Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577486
Dong Liu, Damin Zhang, Juanmin Chen, Zhiyuan Pan
In order to improve the quality of network selection in heterogeneous networks, a heterogeneous network selection algorithm based on the objective and subjective synthetic weights is proposed. For different service types, AHP is used to calculate the subjective weights. According to the real-time attribute parameters of networks, the improved CRITIC is used to calculate the objective weights. Finally, the TOPSIS is applied to select optimal access network. The simulation results show that the algorithm proposed in this paper can find the optimal network based on user subjective preferences and network performance. In addition, it can reduce the handoff times while satisfy the QoS requirement.
{"title":"A Heterogeneous Network Access Selection Algorithm Based on Improved CRITIC","authors":"Dong Liu, Damin Zhang, Juanmin Chen, Zhiyuan Pan","doi":"10.1109/IAEAC.2018.8577486","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577486","url":null,"abstract":"In order to improve the quality of network selection in heterogeneous networks, a heterogeneous network selection algorithm based on the objective and subjective synthetic weights is proposed. For different service types, AHP is used to calculate the subjective weights. According to the real-time attribute parameters of networks, the improved CRITIC is used to calculate the objective weights. Finally, the TOPSIS is applied to select optimal access network. The simulation results show that the algorithm proposed in this paper can find the optimal network based on user subjective preferences and network performance. In addition, it can reduce the handoff times while satisfy the QoS requirement.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"10 1","pages":"381-387"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85086003","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: 10.1109/IAEAC.2018.8577916
Li Bingrong, Qu Chang-wen, Zhou Zheng, Guo Linpeng
Depending on the information of DOA and TOA, passive location to a moving emitter can be realized by a fixed observer. In the location system, the state model is generally linear, but the measurement model is frequently nonlinear. With the help of extended Kalman filter (EKF), the state of the target can be estimated, and the track of it can be also traced. Unscented Kalman filter(UKF) is another method to solve the problem of nonlinear system. Deduction and simulation shows that, using EKF and UKF based on DOA and TOA information to locate and track the moving emitter, can be convergent with a high accuracy. Relatively, UKF is better than EKF.
{"title":"Application of UKF Alogrithm in Passive Localization and Tracking","authors":"Li Bingrong, Qu Chang-wen, Zhou Zheng, Guo Linpeng","doi":"10.1109/IAEAC.2018.8577916","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577916","url":null,"abstract":"Depending on the information of DOA and TOA, passive location to a moving emitter can be realized by a fixed observer. In the location system, the state model is generally linear, but the measurement model is frequently nonlinear. With the help of extended Kalman filter (EKF), the state of the target can be estimated, and the track of it can be also traced. Unscented Kalman filter(UKF) is another method to solve the problem of nonlinear system. Deduction and simulation shows that, using EKF and UKF based on DOA and TOA information to locate and track the moving emitter, can be convergent with a high accuracy. Relatively, UKF is better than EKF.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"19 1","pages":"2530-2534"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81612219","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: 10.1109/IAEAC.2018.8577661
Xinyu Tian, Qinghe Zheng, Jianping Xing
Faced with the huge image data in the context of big data era, how to effectively manage, describe, and retrieve them has become a hotspot issue in academic circles. In this paper, we propose an end-to-end image retrieval system based on deep convolutional neural network and differential learning method. We first build an image matching dataset based on the gravitational field model, that is to add a similarity score label for each image in the dataset production stage. Then we train the improved deep learning model and verify the effectiveness of the algorithm on three common image matching dataset (i.e., Caltech-101, Holidays and Oxford Paris). Finally, the experimental results show that our improved deep learning model with differential learning method that used for image retrieval system has state-of-the-art image matching performance. The overall retrieval accuracy in Caltech-101, Holidays and Oxford Paris datasets are 88.5%, 94.1 % and 96.2%, respectively. As the number of returned images increases, the image retrieval accuracy of the system decreases slightly and eventually becomes stable at a high value. And the differential learning based retrieval method is superior to many traditional algorithms in terms of image matching accuracy and single image processing speed.
{"title":"Content-Based Image Retrieval System Via Deep Learning Method","authors":"Xinyu Tian, Qinghe Zheng, Jianping Xing","doi":"10.1109/IAEAC.2018.8577661","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577661","url":null,"abstract":"Faced with the huge image data in the context of big data era, how to effectively manage, describe, and retrieve them has become a hotspot issue in academic circles. In this paper, we propose an end-to-end image retrieval system based on deep convolutional neural network and differential learning method. We first build an image matching dataset based on the gravitational field model, that is to add a similarity score label for each image in the dataset production stage. Then we train the improved deep learning model and verify the effectiveness of the algorithm on three common image matching dataset (i.e., Caltech-101, Holidays and Oxford Paris). Finally, the experimental results show that our improved deep learning model with differential learning method that used for image retrieval system has state-of-the-art image matching performance. The overall retrieval accuracy in Caltech-101, Holidays and Oxford Paris datasets are 88.5%, 94.1 % and 96.2%, respectively. As the number of returned images increases, the image retrieval accuracy of the system decreases slightly and eventually becomes stable at a high value. And the differential learning based retrieval method is superior to many traditional algorithms in terms of image matching accuracy and single image processing speed.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"18 1","pages":"1257-1261"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79686773","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: 10.1109/IAEAC.2018.8577629
Jing Li, I. Liu, Weixin Gao, Xiaoyan Huang
The spiking neural network referred to the third generation of neural network simulates the mechanisms of neurons and networks in brain. It has the distributed computational mechanism and robust information processing way like the nervous system. This paper describes that a spiking neural network with the synaptic plasticity recognizes the input scenes. The Digital spiking silicon neuron (DSSN), a mathematical structure-based qualitative model, is used to reproduce the various behaviors of neurons. We also designed the synapse model in our spiking neural network to precisely describe the dynamics of the transmitter release and the postsynaptic current generation. There are three layers in our network. The spiking neurons in layer 1 and 2 with special receptive fields perform the edge detection and orientation selection, respectively. The synaptic plasticity is realized in synaptic connections between spiking neurons in layer 2 and the output layer. The changing of connection is based on the Hebbian learning rule which supposes that the time difference of two spikes modifies the value of connection. We evaluated our spiking neural network with the task of image recognition. The spiking neurons in the output layer fire with the high frequency in response to their relevant input scenes. The simulation results show that our spiking neural network can successfully recognize the input scenes learned before. The recognition is robust against various distortions.
{"title":"Spiking neural network with synaptic plasticity for recognition","authors":"Jing Li, I. Liu, Weixin Gao, Xiaoyan Huang","doi":"10.1109/IAEAC.2018.8577629","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577629","url":null,"abstract":"The spiking neural network referred to the third generation of neural network simulates the mechanisms of neurons and networks in brain. It has the distributed computational mechanism and robust information processing way like the nervous system. This paper describes that a spiking neural network with the synaptic plasticity recognizes the input scenes. The Digital spiking silicon neuron (DSSN), a mathematical structure-based qualitative model, is used to reproduce the various behaviors of neurons. We also designed the synapse model in our spiking neural network to precisely describe the dynamics of the transmitter release and the postsynaptic current generation. There are three layers in our network. The spiking neurons in layer 1 and 2 with special receptive fields perform the edge detection and orientation selection, respectively. The synaptic plasticity is realized in synaptic connections between spiking neurons in layer 2 and the output layer. The changing of connection is based on the Hebbian learning rule which supposes that the time difference of two spikes modifies the value of connection. We evaluated our spiking neural network with the task of image recognition. The spiking neurons in the output layer fire with the high frequency in response to their relevant input scenes. The simulation results show that our spiking neural network can successfully recognize the input scenes learned before. The recognition is robust against various distortions.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"7 1","pages":"1728-1732"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84690951","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: 10.1109/IAEAC.2018.8577927
Changren Yu, Lianxing Jia, Yintao Hou
The genetic algorithm is used to improve the neural network and obtain the optimal weights and thresholds. Using the generated optimal weights and thresholds to run the neural network reduces the error norm over neural network which use random weights and thresholds. The classification of three kinds of communications noise signals was simulated by this algorithm, and the accuracy of this algorithm was proved. Experiments show that the algorithm will have an excellent application prospect in the noise signals classification in the communications field.
{"title":"Application of an Improved Neural Network Algorithm in Classification of Communication Noise Signals","authors":"Changren Yu, Lianxing Jia, Yintao Hou","doi":"10.1109/IAEAC.2018.8577927","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577927","url":null,"abstract":"The genetic algorithm is used to improve the neural network and obtain the optimal weights and thresholds. Using the generated optimal weights and thresholds to run the neural network reduces the error norm over neural network which use random weights and thresholds. The classification of three kinds of communications noise signals was simulated by this algorithm, and the accuracy of this algorithm was proved. Experiments show that the algorithm will have an excellent application prospect in the noise signals classification in the communications field.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"2033-2036"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84698935","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: 10.1109/IAEAC.2018.8577515
Wenzhe Liu, Boyuan Ma, J. Pan
A conformal cambered dielectric resonator antenna (DRA) is theoretically studied with a reasonable approximate model. The quasi-rigorous solution is found accurate for DRAs with such shape. The radiation characteristic of the DRA is investigated, which indicates that it is a qualified candidate for conformal antennas. Additionally, the cambered DRA is actually deformation of a rectangular DRA. Therefore, the two kinds of DRAs are compared to study the deformation effect. It shows that the resonant frequency and bandwidth stay almost the same. Nevertheless, beamwidth of the cambered DRA is obviously wider than its rectangular counterpart. The beamwidths in E- and H-planes are broadened by nearly 30% and 50%, respectively. Consequently, besides of working as a conformal antenna, the cambered DRA is also capable of omnidirectional and broad-beam requirements.
{"title":"Comparison between Conformal Cambered and Rectangular Dielectric Resonator Antennas","authors":"Wenzhe Liu, Boyuan Ma, J. Pan","doi":"10.1109/IAEAC.2018.8577515","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577515","url":null,"abstract":"A conformal cambered dielectric resonator antenna (DRA) is theoretically studied with a reasonable approximate model. The quasi-rigorous solution is found accurate for DRAs with such shape. The radiation characteristic of the DRA is investigated, which indicates that it is a qualified candidate for conformal antennas. Additionally, the cambered DRA is actually deformation of a rectangular DRA. Therefore, the two kinds of DRAs are compared to study the deformation effect. It shows that the resonant frequency and bandwidth stay almost the same. Nevertheless, beamwidth of the cambered DRA is obviously wider than its rectangular counterpart. The beamwidths in E- and H-planes are broadened by nearly 30% and 50%, respectively. Consequently, besides of working as a conformal antenna, the cambered DRA is also capable of omnidirectional and broad-beam requirements.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"35 1","pages":"188-191"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85374156","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: 10.1109/IAEAC.2018.8577233
Qingfa Cui, Sheng-Chuan Wu
MapReduce as an abstract distributed computing programming model could solve the issues of parallel computing, such as load balancing, network storage, data distribution, resource allocation, fault tolerance. This makes it easy for people to manipulate large scale cluster systems without considering hardware details. The paper discusses completely how to apply MapReduce. In the construction of the experimental platform, this paper successfully designs and implements the cone search service based on MapReduce, The final result proves that the astronomical data application method based on MapReduce greatly improves the processing capacity.
{"title":"Astronomical Data Application Research Based on MapReduce","authors":"Qingfa Cui, Sheng-Chuan Wu","doi":"10.1109/IAEAC.2018.8577233","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577233","url":null,"abstract":"MapReduce as an abstract distributed computing programming model could solve the issues of parallel computing, such as load balancing, network storage, data distribution, resource allocation, fault tolerance. This makes it easy for people to manipulate large scale cluster systems without considering hardware details. The paper discusses completely how to apply MapReduce. In the construction of the experimental platform, this paper successfully designs and implements the cone search service based on MapReduce, The final result proves that the astronomical data application method based on MapReduce greatly improves the processing capacity.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"31 1","pages":"2345-2348"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82267706","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: 10.1109/IAEAC.2018.8577722
T. Han, Anjia Mao, Shengyu Kuai, Bin Ye
In recent years, with the transformation of energy use forms and the promotion of national policies, a large number of new loads, represented by electric vehicles, have gradually infiltrated into the urban power grid, which has brought a certain impact on the operation of the power grid, and the traditional grid planning lacks the adaptability to the impact of the scale of the electric vehicle load. Therefore, according to the load characteristics and the current development trend of electric vehicle, this paper analyzes its influence on the load capacity ratio of electric network. In addition, a kind of capacity load ratio optimization model which considers the overall economy of different voltage grades is put forward, and the influence of different electric vehicle permeability on the value of load ratio and transformer type selection is analyzed, thus the level of power grid planning is improved and the electric vehicle access demand is satisfied better.
{"title":"Load ratio optimization of Urban Power Grid Considering penetration of electric vehicles","authors":"T. Han, Anjia Mao, Shengyu Kuai, Bin Ye","doi":"10.1109/IAEAC.2018.8577722","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577722","url":null,"abstract":"In recent years, with the transformation of energy use forms and the promotion of national policies, a large number of new loads, represented by electric vehicles, have gradually infiltrated into the urban power grid, which has brought a certain impact on the operation of the power grid, and the traditional grid planning lacks the adaptability to the impact of the scale of the electric vehicle load. Therefore, according to the load characteristics and the current development trend of electric vehicle, this paper analyzes its influence on the load capacity ratio of electric network. In addition, a kind of capacity load ratio optimization model which considers the overall economy of different voltage grades is put forward, and the influence of different electric vehicle permeability on the value of load ratio and transformer type selection is analyzed, thus the level of power grid planning is improved and the electric vehicle access demand is satisfied better.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"31 1","pages":"1738-1742"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84078548","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: 10.1109/IAEAC.2018.8577717
Cong Peng, Wenqiang Ye
In the case of unknown new target intensity, the traditional extended target probability hypothesis density (ET-PHD) filtering algorithm has a poor tracking effect. In this paper, an ET-PHD filtering algorithm based on measurement driven adaptive new target intensity is proposed. The new target intensity function is adaptively generated by the measured values obtained each time. The survival target and the new target are propagating in the prediction and updating stages and implemented under the Gauss mixture framework. The simulation results show that the proposed algorithm has a great advantage over the target number estimation and the OSPA distance compared with the traditional ET-GM-PHD filtering algorithm and improves the tracking performance of the extended target PHD filter.
{"title":"An Improved Adaptive ET-PHD Algorithm for Newborn Target Intensity","authors":"Cong Peng, Wenqiang Ye","doi":"10.1109/IAEAC.2018.8577717","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577717","url":null,"abstract":"In the case of unknown new target intensity, the traditional extended target probability hypothesis density (ET-PHD) filtering algorithm has a poor tracking effect. In this paper, an ET-PHD filtering algorithm based on measurement driven adaptive new target intensity is proposed. The new target intensity function is adaptively generated by the measured values obtained each time. The survival target and the new target are propagating in the prediction and updating stages and implemented under the Gauss mixture framework. The simulation results show that the proposed algorithm has a great advantage over the target number estimation and the OSPA distance compared with the traditional ET-GM-PHD filtering algorithm and improves the tracking performance of the extended target PHD filter.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"229 1","pages":"2137-2142"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80224435","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: 10.1109/IAEAC.2018.8577687
Xue Haoren, J. Pan
A part of constructed large-scale waveguide slot array antenna ultilized in Surface Monitor Radar(SMR) is proposed in this thesis, to which slotted rectangular waveguide with parallel metallic plates in this narrow-beam antenna is applied in order to restrain cross-polarization and obtain relative pure linear polarization so that excellent radiation performance is guaranteed. However, it is figured that the size of the parallel metallic plates can affect cross-polarization at centain frequency range we concern visibly, especially in such a large-scale array antenna, and vast slots graved in waveguide produce acceptable linear polarization but lead to severe cross polarization. Some tips to control cross polarization will be raised and datas about simulation and actual measurement will be shown in this article.
{"title":"Cross Polarization in Large-scale Rectangular Waveguide Slot Array Antenna with Parallel Metallic Plates","authors":"Xue Haoren, J. Pan","doi":"10.1109/IAEAC.2018.8577687","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577687","url":null,"abstract":"A part of constructed large-scale waveguide slot array antenna ultilized in Surface Monitor Radar(SMR) is proposed in this thesis, to which slotted rectangular waveguide with parallel metallic plates in this narrow-beam antenna is applied in order to restrain cross-polarization and obtain relative pure linear polarization so that excellent radiation performance is guaranteed. However, it is figured that the size of the parallel metallic plates can affect cross-polarization at centain frequency range we concern visibly, especially in such a large-scale array antenna, and vast slots graved in waveguide produce acceptable linear polarization but lead to severe cross polarization. Some tips to control cross polarization will be raised and datas about simulation and actual measurement will be shown in this article.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"28 1","pages":"558-561"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83095626","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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