the demand response characteristics are analyzed. The integrated demand response of the park is divided into the reducible electrical load, transferable electrical load, and adjustable cooling load, and the demand response modeling is given. With the goal of the optimal economy, the operation model of the park’s integrated energy system is established. Finally, the impact of the integrated demand response of the park’s different modes of participation on the economy and environmental protection is analyzed through a numerical example. The results show that the model can coordinate the operation of various energy systems in the park and reduce the operation cost of the system.
{"title":"Operation Optimization of Park Integrated Energy System Considering the Response of Electricity and Cooling Demand","authors":"Guanghua Guo, Q. Mu, Yunpeng Fan, Ruiqi Wang, Mingyuan Wang","doi":"10.1109/IAI53119.2021.9619322","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619322","url":null,"abstract":"The park’s integrated energy system accounts for a high proportion of energy consumption and large unit energy consumption. The study of integrated demand response technology can improve the comfort of the park and reduce the cost of energy consumption. Firstly, the model of integrated energy consumption system of the typical park in summer is constructed. Then, based on the detailed modeling of energy conversion of each piece of equipment in the park, the demand response characteristics are analyzed. The integrated demand response of the park is divided into the reducible electrical load, transferable electrical load, and adjustable cooling load, and the demand response modeling is given. With the goal of the optimal economy, the operation model of the park’s integrated energy system is established. Finally, the impact of the integrated demand response of the park’s different modes of participation on the economy and environmental protection is analyzed through a numerical example. The results show that the model can coordinate the operation of various energy systems in the park and reduce the operation cost of the system.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114546324","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619413
Tao Zhang, Dianzheng Fu, Yuanye Xu, Jingya Dong
In this paper, a density-based neighborhood search clustering method is proposed. A decision graph is obtained through density calculation, this method only needs to select density centers, and clustering results can be achieved automatically without irregular and frequent parameter adjustment. The algorithm is suitable for industrial big data clustering. It not only explains the clustering results vividly, but also increases or decreases the amount of clustering rapidly according to the need. Experimental results show that this method performs well on artificial data sets in contrast to the traditional methods and is successfully applied to a real oilfield engineering case.
{"title":"Remote sensing analysis of oilfield IoT based on density clustering","authors":"Tao Zhang, Dianzheng Fu, Yuanye Xu, Jingya Dong","doi":"10.1109/IAI53119.2021.9619413","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619413","url":null,"abstract":"In this paper, a density-based neighborhood search clustering method is proposed. A decision graph is obtained through density calculation, this method only needs to select density centers, and clustering results can be achieved automatically without irregular and frequent parameter adjustment. The algorithm is suitable for industrial big data clustering. It not only explains the clustering results vividly, but also increases or decreases the amount of clustering rapidly according to the need. Experimental results show that this method performs well on artificial data sets in contrast to the traditional methods and is successfully applied to a real oilfield engineering case.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124674433","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}
Early fire detection is very important for preventing forest fires. In this paper, a new image-based fire detection algorithm, named as h-EfflcientDet, is proposed to complete the task of early forest fire detection. h-EfflcientDet is based on a popular deep learning approach EfficientDet (scalable and efficient object detection) by replacing the nonlinear activation function swish of the EfficientDet with the hard version of swish and combing also with an efficient feature fusion network BIFPN (bidirectional feature pyramid network), which can improve significantly the efficiency of the fire detection model. The experiment results show that the proposed h-EfficientDet can detect the fire in real-time with the detection speed of 21 FPS. The detection accuracy is up to 98.35% with a low miss detection rate.
{"title":"Early Forest Fire Detection Based on Deep Learning","authors":"Mengna Li, Youmin Zhang, Lingxia Mu, Jing Xin, Ziquan Yu, Han Liu, Guo Xie","doi":"10.1109/IAI53119.2021.9619342","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619342","url":null,"abstract":"Early fire detection is very important for preventing forest fires. In this paper, a new image-based fire detection algorithm, named as h-EfflcientDet, is proposed to complete the task of early forest fire detection. h-EfflcientDet is based on a popular deep learning approach EfficientDet (scalable and efficient object detection) by replacing the nonlinear activation function swish of the EfficientDet with the hard version of swish and combing also with an efficient feature fusion network BIFPN (bidirectional feature pyramid network), which can improve significantly the efficiency of the fire detection model. The experiment results show that the proposed h-EfficientDet can detect the fire in real-time with the detection speed of 21 FPS. The detection accuracy is up to 98.35% with a low miss detection rate.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126920939","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619343
Naoto Wakiyama, M. Deng
In recent years, many robotic arms have been used in various industrial systems to reduce labor costs. In order to improve work efficiency, the weight of the robot arm has been reduced. However, this reduction increases the flexibility of the robot arm and the vibration of the arm. In order to achieve high-speed and high-precision motion, it is necessary to control the vibration of the arm. In this paper, a servo motor and a piezoelectric element are used as actuators to control the vibration of an L-shaped arm. A nonlinear control system for the L-shaped arm based on operator theory is designed, and the effectiveness of the proposed method is verified by simulation and experiments.
{"title":"Nonlinear Vibration Control of L-Shaped Arm by Using Servo Motor Actuator","authors":"Naoto Wakiyama, M. Deng","doi":"10.1109/IAI53119.2021.9619343","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619343","url":null,"abstract":"In recent years, many robotic arms have been used in various industrial systems to reduce labor costs. In order to improve work efficiency, the weight of the robot arm has been reduced. However, this reduction increases the flexibility of the robot arm and the vibration of the arm. In order to achieve high-speed and high-precision motion, it is necessary to control the vibration of the arm. In this paper, a servo motor and a piezoelectric element are used as actuators to control the vibration of an L-shaped arm. A nonlinear control system for the L-shaped arm based on operator theory is designed, and the effectiveness of the proposed method is verified by simulation and experiments.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128848040","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619382
Yuandong Chen, Jinliang Ding
Enterprise-wide optimization is a newly emerging area and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace. However, the current researches on refinery scheduling mainly focus on the studies of three sub-problems. In this paper, we present a comprehensive integrated optimization model that includes crude oil scheduling, production unit scheduling, batch gasoline blending, and diesel online blending. It involves two common oil blending methods(batch blending and online blending), and some detailed production characteristics, such as considering influences of different crude oil on the production mode of distillation columns and considering mode transition process of production units. Such a multi-stage chemical process contains various lengths of processing time at different stages. Traditional discrete-time scheduling modeling methods use the greatest common factor of these processing times as discrete-time interval length, which often leads to a huge model size. Based on discrimination of units’ states, we present a modeling approach that can increase the length of the discrete-time interval, so as the size of the model can be effectively reduced and no down-time on units, and the solution time can be decreased ten thousand times compared to the traditional model when achieves a similar objective. Finally, we show the detailed scheduling result and illustrate the effectiveness of the model through three cases.
{"title":"Discrete-time Scheduling Model of Entire Refinery with Multiscale Operation Time","authors":"Yuandong Chen, Jinliang Ding","doi":"10.1109/IAI53119.2021.9619382","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619382","url":null,"abstract":"Enterprise-wide optimization is a newly emerging area and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace. However, the current researches on refinery scheduling mainly focus on the studies of three sub-problems. In this paper, we present a comprehensive integrated optimization model that includes crude oil scheduling, production unit scheduling, batch gasoline blending, and diesel online blending. It involves two common oil blending methods(batch blending and online blending), and some detailed production characteristics, such as considering influences of different crude oil on the production mode of distillation columns and considering mode transition process of production units. Such a multi-stage chemical process contains various lengths of processing time at different stages. Traditional discrete-time scheduling modeling methods use the greatest common factor of these processing times as discrete-time interval length, which often leads to a huge model size. Based on discrimination of units’ states, we present a modeling approach that can increase the length of the discrete-time interval, so as the size of the model can be effectively reduced and no down-time on units, and the solution time can be decreased ten thousand times compared to the traditional model when achieves a similar objective. Finally, we show the detailed scheduling result and illustrate the effectiveness of the model through three cases.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115224509","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619214
Yunqiang Xiong, Dongmei Zhang, Chun Dong, Shuangxi Li, Hao Wu
In the waist-worn indoor Autonomous Navigation System based on Dead-Reckoning principle using low-cost MEMS (Micro-Electro Mechanical Systems) inertial sensors, heading gyro bias error with poor repeatability is one key factor, which significantly reduces positioning accuracy. For this problem, the paper designs a closed-loop walking track and the corresponding indoor corridors azimuth introduced online is used as the observed information by Kalman Filter for heading gyro bias online calibration. Thus, the positioning error caused by the large gyro bias repeatability error can be reduced. The effectiveness of this method is demonstrated by multi-groups of positioning experiments. In these experiments, their average total distance was 1270. 7m. For the experimental results, the uncalibrated positioning error rates ranged from 0.59% to 1.63% and the calibrated were from 0.25% to 0.65%. Experimental results indicate that the proposed method is effective to calibrate heading gyro bias for restraining heading drift and improving positioning accuracy.
{"title":"A Heading Gyro Bias Online Calibration Method for Autonomous Navigation System","authors":"Yunqiang Xiong, Dongmei Zhang, Chun Dong, Shuangxi Li, Hao Wu","doi":"10.1109/IAI53119.2021.9619214","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619214","url":null,"abstract":"In the waist-worn indoor Autonomous Navigation System based on Dead-Reckoning principle using low-cost MEMS (Micro-Electro Mechanical Systems) inertial sensors, heading gyro bias error with poor repeatability is one key factor, which significantly reduces positioning accuracy. For this problem, the paper designs a closed-loop walking track and the corresponding indoor corridors azimuth introduced online is used as the observed information by Kalman Filter for heading gyro bias online calibration. Thus, the positioning error caused by the large gyro bias repeatability error can be reduced. The effectiveness of this method is demonstrated by multi-groups of positioning experiments. In these experiments, their average total distance was 1270. 7m. For the experimental results, the uncalibrated positioning error rates ranged from 0.59% to 1.63% and the calibrated were from 0.25% to 0.65%. Experimental results indicate that the proposed method is effective to calibrate heading gyro bias for restraining heading drift and improving positioning accuracy.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115322520","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 : 2021-11-08DOI: 10.1109/IAI53119.2021.9619247
Weile Chen, He Wang, Haibo Du
The influence of sampled-data control on finite-time consensus algorithm of second-order multi-agent systems is studied in this paper. Firstly, a continuous-time finite-time consensus algorithm is reviewed. Then, by sampled-data control, the problem of digital implementation is considered in this paper. By using graph theory and homogeneous system theory, the explicit expression of sampling period to system consensus error is obtained after strict proof. Finally, the simulation results verify the effectiveness of the theory.
{"title":"Research on finite-time consensus algorithm for second-order multi-agent systems under sampled-data control","authors":"Weile Chen, He Wang, Haibo Du","doi":"10.1109/IAI53119.2021.9619247","DOIUrl":"https://doi.org/10.1109/IAI53119.2021.9619247","url":null,"abstract":"The influence of sampled-data control on finite-time consensus algorithm of second-order multi-agent systems is studied in this paper. Firstly, a continuous-time finite-time consensus algorithm is reviewed. Then, by sampled-data control, the problem of digital implementation is considered in this paper. By using graph theory and homogeneous system theory, the explicit expression of sampling period to system consensus error is obtained after strict proof. Finally, the simulation results verify the effectiveness of the theory.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422480","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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