Institute of Informatics
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
Intelligent sensor systems and data processing
Inteligentné senzorové systémy a spracovanie dát
Duration: |
1.1.2023 - 31.12.2026 |
Program: |
VEGA |
Project leader: |
Ing. Malík Peter PhD. |
Annotation: | The central theme of Industry 4.0 and 5.0 is the digitization, intelligence and decentralization of management, so a key research is the new generation of smart sensors, able to cooperate and adapt to environment changes. This will be achieved by researching new methods of aggregating hyperspectral and multimodal data, as well as algorithms using artificial intelligence. The project is focused on intelligent algorithms for non-contact surface sensing in high-noise environments, which are able to learn the nature and noise distribution from data. This results in higher accuracy and greater noise robustness. The emphasis is on the classification and anomaly detection, which will bring more accurate and robust algorithms for use with the high noise content and long-tailed distribution that dominates in the common industrial environment. Research into aggregation algorithms for heterogeneous and multisensor data will bring new compensation mechanisms to suppress the effects of negative factors on sensor systems. |
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
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. |
Computer simulation of airflows and fire smoke spread in critical structures
Počítačová simulácia prúdenia vzduchu a šírenia dymu pri požiari v kritických objektoch
Duration: |
1.1.2024 - 31.12.2027 |
Program: |
VEGA |
Project leader: |
Mgr. Weisenpacher Peter PhD. |
Annotation: | Research in the proposed project is focused on formulation of new scientific knowledge on computer simulation of
airflows and fire smoke spread in critical structures. Motorway tunnels were selected as the main subject of
research interest based on discussions with specialists on fire safety in Slovakia. Tunnels belong to inteligent
structures with high safety requirements due to potentially huge losses in case of fire. Natural airflows, airflows
created by emergency ventilation, airflows induced by fire and fire smoke spread will be analyzed with focus on
velocity fields, velocity profiles and smoke stratification. Computational aspects of efficient parallel realization of
computer simulation on HPC systems will be investigated as well. The previous research results, experience and
obtained experimental data will be utilized. The research is in line with current research trends and requirements
of the fire researchers’ and simulators developers’ community and has potential to have significant social impact. |
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
Testing of the latest version of FDS system
Testovanie najnovšej verzie simulátora požiarov FDS
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. |
Getting the right info on ticks
Získanie pravdivých informácií o kliešťoch
Duration: |
1.7.2023 - 30.6.2027 |
Program: |
SRDA |
Project leader: |
Ing. Gatial Emil PhD. |
Annotation: | Despite the fact that the castor bean tick, Ixodes ricinus has been studied for a century, many questions regarding
its ecology remains unanswered. Several aspects of its basic biology and phenology are still unexplored. Global
changes, including climate shifts, transformation of the landscape and urbanization, contribute to the switch not
only in tick distribution, but also in bionomics and seasonal activity of ticks. The ornate dog tick, Dermacentor
reticulatus adapts quickly to changing conditions and its range is expanding. There is the need for detailed
description of areas where these ticks are found (natural as well as urban habitats), since their ranges have
changed during the last decades. The main risk factor for tick -exposed people in a given area is the density of
infected questing ticks. In the proposed project, questing activity of ticks will be monitored using the tick -plot
methodology „tick gardens“ in field plots as well as flagging the vegetation for questing ticks. Using the tick-plot
methodology, we will also follow the tick life cycle and the seasonality of various developmental events (especially
moulting) as well as the longevity of different life stages. Since these two species of ticks are considered
epidemiologically the most important, we will also identify the prevalence and occurrence of both pathogen infected
questing ticks and infected ticks feeding on animals. Furthermore, with changing conditions, the invasion and
occurrence of „non-native“ species of ticks in Slovakia will be closely monitored since these emerging tick species
can introduce new pathogens to our area. The information obtained by the research team during the project as well
as during previous studies will be transferred and used in the development of a mobile application for tick
identification and the creation of a website that will bring benefits to the general public and professionals to
understand the risk of infection with the tick-borne pathogens. |
The total number of projects: 15