BonFIRE will design, build and operate a multi-site Cloud prototype FIRE facility to support research across applications, services and systems at all stages of the R&D lifecycle, targeting the services research community on Future Internet.
Az E+grid adaptív intelligens energia-pozitív közvilágítási rendszer kifejlesztését a napenergia közvilágítási rendszerekben történő felhasználása, az intelligens energiahálózatok (smart grid) terjedése, az energiatakarékosságra való törekvés, valamint az intelligens városokban (smart cities) a közvilágítástól elvárt hozzáadott szolgáltatások motiválták.
The main goal of ProActive is to research a holistic citizen-friendly multi sensor fusion and intelligent reasoning framework enabling the prediction, detection, understanding and efficient response to terrorist interests, goals and curses of actions in an urban environment.To this end, ProActive will rely on the fusion of both static knowledge(i.e. intelligence information) and dynamic information (i.e. data observed from sensors deployed in the urban environment).
The integrated4D (i4D) project of MTA SZTAKI is a joint mission of the Distributed Events Analysis Research Laboratory (DEVA) and the Geometric Modelling and Computer Vision Laboratory (GMCV). The main objective of the project is to design and implement a pilot system for the reconstruction and visualisation of complex spatio-temporal scenes by integrating two different types of data: outdoor 4D point cloud sequences recorded by a car-mounted Velodyne HDL-64E LIDAR sensor, and 4D models of moving actors obtained in an indoor 4D Reconstruction Studio.
The INARMERA-ICT Project aims at reinforcing the cooperation capacity of the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of the Republic of Armenia by providing the possibilities to improve its research activities in the areas of thematic priorities of the 7th Framework Programme.
The objective of the Chaoster project is to create a collaborative software system for crisis management on mobile platform using new paradigms. We are also going to research and develop the enabling technologies and algorithms, in the fields of networking, communication, group decision, context identification and mobile, semantic and cooperative software. The project aims to have an interdisciplinary approach.
RLW Navigator aims to develop an innovative Process Navigator to configure, integrate, test and validate applications of Remote Laser Welding (RLW) in automotive assembly addressing today’s critical needs for frequently changing operating conditions and product-mix provisions. Thus, RLW Navigator will crucially serve as an enabler for future energy efficient smart factories. Our Laboratory is responsible for configuring RLW robotic cells, generating optimal off-line robot programs, as well as simulating the operation of cells.
Earth observation is a growing field of interest in various application areas, such as monitoring agricultural activity, detection of pollution and environmental crimes, management of urban area expansion, crisis management, including civil protection, or homeland security. However, the evaluation of the collected remotely needs exhausting human intervention up to now due to the rich and continuously augmenting content and various aspects of assessment. For this reason, necessity of automated recognition problems in remote sensing is raised by both national and international demands.
The lean usage of resources and improvement of energy efficiency have been receiving increasing attention in recent years, and even the less environmentally conscious will have to change their consumption practices due to rising energy prices as well as more and more strict regulations. In some cases, such adaptation may require in-depth expert knowledge and thorough planning, implementation and operation procedures, as is the case with the energy management of large public buildings.