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Three-dimensional modeling and automatic analysis of the human nasal cavity and paranasal sinuses using the computational fluid dynamics method
PublikacjaPurpose The goal of this study was to develop a complete workflow allowing for conducting computational fluid dynam- ics (CFD) simulation of airflow through the upper airways based on computed tomography (CT) and cone-beam computed tomography (CBCT) studies of individual adult patients. Methods This study is based on CT images of 16 patients. Image processing and model generation of the human nasal cavity and paranasal sinuses...
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Computationally-Efficient Statistical Design and Yield Optimization of Resonator-Based Notch Filters Using Feature-Based Surrogates
PublikacjaModern microwave devices are designed to fulfill stringent requirements pertaining to electrical performance, which requires, among others, a meticulous tuning of their geometry parameters. When moving up in frequency, physical dimensions of passive microwave circuits become smaller, making the system performance increasingly susceptible to manufacturing tolerances. In particular, inherent inaccuracy of fabrication processes affect...
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Development and test of fex, a fingers extending exoskeleton for rehabilitation and regaining mobility
PublikacjaThis paper presents the design process of an exoskeleton for executing human fingers' extension movement for the rehabilitation procedures and as an active orthosis purposes, together with its first clinical usability tests of a robotic exoskeleton. Furthermore, the Fingers Extending eXoskeleton (FEX) is a serial, under-actuated mechanism capable of executing fingers' extension. FEX is based on the state-of-art FingerSpine serial...
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Creating new voices using normalizing flows
PublikacjaCreating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities. Firstly, we create an approach for TTS...
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Sposób prowadzenia treningu słuchowo-wzrokowego, zwłaszcza u osób z zaburzeniami lateralnymi
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Immersive Technologies that Aid Additive Manufacturing Processes in CBRN Defence Industry
PublikacjaTesting unique devices or their counterparts for CBRN (C-chemical, B-biological, R-radiological, N-nuclear) defense relies on additive manufacturing processes. Immersive technologies aid additive manufacturing. Their use not only helps understand the manufacturing processes, but also improves the design and quality of the products. This article aims to propose an approach to testing CBRN reconnaissance hand-held products developed...
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Tagged images with LEGO bricks part 2
Dane BadawczeThe data set conatins tagged images conatining LEGO bricks used for traning LEGO bricks detecting network. The images contain random number of the same LEGO bricks on white background. Only the whole bricks are labeled.
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Towards bees detection on images: study of different color models for neural networks
PublikacjaThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublikacjaDespite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...
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Paweł Rościszewski dr inż.
OsobyPaweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublikacjaIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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PROJEKTOWANIE STANOWISK LABORATORYJNYCH WSPIERAJĄCYCH PROCES SZKOLENIA PRAKTYCZNEGO KADR MORSKICH DZIAŁU MASZYNOWEGO W ŻEGLUDZE MIĘDZYNARODOWEJ, PRZYBRZEŻNEJ I KRAJOWEJ
PublikacjaWithin the article a design offer of the Department of Ship and Power Plants of the Faculty of Ocean Engineering And Ship Technology at the Gdansk University of Technology has been presented. The offer concerns designing laboratory stations which might stand for the equipment of a didactic base of maritime educational centers i.e. maritime (naval) academies and schools as well as maritime affairs' professional training centers,...
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Analysis of the macrostructure of the fuel spray atomized with marine engine injector
PublikacjaOne of the main problem influencing the combustion process in the cylinder of the marine engine is an fuel spray phenomena. The parameters describing the shape of the fuel spray are named macro parameters. This article presents the research results of the macrostructure parameters of the fuel spray atomized with the marine engine injector. The research were carried out by optical visualization measurement method of Mie scattering....
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Computer-assisted assessment of learning outcomes in the laboratory of metrology
PublikacjaIn the paper, didactic experience with broad and rapid continuous assessment of students’ knowledge, skills and competencies in the Laboratory of Metrology, which is an example of utilisation of assessment for learning, is presented. A learning management system was designed for manage, tracking, reporting of learning program and assessing learning outcomes. It has ability to provide with immediate feedback, which is used by the...
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Exploring Stock Traders’ Cognitive Biases: Research Design and Simulator Framework
PublikacjaCognitive bias is a phenomenon that has been extensively studied in stock trading and many other fields. This paper presents a framework for a Mobile Stock Trading Simulator (MSTS) that facilitates automatic investment in stocks with minimal human influence, by investigating the behavioral patterns and cognitive errors of stock market investors. The paper aims to determine whether investors’ investment strategies can be improved...
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OCENA PRZYDATNOŚCI WIELOWYMIAROWYCH MODELI DYSKRYMINACYJNYCH DO PROGNOZOWANIA UPADŁOŚCI PRZEDSIĘBIORSTW HANDLOWYCH
PublikacjaCelem badań była ocena przydatności użycia modeli opartych na wielowymiarowej analizie dyskryminacyjnej do prognozowania upadłości polskich przedsiębiorstw handlowych oraz próba zwiększenia ich sprawności poprzez zmianę wartości ich punktów granicznych. Badaniu poddano modele: E. I. Altmana „B”, D. Hadasik, A. Hołdy oraz M. Hamrola, B. Czajki i M. Piechockiego. Do oceny modeli wykorzystano iloraz szans oraz macierz klasyfikacji...
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Zastosowanie metody studium przypadku w kształceniu menedżerów
PublikacjaKształcenie z wykorzystaniem metod rozwiązywania problemów (problem-based learning) staje się coraz bardziej popularne na wszystkich poziomach kształcenia, również w edukacji biznesowej. Przykładem takiej metody jest studium przypadku (case study). Metoda studium przypadku pozwala na rozwijanie umiejętności i kompetencji wykorzystywanych przez menedżerów w ich pracy, np. umiejętności syntezy, identyfikacji problemów, czy podejmowania...
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Self-Optimizing Adaptive Vibration Controller
PublikacjaThis paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that the frequency of the sinusoidal disturbance is known, and that the output signal is contaminated with wideband measurement noise. The proposed controller, called SONIC (self-optimizing narrowband interference canceller), combines the coefficient fixing technique,...
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Projekt i Praktyka Lotu (2023/2024)
Kursy OnlinePrzedmiot praktyczny - realizacja zadań z zakresu treningu pilotażu BSP oraz zadań fotogrametrycznych BSP
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Kamila Kokot-Kanikuła mgr
OsobyKamila Kokot-Kanikuła pracuje w Bibliotece Politechniki Gdańskiej w Sekcji Budowy Zbiorów Cyfrowych i Multimedialnych na stanowisku starszego bibliotekarza. Jest absolwentką Instytutu Historycznego oraz Informacji Naukowej i Bibliotekoznawstwa na Uniwersytecie Wrocławskim. Główne kierunki zainteresowań to starodruki, biblioteki cyfrowe, repozytoria instytucjonalne, Otwarte Zasoby Edukacyjne, Open Access i Open Data. W bibliotece...
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Modelling long-term technological transition of Polish power system using MARKAL: Emission trade impact
PublikacjaThe need for technological transition of electricity production becomes a global problem. However, in coal-dominated Polish power system this need is even more crucial than anywhere, since technical lifetime of the most domestic power plants is ending. In this paper, the impact of the EU Emission Trading Scheme (EU ETS) for CO2 combined with sulfur dioxide (SO2) and nitrogen oxides (NOx) emission trading mechanism on power technology...
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Measurement file of PEEK 70 mm bushing measurements in original condition perforemed on custom-built 3d measuring stand
Dane BadawczeAfter manufacturing process (lathe turning) bearing was measured on custom bulit measurement stan developed during research project financed by National Centre of Science. Measurements consist of 110 000 points in 3D space taken on bushing inner surface. Bearing was measured taking vertical steps of 0,2 mm.
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Combining visual and acoustic modalities to ease speech recognition by hearing impaired people
PublikacjaArtykuł prezentuje system, którego celem działania jest ułatwienie procesu treningu poprawnej wymowy dla osób z poważnymi wadami słuchu. W analizie mowy wykorzystane zostały parametry akutyczne i wizualne. Do wyznaczenia parametrów wizualnych na podstawie kształtu i ruchu ust zostały wykorzystane modele Active Shape Models. Parametry akustyczne bazują na współczynnikach melcepstralnych. Do klasyfikacji wypowiadanych głosek została...
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Justyna Signerska-Rynkowska dr inż.
OsobySince 2021 visiting assistant professor in Dioscuri Centre in Topological Data Analysis (Institute of Mathematics of the Polish Academy of Sciences, IMPAN) Since 2016 assistant professor at Gdańsk University of Technology, Faculty of Applied Physics and Mathematics, Department of Differential Equations and Mathematics Applications 2020 - 2023 Principal Investigator in "SONATA" grant “Challenges of low-dimensional...
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Assessment of Therapeutic Progress After Acquired Brain Injury Employing Electroencephalography and Autoencoder Neural Networks
PublikacjaA method developed for parametrization of EEG signals gathered from participants with acquired brain injuries is shown. Signals were recorded during therapeutic session consisting of a series of computer assisted exercises. Data acquisition was performed in a neurorehabilitation center located in Poland. The presented method may be used for comparing the performance of subjects with acquired brain injuries (ABI) who are involved...
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Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention
PublikacjaThis paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...
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The number of financial transactions made from the level of the mobile application in 2017
Dane BadawczeTaking into account the number of transactions made, the increase is almost 100% when using the mobile application. In 2017, 44 million people were recorded financial transactions made via the application, i.e. opening a deposit or ordering a transfer. It should therefore be noted that there is a growing interest in ordering certain transactions via...
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Protokół głosowania większościowego w narzędziu wsparcia decyzji handlowych
PublikacjaIstnieje szerokie spektrum narzędzi i metod wspierających decyzje handlowe, lecz brakuj jasnych reguł ich stosowania. Zaproponowano samoorganizujacy się system agentowy do wspierania decyzji handlowych. System bazując na glosowaniu z dynamicznymi wagami, wskazuje efektywne indykatory na podstawie ich poprzednich osiągnięć. Przedstawiono analizę formalną i wyniki weryfikacji, potwierdzającej cechy rozwiązania.
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Jerzy Grabosz mgr inż.
OsobyDyplom ukończenia studiów mgr inż. Elektronik – automatyk, absolwent Politechniki Gdańskiej, Wydział Elektroniki (1970), Dyplom ukończenia ukończenia studium podyplomowego „Organizacji i Zarządzania” Uniwersytet Gdański (1981), Licencja treningu menedżerskiego w zakresie marketingowego zarządzania przedsiębiorstwem udzielona przez Cal Duisberg Gesellschaft Kln (1990), Certyfikat trenera nt “ Zarządzania technologią i Total Quality...
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Computer based system for strabismus and amblyopia therapy
PublikacjaW publikacji opisano system komputerowy do badania i treningu zeza i amblyopii.W przypadku zeza i amblyopii lub tak zwanego syndromu leniwego oka terapia polega na zasłanianiu oka dominującego przez kilka godzin dziennie lub rozmywanie obrazu w tym oku poprzez zastasowanie kropli do oczu lub silnych soczewek w okularach. Taki sposób terapii powoduje zaburzenie widzenia obuocznego. Proponowane rozwiązanie zachowuje widzenie obuoczne....
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Modelowanie neuronowe regeneracyjnego wymiennika ciepła siłowni turboparowej
PublikacjaArtykuł przedstawia możliwości wykorzystania sztucznych sieci neuronowych (SSN) w celu odtworzenia pracy wymienników regeneracyjnych elektrowni kondensacyjnej. Stworzony model pracy wymienników w zmiennych warunkach ruchu znajduje zastosowanie w badaniach diagnostycznych owych urządzeń jak i całego systemu elektrowni. Referat zawiera wprowadzenie do tematyki sztucznych sieci neuronowych, opis sztucznej sieci neuronowej (SSN) wykorzystanej...
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Catch an innovation
PublikacjaEnforcement of innovation is often seen as something imperceptible, something that one can't learn. This article is trying to approve that organizations can learn how to deploy innovations.The knowledge can be saved in such matter that it will be possible to reuse it later.
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Start_V.AR Development and evaluation of a Seamless toolchain for innovative worker training using Virtual and Augmented Reality
ProjektyProjekt realizowany w Wydział Zarządzania i Ekonomii zgodnie z porozumieniem 01DS18034
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Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices
PublikacjaThere are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...
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Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
PublikacjaIn this work, we investigate exemplar-free class incremental learning (CIL) with knowledge distillation (KD) as a regularization strategy, aiming to prevent forgetting. KDbased methods are successfully used in CIL, but they often struggle to regularize the model without access to exemplars of the training data from previous tasks. Our analysis reveals that this issue originates from substantial representation shifts in the teacher...
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Potential and limits of landfill leachate treatment in a multi-stage subsurface flow constructed wetland – evaluation of organics and nitrogen removal
PublikacjaConstructed wetlands have potential of treating wastewater of poor biodegradability. The performance of a multistage sub-surface flow wetland treating municipal landfill leachate was assessed during three years of operation. During the study three research periods with different operation conditions were established. The hydralic loads, operation mode of vertical flow beds and type of treated wastewater (raw leachate – leachate...
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Multiobjective Water Distribution Systems Control of Pumping Cost, Water Quality, and Storage-Reliability Constraints
PublikacjaThis work describes a multiobjective model for trading-off pumping cost and water quality for water distribution systems operation. Constraints are imposed on flows and pressures, on periodical tanks operation, and on tanks storage. The methodology links the multiobjective SPEA2 algorithm with EPANET, and is applied on two example applications of increasing complexity, under extended period simulation conditions and variable energy...
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Federated Learning in Healthcare Industry: Mammography Case Study
PublikacjaThe paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...
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Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech
PublikacjaIn this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To-Speech (TTS) model. The proposed framework consists of 4 stages. In the first two stages, we use a VC model to convert utterances in the target locale to the voice of the target speaker. In the third stage, the converted data is combined with the linguistic features and durations...
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Badanie i terapia zaburzeń widzenia obuocznego wspomagana przez bezkontaktowy system śledzenia punktu fiksacji wzroku
PublikacjaNa rynku znajduje się klika systemów pozwalających na badanie lub trening syndromu leniwego oka z użyciem komputera PC. Niewiele z nich bazuje na wirtualnej rzeczywistości. Większość jedynie skupia się na terapii niedowidzenia bez mierzenia jakichkolwiek parametrów lub wykonuje tylko same pomiary. Proponowane rozwiązanie to kompletny system diagnostyczno - terapeutyczny do detekcji i terapii zaburzeń widzenia obuocznego - zwłaszcza...
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Zastosowanie wyłącznika bezpiecznikowego do formowania impulsu wielkiej mocy
PublikacjaW wielu układach fizycznych i technicznych konieczne jest wytwarzanie impulsów wielkiej mocy o krótkim czasie trwania (rzędu ułamków µs). Impulsy te uzyskuje się stosując układy formujące zasilane ze źródła impulsowego wielkiej mocy, o długim czasie trwania impulsu, rzędu kilkudziesięciu µs. Jednym z układów formujących jest bezpiecznik wyłącznikowy. W pracy metodą symulacyjną badano wpływ parametrów bezpiecznika wyłącznikowego...
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Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking
PublikacjaEstimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges...
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AUTOMATIC OPTIMIZATION OF ADAPTIVE NOTCH FILTER’S FREQUEN CY TRACKING
PublikacjaEstimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges...
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Shielded HMSIW-based frequency-tunable self-quadruplexing antenna using different solid/liquid dielectrics
PublikacjaThis article proposes a frequency-tunable self-quadruplexing antenna based on a shielded half-mode substrate integrated waveguide (S-HMSIW). In order to reduce the size of the HMSIW cavity resonator and to obtain quad-band characteristics, a modied E-shaped slot is engraved on the top of the metal. The experimental validation is carried out after analyzing the data using a circuit model. Flexibility of each resonant frequency is...
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Horizon Europe proposals - Administrative Part
Dane BadawczeThe dataset contains data collected during the HE National Contact Point training on Oct. 12, 2022, reg. the administrative part of Horizon Europe grant proposals. The data set includes presentations concerning administrative forms of 2022 proposals and their content, including participant data; information about abstract writing, keyword choice and...
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Determination of LFER descriptors of 30 cations of ionic lquids - progress in understanding their molercular interaction potentials
PublikacjaW celu zrozumienia interakcji molekularnych trzydziestu kationów cieczy jonowych, zastosowano powszechnie znaną koncepcję liniowej zależności energii swobodnej (LFER). Deskryptory LFER dla nadmiarowej refrakcji molowej i objętości molowej, zostały obliczone in silico, natomiast kwasowość i zasadowość wiązań wodorowych, i polaryzowalność/dipoloarność kationów cieczy jonowych zostały oznaczone eksperymentalnie za pomocą wysokosprawnej...
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Non-Destructive Testing of a Sport Tribune under Synchronized Crowd-Induced Excitation Using Vibration Analysis
PublikacjaThis paper presents the concept of repairing the stand of a motorbike speedway stadium. The synchronized dancing of fans cheering during a meeting brought the stand into excessive resonance. The main goal of this research was to propose a method for the structural tuning of stadium stands. Non-destructive testing by vibration methods was conducted on a selected stand segment, the structure of which recurred on the remaining stadium...
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Identyfikacja instrumentu muzycznego z nagrania fonicznego za pomocą sztucznych sieci neuronowych
PublikacjaCelem rozprawy jest zbadanie algorytmów do identyfikacji instrumentów występujących w sygnale polifonicznym z wykorzystaniem sztucznych sieci neuronowych. W części teoretycznej przywołano podstawy przetwarzania sygnałów fonicznych w kontekście ekstrakcji parametrów sygnałów wykorzystywanych w treningu sieci neuronowych. Dodatkowo dokonano analizy rozwoju metod uczenia maszynowego z uwzględnieniem podziału na sieci neuronowe pierwszej,...
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MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences
Publikacja—Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...
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Playback detection using machine learning with spectrogram features approach
PublikacjaThis paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...