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Rheological characteristics of oligomeric semiproducts gained via chemical degradation of polyurethane foam using crude glycerin in the presence of different catalysts
PublicationPolyurethane (PU) recycling is a topic of growing interest due to the increasing amount of polyurethane waste. The main purpose of polyurethane chemical recycling is to recover the starting polyol. In this study, a method of polyurethane thermochemical recycling, glycerolysis by means of crude glycerin, is proposed. This work presents a comparative study of commercial catalysts used in order to accelerate the decomposition process,...
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Processes of enhancing the intelligence of Learning Organizations on the basis of Competence Centers
PublicationThe process of organizational learning and proper knowledge management became today one of the major challenges for the organization acting in the knowledge-based economy. According to the observations of the authors of this paper the demand for formalization of knowledge management processes and organizational learning is particularly evident in research institutions, established either by the universities, or the companies. The...
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Basics of Deep Learning 24/25
e-Learning Courses -
Zapewnienie interoperacyjności usług informacyjnych podstawą rozwoju e-uczelni
PublicationPodano definicję e-uczelni oraz charakterystyczne cechy tego typu uczelni. Określono możliwe modele funkcjonalne wraz z podstawowymi zadaniami wykonywanymi w środowisku uczelnianym. Podkreślono istotną rolę usług informacyjnych zorientowanych na potrzeby uczelni. Dodatkowo zaprezentowano różne metody integracji takich usług oraz ich wykorzystania przy realizacji różnych scenariuszy wykonania zadań uczelnianych. Zaproponowano opis...
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Determinanty rozwoju przedsiębiorstwa skoncentrowanego na e-biznes
PublicationW artykule przedstawiono istotne czynniki wpływające na rozwój przedsiębiorstwa skoncentrowanego na funkcjonowanie w e-biznesie. Dokonano przeglądu współczesnych systemów informatycznych wspomagających procesy zarządzania. Szczególną uwagę zwrócono na systemy zarządzania relacjami z klientami i systemy planowania zasobów w przedsiębiorstwie. Opisano wpływ systemów handlu elektronicznego na konkurencyjność przedsiębiorstw.
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Journal of Developmental and Life-Course Criminology
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Machine learning applied to bi-heterocyclic drugs recognition
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Designing acoustic scattering elements using machine learning methods
PublicationIn the process of the design and correction of room acoustic properties, it is often necessary to select the appropriate type of acoustic treatment devices and make decisions regarding their size, geometry, and location of the devices inside the room under the treatment process. The goal of this doctoral dissertation is to develop and validate a mathematical model that allows predicting the effects of the application of the scattering...
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Learning
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e-Technologie w Kształceniu Inżynierów, czyli MOOC tegorocznej konferencji
PublicationDnia 30 kwietnia 2015 r. odbyła się na Politechnice Gdańskiej II Konferencja „e-Technologie w Kształceniu Inżynierów” („e-Technologies in Engineering Education”). Konferencja miała na celu popularyzację najnowszych technologii w edukacji oraz pokazanie dobrych praktyk w tym zakresie. W czasie tegorocznej edycji, podobnie jak poprzedniej, przedstawiano przykłady wykorzystania najnowszych technologii w kształceniu na kierunkach...
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Implementing knowledge-based virtual organisations for the e-Decisional community
PublicationW pracy przedstawiono koncepcyjne zasady funkcjonowania formy spolecznej zwanej e-Decisional Community oraz omowiono mozliwosci zastosowania w takiej formie zasad opartych na wiedzy organizacji wirtualnych.
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Assessing the attractiveness of human face based on machine learning
PublicationThe attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing...
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E-Voting System Evaluation Based on the Council of Europe Recommendations: nVotes
PublicationE-voting implantation has been facing important challenges in recent years. Several incidents, together with a lack of evaluation methodologies social and cultural customs hinder a broader application. In this work, the authors aim to contribute to a safer introduction of e-voting tools by applying a practical evaluation framework strongly based on the security requirements issued by the Council of Europe (CoE) in 2017 to nvotes,...
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Evaluation of ChatGPT Applicability to Learning Quantum Physics
PublicationChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...
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Informal Workplace Learning and Employee Development. Growing in the Organizational New Normal
PublicationThe new paradigm in employee development assumes that employees should proactively direct their learning and growth. Most workplace learning is basically informal and occurs through daily work routines, peer-to-peer interactions, networking, and typically brings about significant positive outcomes to both individuals and organizations. Yet, workplace learning always occurs in a pre-defined context and this context has recently...
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Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits
PublicationThe Contextual Multi-Armed Bandits (CMAB) framework is pivotal for learning to make decisions. However, due to challenges in deploying online algorithms, there is a shift towards offline policy learning, which relies on pre-existing datasets. This study examines the relationship between the quality of these datasets and the performance of offline policy learning algorithms, specifically, Neural Greedy and NeuraLCB. Our results...
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Experimental and Numerical Study on Mechanical Characteristics of Aluminum/Glass Fiber Composite Laminates
PublicationThe fiber-metal composites made of aluminum sheets and glass fibers reinforced with a polyester resin as the matrix were studied. The composites were prepared by hand lay-up method. Some aspects of manufacturing affecting the composite behavior were considered. In particular, the influences of the arrangement of layers and their number on the mechanical and physical properties of composites with ten different compositions were...
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Early Stages of RNA-Mediated Conversion of Human Prions
PublicationPrion diseases are characterized by the conversion of prion proteins from a PrPC fold into a disease-causing PrPSC form that is self-replicating. A possible agent to trigger this conversion is polyadenosine RNA, but both mechanism and pathways of the conversion are poorly understood. Using coarse-grained molecular dynamic simulations we study the time evolution of PrPC over 600 μs. We find that both the D178N mutation and interacting...
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Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines
PublicationThe acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases...
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E-experiments in physics. Proper business process management, collaborative development process and project management guidance – remedy for avoiding the main IT project’s failure
PublicationOnly a few of learning aids and simulations of physical phenomena allow for building interactive experiments; experiments similar to those that should be conducted in physics laboratories at schools. Group of staff from Gdansk University of Technology decided to fill this market niche by designing and constructing a set of virtual experiments – so called e-experiments. To avoid common problems that a lot of IT products brought...
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Data augmentation for improving deep learning in image classification problem
PublicationThese days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublicationThis study presents an advanced algorithm for selecting machine learning (ML) models for nitrous oxide (N2O) emission prediction in wastewater treatment plants (WWTPs) employing the activated sludge process. The examined ML models comprised multivariate adaptive regression spline (MARS), support vector machines (SVM), and extreme gradient boosting (XGboost). The study explores the concept that involves new criteria to select the...
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Integracja funkcji z formą w przestrzeni e-Uczelni
PublicationObecnie kampus uczelni wyższej traktowany jest jako globalny ośrodek wytwarzania i wymiany wiedzy. W artykule wskazano kierunek przemian środowisk akademickich, który dotyczyć ma nie tylko samego procesu informatyzacji na szczeblu organizacyjno-informacyjnym, lecz także sposobu traktowania struktury architektonicznej kampusu z wyodrębnieniem węzłów funkcjonalnych. Wyraża się to poprzez udział nowych technologii w kształtowaniu...
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APPLICATION OF SATELLITE IMAGERY AND GIS TOOLS FOR LAND SURFACE TEMPERATURE ESTIMATION AND VERIFICATION
PublicationLand surface temperature (LST) plays an important role in many land-surface processes on regional as well on global scales. It is also a good indicator of energy flux phenomena and is used as a parameter in various Earth observation related studies. However, LST estimation based on processing and utilisation of satellite derived data constitutes several problems in terms of time limitations, accessibility, atmospheric influence...
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Analytical method for calculation of heat source temperature drop for the Organic Rankine Cycle application
PublicationIn the paper presented are considerations on the cooperation of the limited capacity heat source with the Organic Rankine Cycle unit. Usually the heat source providing thermal energy to the Organic Rankine Cycle (ORC) may have twofold characteristics. It can be in the form of a single phase fluid, i.e. as hot exhaust gas or hot liquid, or in some cases it may be available as a phase changing fluid, as for example, technological...
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Synthesis and steroid sulfatase inhibitory activities of N-alkanoyl tyramine phosphates and thiophosphates
PublicationA series of phosphate and thiophosphate analogs based on the frameworks of N-alkanoyl tyramines have been synthesized and biologically evaluated. Their binding modes have been modeled using docking techniques. The inhibitory effects of the synthesized compounds were tested on STS isolated from the human placenta as well as the MCF-7, MDA-MB-231 and SkBr3 cancer cell lines. Most of the new STS inhibitors possessed potent activity...
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Employment Specialization in the Enlarged European Union
PublicationThis paper presents the evolution of absolute employment specialization along the course of economic growth of 25 EU countries. We focus on the degree to which EU economies concentrate labor force in a few sectors/industries. Using disaggregated statistics classified according to NACE Rev. 1 division (71 sectors) we calculate various synthetic indices measuring the degree of diversification typical for the employment structures...
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Basic sensitivity analysis of a telecommunication tower complementing standard reinforcement design process
PublicationThis paper presents straightforward sensitivity assessment of a telecommunication tower. The analysis is set toidentify the elements of the tower which may be reinforced with the greatest structural advantage. As current expertopin ions on structural redesign of similar structures due to a planned addition of extra loads are mainly based ondeterministic computations or engineering intuition,...
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Antimicrobal and ostheointegration activity of bone cement contains nanometals
PublicationPurpose: One of the major problems in bone surgery are infections – especially thoseoccurring in the course of the operating on the patients with lowered immunity system,because they carry the danger of complications. In the Mechanical Department of TechnicalUniversity of Gdansk, there has been carried the research with the use of bone cement andmetal nanoparticles.Design/methodology/approach: The bone cement was used without supplement...
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Behaviometrics of Digital Games for Children with Autism Spectrum Disorder
PublicationTe paper reports current stage of the project Automated Terapy Monitoring for Children with Developmental Disorders of Autism Spectrum (AUTMON), that aims at development of methods and tools to allow for the automatic evaluation of the therapy progress among children with autism. Finding objective measures suitable for evaluating therapy progress would let create a system supporting those who diagnose autism and the therapists...
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WSPÓŁCZESNE OCHŁODZENIE REJONU SZETLANDÓW POŁUDNIOWYCH I PÓŁNOCO-ZACHODNICH KRAŃCÓW PÓŁWYSPU ANTARKTYCZNEGO
PublicationThe paper discusses changes of hydro-climatic conditions occurring in the South Shetland Islands and in NW parts of the Antarctic Peninsula in the 1979–2016 years period. These changes are important for evaluation of the transformation of marine and coastal ecosystems. The general feature of these changes was a transition from the strong warming phase to the cooling phase, which took place around the year 2000. The paper presents...
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Determination of the tram track axis using a multi receiver GNSS measurement system
PublicationThis article refers to research, that has been conducted by an interdisciplinary research team from the Gdańsk University of Technology and the Maritime University in Gdynia since 2009. These investigation concerns the determination of a railway track axis using the mobile satellite measurement technique. Following the dynamic development of GNSS techniques, that could be seen in the last decade, the team carried out further experiments...
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Assessing historical church tower asymmetry using point cloud spatial expansion
PublicationChurch towers are key cultural heritage. In theory, towers are vertical, while facade elements are symmetrically positioned around the tower axis. However, during service of a structure, building and lifetime conditions cause deviations, with associated risks. Laser scanning point clouds can be used to assess the structural state but a universal approach was missing. The proposed algorithm first estimates the tower inclination,...
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From hobbies, straightforward analysis to serious research – the road to phd degree
PublicationThe illustration of the main articles goal is an example of author's academic career course, the aim of which is to obtain a doctoral degree in the field of geodesy and cartography. Today, the most important thing for the young scientist is the devotion to research in certain field of science, which is interested for the large community of scientists. From a psychological point of view, a unity of interest and experiments must...
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Explainable machine learning for diffraction patterns
PublicationSerial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respectively. Image classification methods from artificial intelligence, or more specifically convolutional neural networks (CNNs), classify...
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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublicationThis study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...
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Networks for the e-Society
PublicationSłowo wstępne numeru specjalnego czasopisma Telecommunication Systems Journal
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The E-Cohomological Conley Index, Cup-Lengths and the Arnold Conjecture on T 2n
PublicationWe show that the E-cohomological Conley index, that was introduced by the first author recently, has a natural module structure. This yields a new cup-length and a lower bound for the number of critical points of functionals on Hilbert spaces. When applied to the setting of the Arnold conjecture, this paves the way to a short proof on tori, where it was first shown by C. Conley and E. Zehnder in 1983.
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Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
PublicationWe present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...
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Dataset of non-isomorphic graphs being coloring types (K3-e,Km-e;n), 2<m<8, 1<n<R(K3-e,Km-e)
Open Research DataFor K3-e and Km-e graphs, the type coloring (K3-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K3-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K3-e,Km-e) is the smallest...
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3-[(E)-2-(5,7-dichloro-8-hydroxyquinolin-2-yl)vinyl]-4-hydroxyphenyl acetate
PublicationTytułowy związek otrzymano w reakcji 2,5 dihydroksybenzaldehydu z równomolową ilością 5,7-dichloro-2-metylochinolin-8-olu. Strukturę C19H13Cl2NO4 wyznaczono metodą rentgenowskiej analizy strukturalnej. Zawarte w komórce elementarnej cząsteczki posiadają konfiguracje E a długości wiązań C=C wynoszą w tym przypadku C10-C11 1.328(3) Å oraz C29-C30 1.330(3) Å. Cząsteczki otrzymanego związku stabilizowane są przez układ...
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Dataset of non-isomorphic graphs being coloring types (K5-e,Km-e;n), 2<m<5, 1<n<R(K5-e,Km-e)
Open Research DataFor K5-e and Km-e graphs, the type coloring (K5-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K5-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K5-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs being coloring types (K6-e,Km-e;n), 2<m<5, 1<n<R(K6-e,Km-e)
Open Research DataFor K6-e and Km-e graphs, the type coloring (K6-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K6-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed. The Ramsey number R(K6-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs being coloring types (K4-e,Km-e;n), 2<m<7, 1<n<R(K4-e,Km-e)
Open Research DataFor K4-e and Km-e graphs, the type coloring (K4-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K4-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K4-e,Km-e) is the smallest...
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The application of impedance measurements for the determination of the probability of the course of corrosion processes
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A concept of the mechatronics course based on an idea of multi-chair incorporation
PublicationPraca poświęcona jest jednemu ze sposobów poprawy jakości kształcenie w zakresie inżynierii mechanicznej, na przykładzie Wydziału Mechanicznego Politechniki Gdańskiej. Polega on na uruchomieniu oraz samodzielnym prowadzeniu nowego kierunku studiów Mechatronika. Koncepcja aktywności wielokatedralnej programu studiów jest obiecującym rozwiązaniem prowadzącym do wysokiego poziomu kształcenia
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Gaussian Mixture Decomposition of Time-Course DNA Microarray Data
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The effect of cigarette smoking on the clinical course of inflammatory bowel disease
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Information Technology in Mechatronics as example of multidisciplinary approach to mechatronics course
PublicationArtykuł poświęcony jest przedstawianiu koncepcji nauczania na nowym, multidyscyplinarnym kierunku studiów ''Mechatronika''. W szczególności zaprezentowane zostały przykłady rozwiązań dotyczące kursu przedmiotu Informatyka. Przyjęte rozwiązania mają na celu podniesienie jakości kształcenia inżynierów na Wydziale Mechanicznym Politechniki Gdańskiej.
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Optimisation and field assessment of poroelastic wearing course bond quality
PublicationCompared to typical asphalt mixtures, poroelastic mixtures are characterised by high porosity and high flexibility, which are desirable for traffic noise reduction. However, the same properties increase the risk of debonding from the lower layer, which is a significant source of premature damage. The study investigates which of the factors – tack coat agent, type and texture of the lower layer – have the greatest impact on interlayer...