Started in January 2016, the EXCELL project (Actions for Excellence in Smart Cyber-Physical Systems applications through exploitation of Big Data in the context of Production Control and Logistics) foresees the collaboration of researchers from four European countries (Hungary, Germany, United Kingdom, Belgium) in the field of Cyber-Physical Systems and Big Data applications serving production and logistics networks.
STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalized recommendation, and more broadly targeted services. STREAMLINE will develop cross-sectorial analytics drawing on multi‐source data originating from online media consumption, online games, telecommunications services, and multilingual web content. STREAMLINE partners face big and fast data challenges.
Our goal is to overcome the present state of the art (decision trees, logistic regression) in analyzing customer behavior and predicting risks for bank customers. We emphasize the deployment of open source analytics software. Our partner is OTP Bank.
Since autumn 2015, our laboratory cooperates with Hoya Szemüveglencse Gyártó Magyarország Ltd. within the topics of simulation analysis and „Industry 4.0”. The primary goal of the project is to model different segments of the company’s plant in Mátészalka, according to different capacity planning and process improvement criteria. Within the developments and workshops of the cooperation, the engineers of Hoya picked up the basics of simulation modelling, enabling them to use this technology in the everyday practice.
Modern multifunctional clinical instruments enhance the accuracy of the medical diagnostics. The aim of this development project is to create a multi or hyper-spectral illuminator that can be used in medical imaging instruments such as endoscopes. The new illuminator will be able to generate high power light beam composed of arbitrary narrow bandwidth spectral components and modify the composition quickly in time to support multi-spectral imaging with a video camera.
The homepage of the project:
The eLearning Department of MTA SZTAKI prepares a stand-alone mobile application named as GUIDE@HAND Hercegkút within the framework of project entitled "Development of highlighted tourism attractions and services" which is available on iOS and platforms in 5 languages. The application includes several guided walks and panorama pictures among other tourist services on village Hercegkút located in the Tokaj wine region.
The European manufacturing industry is facing challenges in terms of adaptability, flexibility and vertical integration. The SYMBIO-TIC project adresses these important issues towards a safe, dynamic, intuitive and cost effective working environment were inmersive and symbiotic collaboration between human workers and robots can take place.
Our laboratory has a long-term and fruitful partnership with the Aventics (former Bosch Rexroth) company. The factory, located in Eger (Hungary), produces pneumatic components and systems. Within the partnership our laboratory provides support to the introduction and application of advanced decision making tools in the manufacturing and logistics areas of the company.
The eLearning Department of MTA SZTAKI prepared an application optimised for mobile devices for Mobilis Ltd. in order to support career orientation activity within the framework of project entitled "Development of Economical and Social Role of Regional Innovation and Technology Centre of Automotive Industry on the Basis of the Széchenyi István University". The application can be found under name of
"6ásos mérnök" in the application stores (Google Play és Apple App Store).
Existing research mostly focuses on pre-optimising algorithms, which are not applicable to already available VM images. With its VM synthesiser, ENTICE will extend pre-optimising approaches so that image dependency descriptions are mostly automatically generated. The project will also introduce new comprehensive post-optimising algorithms so that existing VM images can be automatically adapted to dynamic Cloud environments.