摘要
1 引言以通讯、传感器、计算机和网络为基础的数据融合(DataFusion)技术正在愈来愈深刻地改变着现代战争的形式.1998年Buede和Waltz[1]给数据融合下了一个具有广泛意义的定义:一个自适应的知识创建过程,通过对来自各种信息源的一致或不一致观测数据的校正、相关和合并处理,建立起有组织信息索引集,并由此对某个特定的观测区域的结构、行为进行建模、理解和解释.
With the development of the broadband network technology, there is a need for information fusion anyone, any time and anywhere. The data fusion systems (DFS) based on client/server model have an ability to process real time data better with high security, but they are usually lack of usability and scalability. However, the browser/server model based Internet has a good expandability , and browser is much convenient in use. In this paper, by absorbing the merits of above two architectures, we propose a Web-based multi-sensor DFS model, which can not only process real time data, but also ensure the system's usability and scalability. Secondly, the separative mechanism of data server and Web server, which makes the fusion focus on its different resources, can guarantee the robustness of the system. Thirdly, the security troubles related to Internet are resolved via using the two-fold protections of identity authentification and information encryption. In the end, a dual-blackboard implementation scheme is given.
出处
《计算机科学》
CSCD
北大核心
2002年第1期126-128,共3页
Computer Science
