Projekty badawcze realizowane przez KT:
Projects realized by KT:

With the growth of the information in different media such as TV programs or internet, a new issue arises. How a user can access to the information which is expressed in a foreign language?

The idea of the project is to develop a multilingual help system of understanding without any human being intervention broadcasting news, presented in a foreign language and to compare it to the corresponding one available in the mother tongue of the user.


Wireless networks, such as cellular networks, are in common use.  Their constantly increasing data rates are made possible by their integration with optical networks.  Cognitive wireless networks and elastic optical networks are the newest research topics in the field of these networks.  In the future the integration of the two network types will be software-defined, i.e.

The aim of the project is to find a fair admission control mechanism for flow-centric networks. The project is divided into two tasks:
1. Presentation and comparison of fair admission control mechanisms in Flow-Aware Networks (FAN). In this task, a new mechanism will be proposed for the FAN networks.
2. Comparison of FAN and DiffServ networks related to assuring fairness. In this task, a new method to provide fairness in DiffServ networks will be specified.

The research project ASTYANAX is focused on the development of a reliable methodology for the application of a Structural Health Monitoring (SHM) system on an aerodyne (rotorcraft and airplane platforms) structure.

The STAR project (SwiTching And tRansmission) has been started on January 1st, 2013. The project is financed by NCBiR and coordinated within CHIST-ERA ERA-Net Programme.  The AGH Department of Telecommunications participates in the project together with University of Leeds, University of Cambridge and Ecole Normale Superieure of Lyon. A key observation in current core networks is that most of the power is consumed in the IP layer while optical transmission and optical switching are power efficient in comparison, hence the inspiration for this project.

The E-NEXT Network of Excellence targets a key area of Information Society Technologies, namely computer networking. Framework Programme 6 aims to develop the technological basis and the people-skills necessary to deliver the promise of the information revolution - new audio-visual services and products, electronic delivery of business, health, education, entertainment, government, science and so on - and this will fundamentally impact every aspect of life and work.

(EN) GAMA - the gateway to archives of media art - provides an online access to a variety of European media art archives representing a large spectrum of media art. The quality of GAMA thrives on the very specialized focus of the archives and content providers - ranging from historical material of the 1920s to the present, and from nationally and geographically orientated archives to collections focusing on thematic perspectives.

The CONTENT Network of Excellence targets Content Delivery Networks for Home Users, as an integral part of Networked Audio-Visual Systems and Home Platforms. CONTENT aims to build the European Research Area in this important communication topic by integrating a group of experts with the purpose of taking forward the state of the art and increasing European leadership in Content Networks.

DESYME was intended to cover the existing gap between the potential of services over mobile networks and user needs. Its goal was to enable users to design mobile services to suit their requirements in an easy way.
The users who benefit from the development of DESYME had the following basic profile:
- they used Information Technology (IT) facilities in their activities; and
- they were confident that mobile services can be an answer to their business or personal needs.
However, in the current scenario they faced with these two main obstacles:

The overall goal of the MEDUSA (Multi Sensor Data Fusion Grid for Urban Situational Awareness) project is to realize a robust, high-performance, integrated, intelligent, autonomous and versatile multi-sensor data fusion grid. This 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.