Institute of Information Theory and Automation

You are here

Projects

Dept.: MTR Duration: 2018 - 2020
Our research effort follows the current challenging problems of portfolio analysis and energy finance. In particular, we shall investigate sparse robust portfolio selection problems with non-smooth objectives and analyze the joint effects of sparsity and robustification using real stock exchange data.
Dept.: AS Duration: 2018 - 2020
Optimal processing of distributed knowledge is key agenda in machine learning, signal processing and control, driven by sensor networks for smart environments, autonomous agents and distributed infrastruktures (clouds, Internet) serving the tnternet of things. Nodes may communicate via partially specied probability distributions (moments, etc.).
Dept.: AS Duration: 2018 - 2020
Anomaly detection, which aims to identity samples very different from majority, is an important tool of unsupervised data analysis. Currently, most methods for anomaly detection use relatively simple shallow models without any complex layers and hierarchies.
Dept.: ZOI Duration: 2018 - 2020
The goal of the project is to develop new methods for colour image acquisition and processing and to apply the results of this research in selected practical applications. The project is aimed at colour image with high colour resolution, with up to several tens colour components.
Dept.: ZOI Duration: 2018 - 2020
The topic of this project is to develop efficient algorithms for robust image description and for recovering a clear image from its degraded version.
Dept.: MTR Duration: 2018 - 2020
Graded properties are ubiquitous in human discourse and reasoning. They are characterized by the fact that they may apply with different intensity to different objects. Typical examples are vague properties (e.g.
Dept.: ZOI Duration: 2018 - 2020
Objects moving fast with respect to the camera appear blurred when observed. Surprisingly this common phenomenon has not yet been considered and analyzed by the computer vision community. It is the blur that encodes information about the object motion properties. Instead of considering blur as a nuisance, the project proposes to take it as a cue for detection and tracking of fast moving objects.
Dept.: ZOI Duration: 2018 - 2020
The proposal falls into the area of computer image analysis and pattern recognition. It is focused on special type of data - multidimensional vector and tensor fields. Vector fields may describe particle velocity, optical/motion flow, image gradient, deformation/condutivity/diffusion tensors, and other phenomena.
Dept.: ZOI Duration: 2018 - 2023
Dept.: ZOI Duration: 2018 - 2019
The aim of our project is to create a software system to support speech therapy for adults and children with inborn and acquired motor speech disorders. The planned system focuses on individual treatment using exercises that improve tongue motion and thus articulation.
Dept.: AS Duration: 2017 - 2021
Objective of the project is to contribute to theoretical and algorithmic development of cooperation and negotiation under complexity and uncertainty. The desired theory should be applicable to decentralised dynamic decision making under a flat cooperation structure without pre-coordination. It will support single agent acting within a network of strategically interacting agents.
Dept.: ZOI Duration: 2017 - 2019
The basis of the project is the implementation of Industry 4.0 principles during production and repairs of constructional layers of surface transportation.The aim is the automation and optimization of the technological process of measuring and processing data about the surface of ground transportation by virtualization of all technological processes including the establishment of particular metho
Dept.: ZS Duration: 2017 - 2020
SILENSE is an ECSEL JU standard (RIA) project. The SILENSE project will focus on using smart acoustic technologies and ultrasound in particular for Human Machine- and Machine to Machine Interfaces. Acoustic technologies have the main advantage of a much simpler, smaller, cheaper and easier to integrate transducer.
Dept.: ZS Duration: 2017 - 2020
Productive4.0 is one of the first Lighthouse projects funded under the ECSEL Joint Undertaking. The main aim is to create a user platform across value chains and industries, that especially promotes the digital networking of manufacturing companies, production machines and products.

Pages