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The paper addresses the problem of target-tracking in tactical military surveillance operations. More specifically, a closed-loop approach to adapt the sensing and tracking operations is proposed and compared to the conventional open-loop and static approach. The objective is to control and maintain, over a certain volume of interest and by way of clustering and scheduling strategies, the level of...
The overall goal of the research presented in this paper is to design an intelligent system to aid geologists in processing complex rock characteristics for interpreting eruption patterns, and thereby to aid eruption forecasting for volcanic chains and fields. The objective of this paper is to describe application of data fusion techniques to designing an intelligent system. The processing of geological...
By observing various battlefield situations as they unfold and by interacting with peers and with battlefield artifacts, such as sensors and information processing systems, intelligence analysts form internal, mental models of things that they are observing and with which they are interacting. These models provide predictive and explanatory power for understanding a specific situation at hand, for...
Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention. Anomaly detection is concerned with finding deviations...
In this paper, a sequential track association algorithm for multiple electronic support measures (ESM) sensors is proposed based on the application of clustering techniques. Association metrics are developed based on the use of the information theoretic criteria, in particular, the Akaike Information Criterion (AIC). The proposed association algorithm is able to handle track components of differing...
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