Pub Date : 2016-07-06DOI: 10.1109/CITS.2016.7546437
J. Lu, Xiaoming Tao, Linhao Dong, N. Ge
Eye contact is one of critical aspects of video conference. In current video conference systems, an important problem is the shortage of eye contact. This is due to the direction disparity between the normal of focus plane of camera and the interlocutor's gaze. Currently, the state-of-the-method performs well on gaze correction with only single webcam. However, this method that applied to the sequences with face obscured has shown unsatisfying results. In this paper, we propose a novel model-based gaze correction scheme to independently build the eye models, the nose model and the mouth model independently so that the occlusion problem can be solved effectively. To be more specific, by rotating the aforementioned four models at a pre-detected displacement, the degree of gaze correction can be obtained. The facial appearance that is occluded will not be rotated, which will prevent the occluding object from being distorted. Experiment results show that, under different parts of occluding objects, our method can achieve better performance on gaze correction than the current method in terms of perceived quality in two scenes usually appearing in conversational videos.
{"title":"Chunk-wise face model based gaze correction in conversational videos with single camera","authors":"J. Lu, Xiaoming Tao, Linhao Dong, N. Ge","doi":"10.1109/CITS.2016.7546437","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546437","url":null,"abstract":"Eye contact is one of critical aspects of video conference. In current video conference systems, an important problem is the shortage of eye contact. This is due to the direction disparity between the normal of focus plane of camera and the interlocutor's gaze. Currently, the state-of-the-method performs well on gaze correction with only single webcam. However, this method that applied to the sequences with face obscured has shown unsatisfying results. In this paper, we propose a novel model-based gaze correction scheme to independently build the eye models, the nose model and the mouth model independently so that the occlusion problem can be solved effectively. To be more specific, by rotating the aforementioned four models at a pre-detected displacement, the degree of gaze correction can be obtained. The facial appearance that is occluded will not be rotated, which will prevent the occluding object from being distorted. Experiment results show that, under different parts of occluding objects, our method can achieve better performance on gaze correction than the current method in terms of perceived quality in two scenes usually appearing in conversational videos.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132044872","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546452
Yuxin Li, Yinghui Ye, G. Lu, Cai Xu
In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining the above problem. The proposed algorithm dubbed DAD sensing is assessed through Monte Carlo simulations. It is shown that the performance of DAD sensing is robust to the antenna correlation and noise uncertainty.
{"title":"Cooperative spectrum sensing using discrete goodness of fit testing for multi-antenna cognitive radio system","authors":"Yuxin Li, Yinghui Ye, G. Lu, Cai Xu","doi":"10.1109/CITS.2016.7546452","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546452","url":null,"abstract":"In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining the above problem. The proposed algorithm dubbed DAD sensing is assessed through Monte Carlo simulations. It is shown that the performance of DAD sensing is robust to the antenna correlation and noise uncertainty.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150104","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546409
Genfa Zhang, Jun Yan, Bingcheng Zhu, Weiping Zhu
In this paper, a relay node placement for free-space optical (FSO) communication system are proposed for different multi-user and communication service requirements. First, the relay problem is formulated as the constraint multi-objective optimization framework. The outage probability function of each user, the obstacle and feasible region are described as the objective function and the constraint function respectively. Then, the multi-objective optimization problem is transformed into a single-objective optimization problem, according to each different communication service requirement. At last, the optimal position of each relay node can be obtained using the linear weight parameter method. The simulation test are carried out under different practical environments.
{"title":"A relay node placement for free space optical communication system under multi-user environments","authors":"Genfa Zhang, Jun Yan, Bingcheng Zhu, Weiping Zhu","doi":"10.1109/CITS.2016.7546409","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546409","url":null,"abstract":"In this paper, a relay node placement for free-space optical (FSO) communication system are proposed for different multi-user and communication service requirements. First, the relay problem is formulated as the constraint multi-objective optimization framework. The outage probability function of each user, the obstacle and feasible region are described as the objective function and the constraint function respectively. Then, the multi-objective optimization problem is transformed into a single-objective optimization problem, according to each different communication service requirement. At last, the optimal position of each relay node can be obtained using the linear weight parameter method. The simulation test are carried out under different practical environments.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114737570","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546451
P. V. Krishna, S. Misra, D. Nagaraju, V. Saritha, M. Obaidat
In recent years, mobile cloud computing (MCC) is treated as one of the important enablers of Internet of Things. MCC has evolved from a mix of mobile computing and cloud computing. Most of the researcher works on MCC focus on the reduction of cost of applications in mobile devices by leveraging cloud technology. The limitations of mobile environment such as computation capacity, battery power and limited memory lead to the integration of cloud technology. The performance of the mobile environment improves by the implementation of task offloading using cloud technology. In this paper, a model for task offloading using learning automata based decision making algorithm (LADMA) is proposed. The algorithm considers the completion time and energy consumption of the tasks during the allocation of the tasks to the suitable VMs in the cloud. The proposed model is tested on Amazon EC2 and Android X 86 Platforms.
{"title":"Learning automata based decision making algorithm for task offloading in mobile cloud","authors":"P. V. Krishna, S. Misra, D. Nagaraju, V. Saritha, M. Obaidat","doi":"10.1109/CITS.2016.7546451","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546451","url":null,"abstract":"In recent years, mobile cloud computing (MCC) is treated as one of the important enablers of Internet of Things. MCC has evolved from a mix of mobile computing and cloud computing. Most of the researcher works on MCC focus on the reduction of cost of applications in mobile devices by leveraging cloud technology. The limitations of mobile environment such as computation capacity, battery power and limited memory lead to the integration of cloud technology. The performance of the mobile environment improves by the implementation of task offloading using cloud technology. In this paper, a model for task offloading using learning automata based decision making algorithm (LADMA) is proposed. The algorithm considers the completion time and energy consumption of the tasks during the allocation of the tasks to the suitable VMs in the cloud. The proposed model is tested on Amazon EC2 and Android X 86 Platforms.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546229","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546453
Xiaochuan Guo, Xinchang Liu, Guiming Chen, Leilei Chang, Xiang Li
This study proposes an optimization method for the missile weapon system-of-systems (MWSoS) based on information entropy. However, there are multiple challenges, such as the diversity of input values and the non uniform measurement standards. Therefore, the information entropy based method is proposed due to its advantages in dealing with these challenges. This method uses the uniform standard to measure the input value of capability indexes, which further proposes an index aggregation evaluation method based on the information entropy. The proposed approach is validated by an illustrated MWSoS optimization example, which shows the practicability and effectiveness of the method. This method can be more efficiently applied for MWSoS optimization, which provides the decision-making basis for missile weapon.
{"title":"Missile weapon system-of-systems optimization method based on information entropy","authors":"Xiaochuan Guo, Xinchang Liu, Guiming Chen, Leilei Chang, Xiang Li","doi":"10.1109/CITS.2016.7546453","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546453","url":null,"abstract":"This study proposes an optimization method for the missile weapon system-of-systems (MWSoS) based on information entropy. However, there are multiple challenges, such as the diversity of input values and the non uniform measurement standards. Therefore, the information entropy based method is proposed due to its advantages in dealing with these challenges. This method uses the uniform standard to measure the input value of capability indexes, which further proposes an index aggregation evaluation method based on the information entropy. The proposed approach is validated by an illustrated MWSoS optimization example, which shows the practicability and effectiveness of the method. This method can be more efficiently applied for MWSoS optimization, which provides the decision-making basis for missile weapon.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115878092","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546392
Lingsen Zhu, Xiaohui Zhao, Yongjun Xu
Orthogonal frequency division multiplexing (OFD-M)based cognitive radio networks (CRNs) is a promising paradigm to increase spectrum efficiency and achieve flexible resource allocation. However, previous works either lack the consideration of channel uncertainties or ignore the effect of imperfect spectrum sensing. In this paper, we focus on the power control for a downlink OFDM-based CRN with the consideration of both parametric uncertainties and spectrum sensing errors. A robust power control strategy based on the worst case approach to maximize achievable data rate of secondary user is proposed while satisfying the interference constraint and power budget constraint. Simulation results demonstrate that our proposed worst case approach exhibits improved performance since it can obtain a relatively good data rate and provide a better protection for primary user.
{"title":"Robust power control for cognitive radio networks under spectrum sensing errors","authors":"Lingsen Zhu, Xiaohui Zhao, Yongjun Xu","doi":"10.1109/CITS.2016.7546392","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546392","url":null,"abstract":"Orthogonal frequency division multiplexing (OFD-M)based cognitive radio networks (CRNs) is a promising paradigm to increase spectrum efficiency and achieve flexible resource allocation. However, previous works either lack the consideration of channel uncertainties or ignore the effect of imperfect spectrum sensing. In this paper, we focus on the power control for a downlink OFDM-based CRN with the consideration of both parametric uncertainties and spectrum sensing errors. A robust power control strategy based on the worst case approach to maximize achievable data rate of secondary user is proposed while satisfying the interference constraint and power budget constraint. Simulation results demonstrate that our proposed worst case approach exhibits improved performance since it can obtain a relatively good data rate and provide a better protection for primary user.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123700109","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}
Cloud disaster tolerance has been widely used as a data security mechanism in which multiple replicas of disaster tolerance data are stored in different backup nodes for reliability. In this paper, we deeply study the optimal data backup strategy that backup nodes set the resources prices and source nodes determine the resources quantities that they want to rent. Firstly, we apply a Stackelberg game framework to simulate the interaction among source nodes and backup nodes whose objective is to gain the maximum payoff of every source node and the maximum total payoff of all the backup nodes by adjusting strategies interactively. And then we propose an algorithm to compute the equilibrium price strategy for backup nodes and equilibrium price strategy for source nodes. Finally, we validate this optimal backup strategy through numerical analysis.
{"title":"Optimal backup strategy in cloud disaster tolerance","authors":"X. Liu, Xiaoqiang Di, Jinqing Li, Hui Qi, Huamin Yang, Ligang Cong","doi":"10.1109/CITS.2016.7546444","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546444","url":null,"abstract":"Cloud disaster tolerance has been widely used as a data security mechanism in which multiple replicas of disaster tolerance data are stored in different backup nodes for reliability. In this paper, we deeply study the optimal data backup strategy that backup nodes set the resources prices and source nodes determine the resources quantities that they want to rent. Firstly, we apply a Stackelberg game framework to simulate the interaction among source nodes and backup nodes whose objective is to gain the maximum payoff of every source node and the maximum total payoff of all the backup nodes by adjusting strategies interactively. And then we propose an algorithm to compute the equilibrium price strategy for backup nodes and equilibrium price strategy for source nodes. Finally, we validate this optimal backup strategy through numerical analysis.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129771872","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546397
Bo Qu, Xuelong Li, D. Tao, Xiaoqiang Lu
With the rapid development of remote sensing technology, huge quantities of high resolution remote sensing images are available now. Understanding these images in semantic level is of great significance. Hence, a deep multimodal neural network model for semantic understanding of the high resolution remote sensing images is proposed in this paper, which uses both visual and textual information of the high resolution remote sensing images to generate natural sentences describing the given images. In the proposed model, the convolution neural network is utilized to extract the image feature, which is then combined with the text descriptions of the images by RNN or LSTMs. And in the experiments, two new remote sensing image-captions datasets are built at first. Then different kinds of CNNs with RNN or LSTMs are combined to find which is the best combination for caption generation. The experiments results prove that the proposed method achieves good performances in semantic understanding of high resolution remote sensing images.
{"title":"Deep semantic understanding of high resolution remote sensing image","authors":"Bo Qu, Xuelong Li, D. Tao, Xiaoqiang Lu","doi":"10.1109/CITS.2016.7546397","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546397","url":null,"abstract":"With the rapid development of remote sensing technology, huge quantities of high resolution remote sensing images are available now. Understanding these images in semantic level is of great significance. Hence, a deep multimodal neural network model for semantic understanding of the high resolution remote sensing images is proposed in this paper, which uses both visual and textual information of the high resolution remote sensing images to generate natural sentences describing the given images. In the proposed model, the convolution neural network is utilized to extract the image feature, which is then combined with the text descriptions of the images by RNN or LSTMs. And in the experiments, two new remote sensing image-captions datasets are built at first. Then different kinds of CNNs with RNN or LSTMs are combined to find which is the best combination for caption generation. The experiments results prove that the proposed method achieves good performances in semantic understanding of high resolution remote sensing images.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125678439","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546386
Yamin Li, Wanming Chu
This paper describes digit-by-digit integer restoring and non-restoring algorithms for computing the cube root of a 33-bit radicand and gives improved methods for the implementations of the algorithms to speed up the computations. The methods include calculating multiplication products in advance with additions and using carry save adders (CSAs) to calculate the partial remainder at each iteration. The cost/performance is evaluated by implementing the algorithms on an FPGA chip. The results show that the CSA methods achieve performance speedups of 199.63% and 177.06%, for restoring and non-restoring cube root algorithms, respectively.
{"title":"On the improved implementations and performance evaluation of digit-by-digit integer restoring and non-restoring cube root algorithms","authors":"Yamin Li, Wanming Chu","doi":"10.1109/CITS.2016.7546386","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546386","url":null,"abstract":"This paper describes digit-by-digit integer restoring and non-restoring algorithms for computing the cube root of a 33-bit radicand and gives improved methods for the implementations of the algorithms to speed up the computations. The methods include calculating multiplication products in advance with additions and using carry save adders (CSAs) to calculate the partial remainder at each iteration. The cost/performance is evaluated by implementing the algorithms on an FPGA chip. The results show that the CSA methods achieve performance speedups of 199.63% and 177.06%, for restoring and non-restoring cube root algorithms, respectively.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124398160","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 : 2016-07-06DOI: 10.1109/CITS.2016.7546402
Saadullah Kalwar, F. Umrani, M. Magarini
Long Term Evolution (LTE) is getting popularity among cellular service providers throughout the World and it is going to dominate cellular systems in coming years. According to 3GPP specifications, LTE adopts Orthogonal Frequency-Division Multiplexing (OFDM) as modulation scheme in the downlink. The problem of systems based on OFDM is that they are prone to Carrier Frequency Offset (CFO). In uplink, LTE uses Single-Carrier Frequency Division Multiple Access (SC-FDMA) instead of OFDM. The main reason of its use is the better peak-to-average power ratio performance in comparison to OFDM, a property required in uplink to increase the duration of the battery of the user device. As OFDM, also SC-FDMA suffers with the problem of CFO. In this paper, a CFO estimation method for LTE uplink is analyzed and simulated by using MATLAB. The proposed method, termed feedback method, uses demodulation reference signals to estimate the CFO. After estimation of CFO, its effect is compensated in time-domain by multiplication with a linear phase.
{"title":"Feedback method for estimation and compensation of carrier frequency offset in LTE uplink","authors":"Saadullah Kalwar, F. Umrani, M. Magarini","doi":"10.1109/CITS.2016.7546402","DOIUrl":"https://doi.org/10.1109/CITS.2016.7546402","url":null,"abstract":"Long Term Evolution (LTE) is getting popularity among cellular service providers throughout the World and it is going to dominate cellular systems in coming years. According to 3GPP specifications, LTE adopts Orthogonal Frequency-Division Multiplexing (OFDM) as modulation scheme in the downlink. The problem of systems based on OFDM is that they are prone to Carrier Frequency Offset (CFO). In uplink, LTE uses Single-Carrier Frequency Division Multiple Access (SC-FDMA) instead of OFDM. The main reason of its use is the better peak-to-average power ratio performance in comparison to OFDM, a property required in uplink to increase the duration of the battery of the user device. As OFDM, also SC-FDMA suffers with the problem of CFO. In this paper, a CFO estimation method for LTE uplink is analyzed and simulated by using MATLAB. The proposed method, termed feedback method, uses demodulation reference signals to estimate the CFO. After estimation of CFO, its effect is compensated in time-domain by multiplication with a linear phase.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127719612","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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