Pub Date : 2018-02-01DOI: 10.1109/ICCMC.2018.8487574
P. S. Puhan, S. Sandeep, G. Kumar
Performance Improvement of Shunt active Power filter using different control techniques is an important research area in the recent age. This paper explores the effectiveness of Radial Basis Function Neural Network controller filtering technique in Conjunction with indirect current controller and proportional Integral. Extensive simulation studies under steady state condition are conducted with the proposed control Techniques, which proves the effectiveness of RBF controller, To validate the results obtained, Control technique is verified through real time application using fast processor d-SPACE1104.
{"title":"RBF Neural Network Controller In Shunt Active Power Filter","authors":"P. S. Puhan, S. Sandeep, G. Kumar","doi":"10.1109/ICCMC.2018.8487574","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487574","url":null,"abstract":"Performance Improvement of Shunt active Power filter using different control techniques is an important research area in the recent age. This paper explores the effectiveness of Radial Basis Function Neural Network controller filtering technique in Conjunction with indirect current controller and proportional Integral. Extensive simulation studies under steady state condition are conducted with the proposed control Techniques, which proves the effectiveness of RBF controller, To validate the results obtained, Control technique is verified through real time application using fast processor d-SPACE1104.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"18 1","pages":"190-194"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81473849","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8488006
Hetuk Trivedi, P. Bindu, P. S. Thilagam
Information provenance problem is an important and challenging problem in social network analysis and it deals with identifying the origin or source of information spread in a social network. In this paper, an approach for detecting the source of an information spread as well as suspicious anomalous paths in a social network is proposed. An anomalous path is a sequence of nodes that propagates an anomalous information to the given destination nodes who cause an anomalous event. The proposed approach is based on attribute-based anomalies and information cascading technique. The anomalous paths are identified in two steps. The first step assigns an anomalous score to each and every vertex in the given graph based on suspicious attributes. The second step detects the source and suspicious anomalous paths in the network using the anomaly scores. The approach is tested on datasets such as Enron and Facebook to demonstrate its effectiveness. Detecting anomalous paths is useful in several applications including identifying terrorist attacks communication path, disease spreading pattern, and match-fixing hidden path between bookie and a cricketer.
{"title":"Identifying Provenance of Information and Anomalous Paths in Attributed Social Networks","authors":"Hetuk Trivedi, P. Bindu, P. S. Thilagam","doi":"10.1109/ICCMC.2018.8488006","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8488006","url":null,"abstract":"Information provenance problem is an important and challenging problem in social network analysis and it deals with identifying the origin or source of information spread in a social network. In this paper, an approach for detecting the source of an information spread as well as suspicious anomalous paths in a social network is proposed. An anomalous path is a sequence of nodes that propagates an anomalous information to the given destination nodes who cause an anomalous event. The proposed approach is based on attribute-based anomalies and information cascading technique. The anomalous paths are identified in two steps. The first step assigns an anomalous score to each and every vertex in the given graph based on suspicious attributes. The second step detects the source and suspicious anomalous paths in the network using the anomaly scores. The approach is tested on datasets such as Enron and Facebook to demonstrate its effectiveness. Detecting anomalous paths is useful in several applications including identifying terrorist attacks communication path, disease spreading pattern, and match-fixing hidden path between bookie and a cricketer.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"14 1","pages":"914-919"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82302986","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}
Linked Data has emerged as a popular method for representing structured data. One of the prime aims is to convert today’s web of documents into a web of data where the data is machine-readable as well as processable. This research paper focuses on the data mining techniques used for mining the raw data. However, these techniques are cumbersome and can be optimized using Linked Data. Hence, we discuss the data mining techniques with Linked Data that may play a pivotal role in future in extracting meaningful information from unstructured or semi-structured data.
{"title":"Data Mining with Linked Data: Past, Present, and Future","authors":"Rohit Beniwal, Vikas Gupta, Manish Rawat, Rishabh Aggarwal","doi":"10.1109/ICCMC.2018.8487861","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487861","url":null,"abstract":"Linked Data has emerged as a popular method for representing structured data. One of the prime aims is to convert today’s web of documents into a web of data where the data is machine-readable as well as processable. This research paper focuses on the data mining techniques used for mining the raw data. However, these techniques are cumbersome and can be optimized using Linked Data. Hence, we discuss the data mining techniques with Linked Data that may play a pivotal role in future in extracting meaningful information from unstructured or semi-structured data.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"39 1","pages":"1031-1035"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82327771","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8487765
Subasish Mohapatra, Ishan Aryendu, Anshuman Panda, A. K. Padhi
Load Balancing plays a dynamic role in keeping the tempo of the Cloud Computing framework. This research paper proposes a Forest Optimization Algorithm for load balancing in distributed computing structure. This depends on the conduct of the trees in the forest and uses the seed dispersal strategies for streamlining the makespan, which results in improved average response time and the total execution time. The simulation results prove that the proposed algorithm gives better outcomes than its counterpart load balancing algorithms.
{"title":"A Modern Approach for Load Balancing Using Forest Optimization Algorithm","authors":"Subasish Mohapatra, Ishan Aryendu, Anshuman Panda, A. K. Padhi","doi":"10.1109/ICCMC.2018.8487765","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487765","url":null,"abstract":"Load Balancing plays a dynamic role in keeping the tempo of the Cloud Computing framework. This research paper proposes a Forest Optimization Algorithm for load balancing in distributed computing structure. This depends on the conduct of the trees in the forest and uses the seed dispersal strategies for streamlining the makespan, which results in improved average response time and the total execution time. The simulation results prove that the proposed algorithm gives better outcomes than its counterpart load balancing algorithms.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"85-90"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90385415","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 : 2018-02-01DOI: 10.1109/iccmc.2018.8487620
Diksha N. Prabhu Khorjuvenkar, Megha Ainapurkar, S. Chagas
It is remarkable to note that the scope of Natural Language Processing (NLP) is developing and increasing in the area of text mining. Natural Language Processing is a field that covers computer understanding and deals with manipulation of human language. Human language is an unstructured source of information, and hence to use it, as an input to a computer program, it has to be, first, converted into a structured format [3]. Parts of Speech (POS) tagging is one of the steps which assigns a particular part of speech to a respective word. POS is difficult because most words tend to have more than one parts of speech in different cases and some parts of speech are complex or unspoken. This paper aims at developing part of speech tagging model for Konkani language, using the Konkani corpus.
{"title":"PARTS OF SPEECH TAGGING FOR KONKANI LANGUAGE","authors":"Diksha N. Prabhu Khorjuvenkar, Megha Ainapurkar, S. Chagas","doi":"10.1109/iccmc.2018.8487620","DOIUrl":"https://doi.org/10.1109/iccmc.2018.8487620","url":null,"abstract":"It is remarkable to note that the scope of Natural Language Processing (NLP) is developing and increasing in the area of text mining. Natural Language Processing is a field that covers computer understanding and deals with manipulation of human language. Human language is an unstructured source of information, and hence to use it, as an input to a computer program, it has to be, first, converted into a structured format [3]. Parts of Speech (POS) tagging is one of the steps which assigns a particular part of speech to a respective word. POS is difficult because most words tend to have more than one parts of speech in different cases and some parts of speech are complex or unspoken. This paper aims at developing part of speech tagging model for Konkani language, using the Konkani corpus.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"36 1","pages":"605-607"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85209946","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8487472
S. Saif, A. Wahid
Web based services are becoming more ubiquitous. The ease-in access and the availability of web applications have increased the volume of the users who routinely access web for diverse functionality. Most of the organisations have endorsed web applications over traditional applications as a medium to deliver and offer their diverse services. With the increasing demand, the complexity of web application development has increased proportionally. The most important and critical component in web project management is to develop web projects on time and within budget. Accurate budget estimates have positive and productive impact on project management. Accuracy in estimated web efforts have direct and deeper influence on development industry. It is mandatory for any development industry to ensure accuracy and effectiveness in their web effort estimation process. This helps project management to acquire and retain good customer base and reputation among the other competing companies. This paper is an attempt to study the impact and effectiveness of function points(FP) and web objects(WO) on web size and consequently on web efforts estimation. A dataset of ten industrial web projects were used and it was observed that size estimated by using WO was more than FP in most of the projects however, the effort in most of the projects calculated by using WO were significantly better in comparison to FP.
{"title":"Web Effort Estimation Using FP and WO: A Critical Study","authors":"S. Saif, A. Wahid","doi":"10.1109/ICCMC.2018.8487472","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487472","url":null,"abstract":"Web based services are becoming more ubiquitous. The ease-in access and the availability of web applications have increased the volume of the users who routinely access web for diverse functionality. Most of the organisations have endorsed web applications over traditional applications as a medium to deliver and offer their diverse services. With the increasing demand, the complexity of web application development has increased proportionally. The most important and critical component in web project management is to develop web projects on time and within budget. Accurate budget estimates have positive and productive impact on project management. Accuracy in estimated web efforts have direct and deeper influence on development industry. It is mandatory for any development industry to ensure accuracy and effectiveness in their web effort estimation process. This helps project management to acquire and retain good customer base and reputation among the other competing companies. This paper is an attempt to study the impact and effectiveness of function points(FP) and web objects(WO) on web size and consequently on web efforts estimation. A dataset of ten industrial web projects were used and it was observed that size estimated by using WO was more than FP in most of the projects however, the effort in most of the projects calculated by using WO were significantly better in comparison to FP.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"174 1","pages":"357-361"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79578501","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8487476
Ishu Gupta, O. P. Sahu
With the emerging new license-exempt wireless devices, the problem of spectrum scarcity has become a major concern. Cognitive Radio is a new technology that is widely studied nowadays to prevent the problem of spectrum shortage and its underutilization. The main task to implement this technology lies in sensing the available free spectrum. Most of the present research revolves around spectrum sensing in Cognitive radio Network (CRN). However, due to dynamic nature of Cognitive Radio technology, it suffers from various security threats. In this paper, one such attack named as Primary User Emulation Attack (PUEA) that degrades the performance of CRNs drastically is reviewed. Also, future scope and challenges are discussed.
{"title":"An Overview of Primary User Emulation Attack in Cognitive Radio Networks","authors":"Ishu Gupta, O. P. Sahu","doi":"10.1109/ICCMC.2018.8487476","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487476","url":null,"abstract":"With the emerging new license-exempt wireless devices, the problem of spectrum scarcity has become a major concern. Cognitive Radio is a new technology that is widely studied nowadays to prevent the problem of spectrum shortage and its underutilization. The main task to implement this technology lies in sensing the available free spectrum. Most of the present research revolves around spectrum sensing in Cognitive radio Network (CRN). However, due to dynamic nature of Cognitive Radio technology, it suffers from various security threats. In this paper, one such attack named as Primary User Emulation Attack (PUEA) that degrades the performance of CRNs drastically is reviewed. Also, future scope and challenges are discussed.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"81 12","pages":"27-31"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91437713","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8487839
D. Gajbhiye, Kavita Joshi, Madana Mekala
In oyster mushroom cultivation process, the temperature and the humidity are very important parameter for the growth of mushroom. Controlling temperature and humidity are very delicate task because cultivation space remains stable at temperatures range between 22 -28 ° C and humidity 60-90 %. For accurate measurement of temperature and humidity we are proposing a project in which the values of the humidity and temperature are given to the Arduino through serial communication and the ANN is used for decision making of DC FAN and Mist Maker which are basically used to control temperature and Humidity respectively. The aim of this system is to control the temperature and humidity automatically in mushroom cultivation plant.
{"title":"Temperature & Humidity Control By Using Neural Network For Oyster Mushroom Cultivation","authors":"D. Gajbhiye, Kavita Joshi, Madana Mekala","doi":"10.1109/ICCMC.2018.8487839","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487839","url":null,"abstract":"In oyster mushroom cultivation process, the temperature and the humidity are very important parameter for the growth of mushroom. Controlling temperature and humidity are very delicate task because cultivation space remains stable at temperatures range between 22 -28 ° C and humidity 60-90 %. For accurate measurement of temperature and humidity we are proposing a project in which the values of the humidity and temperature are given to the Arduino through serial communication and the ANN is used for decision making of DC FAN and Mist Maker which are basically used to control temperature and Humidity respectively. The aim of this system is to control the temperature and humidity automatically in mushroom cultivation plant.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"17 1","pages":"135-139"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90523492","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8488038
Khalid Al-Omar
Learning management systems (LMSs) provide integrated platforms of various technologies to support instructors and students. Usability evaluation is an essential factor to measure how well technology works for users. The aim of this study is to examine the usability of the LMS in King Abdulaziz University by using some pre-defined usability standards, such as a system usability scale (SUS) questionnaire. A further investigation used data mining techniques (sentiment analysis and clustering) in order to find out the details of any usability problems. The results show that distance education students suffer the most, followed by external students. On the other hand, instructors seem to have a less negative attitude than students towards Blackboard. Overall, the usability of LMSs at KAU is inadequate and needs to be enhanced for all types of users by customising blackboard according to each group.
{"title":"Evaluating the Usability and Learnability of the \"Blackboard\" LMS Using SUS and Data Mining","authors":"Khalid Al-Omar","doi":"10.1109/ICCMC.2018.8488038","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8488038","url":null,"abstract":"Learning management systems (LMSs) provide integrated platforms of various technologies to support instructors and students. Usability evaluation is an essential factor to measure how well technology works for users. The aim of this study is to examine the usability of the LMS in King Abdulaziz University by using some pre-defined usability standards, such as a system usability scale (SUS) questionnaire. A further investigation used data mining techniques (sentiment analysis and clustering) in order to find out the details of any usability problems. The results show that distance education students suffer the most, followed by external students. On the other hand, instructors seem to have a less negative attitude than students towards Blackboard. Overall, the usability of LMSs at KAU is inadequate and needs to be enhanced for all types of users by customising blackboard according to each group.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"9 1","pages":"386-390"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80172791","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 : 2018-02-01DOI: 10.1109/ICCMC.2018.8487760
S. Revathi, M. Suriakala
The last few years have witnessed a very fast-paced growth in the user base and activities of Online Social Networks (OSN). Their growth is attributed to the trust that they have received from people. People engage in social networks to make friends, chat, upload and like photos, update their status, and post comments. The use of social networks causes users to think less about the related security and privacy concerns in terms of OSNs. Trusting social networks leads to serious privacy concerns. Users disclose their information voluntarily, not knowing who exactly is going to access or use their data. They are less concerned about how safe their private information is, as they are more interested in meeting different people from across the globe. Their desire to connect with their family, friends, and virtual friends is apparent from their use of OSNs. The widespread use of social networks has also given rise to widespread impersonation. It is difficult to find a feasible solution to help counteract the negative consequences of this problem. This paper discusses the reasons behind information leaks, particularly, the way in which OSNs contribute to the intelligence used by hackers. A number of security measures for organizations are also included in the paper, to help them combat the activities related to leakage of information with respect to OSNs. It also identifies the future direction in terms of in-depth research in the fields by establishing a culture of security and implementing behavioral change. The Description Logic Rule Generation algorithm is proposed in the paper to be able to find and analyze the nature of vulnerabilities and attackers. The algorithm identifies vulnerable users on the basis of a sharing threshold. The users are removed in case they cross the threshold values. The paper also presents the security analysis of results of the OSNs popularity among users.
{"title":"AN INTELLIGENT AND NOVEL ALGORITHM FOR SECURING VULNERABLE USERS OF ONLINE SOCIAL NETWORK","authors":"S. Revathi, M. Suriakala","doi":"10.1109/ICCMC.2018.8487760","DOIUrl":"https://doi.org/10.1109/ICCMC.2018.8487760","url":null,"abstract":"The last few years have witnessed a very fast-paced growth in the user base and activities of Online Social Networks (OSN). Their growth is attributed to the trust that they have received from people. People engage in social networks to make friends, chat, upload and like photos, update their status, and post comments. The use of social networks causes users to think less about the related security and privacy concerns in terms of OSNs. Trusting social networks leads to serious privacy concerns. Users disclose their information voluntarily, not knowing who exactly is going to access or use their data. They are less concerned about how safe their private information is, as they are more interested in meeting different people from across the globe. Their desire to connect with their family, friends, and virtual friends is apparent from their use of OSNs. The widespread use of social networks has also given rise to widespread impersonation. It is difficult to find a feasible solution to help counteract the negative consequences of this problem. This paper discusses the reasons behind information leaks, particularly, the way in which OSNs contribute to the intelligence used by hackers. A number of security measures for organizations are also included in the paper, to help them combat the activities related to leakage of information with respect to OSNs. It also identifies the future direction in terms of in-depth research in the fields by establishing a culture of security and implementing behavioral change. The Description Logic Rule Generation algorithm is proposed in the paper to be able to find and analyze the nature of vulnerabilities and attackers. The algorithm identifies vulnerable users on the basis of a sharing threshold. The users are removed in case they cross the threshold values. The paper also presents the security analysis of results of the OSNs popularity among users.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"22 1","pages":"214-219"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78378740","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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