CriNet, Critical Network SDN Security System - SDN security system for critical infrastructure
The aim of the CriNet project is to develop a crucial technology "SDN for OT" and products based on it. The products include software systems and prototypes of Polish network equipment, which will allow to use modern philosophy: Software Define Networks to secure Industrial Control Systems and Operational Technology (OT). Products of this project will increase cyberspace situational awareness of the operator of critical infrastructure. It will also allow easy execution of security policies in response to incident, which will allow a momentary reconfiguration of network. Such a capability is a substantial increase ofsecurity of equipment and processes of critical infrastructure. Use of national equipment increases security of supply chain. The idea of developing SDN network equipment dedicated to OT security and idea of using SDN to secure critical infrastructure in a way described in the project constitutes a world innovation.
Coordinator: PhD Dominik Strzałka, Assoc. Prof.
Machine learning methods in modeling and analyzing of the legs and joints stiffness impact on injuries related to physical activity
The aim of the project is to develop an IT system for tracking the running process, collecting data and analyzing them in terms of avoiding injuries and building an IT system for analyzing the degree of leg stiffness. As part of the project, measuring devices for testing movement parameters will be made. Measurement data will be collected and analyzed using AI-based methods. The obtained mathematical models and algorithms will allow to create software that will measure the degree of leg stiffness in real time. Based on the expertise of specialists, changes in the leg stiffness parameter will be determined, which are correlated with the occurrence of the injury. The project requires the involvement of an interdisciplinary team including people representing the following disciplines:
- physics - theoretical development of motion parameters, consultations in the construction and preparation of measuring devices, interpretation of measurement results.
- biomedical engineering - designing devices for measuring motion parameters, making devices, preparing devices and software.
- computer science - acquisition and collection of measurements, software of mathematical models, data filtering - machine, data processing and analysis - machine learning, mathematics - analyzing data, filtering data according to specific rules, creating various mathematical models, optimizing models, creating machine learning rules.
Principal Investigator: prof. A. Włoch
Interdisciplinary Cyber Training – a project related to the problems of cybersecurity in SME
NIST’s National Initiative for Cybersecurity Education (NICE) indicates that there should be done crucial steps toward remedying the shortage of “people with the knowledge, skills, and abilities to perform the tasks required for cybersecurity work.” Such a workforce will include “technical and nontechnical roles that are staffed with knowledgeable and experienced people.” Generally, it is difficult to produce a workforce with these interdisciplinary skills and to solve the problem of communication among educators, researchers, and people who use information technologies. Collaboration and communication between these groups are necessary. One problem is that companies, particularly SMEs with fewer resources need help to appreciate the competencies and skills gaps of their employees, methods to evaluate the existing situation as well as using training possibilities to reskill their employees.
The Interdisciplinary Cyber Training (InCyT) project would like to implement some solutions in this context. It has as a first objective the development of a framework, which provides a mechanism for VET and companies to describe the digital and other existing gaps in cyber security for professionals and non-professionals in order to avoid cyber-attacks and help them to improve their situation.
QSAR technique in the selection of biopromoting ratios of bacteria to create an innovative eco-fertilizer
Some bacteria, such as Bacillus subtilis or B.licheniformis, carry out biochemical reactions that improve soil quality and promote plant growth, including crops. The project involves obtaining a prototype of an innovative eco-fertilizer based on a consortium of PGPR bacteria of the genus Bacillus. Selection of the appropriate combination of strains enhancing synergistically the effect of secreted substances (on selected plants and some soil properties) will be carried out using the QSAR bioinformatic technique. In the short time allocated to the project, bioinformatic analyses of bacterial genomes for potentially growth-promoting substances are planned, followed by selection of a set of bacterial strains using bioinformatic tools. At the end of the project, biochemical and chemical analyses will be performed on selected products produced by the consortium and a biopreparation will be constructed, ready to be tested on an industrial scale.
Principal Investigator: Michał Piętal, PhD
A system for collecting and analyzing data to support the assessment of the effectiveness of cosmetic treatments in spa therapy
As part of the project, a data collection and analysis system will be developed to support the evaluation of the effectiveness of medical cosmetic treatments in spa therapy. Many official Polish reports indicate the insufficient use of the health resorts and the situations of mutual blocking by patients from using a wide range of available spa services. This leads to a decrease in the financial efficiency of the spa treatment system. In order to be able to do any actions changing this state, first of all, it is necessary to build IT systems for collecting data that concern patients using spas, the scope of treatments and solutions offered by spas that affect therapies and cures. This applies both to the stationary spa treatments and additionally through the use of spa medical cosmetics. Many years of practice in the operation of various spas, supported by their statistics, surveys, opinions of patients and good practices, indicate that medicinal cosmetics can extend the period after which further stationary treatments are needed. The IT system proposed in the project will consist of a computer application, a server for data collection and a database to which, on the basis of a specialized survey prepared by medical doctors and physiotherapists, it will be possible to successively enter data by patients and doctors. The system will perform preliminary statistical analyzes and will present and prepare the data so that they can be further analyzed in order to obtain hidden rules and potential recommendations.
This type of comprehensive IT solution may contribute to: a significant improvement in the efficiency of the health resort's operation, obtaining numerical data confirming the effectiveness of additional treatments based on cosmetics, advertising services and acquiring regular customers, advertising the cosmetics offered as effectively supporting on-site treatments. On the basis of this system, it will also be possible to apply similar solutions, e.g. in private spas that can offer their clients various types of stationary therapies along with similar complementary treatments based on various therapeutic cosmetics.
Principal Investigator, PhD. Dominik Strzałka
Oxford Nanopore technology: optimization of enzymes and analysis of genomic data for commercial applications
The goal of the project is to achieve a form that allows potential commercialization of basic and industrial research on 4th generation sequencing technology - Oxford Nanopore at PRz. This technology is an innovative solution in the field of protein analysis and their mutation having many practical applications in the area of: rapid identification of pathogens, virus monitoring, analysis of the state of the environment, monitoring of the state of food, analysis of antibiotic resistance, genetic mutation testing leading to cancer. Particularly useful is the MinION solution that allows protein sequencing through a mobile USB device. The project provides for basic research based on a series of experiments on the industrial optimization of enzymes produced by Bacillus bacteria (proteases, amylases, lipases, chitinases, pectinases, as well as compounds with bactericidal and antifungal activity). In the field of Oxford Nanopore technology, cooperation with CeNT UW will be carried out. During the implementation of the project, experimental data will be collected and they will serve as motivation to finalize the bioinformatic server, which will automatically process data from the MinION sequencer, eliminating the need for bioinformatic skills by the person performing the sequencing (e.g. biologist). The progress of server development is possible thanks to the alpha version of the solution proposed by CeNT UW.
The project will combine three research areas: biotechnology (genetics), bioinformatics and computer engineering. The results of the work will be published in two articles (bioinformatics, biotechnology). Both areas of the project (i.e. new enzymes and server) may be commercialized in the future.
Principal Investigator, PhD. Dominik Strzałka
Remote control of the manufacturing process based on the Fused Filament Fabrication (FFF) method using ICT infrastructure taking into account distributed system architecture
The project is interdisciplinary and is associated with the creation of complex production environments, including research in the area of development and verification of mechanisms for integration and synchronization of individual tasks within the remote production process, taking into account the problems and threats to the distributed technological process in an environment with heterogeneous ownership structure.
Principal Investigator PhD. Marek Bolanowski
Regional Center of Excellence for Automation and Robotics, Computer and Electrical Engineering, Electronics and Telecommunications at Rzeszów University of Technology
The project is financed by the Ministry of Science and Higher Education (027/RID/2018/19).
The project refers to the following areas:
- the development of automation and robotization of additive technologies and cavity machining implemented on CNC centers (including HSM and HPC) used in industry companies of the region gathered around the Aviation Valley cluster by creating digital twins for selected processes;
- artificial intelligence (AI), Internet of Everything (IoE), machine learning (ML) and analysis of large data sets of quickly collected data (Big Data) in the idea of Industry 4.0 (I4.0) developed within the Aviation Valley cluster, which also covers companied in the automotive industry to develop intelligent, learning (evolving) systems for monitoring robotic and automated production processes;
- the design of solutions based on RFID technology with applications supporting the quality of life through intelligent Internet of Things (IoT) modules implemented as embedded textronic structures for the textile industry (smart textiles) and designing distributed power supply systems for electrical and electronic devices in the aspect of the requirements of the electromagnetic compatibility directive 2014/30/EC;
- the support for disabled and handicapped people through vision systems supporting communication and communication in sign language;
- the development of electromobility, including the efficiency and use of electric motors as components of critical vehicle drives in various systems (including on board aircraft) and the acquisition of energy and power supply through power electronics;
- the development of procedures for processing, measuring and analyzing signals and calibrating electronic tools, advanced DSP methods and artificial intelligence in measurements with potential applications in medical diagnostics (ECG, EMG, PPG, speech signal);
- the development of packages for programming control systems in accordance with the PL-EN 61131-3 standard, taking into account the approach enabling modern, object-oriented programming in ST, IL text and graphic FBD, LD, SFC;
- modeling of optoelectronic devices, their development and development of experimental research methods and tools enabling the analysis of noise limits.
Principal Investigator, PhD. Andrzej Paszkiewicz
University of Technology for Young Explorers, NCBiR nr POWR.03.01.00-IP.08-00-UMO/17 for projects in the "University of the Young Explorers" program regarding the development of the university's offer in the scope of the implementation of the third mission
The project is financed from the PO WER program. Rzeszów University of Technology received funding in the amount of 461 125.87 PLN. The project will be implemented by three faculties of the university: Electrotechnics and Computer Science, Mathematics and Applied Physics and Chemistry with the administrative support of the Technology Transfer Center. The aim of the project is to develop competences by popularizing science and stimulating the desire to learn and develop technical knowledge in an unconventional way among children and adolescents aged 12-15, primary and secondary school students from the Podkarpackie region. Two editions of the project have been planned, and the first classes will start as early as October 2018. The next edition will start at the beginning of the academic year 2019/2020. At the University of Technology for Young Explorers, 402 pupils and students will be able to 'study', who will have one of three faculties to choose from: a school of young IT specialists, a school of young physicists and mathematicians, and a school of young chemists.
Principal Investigator: PhD. Eng. Paweł Dymora
From theory to practice - internships at the Faculty of Electrical and Computer Engineering, POWR.03.01.00-00-S055/17-00
The project has been developed and obtained (co-financing 2.68 million) as part of the PO Knowledge Education Development competition. The aim of the project is to increase the chances on the labor market by acquiring and developing key competences corresponding to the needs of the economy by 244 students of the Faculty of Electrical Engineering and Computer (WEiI) in the period from March 2018 to November 2019. This goal will be achieved by gaining practical experience gained during three-month (national) internships in well-developed enterprises of the region and the country. High quality internships will enable students to gain practical work experience and will also contribute to the qualifications required by future employers. As a result of cooperation between the academic and business community, the positive image of the University of Technology will be promoted as a place for training modern staff. The objective of the project is part of the specific objective no. 1 of PO WER: "Increasing the competences of people participating in education at a higher level, corresponding to economic needs, labor market and society". The internship program will ensure optimal preparation of WEiI students to the needs of the labor market, will affect the development of professional and interpersonal competences.
Implementation period: 01/03/2018 - 30/11/2019. Details of the project can be found at: https://power.prz.edu.pl/ps/index.php?w=weii
Principal Investigator: PhD. Eng. Mirosław Mazurek
Electronics for the automotive industry, POWR.03.01.00-IP.08-00-MOT/17
The project developed and obtained (co-financing 2.1 million) as part of the competition PO Knowledge Education Development for the automotive industry with the participation of employees from Bury Technologies Sp. z o. o. Mielec in the field of education of 40 faculty students of electronics and telecommunications (Master degree studies) for the needs of the development of Bury Technologies Mielec and automotive companies operating in the Podkarpacie region. The project includes: an internship program, a training program, study visits, dedicated student projects implemented for the company. Implementation period: 01/01/2018 - 31/10/2019. Details of the project can be found at: automotive.prz.edu.pl
Principal Investigator: PhD. Eng. Dominik Strzałka
Invest in yourself, UDA-POKL 04.01.02-00-098/12
Project acquired as part of the Human Capital Operational Program co-financed from the European Social Fund; Priority IV: Higher Education and Science, Activity: Strengthening and developing the teaching potential of universities and increasing the number of graduates of faculties of key importance for a knowledge-based economy. Sub-measure: increasing the number of graduates of faculties of key importance for a knowledge-based economy. The project implemented in the period 01.06.2012 - 31/12/2015 for a total of PLN 6 256 631,52 within the so-called ordered fields including: IT, power engineering, automation and robotics.
Details of the project can be found at: kierunki.prz.edu.pl
Principal Investigator: PhD. Eng. Mirosław Mazurek
Become a Good Bachelor of Engineering, UDA-POKL 04.01.02-00-187/11
Project acquired as part of the Human Capital Operational Program co-financed from the European Social Fund; Priority IV: Higher Education and Science, Activity: Strengthening and developing the teaching potential of universities and increasing the number of graduates of faculties of key importance for a knowledge-based economy. Sub-measure: increasing the number of graduates of faculties of key importance for a knowledge-based economy. The project implemented in the period from 01.06.2011 - 31/05/2015 for a total of PLN 4,964,806.80 as part of the so-called ordered fields including: IT, power engineering, automation and robotics. Details of the project can be found at: kierunki.prz.edu.pl
The project was awarded by the National Center for Research and Development.
Principal Investigator: PhD. Eng. Dominik Strzałka
Increasing the number of graduates in the fields of computer science and mathematics, UDA-POKL.04.01.02-00-056/09
Project acquired as part of the Human Capital Operational Program co-financed from the European Social Fund; Priority IV: Higher Education and Science, Activity: Strengthening and developing the teaching potential of universities and increasing the number of graduates of faculties of key importance for a knowledge-based economy. Sub-measure: increasing the number of graduates of faculties of key importance for a knowledge-based economy. The project implemented in the period from 01.05.2009 - 30/09/2014 for a total amount of PLN 4 315 523,00 as part of the so-called ordered fields including: computer science and mathematics. Details of the project can be found at: kierunki.prz.edu.pl
Principal Investigator: PhD. Eng. Dominik Strzałka, PhD. Eng. Mirosław Mazurek