Projects

The project unites researchers work in the field of ethology, cognitive science, machine vision, speech technology, soft computing, information communication and control theory. It aims to create eto-information technology, a new branch of knowledge, which establishes a brand new paradigm of the interaction between humans and information systems. Realizing this goal makes the usage of information systems easier and more natural from "intelligent phone" to remote diagnostic of elder people.

The main aim of the project is to facilitate the commercial and non-profit exploitation of the EDGeS EU FP7 Desktop Grid project (coordinated by MTA SZTAKI) and the HAGRID project (coordinated by ECONET) focusing on the Desktop Grid and WEB2 technologies. On one hand the WEB2 technologies assist to assure the resources in the desktop grid community on voluntary or settlement bases.

The overall goal of the MEDUSA project is to realize a robust, high-performance, integrated, intelligent, autonomous and versatile multi-sensor data fusion grid. This deliverable will significantly improve Situational Awareness and Command and Control in the context of force protection in urban environments - by providing a comprehensive Operational Ground Picture. In providing such, the project considers the need to address current or prospective ‘information overload’ conditions and generating both the deliverable content and its means of delivery - based on ‘relevance’.

In the previous three years of the project we developed a unique competence in the area of Internet active measurements. Our group joined the OneLab2 international consortium to build the EU Future Internet Experimental Facilty within the EU research programme Future Internet Research and

We have cooperated with the London based company BrainJuicer Group PLC since 2008. Our specialists have developed Juicing Centre 2 (JC2), a sophisticated platform used to design, test and launch online Market Research surveys based on BrainJuicer's innovative and award winning methodologies. JC2 has been built using modern Microsoft based software technologies like .NET, Silverlight and SQL Server and is a market leader in its field.

BrainJuicer's international client base includes 11 of the world’s top 20 largest buyers of market research.

When we apply sensors to measure a workspace, we can meet some interesting questions about the information content of he examined system:
   * How can we estimate that something important happened in that space?
   * Can we estimate the degree of freedom of the space of events?
   * Measuring the events in the space, can we estimate the effect of an external impact?
   * If we directly manipulate some processes in the events’ space, can we measure the effect? Meaning that we want to measure the change in the events' process affected by the intrusion.

The primary goal of present work is to develop methods for the representation of visual
information that integrates appearance, structure and motion visual cues. We believe that
this integration can increase current performance of visual information categorization
and recognition methods.
The ability to detect and classify objects and object categories is one of the most
useful functions of our visual system. We recognize almost all visual properties of
objects and scenes at a glance. We are able to learn to discriminate between object

The aim of the projekt is to systematically explore the conflict sitauations in solving the medium term production planning and short term scheduling problems, and to develop new solution approaches to tacke the two level optimisation problems. The main source of the coflicts is the diffeent objectives of the two decision levels. Since we assume that the schedulers optimize their own objectives, the planning problem is not equivalent to finding a Pareto optimal solution, but rather, a bilevel optimisation problem.

Objectives
The main objective of the project was the analysis and development of data-mining algorithms to automatically identify the key parameters of the machine tools, as well as automatic discovering of capacity related engineering knowledge without any prior information. Secondary objective was the automatic generation of the simulation model from the MES database and parameterization on the base of the data-mining algorithms.