Pub Date : 2020-10-24DOI: 10.1109/NILES50944.2020.9257878
M. Azab, Bahaaeldin Mohamed A. Moustafa
The paper presents an experimental prototype of multi-mode autonomous self-driving electric vehicle controlled by Raspberry PI card based on Python language. The developed system provides several self-operating modes of operation using different types of sensors (ultrasound distance sensors and infrared sensors). According to multiple experimental testing, the developed system operates successfully under different modes of operation achieving satisfactory response and good tracking accuracy. The developed modes would be employed in industrial sites and logistic stores as autonomous shuttle service.
{"title":"Multi-Mode Self-Driving EV Control for Industrial Sites and Logistic Stores","authors":"M. Azab, Bahaaeldin Mohamed A. Moustafa","doi":"10.1109/NILES50944.2020.9257878","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257878","url":null,"abstract":"The paper presents an experimental prototype of multi-mode autonomous self-driving electric vehicle controlled by Raspberry PI card based on Python language. The developed system provides several self-operating modes of operation using different types of sensors (ultrasound distance sensors and infrared sensors). According to multiple experimental testing, the developed system operates successfully under different modes of operation achieving satisfactory response and good tracking accuracy. The developed modes would be employed in industrial sites and logistic stores as autonomous shuttle service.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123467024","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257957
Bishoy E. Wissa, Arsany W. Youssef, A. El-Badawy
In the current work, a six degrees-of-freedom (DoF) time-invariant flapping wing micro aerial vehicle (FWMAV) model is adopted. The averaged model is linearized using the Jacobian technique for controller design purposes. To yield good trajectory tracking response, a state feedback controller (SF) is used for the sake of system stabilization. To consider the effect of the reference input without steady-state error, a two-DoF controller (2DoF) is designed. However, the system is not robust to any external disturbances. An integral two-DoF controller (2DoF_I) is proposed to accomplish robust performance against external disturbances. Simulations demonstrate the effectiveness of the proposed controller in attaining robust trajectory tracking.
{"title":"Two-DoF Controller Design for a six-DoF Flapping Wing Micro Aerial Vehicle","authors":"Bishoy E. Wissa, Arsany W. Youssef, A. El-Badawy","doi":"10.1109/NILES50944.2020.9257957","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257957","url":null,"abstract":"In the current work, a six degrees-of-freedom (DoF) time-invariant flapping wing micro aerial vehicle (FWMAV) model is adopted. The averaged model is linearized using the Jacobian technique for controller design purposes. To yield good trajectory tracking response, a state feedback controller (SF) is used for the sake of system stabilization. To consider the effect of the reference input without steady-state error, a two-DoF controller (2DoF) is designed. However, the system is not robust to any external disturbances. An integral two-DoF controller (2DoF_I) is proposed to accomplish robust performance against external disturbances. Simulations demonstrate the effectiveness of the proposed controller in attaining robust trajectory tracking.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121543695","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257980
Mohamed M. Kamel, Sherif Hussein, G. Salama, Y. Elhalwagy
Target detection has a wide spectrum of promising applications in image processing. Several image matching techniques using features descriptors and detectors that can be used for target detection were introduced in the literature. These techniques achieve the detection task accurately in case of capturing the reference and scene images from the same sensor. On the other hand, the performance of these matching techniques is degraded if the scene and reference images were captured from different sensors because of different image transformations and deformations problems that occur.This paper introduces a robust technique that enhances the performance of the target detection. We argue that, the proposed technique differs significantly from many recent target detection techniques, as it is based mainly on a voting process that select the best matches between the reference images and the scene image. The proposed technique emphasizes the features of objects in multiple reference images with different perspective angles for enhancing the matching task. Experimental results with real images are used to illustrate the efficiency of this approach. The accuracy percentage for the proposed technique is 48.4615 %. The performance of the proposed technique outperforms the recent techniques and increases the resilience of the image matching task against different image transformations and deformations problems. Finally, the performance analysis is accomplished using three metrics: number of matches, execution time, and accuracy.
{"title":"Robust Target Detection in Optical Scene Based on Multiple Reference Images","authors":"Mohamed M. Kamel, Sherif Hussein, G. Salama, Y. Elhalwagy","doi":"10.1109/NILES50944.2020.9257980","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257980","url":null,"abstract":"Target detection has a wide spectrum of promising applications in image processing. Several image matching techniques using features descriptors and detectors that can be used for target detection were introduced in the literature. These techniques achieve the detection task accurately in case of capturing the reference and scene images from the same sensor. On the other hand, the performance of these matching techniques is degraded if the scene and reference images were captured from different sensors because of different image transformations and deformations problems that occur.This paper introduces a robust technique that enhances the performance of the target detection. We argue that, the proposed technique differs significantly from many recent target detection techniques, as it is based mainly on a voting process that select the best matches between the reference images and the scene image. The proposed technique emphasizes the features of objects in multiple reference images with different perspective angles for enhancing the matching task. Experimental results with real images are used to illustrate the efficiency of this approach. The accuracy percentage for the proposed technique is 48.4615 %. The performance of the proposed technique outperforms the recent techniques and increases the resilience of the image matching task against different image transformations and deformations problems. Finally, the performance analysis is accomplished using three metrics: number of matches, execution time, and accuracy.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233559","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257877
Hossam S. Hassan, Samar M. Ismail
Chaos-based image encryption systems have drawn the attention of researchers in the data security field tremendously over the past few years. In this paper, an image encryption system based on generalized Double-Humped logistic map is designed and implemented on Virtex-5 FPGA platform. Due to the high sensitivity of chaotic functions, floating-point data representation is adopted to achieve high precision and accuracy of results compared to system simulations. The proposed hard-ware design of the encryption system fits the simulation results exactly, and validated with practical implementation, achieving clock frequency of 350 MHz.
{"title":"Floating-Point Double-Humped Chaotic Image Encryption on FPGA","authors":"Hossam S. Hassan, Samar M. Ismail","doi":"10.1109/NILES50944.2020.9257877","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257877","url":null,"abstract":"Chaos-based image encryption systems have drawn the attention of researchers in the data security field tremendously over the past few years. In this paper, an image encryption system based on generalized Double-Humped logistic map is designed and implemented on Virtex-5 FPGA platform. Due to the high sensitivity of chaotic functions, floating-point data representation is adopted to achieve high precision and accuracy of results compared to system simulations. The proposed hard-ware design of the encryption system fits the simulation results exactly, and validated with practical implementation, achieving clock frequency of 350 MHz.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123200005","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257938
I. Fahim, Nour Abdullatif, Muhammad Abushahba, Rawan Tawfik, Trez Mourad, S. Kassem
This paper aims to study how the agility concept is successfully applied in manufacturing facilities. The study is involved in selecting the industry and the machines for the novel Microfactory established at Nile Preneurs, Nile University, with focus on the sheet metal workshop located in the Microfactory. The recommendations of this work include the most suitable layout, scheduling technique according to the manufacturing lead time, utilization, work in process, tool change over and distance travelled by operators. Flexsim simulation software is used to determine the optimum combination of layout along with the most efficient scheduling technique.
{"title":"Microfactory strategic decision making using simulation","authors":"I. Fahim, Nour Abdullatif, Muhammad Abushahba, Rawan Tawfik, Trez Mourad, S. Kassem","doi":"10.1109/NILES50944.2020.9257938","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257938","url":null,"abstract":"This paper aims to study how the agility concept is successfully applied in manufacturing facilities. The study is involved in selecting the industry and the machines for the novel Microfactory established at Nile Preneurs, Nile University, with focus on the sheet metal workshop located in the Microfactory. The recommendations of this work include the most suitable layout, scheduling technique according to the manufacturing lead time, utilization, work in process, tool change over and distance travelled by operators. Flexsim simulation software is used to determine the optimum combination of layout along with the most efficient scheduling technique.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128623922","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257919
A. Sayed, H. Ammar, R. Shalaby
In this paper we focus on the proof of concept prototype of fully autonomous centralized Multi-Robot System (MRS) consisting of a Hexapod walking robot and a six wheeled mobile robot. Recently, there has been an increasing demand for such systems as they can be involved in several tasks such as collaborative search and rescue, surveillance, monitoring, and disinfecting Field hospitals. To name a few, COVID-19 pandemic showed the weak points in the medical sector around the world, including those in the most advanced nations that had to go through hard decisions due to the lack of medical supplies and personal protective equipment. The developed system was rapidly adjusted due to COVID-19 pandemic to perform additional tasks like disinfection and remote body temperature detection. The developed system abide by ISO 13482 safety requirements for personal care robots, meaning it will be used and deployed in Field hospitals. We implemented the proposed approach in a game setting of a field hospital where the Hexapod is used to scan and draw a map of the Field hospital environment and to draw a path then the six wheeled mobile robot acts as a medical cargo delivery that enters based on the predefined map and path.
{"title":"Centralized Multi-agent Mobile Robots SLAM and Navigation for COVID-19 Field Hospitals","authors":"A. Sayed, H. Ammar, R. Shalaby","doi":"10.1109/NILES50944.2020.9257919","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257919","url":null,"abstract":"In this paper we focus on the proof of concept prototype of fully autonomous centralized Multi-Robot System (MRS) consisting of a Hexapod walking robot and a six wheeled mobile robot. Recently, there has been an increasing demand for such systems as they can be involved in several tasks such as collaborative search and rescue, surveillance, monitoring, and disinfecting Field hospitals. To name a few, COVID-19 pandemic showed the weak points in the medical sector around the world, including those in the most advanced nations that had to go through hard decisions due to the lack of medical supplies and personal protective equipment. The developed system was rapidly adjusted due to COVID-19 pandemic to perform additional tasks like disinfection and remote body temperature detection. The developed system abide by ISO 13482 safety requirements for personal care robots, meaning it will be used and deployed in Field hospitals. We implemented the proposed approach in a game setting of a field hospital where the Hexapod is used to scan and draw a map of the Field hospital environment and to draw a path then the six wheeled mobile robot acts as a medical cargo delivery that enters based on the predefined map and path.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128069148","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257924
Ali Khater Mohamed, Anas A. Hadi, A. W. Mohamed
The effort devoted in introducing new numerical optimization benchmarks has attracted the attention to develop new optimization algorithms to solve them. Very recently, a new suite on bound constrained optimization problems is proposed as a new addition to CEC benchmark series. Differential Evolution (DE) is a simple Evolutionary Algorithm (EA) which shows superior performance to solve many CEC benchmark during the past years. This paper presents a new extension to DE algorithm through extending the line of research for AGDE algorithm. The new algorithm, which we name GADE, enhanced the DE algorithm by introducing a generalized adaptive framework for enhancing the performance of DE. Numerical experiments on a set of 10 test problems from the CEC2020 benchmarks for 5, 10, 15 and 20 dimensions, including a comparison with state-of-the-art algorithm are executed. Comparative analysis indicates that GADE is superior to other state-of-the-art algorithms in terms of stability, robustness, and quality of solution.
{"title":"Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems","authors":"Ali Khater Mohamed, Anas A. Hadi, A. W. Mohamed","doi":"10.1109/NILES50944.2020.9257924","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257924","url":null,"abstract":"The effort devoted in introducing new numerical optimization benchmarks has attracted the attention to develop new optimization algorithms to solve them. Very recently, a new suite on bound constrained optimization problems is proposed as a new addition to CEC benchmark series. Differential Evolution (DE) is a simple Evolutionary Algorithm (EA) which shows superior performance to solve many CEC benchmark during the past years. This paper presents a new extension to DE algorithm through extending the line of research for AGDE algorithm. The new algorithm, which we name GADE, enhanced the DE algorithm by introducing a generalized adaptive framework for enhancing the performance of DE. Numerical experiments on a set of 10 test problems from the CEC2020 benchmarks for 5, 10, 15 and 20 dimensions, including a comparison with state-of-the-art algorithm are executed. Comparative analysis indicates that GADE is superior to other state-of-the-art algorithms in terms of stability, robustness, and quality of solution.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132462731","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257970
Abduel Rahman Magdy, Muhammad Mahmoud Kamal, A. Guaily
In this contribution, a simple yet effective design for Schlieren photography system is described and implemented. The proposed system is used in the visualization of both heat and mass transfer phenomena. Refractive index gradient is created by a lighter to study mass transfer, then the lighter is ignited to create temperature gradient. Results show the ability of the proposed system in capturing the gradients in both mass and temperature gradients.
{"title":"Design of a Schlieren System for Visualization of Heat and Mass Transfer","authors":"Abduel Rahman Magdy, Muhammad Mahmoud Kamal, A. Guaily","doi":"10.1109/NILES50944.2020.9257970","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257970","url":null,"abstract":"In this contribution, a simple yet effective design for Schlieren photography system is described and implemented. The proposed system is used in the visualization of both heat and mass transfer phenomena. Refractive index gradient is created by a lighter to study mass transfer, then the lighter is ignited to create temperature gradient. Results show the ability of the proposed system in capturing the gradients in both mass and temperature gradients.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122419192","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257920
L. A. El-aziz, Esraa Amr, Hassnaa Yehia, Heba Mostfa, Menna Hisham, Ahmed Shenawy, Ahmed K. F. Khattab, A. Taha, Hany El-Akel
In this paper, we present cell outage detection and cell degradation classification algorithms for Self-Organizing Networks (SONs). The cell outage detection algorithm uses both the cell’s reported alarms and Key Performance Indicators (KPIs) to determine whether or not the cell is experience outage. For those cells that are not in outage, the cell degradation classification algorithm identifies the level of performance as either critical degradation, medium degradation or normal cell operation. The key idea of the proposed classification approach is to use the least number of KPIs by studying the correlation between the different KPIs. We consider three different machine learning algorithms for classification. Our results show that the Random Forest approach results in the highest accuracy of 99% with a runtime reduced by 29% due to the reduction in the number of used KPIs.
{"title":"Cell Outage Detection and Degradation Classification Based on Alarms and KPI’s Correlation","authors":"L. A. El-aziz, Esraa Amr, Hassnaa Yehia, Heba Mostfa, Menna Hisham, Ahmed Shenawy, Ahmed K. F. Khattab, A. Taha, Hany El-Akel","doi":"10.1109/NILES50944.2020.9257920","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257920","url":null,"abstract":"In this paper, we present cell outage detection and cell degradation classification algorithms for Self-Organizing Networks (SONs). The cell outage detection algorithm uses both the cell’s reported alarms and Key Performance Indicators (KPIs) to determine whether or not the cell is experience outage. For those cells that are not in outage, the cell degradation classification algorithm identifies the level of performance as either critical degradation, medium degradation or normal cell operation. The key idea of the proposed classification approach is to use the least number of KPIs by studying the correlation between the different KPIs. We consider three different machine learning algorithms for classification. Our results show that the Random Forest approach results in the highest accuracy of 99% with a runtime reduced by 29% due to the reduction in the number of used KPIs.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881806","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 : 2020-10-24DOI: 10.1109/NILES50944.2020.9257940
A. Elshafei, A. Guaily, M. Boraey
Molten salt has been realized as a potential candidate as a clean non-pollutant heat transfer fluid for concentrated solar power plants because of its high heat capacity and broad ranges of operational temperatures. In this study, the Nusselt number of the commercially known Hitec molten salt is numerically assessed, using k-ε model turbulence model with non-equilibrium wall functions, for the ranges of 104-105 Reynolds number and 104-105 W/m2 uniform surface heat flux. Moreover, the present work is compared against previously published work with success. The proposed numerical model provides valuable guidelines for the development of heat exchanging systems.
{"title":"Comparative Study of Nusselt Number Correlations for Hitec Molten Salt","authors":"A. Elshafei, A. Guaily, M. Boraey","doi":"10.1109/NILES50944.2020.9257940","DOIUrl":"https://doi.org/10.1109/NILES50944.2020.9257940","url":null,"abstract":"Molten salt has been realized as a potential candidate as a clean non-pollutant heat transfer fluid for concentrated solar power plants because of its high heat capacity and broad ranges of operational temperatures. In this study, the Nusselt number of the commercially known Hitec molten salt is numerically assessed, using k-ε model turbulence model with non-equilibrium wall functions, for the ranges of 104-105 Reynolds number and 104-105 W/m2 uniform surface heat flux. Moreover, the present work is compared against previously published work with success. The proposed numerical model provides valuable guidelines for the development of heat exchanging systems.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116463990","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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