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Pedestrian protection, speed enforcement and road network structure the key action for implementing Poland's Vision Zero
PublicationSince 1991 Poland's road safety has been systematically improving with a 60% reduction in road deaths. Despite the progress Poland continues to be one of the European Union' worst performing countries. The country's main road safety problems remain unchanged: dangerous behaviour of road users, underdeveloped system of road safety management and low quality of road infrastructure. This is why subsequent road safety programmes (implemented...
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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
PublicationData from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...
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Safety assessment of ships in critical conditions using a knowledge-based system for design and neural network system
PublicationW pracy opisano wybrane elementy metody oceny bezpieczeństwa statków w stanie uszkodzonym, ukierunkowanej na ocenę osiągów statku i ocenę ryzyka. Metoda analizy osiągów i zachowania się statku w stanie uszkodzonym została wykorzystana do oceny charakterystyk hydromechanicznych statku uszkodzonego. Do oceny ryzyka wykorzystano elementy metodyki Formalnej Oceny Bezpieczeństwa. System ekspertowy został wykorzystany do analziy podziału...
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Influence of input data on airflow network accuracy in residential buildings with natural wind - and stack - driven ventilation.
PublicationW artykule omówiono wpływ danych wejściowych na dokładność modelu przepływu sieciowego powietrza w budynkach mieszkalnych z naturalną i kominową wentylacją. Zastosowano połączony model AFN-BES. Wyniki numeryczne omówiono dla 8 różnych przypadków z różnymi danymi ciśnienia wiatru. Wyniki pokazały, że ogromny wpływ danych wejściowych dotyczących ciśnienia wiatru na wyniki numeryczne.
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Mateusz Weiland Network Solutions
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Stanisław Szczepański prof. dr hab. inż.
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Advancing the evidence base for public policies impacting on dietary behaviour, physical activity and sedentary behaviour in Europe: The Policy Evaluation Network promoting a multidisciplinary approach
PublicationNon-communicable diseases (NCDs) are the leading cause of global mortality. As the social and economic costs of NCDs have escalated, action is needed to tackle important causes of many NCD’s: low physical activity levels and unhealthy dietary behaviours. As these behaviours are driven by upstream factors, successful policy interventions are required that encourage healthy dietary behaviours, improve physical activity levels and...
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Lucyna Nyka prof. dr hab. inż. arch.
PeopleLucyna Nyka (Ph.D., D.Sc., Prof.) is a Professor at the Faculty of Architecture, Gdańsk University of Technology, in 2008-2016 a Vice-Dean for Research, and since 2016 – Dean of the Faculty of Architecture. Her research interests focus on issues concerning water-related architecture and urban landscapes. She is the author and co-author of many projects focused on urban renewal. She was an author of the EU-founded (Audiovisual...
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Mathematical modeling and prediction of pit to crack transition under cyclic thermal load using artificial neural network
PublicationThe formation of pitting is a major problem in most metals, which is caused by extremely localized corrosion that creates small holes in metal and subsequently, it changes into cracks under mechanical load, thermo-mechanical stress, and corrosion process factors. This research aims to study pit to crack transition phenomenon of steel boiler heat tubes under cyclic thermal load, and mathematical modeling...
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<title>Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices</title>
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Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study
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Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures
PublicationAbstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...
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Radioimmunotherapy Confers Long-Term Survival to Lymphoma Patients with Acceptable Toxicity: Registry Analysis by the International Radioimmunotherapy Network
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Optimal selection of input features and an acompanying neural network structure for the classification purposes - skin lesions case study
PublicationMalignant melanomas are the most deadly type of skin cancers however detected early enough give a high chances for successful treatment. The last years saw the dynamic growth of interest of automatic computer-aided skin cancer diagnosis. Every month brings new research results on new approaches to this problem, new methods of preprocessing, new classifiers, new ideas to follow etc. In particular, the rapid development of dermatoscopy,...
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Contact force network evolution in active earth pressure state of granular materials: photo‑elastic tests and DEM
PublicationArtykuł omawia ewolucję sieci sił kontaktowych w materiałach granulowanych podczas quasi-statycznego stanu aktywnego. Doświadczenia foto sprężyste zostały wykonane dla kulek szklanych. Doświadczenia zostały symulowane stosując metodę elementów dyskretnych (DEM). Model DEM prawidłowo przewidział strukturę sił kontaktowych i ich wielkość, lokalizację odkształceń oraz obszary zmian fazowych.
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Tagged images with LEGO bricks part 2
Open Research DataThe 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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Stromal-Epithelial Cross-Talk in the Intestinal Stem Cell Niche is Mediated by a Regulatory Network that Involves TGF-Beta and CTGF
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A Simulation-Optimization Model for Automated Parcel Lockers Network Design in Urban Scenarios in Pamplona (Spain), Zakopane, and Krakow (Poland)
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Prenatal stress leads to changes in IGF-1 binding proteins network in the hippocampus and frontal cortex of adult male rat
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A diode rectifier with a Special Coupled Reactor and additional Active Power Filter in the Marine Local Power Network Supply Conditions
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Planowanie rozwoju sieci dystrybucji energii elektrycznej na obszarach miejskich = Planning of development of the urban electricity distribution network
PublicationReferat przedstawia opis rozwiązania problemu planowania rozwoju sieci dystrybucji energii elektrycznej na obszarach miejskich. Rozwiązanie uzyskuje się w drodze zaprogramowania rozwoju z wykorzystaniem algorytmu genetycznego. Uwzględniane są dane o zawodności istniejącej infrastruktury i jej ograniczenia przesyłowe. Podjęto również próbę odwzorowania możliwych do wyboru tras prowadzenia linii kablowych. Funkcja zdatności rozwiązania...
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A new analyzer based on pellistor sensor with neural network data postprocessing for measurement of hydrocarbons in lower explosive limit range
PublicationW pracy przedstawiono rezultaty pierwszego etapu badań nad nowym typem analizatora do oznaczania stężenia wodoru i lotnych węglowodorów w zakresie dolnej granicy wybuchowości. Analizator ten zbudowano w oparciu o pojedynczy czujnik pelistorowy z układem przetwarzania danych wykorzystującym sztuczną sieć neuronową.
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Update on the molecular pathogenesis and clinical treatment of Mantle Cell Lymphoma (MCL): minutes of the 9th European MCL Network conference
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A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
PublicationBiodiesel has been emerging as a potential and promising biofuel for the strategy of reducing toxic emissions and improving engine performance. Computational methods aiming to offer numerical solutions were inevitable as a study methodology which was sometimes considered the only practical method. Artificial neural networks (ANN) were data-processing systems, which were used to tackle many issues in engineering and science, especially...
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Parameters of land reference points in the Gdynia region and the Free-air anomaly grid of the South Baltic
Open Research DataThe data was registered during the campaign to verify the catalog value of the absolute point coordinates [point 5403 (POLREF-GORA DONAS)] of the national gravimetric control network. The data was recorded in two three-hour stationary measurement campaigns at the following points: Rozewie of the EUREF-POL network, Góra Donas POLREF, and mareograph points...
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Romanika Okraszewska dr inż. arch.
PeopleRomanika Okraszewska, Ph.D., Eng. Arch., is an Assistant Professor at the Faculty of Civil and Environmental Engineering of Gdańsk University of Technology (GUT). Graduated from the mathematical and informatical class at the National Education Commission High School in Gdańsk. Graduated from two faculties of Gdańsk University of Technology, Architecture and Urban Planning (2002) and Management and Economics (2004). Participant...
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Artificial neural network model of hardness, porosity and cavitation erosion wear of APS deposited Al2O3 -13 wt% TiO2 coatings
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A Dynamic Forecast Demand Scenario Analysis to Design an Automated Parcel Lockers Network in Pamplona (Spain) Using a Simulation-Optimization Model
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Metabolic Profiling of Jasminum grandiflorum L. Flowers and Protective Role against Cisplatin-Induced Nephrotoxicity: Network Pharmacology and In Vivo Validation
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Application of Generalized Regression Neural Network and Gaussian Process Regression for Modelling Hybrid Micro-Electric Discharge Machining: A Comparative Study
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Prediction of skin color, tanning and freckling from DNA in Polish population: linear regression, random forest and neural network approaches
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Recurrent Neural Network Based Adaptive Variable-Order Fractional PID Controller for Small Modular Reactor Thermal Power Control
PublicationThis paper presents the synthesis of an adaptive PID type controller in which the variable-order fractional operators are used. Due to the implementation difficulties of fractional order operators, both with a fixed and variable order, on digital control platforms caused by the requirement of infinite memory resources, the fractional operators that are part of the discussed controller were approximated by recurrent neural networks...
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Topology recognition and leader election in colored networks
PublicationTopology recognition and leader election are fundamental tasks in distributed computing in networks. The first of them requires each node to find a labeled isomorphic copy of the network, while the result of the second one consists in a single node adopting the label 1 (leader), with all other nodes adopting the label 0 and learning a path to the leader. We consider both these problems in networks whose nodes are equipped with...
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Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples
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Synergistic effect of carbon fibers and carbon nanotubes on improving thermal stability and flame retardancy of polypropylene: a combination of a physical network and chemical crosslinking
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland—Swietokrzyskie Voivodeship
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Using Deep Neural Network Methods for Forecasting Energy Productivity Based on Comparison of Simulation and DNN Results for Central Poland – Swietokrzyskie Voivodeship
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Korporacja Guggenheima- globalny charakter sieci muzeów a tożsamość miasta = Guggenheim's Corporation- global character of museums' network vresus city identity
PublicationFundacja Solomona R. Guggenheima jest instytucją zajmującą się promowaniem współczesnej kultury wizualnej za pomocą organizowanych wystaw, badań, programów edukacyjnych oraz publikacji. Architektura obiektów wystawienniczych związanych z Fundacją, jest przedmiotem i zarazem pełni rolę środka promocji współczesnej sztuki. Status instytucji przewiduje globalną ekspansję, jednak dotychczas w gestii władz Fundacji znajdują się: siedziba...
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First Measurements of the Earth’s Electric Field at the Arctowski Antarctic Station, King George Island, by the New Polish Atmospheric Electricity Observation Network
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APPLICATION OF THE GWR MODEL FOR PREDICTING THE ROAD FATALITIES RATE ON THE ROAD NETWORK IN THE NUTS 3 REGIONS IN EUROPE ON THE EXAMPLE OF KUYAVIAN- -POMERANIAN VOIVODESHIP
PublicationThe article presents the application of the GWR (Geographically Weighted Regression) model to the description of differences in the level of road traffic safety in individual counties on the example of the Kuyavian-Pomeranian Voivodeship. The GWR model developed for counties, taking into account the diversity of NUTS 3 regions, can be a helpful tool for traffic safety management in voivodships and lower administrative units, and...
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Marek Wójcikowski dr hab. inż.
PeopleMarek Wójcikowski graduated in 1993 from the Department of Electronics at Gdansk University of Technology (GUT). In 2002 he obtained a doctoral degree in the field of electronics and in 2016 he obtained a habilitation at the Faculty of Electronics, Telecommunications and Informatics at GUT. From the beginning of his career he is associated with GUT: first as an assistant (years 1994-2002) and then as assistant professor (since...
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Ewa Lechman prof. dr hab.
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Particle swarm optimization–artificial neural network modeling and optimization of leachable zinc from flour samples by miniaturized homogenous liquid–liquid microextraction
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Synergistic effect of nanoscale carbon black and ammonium polyphosphate on improving thermal stability and flame retardancy of polypropylene: A reactive network for strengthening carbon layer
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Correction: Synergistic effect of carbon fibers and carbon nanotubes on improving thermal stability and flame retardancy of polypropylene: a combination of a physical network and chemical crosslinking
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Central nervous system involvement in mantle cell lymphoma: clinical features, prognostic factors and outcomes from the European Mantle Cell Lymphoma Network†
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Partycypacja obywatelska młodzieży z perspektywy polskich i litewskich instytucji na przykładzie projektu South Baltic Youth Core Group Network
PublicationCelem artykułu było ukazanie partycypacji obywatelskiej młodzieży w opinii pracowników instytucji działających na terenie 5 polskich gmin: Dzierzgoń, Elbląg, Gdynia, Iława i Nowe Miasto Lubawskie i litewskiej gminy Teslai. W ramach projektu SB YCGN przeprowadzono badanie metodą sondażu diagnostycznego z wykorzystaniem techniki ankiety internetowej na 118 respondentach z 53 polskich instytucji i 47 respondentach z 10 litewskich...
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X-ray Photoelectron Spectroscopy studies of salivary gland stones
Open Research DataThis dataset contains the high-resolution XPS studies for 23 cross-sections of salivary gland stones. The sialoliths were cut to determine the differences in composition between various regions: core (labeled as R), interlayer (labeled as P) and sialolith surface (labeled as Z).
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Zastosowanie algorytmu ewolucyjnego do uczenia neuronowego regulatora napięcia generatora synchronicznego. Evolutionary algorithm for training a neural network of synchronous generator voltage controller
PublicationNajpopularniejsza metoda uczenia wielowarstwowych sieci neuronowych -metoda wstecznej propagacji błędu - charakteryzuje się słabą efektywnością. Z tego względu podejmowane są próby stosowania innych metod do uczenia sieci. W pracy przedstawiono wyniki uczenia sieci realizującej regulator neuronowy, za pomocą algorytmu ewolucyjnego. Obliczenia symulacyjne potwierdziły dobrą zbieżność algorytmu ewolucyjnego w tym zastosowaniu.
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Policy Evaluation Network (PEN): Protocol for systematic literature reviews examining the evidence for impact of policies on physical activity across seven different policy domains
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