Scientific research conducted at the Department of Intelligent Systems and Networks is focused on the wide use of modern computer science and its related sciences in industry, management, applied research, and administration. A significant part of the obtained effects has already been verified in production conditions (industrial plants, local government units), where the high effectiveness of the proposed solutions has been confirmed. Besides that, the employees of the Department seek new methods in the field of artificial neural networks and machine learning that may be used in those areas. Research is conducted in several areas:
- Cybersecurity
- Analysis and synthesis of environmental and transport systems
- Machine learning in intelligent systems
- New architectures for neural networks
Contact: jkorniak@wsiz.edu.pl
Scientific research projects financed from external sources:
Dynamically reconfigured system of environmental and public safety moni toring (cross-sector partnership: Boguchwała Smart City)
Project manager: Mirosław Hajder, Ph.D., Eng. mhajder@wsiz.edu.pl
UITM employees’ scientific activity was used to design and implement a monitoring system of various types of pollutants in the Boguchwała commune. The developed models and tools formed the basis of the project of a security monitoring system; UITM was invited by local government units to a cross-sector partnership in order to apply for financing of the project. The application was recognized by the Ministry of Development in 2019, thanks to which funds were obtained for the implementation of the project aimed at improving the state of environmental and public safety in the commune.
The research was aimed at:
1. Regionalization of methods and means of synthesis and analysis of environmental monitoring based on the use of the Internet of Things;
2.Development of methodological foundations for monitoring systems construction as pervasive computing solutions and cyber-physical systems;
3.Lowering the costs of designing, constructing and operating regional environmental monitoring systems.
Period of implementation: 2019–2022
Financing: from European Union means within the Operational Program Technical Assistance 2014-2020 “Boguchwała Smart City – Dynamically reconfigured system of environmental and public safety monitoring with detection of sources, issuers and separation of safety areas”
A new approach to effective training of complex intelligent systems
Project manager: Prof. Bogdan Wilamowski, Ph.D. Eng.
Successful completion of the project can solve many scientific and practical problems by replacing the traditional design approach with a new learning approach. This alternative method can have a broader meaning by finding solutions to many problems that until now were impossible to solve with traditional methods.
Period of implementation: 20.01.2016–25.06.2019
Financing: National Science Center OPUS program
Contact: jkolbusz@wsiz.edu.pl
Intelligent non-linear systems with shallow and deep architectures
Manager: Prof. Bogdan Wilamowski, Ph.D., Eng.
Recent research shows that the most popular architectures such as SLP (Single-Layer Perception) (MLP with one hidden layer) have very limited capabilities. For example, with a network of 10 SLP neurons, you can solve a Parity-9 problem while a FCC (Fully Connected Cascade) network with the same number of neurons allows to solve Parity-1023 problems. Unfortunately, popular learning algorithms (including the LM algorithm) are not capable of learning this type of compact and powerful architectures. The problems associated with the use of traditional neural networks pushed scientists to look for other directions, such as fuzzy systems, SVM (Support Vector Machine) or ELM (Extreme Learning Machines). It turns out that these complex problems can be solved using new compact architectures. Therefore, research in the project focused on networks with new compact architectures and new learning algorithms.
Period of implementation: 16.07.2014–15.01.2017
Financing: National Science Center OPUS program
Contact: jkolbusz@wsiz.edu.pl
