Projects

Parallel to its on-line version the department has developed the CD version (using BRS/SEARCH database technology) of the Hungarian Firms Registry. The content of the CD is updated monthly and distributed among the subscribers by post.

Participants: MTA SZTAKI - ITAK, COMPANY DATA Kft.

Web4Groups was an EU-funded project among the Telematics Application Development Projects of the Fourth Framework Program. Its main goal was to develop an advanced, web-based groupware system. The project went on from 1995 to 1998. The software developed by the project is no longer in operation, but several new systems are based on the concepts and code of this software.

Introduction

VASIE (ESSI Project No 10211) aimed to provide value-added information for the European software best practice repository and to permanent disseminate the validated ESSI Process Improvement Experiments (PIE) results through the WWW. All ESSI improvement projects were reviewed, categorised and added continuously to the repository for dissemination.

Co-operating with the international company called OpenText Inc. (earlier Dataware Inc.) we have developed a special on-line information service technology. The technology is based on a professional textual database management system, called BRS/SEARCH and its extension for the World Wide Web, called NetAnswer. The technology is especially suitable to handle large databases containing primarily textual information.

The Sindy Project is Institute's own unmanned aerial vehicle development project. The aircraft was designed to serve as a test platform for UAV on-board avionics system development. The mathematical model will be  identified and it will be made available to the public. The main goal was to create an easily reproducible aircraft, using accessible parts and simple technologies, which only require ordinary tools. This feature - together with the availablity of the mathematical model - makes this aircraft a good platform for control research purposes.

Cloud services are spreading around the globe both for academic and business use. The reason for their popularity lies in the fact that cloud computing is largely scalable and flexible, enabling users to utilize it in varying fields and at different scales. MTA aimed to conform to these new trends and to face the challenges of such an endeavor by creating its own cloud service, made possible by the joint efforts of MTA SZTAKI and MTA WIGNER FK Data center.

The aim of the present study is to develop and evaluate a computer-based methods for automated and improved detection and classification of different colorectal lesions, especially polyps. For this purpose first, pit pattern and vascularization features of up to 1000 polyps with a size of 10 mm or smaller will be detected and stored in our web based picture database made by a zoom BLI colonoscopy. These polyps are going to be imaged and subsequently removed for histological analysis. The polyp images are analyzed by a newly developed deep learning computer algorithm.

We develop data stream processing and predictive analytics tools for telecommunications data. One of our goals is a distributed Internet of Things data hub.