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Gdańsk University of Technology

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Publications from the year 2024

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  • Game theory-based virtual machine migration for energy sustainability in cloud data centers
    • Francisco Javier Maldonado-Carrascosa
    • Sebastián García-Galán
    • Manuel Valverde-Ibáñez
    • Tomasz Marciniak
    • Małgorzata Szczerska
    • Nicolás Ruiz-Reyes
    2024 Full text APPLIED ENERGY

    As the demand for cloud computing services increases, optimizing resource allocation and energy consumption has become a key factor in achieving sustainability in cloud environments. This paper presents a novel approach to address these challenges through an optimized virtual machine (VM) migration strategy that employs a game-theoretic approach based on particle swarm optimization (PSO) (PSO-GTA). The proposed approach leverages the collaborative and competitive dynamics of Game Theory to minimize energy consumption while using renewable energy. In this context, the game is represented by the swarm, where each player, embodied by particles, carries both competitive and cooperative elements essential to shape the collective behavior of the swarm. PSO is integrated to refine migration decisions, improving global convergence and optimizing the allocation of VMs to hosts. Through extensive simulations and performance evaluations, the proposed approach demonstrates significant improvements in resource utilization and energy efficiency, promoting sustainability in cloud computing environments. This research contributes to the development of environmentally friendly cloud computing systems, thus ensuring the delivery of energy-efficient cloud computing. The results demonstrate that the proposed approach outperforms fuzzy and genetic methods in terms of renewable energy usage. The PSO-GTA algorithm consistently outperforms Q-Learning, Pittsburgh and KASIA across three simulation scenarios with varying cloudlet dynamics, showcasing its efficiency and adaptability, and yielding improvements ranging from 0.68% to 5.32% over baseline results in nine simulations.

  • "Gdańskie panoramy z różnych perspektyw’ w ramach cyklu ‘Dojrzały smak przygody’, edycja XX dla Centrum Informacji i Edukacji Ekologicznej, wycieczka edukacyjna
    • Agnieszka Kurkowska
    2024

    Wycieczka prowadziła trasą: Gdańsk Żółty Wiadukt, Grodzisko, Biskupia Górka, Bastion Żubr, Kamienna Śluza, Długi Targ - IKM. Celem była prezentacja widoków panoramicznych z wyjaśnieniem historii ukształtowania i ufortyfikowania miasta. Wskazano współczesne modyfikacje i zwrócono uwagę na zagrożenia w niedbałym planowaniu krajobrazu miasta.

  • Gelatin-chitosan interactions in edible films and coatings doped with plant extracts for biopreservation of fresh tuna fish products: A review
    • Don Hettiarachchige Udana Eranda
    • Manat Chaijan
    • Worawan Panpipat
    • Supatra Karnjanapratum
    • Miguel A. Cerqueira
    • Roberto Castro Munoz
    2024 INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

    The preservation of tuna fish products, which are extremely perishable seafood items, is a substantial challenge due to their instantaneous spoilage caused by microbial development and oxidative degradation. The current review explores the potential of employing chitosan-gelatin-based edible films and coatings, which are enriched with plant extracts, as a sustainable method to prolong the shelf life of tuna fish products. The article provides a comprehensive overview of the physicochemical properties of chitosan and gelatin, emphasizing the molecular interactions that underpin the formation and functionality of these biopolymer-based films and coatings. The synergistic effects of combining chitosan and gelatin are explored, particularly in terms of improving the mechanical strength, barrier properties, and bioactivity of the films. Furthermore, the application of botanical extracts, which include high levels of antioxidants and antibacterial compounds, is being investigated in terms of their capacity to augment the protective characteristics of the films. The study also emphasizes current advancements in utilizing these composite films and coatings for tuna fish products, with a specific focus on their effectiveness in preventing microbiological spoilage, decreasing lipid oxidation, and maintaining sensory qualities throughout storage. Moreover, the current investigation explores the molecular interactions associated with chitosan-gelatin packaging systems enriched with plant extracts, offering valuable insights for improving the design of edible films and coatings and suggesting future research directions to enhance their effectiveness in seafood preservation. Ultimately, the review underscores the potential of chitosan-gelatin-based films and coatings as a promising, eco-friendly alternative to conventional packaging methods, contributing to the sustainability of the seafood industry.

  • Gender as a Moderator of the Double Bias of Mistakes – Knowledge Culture and Knowledge Sharing Effects
    • Wioleta Kucharska
    • Aleksandra Kopytko
    2024 Full text

    There is no learning without mistakes. The essence of the double bias of mistakes is the contradiction between an often-declared positive attitude towards learning from mistakes, and negative experiences when mistakes occur. Financial and personal consequences, shame, and blame force desperate employees to hide their mistakes. These adverse outcomes are doubled in organizations by the common belief that managers never make mistakes, which makes the contradiction even more harmful. Double bias affected leaders select only easy tasks to secure their positions, and those who want to be promoted hide their mistakes to maintain the image of a “perfect employee.” Avoiding the risk of failure is generally not wrong as long as doing so does not block organizational growth. It has been proven that the double bias of mistakes can present a severe hurdle for organizational learning and collective intelligence building. This study explores whether the double bias of mistakes is gender-related and how it affects tacit and explicit knowledge sharing. To do so, it is based on a sample of 183 Polish knowledge workers affected by the double bias of mistakes. The analysis method was ordinary least squares regression, which was conducted with SPSS PROCESS software. Results show that the double bias of mistakes generally causes more problems for female specialists than male specialists and more for male managers than female managers. Regarding managers, male managers probably tend to focus more on control at work. In contrast, women focus on supporting learning (they accept mistakes as a source of knowledge and share knowledge gained from them). Considering current challenges relating to collective intelligence building, women seem to have the potential to be better mentors and, probably, better leaders than men. Such formulated conclusions are based on indirect inferences, so further research is necessary.

  • GENDER INEQUALITY IN THE LABOUR MARKET IN KAZAKHSTAN AND UZBEKISTAN
    • Krystyna Gomółka
    2024

    The aim of the following article is to present gender inequality in the labour market in Kazakhstan and Uzbekistan. Gender inequality was researched by analyzing documents providing rights for women and men in Kazakhstan and Uzbekistan. The author presented the unequal treatment of women in the labour market by examining the causes of the level of employment of women and men - contract workers, higher unemployment among women, and finally by the lower remuneration offered to women workers in both countries. The research was conducted on the basis of the analysis of statistical data available on the websites of the Kazakh and Uzbek statistical offices.

  • Generalized measurements on qubits in quantum randomness certification and expansion
    • Piotr Mironowicz
    • Marcus Gruenfeld
    • Mohamed Bourennane
    2024 Physical Review Applied

    Quantum mechanics has greatly impacted our understanding of microscopic nature. One of the key concepts of this theory is generalized measurements, which have proven useful in various quantum information processing tasks. However, despite their significance, they have not yet been shown empirically to provide an advantage in quantum randomness certification and expansion protocols. This investigation explores scenarios where generalized measurements can yield more than 1 bit of certified randomness with a single-qubit system measurement on untrusted devices and against a quantum adversary. We compare the robustness of several protocols to exhibit the advantage of exploiting generalized measurements. In our analysis of experimental data, we were able to obtain 1.21 bits of min-entropy from a measurement taken on one qubit of an entangled state. We also obtained 1.07 bits of min-entropy from an experiment with quantum state preparation and generalized measurement on a single qubit. We also provide finite data analysis for a protocol using generalized measurements and the Entropy Accumulation Theorem. Our exploration demonstrates the potential of generalized measurements to improve the certification of quantum sources of randomness and enhance the security of quantum cryptographic protocols and other areas of quantum information.

  • Genetic variations as predictors of dispositional and dyadic empathy - a couple study
    • Maria Kaźmierczak
    • Magda Rybicka
    • Paweł Syty
    2024 Full text Scientific Reports

    Biological drivers of empathy have been explored in an interdisciplinary manner for decades. Research that merges the psychological and genetic perspectives of empathy has recently gained interest, and more complex designs and analyses are needed. Empathy is a multidimensional construct that might be regarded both dispositionally (as a personality trait) and contextually (experienced and/or expressed in a particular relationship/situation). This study analyzed genetic variations associated with genes encoding oxytocin, arginine vasopressin, and receptors that regulate their secretion as predictors of the empathic dimensions of emotional (empathic concern and personal distress) and cognitive (perspective taking) dyadic factors of partners in heterosexual intimate relationships. Machine learning methods to capture both linear and nonlinear relationships between SNPs, RS1 and RS2 repeat polymorphisms and dimensions of empathy in couples were employed. A total of 442 individuals (221 couples) participated in this study. Empathy was measured by the Polish version of the Interpersonal Reactivity Index and the Interpersonal Reactivity Index for Couples. The MassARRAY® 4 instrument, which combines mass spectrometry with endpoint PCR, was used for genotyping all 14 genetic variations. Microsatellite fragment analysis was performed by denaturing polyacrylamide gel electrophoresis. The results confirmed the significance of certain genetic alterations linked to oxytocin, vasopressin, serotonin and estrogen for dispositional and dyadic empathy (mainly rs1884051, rs6311, RS1, rs4686302, and rs1042778) in couples. The effects were stronger for the prediction of emotional and dyadic empathy than for perspective taking. Separate analyses for women and men indicated different predictive effects of genes for empathy (for example, effects of rs53576 were indicated only in women), which are also experienced and expressed in couples. Different dimensions of empathy should be included when the genetic predictors of empathy are examined.

  • Geometric working volume of a satellite positive displacement machine
    • Paweł Śliwiński
    2024 Full text Scientific Reports

    This article describes a method for determining the geometric working volume of satellite positive displacement machines (pump and motor). The working mechanism of these machines is satellite mechanism consisting of two non-circular gears (rotor and curvature) and circular gears (satellites). Two variants of the satellite mechanism are presented. In the first mechanism, the rolling line of the rotor is a sinusoid "wrapped" around a circle. In the second mechanism, the rolling line of the rotor is a double sinusoid "wrapped" around a circle. A method for calculating the area of the working chamber as a function of the rotor rotation angle is presented, based on mathematical formulae of the rotor, the curvature and the satellite rolling lines. It has been shown that the second variant of the satellite mechanism is advantageously characterised by a larger difference between the maximum area of the working chamber and the minimum area of this chamber. New mathematical formulas have been proposed to calculate the area of the working chamber for any angle of rotation of the shaft (rotor) based on the maximum and minimum values of the area of this chamber. It was thus confirmed that the geometric working volume depends on the maximum and minimum area of a working chamber and on the height of the satellite mechanism. The analyses of the area of the working chamber were carried out both for the mechanism without gears (the area delimited by the rolling lines of the elements of the mechanism) and for the real mechanism with gears. Differences in the values of these fields were also detected.

  • Geotechnical Analysis and Stability Assessment of a Landslide Event in Gera Woreda, Ethiopia
    • Mulatu Tamiru
    • Worku Firomsa Kabeta
    • Damtew Tsige
    • Hashim Ware
    • Zeberga Tenaye
    2024 Full text Cogent Engineering

    This study investigates the geotechnical factors influencing a recent landslide event in Gera Woreda, Ethiopia. The primary objective was to identify the soil properties contributing to landslide occurrence and understand the triggering mechanisms. Field investigations, soil sampling from both affected and unaffected areas, and subsequent laboratory characterization were conducted. The analysis revealed a dominance of fine-grained soils, such as clay and silt, which are susceptible to weakening upon saturation, thereby increasing landslide susceptibility. Rainfall is identified as the primary trigger for the landslide. Numerical stability assessments using the Limit Equilibrium Method (software, SlideTM) and the Finite Element Method (software, PLAXISVR) were performed to assess the stability of the slopes. The stability analysis revealed a notable decrease in the factor of safety (FS) under rising groundwater levels. For example, the FS for Slope 1 decreased from 1.42 under dry conditions to 0.73 at a 2 m groundwater depth. Similarly, Slope 2’s FS decreased from 2.06 to 1.18 under similar conditions. These results emphasize that rainfall is the primary trigger for landslides in the area. To address this, the study proposes surface drainage systems and the planting of Vetiver grass to improve slope stability. These findings provide critical insights for developing proactive mitigation strategies to protect local communities and infrastructure from landslide hazards.

  • Glacial Landform Classification with Vision Transformer and Digital Elevation Model
    • Paweł Nadachowski
    • Zbigniew Łubniewski
    • Jarosław Tęgowski
    2024

    Classification of glacial landforms is a task in geomorphology that has not been widely explored with deep neural network methods. This study uses Vision Transformer (ViT) architecture to classify glacial landforms using Digital Elevation Model (DEM) in three study sites: Elise Glacier in Svalbard, Norway; Gardno-Leba Plain and Lubawa Upland in Poland. In datasets each of those sites has different DEM resolutions and terrain types which includes end moraines, hummocky moraines, kettle holes, outwash/glaciolacustrine plains, till plains and valleys. The results of the classification show that ViT architecture is a suitable method for this type of task and can achieve up to 97.5% of accuracy. The classification process described in this study can be reproducible and applied to other terrain types around the world.

  • Glaciers: The dynamic giants of cold regions
    • Jiajia Pan
    • Tomasz Kolerski
    2024 Hydrolink

    Glaciers, often described as nature’s formidable ice giants, are essential components of the Earth's cryosphere, with profound influence on the global water cycle, energy production, and landscape stability. These massive bodies of ice, formed over centuries from accumulated snow, are not just frozen relics of the past; they are dynamic systems that play a critical role in cold region environments. As the climate changes, understanding glaciers and their multifaceted roles becomes ever more crucial, particularly in the field of cold region engineering

  • Global Digital Technology Convergence: Driving Diffusion via Network Effects
    • Ewa Lechman
    • Adam Marszk
    2024

    Since the 1970s, we have witnessed unprecedented diffusion of digital technologies in both speed and geographic coverage. These technologies are pervasive and disruptive, and lead to profound shifts and transformations in societies and economies. Many claim that emerging network externalities are the principal phenomenon driving the process of technology diffusion and determining its in-time dynamics. This book analyses the unique role network effects play in the process of digital technology diffusion. Using the time span of 1980-2022 and data from over 180 countries, the authors examines the strength and determinates of emerging network externalities in the process of digital technology diffusion across the world. Moreover, using international case studies it traces the process of technology convergence and technology convergence club formation, intending to answer whether cross-country gaps are diminishing or rather growing, and if countries form unique “clubs” within which a rapid convergence occurs.

  • Global Miniaturization of Broadband Antennas by Prescreening and Machine Learning
    • Sławomir Kozieł
    • Anna Pietrenko-Dąbrowska
    • Ullah Ubaid
    2024 Full text Scientific Reports

    The development of contemporary electronic components, particularly antennas, places significant emphasis on miniaturization. This trend is driven by the emergence of technologies such as mobile communications, the internet of things, radio-frequency identification, and implantable devices. The need for small size is accompanied by heightened demands on electrical and field properties, posing a considerable challenge for antenna design. Shrinking physical dimensions can compromise performance, making miniaturization-oriented parametric optimization a complex and heavily constrained task. Additionally, the task is multimodal due to typical parameter redundancy resulting from various topological modifications in compact antennas. Identifying truly minimum-size designs requires a global search approach, as the popular nature-inspired algorithms face challenges related to computational efficiency and the need for reliable full-wave electromagnetic (EM) simulation to evaluate device’s characteristics. This study introduces an innovative machine learning procedure for cost-effective global optimization-based miniaturization of antennas. Our technique includes parameter space pre-screening and the iterative refinement of kriging surrogate models using the predicted merit function minimization as an infill criterion. Concurrently, the design task incorporates design constraints implicitly by means of penalty functions. The combination of these mechanisms demonstrates superiority over conventional techniques, including gradient search and electromagnetic-driven nature-inspired optimization. Numerical experiments conducted on four broadband antennas indicate that the proposed framework consistently yields competitive miniaturization rates across multiple algorithm runs at low costs, compared to the benchmark.

  • Global Roots and Poles Finding Algorithm on Quantum Computer
    • Jakub Buczkowski
    • Tomasz Koźmiński
    • Filip Szczepański
    • Michał Wiliński
    • Tomasz Stefański
    2024 Full text IEEE Access

    In this paper, the implementation of the global roots and poles finding algorithm for a complex-valued function of a complex variable on a quantum computer, which allows for solving general nonlinear algebraic equations, is presented. The considered function is sampled with the use of Delaunay’s triangulation on the complex plane and a phase quadrant, in which the value of the function is located, is computed on a classical computer for all of the sampling nodes. Then, if the real and imaginary parts of the function simultaneously change signs for both ends of the same edge in the mesh, then a zero of the function is located in the region around this edge. In order to detect such edges, the mesh is transformed into a one-dimensional array and the required edges, where the sign simultaneously changes for real and imaginary parts of the function, are found with the use of quantum Grover’s algorithm. If the mesh consists of P edges, the computational overhead of this operation, in terms of oracle queries, is equal to O (√ P ) on a quantum computer, instead of O ( P ) on a classical one. Finally, the existence of function zeros and poles is proved with the use of Cauchy’s argument principle on a classical computer, and the output results are computed, based on the mesh refinement, with the assumed numerical precision of computations. Our method is implemented in Python with the use of the Qiskit software development kit and its applicability is proved by quantum emulations.

  • Global value chains and inward FDI: An empirical investigation of European firms
    • Michele Imbruno
    • Rosanna Pittiglio
    • Filippo Reganati
    • Sabina Szymczak
    • Joanna Wolszczak-Derlacz
    2024 WORLD ECONOMY

    This paper empirically investigates whether and how the level of GVC integration of a given market may explain the presence of foreign-owned firms. Using firm-level data from 28 European Union countries during the period 2008–2014, we provide evidence that a greater country-sector-level GVC participation, via both backward and forward linkages, exerts a positive effect on a firm's likelihood to receive FDI. These findings appear particularly strong for new EU Member States and services industries when looking at the differences across countries and sectors. Interestingly, when exploring the role of country-sector position along the GVC, we find that FDI gains from backward GVC integration are more prominent if the markets are associated with the final stages of the supply chain, whereas those from forward GVC integration are greater when the markets are associated with the initial stages, in line with the smile curve hypothesis.

  • Global value chains, wages, employment and labour production in China: A regional approach
    • Yuxin Lu
    • Edgardo Sica
    • Joanna Wolszczak-Derlacz
    2024 Full text Structural Change and Economic Dynamics

    In this study we analyse the relationship of trade and global value chains (GVCs) to the labour market in 31 Chinese provinces for 25 sectors, by means of a system of structural equations. We firstly distinguish between provincial value chains (PVCs) and interprovincial value chains (PRVCs) in order to outline their distribution and evolution over time. Then, we investigate to what extent participation in GVCs, PVCs and PRVCs – along with trading in final goods and services – is associated with labour market outcomes, i.e., wages, employment and labour production. The results suggest that provinces/sectors with greater export penetration have higher employment and labour production, but lower wages. On the other hand, however, GVCs are found to impede growth in employment and labour production.

  • Globalized Parametric Optimization of Microwave Passive Components Using Simplex-Based Surrogates
    • Anna Pietrenko-Dąbrowska
    • Sławomir Kozieł
    2024 IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

    Optimization-based parameter adjustment involving full-wave electromagnetic (EM) simulation models is a crucial stage of present-day microwave design process. In fact, rigorous optimization is the only reliable mean permitting to simultaneously handle multiple geometry/material parameters, objectives, and constraints. Unfortunately, EM-driven design is a computationally intensive endeavor. While local tuning is usually manageable, direct global search is most often prohibitively costly. At the same time, global optimization is often required: design of compact microwave passives, multi-modal problems, circuit re-design across broad range of operating conditions, are a few examples. A popular mitigation method is to employ surrogate modeling approach. Still, constructing reliable models is impeded by the curse of dimensionality. This paper presents a novel algorithm for globalized design of microwave devices, which employs simplex-based regression models build at the level of operating parameters and performance figures of the circuit of interest. Computational efficiency of our technique stems from topological simplicity of the surrogate and its updating rules, as well as nearly-linear dependence between the circuit dimensions and its operational parameters. Furthermore, the updating rules of the regression model guarantee convergence of the optimization process. The global search capability of our technique is validated through repetitive optimization of three microstrip circuits. A perfect success rate is demonstrated along with a low (average) computational cost of just about eighty EM analyses of the circuit at hand. Numerical results are supported by experimental validation of selected designs.

  • Głębokie uczenie do korekcji fazy sygnałów GMSK w rzeczywistym środowisku wewnątrzbudynkowym
    • Alicja Olejniczak
    • Jarosław Sadowski
    2024 Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

    Niniejszy artykuł prezentuje zastosowanie modelu głębokiej sieci neuronowej do estymacji średniego odchylenia fazy sygnałów odebranych i jest elementem badań obejmujących szersze zagadnienie, jakim jest odbiór sygnałów GMSK wspomagany uczeniem maszynowym. Analiza pozwoliła potwierdzić wysoką skuteczność sieci neuronowej, a wyniki obejmowały kanały ETU i EPA oraz dane pomiarowe zebrane w rzeczywistym środowisku wewnątrz- budynkowym. Rozwiązanie porównano z klasycznymi metodami estymacji średniego odchylenia fazy.

  • Going all in or spreading your bet: a configurational perspective on open innovation interaction channels in production sectors
    • Marita McPhillips
    • Silke Tegtmeier
    • Tatjana Nikitina
    2024 Full text Production Engineering Archives

    Using different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual and combined effects of open innovation interaction channels. Our study aims to resolve these inconsistencies by using a configurational perspective, which allows for the identifi- cation of multiple successful pathways. Employing fuzzy-set Qualitative Comparative Analysis (fsQCA) to a dataset of European open innovation partnerships in production sectors, we uncover specific combinations of interaction channels that explain high levels of innovation outcomes. Subse- quently, we distinguish between two successful pathways. Notably, we observe that the relationship between interaction channels is causally complex, high engagement in open innovation may not guar- antee favorable innovation outcomes. This finding highlights the intricate causal dynamics at play. Thus, our study is a significant step toward reconciling the disparate perspectives in the literature concerning the impact of interaction channels on open innovation output.

  • Gordon Decomposition of the Magnetizability of a Dirac One-Electron Atom in an Arbitrary Discrete Energy State
    • Patrycja Stefańska
    2024 Atoms

    We present analytical derivation of formulas for diamagnetic and paramagnetic contributions to magnetizabilities of relativistic hydrogenlike atoms being in an arbitrary discrete energy eigenstate.