Pub Date : 2022-07-21DOI: 10.1109/iciccsp53532.2022.9862385
{"title":"ICICCSP 2022 Committee","authors":"","doi":"10.1109/iciccsp53532.2022.9862385","DOIUrl":"https://doi.org/10.1109/iciccsp53532.2022.9862385","url":null,"abstract":"","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378040","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862466
P. Mohanty, P. Jena, N. Padhy
Electric Vehicles (EVs) are considered a prominent alternative to fossil fuel-based vehicles to reduce environmental pollution in the transportation sector. Charging infrastructure development, especially fast-charging stations, is quite excellent in terms of charging time and speed compared to the other charging options. But that will reduce the battery lifetime. On the other hand, Battery Swapping Station (BSS) will swap batteries within ten minutes. As here, there is no need for fast charging of batteries; it will increase the lifetime. This paper presents a detailed and systematic review of BSS integration into the power system. Also, the concept of BSS-Microgrid is presented where the BSS can act as an Energy Storage System (ESS) upon requirement. The various optimization modeling solution techniques implemented in the literature and the challenges are discussed thoroughly.
{"title":"Integration of Battery Swapping Station into Microgrid: A Review","authors":"P. Mohanty, P. Jena, N. Padhy","doi":"10.1109/ICICCSP53532.2022.9862466","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862466","url":null,"abstract":"Electric Vehicles (EVs) are considered a prominent alternative to fossil fuel-based vehicles to reduce environmental pollution in the transportation sector. Charging infrastructure development, especially fast-charging stations, is quite excellent in terms of charging time and speed compared to the other charging options. But that will reduce the battery lifetime. On the other hand, Battery Swapping Station (BSS) will swap batteries within ten minutes. As here, there is no need for fast charging of batteries; it will increase the lifetime. This paper presents a detailed and systematic review of BSS integration into the power system. Also, the concept of BSS-Microgrid is presented where the BSS can act as an Energy Storage System (ESS) upon requirement. The various optimization modeling solution techniques implemented in the literature and the challenges are discussed thoroughly.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116672487","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862454
Mansi Mangroliya, Sravankumar Jogunuri, D. Vyas
Wind speed distributions estimations is a challenging job for establishing wind mill or wind farms. Many statistical methods reported recently were reviewed and found that Weibull distribution is widely used wind speed modelling. In the present study, by using three different statistical methods namely, Methods of Moment, Empirical Method and Power Density Methods used for estimating two Weibull parameters (shape factor-k and scale factor-c(m/s). For identifying the goodness of fit, root mean square error, chi-square error and R2 were considered and found that all three methods were performing in the same way and no any method is superior over the other.
{"title":"Estimation of Weibull parameters by different methods for assessment of wind energy potential","authors":"Mansi Mangroliya, Sravankumar Jogunuri, D. Vyas","doi":"10.1109/ICICCSP53532.2022.9862454","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862454","url":null,"abstract":"Wind speed distributions estimations is a challenging job for establishing wind mill or wind farms. Many statistical methods reported recently were reviewed and found that Weibull distribution is widely used wind speed modelling. In the present study, by using three different statistical methods namely, Methods of Moment, Empirical Method and Power Density Methods used for estimating two Weibull parameters (shape factor-k and scale factor-c(m/s). For identifying the goodness of fit, root mean square error, chi-square error and R2 were considered and found that all three methods were performing in the same way and no any method is superior over the other.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121024982","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862029
Parvaiz Ahmad Ahangar, S. A. Lone, Neeraj Gupta
Renewable energy is becoming more popular around the world, especially wind power and solar photovoltaic (SPV) systems with data interfaces and IoT sensors that generate significant volumes of data. In addition to serving as a monitoring device, the data provided by such devices can be used to improve system reliability and efficiency by providing real-time data. When compared to traditional model-based operation, data-driven based optimal renewable power operation is an emerging method for ensuring trouble-free power system operation. The data-driven method is effective for studying the impact of rapid distributed generation systems integration on utility power system functioning. In data-driven approach, Machine-learning (ML) is an emerging technology for addressing the optimal functioning power system networks. Data-driven operated distributed energy resources (DER) provide real-time management of our dependable power supply through suitable forecasting methods and hence give rise to the smart grid idea. In this proposed work, our objective is to apply a data-driven based strategy to the smart grid in order to ensure the smooth operation and control of both utility and renewable-rich power system.
{"title":"Power System Operation and Control: A Data-Driven Approach","authors":"Parvaiz Ahmad Ahangar, S. A. Lone, Neeraj Gupta","doi":"10.1109/ICICCSP53532.2022.9862029","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862029","url":null,"abstract":"Renewable energy is becoming more popular around the world, especially wind power and solar photovoltaic (SPV) systems with data interfaces and IoT sensors that generate significant volumes of data. In addition to serving as a monitoring device, the data provided by such devices can be used to improve system reliability and efficiency by providing real-time data. When compared to traditional model-based operation, data-driven based optimal renewable power operation is an emerging method for ensuring trouble-free power system operation. The data-driven method is effective for studying the impact of rapid distributed generation systems integration on utility power system functioning. In data-driven approach, Machine-learning (ML) is an emerging technology for addressing the optimal functioning power system networks. Data-driven operated distributed energy resources (DER) provide real-time management of our dependable power supply through suitable forecasting methods and hence give rise to the smart grid idea. In this proposed work, our objective is to apply a data-driven based strategy to the smart grid in order to ensure the smooth operation and control of both utility and renewable-rich power system.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006990","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862399
Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill
The era of new generation photovoltaics has captivated by the halide perovskites since their first execution, which was just a decade back. In spite of having the exceptional performance, the toxic nature of lead presents severe concerns for their commercialization and risks associated with human health and environment. Comparative analysis and modelling of solar cell with different absorber layers will supplement the current research progress in the field of perovskite solar cell (PSC). In this work, impact of five different perovskites: FASnI3, MASnI3, CsSnI3, CsSnCl3, and MAGeI3 as absorbing material was investigated and CsSnI3 was found to be most efficient among all with maximum power conversion efficiency (PCE). The structure used for inspection is Au/CuI/Perovskite/PCBM/TCO. In the proposed structure the effect of varying absorber layer thickness (AT), defect density and dopant concentration are analyzed. Total defect density (Nt) of HTL/perovskite and perovskite/ETL interface was also varied to investigate its effect on a PSC. This provides base for future research in the field of lead-free PSC.
{"title":"Comparative Performance Analysis and Modelling of Tin based Planar Perovskite Solar Cell","authors":"Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill","doi":"10.1109/ICICCSP53532.2022.9862399","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862399","url":null,"abstract":"The era of new generation photovoltaics has captivated by the halide perovskites since their first execution, which was just a decade back. In spite of having the exceptional performance, the toxic nature of lead presents severe concerns for their commercialization and risks associated with human health and environment. Comparative analysis and modelling of solar cell with different absorber layers will supplement the current research progress in the field of perovskite solar cell (PSC). In this work, impact of five different perovskites: FASnI3, MASnI3, CsSnI3, CsSnCl3, and MAGeI3 as absorbing material was investigated and CsSnI3 was found to be most efficient among all with maximum power conversion efficiency (PCE). The structure used for inspection is Au/CuI/Perovskite/PCBM/TCO. In the proposed structure the effect of varying absorber layer thickness (AT), defect density and dopant concentration are analyzed. Total defect density (Nt) of HTL/perovskite and perovskite/ETL interface was also varied to investigate its effect on a PSC. This provides base for future research in the field of lead-free PSC.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860948","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862492
Sudheer Medikonda, G. Vanitha, M. Ebraheem
The wind power injection into the electric power system is growing continuously in the world. It leads to certain operational challenges for power systems operators. As a countermeasure, the wind energy conversion system (WECS) must have a system that regulates real output power for retaining its maximum power-point capability. In the present paper, the mathematical modeling of PMSG is presented. The model is simulated with a resistive load on it and its transient response is plotted by changing the load. The entire system model is also presented. The system matrix is calculated and its eigenvalues are computed. The step response of the system is plotted.
{"title":"Modeling and Analysis of Wind Energy System","authors":"Sudheer Medikonda, G. Vanitha, M. Ebraheem","doi":"10.1109/ICICCSP53532.2022.9862492","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862492","url":null,"abstract":"The wind power injection into the electric power system is growing continuously in the world. It leads to certain operational challenges for power systems operators. As a countermeasure, the wind energy conversion system (WECS) must have a system that regulates real output power for retaining its maximum power-point capability. In the present paper, the mathematical modeling of PMSG is presented. The model is simulated with a resistive load on it and its transient response is plotted by changing the load. The entire system model is also presented. The system matrix is calculated and its eigenvalues are computed. The step response of the system is plotted.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139898","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}
For good quality power delivery to the consumers and maintaining the system stability in an interconnected power system, automatic generation control (AGC) plays a substantial role. This article describes AGC of a multi-area multi-unit interconnected power system (IPS). It consists of three area nine-unit system in which thermal and hydro plants are common in each area and wind, diesel and gas plants are combined in the area 1, area 2 and area 3 respectively. Boiler dynamics (BD), governor dead band (GDB) and generation rate constraint (GRC), are considered to make the system more practical and realistic but due to the introduction of GRC and GDB, the system becomes highly nonlinear. Hence, it becomes a challenging task to stabilize the system against any load disturbance. In this article, proportional-integral-derivative (PID) controller is designed by independently employing particle swarm optimization (PSO) and selfish herd optimization (SHO) algorithm and implemented for AGC of three un-equal area multi-source power system against a load disturbance of 1 % in area 1. It is found that the proposed SHO based PID controller is superior and more effective than the PSO based PID controller in damping out the frequencies and tie-line powers oscillations.
{"title":"SHO Algorithm Based PID Controller for Automatic Generation Control of Multiarea Multiunit Power System With Renewable Energy Source","authors":"Nimai Charan Patel, Sujesh Kumar Yadav, S. Yadav, Partha Sarathi Pradhan","doi":"10.1109/ICICCSP53532.2022.9862325","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862325","url":null,"abstract":"For good quality power delivery to the consumers and maintaining the system stability in an interconnected power system, automatic generation control (AGC) plays a substantial role. This article describes AGC of a multi-area multi-unit interconnected power system (IPS). It consists of three area nine-unit system in which thermal and hydro plants are common in each area and wind, diesel and gas plants are combined in the area 1, area 2 and area 3 respectively. Boiler dynamics (BD), governor dead band (GDB) and generation rate constraint (GRC), are considered to make the system more practical and realistic but due to the introduction of GRC and GDB, the system becomes highly nonlinear. Hence, it becomes a challenging task to stabilize the system against any load disturbance. In this article, proportional-integral-derivative (PID) controller is designed by independently employing particle swarm optimization (PSO) and selfish herd optimization (SHO) algorithm and implemented for AGC of three un-equal area multi-source power system against a load disturbance of 1 % in area 1. It is found that the proposed SHO based PID controller is superior and more effective than the PSO based PID controller in damping out the frequencies and tie-line powers oscillations.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126140348","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862372
Abhishek Saware, Navdeep Gavkar, S. Shinde, Priyanka Kulkarni
PID motor controllers are largely implemented in industrial applications because of their uncomplicated structure and simplicity in their design. PID controllers are generally preferred where the system characteristics are linear. But when system characteristics are non-linear, we have to change PID control gains according to system requirements. Moreover, the noise in the feedback sensing system makes the PID controller less suitable for system control. This paper aims to provide an advanced approach to improve the dynamic speed response of permanent magnet synchronous motor (PMSM) by replacing the PID controller with an adaptive neuro-fuzzy inference system (ANFIS) controller. This specific technique delivers the benefits fuzzy logic and neural network-based control system.
{"title":"Performance Improvement of PID Controller for PMSM Using ANFIS Controller","authors":"Abhishek Saware, Navdeep Gavkar, S. Shinde, Priyanka Kulkarni","doi":"10.1109/ICICCSP53532.2022.9862372","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862372","url":null,"abstract":"PID motor controllers are largely implemented in industrial applications because of their uncomplicated structure and simplicity in their design. PID controllers are generally preferred where the system characteristics are linear. But when system characteristics are non-linear, we have to change PID control gains according to system requirements. Moreover, the noise in the feedback sensing system makes the PID controller less suitable for system control. This paper aims to provide an advanced approach to improve the dynamic speed response of permanent magnet synchronous motor (PMSM) by replacing the PID controller with an adaptive neuro-fuzzy inference system (ANFIS) controller. This specific technique delivers the benefits fuzzy logic and neural network-based control system.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126619896","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862355
Ranjith Kumar Gatla, A. Kumar, P. Sridhar, D. Kumar, D. S. M. Rao
Transformer protection is a difficult problem in power system relaying. Because it is critical to reducing the frequency and duration of unwanted outages, there is a strong demand placed on power transformer protective relays. A novel method is described in this paper for standardized, current-based, single-phase or three-phase transformers. Differential protection of transformers is capable of distinguishing between internal and external faults and can operate for internal faults only. Faults that are slowly developing inside the transformer are not easily detected using other methods and, in such circumstances, differential protection is used. Differential protection is implemented using LabVIEW providing an opportunity to study this form of protection in depth
{"title":"Differential Protection of Single-Phase Transformer using LabVIEW","authors":"Ranjith Kumar Gatla, A. Kumar, P. Sridhar, D. Kumar, D. S. M. Rao","doi":"10.1109/ICICCSP53532.2022.9862355","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862355","url":null,"abstract":"Transformer protection is a difficult problem in power system relaying. Because it is critical to reducing the frequency and duration of unwanted outages, there is a strong demand placed on power transformer protective relays. A novel method is described in this paper for standardized, current-based, single-phase or three-phase transformers. Differential protection of transformers is capable of distinguishing between internal and external faults and can operate for internal faults only. Faults that are slowly developing inside the transformer are not easily detected using other methods and, in such circumstances, differential protection is used. Differential protection is implemented using LabVIEW providing an opportunity to study this form of protection in depth","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078894","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862381
Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud
This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers.
{"title":"Industrial Revolution 4.0: Energy Monitoring and Load Control System","authors":"Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud","doi":"10.1109/ICICCSP53532.2022.9862381","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862381","url":null,"abstract":"This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037489","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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