Energy demand forecasting is of great importance in the management of power systems. In this paper artificial neural network technique (ANN) and multiple linear regressions method is used for forecasting the load curve. Algorithms using these techniques have been programmed using MATLAB and applied to the case study. The efficiency of both the model is determined from the load curve and the load is predicted as a testing sample.
{"title":"Short Term Load Forecasting Using ANN and Multiple Linear Regression","authors":"Sharad Kumar, Shashank Mishra, Shashank Gupta","doi":"10.1109/CICT.2016.44","DOIUrl":"https://doi.org/10.1109/CICT.2016.44","url":null,"abstract":"Energy demand forecasting is of great importance in the management of power systems. In this paper artificial neural network technique (ANN) and multiple linear regressions method is used for forecasting the load curve. Algorithms using these techniques have been programmed using MATLAB and applied to the case study. The efficiency of both the model is determined from the load curve and the load is predicted as a testing sample.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748524","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}
Big data analytics is the analysis of huge data sets having large volume, variety, and velocity. This data proves to be beneficial if it is analyzed properly. The analysis of such large datasets gives considerably big reports as a result which are again difficult to interpret. But for effective decision making, the results much be specific and precise. So to give a new and better way to analytical results the novel approach is to visualize the results in the form of charts and graphs. As human mind perceives the images and graphs much better and faster than simple text reports, this approach helps a lot in decision making. We are presenting an efficient data visualization tool to explore the dimensions of big data analytics and helping out the decision makers by providing better results to support their decision making process in efficient and effective way.
{"title":"Visualization: A Novel Approach for Big Data Analytics","authors":"O. Kumar, Abhishek Goyal","doi":"10.1109/CICT.2016.32","DOIUrl":"https://doi.org/10.1109/CICT.2016.32","url":null,"abstract":"Big data analytics is the analysis of huge data sets having large volume, variety, and velocity. This data proves to be beneficial if it is analyzed properly. The analysis of such large datasets gives considerably big reports as a result which are again difficult to interpret. But for effective decision making, the results much be specific and precise. So to give a new and better way to analytical results the novel approach is to visualize the results in the form of charts and graphs. As human mind perceives the images and graphs much better and faster than simple text reports, this approach helps a lot in decision making. We are presenting an efficient data visualization tool to explore the dimensions of big data analytics and helping out the decision makers by providing better results to support their decision making process in efficient and effective way.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"1996 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372716","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}
In the field of Digital Image Processing Content Based Image Retrieval is becoming very popular. Google and Yahoo have tools on Digital Image Processing. They are known to be Google Images and Yahoo! Images Search. They are based on textual annotation of images. In textual annotations with the help of keywords images are retrieved. This is not very much effective approach as their performances are not satisfactory. The content based Image retrieval is based on automatic extraction of content based on color, texture, etc. The focus of this report is to tell about the obstacles in development of Content Based Image Retrieval which is based on free hand sketch(Sketch Based Image Retrieval). The focus will be to try and create task specific descriptor to handle informational gap that exists between coloured images and sketches which will give opportunity for effective search. The descriptor is constructed after such special sequence of pre-processing steps that the sketch and transformed images can be compared. EHD, HOG and SIFT are the topics that we have covered. Overall, Results have shown that sketch based system allows intuitive access to search tools. Digital Libraries, Crime prevention, Photo sharing websites, etc are some of the targets applications where SBIR can work. Identifying victims in forensics and law enforcements or apprehending suspects can be great value for this system. Matching a sketch of cup shot can be a good example in forensics. Sketching or visual content of querying a picture and then returning an image is intensified recently, In the area of image processing it will require a wide methodology spectrum.
在数字图像处理领域，基于内容的图像检索正变得越来越流行。谷歌和雅虎都有数字图像处理工具。他们是众所周知的谷歌图片和雅虎!图片搜索。它们是基于图像的文本注释。在文本注释中，借助于关键字检索图像。这不是很有效的方法，因为他们的表现并不令人满意。基于内容的图像检索是基于颜色、纹理等对图像内容进行自动提取。本报告的重点是讲述基于手绘草图的基于内容的图像检索(sketch Based Image Retrieval)在发展中的障碍。重点将是尝试和创建任务特定的描述符来处理存在于彩色图像和草图之间的信息差距，这将为有效搜索提供机会。描述符是在经过特殊的预处理步骤序列之后构造的，这样可以比较草图和变换后的图像。EHD, HOG和SIFT是我们讨论的主题。总体而言，结果表明基于草图的系统可以直观地访问搜索工具。数字图书馆、预防犯罪、照片分享网站等都是SBIR可以发挥作用的目标应用。在取证和执法或逮捕嫌疑人中识别受害者可能对该系统有很大价值。比对杯状射击的草图在法医鉴定中是个很好的例子。摘要在图像处理领域中，绘制或可视化内容查询图像并返回图像是近年来研究的热点。
{"title":"Sketch Based Image Retrieval Using Watershed Transformation","authors":"Sugnadha Agarwal, Ridhi Sharma, Rashmi Dubey","doi":"10.1109/CICT.2016.39","DOIUrl":"https://doi.org/10.1109/CICT.2016.39","url":null,"abstract":"In the field of Digital Image Processing Content Based Image Retrieval is becoming very popular. Google and Yahoo have tools on Digital Image Processing. They are known to be Google Images and Yahoo! Images Search. They are based on textual annotation of images. In textual annotations with the help of keywords images are retrieved. This is not very much effective approach as their performances are not satisfactory. The content based Image retrieval is based on automatic extraction of content based on color, texture, etc. The focus of this report is to tell about the obstacles in development of Content Based Image Retrieval which is based on free hand sketch(Sketch Based Image Retrieval). The focus will be to try and create task specific descriptor to handle informational gap that exists between coloured images and sketches which will give opportunity for effective search. The descriptor is constructed after such special sequence of pre-processing steps that the sketch and transformed images can be compared. EHD, HOG and SIFT are the topics that we have covered. Overall, Results have shown that sketch based system allows intuitive access to search tools. Digital Libraries, Crime prevention, Photo sharing websites, etc are some of the targets applications where SBIR can work. Identifying victims in forensics and law enforcements or apprehending suspects can be great value for this system. Matching a sketch of cup shot can be a good example in forensics. Sketching or visual content of querying a picture and then returning an image is intensified recently, In the area of image processing it will require a wide methodology spectrum.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":" 87","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113948681","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}
Classical wireless communication technologies are threatened with so many challenges for meeting the desires of ubiquity and mobility for the cellular systems. Hostile wireless channels features and restricted frequency bandwidths are obstacles in future generation systems. In order to deal with these limitations, different advanced signal processing approaches, such as expectation-maximization (EM) algorithm, SAGE algorithm, Baum-Welch algorithm, Kalman filters and their extensions etc. were proposed. In this paper, estimation of unknown channel parameter and detection of data at receiver end has been performed. MIMO Rayleigh and Rician channels are taken for wireless communication. To find the initial point for EM algorithm FCM clustering algorithm is used. In this work, algorithm is implemented using MATLAB R2012a. The performance matrices of the algorithm are bit error rate (BER) and mean square error (MSE) at different values of signal to noise ratio.
{"title":"Channel Estimation and Data Detection with Fuzzy C-Means Based EM Approach in MIMO System","authors":"Kirti Dasani, Anshul Shrotriya","doi":"10.1109/CICT.2016.116","DOIUrl":"https://doi.org/10.1109/CICT.2016.116","url":null,"abstract":"Classical wireless communication technologies are threatened with so many challenges for meeting the desires of ubiquity and mobility for the cellular systems. Hostile wireless channels features and restricted frequency bandwidths are obstacles in future generation systems. In order to deal with these limitations, different advanced signal processing approaches, such as expectation-maximization (EM) algorithm, SAGE algorithm, Baum-Welch algorithm, Kalman filters and their extensions etc. were proposed. In this paper, estimation of unknown channel parameter and detection of data at receiver end has been performed. MIMO Rayleigh and Rician channels are taken for wireless communication. To find the initial point for EM algorithm FCM clustering algorithm is used. In this work, algorithm is implemented using MATLAB R2012a. The performance matrices of the algorithm are bit error rate (BER) and mean square error (MSE) at different values of signal to noise ratio.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649568","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}
The choice of weight initialization routines is one of the important choices to be made for improving the training efficiency of an artificial neural network. In this paper, we analyze the affect of many known weight initialization routines, on training of an artificial neural network, when it was trained with a second order scaled conjugate gradient training algorithm. A number of experiments were conducted to perform this analysis over eight selected function approximation problems. The results suggest that the partially deterministic weight initialization method and the Nguyen-Widrow initialization technique performed equally well and helped the network train and generalize better by achieving better training and simulation error values.
{"title":"Analysis of Weight Initialization Routines for Scaled Conjugate Gradient Training Algorithm","authors":"S. Masood, M. N. Doja, Pravin Chandra","doi":"10.1109/CICT.2016.111","DOIUrl":"https://doi.org/10.1109/CICT.2016.111","url":null,"abstract":"The choice of weight initialization routines is one of the important choices to be made for improving the training efficiency of an artificial neural network. In this paper, we analyze the affect of many known weight initialization routines, on training of an artificial neural network, when it was trained with a second order scaled conjugate gradient training algorithm. A number of experiments were conducted to perform this analysis over eight selected function approximation problems. The results suggest that the partially deterministic weight initialization method and the Nguyen-Widrow initialization technique performed equally well and helped the network train and generalize better by achieving better training and simulation error values.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511816","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}
Microwave filters since a long time have been an integral part of the radar and the telecommunication systems. Designing better and more accurate filters is the major requirement for the various possible communication techniques like the LTE (Long Term Evaluation) system and WiMAX systems. This paper aims to design microstrip bandpass filters for Parallel - Edge Coupled Line Filter and Interdigital Filter configurations for the frequency of 2.5 GHz used for LTE systems. For microstrip implementation, substrate Rogers TMM10 is used for both designs. The filters have been designed on the ADS software. The final conclusions have been drawn by analysing various performance parameters such as return loss, insertion loss, 3-dB bandwidth etc and found very much acceptable for applications.
{"title":"Design and Performance Analysis of 2.5 GHz Microstrip Bandpass Filter for LTE","authors":"Shiv Taneja, Jimmy Gautam, J. Sharma","doi":"10.1109/CICT.2016.114","DOIUrl":"https://doi.org/10.1109/CICT.2016.114","url":null,"abstract":"Microwave filters since a long time have been an integral part of the radar and the telecommunication systems. Designing better and more accurate filters is the major requirement for the various possible communication techniques like the LTE (Long Term Evaluation) system and WiMAX systems. This paper aims to design microstrip bandpass filters for Parallel - Edge Coupled Line Filter and Interdigital Filter configurations for the frequency of 2.5 GHz used for LTE systems. For microstrip implementation, substrate Rogers TMM10 is used for both designs. The filters have been designed on the ADS software. The final conclusions have been drawn by analysing various performance parameters such as return loss, insertion loss, 3-dB bandwidth etc and found very much acceptable for applications.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323996","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}
This paper describes use of ecommerce for easy crawling of information on an ecommerce website. As ecommerce has become an essential part in people's day-to-day activities of this modernized world. Searching & surfing data for ecommerce activity becomes tedious as lot many options & websites for single entity of ecommerce is presented before user. Internet is a huge set of database were many irrelevant data of no choice to particular task of user exist. In this paper we have designed a basic ontology of ecommerce along with its superclass & subclass as well as its siblings. This crawler design named ECOMMTOLOGY is an Ontology based Ecommerce application. Hence, we have classified ecommerce into hierarchy of business-to-business and business-to-consumer modules. The Ecommerce based ontology specifies each product details by searching, storing and retrieving user log details.
{"title":"Ontology Based Product Information Retrieval Ecommtology","authors":"N. Sharma, A. Khamparia, Babita Pandey","doi":"10.1109/CICT.2016.130","DOIUrl":"https://doi.org/10.1109/CICT.2016.130","url":null,"abstract":"This paper describes use of ecommerce for easy crawling of information on an ecommerce website. As ecommerce has become an essential part in people's day-to-day activities of this modernized world. Searching & surfing data for ecommerce activity becomes tedious as lot many options & websites for single entity of ecommerce is presented before user. Internet is a huge set of database were many irrelevant data of no choice to particular task of user exist. In this paper we have designed a basic ontology of ecommerce along with its superclass & subclass as well as its siblings. This crawler design named ECOMMTOLOGY is an Ontology based Ecommerce application. Hence, we have classified ecommerce into hierarchy of business-to-business and business-to-consumer modules. The Ecommerce based ontology specifies each product details by searching, storing and retrieving user log details.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134636211","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}
Mobile Adhoc Networks (MANET) are infra structure-less network made up of many mobile nodes and these nodes communicate through a wireless and infrastructure less medium. Security becomes a major challenge for MANET due to its dynamic characteristics, changing topologies and random mobility. This makes MANET susceptible to a wide verity of attacks. Also, a majority of routing protocols in MANETS are influenced by different classes of attack. This paper focuses on the study of the effects of the cooperative blackhole attack in MANET, how to identify such attacks in ZRP, which is hybrid routing protocol. In this paper, firstly, an attempt has been made to study the effect of cooperative attacks over DSR (Reactive), DSDV (Proactive) and Hybrid (ZRP). Afterward, ZRP is modified by introducing two additional parameters so that effect of cooperative attacks is reduced in ZRP. The modification is based on fuzzy approach which helps in identifying cooperative black hole in ZRP is proposed. Several experiments have been performed to validate the improvement in performance of proposed modified ZRP.
{"title":"Modified ZRP to Identify Cooperative Attacks","authors":"Swari Sharma, Aakansha Jain, Nitesh Gupta","doi":"10.1109/CICT.2016.66","DOIUrl":"https://doi.org/10.1109/CICT.2016.66","url":null,"abstract":"Mobile Adhoc Networks (MANET) are infra structure-less network made up of many mobile nodes and these nodes communicate through a wireless and infrastructure less medium. Security becomes a major challenge for MANET due to its dynamic characteristics, changing topologies and random mobility. This makes MANET susceptible to a wide verity of attacks. Also, a majority of routing protocols in MANETS are influenced by different classes of attack. This paper focuses on the study of the effects of the cooperative blackhole attack in MANET, how to identify such attacks in ZRP, which is hybrid routing protocol. In this paper, firstly, an attempt has been made to study the effect of cooperative attacks over DSR (Reactive), DSDV (Proactive) and Hybrid (ZRP). Afterward, ZRP is modified by introducing two additional parameters so that effect of cooperative attacks is reduced in ZRP. The modification is based on fuzzy approach which helps in identifying cooperative black hole in ZRP is proposed. Several experiments have been performed to validate the improvement in performance of proposed modified ZRP.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"70 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114023155","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}
Big data is a voluminous and complex collection of data that is difficult to process using the day to day database management techniques and traditional data processing tools. Analysis of such data by organizations can discover previously unknown trends and opportunities which can be used for optimization of services and even help executives in decision making. One such source of data is clickstream data which can be captured and analyzed by online retailers and similar conglomerates to optimize the websites and increase sales. In today's world, online retail has become a huge industry which boasts of a huge number of retailers, over a billion customers and worldwide sales of over 22 trillion U. S. D., a number which is set to increase in coming years. This brings with it the need to provide a great browsing experience to customers to keep afloat in the huge market of online retailers. Hadoop is the easy to use framework that helps the user in processing of large data sets over a cluster of commodity computers using simple programming techniques.
{"title":"Analyzing Cilck Stream Data Using Hadoop","authors":"Pulkit Sharma, Komal Mahajan, Vishal Bhatnagar","doi":"10.1109/CICT.2016.28","DOIUrl":"https://doi.org/10.1109/CICT.2016.28","url":null,"abstract":"Big data is a voluminous and complex collection of data that is difficult to process using the day to day database management techniques and traditional data processing tools. Analysis of such data by organizations can discover previously unknown trends and opportunities which can be used for optimization of services and even help executives in decision making. One such source of data is clickstream data which can be captured and analyzed by online retailers and similar conglomerates to optimize the websites and increase sales. In today's world, online retail has become a huge industry which boasts of a huge number of retailers, over a billion customers and worldwide sales of over 22 trillion U. S. D., a number which is set to increase in coming years. This brings with it the need to provide a great browsing experience to customers to keep afloat in the huge market of online retailers. Hadoop is the easy to use framework that helps the user in processing of large data sets over a cluster of commodity computers using simple programming techniques.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123502914","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}
Permanent magnet synchronous generators used in small scale wind generating systems connected to the grid employ various types of power electronic converters. This paper reviews and gives a systematic classification of many power converter topologies available in the literature based on the electrical isolation between the generator and the grid. Emphasis is given on the type of rectifier used on the generator side. Most of the available converters use line-frequency transformer isolation and it is shown that they can be classified into three types. Based on the available high-frequency transformer isolated ac-dc converters, we have classified them into five schemes suitable for wind energy conversion system applications that can reduce the size, cost and improve the overall performance of such converters. In particular, two single stage soft-switched ac-dc converters have been discussed.
{"title":"Power Converter Schemes for Small Scale Wind Energy Conversion Systems - Review, a Systematic Classification Based on Isolation Transformer and Generator Side Rectifier","authors":"Yimian Du, A. Bhat","doi":"10.1109/CICT.2016.73","DOIUrl":"https://doi.org/10.1109/CICT.2016.73","url":null,"abstract":"Permanent magnet synchronous generators used in small scale wind generating systems connected to the grid employ various types of power electronic converters. This paper reviews and gives a systematic classification of many power converter topologies available in the literature based on the electrical isolation between the generator and the grid. Emphasis is given on the type of rectifier used on the generator side. Most of the available converters use line-frequency transformer isolation and it is shown that they can be classified into three types. Based on the available high-frequency transformer isolated ac-dc converters, we have classified them into five schemes suitable for wind energy conversion system applications that can reduce the size, cost and improve the overall performance of such converters. In particular, two single stage soft-switched ac-dc converters have been discussed.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124394122","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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