Pub Date : 1900-01-01DOI: 10.1109/ICIA.2005.1635086
D. Lai, D.H. Wang
A novel approach to make magnetorheological (MR) dampers self-sensing based on the magnetic flux linkage measurement and the working principle of an integrated relative displacement sensor (IRDS) integrated into a commercially available MR damper are presented. The IRDS mainly comprises an exciting coil wound on the piston head and an induction coil wound on the nonmagnetic cylinder, which is covered by a cylindrical cover made from the materials with high magnetic permeability. In order to validate and optimize the performance of the IRDS, the modeling and analyzing with the finite element method based on ANSYS are carried out and the simulation results are presented.
{"title":"An integrated relative displacement sensor for magnetorheological damper","authors":"D. Lai, D.H. Wang","doi":"10.1109/ICIA.2005.1635086","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635086","url":null,"abstract":"A novel approach to make magnetorheological (MR) dampers self-sensing based on the magnetic flux linkage measurement and the working principle of an integrated relative displacement sensor (IRDS) integrated into a commercially available MR damper are presented. The IRDS mainly comprises an exciting coil wound on the piston head and an induction coil wound on the nonmagnetic cylinder, which is covered by a cylindrical cover made from the materials with high magnetic permeability. In order to validate and optimize the performance of the IRDS, the modeling and analyzing with the finite element method based on ANSYS are carried out and the simulation results are presented.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133618756","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635063
Z. Cao, Xiaoxiao Liu, Bo Peng, Y. Moon
In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in X-ray image sequences. Different with traditional DSA image registration processes, in our proposed image registration method, the control points are selected from the vessel centerlines using multiscale Gabor filters, and mutual information (MI) is then taken as the similarity criterion to find the correspondences. Experimental results demonstrate our algorithm efficiently yields satisfying registration result for DSA images.
{"title":"DSA image registration based on multiscale Gabor filters and mutual information","authors":"Z. Cao, Xiaoxiao Liu, Bo Peng, Y. Moon","doi":"10.1109/ICIA.2005.1635063","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635063","url":null,"abstract":"In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in X-ray image sequences. Different with traditional DSA image registration processes, in our proposed image registration method, the control points are selected from the vessel centerlines using multiscale Gabor filters, and mutual information (MI) is then taken as the similarity criterion to find the correspondences. Experimental results demonstrate our algorithm efficiently yields satisfying registration result for DSA images.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130119164","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635133
Pornchai Chanyagorn, M. Cader, H. Szu
This paper introduces the data-driven signal decomposition method based on the empirical mode decomposition (EMD) technique. The decomposition process uses the data themselves to derive the base function in order to decompose the one-dimensional signal into a finite set of intrinsic mode signals. The novelty of EMD is that the decomposition does not use any artificial data windowing which implies fewer artifacts in the decomposed signals. The results show that the method can be effectively used in analyzing non-stationary signals. Furthermore, we applied this method to analyze closing equity prices of a financial stock. The result demonstrates the usefulness of the method in analyzing financial time series data, and some practical considerations in envelope estimation.
{"title":"Data-driven signal decomposition method","authors":"Pornchai Chanyagorn, M. Cader, H. Szu","doi":"10.1109/ICIA.2005.1635133","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635133","url":null,"abstract":"This paper introduces the data-driven signal decomposition method based on the empirical mode decomposition (EMD) technique. The decomposition process uses the data themselves to derive the base function in order to decompose the one-dimensional signal into a finite set of intrinsic mode signals. The novelty of EMD is that the decomposition does not use any artificial data windowing which implies fewer artifacts in the decomposed signals. The results show that the method can be effectively used in analyzing non-stationary signals. Furthermore, we applied this method to analyze closing equity prices of a financial stock. The result demonstrates the usefulness of the method in analyzing financial time series data, and some practical considerations in envelope estimation.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"64 6 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130147934","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635088
Deyong Chen, D. Cui, S. Xia, Zheng Cui
A novel method of temperature compensation for thermally excited silicon nitride beam resonant pressure sensors is described and some numerical modeling results for this scheme are presented. The proposed approach is based on measurement of resonant frequencies for two resonant beams inducing different axial stress under an applied pressure. The applied pressure is then measured by working out the difference of the two resonant frequencies. The frequency drift induced on both beams due to ambient temperature influence will be the same, guaranteeing a temperature independent pressure sensing. The device is fabricated in one piece from single crystal silicon by MEMS technology and silicon-rich SiN beams are released by using porous silicon sacrificial layer technology.
{"title":"Design and modeling of a silicon nitride beam resonant pressure sensor for temperature compensation","authors":"Deyong Chen, D. Cui, S. Xia, Zheng Cui","doi":"10.1109/ICIA.2005.1635088","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635088","url":null,"abstract":"A novel method of temperature compensation for thermally excited silicon nitride beam resonant pressure sensors is described and some numerical modeling results for this scheme are presented. The proposed approach is based on measurement of resonant frequencies for two resonant beams inducing different axial stress under an applied pressure. The applied pressure is then measured by working out the difference of the two resonant frequencies. The frequency drift induced on both beams due to ambient temperature influence will be the same, guaranteeing a temperature independent pressure sensing. The device is fabricated in one piece from single crystal silicon by MEMS technology and silicon-rich SiN beams are released by using porous silicon sacrificial layer technology.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114372922","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635102
Yufeng Zhang, Huahong Ma, Jianhua Chen, Xinling Shi
The diagnosis of arterial occlusive disease often depends on the Doppler spectrum analysis. We can normally use the short-time Fourier transform (STFT) to compute the time-frequency representation (TFR) of the Doppler blood flow signal. This method uses a fixed time-frequency window, making it inaccurate to analyze signals with relatively wide bandwidths that change rapidly with time. In order to estimate the Doppler frequency shift more accurately, even when the temporal flow velocity is rapid (high non-stationarity), we propose to use a modified version matching pursuit (MP) with stochastic dictionaries to estimate the time frequency representation of Doppler blood flow signals for extracting the mean frequency shift. Results show that the modified MP method can provide more accurate mean frequency waveforms than the STFT does.
{"title":"Estimation of the blood Doppler frequency shift by a matching pursuit algorithm","authors":"Yufeng Zhang, Huahong Ma, Jianhua Chen, Xinling Shi","doi":"10.1109/ICIA.2005.1635102","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635102","url":null,"abstract":"The diagnosis of arterial occlusive disease often depends on the Doppler spectrum analysis. We can normally use the short-time Fourier transform (STFT) to compute the time-frequency representation (TFR) of the Doppler blood flow signal. This method uses a fixed time-frequency window, making it inaccurate to analyze signals with relatively wide bandwidths that change rapidly with time. In order to estimate the Doppler frequency shift more accurately, even when the temporal flow velocity is rapid (high non-stationarity), we propose to use a modified version matching pursuit (MP) with stochastic dictionaries to estimate the time frequency representation of Doppler blood flow signals for extracting the mean frequency shift. Results show that the modified MP method can provide more accurate mean frequency waveforms than the STFT does.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128728066","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635116
Y. Ou, Xinyu Wu, Huihuan Qian, Yangsheng Xu
This paper presents the progress toward a face detection and race classification system that is robust and works in real-time. We address the race classification problem as classifying a frontal face into Asian or non-Asian. Firstly, we propose principal component analysis (PCA) for feature generation and independent component analysis (ICA) for feature extraction. Then, we use SVM for training process and combine different SVM classifiers to some new classifiers, which improve the classification rate to a new level. Experiments show that our system achieves a classification rate of 82.5 % based on a database containing 750 face images from FERET.
{"title":"A real time race classification system","authors":"Y. Ou, Xinyu Wu, Huihuan Qian, Yangsheng Xu","doi":"10.1109/ICIA.2005.1635116","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635116","url":null,"abstract":"This paper presents the progress toward a face detection and race classification system that is robust and works in real-time. We address the race classification problem as classifying a frontal face into Asian or non-Asian. Firstly, we propose principal component analysis (PCA) for feature generation and independent component analysis (ICA) for feature extraction. Then, we use SVM for training process and combine different SVM classifiers to some new classifiers, which improve the classification rate to a new level. Experiments show that our system achieves a classification rate of 82.5 % based on a database containing 750 face images from FERET.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134186187","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635056
Peter Ott, Jun Gao, J. Eckstein, Xiaojia Wang
For a growing range of optical measurement task, like gap measurement in automotive industry, traditional triangulation sensors have several disadvantages due to the fact that the measurement result is dependent on the orientation of the sensor because of the non rotational symmetry of the optics. Consequently a design method was proposed in (P. Ott, 2003) for a new class of rotationally symmetric triangulation sensors. Such designs can be realized with aspheric reflection optics and area detectors, such as CCD or CMOS. The optics of the sensor can be extended by an imaging optics which allows at the same time image capturing and distance measurement. In this paper we show measurement results of the first mock-up. This system is based on an optical system of one part manufactured by commercially available diamond turning. The layout of the optical system for distance measurement consists of two reflecting aspheric surfaces. We also present approaches and first results on the algorithm for highly accurate evaluation of the captured data.
对于越来越多的光学测量任务，如汽车工业中的间隙测量，传统的三角测量传感器由于光学器件的非旋转对称性，测量结果依赖于传感器的方向，因此存在一些缺点。因此，在(P. Ott, 2003)中提出了一种新型旋转对称三角测量传感器的设计方法。这种设计可以通过非球面反射光学和区域探测器，如CCD或CMOS来实现。传感器的光学可以通过成像光学扩展，同时允许图像捕获和距离测量。在本文中，我们展示了第一个模型的测量结果。这个系统是基于一个光学系统的一个部分，由商业上可用的金刚石车削制造。距离测量光学系统的布局由两个反射非球面组成。我们还提出了对捕获数据进行高度准确评估的算法的方法和第一个结果。
{"title":"A rotationally symmetric triangulation sensor with low cost reflective optic","authors":"Peter Ott, Jun Gao, J. Eckstein, Xiaojia Wang","doi":"10.1109/ICIA.2005.1635056","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635056","url":null,"abstract":"For a growing range of optical measurement task, like gap measurement in automotive industry, traditional triangulation sensors have several disadvantages due to the fact that the measurement result is dependent on the orientation of the sensor because of the non rotational symmetry of the optics. Consequently a design method was proposed in (P. Ott, 2003) for a new class of rotationally symmetric triangulation sensors. Such designs can be realized with aspheric reflection optics and area detectors, such as CCD or CMOS. The optics of the sensor can be extended by an imaging optics which allows at the same time image capturing and distance measurement. In this paper we show measurement results of the first mock-up. This system is based on an optical system of one part manufactured by commercially available diamond turning. The layout of the optical system for distance measurement consists of two reflecting aspheric surfaces. We also present approaches and first results on the algorithm for highly accurate evaluation of the captured data.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133172545","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635048
Dezhang Xu, Y. Ge, Shen Fei, W. Z. Cheng, Gao Li Fu, Nie Yuman
During grasping the underwater object, friction condition of fingers and object is variable, and forces imposed on the object are very complex too. It's difficult for autonomous operation to grasp the underwater object, and the operation requires a full tactile sensing. Therefore the methods are presented to extract the feature of touch and slide sensing from the output data of four component finger force sensors, aiming at the experimental research for underwater operation. According to contact model of fingers, we choose four component finger force sensors based on strain gauges. Employing fusing output data of finger force sensors installed on claw, it is very convenient for obtaining reliably touching, sliding and grasping forces.
{"title":"Tactile sensing for underwater operation system based on multi finger sensors information fusion","authors":"Dezhang Xu, Y. Ge, Shen Fei, W. Z. Cheng, Gao Li Fu, Nie Yuman","doi":"10.1109/ICIA.2005.1635048","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635048","url":null,"abstract":"During grasping the underwater object, friction condition of fingers and object is variable, and forces imposed on the object are very complex too. It's difficult for autonomous operation to grasp the underwater object, and the operation requires a full tactile sensing. Therefore the methods are presented to extract the feature of touch and slide sensing from the output data of four component finger force sensors, aiming at the experimental research for underwater operation. According to contact model of fingers, we choose four component finger force sensors based on strain gauges. Employing fusing output data of finger force sensors installed on claw, it is very convenient for obtaining reliably touching, sliding and grasping forces.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128911027","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635125
K. Matsumoto, J. Minato, F. Ren, S. Kuroiwa
Recently, with progress in information processing technology, computerization in various business fields has progressed, providing us with more and more chances to interact with computers. Car navigation systems and nursing systems are examples of newly created interactions between computers and humans. However, we still feel much unease while communicating with computers. One reason may be the lack of a computer's ability to deal with affective information such as "language", "voice", "facial expression" and "gesture". Because affective information often includes human emotions, skillfully dealing with emotions is important in realizing more natural communication between computers and humans. Providing a machine with human "sensibility" might make it possible to create an attentive service robot or a friendly nursing robot. Our research group proposes a method to recognize and create human emotions which can be applied to a robot used for welfare services. We also aim to develop an affective computer with enough ability to communicate that people don't sense a disconnect. This paper proposes an "emotion estimation module" based on words for recognizing human emotions. This module extracts "emotion occurrence condition" based on emotions contained in words and sentence meanings, and estimates the emotion of a speaker or writer. The materials used for the module are collected from written quotations from conversations and internet blogs. We constructed a prototype system based on our method and conducted an experiment on sentences taken from internet blogs in order to verify the effectiveness of the method.
{"title":"Estimating human emotions using wording and sentence patterns","authors":"K. Matsumoto, J. Minato, F. Ren, S. Kuroiwa","doi":"10.1109/ICIA.2005.1635125","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635125","url":null,"abstract":"Recently, with progress in information processing technology, computerization in various business fields has progressed, providing us with more and more chances to interact with computers. Car navigation systems and nursing systems are examples of newly created interactions between computers and humans. However, we still feel much unease while communicating with computers. One reason may be the lack of a computer's ability to deal with affective information such as \"language\", \"voice\", \"facial expression\" and \"gesture\". Because affective information often includes human emotions, skillfully dealing with emotions is important in realizing more natural communication between computers and humans. Providing a machine with human \"sensibility\" might make it possible to create an attentive service robot or a friendly nursing robot. Our research group proposes a method to recognize and create human emotions which can be applied to a robot used for welfare services. We also aim to develop an affective computer with enough ability to communicate that people don't sense a disconnect. This paper proposes an \"emotion estimation module\" based on words for recognizing human emotions. This module extracts \"emotion occurrence condition\" based on emotions contained in words and sentence meanings, and estimates the emotion of a speaker or writer. The materials used for the module are collected from written quotations from conversations and internet blogs. We constructed a prototype system based on our method and conducted an experiment on sentences taken from internet blogs in order to verify the effectiveness of the method.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564081","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 : 1900-01-01DOI: 10.1109/ICIA.2005.1635130
Zhuofu Liu, E. Sang, Zhenpeng Liao
In order to solve the problem of deformation and blurred edge in sonar image segmentation, a snake model based on the cellular neural network (CNN) architecture is presented. The approach is generated in snake models which evolve pixel by pixel from their initial shapes and locations until delimiting the objects of interest. The model deformation is guided by external information from the image under consideration which attracts them towards the target characteristics and by internal forces which try to maintain the smoothness of the contour curve. As the amount of deformation within a class can be controlled, the CNN-based snake model can be applied to a wide range of applications. We have used the proposed snake model to segment sonar images. The results show that this algorithm is efficient, precise and very immune to image deformation and noise when compared to results obtained from several other snake model-based methods.
{"title":"Sonar image segmentation using snake models based on cellular neural network","authors":"Zhuofu Liu, E. Sang, Zhenpeng Liao","doi":"10.1109/ICIA.2005.1635130","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635130","url":null,"abstract":"In order to solve the problem of deformation and blurred edge in sonar image segmentation, a snake model based on the cellular neural network (CNN) architecture is presented. The approach is generated in snake models which evolve pixel by pixel from their initial shapes and locations until delimiting the objects of interest. The model deformation is guided by external information from the image under consideration which attracts them towards the target characteristics and by internal forces which try to maintain the smoothness of the contour curve. As the amount of deformation within a class can be controlled, the CNN-based snake model can be applied to a wide range of applications. We have used the proposed snake model to segment sonar images. The results show that this algorithm is efficient, precise and very immune to image deformation and noise when compared to results obtained from several other snake model-based methods.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666000","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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