During the World War I ,II over fifty countries in the world today have been inherited a legacy of antipersonnel landmines and unexploded ordnance (UXO) which represents a major threat to lives, and hinders reconstruction and development efforts. Landmines have specific properties that make it harder to detect .Therefore; these properties lead landmine detectors to become more complex. Many exa...

ALIS (Advanced Landmine Imaging System), which is a novel landmine detection sensor system combined with a metal detector and GPR, was developed. This is a hand-held equipment, which has a sensor position tracking system, and can visualize the sensor output in real time on a head-mounted PC display. In order to achieve the sensor tracking system, ALIS needs only one CCD camera attached on the s...

BACKGROUND The purpose of this exploratory study is to pilot a biopsychosocial instrument called the Perceived Impact of Problem Profile (PIPP) on a cohort of landmine/Unexploded Ordnance (UXO) victims with lower limb disability versus a cohort of persons with similar disability due to other trauma or medical causes. The aim is to provide greater understanding of the psychosocial impact of land...

Understanding of human expertise and its acquisition has progressed substantially since Chase & Simon’s seminal studies of chess expertise. Computational theories of expertise have been developed in domains such as memory, mental calculation, chess, and problem solving that explain expert performance at the level of cognitive structures and processes. Basic and use-inspired studies have demonst...

BACKGROUND Landmines can cause death, injury and disability in addition to many indirect public health consequences. This study aimed at understanding the trends, demography and other epidemiological characteristics of hospitalized landmine injured patients in Erbil governorate. METHODS The case records of landmine injured patients who had been admitted to the Emergency Management Centre in E...

We consider the problem of information fusion frommultiple sensors of different types with the objective of improving the confidence of inference tasks, such as object classification, performed from the data collected by the sensors. We propose a novel technique based on distributed belief aggregation using a multiagent prediction market to solve this information fusion problem. To monitor the ...

Prediction markets have been shown to be a useful tool in forecasting the outcome of future events by aggregating public opinion about the event’s outcome. We consider an analogous problem of information fusion from multiple sensors of different types with the objective of improving the confidence of inference tasks, such as object classification. We develop a multi-agent prediction market-base...

Landmines pose a major military threat as well as a serious humanitarian problem. The difficulty of detecting buried landmines, especially modern landmines with minimal metallic content, contributes heavily to the problem. The two projects described here took a cognitive engineering approach to improve detection capability via development and implementation of scientifically principled operator...

In this paper, we obtain the Complex Natural Resonances of an object from backscattered response in frequency domain with a novel rational function approximation method based on both Vector Fitting and Cauchy methods. We determine system order initial set poles, which are used as basis for approximation. The results simulations experiments show improvement reconstructed signals accuracy CNRs ca...