Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648485
Agustina Suárez, R. Molina, G. Ramponi, R. Petrino, L. Bollati, Daniel Sequeiros
The aim for organic farming is obtaining food of the highest quality, avoiding synthetic chemicals, protecting the environment and preserving the fertility of the land. In this context, effective pest control allows to reduce yield loss and pesticides application producing pollution-free vegetables. In fruit crops, Carpocapsa is the main pest present in pear, apple, walnut and quince trees. This insect produces irreversible damage to the fruit, since the larvae feed the seeds inside the fruit. In this paper, we present automatic pest detection and classification in the context of fruit crops based on image processing and Deep Neural Networks, employing an image collection obtained from in-field traps. Due to the limited size of the data set, we perform data augmentation to increase the number of images for training, to prevent over-fitting and to improve the deep neural network learning rate. Results showed an overall accuracy of 94.8%, while precision and recall scores for the class related with the moth were around 97.2% and 93.6% respectively, demonstrating the efficacy of this type of classifier proposed for pest detection. An inference time of 40 ms per image for the deep neural network classifier has been reached.
{"title":"Pest detection and classification to reduce pesticide use in fruit crops based on deep neural networks and image processing","authors":"Agustina Suárez, R. Molina, G. Ramponi, R. Petrino, L. Bollati, Daniel Sequeiros","doi":"10.1109/RPIC53795.2021.9648485","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648485","url":null,"abstract":"The aim for organic farming is obtaining food of the highest quality, avoiding synthetic chemicals, protecting the environment and preserving the fertility of the land. In this context, effective pest control allows to reduce yield loss and pesticides application producing pollution-free vegetables. In fruit crops, Carpocapsa is the main pest present in pear, apple, walnut and quince trees. This insect produces irreversible damage to the fruit, since the larvae feed the seeds inside the fruit. In this paper, we present automatic pest detection and classification in the context of fruit crops based on image processing and Deep Neural Networks, employing an image collection obtained from in-field traps. Due to the limited size of the data set, we perform data augmentation to increase the number of images for training, to prevent over-fitting and to improve the deep neural network learning rate. Results showed an overall accuracy of 94.8%, while precision and recall scores for the class related with the moth were around 97.2% and 93.6% respectively, demonstrating the efficacy of this type of classifier proposed for pest detection. An inference time of 40 ms per image for the deep neural network classifier has been reached.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966775","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648481
R. Rodrigo, D. Patiño, G. Schweickardt
In this work, a neural model is proposed, which solves two limitations of artificial neural networks. The first refers to the ability to extrapolate outside the domain of the training data. The second arises when only a small sample is available for training. On the other hand, there is a need to characterize a complex system, and the dynamics of its components is partially known. The proposed model is based on the construction of a regressor from a feasible space, using Homotopy Analysis. In this way, a functional neural network is obtained.
{"title":"Neuronal Homotopy Regressors","authors":"R. Rodrigo, D. Patiño, G. Schweickardt","doi":"10.1109/RPIC53795.2021.9648481","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648481","url":null,"abstract":"In this work, a neural model is proposed, which solves two limitations of artificial neural networks. The first refers to the ability to extrapolate outside the domain of the training data. The second arises when only a small sample is available for training. On the other hand, there is a need to characterize a complex system, and the dynamics of its components is partially known. The proposed model is based on the construction of a regressor from a feasible space, using Homotopy Analysis. In this way, a functional neural network is obtained.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908845","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648438
Arntzen Matias Andrés, C. José, Oliveira Orlando, Mazzoletti M. Armando
In order to improve the compatibility of high voltage transmission lines with the environment, it is necessary to consider the effects originated by the visual impact, the corona effect that causes radio interference and audible noise, noise and low frequency electromagnetic fields, among others. The objective of this work is to study, model and verify that transmission lines comply with the current Argentinian standards that set the limits of low frequency electromagnetic fields exposure, in order to reduce environmental impact and ensure the safety of people, animals and/or facilities. FEMM software will be used to carry out the proposed verification. This software is able to perform 2D modeling and simulation of electromagnetic and electrostatic circuits using finite elements method. Several case studies are considered, where simulations are proposed under different load conditions with nominal voltage of 132 kV according to typical tower construction arrangements in Argentina. The results obtained will be evaluated according to the current Argentinian Standards.
{"title":"Simulation of Low Frequency Electromagnetic Fields in 132kV Overhead Transmission Lines Using 2D Finite Element Analysis","authors":"Arntzen Matias Andrés, C. José, Oliveira Orlando, Mazzoletti M. Armando","doi":"10.1109/RPIC53795.2021.9648438","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648438","url":null,"abstract":"In order to improve the compatibility of high voltage transmission lines with the environment, it is necessary to consider the effects originated by the visual impact, the corona effect that causes radio interference and audible noise, noise and low frequency electromagnetic fields, among others. The objective of this work is to study, model and verify that transmission lines comply with the current Argentinian standards that set the limits of low frequency electromagnetic fields exposure, in order to reduce environmental impact and ensure the safety of people, animals and/or facilities. FEMM software will be used to carry out the proposed verification. This software is able to perform 2D modeling and simulation of electromagnetic and electrostatic circuits using finite elements method. Several case studies are considered, where simulations are proposed under different load conditions with nominal voltage of 132 kV according to typical tower construction arrangements in Argentina. The results obtained will be evaluated according to the current Argentinian Standards.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128569838","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648468
Juan I. Medved, H. Rodriguez, Martín A. De Luca, Nahuel Grimaudo, L. Cymberknop, R. Armentano
The COVID-19 pandemic has spread rapidly around the world forcing people to isolate at home and collapsing hospitals causing millions of deaths. The continuous and efficient monitoring of those who showed symptoms jointly with the analysis of the environment conditions to avoid the spread of the virus gave rise to the development of different technological alternatives. In the present work, a comprehensive device with multi-parameter sensing has been designed, emphasizing the integration of physiological and environmental parameters with remote monitoring, of the interest in the current pandemic context.
{"title":"CheckING: An IoT Device for COVID-19 Monitoring and Prevention","authors":"Juan I. Medved, H. Rodriguez, Martín A. De Luca, Nahuel Grimaudo, L. Cymberknop, R. Armentano","doi":"10.1109/RPIC53795.2021.9648468","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648468","url":null,"abstract":"The COVID-19 pandemic has spread rapidly around the world forcing people to isolate at home and collapsing hospitals causing millions of deaths. The continuous and efficient monitoring of those who showed symptoms jointly with the analysis of the environment conditions to avoid the spread of the virus gave rise to the development of different technological alternatives. In the present work, a comprehensive device with multi-parameter sensing has been designed, emphasizing the integration of physiological and environmental parameters with remote monitoring, of the interest in the current pandemic context.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127985619","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648496
Demián García-Violini, Mahdiyeh Farajvand, C. Windt, Valerio Grazioso, J. Ringwood
Recent developments in wave energy converter (WEC) control include robust control strategies, which admit a level of uncertainty in the model description. Then, for the application of such control methods, some knowledge of the uncertainty bounds is initially required. As recently shown in the literature, some approaches for uncertainty quantification can lead to scenarios where, due to uncertainty quantification, the passivity of the WEC model is not guaranteed and, consequently, the optimisation required to capture most of the available energy cannot be successfully performed. Such approaches can generate significant performance losses. Thus, in this study, a passivisation methodology to extend the applicability of spectral control approaches is presented. The benefit of the presented approach, relative to previous results, is shown with an application case.
{"title":"Passivity considerations in robust spectral-based controllers for wave energy converters","authors":"Demián García-Violini, Mahdiyeh Farajvand, C. Windt, Valerio Grazioso, J. Ringwood","doi":"10.1109/RPIC53795.2021.9648496","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648496","url":null,"abstract":"Recent developments in wave energy converter (WEC) control include robust control strategies, which admit a level of uncertainty in the model description. Then, for the application of such control methods, some knowledge of the uncertainty bounds is initially required. As recently shown in the literature, some approaches for uncertainty quantification can lead to scenarios where, due to uncertainty quantification, the passivity of the WEC model is not guaranteed and, consequently, the optimisation required to capture most of the available energy cannot be successfully performed. Such approaches can generate significant performance losses. Thus, in this study, a passivisation methodology to extend the applicability of spectral control approaches is presented. The benefit of the presented approach, relative to previous results, is shown with an application case.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740252","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648521
Rodrigo G. Alarcón, Martín A. Alarcón, A. González, A. Ferramosca
In this paper, a continuous and discrete-time dynamical model of a commercial lithium-ion battery is proposed. It is modelled through an electrical equivalent circuit, applying the method of parameter extraction in the time domain to determine its values. As parameters vary according to the state of charge of the battery, a procedure for parametric identification based on the least-squares method is presented, using the Simulink® Design Optimization™.
{"title":"State-space modelling of a commercial lithium-ion battery","authors":"Rodrigo G. Alarcón, Martín A. Alarcón, A. González, A. Ferramosca","doi":"10.1109/RPIC53795.2021.9648521","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648521","url":null,"abstract":"In this paper, a continuous and discrete-time dynamical model of a commercial lithium-ion battery is proposed. It is modelled through an electrical equivalent circuit, applying the method of parameter extraction in the time domain to determine its values. As parameters vary according to the state of charge of the battery, a procedure for parametric identification based on the least-squares method is presented, using the Simulink® Design Optimization™.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133338519","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648512
Maria Cecilia Fernández Montefiore, Gustavo J. González, F. J. López-Martínez, F. Gregorio
In this paper, we compare the performance of the downlink of multi-user NOMA and OMA systems for the applications of the next generation of mobile communications with imperfect interference cancellation. The case we consider involves services with heterogeneous latency demands in a finite blocklength scenario. The effective capacity is used to assess the system’s performance, because it reflects the effect of estimation errors and time delay requirements. We calculate the achievable effective rates by numerical integration using the ordered statistics distributions for Rayleigh fading channels, and verify these results through Monte Carlo simulations. The performance of NOMA is evaluated considering different estimation errors and in terms of homogeneous and heterogeneous latency requirements.
{"title":"Effective Rate of Multiuser NOMA Systems with Imperfect SIC for Beyond 5G Applications","authors":"Maria Cecilia Fernández Montefiore, Gustavo J. González, F. J. López-Martínez, F. Gregorio","doi":"10.1109/RPIC53795.2021.9648512","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648512","url":null,"abstract":"In this paper, we compare the performance of the downlink of multi-user NOMA and OMA systems for the applications of the next generation of mobile communications with imperfect interference cancellation. The case we consider involves services with heterogeneous latency demands in a finite blocklength scenario. The effective capacity is used to assess the system’s performance, because it reflects the effect of estimation errors and time delay requirements. We calculate the achievable effective rates by numerical integration using the ordered statistics distributions for Rayleigh fading channels, and verify these results through Monte Carlo simulations. The performance of NOMA is evaluated considering different estimation errors and in terms of homogeneous and heterogeneous latency requirements.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131315132","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648497
A. Lapi, F. Chierchie, G. F. Moroni
The Skipper CCD allows pixel measurements with sub-electron noise levels. The gain of the CCD, that relates the number of electrons to the number of analog to digital units (ADU) is almost linear but with some degree of nonlinearity. This article uses the charge quantization allowed by the Skipper CCD to estimate the gain with different strategies. Linear and quadratic models are analyzed and differential and integral nonlinearity (DNL and INL) metrics are computed. Experimental results in a range of charge between 0 and 700 electrons shows that the linear model achieves an INL of 0.8 e−, while the second order model reaches an INL of 0.09 e−.
{"title":"Gain calibration and nonlinearity analysis in single photon sensitivity Skipper CCD","authors":"A. Lapi, F. Chierchie, G. F. Moroni","doi":"10.1109/RPIC53795.2021.9648497","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648497","url":null,"abstract":"The Skipper CCD allows pixel measurements with sub-electron noise levels. The gain of the CCD, that relates the number of electrons to the number of analog to digital units (ADU) is almost linear but with some degree of nonlinearity. This article uses the charge quantization allowed by the Skipper CCD to estimate the gain with different strategies. Linear and quadratic models are analyzed and differential and integral nonlinearity (DNL and INL) metrics are computed. Experimental results in a range of charge between 0 and 700 electrons shows that the linear model achieves an INL of 0.8 e−, while the second order model reaches an INL of 0.09 e−.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122333807","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648504
Corina. E. Aimo, Ignacio Schmidhalter, P. Aguirre
The influence of design parameters at cell level on performance at battery pack level is analyzed, in order to find the main causes of cell voltage unbalances and the consequent loss of battery pack capacity. The study parameters are electrode thicknesses, electrode porosities and electrolyte salt concentration. Three battery packs are defined with a 20 percent range variation in the values of the named design parameters. The configuration of the analyzed pack consists of six lithium cells, consisting of graphite anode and manganese oxide cathode, connected in series. For this analysis, a mathematical model with physical and phenomenological basis is applied in an optimization environment. The proposed optimization framework consists of maximizing the pack capacity by operating in simple steady-state charge-discharge cycles. The limiting cells are easily identified from the active bounds in key variables defined by the model. The most influential design parameter at the pack level, for the considered cell chemistry, turns out to be electrode porosity, since the pack with cells of different values of this parameter presents a capacity reduction of up to 15 percent when is compared to the pack of uniform cell designs.
{"title":"Parametric study of limiting cell design variables in a lithium battery pack","authors":"Corina. E. Aimo, Ignacio Schmidhalter, P. Aguirre","doi":"10.1109/RPIC53795.2021.9648504","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648504","url":null,"abstract":"The influence of design parameters at cell level on performance at battery pack level is analyzed, in order to find the main causes of cell voltage unbalances and the consequent loss of battery pack capacity. The study parameters are electrode thicknesses, electrode porosities and electrolyte salt concentration. Three battery packs are defined with a 20 percent range variation in the values of the named design parameters. The configuration of the analyzed pack consists of six lithium cells, consisting of graphite anode and manganese oxide cathode, connected in series. For this analysis, a mathematical model with physical and phenomenological basis is applied in an optimization environment. The proposed optimization framework consists of maximizing the pack capacity by operating in simple steady-state charge-discharge cycles. The limiting cells are easily identified from the active bounds in key variables defined by the model. The most influential design parameter at the pack level, for the considered cell chemistry, turns out to be electrode porosity, since the pack with cells of different values of this parameter presents a capacity reduction of up to 15 percent when is compared to the pack of uniform cell designs.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114663835","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 : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648511
Montoya A. Sara, Medina M. Urbano A., Tejada O. Juan C, Hoyos P. Elizabeth, Montoya G. Yesid, Alvarez Z. Hernán D.
The Friction Stir Welding (FSW) process is relatively new compared to traditional welding methods. Although it does not bring the material to its melting point, it does generate a sufficient amount of heat flow that influences the quality of the weld and the process efficiency. Several researchers have sought ways of knowing the heat dissipated by friction and the temperatures that are generated, some of them through simulations with high computational cost and in a non-predictive way or by direct measurements through the instrumentation of the tool. This work proposes a phenomenological-based semi-physical model (PBSM) that estimates the temperature distribution in an Aluminum AA5052 alloy workpiece using the FSW process. The model is compared with real-time in situ measurements. The results showed that the model has a good agreement with real data allowing its use in a previous published whole model of the FSW process. The cited complete model is control-oriented, able to use in any model-based control structure.
{"title":"Proposal and experimental verification of a temperature distribution model for the FSW process","authors":"Montoya A. Sara, Medina M. Urbano A., Tejada O. Juan C, Hoyos P. Elizabeth, Montoya G. Yesid, Alvarez Z. Hernán D.","doi":"10.1109/RPIC53795.2021.9648511","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648511","url":null,"abstract":"The Friction Stir Welding (FSW) process is relatively new compared to traditional welding methods. Although it does not bring the material to its melting point, it does generate a sufficient amount of heat flow that influences the quality of the weld and the process efficiency. Several researchers have sought ways of knowing the heat dissipated by friction and the temperatures that are generated, some of them through simulations with high computational cost and in a non-predictive way or by direct measurements through the instrumentation of the tool. This work proposes a phenomenological-based semi-physical model (PBSM) that estimates the temperature distribution in an Aluminum AA5052 alloy workpiece using the FSW process. The model is compared with real-time in situ measurements. The results showed that the model has a good agreement with real data allowing its use in a previous published whole model of the FSW process. The cited complete model is control-oriented, able to use in any model-based control structure.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122170340","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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