Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788426
Qusai W. Meqdady, Saeed H. Issa, Mohammad H. Al-Juwhary, Zaid A. Sabbah, Yanal S. Faouri
This paper presents a frequency diversity microstrip antenna inspired by a metamaterial structure that resonates at single or multiple frequency bands for wireless applications. The metamaterial is designed to have multiple double negative bands overlaps with the antenna wideband reflection coefficients. Two ideal PIN diodes are inserted in the metamaterial portion that facilitates having a different frequency band of operation by altering their states. The proposed antenna can work on single, dual, or triple spectrums. Antenna characteristics are investigated to ensure the wellness of the design. It has a peak gain of 4.7 dB and its radiation efficiency can reach 98.78 %.
{"title":"A Compact Frequency Reconfigurable Metamaterial Based Antenna for Wireless Applications","authors":"Qusai W. Meqdady, Saeed H. Issa, Mohammad H. Al-Juwhary, Zaid A. Sabbah, Yanal S. Faouri","doi":"10.1109/GC-ElecEng52322.2021.9788426","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788426","url":null,"abstract":"This paper presents a frequency diversity microstrip antenna inspired by a metamaterial structure that resonates at single or multiple frequency bands for wireless applications. The metamaterial is designed to have multiple double negative bands overlaps with the antenna wideband reflection coefficients. Two ideal PIN diodes are inserted in the metamaterial portion that facilitates having a different frequency band of operation by altering their states. The proposed antenna can work on single, dual, or triple spectrums. Antenna characteristics are investigated to ensure the wellness of the design. It has a peak gain of 4.7 dB and its radiation efficiency can reach 98.78 %.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130370571","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788164
Andres Rojas, G. Dolecek
This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based on the set B from the public databases FVC2000, FVC2002, and FVC2004. The general results indicate that this system can achieve high accuracy values for several sub-databases using multiple supervised machine learning algorithms including decision trees, discriminant analysis, support vector machines, logistic regression, nearest neighbors, naive Bayes, and ensemble classifiers. The highest accuracy value of 98.8% corresponding to the DB3-2000 subset was obtained using the ensemble subspace discriminant classifier.
{"title":"Evaluation of Supervised Machine Learning Classification Algorithms for Fingerprint Recognition","authors":"Andres Rojas, G. Dolecek","doi":"10.1109/GC-ElecEng52322.2021.9788164","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788164","url":null,"abstract":"This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition system based on the set B from the public databases FVC2000, FVC2002, and FVC2004. The general results indicate that this system can achieve high accuracy values for several sub-databases using multiple supervised machine learning algorithms including decision trees, discriminant analysis, support vector machines, logistic regression, nearest neighbors, naive Bayes, and ensemble classifiers. The highest accuracy value of 98.8% corresponding to the DB3-2000 subset was obtained using the ensemble subspace discriminant classifier.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130853435","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788392
J. Sorribes, Jaime Lloret, Lourdes Peñalver
Neighbor discovery can be seen as a crucial point after the wireless ad hoc networks have been deployed. In some practical situations we would like to elect a favourite neighbor to be used for example as a gateway therefore neighbor selection is also required. In this paper, we present NDSP (Neighbor Discovery and Selection Protocol), a randomized approach which handles collision detection to fulfill the neigh-bor discovery in static environments, and deals with priorities to elect these favourite nodes. We relied on Castalia 3.2 in order to compare the approach with two protocols selected from the literature, modified to include neighbor selection: the NS-PRR (Neighbor Selection PRR), and the NS-Hello protocol (Neighbor Selection Hello). We conclude that the NDSP outperforms both reference protocols in terms the time and the energy consumption, and the number of packets sent in both one-hop and multi-hop environments. Furthermore, the proposal achieves to work following more realistic assumptions.
邻居发现是无线自组织网络部署完成后的一个关键环节。在一些实际情况下，我们希望选择一个最喜欢的邻居来使用，例如作为网关，因此邻居选择也是必需的。本文提出了NDSP (Neighbor Discovery and Selection Protocol，邻居发现与选择协议)，它是一种在静态环境中处理冲突检测来完成邻居发现的随机方法，并处理优先级来选择这些最喜欢的节点。为了将该方法与文献中选择的两种协议进行比较，我们依赖于Castalia 3.2，修改后包括邻居选择:NS-PRR(邻居选择PRR)和NS-Hello协议(邻居选择Hello)。我们得出结论，NDSP在时间和能量消耗以及在单跳和多跳环境下发送的数据包数量方面优于两种参考协议。此外，该建议在更现实的假设下实现了工作。
{"title":"Neighbor Discovery and Selection based on the Management of Priorities in Wireless Ad Hoc Networks","authors":"J. Sorribes, Jaime Lloret, Lourdes Peñalver","doi":"10.1109/GC-ElecEng52322.2021.9788392","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788392","url":null,"abstract":"Neighbor discovery can be seen as a crucial point after the wireless ad hoc networks have been deployed. In some practical situations we would like to elect a favourite neighbor to be used for example as a gateway therefore neighbor selection is also required. In this paper, we present NDSP (Neighbor Discovery and Selection Protocol), a randomized approach which handles collision detection to fulfill the neigh-bor discovery in static environments, and deals with priorities to elect these favourite nodes. We relied on Castalia 3.2 in order to compare the approach with two protocols selected from the literature, modified to include neighbor selection: the NS-PRR (Neighbor Selection PRR), and the NS-Hello protocol (Neighbor Selection Hello). We conclude that the NDSP outperforms both reference protocols in terms the time and the energy consumption, and the number of packets sent in both one-hop and multi-hop environments. Furthermore, the proposal achieves to work following more realistic assumptions.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117143452","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788175
Rodrigo Possidônio Noronha
This paper aims to perform the performance analysis of the Modified Variable Step Size Fractional Least Mean Square (MVSS-FLMS) algorithm in the design of Direct Adaptive Inverse Control (DAIC) nonlinear based on Volterra model. The motivation for formulating the DAIC based on Volterra model, is so that the controller can track the inverse dynamics of plants with nonlinearity of polynomial type. Since the MVSS-FLMS algorithm proposes the use of variable step size, then its application in nonlinear DAIC design allows to obtain nonconservative results for a performance analysis, with respect to convergence speed and steady-state Mean Square Error (MSE). As an increment of the complexity scenario, the present work was evaluated in the presence of a sinusoidal disturbance signal added to the control signal.
{"title":"A New Contribution to the Nonlinear Direct Adaptive Inverse Control Based on Volterra Model Subject to Sinusoidal Disturbance","authors":"Rodrigo Possidônio Noronha","doi":"10.1109/GC-ElecEng52322.2021.9788175","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788175","url":null,"abstract":"This paper aims to perform the performance analysis of the Modified Variable Step Size Fractional Least Mean Square (MVSS-FLMS) algorithm in the design of Direct Adaptive Inverse Control (DAIC) nonlinear based on Volterra model. The motivation for formulating the DAIC based on Volterra model, is so that the controller can track the inverse dynamics of plants with nonlinearity of polynomial type. Since the MVSS-FLMS algorithm proposes the use of variable step size, then its application in nonlinear DAIC design allows to obtain nonconservative results for a performance analysis, with respect to convergence speed and steady-state Mean Square Error (MSE). As an increment of the complexity scenario, the present work was evaluated in the presence of a sinusoidal disturbance signal added to the control signal.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125639388","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788131
E. Abdulhay, Ahmad Ghaith Allow, Mohammad Eyad Al-Jalouly
This paper presents an alternative method to diagnose Malaria and Anemia (Sickle Cell Anemia, Megaloblastic Anemia and Thalassemia) as well as to differentiate between them. First, different related high resolution images of blood samples are taken from multiple datasets. Second, Convolutional Neural Networks (CNN) technique is implemented and applied in order to process the images without the need of the standard protocol of Complete Blood Count (CBC) test. The implemented convolutional Neural Network has been designed using Python to train on a number of microscopic images. After completing the training phase, the built model has been tested on other images to classify them into normal blood cells, Malaria, Sickle cell anemia, Megaloblastic anemia or Thalassemia. Third, the diagnosis is made based on the outcomes. Finally, the accuracy of results is assessed. The total accuracy of the test is 93.4%. The suggested approach yields promising outcomes that help diagnose blood samples faster, with low cost as well as without the need of an analysis laboratory.
{"title":"Detection of Sickle Cell, Megaloblastic Anemia, Thalassemia and Malaria through Convolutional Neural Network","authors":"E. Abdulhay, Ahmad Ghaith Allow, Mohammad Eyad Al-Jalouly","doi":"10.1109/GC-ElecEng52322.2021.9788131","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788131","url":null,"abstract":"This paper presents an alternative method to diagnose Malaria and Anemia (Sickle Cell Anemia, Megaloblastic Anemia and Thalassemia) as well as to differentiate between them. First, different related high resolution images of blood samples are taken from multiple datasets. Second, Convolutional Neural Networks (CNN) technique is implemented and applied in order to process the images without the need of the standard protocol of Complete Blood Count (CBC) test. The implemented convolutional Neural Network has been designed using Python to train on a number of microscopic images. After completing the training phase, the built model has been tested on other images to classify them into normal blood cells, Malaria, Sickle cell anemia, Megaloblastic anemia or Thalassemia. Third, the diagnosis is made based on the outcomes. Finally, the accuracy of results is assessed. The total accuracy of the test is 93.4%. The suggested approach yields promising outcomes that help diagnose blood samples faster, with low cost as well as without the need of an analysis laboratory.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124494558","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788439
Masoud Hakimi Heris, R. Faez
Single-Electron-Transistor (SET) features are exploited to improve the performance and the area of digital-to-time domain analog converters. There are two DTCs proposed in this research, DTC1 and DTC2, which have 4 and 8 transistors less compared with previous research, respectively. In the beginning, DTC1 and DTC2, are designed and simulated using CMOS transistors. Afterwards, the area, the power consumption and the delay parameters are discussed. In the rest, the mentioned DTCs are designed and simulated using SET instead of CMOS. Although power consumption and area were extremely reduced, it is shown that the delay parameter had an unacceptable increase. Finally, to overcome delay issue, combination of SET and CMOS was exploited to design and simulate DTCs. The simulations' results have shown improvement in delay parameter; especially it is found that Hybrid-DTC2 has the best performance in comparison with all designs.
{"title":"Investigation of the possibility of using Single-Electron Transistors in Digital-to-Time Converters","authors":"Masoud Hakimi Heris, R. Faez","doi":"10.1109/GC-ElecEng52322.2021.9788439","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788439","url":null,"abstract":"Single-Electron-Transistor (SET) features are exploited to improve the performance and the area of digital-to-time domain analog converters. There are two DTCs proposed in this research, DTC1 and DTC2, which have 4 and 8 transistors less compared with previous research, respectively. In the beginning, DTC1 and DTC2, are designed and simulated using CMOS transistors. Afterwards, the area, the power consumption and the delay parameters are discussed. In the rest, the mentioned DTCs are designed and simulated using SET instead of CMOS. Although power consumption and area were extremely reduced, it is shown that the delay parameter had an unacceptable increase. Finally, to overcome delay issue, combination of SET and CMOS was exploited to design and simulate DTCs. The simulations' results have shown improvement in delay parameter; especially it is found that Hybrid-DTC2 has the best performance in comparison with all designs.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542655","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788350
V. M. Baeza, A. G. Armada
Most designs for multi-user non-coherent massive single input multiple output (m-SIMO) uplink system based on M-DPSK are proposed for Rayleigh fading. The inter user interference complicates their usage in Rician channels. For this reason the designs had to be only considered for two users due to the high complexity at the receiver side. In the context of 5G, the scenarios may be subject to heterogeneous fading conditions. Therefore, in this paper we analyze a multi-user non-coherent m-SIMO in heterogeneous propagation conditions for contemplating more realistic scenarios, where both Rayleigh and Rician fading may be present. The performance analysis shows that the adequate user grouping with different fading in the same physical resource allows unifying the constellation for both groups of users and the detection algorithm, reducing the complexity of the receiver. Also, the number of users that may be multiplexed may be further increased thanks to the improved performance.
{"title":"User Grouping for Non-Coherent DPSK Massive SIMO with Heterogeneous Propagation Conditions","authors":"V. M. Baeza, A. G. Armada","doi":"10.1109/GC-ElecEng52322.2021.9788350","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788350","url":null,"abstract":"Most designs for multi-user non-coherent massive single input multiple output (m-SIMO) uplink system based on M-DPSK are proposed for Rayleigh fading. The inter user interference complicates their usage in Rician channels. For this reason the designs had to be only considered for two users due to the high complexity at the receiver side. In the context of 5G, the scenarios may be subject to heterogeneous fading conditions. Therefore, in this paper we analyze a multi-user non-coherent m-SIMO in heterogeneous propagation conditions for contemplating more realistic scenarios, where both Rayleigh and Rician fading may be present. The performance analysis shows that the adequate user grouping with different fading in the same physical resource allows unifying the constellation for both groups of users and the detection algorithm, reducing the complexity of the receiver. Also, the number of users that may be multiplexed may be further increased thanks to the improved performance.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917507","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788270
G. Samara, Mohammad Hussein, Khaled E. Al-Qawasmi
There are numerous applications for VANET that will be used in the future to improve road safety and develop intelligent transportation systems. It will give authorities complete visibility to monitor the street, street junctions, vehicles, and rush of vehicles and accidents that occur during the day/night hours, affecting traffic status in general. This paper develops a new methodology for running an alarm system in a vehicle, Alarm System at Street Junctions (ASSJ). According to the method, an alarm will sound to warn the drivers if the threshold is reached. After calculating the vehicle's speed or the distance between vehicles based on their locations, if the system predicts that a crash accident is likely to occur after a certain time – determined after tuning –, an alarm message sound/light will be generated in the vehicle to alert the driver. If this ASSJ methodology is implemented, it will improve the overall safety of transportation systems. One of the key characteristics of this methodology is that it is not primarily reliant on the backbone network but rather on exchanged communications between vehicles (V2V) and between vehicles and the infrastructure RSU, with each vehicle having its onboard unit OBU with processors, memory, and sensors
{"title":"Alarm System at Street Junctions (ASSJ) to Avoid Accidents Using VANET System","authors":"G. Samara, Mohammad Hussein, Khaled E. Al-Qawasmi","doi":"10.1109/GC-ElecEng52322.2021.9788270","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788270","url":null,"abstract":"There are numerous applications for VANET that will be used in the future to improve road safety and develop intelligent transportation systems. It will give authorities complete visibility to monitor the street, street junctions, vehicles, and rush of vehicles and accidents that occur during the day/night hours, affecting traffic status in general. This paper develops a new methodology for running an alarm system in a vehicle, Alarm System at Street Junctions (ASSJ). According to the method, an alarm will sound to warn the drivers if the threshold is reached. After calculating the vehicle's speed or the distance between vehicles based on their locations, if the system predicts that a crash accident is likely to occur after a certain time – determined after tuning –, an alarm message sound/light will be generated in the vehicle to alert the driver. If this ASSJ methodology is implemented, it will improve the overall safety of transportation systems. One of the key characteristics of this methodology is that it is not primarily reliant on the backbone network but rather on exchanged communications between vehicles (V2V) and between vehicles and the infrastructure RSU, with each vehicle having its onboard unit OBU with processors, memory, and sensors","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128512292","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 : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788230
M. Al-Mousa, Nael A. Sweerky, G. Samara, Mohammed Alghanim, Abla Hussein, Braa Qadoumi
Digital forensics methods and techniques have turned into a significant element in the investigation of digital crimes and gathering evidence about these crimes. The investigators of digital forensics regularly obey standard ways and use recognized methods and techniques throughout investigating. On the other hand, cybercriminals recognize which methods and tools are utilized in an examination and the way that digital forensic tools work. Therefore, they began to discover and perform another techniques assigned to anti-forensics. It foils the forensics process and tools by destroying, hiding, or modifying digital evidence and increases the difficulty of detecting the effects of cybercrimes. This paper tries to reach a standard approach for defining the term of anti-forensics, classifying the anti-forensics tools, and finally, determining general countermeasures to preserve forensics integrity.
{"title":"General Countermeasures of Anti-Forensics Categories","authors":"M. Al-Mousa, Nael A. Sweerky, G. Samara, Mohammed Alghanim, Abla Hussein, Braa Qadoumi","doi":"10.1109/GC-ElecEng52322.2021.9788230","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788230","url":null,"abstract":"Digital forensics methods and techniques have turned into a significant element in the investigation of digital crimes and gathering evidence about these crimes. The investigators of digital forensics regularly obey standard ways and use recognized methods and techniques throughout investigating. On the other hand, cybercriminals recognize which methods and tools are utilized in an examination and the way that digital forensic tools work. Therefore, they began to discover and perform another techniques assigned to anti-forensics. It foils the forensics process and tools by destroying, hiding, or modifying digital evidence and increases the difficulty of detecting the effects of cybercrimes. This paper tries to reach a standard approach for defining the term of anti-forensics, classifying the anti-forensics tools, and finally, determining general countermeasures to preserve forensics integrity.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872818","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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