Institute of Information Theory and Automation

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Department: MTR Duration: 2021 - 2024 Grantor: GACR
Cílem projektu je kvantitativní analýza dvou nejběžnějších nástrojů kontroly emisí oxidu uhličitého: uhlíkové daně a obchodu s emisemi (tzv. systém Cap and Trade).
Department: ZS Duration: 2021 - 2024 Grantor: FG
The main objective of the storAIge project is the development and industrialization of FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies, allowing the prototyping of high performance, Ultra low power and secured & safety System on Chip (SoC) solutions enabling competitive Artificial Intelligence (AI) for Edge applications. The main cha
Department: MTR Duration: 2021 - 2024 Grantor: GACR
We will propose a mathematically lucid setting for the derivation of reduced models from nonlinear continuum thermomechanics. We will justify linearized models in thermoviscoelasticity and viscoplasticity as limits of the nonlinear deformation theory employing variational convergence.
Department: MTR Duration: 2021 - 2025 Grantor: GACR
The aim of the project is to develop analytical tools to support the investigation of the locomotion of soft-bodied animals and robots, with a focus on limbless locomotion. Topics such as stabilization to limit cycles, optimal control and multiscale models will be studied.
Department: SI Duration: 2021 - 2023 Grantor: GACR
We want to conduct some meaningful and fruitful research into multivariate nonparametric econometrics.
Department: ZOI Duration: 2021 - 2023 Grantor: GACR
The project aims at developing a conceptually novel approach to inverse problems by proposing a unified theory of invariants to integral transformations using projection operators, and applying it to image restoration and classification problems in biomedical imaging and robotics.
Department: Duration: 2021 - 2023 Grantor: GACR
Project will be devoted to the investigation of novel concepts for the analysis and design of nonlinear controllers of flexible and chained mechanical systems to either compensate or control efficiently their oscillatory modes and limit cycles.
Department: E Duration: 2020 - 2021 Grantor: TACR
Cílem projektu je vytvoření softwarového nástroje pro simulaci sociálních vazeb a protiepidemických opatření, který umožní porovnat efektivitu opatření s jejich dopadem na život jednotlivce i společnosti. Jádrem tohoto nástroje je síťový model dosavadního šíření COVID-19 v ČR.
Department: ZOI Duration: 2020 - 2021 Grantor:
Řešení automatické analýzy spadu v úlech za účelem detekce Varroa pomocí metod digitálního zpracování obrazu
Department: ZS Duration: 2020 - 2022 Grantor: FG
The EIT Urban Mobility Doctoral Training Network is a collective of universities, academics, and PhD candidates that seeks to promote innovation and entrepreneurship in the field of urban mobility based on the knowledge triangle (education, research, and business).
Department: E Duration: 2020 - 2022 Grantor: GACR
The pre-2008 consensus on what is the most appropriate economic policy melted away. Since then, economists and policymakers have faced new challenges like the zero lower bound, the non-neutrality of financial regulation for the long-term economic performance, and increased uncertainty.
Department: E Duration: 2020 - 2022 Grantor: GACR
The project focuses on analysis of specific aspects of cryptoassets (cryptocurrencies), specifically on three main branches of research. First, we study the cryptoassets pricing mechanisms, mainly with respect to their fundamental factors such as number of users, number of transactions, traded volume, and others.
Department: ZS Duration: 2020 - 2021 Grantor: FG
UrbanSmartPark project focusses on the development and pilot demonstration of automated vehicles that simplify driverless on-street inner-city parking and provide a broad range of possibilities for parking-related services. Activities are coordinated by Technical University of Braunschweig, Automotive Research Center Lower Saxony.
Department: ZS Duration: 2020 - 2021 Grantor: FG
The project TIE aims at creating a strategic infrastructure for urban policy management in the field of urban mobility. This will be done by advancing the ability of cities to define, adopt, and implement policy recommendations that aim to improve mobility, based on a thorough understanding of the TIE’s components and resources, and how those components and resources interact with each other.