Institute of Informatics
Analysis of environmental influences on power industry equipment by the methods of artificial intelligence and cloud computing (ARIEN)
Analýza vplyvu prostredia na zariadenia energetického priemyslu metódami umelej inteligencie a cloudového počítania
| Duration: |
1.7.2021 - 31.12.2023 |
| Program: |
SRDA |
| Project leader: |
Ing. Kvassay Marcel PhD. |
| Annotation: | The main goal of project ARIEN is to develop & verify a new innovative method for the estimation of local pollution
deposition for power industry needs based on the data collected by the SHMU Institute. It will rely on advanced
techniques of artificial intelligence, cloud computing and data integration and was not yet applied in Slovak power
industry. It will help to prevent outages on 110 kV and 400 kV overhead lines caused by flashovers. The results
obtained by this method will help to optimize the design of insulators and improve the quality of maintenance during
operation. Artificial intelligence is the logical choice, because so far we have not been able, due to their complexity,
to describe the processes of pollution dispersion, deposition and chemical interaction adequately by standard
physical and chemical models.
Techniques of artificial intelligence and neural networks can find new relationships between the input and the
output data. Neural networks, however, require large training sets. Therefore, the second project goal is to develop
a method for obtaining a sufficiently large set of synthetic data for their training and testing.
The third project goal is to research & develop a new method for measuring the insulator pollution by the analysis
of their acoustic emissions captured by contactless detectors placed in their vicinity. Here we rely on the
experience of the project partner VUJE with measurement systems installed on overhead lines and able to work
during their normal operation.
These goals reflect current priorities of European research as well as pressing needs of Slovak power industry: in
2015, the standard STN 33 0405 regulating the assessment of high-voltage insulator pollution deposition and their
required cleaning frequency, was withdrawn. The new methodology will help replace the tedious & demanding
process mandated by this standard by a new one relying on readily available information and the latest computing
techniques. |
Diagnosis of Alzheimer's disease from speech using artificial intelligence and social robotics
Diagnostika Alzheimerovej choroby z reči s použitím umelej inteligencie a sociálnej robotiky
Early Warning of Alzheimer
Early Warning of Alzheimer
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Estimátor výroby FVE SR na báze inštalovaného výkonu, lokality, času a meteo veličín
Intelligent Cloud Workflow Management for Dynamic Metric- Optimized Application Deployment (ICONTROL)
Inteligentné riadenie tokov práce v cloude pre dynamické a metrikami optimalizované nasadzovanie aplikácií
| Duration: |
1.7.2021 - 31.12.2023 |
| Program: |
SRDA |
| Project leader: |
doc. Ing. Hluchý Ladislav CSc. |
| Annotation: | ICONTROL is a platform for dynamic and intelligent function-based workflow application deployment and run-time
redeployment in hybrid edge cloud computing environments.
ICONTROL will automatically construct and deploy complex workflow-based cloud applications in an end-to-end
manner. ICONTROL will use semantic information on available cloud-based application functionalities to
automatically generate complex workflows of functions, which will be executed across edge and cloud resources. It
will help users to automate function selection, configuration and deployment, dealing with run-time failure or
performance issues through automated redeployment. To remove obstacles for non-cloud expert users to use
complex function-based workflow applications, ICONTROL will support a separation of tasks among 3 categories of
specialists. Cloud application developers will develop application and backend functions, semantically annotate and
describe them. AI-powering algorithms will assist domain application experts to create application workflows using
functionalities provided by the cloud application developers, with semi-automated workflow construction techniques
by leveraging semantic descriptions. Application users will be able to use
their application workflows to instantiate, deploy and run their applications using the automation capabilities of the
proposed system in complex hybrid edge and cloud environments, not burdened by complexities related to
workflows selection, application deployment, fault resolution, resource elasticity provision, to name just a few.
ICONTROL will significantly improve composability and adaptability of workflow-based applications spanning the
entire edge-cloud continuum (from remote wireless IoT sensors, through personal devices, to large computing
centers), by creating a semantically-enriched, platform-agnostic, and secured FaaS workflow development and
execution platform, with automatic infrastructure resource management and provisioning. |
Manipulation of spin properties in 2D materials
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Microelectromechanical sensors with radio frequency data transmission
Mikroelektromechanické senzory s rádiofrekvenčnýcm prenosom údajov
| Duration: |
1.7.2021 - 30.6.2025 |
| Program: |
SRDA |
| Project leader: |
Ing. Havlík Štefan DrSc. |
| Annotation: | The project elaborates the method proposed by the authors, especially of mechanical quantities with wireless
signal / energy transmission via electromagnetic field, solution of sensors as well as (micro) electro-mechanisms
(MEMS). The task is a logical continuation of the results achieved within the successful solution of the previous
project APVV 14-0076, where the principle of scanning and conception of the sensor solution according to the
original design (utility model 8653, published patent applications PP 121-2018) was designed and verified. The
presented project represents further theoretical and methodological-experimental processing in order to meet
specific requirements for the solution of specific sensors including compliant - deformation members and electronic
evaluation circuits as well as other electro-mechanisms with respect to selected applications. Part of the solution is
to create tools for modeling, simulation and optimization of properties using available MEMS technologies. The
project aims to follow the latest global trend in MEMS solutions. |
Modelling and supervisory control of resource allocation systems in discrete-event systems using of Petri nets
Modelovanie a supervízorové riadenie systémov prideľovania zdrojov v udalostných systémoch pomocou Petriho sietí
| Duration: |
1.1.2021 - 31.12.2024 |
| Program: |
VEGA |
| Project leader: |
Doc. Ing. Čapkovič František CSc. |
| Annotation: | Discrete-Event Systems (DES) are systems that remain in a given state until they are forced to change this state due to the occurrence of a discrete event. In practice, e.g. flexible manufacturing systems (FMS), robot cells, transport and communication systems, etc. are DES. Resource Allocation Systems (RAS) in DES tend to deadlocks. Deadlocks must be eliminated. Petri Nets (PN) will be used to model RAS and synthesize their control to avoid deadlocks. Two approaches to the supervisor synthesis will be explored: (i) on the basis of P-invariants of PN, at the simultaneous thorough analysis of the reachability tree (RT) of PN and at knowledge of the initial state of the PN model; (ii) by the thorough analysis of the PN model stucture and finding siphons and traps without the need to know the initial state. These two approaches will be compared. Their effectiveness and their advantages and disadvantages will be evaluated using the simulation in the Matlab environment. |
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Nanoštruktúrne polovodivé materiály a ich integrácia do chemoodporových senzorov plynov a do senzorov ťažkých kovov
Low-dimensional materials - manipulation, functionalisation and bioapplications: LOW-D-MATTER
Nízko-dimenzionálne materiály- manipulácia, funkcionalizácia a bioaplikácie: LOW-D-MATTER
Ontology representation for security of information systems
Ontologická reprezentácia pre bezpečnosť informačných systémov
| Duration: |
1.7.2020 - 30.6.2024 |
| Program: |
SRDA |
| Project leader: |
Ing. Budinská Ivana PhD. |
| Annotation: | According to the action plan of the government of the Slovak Republic, one of the priorities is to “support research in cyber security”. This project proposal responds to the action plan's requirements by setting research objectives and goals in the field of cybersecurity. The project proposal focuses on new approaches in sharing knowledge about security incidents and indicators.
There are several initiatives that seek to formalize and standardize security incidents descriptions. However, it is neither realistic nor desirable to assume that there will be one common standard for describing security incidents. The solution can be offered by creating a core ontology, which semantically integrates various approaches to describing threats and attacks, thus enabling the integration of several standards and knowledge repositories. The tools for representation and processing of ontologies will be used for this purpose. It will be a combination of procedures for collecting data from network communication, creating the necessary ontologies eg. semiautomatic extraction of ontologies from text in natural language – ontology learning, use of selected advanced methods of ontological knowledge representation, e.g. contextualized representation or methodology of ontological metamodeling. A significant shift will be that the ontology of the model can be represented by a graph. The results can be expected to contribute to more efficient sharing, representation, storage, and use of cybersecurity knowledge. |
Progressive methods of the transfer of nanostructured semiconductive 2D materials based on transition metal dichalcogenides onto microelectronic elements
Progresívne metódy transferu nanoštruktúrnych polovodivých 2D materiálov na báze dichalkogenidov tranzitných kovov do mikroelektronických prvkov
| Duration: |
1.1.2022 - 31.12.2025 |
| Program: |
VEGA |
| Project leader: |
Ing. Mgr. Andok Robert PhD. |
| Annotation: | The aim of this project is to carry out basic research in the field of new progressive nanostruct. semiconductive materials based on dichalcogenides of transition metals with the focus on nanostructured disulfides. The properties of selected nanostructured disulfides will be examined in terms of their use in microlelectronics and expected advantages of nanostructured disulfides in comparison with bulk semiconductor materials will be shown.
We will design model microelectronic devices based on specific nanostructured disulfides such as WS2, MoS2, MSe, and develop technological methods for their preparation. We will master mechanical exfoliation of nanostructured disulfide layers and transfer of these nanostructured layers to the microelectronic device on the substrate. We will also focus on the analysis of these layers and their structural properties by physical methods (SEM, AFM, EDX, Raman spectroscopy...) and on the characterization of electrical and transport properties of the model microel. structure. |
Semantic distributed computing continuum for extreme data processing
Sémantické distribuované výpočtové kontinuum pre spracovanie extrémnych dát
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Štúdium elektrónových vlastností 2D materiálov ultra-presnými metódami kvantového Monte Carla
Automatic speech processing technologies for support in crisis situations
Technológie automatického spracovania reči na pomoc v krízových situáciách
Artificial Intelligence for Personalised Oncology: from Single-Sample Assessment to Real-time Monitoring of Solid Tumours (AIPOLOGY)
Umelá inteligencia pre precíznu onkológiu: od analýzy jednotlivých vzoriek po real-time monitorovanie progresie nádorových ochorení.
| Duration: |
1.7.2022 - 30.6.2025 |
| Program: |
SRDA |
| Project leader: |
doc. Ing. Hluchý Ladislav CSc. |
| Annotation: | The methodologies that oncologists use to decide on a patient's treatment are ever changing. It seems to us that 21st century cancer medicine is much about analysing big data and using mathematical modelling to extract information that can help predict how tumours will evolve and react to potential therapies. The sad fact is, however, that despite ever increasing knowledge on cancer we still lack the proper tools to translate this knowledge to an impactful “bedside” practice that would overcome the limitation from cancer heterogeneity and allow real-time monitoring of disease progression. Here, we propose the AIpology project that aims at the development of novel artificial intelligence strategies to identify molecular traits (individual mutations, mutation signatures and genomic scars) in heterogeneous cancer genomes for which therapeutic targets exist. Based on target clonal mapping and ordering, the system will then outline possible courses of treatment and will intelligently adapt as more data from real time monitoring approaches (such as liquid biopsy) will become available. The system will help us to track each target at the finer time scale than it is possible today and predict future (i.e how the tumour will evolve after being treated with a specific drug) and past (i.e. how long the tumour existed prior to detection) cancer evolutionary trajectories from existing data. Finally, we will understand better why certain cancers become (chemo)therapy-resistant and derive clinically relevant recommendations when they do. |
Research on the application of artificial intelligence tools in the analysis and classification of hyperspectral sensing data (HYSPED)
Výskum aplikácie prostriedkov umelej inteligencie pri analýzach a klasifikácií dát hyperspektrálneho snímkovania
The total number of projects: 17
