'Within the framework of the FP7 3° call several policies are related to the maritime surveillance for safety purposes as border surveillance, traffic safety, fishery control and environmental protection and monitoring (i.e. sea platform infrastructures and sea ports).
Within all these policies the detection and the tracking of small vessels assumes a central strategic issue. A common tool, useful for monitoring the maritime borders and in particular maritime routings and traffic and the management of pollution, is proposed. In this program a Simulator for a Moving Target Indication System will be implemented. The heritage of the FP7 2° call is taken into account concerning the Operational Scenarios, the EU Techniques and Technologies and possible contributions from planned or on-going Space Missions. The SIMTISYS program will assure to the European Service Providers a useful and powerful tool for detection and tracking of small vessel in defined Scenarios.'
'Wireless communications technologies play an irreplaceable role in emergency and disaster relief scenarios. Nevertheless, it is generally acknowledged that existing wireless communication networks frequently fall short of meeting users’ needs and cannot properly support the management of these critical situations.
Project HELP will establish a comprehensive solution framework for supporting public safety communications aspiring to significantly enhance the communication resilience and responsiveness in emergency situations. The envisioned solution framework consists of significantly strengthen the role and commitment of commercial wireless infrastructures in the provision of public safety communications, especially in the case of aftermath crisis scenarios where the exceptional traffic demand can exceed the capacity and coverage provided by any single infrastructure. Only a solution framework targeted to create and exploit synergies of composite radio systems encompassing commercial and PMR networking technologies can address the complex requirements of modern emergency and disaster relief communications.
Project HELP will define and establish the foundations for the development of network and spectrum sharing concepts between networks by identifying outstanding technical advances with respect to current state-of-the art. Project HELP will identify the key features and functional building blocks of the operations and management system needed to achieve a synergic and holistic operation of the composite radio systems.
Project HELP dissemination plan is strongly committed towards the achievement of a qualified wide awareness and support of relevant end users, European industry and research community. It is expected that the resulting solution framework will firmly constitute a solid basis and establish a clear roadmap to drive future research activities, in particular, throughout the development of a large scale phase II demonstration project.'
The emergence of networked embedded systems and sensor/actuator networks has made possible the collection of large amount of real-time data about a monitored environment. Depending on the application, such data may have different characteristics: multidimensional, multi-scale, spatially distributed, time series. Moreover, the data values may be influenced by controlled variables, as well as by external environmental factors. However, in many cases the collected data may be incomplete, or it may not make sense for various reasons, thus compromising the sensor-environment interaction and possibly affecting the ability to manage and control key variables of the environment. Such problems are generally the result of some fault in the sensor/actuator system itself or an abnormality in the monitored environment, which may be either permanent or temporary, developing abruptly or incipiently. These problems become more pronounced as sensing/actuation systems get older. The main objective of this project is to develop intelligent methods for analyzing and interpreting the data such that faults are detected, isolated and identified as soon as possible, and accommodated for in future decisions or actuator actions. The problem becomes more challenging when these sensing/actuation systems are used in a wide range of environments which are not known a priori and, as a result, it is unrealistic to assume the existence of an accurate model for the behavior of various components in the monitored environment. Therefore, this project will focus on cognitive system approaches that can learn characteristics or system dynamics of the monitored environment and can adapt their behavior and predict missing or inconsistent data to achieve fault tolerant monitoring and control.