Dafni Stampouli

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Given the unbounded analysis of situations, events, users, resources, and missions; it is obvious that uncertainty is manifested by the nature of application requirements. In this panel, we seek discussions on methods and techniques to intelligently assess the problem of HLIF uncertainty analysis to alleviate high-performance statistical computational(More)
Intelligence operations are dependent on humans for data gathering and processing. Measurements made by human observation are subjective and incorporate biases. Systematic processing of such data is not as straightforward as with electronic sensor data. This paper presents work in progress towards developing a system to fuse inconsistent information and(More)
There is an identified need for software to provide centralised command and control, information sharing, and support intelligence analysis tasks. In this paper we report on ongoing development of a centralised intelligence fusion framework to provide data and information fusion for interoperability of emergency services. In particular, the design, and(More)
High-Level Information Fusion (HLIF) utilizes techniques from Low-Level Information Fusion (LLIF) to support situation/impact assessment, user involvement, and mission and resource management (SUM). Given the unbounded analysis of situations, events, users, resources, and missions; it is obvious that uncertainty is manifested by the nature of application(More)
There is an identified need for systems to combine information from hard (electronic) and soft (human) sensors. In this paper we report an ongoing development of a centralised framework to provide data and information fusion for interoperability of emergency services. Issues relating to situation and threat assessment are discussed and fusion processes are(More)
In a crisis management context, situation awareness is challenging due to the complexity of the environment and the limited resources available to the security forces. The different emerging threats are difficult to identify and the behavior of the crowd (separated in groups) is difficult to interpret and manage. In order to solve this problem, the authors(More)
Accurate segmentation of the internal carotid artery (ICA) is a critical step towards the diagnosis of carotid artery disease. A method is presented and evaluated for segmentation of internal carotid arteries using adaptive thresholding. Thirty-two arteries were segmented with the proposed method and their stenoses classified. A specialised graphical user(More)