Pub Date : 2007-07-09DOI: 10.1109/ICIF.2007.4408086
M. Gagnon
Many applications, e.g., data/information fusion, data mining, and decision aids, need to access multiple heterogeneous data sources. These data sources may come from internal and external databases. They have to evolve due to requirement changes. Any change in an application domain induces semantics change in the data sources. The integration of these data sources raises several semantic heterogeneity problems. This has traditionally been the subject of data/schema integration and mapping. However, many heterogeneity conflicts remain in information integration due to lack of semantics. Therefore, richer semantics of data are needed to resolve the heterogeneity problems. Ontological approaches now offer new solution avenues to this interoperability limitation. In this perspective, we propose an ontology- based information integration with a local to global ontology mapping as an approach to the integration of heterogeneous data sources.
{"title":"Ontology-based integration of data sources","authors":"M. Gagnon","doi":"10.1109/ICIF.2007.4408086","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408086","url":null,"abstract":"Many applications, e.g., data/information fusion, data mining, and decision aids, need to access multiple heterogeneous data sources. These data sources may come from internal and external databases. They have to evolve due to requirement changes. Any change in an application domain induces semantics change in the data sources. The integration of these data sources raises several semantic heterogeneity problems. This has traditionally been the subject of data/schema integration and mapping. However, many heterogeneity conflicts remain in information integration due to lack of semantics. Therefore, richer semantics of data are needed to resolve the heterogeneity problems. Ontological approaches now offer new solution avenues to this interoperability limitation. In this perspective, we propose an ontology- based information integration with a local to global ontology mapping as an approach to the integration of heterogeneous data sources.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132813261","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4407985
K. Brown, S. Drake, K. Mason, Andrew Piotrowski, L. Swierkowski
DSTO Australia concluded a two year research program in March 2006 that demonstrated distributed, autonomous, self-organising stand-in sensor and effector systems. This paper describes research activities from this program including the development of miniaturised sensor and effector payloads, the development of novel algorithms for the fusion of data from distributed sensor payloads and the development of novel aircraft control algorithms to enable near optimal geo-location of pop-up emitters. The paper also describes field trials in which information products from these systems were injected into command support systems for integration and visualisation with other data to support situational awareness. A follow-on program has been approved and is also overviewed in this paper.
{"title":"A distributed stand-in EW hunter-killer system","authors":"K. Brown, S. Drake, K. Mason, Andrew Piotrowski, L. Swierkowski","doi":"10.1109/ICIF.2007.4407985","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4407985","url":null,"abstract":"DSTO Australia concluded a two year research program in March 2006 that demonstrated distributed, autonomous, self-organising stand-in sensor and effector systems. This paper describes research activities from this program including the development of miniaturised sensor and effector payloads, the development of novel algorithms for the fusion of data from distributed sensor payloads and the development of novel aircraft control algorithms to enable near optimal geo-location of pop-up emitters. The paper also describes field trials in which information products from these systems were injected into command support systems for integration and visualisation with other data to support situational awareness. A follow-on program has been approved and is also overviewed in this paper.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"18 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094400","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408141
Vladimir Vila
High tempo battlefield requirements, rapidly evolving communications/information technologies and the need to include legacy components, call for a system-of- systems engineering approach in the development of data fusion enabled networks (DFEN). System-of- systems engineers are concerned with large scale interdisciplinary issues combining multiple, heterogeneous, distributed systems that are embedded in networks at multiple levels and multiple domains. These issues are also of concern to data fusion engineers because the networks being engineered to resolve the issues are the environment in which future data fusion systems must perform successfully. This paper is a description of a system-of-systems approach to the development of DFEN's. Applying system-of-systems techniques, a DFEN software and hardware infrastructure is being developed The infrastructure is being developed as a capability within a network enabled C4ISR infrastructure, using a service oriented architecture (SOA) and a DFEN specific ontology. Within this framework, important aspects of data fusion system development can be addressed in a process-driven, scalable and evolvable manner.
{"title":"Data fusion enabled networks","authors":"Vladimir Vila","doi":"10.1109/ICIF.2007.4408141","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408141","url":null,"abstract":"High tempo battlefield requirements, rapidly evolving communications/information technologies and the need to include legacy components, call for a system-of- systems engineering approach in the development of data fusion enabled networks (DFEN). System-of- systems engineers are concerned with large scale interdisciplinary issues combining multiple, heterogeneous, distributed systems that are embedded in networks at multiple levels and multiple domains. These issues are also of concern to data fusion engineers because the networks being engineered to resolve the issues are the environment in which future data fusion systems must perform successfully. This paper is a description of a system-of-systems approach to the development of DFEN's. Applying system-of-systems techniques, a DFEN software and hardware infrastructure is being developed The infrastructure is being developed as a capability within a network enabled C4ISR infrastructure, using a service oriented architecture (SOA) and a DFEN specific ontology. Within this framework, important aspects of data fusion system development can be addressed in a process-driven, scalable and evolvable manner.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130924786","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4407973
Zengguo Sun, Chongzhao Han
Multiplicative noise makes the interpretation of image extremely difficult, and the fixed-size window filters cannot achieve good trade-off between noise suppression and edge keeping. Based on adaptive windowing and local structure detection, a new filtering algorithm of multiplicative noise is developed in this paper. The sliding window size is automatically adjusted by adaptive windowing, and the local structure detection is required for each window determined because appearance of point target and edge feature cannot satisfy the basic premise of stationary in increment for all statistical filters. Point target is preserved to keep edges and fine details, and the most homogeneous semi- window on which the central pixel lies is chosen by gradient masks to enhance noise reduction in edge areas. The denoising experiments demonstrate that the proposed filter is superior both in noise suppression and in fine detail preserving.
{"title":"Suppression of multiplicative noise based on adaptive windowing and local structure detection","authors":"Zengguo Sun, Chongzhao Han","doi":"10.1109/ICIF.2007.4407973","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4407973","url":null,"abstract":"Multiplicative noise makes the interpretation of image extremely difficult, and the fixed-size window filters cannot achieve good trade-off between noise suppression and edge keeping. Based on adaptive windowing and local structure detection, a new filtering algorithm of multiplicative noise is developed in this paper. The sliding window size is automatically adjusted by adaptive windowing, and the local structure detection is required for each window determined because appearance of point target and edge feature cannot satisfy the basic premise of stationary in increment for all statistical filters. Point target is preserved to keep edges and fine details, and the most homogeneous semi- window on which the central pixel lies is chosen by gradient masks to enhance noise reduction in edge areas. The denoising experiments demonstrate that the proposed filter is superior both in noise suppression and in fine detail preserving.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133399671","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408002
U. Ramdaras, F. Absil
In this paper a comparison is made between a sensor selection algorithm (SSA) based on the modified Riccati equation (MRE) on the one hand, and a random sensor selection (RSS) or a fixed sensor selection (FSS) scheme on the other hand. The goal is to investigate the benefits the MRE SSA yields compared to the other selection schemes. The MRE SSA is capable of handling sensors with probability of detection pd < 1 and performs sensor selection based on various expected performance criteria in a target tracking scenario. For all three selection schemes the particle filtering technique has been used for target tracking with an adaption for missed detections in the case of pd < 1. Results are compared using multiple runs with simulated data for a single, moving target and two stationary radars. One sensor yields range, Doppler and bearing information, the other range and bearing information. The analysis includes the quality of the state estimate and the sensor selection strategy.
{"title":"Sensor selection: the modified riccati equation approach compared with other selection schemes","authors":"U. Ramdaras, F. Absil","doi":"10.1109/ICIF.2007.4408002","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408002","url":null,"abstract":"In this paper a comparison is made between a sensor selection algorithm (SSA) based on the modified Riccati equation (MRE) on the one hand, and a random sensor selection (RSS) or a fixed sensor selection (FSS) scheme on the other hand. The goal is to investigate the benefits the MRE SSA yields compared to the other selection schemes. The MRE SSA is capable of handling sensors with probability of detection pd < 1 and performs sensor selection based on various expected performance criteria in a target tracking scenario. For all three selection schemes the particle filtering technique has been used for target tracking with an adaption for missed detections in the case of pd < 1. Results are compared using multiple runs with simulated data for a single, moving target and two stationary radars. One sensor yields range, Doppler and bearing information, the other range and bearing information. The analysis includes the quality of the state estimate and the sensor selection strategy.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630283","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408181
A. Hero, C. Kreucher
This paper addresses the problem of sensor management for a large network of agile sensors. Sensor management refers to the process of dynamically retasking agile sensors in response to an evolving environment. Sensors may be agile in a variety of ways, e.g., the ability to reposition, point an antenna, choose sensing mode, or waveform. The goal of sensor management in a large network is to choose actions for individual sensors dynamically so as to maximize overall network utility. Sensor management in the multiplatform setting is a challenging problem for several reasons. First, the state space required to characterize an environment is typically of very high dimension and poorly represented by a parametric form. Second, the network must simultaneously address a number of competing goals. Third, the number of potential taskings grows exponentially with the number of sensors. Finally, in low communication environments, decentralized methods are required. The approach we present addresses these challenges through a novel combination of particle filtering for nonparametric density estimation, information theory for comparing actions, and physicomimetics for computational tractability. The efficacy of the method is illustrated in a realistic surveillance application by simulation, where an unknown number of ground targets are to be detected and tracked by a network of mobile sensors.
{"title":"Network sensor management for tracking and localization","authors":"A. Hero, C. Kreucher","doi":"10.1109/ICIF.2007.4408181","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408181","url":null,"abstract":"This paper addresses the problem of sensor management for a large network of agile sensors. Sensor management refers to the process of dynamically retasking agile sensors in response to an evolving environment. Sensors may be agile in a variety of ways, e.g., the ability to reposition, point an antenna, choose sensing mode, or waveform. The goal of sensor management in a large network is to choose actions for individual sensors dynamically so as to maximize overall network utility. Sensor management in the multiplatform setting is a challenging problem for several reasons. First, the state space required to characterize an environment is typically of very high dimension and poorly represented by a parametric form. Second, the network must simultaneously address a number of competing goals. Third, the number of potential taskings grows exponentially with the number of sensors. Finally, in low communication environments, decentralized methods are required. The approach we present addresses these challenges through a novel combination of particle filtering for nonparametric density estimation, information theory for comparing actions, and physicomimetics for computational tractability. The efficacy of the method is illustrated in a realistic surveillance application by simulation, where an unknown number of ground targets are to be detected and tracked by a network of mobile sensors.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124574071","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408133
C. Helleur, Michael Mathews, Nathan Kashyap, John Rafuse
This work presents the results of a research activity to establish a framework in which a human operator can perform track-to-track fusion to produce a recognized maritime picture in support of maritime domain awareness. The work consists of three elements: 1) establishing the environment in which the operator will conduct the track-to-track fusion, 2) establish metrics that can be used to evaluate the effectiveness of the process used by the operator, and 3) conduct a trial to determine how the operator conducts fusion. The paper provided an overview of the context in which operators conduct track-to-track fusion. A survey of potential metrics was conducted and the ones that could be supported by the data captured during the trial were selected. The main findings of the trial are presented along with recommendation for future trials.
{"title":"Track-to-track fusion by a human operator for maritime domain awareness","authors":"C. Helleur, Michael Mathews, Nathan Kashyap, John Rafuse","doi":"10.1109/ICIF.2007.4408133","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408133","url":null,"abstract":"This work presents the results of a research activity to establish a framework in which a human operator can perform track-to-track fusion to produce a recognized maritime picture in support of maritime domain awareness. The work consists of three elements: 1) establishing the environment in which the operator will conduct the track-to-track fusion, 2) establish metrics that can be used to evaluate the effectiveness of the process used by the operator, and 3) conduct a trial to determine how the operator conducts fusion. The paper provided an overview of the context in which operators conduct track-to-track fusion. A survey of potential metrics was conducted and the ones that could be supported by the data captured during the trial were selected. The main findings of the trial are presented along with recommendation for future trials.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114344137","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408035
Huimin Chen, X. Li
Distributed Kalman filters are often used in multisensor target tracking where the fusion center receives local estimates and fuses them to obtain the global target state estimate. With such a fusion architecture, each local tracker can communicate less frequently with the fusion center than the local filter update rate. The global target state estimate via track fusion is usually less accurate than that of the centralized estimator when local estimation errors are correlated and local trackers communicate to the fusion center with bandwidth constraints lower than the measurement rate. This paper focuses on the tradeoff between bandwidth and tracking accuracy for track fusion with communication constraints. We show that the performance degradation increases for track fusion on demand compared with the centralized estimator as the number of local trackers increases. We relate the steady state analysis of track fusion under bandwidth constraints to noisy Wyner-Ziv source coding problem and compare our results with the theoretical rate distortion curve of the quadratic Gaussian CEO problem. We conclude that track fusion on demand is a side-information unaware strategy while the awareness of the correlated estimation errors at each local tracker can improve the track fusion accuracy significantly.
{"title":"On track fusion with communication constraints","authors":"Huimin Chen, X. Li","doi":"10.1109/ICIF.2007.4408035","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408035","url":null,"abstract":"Distributed Kalman filters are often used in multisensor target tracking where the fusion center receives local estimates and fuses them to obtain the global target state estimate. With such a fusion architecture, each local tracker can communicate less frequently with the fusion center than the local filter update rate. The global target state estimate via track fusion is usually less accurate than that of the centralized estimator when local estimation errors are correlated and local trackers communicate to the fusion center with bandwidth constraints lower than the measurement rate. This paper focuses on the tradeoff between bandwidth and tracking accuracy for track fusion with communication constraints. We show that the performance degradation increases for track fusion on demand compared with the centralized estimator as the number of local trackers increases. We relate the steady state analysis of track fusion under bandwidth constraints to noisy Wyner-Ziv source coding problem and compare our results with the theoretical rate distortion curve of the quadratic Gaussian CEO problem. We conclude that track fusion on demand is a side-information unaware strategy while the awareness of the correlated estimation errors at each local tracker can improve the track fusion accuracy significantly.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114702387","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408061
Maria Nilsson, T. Ziemke
The focus of most information fusion research, so far, has been on the technology, i.e. information processing techniques and algorithms. Consequently, there is a lack of research concerning the actual usage of information fusion systems in terms of cognitive and organisational issues such as supporting both individual and group decision making. This paper provides a retrospective of information fusion research so far and a future vision of information fusion systems as actual decision support systems. A methodology for developing decision support systems is suggested which could not only ensure the effectiveness of information fusion systems as decision support systems but also provide a natural user perspective and top-down approach to information fusion in general.
{"title":"Information fusion: a decision support perspective","authors":"Maria Nilsson, T. Ziemke","doi":"10.1109/ICIF.2007.4408061","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408061","url":null,"abstract":"The focus of most information fusion research, so far, has been on the technology, i.e. information processing techniques and algorithms. Consequently, there is a lack of research concerning the actual usage of information fusion systems in terms of cognitive and organisational issues such as supporting both individual and group decision making. This paper provides a retrospective of information fusion research so far and a future vision of information fusion systems as actual decision support systems. A methodology for developing decision support systems is suggested which could not only ensure the effectiveness of information fusion systems as decision support systems but also provide a natural user perspective and top-down approach to information fusion in general.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116895772","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408184
J. Ardouin, J. Lévesque, T. Rea
Defence R&D Canada has been studying the military applications of hyperspectral imagery for a number of years. In other unrelated efforts, the Canadian remote sensing community has also been active in developing hyperspectral algorithms for civilian use. This civilian technology has many potential military applications. In an effort to demonstrate the potential of these defence and civilian technologies to the Canadian Forces, Defence R&D Canada has initiated the Hyperspectral Image Exploitation (HYMEX) Technology Demonstration Project with the collaboration of Canadian industries, academic organizations and other government departments, the project is evaluating and integrating exploitation algorithms into a suite of tools oriented towards the needs of the Canadian Forces. This paper describes the project activities to date and presents some preliminary results.
{"title":"A demonstration of hyperspectral image exploitation for military applications","authors":"J. Ardouin, J. Lévesque, T. Rea","doi":"10.1109/ICIF.2007.4408184","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408184","url":null,"abstract":"Defence R&D Canada has been studying the military applications of hyperspectral imagery for a number of years. In other unrelated efforts, the Canadian remote sensing community has also been active in developing hyperspectral algorithms for civilian use. This civilian technology has many potential military applications. In an effort to demonstrate the potential of these defence and civilian technologies to the Canadian Forces, Defence R&D Canada has initiated the Hyperspectral Image Exploitation (HYMEX) Technology Demonstration Project with the collaboration of Canadian industries, academic organizations and other government departments, the project is evaluating and integrating exploitation algorithms into a suite of tools oriented towards the needs of the Canadian Forces. This paper describes the project activities to date and presents some preliminary results.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116937252","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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