Under the Internet economy, online shopping is together with Internet financial behavior. This paper uses dimension analysis method to study the impact mechanism of online shopping consumers' financial behavior based on the background of Internet economy. The questionnaire survey, SPSS multi-sample t test is used to analyze the data and YAAHP software is used to analyze the influencing factors. It finds that the consumers' own factors and the internet platform factors have significant impact on the consumers' financial behavior in online shopping, while the social economic factors are not obvious. Finally, this paper puts forward the targeted countermeasures and suggestions from three aspects.
{"title":"A Study on the Influencing Factors of Consumers' Financial Behavior in Online Shopping","authors":"Zhao Cheng-Guo, Xiong Lv-Shan, Luo Jia-lu","doi":"10.1109/IIKI.2016.51","DOIUrl":"https://doi.org/10.1109/IIKI.2016.51","url":null,"abstract":"Under the Internet economy, online shopping is together with Internet financial behavior. This paper uses dimension analysis method to study the impact mechanism of online shopping consumers' financial behavior based on the background of Internet economy. The questionnaire survey, SPSS multi-sample t test is used to analyze the data and YAAHP software is used to analyze the influencing factors. It finds that the consumers' own factors and the internet platform factors have significant impact on the consumers' financial behavior in online shopping, while the social economic factors are not obvious. Finally, this paper puts forward the targeted countermeasures and suggestions from three aspects.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125445128","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 order to enhance the performance of E-Commerce recommendation, a hybrid filtering approach based on the taxonomy of E-Commerce platform is put forward. The classification tree of products is used to find the users with similar shopping intention. The sparsity of user ratings, major problem for collaborative filtering, is overcome. A two-granularity user profile is built to reflect the customer's shopping interests. User profile is firstly described as a set of leaf nodes of the classification tree. Then, each category of the user profile is refined by the theory of fuzzy set. Fuzzy sets make user profile and item representation more accurate. At the same time, tags instead of key words extracted from item content, are used for the building of user profiles and representation of items. It overcomes the analysis difficulty and large calculation problems for content-based filtering.
{"title":"Improve E-Commerce Recommendation by Classification Tree and Fuzzy Sets","authors":"Lianhong Ding, Yanhong Zheng","doi":"10.1109/IIKI.2016.73","DOIUrl":"https://doi.org/10.1109/IIKI.2016.73","url":null,"abstract":"In order to enhance the performance of E-Commerce recommendation, a hybrid filtering approach based on the taxonomy of E-Commerce platform is put forward. The classification tree of products is used to find the users with similar shopping intention. The sparsity of user ratings, major problem for collaborative filtering, is overcome. A two-granularity user profile is built to reflect the customer's shopping interests. User profile is firstly described as a set of leaf nodes of the classification tree. Then, each category of the user profile is refined by the theory of fuzzy set. Fuzzy sets make user profile and item representation more accurate. At the same time, tags instead of key words extracted from item content, are used for the building of user profiles and representation of items. It overcomes the analysis difficulty and large calculation problems for content-based filtering.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"524 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123352761","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}
Artificial neural network has brought a new way for prediction of geological reservoir physical parameters (e.g. porosity, permeability and saturation). However, it becomes strong pertinence and bad universal in parameters prediction. According to the thought of committee machine, the paper presents a new neural network model, which is based on BP neural network, radial basis function (RBF) neural network and support vector regression (SVR) model. And then, a single layer perceptron (SLP) combines different individual neural network to adjust of network structure and reap beneficial advantages of all model. Eventually, a committee neural network (CNN) was constructed. It eliminated the defects of individual neural network in porosity prediction and improved the accuracy of the prediction. Three well logs are applied for experiment. One was used to establish the CNN model, and the other two were employed to assess the reliability of constructed CNN model. Results show that the CNN model performed better than individual neural network model.
{"title":"A New Neural Network Model for Rock Porosity Prediction","authors":"Youxiang Duan, Yu Li, Gentian Li, Qifeng Sun","doi":"10.1109/IIKI.2016.44","DOIUrl":"https://doi.org/10.1109/IIKI.2016.44","url":null,"abstract":"Artificial neural network has brought a new way for prediction of geological reservoir physical parameters (e.g. porosity, permeability and saturation). However, it becomes strong pertinence and bad universal in parameters prediction. According to the thought of committee machine, the paper presents a new neural network model, which is based on BP neural network, radial basis function (RBF) neural network and support vector regression (SVR) model. And then, a single layer perceptron (SLP) combines different individual neural network to adjust of network structure and reap beneficial advantages of all model. Eventually, a committee neural network (CNN) was constructed. It eliminated the defects of individual neural network in porosity prediction and improved the accuracy of the prediction. Three well logs are applied for experiment. One was used to establish the CNN model, and the other two were employed to assess the reliability of constructed CNN model. Results show that the CNN model performed better than individual neural network model.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384972","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 order to forecast the price movement of stock with the correlated news events, an enhanced Topic-driven model with the positional weight of feature words and label of stocks, named LP-LDA model, is proposed to represent and analyze the intrinsic mechanism in financial market. The experiment results show that LP-LDA has a better performance than traditional LDA model. Especially, when the number of topics are increasing, the running time of LP-LDA model are 0.69s, 0.78 s and 1.15s at 100, 200 and 300 topics, respectively, which are better than LDA. Furthermore, Degree of Influence (DoI) is defined to describe the considerable influence about the news events on the price movement of certain stock, which provides a new mechanism to measure the fluctuating price. The experiment results shown that the coefficient of correlation between news topic and return rate of stock is 0.9137, which is much higher than other results of experiment.
{"title":"Research on News Topic-Driven Market Flucatuation and Predication","authors":"Y. Rao, Xuhui Zhong, Shumin Lu","doi":"10.1109/IIKI.2016.93","DOIUrl":"https://doi.org/10.1109/IIKI.2016.93","url":null,"abstract":"In order to forecast the price movement of stock with the correlated news events, an enhanced Topic-driven model with the positional weight of feature words and label of stocks, named LP-LDA model, is proposed to represent and analyze the intrinsic mechanism in financial market. The experiment results show that LP-LDA has a better performance than traditional LDA model. Especially, when the number of topics are increasing, the running time of LP-LDA model are 0.69s, 0.78 s and 1.15s at 100, 200 and 300 topics, respectively, which are better than LDA. Furthermore, Degree of Influence (DoI) is defined to describe the considerable influence about the news events on the price movement of certain stock, which provides a new mechanism to measure the fluctuating price. The experiment results shown that the coefficient of correlation between news topic and return rate of stock is 0.9137, which is much higher than other results of experiment.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124892457","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}
Yuqi Yang, Guangzhi Zhang, R. Bie, Sungjoong Kim, Dongil Shin
Health is closely related to everyone. Integrating different medical data sets will bring tremendous value for human. Basing on Chinese and English disease medical term, we use text mining technique in terms of two dimensions of the disease from the name and text description of the semantic clustering to achieve initial alignment disease terminology. First, we translate the Chinese data set through the API translation. Then we assign weights for each feature item to obtain feature vector for each disease node disease. Finally, we calculate the similarity of diseases and K-means clustering. We conduct experiments to evaluate the method on real-world and authoritative dataset, and the results prove that it has better rationality and superiority. The method can be extended to the initial alignment of multilingual texts with the same concept after improving.
{"title":"Key Techniques of Cross-Language Medical Term Alignment","authors":"Yuqi Yang, Guangzhi Zhang, R. Bie, Sungjoong Kim, Dongil Shin","doi":"10.1109/IIKI.2016.26","DOIUrl":"https://doi.org/10.1109/IIKI.2016.26","url":null,"abstract":"Health is closely related to everyone. Integrating different medical data sets will bring tremendous value for human. Basing on Chinese and English disease medical term, we use text mining technique in terms of two dimensions of the disease from the name and text description of the semantic clustering to achieve initial alignment disease terminology. First, we translate the Chinese data set through the API translation. Then we assign weights for each feature item to obtain feature vector for each disease node disease. Finally, we calculate the similarity of diseases and K-means clustering. We conduct experiments to evaluate the method on real-world and authoritative dataset, and the results prove that it has better rationality and superiority. The method can be extended to the initial alignment of multilingual texts with the same concept after improving.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126310884","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}
Liangchi Li, Shuaijing Xu, Shenling Wang, Xianlin Ma
The construction of medical database has been constructed to some degrees, but the data redundancy between many medical sets has great influence on searching cross different sets. In this paper, the first step is to use three major domestic medical sets as the foundation of the research. And the Natural Language processing technologies is applied to realize the segmentation of disease description. Then, we use TF-IDF to calculate the weight of the feature words in the disease description, and establish the disease feature vector. Based on this vector, the similarity of disease feature vectors is measured by the cosine similarity method. Finally, the effect of k-means and k-center clustering algorithm on the alignment of the disease text is compared. The experimental results show that the k-center clustering algorithm has better performance compared to k-means. And the result of the clustering is reasonable to some extent.
{"title":"The Diseases Clustering for Multi-source Medical Sets","authors":"Liangchi Li, Shuaijing Xu, Shenling Wang, Xianlin Ma","doi":"10.1109/IIKI.2016.37","DOIUrl":"https://doi.org/10.1109/IIKI.2016.37","url":null,"abstract":"The construction of medical database has been constructed to some degrees, but the data redundancy between many medical sets has great influence on searching cross different sets. In this paper, the first step is to use three major domestic medical sets as the foundation of the research. And the Natural Language processing technologies is applied to realize the segmentation of disease description. Then, we use TF-IDF to calculate the weight of the feature words in the disease description, and establish the disease feature vector. Based on this vector, the similarity of disease feature vectors is measured by the cosine similarity method. Finally, the effect of k-means and k-center clustering algorithm on the alignment of the disease text is compared. The experimental results show that the k-center clustering algorithm has better performance compared to k-means. And the result of the clustering is reasonable to some extent.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127270394","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}
Electrical speckle shearing pattern interferometry (ESSPI), being a kind of high-precision noncontact real-time measurement method in the whole field, has been used in the field of deformation measurement and harmonic vibration measurement deviating from rough object plane in the optical scale. The method can also be used in the field of nondestructive test (NDT). Two general methods, time-average methods and stroboscopic method, are studied to measure harmonic vibration deviating from object plane and corresponding mathematical models of electrical speckle shearing interfering stripes distribution are set up based on the theory of statistical optics. The vibration measuring system based on ESSPI is designed and the experiments are done to verify measurement availability of the above two methods. The experiment results with time-average method and those with stroboscopic method are compared to prove the following conclusions. The contrast of speckle stripes in electrical speckle shearing interfering stripe images with time-average method is decreased obviously with increase of the stripes level and therefore the time-average method is generally used in qualitative analysis of vibration. The speckle stripes quality in the electrical speckle shearing interfering stripe images with stroboscopic method is better than that with time-average method and the instant vibration distribution can be analyzed quantitatively with stroboscopic method too.
{"title":"Vibration Measurement with Electrical Speckle Shearing Pattern Interferometry","authors":"Chao Jing, Zhongling Liu, Chunlei Guo, Yu Zhang, Yimo Zhang","doi":"10.1109/IIKI.2016.119","DOIUrl":"https://doi.org/10.1109/IIKI.2016.119","url":null,"abstract":"Electrical speckle shearing pattern interferometry (ESSPI), being a kind of high-precision noncontact real-time measurement method in the whole field, has been used in the field of deformation measurement and harmonic vibration measurement deviating from rough object plane in the optical scale. The method can also be used in the field of nondestructive test (NDT). Two general methods, time-average methods and stroboscopic method, are studied to measure harmonic vibration deviating from object plane and corresponding mathematical models of electrical speckle shearing interfering stripes distribution are set up based on the theory of statistical optics. The vibration measuring system based on ESSPI is designed and the experiments are done to verify measurement availability of the above two methods. The experiment results with time-average method and those with stroboscopic method are compared to prove the following conclusions. The contrast of speckle stripes in electrical speckle shearing interfering stripe images with time-average method is decreased obviously with increase of the stripes level and therefore the time-average method is generally used in qualitative analysis of vibration. The speckle stripes quality in the electrical speckle shearing interfering stripe images with stroboscopic method is better than that with time-average method and the instant vibration distribution can be analyzed quantitatively with stroboscopic method too.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127728396","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}
While location based services (LBS) are facilitating our daily life, the privacy issues including location privacy and query privacy are also arising. Existing efforts aiming to preserving query privacy rely on third party servers or fail to provide guaranteed privacy degree. In this paper we combine the concepts of differential privacy and k-anonymity to establish a novel notion of differentially private k-anonymity (DPkA) for query privacy in LBS. The sufficient and necessary condition for the availability of 0-DPkA is recognized and a mechanism M0 to achieve 0-DPkA is given. For other cases that 0-DPkA is impossible, this paper presents an algorithm to achieve ε-DPkA with bounded ε.
{"title":"Differentially Private k-Anonymity: Achieving Query Privacy in Location-Based Services","authors":"Jinbao Wang, Zhipeng Cai, Chunyu Ai, Donghua Yang, Hong Gao, Xiuzhen Cheng","doi":"10.1109/IIKI.2016.67","DOIUrl":"https://doi.org/10.1109/IIKI.2016.67","url":null,"abstract":"While location based services (LBS) are facilitating our daily life, the privacy issues including location privacy and query privacy are also arising. Existing efforts aiming to preserving query privacy rely on third party servers or fail to provide guaranteed privacy degree. In this paper we combine the concepts of differential privacy and k-anonymity to establish a novel notion of differentially private k-anonymity (DPkA) for query privacy in LBS. The sufficient and necessary condition for the availability of 0-DPkA is recognized and a mechanism M0 to achieve 0-DPkA is given. For other cases that 0-DPkA is impossible, this paper presents an algorithm to achieve ε-DPkA with bounded ε.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332774","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}
Mohammadreza Sahebi Shahamabadi, B. Ali, N. Noordin, M. Rasid, A. Jara
The network mobility (NEMO) management for a mobile network of IPv6 low-power personal area network (6LoWPAN) in smart buildings has attracted much interest recently, this is partly due to the emergence of the internet of things (IoT). For the specific case of hospital environments, NEMO provides continued connectivity with the Internet for patients attached with 6LoWPAN mobile nodes (MNs) regardless of patients' locations. NEMO comprises a set of mobile network nodes (MNNs) that could move together as a single unit, and each of these mobile networks has a mobile router (MR) that can change its attachment point to the Internet as the network moves together. Even though NEMO has a low signaling cost, but there is a need to understand their challenges for a 6LoWPAN mobile network in smart buildings. If the MR loses its energy, the connectivity with the network will be lost. In this paper, to illustrate the challenges of NEMO in smart buildings like hospital environments, the traffic load at MR will be evaluated against the number of MNNs, number of handovers, and data arrival rate. This has been simulated by OMNet++4.3.1 and Contiki.
{"title":"The Challenges of NEMO in 6LoWPAN Smart Building Area","authors":"Mohammadreza Sahebi Shahamabadi, B. Ali, N. Noordin, M. Rasid, A. Jara","doi":"10.1109/IIKI.2016.110","DOIUrl":"https://doi.org/10.1109/IIKI.2016.110","url":null,"abstract":"The network mobility (NEMO) management for a mobile network of IPv6 low-power personal area network (6LoWPAN) in smart buildings has attracted much interest recently, this is partly due to the emergence of the internet of things (IoT). For the specific case of hospital environments, NEMO provides continued connectivity with the Internet for patients attached with 6LoWPAN mobile nodes (MNs) regardless of patients' locations. NEMO comprises a set of mobile network nodes (MNNs) that could move together as a single unit, and each of these mobile networks has a mobile router (MR) that can change its attachment point to the Internet as the network moves together. Even though NEMO has a low signaling cost, but there is a need to understand their challenges for a 6LoWPAN mobile network in smart buildings. If the MR loses its energy, the connectivity with the network will be lost. In this paper, to illustrate the challenges of NEMO in smart buildings like hospital environments, the traffic load at MR will be evaluated against the number of MNNs, number of handovers, and data arrival rate. This has been simulated by OMNet++4.3.1 and Contiki.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456641","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}
Yijun Chen, Guangzhi Zhang, Junqi Guo, R. Mehmood, Yizhen Liu
To achieve a digital access to measurement of relative attitude between two separate objects, a separable digital protractor based on IMU is designed. The protractor consists of a pair of arms, with an IMU and a Bluetooth applied on each of them. Data of the two IMUs are transmitted to a processor on one arm and are used for IMU pose estimation. Since the IMU is rigidly tied to the arm, each estimated IMU pose is just that of the attached arm. By comparing the poses of the arms, we can achieve measurement of their relative attitude. Quaternion and Kalman Filter are used for pose representation and estimation respectively. Experiments are conducted on the accuracy and feasibility. Results show the angle measurement error is less than 2o, which is within the tolerance of most applications. With the help of wireless technology, the proposed protractor can bring lots of convenience in angle measurement for separate objects.
{"title":"A Separable Digital Protractor Based on IMU for Angle Measurement","authors":"Yijun Chen, Guangzhi Zhang, Junqi Guo, R. Mehmood, Yizhen Liu","doi":"10.1109/IIKI.2016.4","DOIUrl":"https://doi.org/10.1109/IIKI.2016.4","url":null,"abstract":"To achieve a digital access to measurement of relative attitude between two separate objects, a separable digital protractor based on IMU is designed. The protractor consists of a pair of arms, with an IMU and a Bluetooth applied on each of them. Data of the two IMUs are transmitted to a processor on one arm and are used for IMU pose estimation. Since the IMU is rigidly tied to the arm, each estimated IMU pose is just that of the attached arm. By comparing the poses of the arms, we can achieve measurement of their relative attitude. Quaternion and Kalman Filter are used for pose representation and estimation respectively. Experiments are conducted on the accuracy and feasibility. Results show the angle measurement error is less than 2o, which is within the tolerance of most applications. With the help of wireless technology, the proposed protractor can bring lots of convenience in angle measurement for separate objects.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122514605","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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