Pub Date : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765929
M. Belouda, Yassine Jouini, A. Mami
Among the great restrictions for off grid renewable electrical energy production systems to a sure electrification is the weather-data fluctuating nature. Therefore, helping these systems with additional storage systems to maintain a secure supply of consumers appears as a suitable solution, especially in remote isolated sites. The objective of this study is to extract optimal configuration of a hybrid off grid photovoltaic-diesel energy system with storage system based on the combination between inertial storage (flywheel) and electrochemical storage (batteries) for agricultural applications.
{"title":"Optimal configurations of a photovoltaic-diesel electrical production system with electrochemical and inertial storage for an isolated agricultural site electrification","authors":"M. Belouda, Yassine Jouini, A. Mami","doi":"10.1109/IC_ASET53395.2022.9765929","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765929","url":null,"abstract":"Among the great restrictions for off grid renewable electrical energy production systems to a sure electrification is the weather-data fluctuating nature. Therefore, helping these systems with additional storage systems to maintain a secure supply of consumers appears as a suitable solution, especially in remote isolated sites. The objective of this study is to extract optimal configuration of a hybrid off grid photovoltaic-diesel energy system with storage system based on the combination between inertial storage (flywheel) and electrochemical storage (batteries) for agricultural applications.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"11 1","pages":"73-78"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89487531","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765903
R. Ouederni, B. Bouaziz, F. Bacha
this paper shows a methodology for optimal sizing of island micro grids in Djerba, Tunisia containing photovoltaic panels, a wind turbine, and a tidal turbine. The battery storage system and a diesel generator are used as compensating energy sources. The process aims to find a configuration within a set of system components that meets the required system reliability requirements. The modeling of PV/wind/tidal micro grids is considered as the first step in the optimization of the selection process. This paper aims to study the sizing and optimization of the hybrid power system to supply the load of the studied location in Djerba Island, Tunisia. The objective functions are selected by minimizing the life cycle cost (LCC) and the embodied energy (EE) for a variable probability of loss of power supply (LPSP 0%). MATLAB software is used in all simulations and programming of the micro grid system. Real weather data and a load profile are used to design and evaluate the sizing and optimization results, during the year 2020 to determine the highest component size of a micro grid system.
{"title":"Design and evaluation of an island's hybrid renewable energy system in Tunisia","authors":"R. Ouederni, B. Bouaziz, F. Bacha","doi":"10.1109/IC_ASET53395.2022.9765903","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765903","url":null,"abstract":"this paper shows a methodology for optimal sizing of island micro grids in Djerba, Tunisia containing photovoltaic panels, a wind turbine, and a tidal turbine. The battery storage system and a diesel generator are used as compensating energy sources. The process aims to find a configuration within a set of system components that meets the required system reliability requirements. The modeling of PV/wind/tidal micro grids is considered as the first step in the optimization of the selection process. This paper aims to study the sizing and optimization of the hybrid power system to supply the load of the studied location in Djerba Island, Tunisia. The objective functions are selected by minimizing the life cycle cost (LCC) and the embodied energy (EE) for a variable probability of loss of power supply (LPSP 0%). MATLAB software is used in all simulations and programming of the micro grid system. Real weather data and a load profile are used to design and evaluate the sizing and optimization results, during the year 2020 to determine the highest component size of a micro grid system.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"10 1","pages":"418-423"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89586938","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765829
Ismail Gassoumi, L. Touil, A. Mtibaa
Quantum-dot cellular automata (QCA) offers significant area reduction due to nano-size, high operational speed with significantly low power levels. It is a wireless technology and does not use current or voltage to carry information. Instead, it utilizes the positioning of the electrons. In this paper, an optimal 1:2 demultiplexer based on QCA technology has been investigated. QCAPro software has been used to estimated the energy dissipation of the suggested design. Simulation is achieved for the suggested design using QCADesigner software. The proposed design has less number of cells, area and energy dissipation as compared to the previous structures.
{"title":"An efficient Design of 1:2 Demultiplexer Based on QCA technology","authors":"Ismail Gassoumi, L. Touil, A. Mtibaa","doi":"10.1109/IC_ASET53395.2022.9765829","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765829","url":null,"abstract":"Quantum-dot cellular automata (QCA) offers significant area reduction due to nano-size, high operational speed with significantly low power levels. It is a wireless technology and does not use current or voltage to carry information. Instead, it utilizes the positioning of the electrons. In this paper, an optimal 1:2 demultiplexer based on QCA technology has been investigated. QCAPro software has been used to estimated the energy dissipation of the suggested design. Simulation is achieved for the suggested design using QCADesigner software. The proposed design has less number of cells, area and energy dissipation as compared to the previous structures.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"44 1","pages":"39-43"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88436761","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765884
Jyotindra Narayan, Mohamed Abbas, Bhavik Patel, S. K. Dwivedy
The coupled human-exoskeleton design holds the problem of uncertain model parameters and disturbances, which vary for different age groups and related gait pathological levels. These uncertainties become more dominant in the case of pediatric subjects. Therefore, in this work, a robust singularity-free terminal sliding mode (SFTSM) control is proposed for an uncertain pediatric exoskeleton system in passive-assist mode. At first, the dynamic model is presented using Lagrangian principle. Thereafter, the non-singular sliding surface is considered to derive the required control law. The boundary layer approach is considered to avoid chattering behavior. The novelty of this work lies in the Lyapunov stability analysis with upper-bound criterion to ensure the finite-time convergence of the gait tracking error. Finally, it is observed from the simulation runs that the proposed SFTSM control outperforms different contrast control schemes for the passive-assist gait rehabilitation.
{"title":"A Singularity-Free Terminal Sliding Mode Control of an Uncertain Paediatric Exoskeleton System","authors":"Jyotindra Narayan, Mohamed Abbas, Bhavik Patel, S. K. Dwivedy","doi":"10.1109/IC_ASET53395.2022.9765884","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765884","url":null,"abstract":"The coupled human-exoskeleton design holds the problem of uncertain model parameters and disturbances, which vary for different age groups and related gait pathological levels. These uncertainties become more dominant in the case of pediatric subjects. Therefore, in this work, a robust singularity-free terminal sliding mode (SFTSM) control is proposed for an uncertain pediatric exoskeleton system in passive-assist mode. At first, the dynamic model is presented using Lagrangian principle. Thereafter, the non-singular sliding surface is considered to derive the required control law. The boundary layer approach is considered to avoid chattering behavior. The novelty of this work lies in the Lyapunov stability analysis with upper-bound criterion to ensure the finite-time convergence of the gait tracking error. Finally, it is observed from the simulation runs that the proposed SFTSM control outperforms different contrast control schemes for the passive-assist gait rehabilitation.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"85 2 1","pages":"198-203"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83342532","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765941
Sami Ben Brahim, M. Slimane
Natural gas peak demand forecasting is crucial for efficient network infrastructure spending and stock planning. Herein, long-term forecasting is studied, using data of the Tunisian Company of Electricity and Gas (STEG) as case study. Gas peak flow data preprocessing is elaborated as preliminary step. Ridge regressor, support vector regressor (SVR) and K-nearest neighbors (K-NN) are implemented to make long-term forecasting with different resolutions (daily, monthly). Based on the best performing base models, two types of ensemble models are implemented: simple average and weighted average. The study provides important results to decision-makers in order to optimize the energy policies.
{"title":"Long-term natural gas peak demand forecasting in Tunisia Using machine learning","authors":"Sami Ben Brahim, M. Slimane","doi":"10.1109/IC_ASET53395.2022.9765941","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765941","url":null,"abstract":"Natural gas peak demand forecasting is crucial for efficient network infrastructure spending and stock planning. Herein, long-term forecasting is studied, using data of the Tunisian Company of Electricity and Gas (STEG) as case study. Gas peak flow data preprocessing is elaborated as preliminary step. Ridge regressor, support vector regressor (SVR) and K-nearest neighbors (K-NN) are implemented to make long-term forecasting with different resolutions (daily, monthly). Based on the best performing base models, two types of ensemble models are implemented: simple average and weighted average. The study provides important results to decision-makers in order to optimize the energy policies.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"56 1","pages":"222-227"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84536987","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765871
Sami Briouza, H. Gritli, N. Khraief, S. Belghith, Dilbag Singh
To use surface electromyography (sEMG) signals for therapy and rehabilitation purposes, we first need to tackle a fundamental problem which is the pattern recognition of these signals. Recently, Machine Learning (ML) techniques have drawn a lot of attention from researchers working on sEMG pattern recognition, and the usage of these techniques showed a lot of potentials and proved to be a viable option. For this work, we adopt the random forest classifier, as an ML technique, for the classification of the sEMG signals for the rehabilitation of upper limbs. Furthermore, to be able to test its performance, we considered and tested different combinations of five different time-domain features, namely MAV, WL, ZC, SSC, and finally RMS. Thus, and via experimental results on the adopted dataset, we show how the choice of features influences the quality of classification.
{"title":"Classification of sEMG Biomedical Signals for Upper-Limb Rehabilitation Using the Random Forest Method","authors":"Sami Briouza, H. Gritli, N. Khraief, S. Belghith, Dilbag Singh","doi":"10.1109/IC_ASET53395.2022.9765871","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765871","url":null,"abstract":"To use surface electromyography (sEMG) signals for therapy and rehabilitation purposes, we first need to tackle a fundamental problem which is the pattern recognition of these signals. Recently, Machine Learning (ML) techniques have drawn a lot of attention from researchers working on sEMG pattern recognition, and the usage of these techniques showed a lot of potentials and proved to be a viable option. For this work, we adopt the random forest classifier, as an ML technique, for the classification of the sEMG signals for the rehabilitation of upper limbs. Furthermore, to be able to test its performance, we considered and tested different combinations of five different time-domain features, namely MAV, WL, ZC, SSC, and finally RMS. Thus, and via experimental results on the adopted dataset, we show how the choice of features influences the quality of classification.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"118 1","pages":"161-166"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87929392","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765922
Sahar Jenhani, H. Gritli, Giuseppe Carbone
One of the frequent tasks of a robotic system is to go from an initial position to another location or to change its actual configuration to some desired one. Thus, an efficient as well as simple control law should be applied to achieve such objective. Despite the presence of several control approaches of robotic systems, this work proposes mainly a design method of an affine state-feedback controller for the problem of position control and by considering the general form of the nonlinear dynamics. The adopted methodology is chiefly based on the development of a linear dynamic model defined around the desired position. Moreover, the linear matrix inequality technique is used to compute the feedback gains of the control law. An illustrative example and a comparison with the CTC controller are given at the end to show the validity and efficiency of the proposed design and control approach.
{"title":"Design of an Affine Control Law for the Position Control Problem of Robotic Systems Based on the Development of a Linear Dynamic Model","authors":"Sahar Jenhani, H. Gritli, Giuseppe Carbone","doi":"10.1109/IC_ASET53395.2022.9765922","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765922","url":null,"abstract":"One of the frequent tasks of a robotic system is to go from an initial position to another location or to change its actual configuration to some desired one. Thus, an efficient as well as simple control law should be applied to achieve such objective. Despite the presence of several control approaches of robotic systems, this work proposes mainly a design method of an affine state-feedback controller for the problem of position control and by considering the general form of the nonlinear dynamics. The adopted methodology is chiefly based on the development of a linear dynamic model defined around the desired position. Moreover, the linear matrix inequality technique is used to compute the feedback gains of the control law. An illustrative example and a comparison with the CTC controller are given at the end to show the validity and efficiency of the proposed design and control approach.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"27 1","pages":"403-411"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85069439","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765939
Ameni Jellali, H. Maatallah, K. Ouni
Almost all industrial wind turbine failures are caused by bearing degeneration. As a critical part of this functionality, precisely estimating the remaining usable life (RUL) of the bearings is necessary in order to ensure the reliability and availability of energy generation. This work investigates how to build a classification model in Python to estimate the RUL of a wind turbine main bearing. Making use of SCADA data Given by the Harvard Dataverse data set, we select only the four most physical characteristics from this data set to solve this challenge. Temperature, viscosity, dynamic load, and fatigue damage are all factors to consider. The suggested methods is based on a concept that was previously developed in the literature for prediction in other discipline. This paper also assesses which model is best for forecasting failure on the given data set. This assessment is carried out in order to determine that linear regression is the best method for producing a model capable of reducing variation and improving the metrics of our model with an accuracy level of 99 percent for daily prediction. This enables the development of a new sort of intelligent intention.
{"title":"Predicting Remaining Useful Life of Wind Turbine Bearing using Linear Regression","authors":"Ameni Jellali, H. Maatallah, K. Ouni","doi":"10.1109/IC_ASET53395.2022.9765939","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765939","url":null,"abstract":"Almost all industrial wind turbine failures are caused by bearing degeneration. As a critical part of this functionality, precisely estimating the remaining usable life (RUL) of the bearings is necessary in order to ensure the reliability and availability of energy generation. This work investigates how to build a classification model in Python to estimate the RUL of a wind turbine main bearing. Making use of SCADA data Given by the Harvard Dataverse data set, we select only the four most physical characteristics from this data set to solve this challenge. Temperature, viscosity, dynamic load, and fatigue damage are all factors to consider. The suggested methods is based on a concept that was previously developed in the literature for prediction in other discipline. This paper also assesses which model is best for forecasting failure on the given data set. This assessment is carried out in order to determine that linear regression is the best method for producing a model capable of reducing variation and improving the metrics of our model with an accuracy level of 99 percent for daily prediction. This enables the development of a new sort of intelligent intention.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"5 1","pages":"357-362"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81533866","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765858
Bolivar Núñez-Montoya, Carlos Naranjo-Riofrío, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna
Wind turbines are increasing their generation energy capacity, which requires an increase in reliability. One of the most relevant failures that occur in wind turbines is the one in the main bearing. The study of methods that allows predicting the behavior of Wind Turbines under different operation conditions will permit a forecast of any possible failure in the elements of the device. The current work presents the first results in developing a wind turbine digital twin using SCADA data. This DT should allow to estimate and simulate the behavior of the WT and be an additional tool in the prediction of failures. The used platform is MATLAB and its Simulink and Simscape modules.
{"title":"Development of a Wind Turbine Digital-Twin for failure prognosis: First Results","authors":"Bolivar Núñez-Montoya, Carlos Naranjo-Riofrío, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna","doi":"10.1109/IC_ASET53395.2022.9765858","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765858","url":null,"abstract":"Wind turbines are increasing their generation energy capacity, which requires an increase in reliability. One of the most relevant failures that occur in wind turbines is the one in the main bearing. The study of methods that allows predicting the behavior of Wind Turbines under different operation conditions will permit a forecast of any possible failure in the elements of the device. The current work presents the first results in developing a wind turbine digital twin using SCADA data. This DT should allow to estimate and simulate the behavior of the WT and be an additional tool in the prediction of failures. The used platform is MATLAB and its Simulink and Simscape modules.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"44 1","pages":"29-33"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77873402","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 : 2022-03-22DOI: 10.1109/IC_ASET53395.2022.9765835
Sabrine Bedoui, Anis Belhadj Brahim Bacha, S. Elloumi, N. Benhadj Braiek
This paper investigates the problem of designing controllers to enlarge the stability domain of polynomial discrete systems. In order to deal with this problem, we propose a method for computing a linear feedback control law, which extends the largest estimate of the stability domain. The designing of the control law is established in the form of an optimization problem that focuses on expanding the stability domain. An application example is presented to illustrate the efficiency of the proposed controller law for maximizing stability domain. The simulation results prove clearly the capability of our linear controller approach to increase the radium of the stability domain for the studied nonlinear system.
{"title":"Enlarging Nonlinear Discrete System’s Domain of Attraction Via Linear Control Law","authors":"Sabrine Bedoui, Anis Belhadj Brahim Bacha, S. Elloumi, N. Benhadj Braiek","doi":"10.1109/IC_ASET53395.2022.9765835","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765835","url":null,"abstract":"This paper investigates the problem of designing controllers to enlarge the stability domain of polynomial discrete systems. In order to deal with this problem, we propose a method for computing a linear feedback control law, which extends the largest estimate of the stability domain. The designing of the control law is established in the form of an optimization problem that focuses on expanding the stability domain. An application example is presented to illustrate the efficiency of the proposed controller law for maximizing stability domain. The simulation results prove clearly the capability of our linear controller approach to increase the radium of the stability domain for the studied nonlinear system.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"11 1","pages":"489-493"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85193005","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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