从集成角度出发，探讨了CIMS信息分类编码的范围、信息标识码和类别码的合一、信息特征的详细描述及分类编码系统结构等问题。
On the point of integration it explores the scope of CIMS information classification and coding, the unity of identification number and cat-gory number, detailed description and coding system.
为了提高服务发现的效率，UDDI 2.0中增加了标识系统和第三方分类系统。
To improve the efficiency of service discovery, identification and third party classification system was introduced into UDDI 2.0.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
其次进行了基于模糊综合评价方法的分布式多雷达系统目标识别的应用研究和模式分类实验。
The fuzzy synthetical evaluation method is put forward, and the target identification for distributed radar systems by applying fuzzy synthetical evaluation method is studied.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
结果表明，多特征信息融合的目标识别方法具有良好的稳定性，准确性和可靠性，能够有效地提高图象分类识别系统的精确度与容错性。
The final results indicate that the Multi-feature fusion method is stable, reliable, and can efficiently improve the accuracy and the ability of fault tolerance.
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