Pub Date : 2011-09-01DOI: 10.1109/ICAWST.2011.6163176
Xirui Zhang, Zhiwen Liu, Yougen Xu, Xiaofeng Gong
A novel tensor-based beamforming algorithm via multi-translation-invariant vector-sensor array is proposed. Largely different from the traditional ones, the spatial filtering is carried out on both macroscopic scale (between subarrays) and microscopic scale (between sensors of each subarray) in the new algorithm, in order to obtain the beamformer output. With different weight vectors being used in each scale, performance dominance of diverse algorithms can be combined effectively. Moreover, the contraction of covariance tensor implies smoothing operation to reduce the singularity of dual-scale covariance matrices. Consequently, the robustness of proposed algorithm to look direction and element position mismatch is increased in the case of high input-SNR (Signal-to-Noise-Ratio). Theoretical analysis and numerical simulations indicate that Dual-Scale-Combined (DSC) algorithm outperforms traditional beamformer in terms of robustness and convergence rate.
{"title":"Adaptive fourth-order tensor beamformer","authors":"Xirui Zhang, Zhiwen Liu, Yougen Xu, Xiaofeng Gong","doi":"10.1109/ICAWST.2011.6163176","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163176","url":null,"abstract":"A novel tensor-based beamforming algorithm via multi-translation-invariant vector-sensor array is proposed. Largely different from the traditional ones, the spatial filtering is carried out on both macroscopic scale (between subarrays) and microscopic scale (between sensors of each subarray) in the new algorithm, in order to obtain the beamformer output. With different weight vectors being used in each scale, performance dominance of diverse algorithms can be combined effectively. Moreover, the contraction of covariance tensor implies smoothing operation to reduce the singularity of dual-scale covariance matrices. Consequently, the robustness of proposed algorithm to look direction and element position mismatch is increased in the case of high input-SNR (Signal-to-Noise-Ratio). Theoretical analysis and numerical simulations indicate that Dual-Scale-Combined (DSC) algorithm outperforms traditional beamformer in terms of robustness and convergence rate.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126256256","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163139
Yu Shuang Lin, R. Chen, Yu-Cheng Lin
Many researchers have used varied technologies to perform the action of indoor position location tracking. In our research, we will propose methods using RFID tags to perform indoor position location tracking. First, we uses RFID to collect Received Signal Strength (RSS) from reference tags beforehand, and then uses multiple neuro networks models to do the indoor position location learning. Next, genetic algorithm is used to find the weight of each neural network. Finally, when the track tags are set up in indoor environments, they can find the position of neighboring reference tags by using the neuro networks and an arithmetic mean to calculate the position location values; with this method we are able to break figures down to track tag position locations. We conducted this experiment to prove that our methodology can provide better accuracy than the single neural network. We conducted this experiments to test the system performace and accuracy.
{"title":"An indoor location identification system based on neural network and genetic algorithm","authors":"Yu Shuang Lin, R. Chen, Yu-Cheng Lin","doi":"10.1109/ICAWST.2011.6163139","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163139","url":null,"abstract":"Many researchers have used varied technologies to perform the action of indoor position location tracking. In our research, we will propose methods using RFID tags to perform indoor position location tracking. First, we uses RFID to collect Received Signal Strength (RSS) from reference tags beforehand, and then uses multiple neuro networks models to do the indoor position location learning. Next, genetic algorithm is used to find the weight of each neural network. Finally, when the track tags are set up in indoor environments, they can find the position of neighboring reference tags by using the neuro networks and an arithmetic mean to calculate the position location values; with this method we are able to break figures down to track tag position locations. We conducted this experiment to prove that our methodology can provide better accuracy than the single neural network. We conducted this experiments to test the system performace and accuracy.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121334667","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163127
Yan Zhuang, Shengpeng Yang, Xiaotao Li, Wei Wang
In this paper, we describe a visual odometry algorithm based on a novel 3D range data registration approach for mobile robot. Considering traditional range image's limited adaptability in outdoor environment representation, a Bearing Angle model is used in this paper so that local SIFT (Scale-invariant feature transform) features can be extracted and matched effectively. According to the one-to-one correspondence between Bearing Angle image and raw 3D laser data, we can obtain a group of matching pairs between any two successive laser scans, which can be used to accomplish the 3D range data registration. Compared to the conventional ICP (Iterative Closest Point) algorithm, this approach can greatly improve the performance of scan registration both in computation time and accuracy. Furthermore, no initial rough pose estimation is needed in the registration. The frame-to-frame motion estimate can be performed by using the relative pose estimations resulting from the registration. Finally, experimental results are provided to demonstrate the effectiveness of the proposed visual odometry algorithm during the wheel odometry is unavailable or GPS (Global Positioning System) signal outages.
{"title":"3D-laser-based visual odometry for autonomous mobile robot in outdoor environments","authors":"Yan Zhuang, Shengpeng Yang, Xiaotao Li, Wei Wang","doi":"10.1109/ICAWST.2011.6163127","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163127","url":null,"abstract":"In this paper, we describe a visual odometry algorithm based on a novel 3D range data registration approach for mobile robot. Considering traditional range image's limited adaptability in outdoor environment representation, a Bearing Angle model is used in this paper so that local SIFT (Scale-invariant feature transform) features can be extracted and matched effectively. According to the one-to-one correspondence between Bearing Angle image and raw 3D laser data, we can obtain a group of matching pairs between any two successive laser scans, which can be used to accomplish the 3D range data registration. Compared to the conventional ICP (Iterative Closest Point) algorithm, this approach can greatly improve the performance of scan registration both in computation time and accuracy. Furthermore, no initial rough pose estimation is needed in the registration. The frame-to-frame motion estimate can be performed by using the relative pose estimations resulting from the registration. Finally, experimental results are provided to demonstrate the effectiveness of the proposed visual odometry algorithm during the wheel odometry is unavailable or GPS (Global Positioning System) signal outages.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123091089","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163183
R. Kozma
A dynamical system-based approach to awareness is outlined. Awareness is an important component of intelligence as the system evolves through a sequence dynamical changes upon its interaction with the environment. Awareness is inherently rooted in the individual as a nonlinear system far from equilibrium. Recent cognitive experiments with spatio-temporal neurodynamics indicate large-scale intermittent synchronization-desynchronization effects as important hallmarks of awareness in biological systems. These results serve a mathematical framework to create computationally aware artificial designs.
{"title":"Neural correlates of awareness in brains and in man-made devices","authors":"R. Kozma","doi":"10.1109/ICAWST.2011.6163183","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163183","url":null,"abstract":"A dynamical system-based approach to awareness is outlined. Awareness is an important component of intelligence as the system evolves through a sequence dynamical changes upon its interaction with the environment. Awareness is inherently rooted in the individual as a nonlinear system far from equilibrium. Recent cognitive experiments with spatio-temporal neurodynamics indicate large-scale intermittent synchronization-desynchronization effects as important hallmarks of awareness in biological systems. These results serve a mathematical framework to create computationally aware artificial designs.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126578985","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163153
Hui Liu, Xiang Liu, K. Chou
Identifying the cleavage sites in proteins by HIV protease will greatly expedite the pace in searching for proper inhibitors of HIV protease. In this study, we focus on how many subsites are needed for predicting the cleavage sites. Using the rough set theory of information gain and reduct to search for the minimal and optimal subsites set, we found that, instead of the 8-subsite octapeptide model as usually adopted, the 6-subsite hexapeptide model would suffice to obtain equally good or even slightly better results. To verify the conclusion, prediction with the 6-subsite hexapeptide mode and the 8-subsite octapeptide model are both studied. And the predictive rate and ROC curve are also reported. Such a finding not only suggests many tedious labors could be avoided in synthesizing peptide inhibitor candidates, but also implies it would be possible to design smaller peptide drugs based on the distorted key theory.
{"title":"Minimal and optimal subsites set of HIV-1 protease cleavage site based on rough set","authors":"Hui Liu, Xiang Liu, K. Chou","doi":"10.1109/ICAWST.2011.6163153","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163153","url":null,"abstract":"Identifying the cleavage sites in proteins by HIV protease will greatly expedite the pace in searching for proper inhibitors of HIV protease. In this study, we focus on how many subsites are needed for predicting the cleavage sites. Using the rough set theory of information gain and reduct to search for the minimal and optimal subsites set, we found that, instead of the 8-subsite octapeptide model as usually adopted, the 6-subsite hexapeptide model would suffice to obtain equally good or even slightly better results. To verify the conclusion, prediction with the 6-subsite hexapeptide mode and the 8-subsite octapeptide model are both studied. And the predictive rate and ROC curve are also reported. Such a finding not only suggests many tedious labors could be avoided in synthesizing peptide inhibitor candidates, but also implies it would be possible to design smaller peptide drugs based on the distorted key theory.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126598293","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163164
M. Yokota
Mental Image Directed Semantic Theory (MIDST) has proposed an omnisensory mental image model and its description language Lmd. This language can provide multimedia expressions with intermediate semantic descriptions in predicate logic. This paper describes systematic and efficient computing guided by Lmd expression and 3D map data, here so called direct knowledge of space, in cross-media operation between linguistic and pictorial expressions as spatial language understanding.
{"title":"Aware computing guided by Lmd expression and direct knowledge in spatial language understanding","authors":"M. Yokota","doi":"10.1109/ICAWST.2011.6163164","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163164","url":null,"abstract":"Mental Image Directed Semantic Theory (MIDST) has proposed an omnisensory mental image model and its description language Lmd. This language can provide multimedia expressions with intermediate semantic descriptions in predicate logic. This paper describes systematic and efficient computing guided by Lmd expression and 3D map data, here so called direct knowledge of space, in cross-media operation between linguistic and pictorial expressions as spatial language understanding.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"260 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120896216","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163087
S. Don, Eumin Choi, D. Min
This paper presents a conceptual architecture of activity based risk analysis for monitoring the health status of the patients in their residence. By incorporating the patient records and medical domain knowledge, it will be easy to detect and prevent accidental events immediately even if the patient is not in the hospital. Data are collected using wearable sensors and transmitted to server using a smart phone through internet or mobile network. The received events are filtered, aggregated and predicted based on the concept of Situation Awareness. This gives high level information that can surpass the patient conditions. However, building this high level information is still an open challenge. To demonstrate the feasibility of the proposed system, some application scenarios are considered.
{"title":"A situation aware framework for activity based risk analysis of patient monitoring system","authors":"S. Don, Eumin Choi, D. Min","doi":"10.1109/ICAWST.2011.6163087","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163087","url":null,"abstract":"This paper presents a conceptual architecture of activity based risk analysis for monitoring the health status of the patients in their residence. By incorporating the patient records and medical domain knowledge, it will be easy to detect and prevent accidental events immediately even if the patient is not in the hospital. Data are collected using wearable sensors and transmitted to server using a smart phone through internet or mobile network. The received events are filtered, aggregated and predicted based on the concept of Situation Awareness. This gives high level information that can surpass the patient conditions. However, building this high level information is still an open challenge. To demonstrate the feasibility of the proposed system, some application scenarios are considered.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128074588","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163119
Bingzhi Gao, Zhilei Wang, Xiaoli Li, Yixin Yin
As the important secondary energy in iron and steel enterprises, the reasonable selection of scheduling model and optimization method of gas is significant for the reduction of gas diffusion and the increase of economic benefits. Considering the production status of an iron and steel enterprise in Hebei Province, a gas scheduling model is derived. Based on this model, a relatively optimal scheduling strategy is given by using simplex method optimization algorithm.
{"title":"Optimizing and modeling of gas scheduling system in iron and steel enterprises","authors":"Bingzhi Gao, Zhilei Wang, Xiaoli Li, Yixin Yin","doi":"10.1109/ICAWST.2011.6163119","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163119","url":null,"abstract":"As the important secondary energy in iron and steel enterprises, the reasonable selection of scheduling model and optimization method of gas is significant for the reduction of gas diffusion and the increase of economic benefits. Considering the production status of an iron and steel enterprise in Hebei Province, a gas scheduling model is derived. Based on this model, a relatively optimal scheduling strategy is given by using simplex method optimization algorithm.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115641386","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163088
Wenshuai Yin, Xiangbo Lin, Yi Sun
This article describes a novel framework for low-light colour image enhancement and denoising. To avoid influences from different colour channels, noise reduction and brightness/contrast enhancement are performed in different colour spaces. In the HSI space, the Bilateral filter is used for illumination- and reflection-component separation, and is effective for edge-preservation, halo removal and noise suppression. Brightness/contrast are extrapolated by using a newly designed histogram, where a suppression term based on the statistics of mathematical expectation and standard deviation was added to improve the algorithm's adaptability. Meanwhile, a saturation enhancement function was proposed to ensure more natural colours. In the YCbCr space, based on noise characteristics in low-light images, Gaussian and Median filters were adopted to reduce the noise. Experimental results indicate that the algorithm is effective for low illumination compensation, colour restoration and noise reduction.
{"title":"A novel framework for low-light colour image enhancement and denoising","authors":"Wenshuai Yin, Xiangbo Lin, Yi Sun","doi":"10.1109/ICAWST.2011.6163088","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163088","url":null,"abstract":"This article describes a novel framework for low-light colour image enhancement and denoising. To avoid influences from different colour channels, noise reduction and brightness/contrast enhancement are performed in different colour spaces. In the HSI space, the Bilateral filter is used for illumination- and reflection-component separation, and is effective for edge-preservation, halo removal and noise suppression. Brightness/contrast are extrapolated by using a newly designed histogram, where a suppression term based on the statistics of mathematical expectation and standard deviation was added to improve the algorithm's adaptability. Meanwhile, a saturation enhancement function was proposed to ensure more natural colours. In the YCbCr space, based on noise characteristics in low-light images, Gaussian and Median filters were adopted to reduce the noise. Experimental results indicate that the algorithm is effective for low illumination compensation, colour restoration and noise reduction.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128496634","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 : 2011-09-01DOI: 10.1109/ICAWST.2011.6163130
Junrong Gu, Wenglong Liu, Sungjeen Jang, J. Kim
Most of current spectrum sensing methods assume the probability density functions (PDFs) about some parameters are known beforehand. However, in most practical applications, the communication environments usually vary with time. The presumed PDF estimated previously might be different from the actual one. It will degrade the performance of most spectrum sensing methods dramatically. In this paper, we propose a robust approach to address this problem. The weighted Empirical Likelihood Ratio Test (ELRT) is an effective method in statistical mathematics which can improve the robustness against the effect of imprecise knowledge of PDF under small sample size. The weighted ELRT obtains the robustness by re-weighting the contributions of actual PDF to likelihood. We employ the weighted ELRT in spectrum sensing, and term this new method as weighted ELRT-based robust spectrum sensing. Simulation results corroborate the performance of the proposed method over those of conventional ones.
目前大多数的频谱传感方法都假定某些参数的概率密度函数是事先已知的。然而，在大多数实际应用中，通信环境通常随时间而变化。先前估计的假定PDF可能与实际PDF不同。这将大大降低大多数频谱传感方法的性能。在本文中，我们提出了一个健壮的方法来解决这个问题。加权经验似然比检验(weighted Empirical Likelihood Ratio Test, ELRT)是统计数学中一种有效的方法，可以提高统计数学在小样本量下对PDF知识不精确影响的稳健性。加权ELRT通过重新加权实际PDF对似然的贡献来获得鲁棒性。我们将加权ELRT用于频谱感知，并将这种新方法称为基于加权ELRT的鲁棒频谱感知。仿真结果验证了该方法优于传统方法的有效性。
{"title":"A weighted ELRT-based robust spectrum sensing algorithm","authors":"Junrong Gu, Wenglong Liu, Sungjeen Jang, J. Kim","doi":"10.1109/ICAWST.2011.6163130","DOIUrl":"https://doi.org/10.1109/ICAWST.2011.6163130","url":null,"abstract":"Most of current spectrum sensing methods assume the probability density functions (PDFs) about some parameters are known beforehand. However, in most practical applications, the communication environments usually vary with time. The presumed PDF estimated previously might be different from the actual one. It will degrade the performance of most spectrum sensing methods dramatically. In this paper, we propose a robust approach to address this problem. The weighted Empirical Likelihood Ratio Test (ELRT) is an effective method in statistical mathematics which can improve the robustness against the effect of imprecise knowledge of PDF under small sample size. The weighted ELRT obtains the robustness by re-weighting the contributions of actual PDF to likelihood. We employ the weighted ELRT in spectrum sensing, and term this new method as weighted ELRT-based robust spectrum sensing. Simulation results corroborate the performance of the proposed method over those of conventional ones.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630630","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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