• The distributed data fusion can rise the system's reliability and survivability effectively.

    分布式多传感器信息融合能够提高系统的可靠性和可信度。

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  • The distributed data fusion technology was adopted for information layer to deal with the target information gained by each unit node in network.

    信息层采用分布式数据融合技术,融合处理网络中各单元节点获得的目标信息。

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  • The method of state estimation is discussed, when radars have different observation dimension in one distributed data fusion system with feedback.

    论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。

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  • Technologies that will enable these architectures include sensor data fusion, enterprise sensor calibration, and distributed sensor resource management.

    ESP -SSA架构的相关技术包括传感器数据融合、企业传感器校准和分布式传感器资源管理。

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  • Based on D-S evidence theory in data fusion technology, this paper applies it to distributed intrusion detection systems and gives a network intrusion early warning model.

    本文以数据融合技术中的D -S证据理论为基础,将其运用于分布式入侵检测系统中,提出了基于D - S证据理论的网络入侵预警模型。

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  • Based on the technology of data fusion, a method is presented to process distributed detection parameters. This method can efficiently improve the precision of measuring result.

    介绍一种采用数据融合技术对分布式检测参数进行数据处理的方法,可以有效地提高测量结果的精度。

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  • Data fusion models include fusion method and architecture. The centralized distributed hybrid and hierarchical fusion architectures are described, and some comparison are made between them.

    数据融合模型包括融合的方法和结构,文章介绍了集成式、分布式和混合式融合结构,并对它们进行了比较。

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  • Centralized optimal weight fusion algorithm is raised to improve the distributed inspection data characteristic in this article, algorithm model and deduction of formula are available.

    提出了一种改善分布式检测数据性能的集中式最优加权融合算法,建立了该算法的数学模型,进行了严格的算法推导与实例论证。

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  • To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).

    为有效解决分布式攻击,提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。

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  • The distributed data processing, the database, the virtual reality, the information processing and the information fusion technologies were expatiated in the key technology part.

    对其关键技术,主要研究了分布处理技术、数据库技术、虚拟现实技术、信息处理技术和信息融合技术。

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  • For distributed multisensor data fusion system, a multisensor asynchronous track fusion algorithm is proposed.

    针对分布式多传感器数据融合系统,提出了一种多传感器异步航迹融合算法。

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  • Time synchronization is crucial to the coherent explanation of the meaning of the data in distributed information fusion nodes.

    时钟同步问题关系到各融合节点上信息的一致性,是构建分布式信息融合系统要解决的重要问题。

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  • The analysis consists of the sensor data′s collection, the conversions of target-indication, the fusion pretreatment and the distributed fusion.

    分析包括舰艇平台信息的收集、目标指示信息的转换、融合的预处理及分布式融合处理等过程。

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  • Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.

    针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点,引入了数据融合方法,提出了一个分布式入侵检测中的数据融合模型。

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  • Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.

    针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点,引入了数据融合方法,提出了一个分布式入侵检测中的数据融合模型。

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