Dr. Joanna Małgorzata Rut
Opole University of Technology, Opole, Opolskie, Poland
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
AGArkadiusz Gardecki
Arkadiusz GardeckiJoanna Małgorzata RutBKBartlomiej Klin
Bartlomiej Klin
Michal PodporaRBRyszard Beniak
Ryszard BeniakThe article presents a novel idea of Interaction Quality Sensor (IQS), introduced in the complete solution of Hybrid INTelligence (HINT) architecture for intelligent control systems. The proposed system is designed to use and prioritize multiple information channels (speech, images, videos) in order to optimize the information flow efficiency of interaction in HMI systems. The proposed architecture is implemented and validated in a real-world application of training unskilled workers—new employees (with lower competencies and/or a language barrier). With the help of the HINT system, the man–machine communication information channels are deliberately chosen based on IQS readouts to enable an untrained, inexperienced, foreign employee candidate to become a good worker, while not requiring the presence of either an interpreter or an expert during training. The proposed implementation is in line with the labor market trend, which displays significant fluctuations. The HINT system is designed to activate human resources and support organizations/enterprises in the effective assimilation of employees to the tasks performed on the production assembly line. The market need of solving this noticeable problem was caused by a large migration of employees within (and between) enterprises. The research results presented in the work show significant benefits of the methods used, while supporting multilingualism and optimizing the preselection of information channels.
Journal Article
ADAnna Beata Duczkowska
Anna Beata Duczkowska
Ewa Maria KulińskaZPZbigniew Plutecki
Zbigniew PluteckiJoanna Małgorzata RutThe importance of biomass for energy production is included in the government program “Energy Policy of Poland until 2040”. Biomass is one of the most stable renewable energy sources (RES), and its resources are the largest of all alternative energy sources. The paper presents and discusses the most important conditions that are related to the possible usage of the biomass that is obtained from agriculture for heating purposes. The aim of the study is to assess the energy potential of a selected agro-biomass and to indicate its effective use for the production of district heat. The research uses: in-depth statistical data analysis (data were obtained from the Central Statistical Office and the Agency for Restructuring and Modernization of Agriculture), inference methods, short- and long-term forecasting, the minimum spanning tree (MST) algorithm, and methods of single- and multi-criteria optimization for the selection of the most advantageous variant. The research covers three different scenarios: optimistic, moderate, and pessimistic. The results of the study present: technical and energy potential of biomass, taking into account its type, energy properties, and places of its collection; optimum location of intermediate storage and processing sites; and the optimum storage frequency of its transport to energy companies.
Journal Article
PAPawel Antonowicz
Pawel AntonowiczMichal PodporaJoanna Małgorzata RutThis paper proposes a concept of Digital Stereotypes, observed during research on quantitative overrepresentation of one class over others, and its impact on the results of the training of Deep Learning models. The real-life observed data classes are rarely of the same size, and the intuition of presenting multiple examples of one class and then showing a few counterexamples may be very misleading in multimodal classification. Deep Learning models, when taught with overrepresentation, may produce incorrect inferring results, similar to stereotypes. The generic idea of stereotypes seems to be helpful for categorisation from the training point of view, but it has a negative influence on the inferring result. Authors evaluate a large dataset in various scenarios: overrepresentation of one or two classes, underrepresentation of some classes, and same-size (trimmed) classes. The presented research can be applied to any multiclassification applications, but it may be especially important in AI, where the classification, uncertainty and building new knowledge overlap. This paper presents specific ’decreases in accuracy’ observed within multiclassification of unleveled datasets. The ’decreases in accuracy’, named by the authors ’stereotypes’, can also bring an inspiring insight into other fields and applications, not only multimodal sentiment analysis.
21 June 2023 in IEEE Robotics and Automation Letters
Journal Article
BKBartlomiej Klin
Bartlomiej KlinMichal PodporaRBRyszard Beniak
Ryszard BeniakAGArkadiusz Gardecki
Arkadiusz GardeckiJoanna Małgorzata RutThe ongoing industrial revolution involves an increasing need for human-machine communication in all areas of everyday life. Efficient and flawless human-machine communication becomes a large challenge in crowded environments.The communication scheme used in present robotic and humanoid systems usually does not assume simultaneous interaction with multiple interlocutors (e.g. robot and two talking persons) as well as the associated mechanisms for distinguishing between speakers, which is being simplified to non-overlapping, sequential exchange of questions and answers between two interlocutors. This article presents a novel framework outlines to improve human-machine communication in the humanoid robot area. Concepts of acoustic-visual beamforming are already known, the implementation of which is an acoustic camera. However, according to the authors, combining acoustic and visual perception requires significant changes in the approach to the design of robotic systems in order to be able to take full advantage of the multi-talker capability. The perception of an interlocutor is more natural when a human is able to perceive multi-channel information. This provides the acoustic-visual sensors to be able to support beamforming of audio signal and assign these signals to every interlocutor in the engagement zone of a humanoid robot. This can be useful in a time regime adequate for a conversation.
1 January 2018 in Logistics and Transport
Journal Article
Joanna Małgorzata RutEwa Maria KulińskaContemporary variability of the environment and market dynamics force enterprises to optimize operations in the supply chain. Advanced IT systems such as the Advanced Planning System are a powerful tool that supports many areas in supply chain management. An efficient supply chain is a key element in gaining a competitive advantage in the market. Therefore, the foundation of the material and information flow regulation in manufacturing enterprises is the efficient exchange of information with both the internal and external environment of the organization. The article presents the optimization process of complex operations taking place in the supply chain by implementing the Advanced Planning System in the examined enterprise. It also enumerates significant benefits resulting from the implementation.
Journal Article
Joanna Małgorzata RutWDWiktoria Dziki
Wiktoria DzikiRBRyszard Beniak
Ryszard BeniakMichal PodporaAGArkadiusz Gardecki
Arkadiusz GardeckiBKBartlomiej Klin
Bartlomiej KlinModern cities face the challenge of reconciling dynamic development with environmental protection, as well as ensuring a high quality of life for their residents. In a time of continuous urbanization, with more than half of the world’s population living in cities, city logistics plays a crucial role in managing complex urban environments. As part of the concept of sustainable development, city logistics aims to minimize the negative impact of transport on the environment, while increasing operational efficiency and improving the comfort of life of residents in urban agglomerations. This article presents the results of a comparative analysis of the intensity of sustainable urban logistics development in selected cities of the European Union. It examines various strategies that reduce emissions, improve air quality, and increase building energy efficiency. The analysis demonstrates that cities investing in sustainable urban logistics not only improve their environmental performance but also increase their attractiveness and competitiveness as desirable places to live and work.
About Me
She graduated master’s and engineering studies as well as doctoral studies at the Faculty of Mechanical Engineering of the Opole University of Technology in Opole, Poland. In 2011, she obtained a doctorate in technical sciences in the discipline of construction and operation of machines. Her main research interests include aspects of management and quality, innovation and implementation processes in industry, IoT, Industry 4.0, Industry 5.0, machine construction and operation, HMI, robotic systems, vision systems, smart infrastructure, cybersecurity and diagnostic processes. She is the author and coauthor of over 200 scientific publications, and participated in many scientific and research works completed with implementation in the industry. She gained scientific and practical experience related to the industry by cooperating with enterprises and during the implementation of many scientific internships. In 2011, she received the 3rd degree award of the Rector of the Opole University of Technology for organizational and administrative work. In 2013, she received the 2nd degree award of the Rector of the Opole University of Technology for outstanding scientific achievements. She received the Rector's pro-quality award from the Opole University of Technology for her scientific publications in 2019-2025. In 2025, she was honored with the Rector of the Opole University of Technology Award for outstanding commitment, professional achievements and active organizational work.