• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Information Fusion >Measures of effectiveness for high-level fusion
【24h】

Measures of effectiveness for high-level fusion

机译：高级别融合的有效措施

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Current advances in technology, sensor collection, data storage, and data distribution have afforded more complex, distributed, and operational information fusion systems (IFSs). IFSs notionally consist of low-level (data collection, registration, and association in time and space) and high-level fusion (user coordination, situational awareness, and mission control). Low-level IFSs typically rely on standard metrics for evaluation such as timeliness, accuracy, and confidence. Given the broader use of IFSs, it is also important to look at high-level fusion processes and determine a set of metrics to test IFSs, such as workload, throughput, and cost. Three types of measures (measures of performance MOP, measures of effectiveness MOE, and measures of merit MOM) are summarized. In this paper, we seek to describe MOEs for High-Level Fusion (HLF) based on developments in Quality of Service (QOS) and Quality of Information (QOI) that support the user and the machine, respectively. We define a HLF MOE based on (1) information quality, (2) robustness, and (3) information gain. We demonstrate the HLF MOE based for a maritime domain situation awareness example.
机译：技术，传感器集合，数据存储和数据分布的当前进步提供了更复杂，分布式和操作信息融合系统（IFSS）。 ifss概念由低级（数据收集，注册和空间相关联）和高级融合（用户协调，态势意识和任务控制）组成。低级IFSS通常依赖于标准度量进行评估，例如及时性，准确性和信心。鉴于IFSS的更广泛使用，看看高级融合进程也很重要，并确定一组测试IFSS的指标，例如工作负载，吞吐量和成本。综述了三种措施（绩效拖把的衡量标准，有效性衡量标准和绩效妈妈的措施）。在本文中，我们将根据服务质量（QoS）和支持用户和机器的信息质量（Qoi）的发展，来寻求描述高级融合（HLF）的MOES。我们定义基于（1）的信息的质量，（2）的鲁棒性，以及（3）信息增益的HLF MOE。我们展示了基于海上域局情况的HLF MOE。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号