Pub Date : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9803943
Fethi Messaoudi, Fethi Farhani, A. Zaafouri
As PV energy is clean and renewable, more and more PVG is connected to the grid. In this paper, PV grid connected is presented in a two-stage configuration. The first stage is a DC bus. It is composed by a BOOST converter with its MPPT control. This control is based on Perturb and observe method. This method is used under three scenarios, conventional method, optimized method by two PI controllers and modified method. The second stage is the AC bus. It is composed of a VSI inverter and LCL filter with its control, where there are three loops are figured such as outer current, voltage and inner current. The reactive power compensation and THD compensation are considered in order to improve energy flow between PVG and the three phase grid. Parameters PI controller are optimized by an easy analytical method. The theoretical study is tested and verified by simulation under MATLAB.Simulink.
{"title":"Improved control of PV-Grid connected via a two-stage configuration transformerless: Invited Paper","authors":"Fethi Messaoudi, Fethi Farhani, A. Zaafouri","doi":"10.1109/CoDIT55151.2022.9803943","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803943","url":null,"abstract":"As PV energy is clean and renewable, more and more PVG is connected to the grid. In this paper, PV grid connected is presented in a two-stage configuration. The first stage is a DC bus. It is composed by a BOOST converter with its MPPT control. This control is based on Perturb and observe method. This method is used under three scenarios, conventional method, optimized method by two PI controllers and modified method. The second stage is the AC bus. It is composed of a VSI inverter and LCL filter with its control, where there are three loops are figured such as outer current, voltage and inner current. The reactive power compensation and THD compensation are considered in order to improve energy flow between PVG and the three phase grid. Parameters PI controller are optimized by an easy analytical method. The theoretical study is tested and verified by simulation under MATLAB.Simulink.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124222843","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9803939
Cheng-Yi Lin, M. A. A. Rahman, P. Maropoulos
Automatic inspection system refers to the use of various inspection instruments to measure, indicate or record the main process parameters of the production process system. In the Fourth Industrial Revolution (Industry 4.0) era, competition among enterprises has become increasingly fierce. Most enterprises use automated testing to replace traditional manual testing to improve production efficiency and product quality. This paper investigates the current inspection process in the manufacturing industry. It proposes and designs an automated inspection system for sandwich filling coverage and thickness for sandwich production to replace the original manual inspection. After simulation and comparison of the improved production line, it was finally verified that the modified production line could improve the yield and quality of sandwiches and can help manufacturers save human resources.
{"title":"Enhancing the quality inspection process in the food manufacturing industry through automation","authors":"Cheng-Yi Lin, M. A. A. Rahman, P. Maropoulos","doi":"10.1109/CoDIT55151.2022.9803939","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803939","url":null,"abstract":"Automatic inspection system refers to the use of various inspection instruments to measure, indicate or record the main process parameters of the production process system. In the Fourth Industrial Revolution (Industry 4.0) era, competition among enterprises has become increasingly fierce. Most enterprises use automated testing to replace traditional manual testing to improve production efficiency and product quality. This paper investigates the current inspection process in the manufacturing industry. It proposes and designs an automated inspection system for sandwich filling coverage and thickness for sandwich production to replace the original manual inspection. After simulation and comparison of the improved production line, it was finally verified that the modified production line could improve the yield and quality of sandwiches and can help manufacturers save human resources.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121951682","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804059
Luis Francisco López-Castro, E. L. Solano-Charris
Pollution and global warming are current issues of concern, and their mitigation is a challenging problem. Trans-portation and the livestock industry are large generators of Greenhouse Gases (GHG), and therefore environmental criteria must be considered in the decision-making. This paper, part of an ongoing research on the design of milk and dairy supply chains with environmental considerations, proposes a mixed integer programming model for the milk collection problem with heterogeneous fleet with CO2minimization criterion. Validation of the model was made using the Gurobi solver over 15 randomly generated instances, optimally solved, and compared to a distance minimization model. The results show the prevalent use of the largest and most polluting vehicles, in particular, to cover routes with a greater number of farms far from the factory. Also, results suggest that the distance of routes can increase by up to 70% if emissions are optimized, and emissions can increase by up to 20% if distances are minimized. Finally, future research work is proposed.
{"title":"Environmental optimization model for a milk collection problem with heterogeneous fleet","authors":"Luis Francisco López-Castro, E. L. Solano-Charris","doi":"10.1109/CoDIT55151.2022.9804059","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804059","url":null,"abstract":"Pollution and global warming are current issues of concern, and their mitigation is a challenging problem. Trans-portation and the livestock industry are large generators of Greenhouse Gases (GHG), and therefore environmental criteria must be considered in the decision-making. This paper, part of an ongoing research on the design of milk and dairy supply chains with environmental considerations, proposes a mixed integer programming model for the milk collection problem with heterogeneous fleet with CO2minimization criterion. Validation of the model was made using the Gurobi solver over 15 randomly generated instances, optimally solved, and compared to a distance minimization model. The results show the prevalent use of the largest and most polluting vehicles, in particular, to cover routes with a greater number of farms far from the factory. Also, results suggest that the distance of routes can increase by up to 70% if emissions are optimized, and emissions can increase by up to 20% if distances are minimized. Finally, future research work is proposed.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624421","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804109
Š. Ileš, M. Švec, P. Makarun, Josip Kir Hromatko
In this paper, stabilizing predictive direct yaw moment control with active steering is proposed. The prediction model used in the model predictive control algorithm is a linear time-varying (LTV) bicycle model that depends on the velocity. To ensure stability and recursive feasibility regardless of the velocity change, the LTV model is transformed into a polytopic linear parameter-varying (LPV) model using the tensor product model transformation. This model is used to offline solve the robust LQR problem and form the terminal set and terminal cost for the online optimization problem. Furthermore, the same model is used to compute a robust N -step controllable set to the terminal set. In the online optimization problem, the states of the system are constrained in this set to guarantee recursive feasibility. The proposed control algorithm is tested in simulation and experimentally on a laboratory-scale car.
{"title":"Predictive direct yaw moment control with active steering based on polytopic linear parameter-varying model","authors":"Š. Ileš, M. Švec, P. Makarun, Josip Kir Hromatko","doi":"10.1109/CoDIT55151.2022.9804109","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804109","url":null,"abstract":"In this paper, stabilizing predictive direct yaw moment control with active steering is proposed. The prediction model used in the model predictive control algorithm is a linear time-varying (LTV) bicycle model that depends on the velocity. To ensure stability and recursive feasibility regardless of the velocity change, the LTV model is transformed into a polytopic linear parameter-varying (LPV) model using the tensor product model transformation. This model is used to offline solve the robust LQR problem and form the terminal set and terminal cost for the online optimization problem. Furthermore, the same model is used to compute a robust N -step controllable set to the terminal set. In the online optimization problem, the states of the system are constrained in this set to guarantee recursive feasibility. The proposed control algorithm is tested in simulation and experimentally on a laboratory-scale car.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132183246","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804104
Andrés Felipe Dorado Dorado, Karl Daher, E. Mugellini, D. Lalanne, Omar Abou Khaled
In a world where technological advancements are progressing at a vertiginous pace, social networks, online games, virtual worlds, streaming services, and remote work are part of everyday life. This is the case for the work environment, with the use of technological tools and home offices. In contrast, harmful aspects have been amplified, such as stress that affects occupational health. Lately, considerable interest has been gained in the affective domain in improving the occupational situation using empathic responses. In this work, we study the effect of machine empathic responses such as blue light, relaxing music, and the combination of light and music on people performing stressful tasks in an occupational environment. Thirty five participants tested different stimuli, eleven tested the music condition, twelve the light effect, and another twelve the combination of light and music. The monitoring of the heart rate variability along with psychological measures show that empathic responses can help reduce humans stress levels.
{"title":"The Effect of Music and Light-Color as a Machine Empathic Response on Stress in Occupational Health","authors":"Andrés Felipe Dorado Dorado, Karl Daher, E. Mugellini, D. Lalanne, Omar Abou Khaled","doi":"10.1109/CoDIT55151.2022.9804104","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804104","url":null,"abstract":"In a world where technological advancements are progressing at a vertiginous pace, social networks, online games, virtual worlds, streaming services, and remote work are part of everyday life. This is the case for the work environment, with the use of technological tools and home offices. In contrast, harmful aspects have been amplified, such as stress that affects occupational health. Lately, considerable interest has been gained in the affective domain in improving the occupational situation using empathic responses. In this work, we study the effect of machine empathic responses such as blue light, relaxing music, and the combination of light and music on people performing stressful tasks in an occupational environment. Thirty five participants tested different stimuli, eleven tested the music condition, twelve the light effect, and another twelve the combination of light and music. The monitoring of the heart rate variability along with psychological measures show that empathic responses can help reduce humans stress levels.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634192","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804028
Ameni Kadri, Hajer Marzougui, F. Bacha
An energy management method for a hybrid power system based on optimal control is developed in this paper. The hybrid system is a set of a photovoltaic panel as the main energy source, a fuel cell and a storage system based on a supercapacitor power bank. The fuel cell has a weak point from the point of view of slow dynamics since the power slope is limited to avoid problems of lack of fuel cell. The very fast power response of a supercapacitor complements the slow power output of the fuel cell to produce the necessary compatibility and performance characteristics in a DC load. Each source is connected to a DC/DC converter. Optimal control has been processed to ensure power sharing between sources and load. In this article, the detailed description of the hybrid system, the modeling of the DC/DC converters and the optimal control are provided. Finally, numerical simulations under Matlab/Simulink are presented in order to validate the efficiency of the energy management algorithm.
{"title":"Optimal Control based Energy Management Strategy of Photovoltaic/Fuel Cell/Supercapacitor Hybrid Power System","authors":"Ameni Kadri, Hajer Marzougui, F. Bacha","doi":"10.1109/CoDIT55151.2022.9804028","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804028","url":null,"abstract":"An energy management method for a hybrid power system based on optimal control is developed in this paper. The hybrid system is a set of a photovoltaic panel as the main energy source, a fuel cell and a storage system based on a supercapacitor power bank. The fuel cell has a weak point from the point of view of slow dynamics since the power slope is limited to avoid problems of lack of fuel cell. The very fast power response of a supercapacitor complements the slow power output of the fuel cell to produce the necessary compatibility and performance characteristics in a DC load. Each source is connected to a DC/DC converter. Optimal control has been processed to ensure power sharing between sources and load. In this article, the detailed description of the hybrid system, the modeling of the DC/DC converters and the optimal control are provided. Finally, numerical simulations under Matlab/Simulink are presented in order to validate the efficiency of the energy management algorithm.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127241301","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9803957
D. Mathe, I. Batalha
This paper aims to analyze the uplink of 5G Standalone under the scenarios of signal degradation due to the propagation loss. The analysis is performed experimentally through laboratory tests, in which different modulation, e.g., QPSK, 16QAM, 64QAM and 256QAM are exploited. In addition to attesting the sensitivity of high-order modulations to the pathloss effects, the results of this paper allow estimation of the 5G uplink range for each type of modulation. Finally, the results also show that the difference in using QPSK and 256QAM, in terms of signal range, may reach 300 meters.
{"title":"Performance Analysis of 5G Uplink on N78 Band over Propagation Pathloss","authors":"D. Mathe, I. Batalha","doi":"10.1109/CoDIT55151.2022.9803957","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9803957","url":null,"abstract":"This paper aims to analyze the uplink of 5G Standalone under the scenarios of signal degradation due to the propagation loss. The analysis is performed experimentally through laboratory tests, in which different modulation, e.g., QPSK, 16QAM, 64QAM and 256QAM are exploited. In addition to attesting the sensitivity of high-order modulations to the pathloss effects, the results of this paper allow estimation of the 5G uplink range for each type of modulation. Finally, the results also show that the difference in using QPSK and 256QAM, in terms of signal range, may reach 300 meters.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409628","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804062
J. Alfonso, J. M. Rodríguez, C. Bernad, Viktar Beliautsou, V. Ivanov, J. A. Castellanos
The present paper shows the capabilities of a distributed real-time co-simulation environment merging simulation models and testing facilities for developing and verifying electric vehicles. This environment has been developed in the framework of the XILforEV project and the presented case is focused on a ride control with a real suspension installed on a test bench in Spain, which uses real-time information from a complete vehicle model in Germany. Given the long distance between both sites, it has been necessary to develop a specific delay compensation algorithm. This algorithm is general enough to be used in other real-time co-simulation frameworks. In the present work, the system architecture including the communication compensation is described and successfully experimentally validated.
{"title":"Geographically distributed real-time co-simulation of electric vehicle","authors":"J. Alfonso, J. M. Rodríguez, C. Bernad, Viktar Beliautsou, V. Ivanov, J. A. Castellanos","doi":"10.1109/CoDIT55151.2022.9804062","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804062","url":null,"abstract":"The present paper shows the capabilities of a distributed real-time co-simulation environment merging simulation models and testing facilities for developing and verifying electric vehicles. This environment has been developed in the framework of the XILforEV project and the presented case is focused on a ride control with a real suspension installed on a test bench in Spain, which uses real-time information from a complete vehicle model in Germany. Given the long distance between both sites, it has been necessary to develop a specific delay compensation algorithm. This algorithm is general enough to be used in other real-time co-simulation frameworks. In the present work, the system architecture including the communication compensation is described and successfully experimentally validated.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114620061","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804098
Ali Mestrah, M. Pouliquen, E. Pigeon, Hicham Oualla
This paper presents a subspace identification al-gorithm in the case of binary measurements on the output. The algorithm is a three-step algorithm. It requires the input signal to be periodic and the knowledge of the noise distribution. An analysis is provided and introduces to the well behavior of the algorithm. Numerical simulations confirm the analysis and good performance of the proposed algorithm.
{"title":"Subspace Identification from Binary Output Measurements","authors":"Ali Mestrah, M. Pouliquen, E. Pigeon, Hicham Oualla","doi":"10.1109/CoDIT55151.2022.9804098","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804098","url":null,"abstract":"This paper presents a subspace identification al-gorithm in the case of binary measurements on the output. The algorithm is a three-step algorithm. It requires the input signal to be periodic and the knowledge of the noise distribution. An analysis is provided and introduces to the well behavior of the algorithm. Numerical simulations confirm the analysis and good performance of the proposed algorithm.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116822763","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 : 2022-05-17DOI: 10.1109/CoDIT55151.2022.9804067
R. A. D. Mezafack, Z. Simeu-Abazi, M. Mascolo
This paper addresses the scheduling maintenance operations for a set of geographically dispersed production equipment. We consider various equipment subject to uncertain failures that need to be monitored and repaired by a central maintenance workshop (CMW). We focus on the associated preventive maintenance actions, which require optimal scheduling. A mobile maintenance workshop (MMW) aims to transport all the resources to systematically replace the equipment with spare parts provided by the CMW following the predefined schedule. We propose a general framework and a model to minimize the maintenance and routing costs while optimizing equipment reliability. The novelty of the proposed model is the reduction of computation time through the proposition of heuristic methods while considering capacity constraints and various types of equipment. We perform several instances of problems in the oil and gas field. The studied approach optimizes the location of the CMW and the capacity of the MMW, solving the NP-Hard Problem.
{"title":"Distributed Maintenance: Design, Scheduling and Capacitated Routing Problem*","authors":"R. A. D. Mezafack, Z. Simeu-Abazi, M. Mascolo","doi":"10.1109/CoDIT55151.2022.9804067","DOIUrl":"https://doi.org/10.1109/CoDIT55151.2022.9804067","url":null,"abstract":"This paper addresses the scheduling maintenance operations for a set of geographically dispersed production equipment. We consider various equipment subject to uncertain failures that need to be monitored and repaired by a central maintenance workshop (CMW). We focus on the associated preventive maintenance actions, which require optimal scheduling. A mobile maintenance workshop (MMW) aims to transport all the resources to systematically replace the equipment with spare parts provided by the CMW following the predefined schedule. We propose a general framework and a model to minimize the maintenance and routing costs while optimizing equipment reliability. The novelty of the proposed model is the reduction of computation time through the proposition of heuristic methods while considering capacity constraints and various types of equipment. We perform several instances of problems in the oil and gas field. The studied approach optimizes the location of the CMW and the capacity of the MMW, solving the NP-Hard Problem.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070848","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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