Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5301338
Xianwen Yang, Zheng Li
Based on the existing researches of joint sparse form (JSF), a new five-element JSF is proposed in this paper. For every pair of integers with l binary representations length, it is proved that the average joint hamming weight of its new five- element JSF is 0.333l. Besides, Lee et al proposed a point multiplication algorithm of elliptic curve over GF(2 mn ) with 10≤m≤20, in which Frobenius map was used to expand the integer k and each coefficient of the expansion is represented as a binary string. In this paper, with the application of the new five- element JSF to the coefficients, some variations of Lee et al's algorithm are proposed, and it can achieve a better performance with a few more storages.
{"title":"A Combination of a New Five-Element JSF and Frobenius Map in Point Multiplication of ECC Over GF(2mn)","authors":"Xianwen Yang, Zheng Li","doi":"10.1109/CISP.2009.5301338","DOIUrl":"https://doi.org/10.1109/CISP.2009.5301338","url":null,"abstract":"Based on the existing researches of joint sparse form (JSF), a new five-element JSF is proposed in this paper. For every pair of integers with l binary representations length, it is proved that the average joint hamming weight of its new five- element JSF is 0.333l. Besides, Lee et al proposed a point multiplication algorithm of elliptic curve over GF(2 mn ) with 10≤m≤20, in which Frobenius map was used to expand the integer k and each coefficient of the expansion is represented as a binary string. In this paper, with the application of the new five- element JSF to the coefficients, some variations of Lee et al's algorithm are proposed, and it can achieve a better performance with a few more storages.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134414685","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}
Digital holography is a kind of optical information processing technology with digital method. It is a combination of traditional holography and modern electronic technology. By the way of recording and processing the holographic image by digital method, it is not adopted the traditional holographic photographic way of chemical processing, so that the processing is simplified. It is also convenient to improve the quality of the image and to extract the needed information by digital image processing. In this paper, charged coupled device (CCD) has been applied to holographic interferometry combined with electrical addressable liquid crystal display (EALCD), which adds new content and method to the development and application of holography. On the basis of theory analysis, a new method that combined image plane hologram with doubleexposure holographic interferometry, and combined CCD with EALCD is used in three dimensional deformation measurements. This method has been improved feasible by optical experiment. Keywords-digital holography; CCD; EALCD; deformation measurement; digital image processing; image plane holography
{"title":"Three Dimensional Deformation Measurements with Digital Holography","authors":"Zhenjie Fan, Haojun Pang, Wensheng Wang, Chengda Ning, Fei Guo","doi":"10.1109/CISP.2009.5304345","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304345","url":null,"abstract":"Digital holography is a kind of optical information processing technology with digital method. It is a combination of traditional holography and modern electronic technology. By the way of recording and processing the holographic image by digital method, it is not adopted the traditional holographic photographic way of chemical processing, so that the processing is simplified. It is also convenient to improve the quality of the image and to extract the needed information by digital image processing. In this paper, charged coupled device (CCD) has been applied to holographic interferometry combined with electrical addressable liquid crystal display (EALCD), which adds new content and method to the development and application of holography. On the basis of theory analysis, a new method that combined image plane hologram with doubleexposure holographic interferometry, and combined CCD with EALCD is used in three dimensional deformation measurements. This method has been improved feasible by optical experiment. Keywords-digital holography; CCD; EALCD; deformation measurement; digital image processing; image plane holography","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134440693","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 : 2009-10-30DOI: 10.1109/CISP.2009.5301401
Yang-zhi Wang, Chengqian Xu, Xin Li
� � Abstract— In this paper, a new method for constructing zero correlation zone (ZCZ) sequence set is proposed. The proposed method can generate two kinds of ZCZ sequence sets. One is based on perfect sequence, the other is based on perfect sequence pair. Compared with previous methods, the proposed method only need an orthogonal matrix of order 2 or 3. The resulting sequence sets or sequence pair sets are optimal with respect to the theoretic bound.
{"title":"Discussion on the Construction of Optimal ZCZ Sequence Set","authors":"Yang-zhi Wang, Chengqian Xu, Xin Li","doi":"10.1109/CISP.2009.5301401","DOIUrl":"https://doi.org/10.1109/CISP.2009.5301401","url":null,"abstract":"� � Abstract— In this paper, a new method for constructing zero correlation zone (ZCZ) sequence set is proposed. The proposed method can generate two kinds of ZCZ sequence sets. One is based on perfect sequence, the other is based on perfect sequence pair. Compared with previous methods, the proposed method only need an orthogonal matrix of order 2 or 3. The resulting sequence sets or sequence pair sets are optimal with respect to the theoretic bound.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134531132","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 : 2009-10-30DOI: 10.1109/CISP.2009.5303588
Wen-jing Zeng, Tiedong Zhang, Yan Ma
A novel data association algorithm based on max-min ant system (MMAS) is proposed to solve the data associations of SLAM. By the advantages of MMAS in resolving the general assignment problem (GAP), the problem of data association was transformed into the problem of combination and optimization, and the ant colony algorithm was used to associate the measurements with features according to the joint compatible rule. At last, the presented algorithm was compared with other data association methods. The results obtained show the superiority of the presented method in data association of SLAM. It reduces computation cost efficiently on the condition of remaining certain correct associations, and it is an available method to deal with the problem on data association of SLAM.
{"title":"A Novel Data Association Approach of SLAM","authors":"Wen-jing Zeng, Tiedong Zhang, Yan Ma","doi":"10.1109/CISP.2009.5303588","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303588","url":null,"abstract":"A novel data association algorithm based on max-min ant system (MMAS) is proposed to solve the data associations of SLAM. By the advantages of MMAS in resolving the general assignment problem (GAP), the problem of data association was transformed into the problem of combination and optimization, and the ant colony algorithm was used to associate the measurements with features according to the joint compatible rule. At last, the presented algorithm was compared with other data association methods. The results obtained show the superiority of the presented method in data association of SLAM. It reduces computation cost efficiently on the condition of remaining certain correct associations, and it is an available method to deal with the problem on data association of SLAM.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134274854","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 : 2009-10-30DOI: 10.1109/CISP.2009.5304631
Henglei Zhang, Tianyou Liu
Noise has traditionally been suppressed or eliminated in seismic data sets by the use of Fourier analysis filters and, to a lesser degree, nonlinear statistical filters. Although these methods are quite useful under specific conditions, they produce undesirable effects when denoising features of moderate to large amplitude and spatial extent, especially for the low S/N data. In this paper, a new method of de-noise in curvelet domain with non-linear thresholding is proposed: on the basis of curvelet multi-scale decomposition in good approximation of the curve variation characteristics, the author used non-linear threshold to address seismic data in curvelet domain. Through calculation of seismic data, we find out the method can suppress the random noise effectively while the effective wave can be maintained, the signal to noise ratio of the result is higher than the traditional method's. At the same time, it overcomes the drawback that the conventional filtering approach may affect the effective wave when suppressing noise.
{"title":"Noise Attenuation for Seismic Signal by Non-Linear Thresholding in Curvelet Domain","authors":"Henglei Zhang, Tianyou Liu","doi":"10.1109/CISP.2009.5304631","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304631","url":null,"abstract":"Noise has traditionally been suppressed or eliminated in seismic data sets by the use of Fourier analysis filters and, to a lesser degree, nonlinear statistical filters. Although these methods are quite useful under specific conditions, they produce undesirable effects when denoising features of moderate to large amplitude and spatial extent, especially for the low S/N data. In this paper, a new method of de-noise in curvelet domain with non-linear thresholding is proposed: on the basis of curvelet multi-scale decomposition in good approximation of the curve variation characteristics, the author used non-linear threshold to address seismic data in curvelet domain. Through calculation of seismic data, we find out the method can suppress the random noise effectively while the effective wave can be maintained, the signal to noise ratio of the result is higher than the traditional method's. At the same time, it overcomes the drawback that the conventional filtering approach may affect the effective wave when suppressing noise.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134389530","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 : 2009-10-30DOI: 10.1109/CISP.2009.5302445
Hai-yun Xu, R. Veldhuis
The investigation of the privacy protection of biometric templates gains more and more attention. The spectral minutiae representation is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation and scaling become translations, so that they can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with template protection schemes that require as an input a fixed-length feature vector. However, the limited overlap of a fingerprint pair can reduce the performance of the spectral minutiae representation algorithm. Therefore, in this paper, we introduce the spectral representations of fingerprint minutiae subsets to cope with the limited overlap problem. In the experiment, we improve the recognition performance from 0.32% to 0.12% in equal error rate after applying the spectral representations of minutiae subsets algorithm.
{"title":"Spectral Representations of Fingerprint Minutiae Subsets","authors":"Hai-yun Xu, R. Veldhuis","doi":"10.1109/CISP.2009.5302445","DOIUrl":"https://doi.org/10.1109/CISP.2009.5302445","url":null,"abstract":"The investigation of the privacy protection of biometric templates gains more and more attention. The spectral minutiae representation is a novel method to represent a minutiae set as a fixed-length feature vector, which is invariant to translation, and in which rotation and scaling become translations, so that they can be easily compensated for. These characteristics enable the combination of fingerprint recognition systems with template protection schemes that require as an input a fixed-length feature vector. However, the limited overlap of a fingerprint pair can reduce the performance of the spectral minutiae representation algorithm. Therefore, in this paper, we introduce the spectral representations of fingerprint minutiae subsets to cope with the limited overlap problem. In the experiment, we improve the recognition performance from 0.32% to 0.12% in equal error rate after applying the spectral representations of minutiae subsets algorithm.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131573960","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 : 2009-10-30DOI: 10.1109/CISP.2009.5305618
Yujian Wang, Jiazheng Yuan, Lili Fan, Zhiguo Liu
In order to improve the accuracy of multi-spectra remote sensing image classification, a terrain classification method based on support vector machine is proposed. A remote sensing image classification method based on SVM algorithm of C-SVC type is introduced and emphasis is put on the study of the improved SMO algorithm. In order to improve efficiency of classification, multiple-spectra remote sensing image classification of terrain is classified using fuzzy clustering based on fuzzy c-means algorithm which adopt semi-supervised improved algorithm. The experimental results show that the approach has an advantage over traditional classification methods.
{"title":"Application Research of Support Vector Machine in Multi-Spectra Remote Sensing Image Classification","authors":"Yujian Wang, Jiazheng Yuan, Lili Fan, Zhiguo Liu","doi":"10.1109/CISP.2009.5305618","DOIUrl":"https://doi.org/10.1109/CISP.2009.5305618","url":null,"abstract":"In order to improve the accuracy of multi-spectra remote sensing image classification, a terrain classification method based on support vector machine is proposed. A remote sensing image classification method based on SVM algorithm of C-SVC type is introduced and emphasis is put on the study of the improved SMO algorithm. In order to improve efficiency of classification, multiple-spectra remote sensing image classification of terrain is classified using fuzzy clustering based on fuzzy c-means algorithm which adopt semi-supervised improved algorithm. The experimental results show that the approach has an advantage over traditional classification methods.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131627021","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 : 2009-10-30DOI: 10.1109/CISP.2009.5305444
Yijun Li, Junying Zhang, Hong Yin, Hongbing Lu
MRI studies in post-traumatic stress disorder (PTSD) have focused primarily on manual based hippocampal volumetry, which is located in the subcortical. However, the cortical reduction or increase caused especially by thickness changes has not been well investigated. Recent advances in computational analysis provide new opportunities to use fully automatic techniques to measure cortical thickness, along with a method called voxel-based morphometry that enables an exploration of structural changes throughout the brain by applying statistical parametric mapping (SPM) to high-resolution MRI. In this paper, Laplacian method was used to estimate cortical thickness and the thickness maps were analyzed by SPM5. Comparison was performed between 14 survivors of mining disaster with PTSD and 11 survivors of the same event without PTSD. The results indicate that in the cingulate gyrus and temporal gyrus, the cortical thickness of survivors with PTSD is larger than those without PTSD.
{"title":"Analysis of Cortical Thickness Indicating Cingulate Gyrus and Temporal Gyrus Incrassation in Posttraumatic Stress Disorder Due to Mining Disaster","authors":"Yijun Li, Junying Zhang, Hong Yin, Hongbing Lu","doi":"10.1109/CISP.2009.5305444","DOIUrl":"https://doi.org/10.1109/CISP.2009.5305444","url":null,"abstract":"MRI studies in post-traumatic stress disorder (PTSD) have focused primarily on manual based hippocampal volumetry, which is located in the subcortical. However, the cortical reduction or increase caused especially by thickness changes has not been well investigated. Recent advances in computational analysis provide new opportunities to use fully automatic techniques to measure cortical thickness, along with a method called voxel-based morphometry that enables an exploration of structural changes throughout the brain by applying statistical parametric mapping (SPM) to high-resolution MRI. In this paper, Laplacian method was used to estimate cortical thickness and the thickness maps were analyzed by SPM5. Comparison was performed between 14 survivors of mining disaster with PTSD and 11 survivors of the same event without PTSD. The results indicate that in the cingulate gyrus and temporal gyrus, the cortical thickness of survivors with PTSD is larger than those without PTSD.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126594911","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 : 2009-10-30DOI: 10.1109/CISP.2009.5304160
Lin Lin Xiong, Zhong Wang, Xin Wang
Saws are important tools of cutting process in industrial production. However there are often wasters with surface defects due to processing technique, therefore the detection of surface defects of saws is crucial to the quality. This paper concerns the segmentation of brazing-area of saw. Considering real-time request of the detection, Otsu method which is simple and rapid was used. HSV color space which is similar to visual model was chosen. Gray space Otsu algorithm and color space double-threshold segmentation based on Otsu in paper (13) were compared with method combined H-S information in HSV color space with Otsu in this paper. The results show that the algorithm in this paper has a good effect and can meet real-time demand.
{"title":"Research of Double-Threshold Segmentation of Brazing-Area Defect of Saw Based on Otsu and HSV Color Space","authors":"Lin Lin Xiong, Zhong Wang, Xin Wang","doi":"10.1109/CISP.2009.5304160","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304160","url":null,"abstract":"Saws are important tools of cutting process in industrial production. However there are often wasters with surface defects due to processing technique, therefore the detection of surface defects of saws is crucial to the quality. This paper concerns the segmentation of brazing-area of saw. Considering real-time request of the detection, Otsu method which is simple and rapid was used. HSV color space which is similar to visual model was chosen. Gray space Otsu algorithm and color space double-threshold segmentation based on Otsu in paper (13) were compared with method combined H-S information in HSV color space with Otsu in this paper. The results show that the algorithm in this paper has a good effect and can meet real-time demand.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701483","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 : 2009-10-30DOI: 10.1109/CISP.2009.5303020
Limei Song, Long Wang
It's a difficult problem in three-dimensional visual measurement to improve the precision and accuracy of stereo matching. In this paper, a Thin Line Power Increase (TLPI) stereo matching method used in high-precision three- dimensional visual measurement is designed. It's a coding and stereo matching method which combines the second power increases method, the step moving method, the difference shadow method, the progressive decrease method and the stereo matching method. Through the combination of the second power increases method and the step moving method, the projectile optical information can cover all the measured object space. Through the difference shadow method, the background interference of the measured space can be wiped off. Through the progressive decrease method, the searching range of the optical information can be narrowed; the speed and the precision of optical information matching will be improved. Through the stereo matching method, the three-dimensional coordinate of object can be calculated. The Thin Line Power Increase method designed by this paper can solve the problem of misjudgment and improve the precision and reliability of three-dimensional measurement.
提高立体匹配的精度和准确度是三维视觉测量中的一个难题。本文设计了一种用于高精度三维视觉测量的TLPI (Thin Line Power Increase)立体匹配方法。它是一种结合二次幂增加法、阶跃移动法、差影法、逐级递减法和立体匹配法的编码和立体匹配方法。通过二次幂增加法和阶跃移动法的结合，使弹丸光学信息覆盖整个被测目标空间。通过差影法可以消除被测空间的背景干扰。通过逐级递减法，可以缩小光信息的搜索范围;提高了光信息匹配的速度和精度。通过立体匹配法，可以计算出物体的三维坐标。本文设计的细线功率增加方法可以解决三维测量的误判问题，提高三维测量的精度和可靠性。
{"title":"A Thin Line Power Increase Stereo Matching Method Used in High-Precision Three-Dimensional Measurement","authors":"Limei Song, Long Wang","doi":"10.1109/CISP.2009.5303020","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303020","url":null,"abstract":"It's a difficult problem in three-dimensional visual measurement to improve the precision and accuracy of stereo matching. In this paper, a Thin Line Power Increase (TLPI) stereo matching method used in high-precision three- dimensional visual measurement is designed. It's a coding and stereo matching method which combines the second power increases method, the step moving method, the difference shadow method, the progressive decrease method and the stereo matching method. Through the combination of the second power increases method and the step moving method, the projectile optical information can cover all the measured object space. Through the difference shadow method, the background interference of the measured space can be wiped off. Through the progressive decrease method, the searching range of the optical information can be narrowed; the speed and the precision of optical information matching will be improved. Through the stereo matching method, the three-dimensional coordinate of object can be calculated. The Thin Line Power Increase method designed by this paper can solve the problem of misjudgment and improve the precision and reliability of three-dimensional measurement.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131201111","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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