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Gdańsk University of Technology

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Publications from the year 2019

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  • MOŻLIWOŚCI WYKORZYSTANIA METOD I MODELI PROBABILISTYCZNYCH W PROJEKTOWANIU OKRĘTOWYCH INSTALACJI PAROWYCH
    • Damian Bocheński
    • Dominik Kreft
    2019 Full text Journal of Polish CIMEEAC

    Artykuł przedstawia możliwości wykorzystania metod i modeli probabilistycznych w projektowaniu okrętowych instalacji parowych w siłowniach spalinowych. Zaproponowano dwie możliwości opisu eksploatacyjnych wydajności kotłów utylizacyjnych oraz eksploatacyjnego zapotrzebowania ciepła. Pierwsza to zastosowanie do opisu rozkładu normalnego, drugą jest zamodelowanie okrętowej instalacji parowej jako systemu masowej obsługi.

  • Możliwości zastosowania oświetlenia dziennego w projektowaniu architektonicznym wnętrz biurowych w Polsce północnej. Badanie możliwości redukcji oświetlenia sztucznego.
    • Marta Waczyńska
    • Justyna Martyniuk-Pęczek
    2019

    Artykuł stanowi analizę możliwości użycia światła dziennego w projektowaniu oświetlenia wnętrz biurowych. Głównym celem badania było wykazanie na ile możliwe jest zastąpienie oświetlenia sztucznego w projekcie światłem dziennym, przy zachowaniu wartości parametrów oświetleniowych wymaganych dla prawidłowego oświetlenia miejsc pracy. Podstawową motywacją do przeprowadzenia badania była wzrastająca rola maksymalizacji wykorzystania światła dziennego, jako głównego źródła oświetlenia pomieszczeń biurowych, ze względu na optymalizację rozwiązań projektu wnętrz w zakresie funkcjonalnym, ekonomicznym i energetycznym.

  • MRI assessment of ectopic fat accumulation in pancreas, liver and skeletal muscle in patients with obesity, overweight and normal BMI in correlation with the presence of central obesity and metabolic syndrome
    • J Pieńkowska
    • B. Brzeska
    • Mariusz Kaszubowski
    • Oliwia Kozak
    • Anna Jankowska
    • Edyta Szurowska
    2019 Full text Diabetes Metabolic Syndrome and Obesity-Targets and Therapy

    Purpose: Obesity, defined as a body mass index (BMI) exceeding 30 kg/m2, is a serious health problem, which can be called an epidemic on a global scale and is one of the most important causes of preventable death. The aim of this study was to assess ectopic fat accumulation in pancreas, liver and skeletal muscle in patients with obesity, overweight and normal BMI in correlation with metabolic syndrome (MetS). Patients and methods: The study included 267 consecutive patients who underwent a standard clinical assessment with BMI calculation. Ectopic fat accumulation in pancreas, liver, and skeletal muscle was evaluated by magnetic resonance imaging (MRI) using fat-water separated Dixon imaging. MetS was defined according to the criteria modified by the National Cholesterol Education Program Adult Treatment Panel III Guidelines. Central obesity was defined using gender and ethnic-specific values for waist circumference. Results: There was a statistically significant correlation between the degree of steatosis of the assessed organs and BMI value as well as waist circumference ratio, that determined the degree of central obesity. It was found that the most rapid relative fat accumulation was in muscle, then in pancreas and then in liver. Higher steatosis of pancreas, liver, and muscle was demonstrated depending on the number of the satisfied MetS criteria. Conclusion: Knowing that pancreatic fatty disease is a risk factor for MetS, it seems that assessment and monitoring of ectopic fat accumulation may have important clinical implications and may be used in the prediction of metabolic risk and its early prevention.

  • MRM–MS of marker peptides and their abundance as a tool for authentication of meat species and meat cuts in single-cut meat products
    • Katarzyna Nalazek-Rudnicka
    • Ilona Edyta Kłosowska-Chomiczewska
    • Andrzej Wasik
    • Adam Macierzanka
    2019 Full text FOOD CHEMISTRY

    The abundance of protein markers in different types of meat cuts was explored in the context of authentication of raw meat (pork, beef and chicken) and processed meat products. Peptides originating from myoglobin (Mb) and myosin (My) were analyzed using multiple reaction monitoring mass spectrometry (MRM–MS). Analytical protocol was optimized for good repeatability (CV < 10%) and high sensitivity. The MS signal intensity of Mb marker peptides in raw pork depended significantly on the cut type (e.g. ham vs knuckle). Importantly, a similar pattern in the abundance of the marker peptides was found for processed meat products made of different types of pork cuts, despite the food processing applied. This suggests the protocol can be used for authentication of raw pork cuts and processed products made of different cuts of pork. More uniform contents of Mb markers were found in raw beef cuts, and for My markers in raw chicken cuts.

  • Multi-agent large-scale parallel crowd simulation with NVRAM-based distributed cache
    • Artur Malinowski
    • Paweł Czarnul
    2019 Journal of Computational Science

    This paper presents the architecture, main components and performance results for a parallel and modu-lar agent-based environment aimed at crowd simulation. The environment allows to simulate thousandsor more agents on maps of square kilometers or more, features a modular design and incorporates non-volatile RAM (NVRAM) with a fail-safe mode that can be activated to allow to continue computationsfrom a recently analyzed state in case of a failure. We show results for an evacuation scenario for an areaof up to 6 km2in a district of Gdansk, Poland, performed on two clusters, one with hardware simulationof NVRAM. We have shown a very small overhead of using NVRAM compared to the RAM only solutionand an overhead of 20% with the fail-safe mode on using NVRAM, shown up to 30 000 agents and up to25 000 iterations of the simulation. We also show the benefit of using NVRAM for file synchronizationwith a slow growth of the execution time while increasing the map size. We then present how the fre-quency of visualization affects execution time and very good scaling of the proposed solution in a clusterenvironment for more than 650 processes and 60 000 agents.

  • Multibody models for gait analysis
    • Wiktoria Wojnicz
    • Bartłomiej Zagrodny
    • Michał Ludwicki
    • Jerzy Mrozowski
    • Jan Awrejcewicz
    • Edmund Wittbrodt
    2019 Full text

    The aim of this study was to create multibody biomechanical models to analyze a normal gait of the human. Proposed models can be used to identify joint moments of the lower limbs during normal gait in the single and double support phases. Applying Newton-Euler formulation, following planar models were developed: 1) a mathematical 6DOF model describing a gait in the sagittal plane of the body for single support phase and double support phase; 2) a mathematical 7DOF model describing a gait in the sagittal plane of the body for single support phase and double support phase; 3) a mathematical 7DOF model describing a gait in the frontal plane of the body for single support phase and double support phase. Proposed mathematical models can be applied to solve a forward dynamic task or inverse dynamic task. A validation of these models had been performed by comparing results measured over examination of normal human gait and results calculated by solving an inverse dynamic task.

  • Multi-Criteria Knowledge-Based Recommender System for Decision Support in Complex Business Processes
    • Aleksandra Revina
    • Nina Rizun
    2019 Full text

    In this paper, we present a concept of a multi-criteria knowledge-based Recommender System (RS) designed to provide decision support in complex business process (BP) scenarios. The developed approach is based on the knowledge aspects of Stylistic Patterns, Business Sentiment and Decision-Making Logic extracted from the BP unstructured texts. This knowledge serves as an input for a multi-criteria RS algorithm. The output is prediction of the BP complexity, based on which the algorithm modifies the type and the way of decision support, ranging from full to minimal automation. We show how the algorithm can be applied in the real-life scenarios by the example of the IT ticketing case study. We also evaluate the BP complexity prediction quality using both quantitative (data-based) and qualitative (interview-based) approach in the case study

  • Multi-Fidelity Local Surrogate Model for Computationally Efficient Microwave Component Design Optimization
    • Yiran Song
    • Qingsha Cheng
    • Sławomir Kozieł
    2019 Full text SENSORS

    In order to minimize the number of evaluations of high-fidelity (“fine”) model in the optimization process, to increase the optimization speed, and to improve optimal solution accuracy, a robust and computational-efficient multi-fidelity local surrogate-model optimization method is proposed. Based on the principle of response surface approximation, the proposed method exploits the multi-fidelity coarse models and polynomial interpolation to construct a series of local surrogate models. In the optimization process, local region modeling and optimization are performed iteratively. A judgment factor is introduced to provide information for local region size update. The last local surrogate model is refined by space mapping techniques to obtain the optimal design with high accuracy. The operation and efficiency of the approach are demonstrated through design of a bandpass filter and a compact ultra-wide-band (UWB) multiple-in multiple-out (MIMO) antenna. The response of the optimized design of the fine model meet the design specification. The proposed method not only has better convergence compared to an existing local surrogate method, but also reduces the computational cost substantially

  • Multifrequency Nanoscale Impedance Microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes
    • Artur Zieliński
    • Mateusz Cieślik
    • Michał Sobaszek
    • Robert Bogdanowicz
    • Kazimierz Darowicki
    • Jacek Ryl
    2019 Full text ULTRAMICROSCOPY

    In this paper, we describe the modification of Nanoscale Impedance Microscopy (NIM), namely, a combination of contact-mode atomic force microscopy with local impedance measurements. The postulated approach is based on the application of multifrequency voltage perturbation instead of standard frequency-by-frequency analysis, which among others offers more time-efficient and accurate determination of the resultant impedance spectra with high spatial resolution. Based on the impedance spectra analysis with an appropriate electric equivalent circuit, it was possible to map surface resistance and contact capacitance. Polycrystalline heavy boron-doped diamond (BDD) electrodes were the research object. Recent studies have shown that the exposure of such electrodes to oxidizing environment may result in the modification of termination type, and thus it is a key factor in describing the electric and electrochemical properties of BDD. We have successfully applied multifrequency NIM, which allowed us to prove that the modification of termination type is selective and occurs with different propensity on the grains having specific crystallographic orientation. Furthermore, our approach enabled the detection of even subtle submicroscopic surface heterogeneities, created as a result of various oxidation treatments and to distinguish them from the surface heterogeneity related to the local distribution of boron at the grain boundaries.

  • Multimedialny system nadzoru dla straży granicznej – projekt STRADAR
    • Marek Blok
    • Bartosz Czaplewski
    • Sylwester Kaczmarek
    • Jacek Litka
    • Magdalena Młynarczuk
    • Marcin Narloch
    • Maciej Sac
    2019 Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

    STRADAR jest systemem nadzoru przeznaczonym do wspierania działań operacyjnych morskiej straży granicznej, umożliwiającym zbieranie, przetwarzanie i udostępnianie informacji i danych pochodzących z takich sensorów, jak radary, kamery wideo, AIS, GPS, aparaty fotograficzne oraz z połączeń audio, wiadomości SMS, plików i notatek. Informacje te mogą być udostępniane na bieżąco oraz archiwalnie z synchronizacją zdarzeń lub bez synchronizacji. Forma i sposób prezentacji jest konfigurowany przez personel w zależności od aktualnych potrzeb. Na wieloekranie stanowiska wizualizacji zadań można prezentować jednocześnie wiele zadań.

  • MULTIMODALNE POMIARY DRGAŃ STRUNY
    • Marta Stefaniak
    • Witold Nosorowski
    2019 Full text Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej

    W artykule zostały przedstawione badania drgań struny zrealizowane przy użyciu szybkich kamer wizyjnych, mikrofonu oraz akcelerometru. Obiektem badań były instrumenty muzyczne. Opisano zjawiska zachodzące w instrumencie podczas tworzenia się i wydobywania z niego dźwięku. Celem pracy było zbadanie różnic w wynikach otrzymanych poprzez pomiary wykonane z użyciem zróżnicowanych reprezentacji obrazowych i sygnałowych. Zaproponowano sposób pobudzania instrumentu, który pozwolił na wykonywane badań w sposób powtarzalny. Opisano metodologię wykonanych pomiarów oraz algorytm do analizy pomiarów wykonanych metodą optyczną, który umożliwił przetworzenie zarejestrowanego obrazu na sygnał foniczny. Na koniec zaprezentowano otrzymane wyniki z wszystkich modalności oraz wnioski z analiz.

  • Multi-objective optimization of microextraction procedures
    • Marta Bystrzanowska
    • Marek Tobiszewski
    2019 Full text TRAC-TRENDS IN ANALYTICAL CHEMISTRY

    Optimization of extraction process requiresfinding acceptable conditions for many analytes and goodperformance in terms of process time or solvent consumption. These optimization criteria are oftencontradictory to each other, the performance of the system in given conditions is good for some criteriabut poor for others. Therefore, such problems require special assessment tools that allow to combinethese contradictory criteria into single score tofind“the golden mean”. This contribution summarizes theexamples of approaches that are used for multi-objective optimization. Derringer's desirability functionsare used for large variety of microextraction techniques optimizations. Finding Pareto-optimal solutionsallows to easily separate conditions that are definitely not acceptable. Alternative solution is applicationof multi-criteria decision analysis for microextraction processes optimization.

  • MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE OptD-MULTI METHOD
    • Wioleta Błaszczak-bąk
    • Anna Sobieraj-Żłobińska
    • Michał Kowalik
    2019 Full text Metrology and Measurement Systems

    New measurement technologies, e.g. Light Detection And Ranging (LiDAR), generate very large datasets. In many cases, it is reasonable to reduce the number of measuring points, but in such a way that the datasets after reduction satisfy specific optimization criteria. For this purpose the Optimum Dataset (OptD) method proposed in [1] and [2] can be applied. The OptD method with the use of several optimization criteria is called OptD-multi and it gives several acceptable solutions. The paper presents methods of selecting one best solution based on the assumptions of two selected numerical optimization methods: the weighted sum method and the "-constraint method. The research was carried out on two measurement datasets from Airborne Laser Scanning (ALS) and Mobile Laser Scanning (MLS). The analysis have shown that it is possible to use numerical optimization methods (often used in construction) to obtain the LiDAR data. Both methods gave different results, they are determined by initially adopted assumptions and – in relation to early made findings, these results can be used instead of the original dataset for various studies.

  • Multiresolution analysis and adaptive estimation on a sphere using stereographic wavelets
    • Bogdan Ćmiel
    • Karol Dziedziul
    • Natalia Jarzębkowska
    2019 Full text NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS

    We construct an adaptive estimator of a density function on d dimensional unit sphere Sd (d ≥ 2), using a new type of spherical frames. The frames, or as we call them, stereografic wavelets are obtained by transforming a wavelet system, namely Daubechies, using some stereographic operators. We prove that our estimator achieves an optimal rate of convergence on some Besov type class of functions by adapting to unknown smoothness. Our new construction of stereografic wavelet system gives us a multiresolution approximation of L2(Sd) which can be used in many approximation and estimation problems. In this paper we also demonstrate how to implement the density estimator in S2 and we present a finite sample behavior of that estimator in a numerical experiment.

  • Mury oporowe z gruntu zbrojonego z przekładkami z keramzytu
    • Grzegorz Horodecki
    • Anita Biłanicz
    • Karolina Smentoch
    2019 Mosty

    W czerwcu 2019 r. nastąpiło otwarcie nowo budowanego wiaduktu na ulicy Drwęckiej w Ostródzie, który zastąpił jeden z trzech przejazdów kolejowo-drogowych znajdujących się w centrum miasta. Zakończenie budowy bezkolizyjnego przejazdu nad torami kolejowymi pozwoliło na bezpieczne oraz szybkie połączenie północnej i południowej części Ostródy. Zastosowanie materacy z keramzytu w konstrukcji z gruntu zbrojonego.

  • Music information retrieval—The impact of technology, crowdsourcing, big data, and the cloud in art.
    • Bożena Kostek
    2019 Full text Journal of the Acoustical Society of America

    The exponential growth of computer processing power, cloud data storage, and crowdsourcing model of gathering data bring new possibilities to music information retrieval (mir) field. Mir is no longer music content retrieval only; the area also comprises the discovery of expressing feelings and emotions contained in music, incorporating other than hearing modalities for helping this issue, users’ profiling, merging music with social media and qualitative recommendations in music services. Moreover, 5g telecommunications networks, characterized by “near-instant and everything in the vicinity talks with one another,” with exponentially faster download and upload speeds, may change the existing models and create a new age of interconnectedness. This paper aims at showing some of the already highly exploited technologies and crowdsourcing models applied to music processing. Several studies are discussed in details, such as, e.g., deep learning applied to music, a way to generate an expanded training sets using 2-d data such spectrograms, mel-cepstrograms, chromagrams, and waveform-based representations of the signal instead of feature vectors in machine learning, allowing to retain all nuances related musical articulation in the signal. Also, a discussion is to be outlined, expanding the issue of the impact of these new technologies on the artistic and aesthetic values of music.

  • Music signal equalization in a changing environment
    • Piotr Hoffmann
    2019

    The paper presents the concept of an automatic system for music signal correction, considering room frequency response and music genre being played. The proposed algorithm, based on the room frequency response, compensates acoustic conditions surrounding the sound source. Additionally, the compensation process considers the signal content by recognizing music genre. As part of the described research, a series of subjective tests was presented to assess the effectiveness of the proposed algorithm depending on the music genre and acoustic conditions. The subjective tests described were carried out in accordance with the Mushra and AB methodology. In total, over 80 people took part in both tests and the results obtained from them

  • Mutual Attraction: Siemens Activities in Italy 1855-1968
    • Luciano Segreto
    2019

    The chapter deals with Siemens investments in Italy between 1855 and 1968. The contribution shows how the two war influenced the strategies of the company

  • Mutually polarizable QM/MM model with in situ optimized localized basis functions
    • Jacek Dziedzic
    • Teresa Head-Gordon
    • Martin Head-Gordon
    • Chris-Kriton Skylaris
    2019 Full text JOURNAL OF CHEMICAL PHYSICS

    We extend our recently developed quantum-mechanical/molecular mechanics (QM/MM) approach [Dziedzic et al., J. Chem. Phys. 145, 124106 (2016)] to enable in situ optimization of the localized orbitals. The quantum subsystem is described with ONETEP linear-scaling density functional theory and the classical subsystem – with the AMOEBA polarizable force field. The two subsystems interact via multipolar electrostatics and are fully mutually polarizable. A total energy minimization scheme is employed for the Hamiltonian of the coupled QM/MM system. We demonstrate that, compared to simpler models using fixed basis sets, the additional flexibility offered by in situ optimized basis functions improves the accuracy of the QM/MM interface, but also poses new challenges, making the QM subsystem more prone to overpolarization and unphysical charge transfer due to increased charge penetration. We show how these issues can be efficiently solved by replacing the classical repulsive van der Waals term for QM/MM interactions with an interaction of the electronic density with a fixed, repul- sive MM potential that mimics Pauli repulsion, together with a modest increase in the damping of QM/MM polarization. We validate our method, with particular attention paid to the hydrogen bond, in tests on water-ion pairs, the water dimer, first solvation shells of neutral and charged species, and solute-solvent interaction energies. As a proof of principle, we determine suitable repulsive potential parameters for water, K+, and Cl−. The mechanisms we employed to counteract the unphysical overpolarization of the QM subsystem are demonstrated to be adequate, and our approach is robust. We find that the inclusion of explicit polarization in the MM part of QM/MM improves agreement with fully QM calculations. Our model permits the use of minimal size QM regions and, remarkably, yields good energetics across the well-balanced QM/MM interface.

  • Nadmierne osiadania nawierzchni drogowej w ujęciu geotechnicznym – przyczyny, monitoring, możliwe metody naprawy
    • Grzegorz Horodecki
    2019 Magazyn Autostrady

    Nadmierne osiadania nawierzchni stanowią „wieczny” problem użytkowników dróg. Z odkształceniami nawierzchni łączy się obniżenie komfortu i bezpieczeństwa jazdy (BRD). Jedną z podstawowych przyczyn takiego zjawiska jest zachowanie się podłoża gruntowego. Najczęściej dotyczy to zjawiska osiadania podłoża gruntowego, stanowiącego efekt ściśliwości gruntów w wyniku przyłożenia obciążenia i jest przekroczeniem stanów granicznych użytkowalności (SGU). W rzadszych przypadkach odkształcenia wiążą się z przekroczeniem stanu granicznego nośności (SGN).