Pub Date : 2018-12-30DOI: 10.12948/issn14531305/22.4.2018.05
Dan-Cristian Cearnău
The evolution of the Internet, the web development, the complexity of Internet businesses, as well as the volume of data and concurrent application users have determined IT&C specialists to design client/server applications on multiple layers, and on some cases even distributed solutions. The expansion of the Internet Service Providers networks and the accessibility of the Internet services have greatly increased the number of users that are using the Internet. This meant that new markets were opened for building new Internet businesses that rapidly grew in popularity. Because of the scaling issues generated by the large number of new users that are using Internet services, the IT&C specialists have developed solutions to share resources between companies in order to reduce operational costs. By scaling down internal resources and migrating their applications to cloud computing services, companies are cutting-down costs, increasing availability of their applications and increasing their security.
{"title":"Cloud Computing – Emerging Technology for Computational Services","authors":"Dan-Cristian Cearnău","doi":"10.12948/issn14531305/22.4.2018.05","DOIUrl":"https://doi.org/10.12948/issn14531305/22.4.2018.05","url":null,"abstract":"The evolution of the Internet, the web development, the complexity of Internet businesses, as well as the volume of data and concurrent application users have determined IT&C specialists to design client/server applications on multiple layers, and on some cases even distributed solutions. The expansion of the Internet Service Providers networks and the accessibility of the Internet services have greatly increased the number of users that are using the Internet. This meant that new markets were opened for building new Internet businesses that rapidly grew in popularity. Because of the scaling issues generated by the large number of new users that are using Internet services, the IT&C specialists have developed solutions to share resources between companies in order to reduce operational costs. By scaling down internal resources and migrating their applications to cloud computing services, companies are cutting-down costs, increasing availability of their applications and increasing their security.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91173560","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 : 2018-10-01DOI: 10.12948/ISSN14531305/22.4.2018.07
C. Silvestru, V. Ion, Corina Botez, Vasilica-Cristina Icociu
The ISCED classification used in education is the most important step in designing and constructing forecasts and prevision models. The very basis of the classification is applicable both on the formal education and on the non-formal education. While the education process nowadays is conducted in universities, there are many categories of education providers that choose e-learning platforms. To better understand how their trajectory can be correct, the present article sustains the idea that the ISCED classification points e-learning platforms in the right direction. This direction is meant to compress the education idea to basic competencies, skills and learning outcomes that the graduate can acquire during the education process. Using variables collected on the base of the ISCED classification and statistical distributions, we present the e-learning concept in Romania. The article is divided into two main sections. The first section focuses on e-learning platforms and the percentage of the population that used such platforms for education. The second section presents the inclusion of the ISCED classification in e-learning platforms. Using the ISCED classification, we can conclude that people with higher levels of education have a higher chance of using e-learning instruments.
{"title":"ISCED Classification Influence on E-Learning Education Systems","authors":"C. Silvestru, V. Ion, Corina Botez, Vasilica-Cristina Icociu","doi":"10.12948/ISSN14531305/22.4.2018.07","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.4.2018.07","url":null,"abstract":"The ISCED classification used in education is the most important step in designing and constructing forecasts and prevision models. The very basis of the classification is applicable both on the formal education and on the non-formal education. While the education process nowadays is conducted in universities, there are many categories of education providers that choose e-learning platforms. To better understand how their trajectory can be correct, the present article sustains the idea that the ISCED classification points e-learning platforms in the right direction. This direction is meant to compress the education idea to basic competencies, skills and learning outcomes that the graduate can acquire during the education process. Using variables collected on the base of the ISCED classification and statistical distributions, we present the e-learning concept in Romania. The article is divided into two main sections. The first section focuses on e-learning platforms and the percentage of the population that used such platforms for education. The second section presents the inclusion of the ISCED classification in e-learning platforms. Using the ISCED classification, we can conclude that people with higher levels of education have a higher chance of using e-learning instruments.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80760108","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 : 2018-10-01DOI: 10.12948/ISSN14531305/22.4.2018.01
M. Stoica, Marinela Mircea, B. Ghilic-Micu, C. Uscatu
One of the most visible domains of the last decade emerging technological explosion is education. In this paper we will analyze the educational field seen as an intelligent learning environment, in the context of a modern information and communication technology paradigm: fog & cloud computing. An intelligent educational environment built on the IoT (Internet of Things) ecosystem involves at least two dimensions: conceptual and functional. These aspects will be highlighted in this paper, identifying the intensity of cloud computing relations and fog computing – IoT, as global infrastructure for building an intelligent education environment. In the current economic, social and environmental conditions, developing an intelligent educational frame must take into account multiple aspects. Among them are critical factors, like legal frame, ecological dimension and quality insurance. Any intelligent educational frame must consider the environmental factors and converge towards and ecological structure, an eco-school.
{"title":"From a Smart Education Environment to an Eco-School through Fog & Cloud Computing in IoT Context","authors":"M. Stoica, Marinela Mircea, B. Ghilic-Micu, C. Uscatu","doi":"10.12948/ISSN14531305/22.4.2018.01","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.4.2018.01","url":null,"abstract":"One of the most visible domains of the last decade emerging technological explosion is education. In this paper we will analyze the educational field seen as an intelligent learning environment, in the context of a modern information and communication technology paradigm: fog & cloud computing. An intelligent educational environment built on the IoT (Internet of Things) ecosystem involves at least two dimensions: conceptual and functional. These aspects will be highlighted in this paper, identifying the intensity of cloud computing relations and fog computing – IoT, as global infrastructure for building an intelligent education environment. In the current economic, social and environmental conditions, developing an intelligent educational frame must take into account multiple aspects. Among them are critical factors, like legal frame, ecological dimension and quality insurance. Any intelligent educational frame must consider the environmental factors and converge towards and ecological structure, an eco-school.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79193550","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 : 2018-10-01DOI: 10.12948/issn14531305/22.4.2018.02
Marwan Ali Shnan, Taha H. Rassem
The emergence of larger databases has made image retrieval techniques an essential component, and has led to the development of more efficient image retrieval systems. Retrieval can be either content or text-based. In this paper, the focus is on the content-based image retrieval from the FGNET database. Input query images are subjected to several processing techniques in the database before computing the squared Euclidean distance (SED) between them. The images with the shortest Euclidean distance are considered as a match and are retrieved. The processing techniques involve the application of the median modified Weiner filter (MMWF), extraction of the low-level features using histogram-oriented gradients (HOG), discrete wavelet transform (DWT), GIST, and Local tetra pattern (LTrP). Finally, the features are selected using Viola-Jones algorithm. In this study, the average PSNR value obtained after applying Wiener filter was 45.29. The performance of the AGA was evaluated based on its precision, F-measure, and recall, and the obtained average values were respectively 0.75, 0.692, and 0.66. The performance matrix of the AGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its effi-ciency.
{"title":"Facial Image Retrieval on Semantic Features Using Adaptive Genetic Algorithm","authors":"Marwan Ali Shnan, Taha H. Rassem","doi":"10.12948/issn14531305/22.4.2018.02","DOIUrl":"https://doi.org/10.12948/issn14531305/22.4.2018.02","url":null,"abstract":"The emergence of larger databases has made image retrieval techniques an essential component, and has led to the development of more efficient image retrieval systems. Retrieval can be either content or text-based. In this paper, the focus is on the content-based image retrieval from the FGNET database. Input query images are subjected to several processing techniques in the database before computing the squared Euclidean distance (SED) between them. The images with the shortest Euclidean distance are considered as a match and are retrieved. The processing techniques involve the application of the median modified Weiner filter (MMWF), extraction of the low-level features using histogram-oriented gradients (HOG), discrete wavelet transform (DWT), GIST, and Local tetra pattern (LTrP). Finally, the features are selected using Viola-Jones algorithm. In this study, the average PSNR value obtained after applying Wiener filter was 45.29. The performance of the AGA was evaluated based on its precision, F-measure, and recall, and the obtained average values were respectively 0.75, 0.692, and 0.66. The performance matrix of the AGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its effi-ciency.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91336660","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 : 2018-10-01DOI: 10.12948/issn14531305/22.4.2018.08
Hesamaldin Hajialian, Cristian Toma
Nowadays the network security is a crucial issue and traditional intrusion detection systems are not a sufficient way. Hence the intelligent detection systems should have a major role in network security by taking into consideration to process the network big data and predict the anomalies behavior as fast as possible. In this paper, we implemented a well-known supervised algorithm Random Forest Classifier with Apache Spark on NSL-KDD dataset provided by the University of New Brunswick with the accuracy of 78.69% and 35.2% false negative ratio. Empirical results show this approach is well in order to use for intrusion detection system as well as we seeking the best number of trees to be used on Random Forest Classifier for getting higher accuracy and lower cost for the intrusion detection system.
{"title":"Network Anomaly Detection by Means of Machine Learning: Random Forest Approach with Apache Spark","authors":"Hesamaldin Hajialian, Cristian Toma","doi":"10.12948/issn14531305/22.4.2018.08","DOIUrl":"https://doi.org/10.12948/issn14531305/22.4.2018.08","url":null,"abstract":"Nowadays the network security is a crucial issue and traditional intrusion detection systems are not a sufficient way. Hence the intelligent detection systems should have a major role in network security by taking into consideration to process the network big data and predict the anomalies behavior as fast as possible. In this paper, we implemented a well-known supervised algorithm Random Forest Classifier with Apache Spark on NSL-KDD dataset provided by the University of New Brunswick with the accuracy of 78.69% and 35.2% false negative ratio. Empirical results show this approach is well in order to use for intrusion detection system as well as we seeking the best number of trees to be used on Random Forest Classifier for getting higher accuracy and lower cost for the intrusion detection system.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"27 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89688177","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 : 2018-10-01DOI: 10.12948/issn14531305/22.4.2018.03
Alexandru-Răzvan Florea, M. Roman
The level of widely used technology has tremendously increased in recent years, and the inter-net has genuinely reshaped the way we learn, communicate and live. As a result, social data availability, complexity, and diversity steadily grow. In the same time, the computational ma-chine power constantly unlocks opportunities to provide innovative techniques. By leveraging that power in statistics, powerful algorithms, such as neural networks, started to be applied in various fields. Image Processing has been a subject of broad interest and face recognition has been an essential part of this field in recent years. This paper aims to leverage all these resources to provide an overview of how social media data can be collected and analyzed using R. The result of this paper is represented by an innovative algorithm able to retrieve and analyze Twitter information. Moreover, this paper also provides a snapshot of the Romanian Twitter users’ demographics and mobility.
{"title":"Using Face Recognition with Twitter Data for the Study of International Migration","authors":"Alexandru-Răzvan Florea, M. Roman","doi":"10.12948/issn14531305/22.4.2018.03","DOIUrl":"https://doi.org/10.12948/issn14531305/22.4.2018.03","url":null,"abstract":"The level of widely used technology has tremendously increased in recent years, and the inter-net has genuinely reshaped the way we learn, communicate and live. As a result, social data availability, complexity, and diversity steadily grow. In the same time, the computational ma-chine power constantly unlocks opportunities to provide innovative techniques. By leveraging that power in statistics, powerful algorithms, such as neural networks, started to be applied in various fields. Image Processing has been a subject of broad interest and face recognition has been an essential part of this field in recent years. This paper aims to leverage all these resources to provide an overview of how social media data can be collected and analyzed using R. The result of this paper is represented by an innovative algorithm able to retrieve and analyze Twitter information. Moreover, this paper also provides a snapshot of the Romanian Twitter users’ demographics and mobility.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85062086","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 : 2018-09-30DOI: 10.12948/issn14531305/22.3.2018.08
Gabriela Mehedintu, R. Bere, C. Silvestru, Vasilica-Cristina Icociu
Optimization in terms of functionality, comfort and people’s safety, while also ensuring cost minimization may imply automation, including building automation, which can be achieved using Building Management System (BMS). This emerging area is yet to be explored and analyzed, with various approaches in practice, yet little scientific analyses available, especially in terms of system architecture. Based on most frequent functions encountered in office buildings from Romania, we propose a minimal web-based architecture for BMS using modular approach, which enables fast exchange of information among its various components and centralized surveillance of subsystems through minimal human operator intervention. The architecture proposed may be further developed so as to include additional functions in the respective type of building, moreover, such architecture may also be considered for use in buildings with other destinations, taking into account all the characteristics of each building.
{"title":"Web-Based Architecture for Building Management Systems","authors":"Gabriela Mehedintu, R. Bere, C. Silvestru, Vasilica-Cristina Icociu","doi":"10.12948/issn14531305/22.3.2018.08","DOIUrl":"https://doi.org/10.12948/issn14531305/22.3.2018.08","url":null,"abstract":"Optimization in terms of functionality, comfort and people’s safety, while also ensuring cost minimization may imply automation, including building automation, which can be achieved using Building Management System (BMS). This emerging area is yet to be explored and analyzed, with various approaches in practice, yet little scientific analyses available, especially in terms of system architecture. Based on most frequent functions encountered in office buildings from Romania, we propose a minimal web-based architecture for BMS using modular approach, which enables fast exchange of information among its various components and centralized surveillance of subsystems through minimal human operator intervention. The architecture proposed may be further developed so as to include additional functions in the respective type of building, moreover, such architecture may also be considered for use in buildings with other destinations, taking into account all the characteristics of each building.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85429546","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 : 2018-09-30DOI: 10.12948/ISSN14531305/22.3.2018.05
Cristian Toma, Marius Popa
Oil and Gas Industry is a very complex one where very specialized equipment, tools and assets are used. The last years, the trend within that industry is to integrate digital technologies in the oil and gas extraction processes as ICT performance has increased and the price has declined. As effect, the productivity of the industry has increased by using digital technologies as IoT, cloud computing, industrial internet, artificial intelligence, block-chain etc. This paper highlights IoT approaches and solutions that could be applied in the oil and gas industry in creating new value in information generated by IoT infrastructures by integration the sensor data, communication channels and data analytics. Large variety of IoT deployments and protocols raises the IoT security assurance way. In this sense, the paper provides security solutions and examples.
{"title":"IoT Security Approaches in Oil & Gas Solution Industry 4.0","authors":"Cristian Toma, Marius Popa","doi":"10.12948/ISSN14531305/22.3.2018.05","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.3.2018.05","url":null,"abstract":"Oil and Gas Industry is a very complex one where very specialized equipment, tools and assets are used. The last years, the trend within that industry is to integrate digital technologies in the oil and gas extraction processes as ICT performance has increased and the price has declined. As effect, the productivity of the industry has increased by using digital technologies as IoT, cloud computing, industrial internet, artificial intelligence, block-chain etc. This paper highlights IoT approaches and solutions that could be applied in the oil and gas industry in creating new value in information generated by IoT infrastructures by integration the sensor data, communication channels and data analytics. Large variety of IoT deployments and protocols raises the IoT security assurance way. In this sense, the paper provides security solutions and examples.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78298503","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 : 2018-09-30DOI: 10.12948/ISSN14531305/22.3.2018.03
Dragos-Marian Smada, Carmen Rotuna, Radu Boncea, I. Petre
Automation in testing user interfaces is a prerequisite for overcoming the major weaknesses of manual testing, such as time consumption, not being able to reproduce the sequence that generates a bug or the tendency to repeat only the successful steps. Continuous testing represents an important step in the agile software development cycle because any features and changes added to the code need to be checked before their propagation to production environment. Manually testing is a resource and time-consuming process thus the solution would be to make the entire workflow from committing a change to publishing a new release completely automated. The solution proposed within this paper is a framework for automated code testing and bug prevention that relies on Selenium, a framework supporting also headless testing, integrated with a Continuous Integration (CI) server such as Jenkins.
{"title":"Automated Code Testing System for Bug Prevention in Web-based User Interfaces","authors":"Dragos-Marian Smada, Carmen Rotuna, Radu Boncea, I. Petre","doi":"10.12948/ISSN14531305/22.3.2018.03","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.3.2018.03","url":null,"abstract":"Automation in testing user interfaces is a prerequisite for overcoming the major weaknesses of manual testing, such as time consumption, not being able to reproduce the sequence that generates a bug or the tendency to repeat only the successful steps. Continuous testing represents an important step in the agile software development cycle because any features and changes added to the code need to be checked before their propagation to production environment. Manually testing is a resource and time-consuming process thus the solution would be to make the entire workflow from committing a change to publishing a new release completely automated. The solution proposed within this paper is a framework for automated code testing and bug prevention that relies on Selenium, a framework supporting also headless testing, integrated with a Continuous Integration (CI) server such as Jenkins.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80442692","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 : 2018-09-30DOI: 10.12948/ISSN14531305/22.3.2018.02
C. Isar
Coming from the 2D and 3D games that everybody is very familiar with, these days the world has been taken by storm with the introduction of virtual reality technology. In this paper I covered the essence of this new empowering technology through things like: a short representative definition and classification, the hardware requirements for stepping into the VR world, and the most important aspect which is the applicability of this technology in the society that we live in. Also, the main purpose of this paper was to identify which VR game engine a beginner should be using for their first project. Through the research that has been done in this article, I come to the conclusion that the most suitable game engine in this case is Unity. To further prove my statement, I developed a small project that consists of a 3D VR maze which shows how easy it is to learn and develop using Unity.
{"title":"A Glance into Virtual Reality Development Using Unity","authors":"C. Isar","doi":"10.12948/ISSN14531305/22.3.2018.02","DOIUrl":"https://doi.org/10.12948/ISSN14531305/22.3.2018.02","url":null,"abstract":"Coming from the 2D and 3D games that everybody is very familiar with, these days the world has been taken by storm with the introduction of virtual reality technology. In this paper I covered the essence of this new empowering technology through things like: a short representative definition and classification, the hardware requirements for stepping into the VR world, and the most important aspect which is the applicability of this technology in the society that we live in. Also, the main purpose of this paper was to identify which VR game engine a beginner should be using for their first project. Through the research that has been done in this article, I come to the conclusion that the most suitable game engine in this case is Unity. To further prove my statement, I developed a small project that consists of a 3D VR maze which shows how easy it is to learn and develop using Unity.","PeriodicalId":53248,"journal":{"name":"Informatica economica","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87676771","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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