Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447555
A. Otero, P. Félix, F. Palacios, C. Pérez-Gandía, C. Sorzano
This work presents a proposal for creating intelligent alarms that offer more efficient support to medical staff than the threshold alarms currently available in commercial monitors. Our alarms make it possible to handle the uncertainty and imprecision that are characteristic of the medical domain, reason over the temporal evolution of physiological variables, and incorporate information from a number of variables into one single alarm. The proposal is based on a structural pattern recognition model (the MFTP model) which allows certain monitoring criteria in a computational representation to be captured and identified over the evolution of patients' physiological variables. The description of the criteria is carried out using a graphical tool (TRACE), which is sufficiently intuitive to be used by physicians without the need for assistance.
{"title":"Intelligent alarms for patient supervision","authors":"A. Otero, P. Félix, F. Palacios, C. Pérez-Gandía, C. Sorzano","doi":"10.1109/WISP.2007.4447555","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447555","url":null,"abstract":"This work presents a proposal for creating intelligent alarms that offer more efficient support to medical staff than the threshold alarms currently available in commercial monitors. Our alarms make it possible to handle the uncertainty and imprecision that are characteristic of the medical domain, reason over the temporal evolution of physiological variables, and incorporate information from a number of variables into one single alarm. The proposal is based on a structural pattern recognition model (the MFTP model) which allows certain monitoring criteria in a computational representation to be captured and identified over the evolution of patients' physiological variables. The description of the criteria is carried out using a graphical tool (TRACE), which is sufficiently intuitive to be used by physicians without the need for assistance.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123936509","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447575
Zheng Chen, S. Lu
In this paper, we propose a method for classifying textures using Genetic Programming (GP). Texture features are extracted from the energy of subimages of the wavelet decomposition. The GP is then used to evolve rules, which are arithmetic combinations of energy features, to identify whether a texture image belongs to certain class. Instead of using only one rule to discriminate the samples, a set of rules are used to perform the prediction by applying the majority voting technique. In our experiment results based on Brodatz dataset, the proposed method has achieved 99.6% test accuracy on an average. In addition, the experiment results also show that classification rules generated by this approach are robust to some noises on textures.
{"title":"A Genetic Programming Approach for Classification of Textures Based on Wavelet Analysis","authors":"Zheng Chen, S. Lu","doi":"10.1109/WISP.2007.4447575","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447575","url":null,"abstract":"In this paper, we propose a method for classifying textures using Genetic Programming (GP). Texture features are extracted from the energy of subimages of the wavelet decomposition. The GP is then used to evolve rules, which are arithmetic combinations of energy features, to identify whether a texture image belongs to certain class. Instead of using only one rule to discriminate the samples, a set of rules are used to perform the prediction by applying the majority voting technique. In our experiment results based on Brodatz dataset, the proposed method has achieved 99.6% test accuracy on an average. In addition, the experiment results also show that classification rules generated by this approach are robust to some noises on textures.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124699035","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447619
A. Cano-García, J. Lázaro, P. Fernández
Radiometric calibration of a CCD camera is a first step when quantitative measurements for pixels values will be performed in order to extract scene characteristics. Usually, the radiometric behaviour of the camera can be modelled with a polynomial function obtained from a multi- image calibration method, which analyses several pictures taken with different exposition times. In this work, a simplification of a multi-images calibration method is proposed. The method is based on the comparison of grey values of two images only, showing that obtained results are comparables to the polynomic multi-image method. The proposed method was tested with the same images used for multi-image calibration method. Exposition times were estimated without an iterative scheme. Also a method and results for distance estimation, using inverse radiometric response function, are showed in this paper.
{"title":"Simplified Method for Radiometric Calibration of an Array Camera","authors":"A. Cano-García, J. Lázaro, P. Fernández","doi":"10.1109/WISP.2007.4447619","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447619","url":null,"abstract":"Radiometric calibration of a CCD camera is a first step when quantitative measurements for pixels values will be performed in order to extract scene characteristics. Usually, the radiometric behaviour of the camera can be modelled with a polynomial function obtained from a multi- image calibration method, which analyses several pictures taken with different exposition times. In this work, a simplification of a multi-images calibration method is proposed. The method is based on the comparison of grey values of two images only, showing that obtained results are comparables to the polynomic multi-image method. The proposed method was tested with the same images used for multi-image calibration method. Exposition times were estimated without an iterative scheme. Also a method and results for distance estimation, using inverse radiometric response function, are showed in this paper.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587984","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447526
T. Nasilowski, F. Berghmans, T. Geernaert, K. Chah, J. Van Erps, G. Statkiewicz, M. Szpulak, J. Olszewski, G. Golojuch, T. Martynkien, W. Urbańczyk, P. Mergo, M. Makara, J. Wojcik, C. Chojetzki, H. Thienpont
Fast, frequent, accurate and reliable measurements of physical quantities such as temperature, stress or strain are known to be of utmost importance in areas such as process industry or structural health monitoring. Photonic crystal fibres (PCF) (Bjarklev et al., 2003) constitute a class of optical fibres that has a large potential for a number of novel applications in the sensing domain. The manufacturing flexibility of PCF allows fabricating different types of specialty microstructured fibres including endlessly single mode, double clad, germanium or rare earth doped, highly birefringent, and many other fibres with particular features. In this paper we analyse several of these and describe how they can be exploited for sensing applications. We pay particular attention to temperature and hydrostatic pressure sensitivities. We also report on new microstructure geometries dedicated to sensing applications and on Bragg gratings written in highly birefringent photonic crystal fibre.
快速、频繁、准确和可靠地测量物理量，如温度、应力或应变，在过程工业或结构健康监测等领域至关重要。光子晶体光纤(PCF) (Bjarklev et al.， 2003)构成了一类光纤，在传感领域具有许多新应用的巨大潜力。PCF的制造灵活性允许制造不同类型的特殊微结构纤维，包括无限单模、双包层、锗或稀土掺杂、高双折射和许多其他具有特定特征的纤维。在本文中，我们分析了其中的几个，并描述了如何利用它们进行传感应用。我们特别注意温度和静水压力敏感性。我们还报道了用于传感应用的新型微观结构几何形状和用高双折射光子晶体光纤编写的Bragg光栅。
{"title":"Sensing with photonic crystal fibres","authors":"T. Nasilowski, F. Berghmans, T. Geernaert, K. Chah, J. Van Erps, G. Statkiewicz, M. Szpulak, J. Olszewski, G. Golojuch, T. Martynkien, W. Urbańczyk, P. Mergo, M. Makara, J. Wojcik, C. Chojetzki, H. Thienpont","doi":"10.1109/WISP.2007.4447526","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447526","url":null,"abstract":"Fast, frequent, accurate and reliable measurements of physical quantities such as temperature, stress or strain are known to be of utmost importance in areas such as process industry or structural health monitoring. Photonic crystal fibres (PCF) (Bjarklev et al., 2003) constitute a class of optical fibres that has a large potential for a number of novel applications in the sensing domain. The manufacturing flexibility of PCF allows fabricating different types of specialty microstructured fibres including endlessly single mode, double clad, germanium or rare earth doped, highly birefringent, and many other fibres with particular features. In this paper we analyse several of these and describe how they can be exploited for sensing applications. We pay particular attention to temperature and hydrostatic pressure sensitivities. We also report on new microstructure geometries dedicated to sensing applications and on Bragg gratings written in highly birefringent photonic crystal fibre.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652882","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447528
J. Blumenthal, Ralf Großmann, F. Golatowski, D. Timmermann, Friedrich-Barnewitz-Str
Localization in wireless sensor networks gets more and more important, because many applications need to locate the source of incoming measurements as precise as possible. Weighted centroid localization (WCL) provides a fast and easy algorithm to locate devices in wireless sensor networks. The algorithm is derived from a centroid determination which calculates the position of devices by averaging the coordinates of known reference points. To improve the calculated position in real implementations, WCL uses weights to attract the estimated position to close reference points provided that coarse distances are available. Due to the fact that Zigbee provides the link quality indication (LQI) as a quality indicator of a received packet, it can also be used to estimate a distance from a node to reference points.
{"title":"Weighted Centroid Localization in Zigbee-based Sensor Networks","authors":"J. Blumenthal, Ralf Großmann, F. Golatowski, D. Timmermann, Friedrich-Barnewitz-Str","doi":"10.1109/WISP.2007.4447528","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447528","url":null,"abstract":"Localization in wireless sensor networks gets more and more important, because many applications need to locate the source of incoming measurements as precise as possible. Weighted centroid localization (WCL) provides a fast and easy algorithm to locate devices in wireless sensor networks. The algorithm is derived from a centroid determination which calculates the position of devices by averaging the coordinates of known reference points. To improve the calculated position in real implementations, WCL uses weights to attract the estimated position to close reference points provided that coarse distances are available. Due to the fact that Zigbee provides the link quality indication (LQI) as a quality indicator of a received packet, it can also be used to estimate a distance from a node to reference points.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128264197","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447530
J. Zajacek, L. Grmela
The noise spectroscopy is used to determinate quality and reliability of semiconductor materials. We have used the means of time-frequency analysis for processing of long time duration stochastic signal. Tree-structured FIR filter bank implemented in a recursive way for octave dividing frequency band was designed as full parallel computational algorithm for power spectral density estimation. In the very low frequency area we will obtain high resolution and low level variance of PSD.
{"title":"The Sub-Band decomposition of Fluctuated signals for the Estimation of Power Spectra","authors":"J. Zajacek, L. Grmela","doi":"10.1109/WISP.2007.4447530","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447530","url":null,"abstract":"The noise spectroscopy is used to determinate quality and reliability of semiconductor materials. We have used the means of time-frequency analysis for processing of long time duration stochastic signal. Tree-structured FIR filter bank implemented in a recursive way for octave dividing frequency band was designed as full parallel computational algorithm for power spectral density estimation. In the very low frequency area we will obtain high resolution and low level variance of PSD.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129759404","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447565
Aikaterini D. Koutsou, Fernando Seco, Antonio R. Jiḿenez, J. Roa, J. Ealo, C. Prieto, Jorge Guevara
This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader carried by the mobile user, and a number of active RFID tags, disseminated at known positions in the displacement region, which regularly emit RF signals with an identification code. Upon reception of a signal, the range of the user to the corresponding tag is estimated indirectly from the received signal strength (RSSI), using a previously obtained statistical model. A computationally efficient Bayesian localization method (particle filter) is used to process the measurements and produce an estimation of the user's position. The RFID-LPS is tested empirically in a displacement region comprised of three adjacent rooms, with a total area of 250 m2, in which there are placed 21 tags. Our first results show a typical mean positioning error of 3.25 m, which compares favorably with other systems reported in the literature.
{"title":"Preliminary Localization Results With An RFID Based Indoor Guiding System","authors":"Aikaterini D. Koutsou, Fernando Seco, Antonio R. Jiḿenez, J. Roa, J. Ealo, C. Prieto, Jorge Guevara","doi":"10.1109/WISP.2007.4447565","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447565","url":null,"abstract":"This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader carried by the mobile user, and a number of active RFID tags, disseminated at known positions in the displacement region, which regularly emit RF signals with an identification code. Upon reception of a signal, the range of the user to the corresponding tag is estimated indirectly from the received signal strength (RSSI), using a previously obtained statistical model. A computationally efficient Bayesian localization method (particle filter) is used to process the measurements and produce an estimation of the user's position. The RFID-LPS is tested empirically in a displacement region comprised of three adjacent rooms, with a total area of 250 m2, in which there are placed 21 tags. Our first results show a typical mean positioning error of 3.25 m, which compares favorably with other systems reported in the literature.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130680835","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447523
J. Diaz, M. Abderrahim
This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.
{"title":"Modified SoftPOSIT algorithm for 3D visual tracking","authors":"J. Diaz, M. Abderrahim","doi":"10.1109/WISP.2007.4447523","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447523","url":null,"abstract":"This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"240 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133095495","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447585
B. Karimi, M. B. Menhaj, A. Afshar, I. Saboori
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study. Simulation results are very promising.
{"title":"A Decentralized Direct Adaptive Controller for a Class of Large-Scale Interconnected Nonlinear Systems","authors":"B. Karimi, M. B. Menhaj, A. Afshar, I. Saboori","doi":"10.1109/WISP.2007.4447585","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447585","url":null,"abstract":"This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study. Simulation results are very promising.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"347 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134033073","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 : 2007-10-01DOI: 10.1109/WISP.2007.4447614
J. Badri, C. Tilmant, J. Lavest, P. Sayd
Video surveillance becomes more and more extended in industry and often involves automatic calibration system to remain efficient. In this paper, a video-surveillance system that uses stationary-dynamic cameras devices is presented. The static camera is used to monitor the largest scene but with a small resolution : master-slave system. When it detects a moving object, the Pan-Tilt-Zoom (PTZ) camera is controlled to be centered on this object with a high resolution. We use a method of camera-to-camera calibration, integrating zoom calibration in order to command the angles and the zoom of the PTZ camera. This method enables to take into account the intrinsic camera parameters, the 3D scene geometry and the fact that the mechanism of inexpensive camera does not fit the classical geometrical model. Finally, the results of precision and accuracy of this algorithm are highlighted on real cases to qualify subjectively the value of theses errors for more complex surveillance applications like pattern recognition or tracking.
{"title":"Hybrid sensors calibration: Application to pattern recognition and tracking","authors":"J. Badri, C. Tilmant, J. Lavest, P. Sayd","doi":"10.1109/WISP.2007.4447614","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447614","url":null,"abstract":"Video surveillance becomes more and more extended in industry and often involves automatic calibration system to remain efficient. In this paper, a video-surveillance system that uses stationary-dynamic cameras devices is presented. The static camera is used to monitor the largest scene but with a small resolution : master-slave system. When it detects a moving object, the Pan-Tilt-Zoom (PTZ) camera is controlled to be centered on this object with a high resolution. We use a method of camera-to-camera calibration, integrating zoom calibration in order to command the angles and the zoom of the PTZ camera. This method enables to take into account the intrinsic camera parameters, the 3D scene geometry and the fact that the mechanism of inexpensive camera does not fit the classical geometrical model. Finally, the results of precision and accuracy of this algorithm are highlighted on real cases to qualify subjectively the value of theses errors for more complex surveillance applications like pattern recognition or tracking.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545380","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：