Pub Date : 2020-12-04DOI: 10.1109/SMART50582.2020.9337148
J. Rai, R. Tripathi, Nipun Gulati
This paper focuses on a Comparative Study of Implementing Innovation in Education Sector due to COVID-19. It focuses on the ability of Education Sector to change and adapt quickly, to be responsive to new technologies and methodologies and be flexible to the needs of the students, parents and government. Video meetings, online teaching, digital platforms, etc. are the technologies used to increase the growth of online education. So, I have defined the different analysis study based on earlier education system and new education system. A drastic change is predicted in the education sector.
{"title":"A Comparative Study of Implementing Innovation in Education Sector Due to COVID-19","authors":"J. Rai, R. Tripathi, Nipun Gulati","doi":"10.1109/SMART50582.2020.9337148","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337148","url":null,"abstract":"This paper focuses on a Comparative Study of Implementing Innovation in Education Sector due to COVID-19. It focuses on the ability of Education Sector to change and adapt quickly, to be responsive to new technologies and methodologies and be flexible to the needs of the students, parents and government. Video meetings, online teaching, digital platforms, etc. are the technologies used to increase the growth of online education. So, I have defined the different analysis study based on earlier education system and new education system. A drastic change is predicted in the education sector.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132958136","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9336795
Mazoon Hashil Al Rubaiei, Thuraiya Al Yarubi, Maiya Al Saadi, B. Kumar
Structure Query Language Injection (SQLI) is one of the top most threat to web-based applications (Like e-commerce, banking, shopping, trading, blogs, etc.) which are connected to the database. The attacker has the ability to get full access and the full control of the database or the application and that drives to removing, modifying and changing significant data. This can be performed by the attacker when a sequence of malicious SQL statements are injected by the attacker into a query through an input that is not validated. Finding the proper solution to stop or mitigate the SQL injection is necessary due to the importance of security of web applications. Many researchers have studied SQLIA detection and prevention extensively and have proposed various methods. However, these techniques are not enough because usually, they have limitations cannot stop all type of attacks. This paper presents background study about classical types of SQLIA, detection and prevention techniques as well as evaluation of these approaches against those types of attacks.
{"title":"SQLIA Detection and Prevention Techniques","authors":"Mazoon Hashil Al Rubaiei, Thuraiya Al Yarubi, Maiya Al Saadi, B. Kumar","doi":"10.1109/SMART50582.2020.9336795","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336795","url":null,"abstract":"Structure Query Language Injection (SQLI) is one of the top most threat to web-based applications (Like e-commerce, banking, shopping, trading, blogs, etc.) which are connected to the database. The attacker has the ability to get full access and the full control of the database or the application and that drives to removing, modifying and changing significant data. This can be performed by the attacker when a sequence of malicious SQL statements are injected by the attacker into a query through an input that is not validated. Finding the proper solution to stop or mitigate the SQL injection is necessary due to the importance of security of web applications. Many researchers have studied SQLIA detection and prevention extensively and have proposed various methods. However, these techniques are not enough because usually, they have limitations cannot stop all type of attacks. This paper presents background study about classical types of SQLIA, detection and prevention techniques as well as evaluation of these approaches against those types of attacks.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121439564","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337120
Sonal Garg, D. Sharma
The proliferation of misleading news stories on social-media raised a big challenge due to its potential to create an adverse impact on human-being. Existing lexico-syntactic features are unable to detect counterfeit news. Most of the state of art algorithms used small datasets containing a limited number of the training dataset. In this paper, we evaluate our framework on the LIAR dataset by applying machine learning and advanced deep learning techniques. LIAR is a predominant dataset consist of 12,836 short news collected from different sources, including social media. The proposed framework uses POS (part of speech) tagging information and Glove Embedding. The result shows the superiority in terms of accuracy in comparison to the existing state of the art algorithm.
{"title":"Phony News Detection using Machine Learning and Deep-Learning Techniques","authors":"Sonal Garg, D. Sharma","doi":"10.1109/SMART50582.2020.9337120","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337120","url":null,"abstract":"The proliferation of misleading news stories on social-media raised a big challenge due to its potential to create an adverse impact on human-being. Existing lexico-syntactic features are unable to detect counterfeit news. Most of the state of art algorithms used small datasets containing a limited number of the training dataset. In this paper, we evaluate our framework on the LIAR dataset by applying machine learning and advanced deep learning techniques. LIAR is a predominant dataset consist of 12,836 short news collected from different sources, including social media. The proposed framework uses POS (part of speech) tagging information and Glove Embedding. The result shows the superiority in terms of accuracy in comparison to the existing state of the art algorithm.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121084271","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337133
Shadvala K. Sebastian
In this paper a path planning technique called particle swarm optimization and sliding mode control is described. Particle Swarm optimization (PSO) is a computational strategy that upgrades an issue by repeatedly attempting to improve an applicant solution with respect to a given proportion of value. Evaluation and detailed design of the Sliding Mode Control (SMC), utilizes a discontinuous controller is developed in two phases, i.e. reaching phase and sliding phase and it will be integrated with PID(proportional-integral-derivative). The sliding stage, represented by decreased order dynamics, provides some advantages in terms of parameters and disturbances such as invariance. PID controller is a mechanism in which uses feedback to evaluate the error and applies correction. Particle swarm optimization and sliding mode control are the unique technique that can be used to optimize the gain parameter. In addition, it has been noted that the reaching stage is vulnerable to unpredictability and disruption that may demean efficiency or even result in issues with stability in some delicate apps. Known for chattering eradication, the Smooth SMC (SSMC) does not match the sense of sliding methods. In this paper, the SSTA's novel Lyapunov function-based assessment is suggested and by virtue of cohesion new performance and robustness parameters are produced which include analytical phrases as selecting controller gains, setting time for the closed loop system, and stability boundaries for a class of unpredictability.
{"title":"Design of Sliding Mode Controller with Particle Swarm Optimization using Optimised PID Sliding","authors":"Shadvala K. Sebastian","doi":"10.1109/SMART50582.2020.9337133","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337133","url":null,"abstract":"In this paper a path planning technique called particle swarm optimization and sliding mode control is described. Particle Swarm optimization (PSO) is a computational strategy that upgrades an issue by repeatedly attempting to improve an applicant solution with respect to a given proportion of value. Evaluation and detailed design of the Sliding Mode Control (SMC), utilizes a discontinuous controller is developed in two phases, i.e. reaching phase and sliding phase and it will be integrated with PID(proportional-integral-derivative). The sliding stage, represented by decreased order dynamics, provides some advantages in terms of parameters and disturbances such as invariance. PID controller is a mechanism in which uses feedback to evaluate the error and applies correction. Particle swarm optimization and sliding mode control are the unique technique that can be used to optimize the gain parameter. In addition, it has been noted that the reaching stage is vulnerable to unpredictability and disruption that may demean efficiency or even result in issues with stability in some delicate apps. Known for chattering eradication, the Smooth SMC (SSMC) does not match the sense of sliding methods. In this paper, the SSTA's novel Lyapunov function-based assessment is suggested and by virtue of cohesion new performance and robustness parameters are produced which include analytical phrases as selecting controller gains, setting time for the closed loop system, and stability boundaries for a class of unpredictability.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281114","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 : 2020-12-04DOI: 10.1109/smart50582.2020.9337154
{"title":"Message Board [Messages from committee members and society officers]","authors":"","doi":"10.1109/smart50582.2020.9337154","DOIUrl":"https://doi.org/10.1109/smart50582.2020.9337154","url":null,"abstract":"","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055590","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337081
Keval Pipalia, Rahul Bhadja, M. Shukla
In the era of research where topics like Sentiment Analysis, NLP (natural language processing), Artificial Intelli- gence, Transfer learning are buzz words. Sentiment Analysis is a field which have proved its importance in day to day activities which could be related to monetary analysis, person's emotional count etc. With the introduction of Transformer based language models the field of NLP has got a huge attraction of researchers as well as practitioners. [16] [9] [6]. Using transfer learning with these models, have proved to give exceptional accuracy. Some of the State-of-the-art model includes BERT [16], DistilBERT, XLNet and T5. In this paper we have investigated the classification power of sentiments from pre-trained language models, e.g., BERT, XLnet. Specifically, we have simulated and presented number of experimental results which shows what amount of accuracy could be attained with different models. We have used most popular imdb-reviews dataset for doing analysis of the models
{"title":"Comparative Analysis of Different Transformer Based Architectures Used in Sentiment Analysis","authors":"Keval Pipalia, Rahul Bhadja, M. Shukla","doi":"10.1109/SMART50582.2020.9337081","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337081","url":null,"abstract":"In the era of research where topics like Sentiment Analysis, NLP (natural language processing), Artificial Intelli- gence, Transfer learning are buzz words. Sentiment Analysis is a field which have proved its importance in day to day activities which could be related to monetary analysis, person's emotional count etc. With the introduction of Transformer based language models the field of NLP has got a huge attraction of researchers as well as practitioners. [16] [9] [6]. Using transfer learning with these models, have proved to give exceptional accuracy. Some of the State-of-the-art model includes BERT [16], DistilBERT, XLNet and T5. In this paper we have investigated the classification power of sentiments from pre-trained language models, e.g., BERT, XLnet. Specifically, we have simulated and presented number of experimental results which shows what amount of accuracy could be attained with different models. We have used most popular imdb-reviews dataset for doing analysis of the models","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132362240","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337082
A. Yakovlev, S. Postupaeva, N. Fedorova, E.I. Sutulov
The article discusses the method of automated synthesis of technical solutions in the design of cooling systems with a liquid and gaseous working fluid at the stages of a technical proposal and a draft design. An information model of the physical principle of operation of cooling systems is presented, which contains the necessary and sufficient information to determine the functions of the structural elements of the cooling system. The formalised design procedures and information structures for building models of the physical principle of operation are described. The proposed method makes it possible to reduce the design time for cooling systems and improve the quality of design solutions by increasing the volume of processing of initial information.
{"title":"Increasing Labor Productivity in the Development of Technical Systems at the Initial Stages of Design through the Formalisation of Design Procedures","authors":"A. Yakovlev, S. Postupaeva, N. Fedorova, E.I. Sutulov","doi":"10.1109/SMART50582.2020.9337082","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337082","url":null,"abstract":"The article discusses the method of automated synthesis of technical solutions in the design of cooling systems with a liquid and gaseous working fluid at the stages of a technical proposal and a draft design. An information model of the physical principle of operation of cooling systems is presented, which contains the necessary and sufficient information to determine the functions of the structural elements of the cooling system. The formalised design procedures and information structures for building models of the physical principle of operation are described. The proposed method makes it possible to reduce the design time for cooling systems and improve the quality of design solutions by increasing the volume of processing of initial information.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133715139","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9336807
Sakshi Singh, J. Kumar
A triband microstrip patch antenna is investigated in this research paper. The simulated antenna shows its application in X band, Ku band and K band and it can be used for military applications, defence tracking and Satellite communication. The presented antenna is miniaturized and has the substrate size of 14.3 mm x14.3 mm with patch radius of 4.2 mm. Fr4 (εr=4.4) material is used for designing of substrate with the substrate height of 2mm. The proposed antenna is resonating at 9.528 GHz, 12.806 GHz and 19.173 GHz. The technique to feed the antenna is Microstrip line feeding. Four slits have been cut down on the patch so that the antenna can operate for triband applications. All the simulation work is done in Ansoft HFSS antenna simulation software.
本文研究了一种三带微带贴片天线。仿真天线显示了其在X波段、Ku波段和K波段的应用，可用于军事、国防跟踪和卫星通信。该天线是小型化的，基板尺寸为14.3 mm x14.3 mm，贴片半径为4.2 mm。衬底设计采用Fr4 (εr=4.4)材料，衬底高度为2mm。该天线谐振频率分别为9.528 GHz、12.806 GHz和19.173 GHz。天线的馈电技术是微带馈线。在贴片上减少了四个狭缝，以便天线可以用于三波段应用。所有仿真工作均在Ansoft HFSS天线仿真软件中完成。
{"title":"Miniaturized Triband Circular Patch Antenna for X Band, Ku Band and K Band Applications","authors":"Sakshi Singh, J. Kumar","doi":"10.1109/SMART50582.2020.9336807","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9336807","url":null,"abstract":"A triband microstrip patch antenna is investigated in this research paper. The simulated antenna shows its application in X band, Ku band and K band and it can be used for military applications, defence tracking and Satellite communication. The presented antenna is miniaturized and has the substrate size of 14.3 mm x14.3 mm with patch radius of 4.2 mm. Fr4 (εr=4.4) material is used for designing of substrate with the substrate height of 2mm. The proposed antenna is resonating at 9.528 GHz, 12.806 GHz and 19.173 GHz. The technique to feed the antenna is Microstrip line feeding. Four slits have been cut down on the patch so that the antenna can operate for triband applications. All the simulation work is done in Ansoft HFSS antenna simulation software.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131804145","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337097
R. Shukla, V. Prakash, Suman Pandey
In this, we provide the frontline Internet of Things (IoT), enabler of the newest oral communication class between humans and devices. A most crucial strength of the IoT concept is that the great have an impact on it is on manner via growing a change dimension to the world, pretty like what the online as soon as did. The paper pronounces the definitions of IoT, associated challenges, and discusses the usage of IoT in the various fields and day-to-day environments. The content material consists of the strengths and obstacles of purposes supported the IoT inactivity, transportation, healthcare, environment, and disaster.
{"title":"A Perspective on Internet of Things: Challenges & Applications","authors":"R. Shukla, V. Prakash, Suman Pandey","doi":"10.1109/SMART50582.2020.9337097","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337097","url":null,"abstract":"In this, we provide the frontline Internet of Things (IoT), enabler of the newest oral communication class between humans and devices. A most crucial strength of the IoT concept is that the great have an impact on it is on manner via growing a change dimension to the world, pretty like what the online as soon as did. The paper pronounces the definitions of IoT, associated challenges, and discusses the usage of IoT in the various fields and day-to-day environments. The content material consists of the strengths and obstacles of purposes supported the IoT inactivity, transportation, healthcare, environment, and disaster.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134201584","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 : 2020-12-04DOI: 10.1109/SMART50582.2020.9337067
Shambhavi Tripathi, P. Verma, G. Goswami
This paper briefly discusses about the new revolution in grid system i.e; ‘Smart Grid’. The evolution of smart grid development leads to energy autonomy, and sustainable economic growth. This technology will surely fulfil the dreams of Dr. A.P.J Abdul Kalam i.e; “Energy forever and energy for all”. Smart grid is a ‘system of system’ where it consists of three layers, (a) the power and energy level (b) the communication layer (c) the IT/computer layer. It provides the bidirectional flow of energy as well communication with consumers also. It also known as ‘Auto Healing System’. It brings the better energy utilisation with the great efficiency of grid system. It brings the overall integrity and security in the system with the concept of interconnected power system. It helps to estimate the real time electricity consumption with the help of smart meters, SCADA, intelligent controllers, photovoltaic materials, Nano materials, high current quantum wires etc. Here 9 research papers in the area of Smart Grid are reviewed and the validation table has been compiled.
本文简要讨论了电网系统的新革命，即;“智能电网”。智能电网发展的演进将带来能源自主和经济可持续增长。这项技术必将实现A.P.J Abdul Kalam博士的梦想，即;“永远有能源，人人有能源”。智能电网是一个“系统的系统”，它由三层组成，(a)电源和能级(b)通信层(c) it /计算机层。它提供了能量的双向流动以及与消费者的沟通。它也被称为“自动治疗系统”。它带来了更好的能源利用和电网系统的高效率。它以互联电力系统的概念带来了系统整体的完整性和安全性。借助智能电表、SCADA、智能控制器、光伏材料、纳米材料、大电流量子线等，帮助估算实时用电量。本文对智能电网领域的9篇研究论文进行综述，并编制验证表。
{"title":"A Review on SMART GRID Power System Network","authors":"Shambhavi Tripathi, P. Verma, G. Goswami","doi":"10.1109/SMART50582.2020.9337067","DOIUrl":"https://doi.org/10.1109/SMART50582.2020.9337067","url":null,"abstract":"This paper briefly discusses about the new revolution in grid system i.e; ‘Smart Grid’. The evolution of smart grid development leads to energy autonomy, and sustainable economic growth. This technology will surely fulfil the dreams of Dr. A.P.J Abdul Kalam i.e; “Energy forever and energy for all”. Smart grid is a ‘system of system’ where it consists of three layers, (a) the power and energy level (b) the communication layer (c) the IT/computer layer. It provides the bidirectional flow of energy as well communication with consumers also. It also known as ‘Auto Healing System’. It brings the better energy utilisation with the great efficiency of grid system. It brings the overall integrity and security in the system with the concept of interconnected power system. It helps to estimate the real time electricity consumption with the help of smart meters, SCADA, intelligent controllers, photovoltaic materials, Nano materials, high current quantum wires etc. Here 9 research papers in the area of Smart Grid are reviewed and the validation table has been compiled.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134161423","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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