Pub Date : 2017-05-01DOI: 10.1109/ICOSC.2017.7958675
M. Boutoubat, L. Mokrani, A. Zegaoui
The main goal of this article is the control of a Wind Energy Conversion System (WECS), equipped by a Doubly Fed Induction Generator (DFIG), for maximum active power generation and power quality enhancement, in terms of reactive power compensation. The control strategy is applied to the DFIG whose rotor is connected to the grid through two converters (the RSC and the GSC). In fact, the main goal of the Rotor Side Converter (RSC) control is to accomplish simultaneously the capture of the optimum power from the wind and to ensure a unity power factor at the stator side. While, the aim of the Grid Side Converter (GSC) control is to ensure simultaneously a sleek DC bus voltage between the two converters and to compensate the reactive power of a lagging linear load coupled at the Point of Common Coupling (PCC) and achieve a unity power factor at the grid side. The presented simulation results show the Success of the different control strategies applied to the WECS.
{"title":"Power quality improvement by controlling the Grid Side Converter of a wind system based on a DFIG","authors":"M. Boutoubat, L. Mokrani, A. Zegaoui","doi":"10.1109/ICOSC.2017.7958675","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958675","url":null,"abstract":"The main goal of this article is the control of a Wind Energy Conversion System (WECS), equipped by a Doubly Fed Induction Generator (DFIG), for maximum active power generation and power quality enhancement, in terms of reactive power compensation. The control strategy is applied to the DFIG whose rotor is connected to the grid through two converters (the RSC and the GSC). In fact, the main goal of the Rotor Side Converter (RSC) control is to accomplish simultaneously the capture of the optimum power from the wind and to ensure a unity power factor at the stator side. While, the aim of the Grid Side Converter (GSC) control is to ensure simultaneously a sleek DC bus voltage between the two converters and to compensate the reactive power of a lagging linear load coupled at the Point of Common Coupling (PCC) and achieve a unity power factor at the grid side. The presented simulation results show the Success of the different control strategies applied to the WECS.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124567705","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958638
Z. Dahmane, A. Malek, Mustapha Bouhali, M. Bounabi, Karim Kaced, Mohamed Salah Ait-cheikh
A battery test that predicts the electrical performance with high accuracy is vital for circuit design. The purpose is to control its runtime and insure safety in battery-based electrical system such as Electric Vehicles (EVs). The nonlinear behavior of batteries depends on many internal and external factors such as temperature, chemistry, load current profile, age, etc. Modeling the behaviors of the battery can be achieved using various approaches. The more accurate battery model is the more predictable results. In this paper, we proposed current profile to extract and characterize the battery's parameters, the methodology used to develop the current pulse profile is simple, clearly explained and can be adapted or implemented to various types of battery's cells. Results show that this current pulse characterization can be employed to foresee the battery's resistance and open-circuit voltage by considering the environmental temperatures effect. In total, this intelligible current pulse profile can be used for predicting the battery's parameters with high accuracy, especially for variable current load profile which is the most reliable case for vehicular applications.
{"title":"A proposed pulses current method to extract the batteries parameters","authors":"Z. Dahmane, A. Malek, Mustapha Bouhali, M. Bounabi, Karim Kaced, Mohamed Salah Ait-cheikh","doi":"10.1109/ICOSC.2017.7958638","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958638","url":null,"abstract":"A battery test that predicts the electrical performance with high accuracy is vital for circuit design. The purpose is to control its runtime and insure safety in battery-based electrical system such as Electric Vehicles (EVs). The nonlinear behavior of batteries depends on many internal and external factors such as temperature, chemistry, load current profile, age, etc. Modeling the behaviors of the battery can be achieved using various approaches. The more accurate battery model is the more predictable results. In this paper, we proposed current profile to extract and characterize the battery's parameters, the methodology used to develop the current pulse profile is simple, clearly explained and can be adapted or implemented to various types of battery's cells. Results show that this current pulse characterization can be employed to foresee the battery's resistance and open-circuit voltage by considering the environmental temperatures effect. In total, this intelligible current pulse profile can be used for predicting the battery's parameters with high accuracy, especially for variable current load profile which is the most reliable case for vehicular applications.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409147","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958733
Thafsouth Aguercif, Lyes Tighzert, B. Mendil, C. Fonlupt
In this paper, we propose a new variant of fish school search algorithm, called rate learning-based fish school search algorithm (RL-FSSA), that uses a new refinement strategy to guide the population of fishes towards the best solutions. The fish motion is based on a collective sensorimotor behavior. Their learning ability determines the fish with the best position (i.e., leader). In each cycle, the best fish ever found is refined by a rate learning based process. This refinement allows a local search and decreases the effect of the hazard through time, and the whole algorithm goes from diversification towards intensification. In order to evaluate its performance, the proposed algorithm is tested under a set of benchmark functions. The numerical tests include unimodal and multimodal functions. The results show the high performance of RL-FSSA compared to the standard version FSSA. Furthermore, the computational time of the fish school search algorithm is reduced. For the validation, the algorithm is used for the trajectory planning and control of a mobile robot in an environment containing obstacles.
{"title":"Rate learning-based fish school search algorithm for global optimization","authors":"Thafsouth Aguercif, Lyes Tighzert, B. Mendil, C. Fonlupt","doi":"10.1109/ICOSC.2017.7958733","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958733","url":null,"abstract":"In this paper, we propose a new variant of fish school search algorithm, called rate learning-based fish school search algorithm (RL-FSSA), that uses a new refinement strategy to guide the population of fishes towards the best solutions. The fish motion is based on a collective sensorimotor behavior. Their learning ability determines the fish with the best position (i.e., leader). In each cycle, the best fish ever found is refined by a rate learning based process. This refinement allows a local search and decreases the effect of the hazard through time, and the whole algorithm goes from diversification towards intensification. In order to evaluate its performance, the proposed algorithm is tested under a set of benchmark functions. The numerical tests include unimodal and multimodal functions. The results show the high performance of RL-FSSA compared to the standard version FSSA. Furthermore, the computational time of the fish school search algorithm is reduced. For the validation, the algorithm is used for the trajectory planning and control of a mobile robot in an environment containing obstacles.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124250932","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958669
Boudjana Said, T. Mohamed, Fathi H. A. Mohamed
This paper presents a characterization study of the bifurcation dynamics in the multicell inverter. Firstly, the instantaneous model of two-cell multicell series inverter is studied. Then, this inverter is controlled using a discrete time digital regulator that generates the switching signals of the inverter. To highlight the chaos dynamic behavior, a discrete time nonlinear model is established based on Poincaré map, and bifurcation diagram is proposed. This diagram can be used to predict certain instability phenomena as well as operating points and limitations supported by the system. Some simulation results are performed.
{"title":"Characterization of bifurcation dynamics in multicell inverter","authors":"Boudjana Said, T. Mohamed, Fathi H. A. Mohamed","doi":"10.1109/ICOSC.2017.7958669","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958669","url":null,"abstract":"This paper presents a characterization study of the bifurcation dynamics in the multicell inverter. Firstly, the instantaneous model of two-cell multicell series inverter is studied. Then, this inverter is controlled using a discrete time digital regulator that generates the switching signals of the inverter. To highlight the chaos dynamic behavior, a discrete time nonlinear model is established based on Poincaré map, and bifurcation diagram is proposed. This diagram can be used to predict certain instability phenomena as well as operating points and limitations supported by the system. Some simulation results are performed.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132151211","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958703
Belkacem Khaldi, F. Harrou, Ying Sun, Cherif Foudil
Swarm robotics requires continuous monitoring to detect abnormal events and to sustain normal operations. Indeed, swarm robotics with one or more faulty robots leads to degradation of performances complying with the target requirements. This paper present an innovative data-driven fault detection method for monitoring robots swarm. The method combines the flexibility of principal component analysis (PCA) models and the greater sensitivity of the exponentially-weighted moving average control chart to incipient changes. We illustrate through simulated data collected from the ARGoS simulator that a significant improvement in fault detection can be obtained by using the proposed methods as compared to the use of the conventional PCA-based methods.
{"title":"A measurement-based fault detection approach applied to monitor robots swarm","authors":"Belkacem Khaldi, F. Harrou, Ying Sun, Cherif Foudil","doi":"10.1109/ICOSC.2017.7958703","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958703","url":null,"abstract":"Swarm robotics requires continuous monitoring to detect abnormal events and to sustain normal operations. Indeed, swarm robotics with one or more faulty robots leads to degradation of performances complying with the target requirements. This paper present an innovative data-driven fault detection method for monitoring robots swarm. The method combines the flexibility of principal component analysis (PCA) models and the greater sensitivity of the exponentially-weighted moving average control chart to incipient changes. We illustrate through simulated data collected from the ARGoS simulator that a significant improvement in fault detection can be obtained by using the proposed methods as compared to the use of the conventional PCA-based methods.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124441118","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958665
A. Benzaouia, Kenza Telbissi
In this paper, a Fault Tolerant Control (FTC) strategy for uncertain switched systems that can be used in the case of additive actuator faults is proposed. Sufficient conditions of building an observer are obtained by using multiple Lyapunov function. These conditions are worked out in a simple way, using cone complementarity technique, to obtain new LMIs with slack variables and multiple weighted residual matrices. The obtained results are applied on a numerical example showing fault detection, localization of fault and reconfiguration of the control to maintain asymptotic stability even in presence of a permanent actuator fault.
{"title":"Fault Tolerant Control for uncertain switching discrete-time systems with actuator failures","authors":"A. Benzaouia, Kenza Telbissi","doi":"10.1109/ICOSC.2017.7958665","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958665","url":null,"abstract":"In this paper, a Fault Tolerant Control (FTC) strategy for uncertain switched systems that can be used in the case of additive actuator faults is proposed. Sufficient conditions of building an observer are obtained by using multiple Lyapunov function. These conditions are worked out in a simple way, using cone complementarity technique, to obtain new LMIs with slack variables and multiple weighted residual matrices. The obtained results are applied on a numerical example showing fault detection, localization of fault and reconfiguration of the control to maintain asymptotic stability even in presence of a permanent actuator fault.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124523298","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958707
W. Belaoura, K. Ghanem, H. Bousbia-Salah
Massive Multiple-Input Multiple-Output (MIMO) is an emerging technology for the future 5G wireless communication systems and has been expected to dramatically improve the performance over the years. The main aim of this paper is to investigate the ergodic capacity of the downlink massive Multi-User (MU-MIMO) system under spatially correlated Rayleigh fading channels using two correlative models, namely the Kronecker and the Weichselberger models. To the best of our literary search, the impact of spatial correlation on the downlink ergodic capacity using the Kronecker and Weichselberger channel models was not previously investigated, more particularly with large scale antennas. Our results are valid for scenarios with a number of transmitting antennas which is greater than the number of users, in the presence of arbitrary correlation among them. It is demonstrated that the capacity loss is almost negligible even with a correlation coefficient between the transmitting antenna elements as large as 0.6.
{"title":"Effect of spatial correlation on the ergodic capacity for downlink massive MU-MIMO systems","authors":"W. Belaoura, K. Ghanem, H. Bousbia-Salah","doi":"10.1109/ICOSC.2017.7958707","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958707","url":null,"abstract":"Massive Multiple-Input Multiple-Output (MIMO) is an emerging technology for the future 5G wireless communication systems and has been expected to dramatically improve the performance over the years. The main aim of this paper is to investigate the ergodic capacity of the downlink massive Multi-User (MU-MIMO) system under spatially correlated Rayleigh fading channels using two correlative models, namely the Kronecker and the Weichselberger models. To the best of our literary search, the impact of spatial correlation on the downlink ergodic capacity using the Kronecker and Weichselberger channel models was not previously investigated, more particularly with large scale antennas. Our results are valid for scenarios with a number of transmitting antennas which is greater than the number of users, in the presence of arbitrary correlation among them. It is demonstrated that the capacity loss is almost negligible even with a correlation coefficient between the transmitting antenna elements as large as 0.6.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124586339","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958639
Chennai Salim
This paper present the performances of five-level (NPC) shunt active power filter based on fuzzy control approaches which can mitigate current harmonics generated by nonlinear loads. Five-level inverter is strongly used in the medium and high voltage applications; these advantages are low harmonic distortions, low switching losses, low electromagnetic interference, low voltage stress of power semiconductors and low acoustic noise. On the other hand fuzzy logic has been widely used in various industrial applications. To benefit from these advantages a novel control scheme based on fuzzy logic is proposed. The reference current signals required to compensate harmonic currents use the synchronous current detection method. Proportional integral voltage controller is used to maintain the dc voltage across capacitor constant and reduce inverter losses. The simulation is performed using Matlab-Simulink and SimPowerSystem toolbox. The results obtained under various operating conditions show the effectiveness of the proposed shunt APF system.
{"title":"Five-level (NPC) shunt active power filter performances evaluation using fuzzy control scheme for harmonic currents compensation","authors":"Chennai Salim","doi":"10.1109/ICOSC.2017.7958639","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958639","url":null,"abstract":"This paper present the performances of five-level (NPC) shunt active power filter based on fuzzy control approaches which can mitigate current harmonics generated by nonlinear loads. Five-level inverter is strongly used in the medium and high voltage applications; these advantages are low harmonic distortions, low switching losses, low electromagnetic interference, low voltage stress of power semiconductors and low acoustic noise. On the other hand fuzzy logic has been widely used in various industrial applications. To benefit from these advantages a novel control scheme based on fuzzy logic is proposed. The reference current signals required to compensate harmonic currents use the synchronous current detection method. Proportional integral voltage controller is used to maintain the dc voltage across capacitor constant and reduce inverter losses. The simulation is performed using Matlab-Simulink and SimPowerSystem toolbox. The results obtained under various operating conditions show the effectiveness of the proposed shunt APF system.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117144662","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958645
A. Lakehal, Fouad Tachi, H. Cheghib
Nowadays, dissolved gas analysis (DGA) technology of strategic electrical power transformers is universally practiced. The proposed approach is based on mapping the triangle of Duval into Bayesian network (BN). This approach eliminates the uncertainty that exists in the decision making regarding the nature of the faults due to gases that are trapped in the transformer, and faults that results in more gas percentages simultaneously. The model accurately provides transformer fault diagnosis and prediction abilities by calculating the probabilities of released gases and further predicting the failures based on their relationships in the Bayesian network. A case study is presented at the end of the paper to show the feasibility of the method on a 15.5 / 6.6 kV 20 MVA step-down transformer.
{"title":"A new contribution for fault prediction of electrical power transformers","authors":"A. Lakehal, Fouad Tachi, H. Cheghib","doi":"10.1109/ICOSC.2017.7958645","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958645","url":null,"abstract":"Nowadays, dissolved gas analysis (DGA) technology of strategic electrical power transformers is universally practiced. The proposed approach is based on mapping the triangle of Duval into Bayesian network (BN). This approach eliminates the uncertainty that exists in the decision making regarding the nature of the faults due to gases that are trapped in the transformer, and faults that results in more gas percentages simultaneously. The model accurately provides transformer fault diagnosis and prediction abilities by calculating the probabilities of released gases and further predicting the failures based on their relationships in the Bayesian network. A case study is presented at the end of the paper to show the feasibility of the method on a 15.5 / 6.6 kV 20 MVA step-down transformer.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117342931","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 : 2017-05-01DOI: 10.1109/ICOSC.2017.7958697
S. Bouamama, C. Blum
This paper proposes a modified iterated greedy algorithm for solving an NP-hard knapsack problem known as the knapsack problem with setup. In contrast to the classical 0–1 knapsack problem, items belong to different classes, and choosing at least one item from a specific class causes a class setup capacity to be consumed and a reduction of the total profit in terms of a penalty that has to be paid. The performance of our technique was compared with those of both a sophisticated, tree-search based, heuristic from the literature and the application of CPLEX to the respective ILP model. Experimental results show that the proposed technique outperforms the heuristic from the literature and yields better performance than CPLEX for medium and large size problem instances.
{"title":"On solving large-scale instances of the knapsack problem with setup by means of an iterated greedy algorithm","authors":"S. Bouamama, C. Blum","doi":"10.1109/ICOSC.2017.7958697","DOIUrl":"https://doi.org/10.1109/ICOSC.2017.7958697","url":null,"abstract":"This paper proposes a modified iterated greedy algorithm for solving an NP-hard knapsack problem known as the knapsack problem with setup. In contrast to the classical 0–1 knapsack problem, items belong to different classes, and choosing at least one item from a specific class causes a class setup capacity to be consumed and a reduction of the total profit in terms of a penalty that has to be paid. The performance of our technique was compared with those of both a sophisticated, tree-search based, heuristic from the literature and the application of CPLEX to the respective ILP model. Experimental results show that the proposed technique outperforms the heuristic from the literature and yields better performance than CPLEX for medium and large size problem instances.","PeriodicalId":113395,"journal":{"name":"2017 6th International Conference on Systems and Control (ICSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123506872","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：