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The growing interest in surveillance in public, military and commercial scenarios is increasing the need to create intelligent or automated distributed visual surveillance systems. Many applications based on distributed resources use the software agent paradigm. In this work, a multi-agent framework is applied to coordinate an indoor-surveillance system(More)
Type 2 diabetes mellitus is a complex metabolic disease, and cardiovascular disease is a leading complication of diabetes. Epicardial adipose tissue surrounding the heart displays biochemical, thermogenic, and cardioprotective properties. However, the metabolic cross-talk between epicardial fat and the myocardium is largely unknown. This study sought to(More)
The identification of genetic markers associated with oral cancer is considered essential to improve the diagnosis, prognosis, early tumor and relapse detection and, ultimately, to delineate individualized therapeutic approaches. Here, we aimed at identifying such markers. Multiplex Ligation-dependent Probe Amplification (MLPA) analyses encompassing 133(More)
The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the so-called software agent technology. In this paper, a multi-agent framework is applied to coordinate(More)
Ambient Intelligence (AmI) aims at the development of computational systems that process data acquired by sensors embedded in the environment to support users in everyday tasks. Visual sensors, however, have been scarcely used in this kind of applications, even though they provide very valuable information about scene objects: position, speed, color,(More)
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss the(More)
In this paper we describe the Cooperative Sensor Agents (CSA), a logical framework of autonomous agents working in sensor network environments. CSA is a two-layer framework. In the first layer, called Sensor Layer, each agent controls and manages individual sensors. Agents in Sensor Layer have different capabilities depending on their functional complexity(More)
Maritime surveillance involves gathering and integrating a large amount of heterogeneous information of variable quality to provide diverse decision makers with reliable knowledge about situations and threats. This requires information processing at all fusion levels while taking into account contextual information. Context is especially important for(More)