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Search results for: multi-task learning
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Deep learning-based waste detection in natural and urban environments
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Meta-Design and the Triple Learning Organization in Architectural Design Process
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Employing a biofeedback method based on hemispheric synchronization in effective learning
PublicationIn this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual...
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Didaktische simulationsmodelle fur E-learning in der IK-ausbildung.
PublicationPrzedstawiono dydaktyczne modele symulacyjne wykorzystywane w zdalnym kształceniu z zakresu informatyki i technik komunikacyjnych. Pokazano na przykładach zbudowanych symulatorów, w jaki sposób zrealizować lub dostosować modele symulacyjne do zdalnego nauczania. Opisano doświadczenia autorów w wykorzystaniu modeli symulacyjnych w zdalnym nauczaniu.
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Playback detection using machine learning with spectrogram features approach
PublicationThis 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...
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DentalSegmentator: robust deep learning-based CBCT image segmentation
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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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Low-Cost Design Optimization of Microwave Passives Using Multi-Fidelity EM Simulations and Selective Broyden Updates
PublicationGeometry parameters of contemporary microwave passives have to be carefully tuned in the final stages of their design process to ensure the best possible performance. For reliability reasons, the tuning has to be to be carried out at the level of full-wave electromagnetic (EM) simulations. This is because traditional modeling methods are incapable of quantifying certain phenomena that may affect operation and performance of these...
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Magnetic signature reproduction of ferromagnetic ships at arbitrary geographical position, direction and depth using a multi-dipole model
PublicationThe reproduction of magnetic signatures is an important issue concerning the safety of ship traffic, as well as the identification and classification of vessels. Moreover, military applications of magnetic signatures and their reproduction refer to the activation or protection against activation of magnetic naval mines. Previous works on this subject focused on recording and replicating the signatures under the same conditions...
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Architecture of ecumenical spaces in public buildings in the 21st century: Links among the architecture of multi-faith spaces, their names, and the functions they serve in Polish airports
PublicationThis study explores the architecture and arrangement of prayer spaces in public buildings. It examines whether Polish airports have prayers spaces and whether a correlation exists between the name (e.g., “multi-faith space,” “place of prayer,” and “place of focus”) and design. The study is supported by analyses of ecumenical spaces, which have recently been brought into service andwhere a visible symbiosis exists between their...
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Communication and Load Balancing Optimization for Finite Element Electromagnetic Simulations Using Multi-GPU Workstation
PublicationThis paper considers a method for accelerating finite-element simulations of electromagnetic problems on a workstation using graphics processing units (GPUs). The focus is on finite-element formulations using higher order elements and tetrahedral meshes that lead to sparse matrices too large to be dealt with on a typical workstation using direct methods. We discuss the problem of rapid matrix generation and assembly, as well as...
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Rapid multi-criterial design of microwave components with robustness analysis by means of knowledge-based surrogates
PublicationManufacturing tolerances and uncertainties concerning material parameters, e.g., operating conditions or substrate permittivity are detrimental to characteristics of microwave components. The knowledge of relations between acceptable parameter deviations (not leading to violation of design specifications) and the nominal performance (not considering uncertainties), and is therefore indispensable. This paper proposes a multi-objective...
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Rapid multi-objective design of integrated on-chip inductors by means of Pareto front exploration and design extrapolation
PublicationIdentification of the best trade-offs between conflicting design objectives allows for making educated design decisions as well as assessing suitability of a given component or circuit for a specific application. In case of inductors, the typical objectives include maximization of the quality factor and minimization of the layout area, as well as maintaining a required inductance at a given operating frequency. This work demonstrates...
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Numerical analysis of test embankment on soft ground using multi-laminate type model with destructuration
PublicationW artykule przedstawiono model wielopłaszczyznowy (multi-laminate) uwzględniający anizotropię struktury słabonośnych gruntów drobnoziarnistych. Anizotropia indukowana naprężeniem, która otrzymuje się przy zastosowaniu modeli wielopłaszczyznowych, jest dodatkowo wzmocniona poprzez wprowadzenie prekonsolidacji zależnej od orientacji przestrzennej. Model przedstawiono w wersji sprężysto-plastycznej, w której możliwa jest symulacja...
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Screening of predicted synergistic multi-target therapies in glioblastoma identifies new treatment strategies
PublicationAbstract Background IDH-wildtype glioblastoma (GBM) is a highly malignant primary brain tumor with a median survival of 15 months after standard of care, which highlights the need for improved therapy. Personalized combination therapy has shown to be successful in many other tumor types and could be beneficial for GBM patients. Methods We performed the largest drug combination screen to date in GBM, using a high-throughput effort...
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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
PublicationRubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified...
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublicationThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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Evolutionary approach to solving multi-ship encounter situations
PublicationW artykule wprowadzono nowe podejście do rozwiązywania sytuacji spotkań wielu statków poprzez połączenie założeń teorii gier z programowaniem ewolucyjnym. Spotkanie wielu statków jest zamodelowane jako gra rozgrywana przez ''myślących graczy'' - statki o różnych, potencjalnie zmiennych strategiach. Rozwiązanie - zbiór kooperujących (niekolidujących) trajektorii jest znajdowane za pomocą algorytmu ewolucyjnego.
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Exploiting Multi-Interface Networks: Connectivity and Cheapest Paths
PublicationRozważano zagadnienie minimalizacji energii w sieciach bezprzewodowych bez infrastruktury, w których niektóre węzły są wyposażone w więcej, niż jeden interfejs. W przyjętym modelu sieci podano nowe algorytmy przybliżone oraz wyniki dotyczące złożoności obliczeniowej dla dwóch problemów: aktywacji najtańszej spójnej podsieci spinającej oraz aktywacji ścieżki pomiędzy ustaloną parą węzłów.
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Effects of workpiece feeding errors on multi-rip saws
PublicationW pracy przedstawiono przyczyny i efekty błędów prowadzenia materiału na wielopiłach tarczowych. Ich znajomość umożliwia szybką diagnostykę przyczyn, a także skuteczną minimalizację błędów prowadzenia materiału.
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A recursive multi-output dicrete-time sinusoidal oscillator
PublicationZaproponowano wielo-wyjściowy cyfrowy oscylator sinusoidalny. Przedstawiono performancję tego oscylatora. Oscylator generuje sinusoidy: o zadanych fazach początkowych i o jednostkowej amplitudzie, przy użyciu algorytmów rekursywnych. Wprowadzona tu macierz rotacji zespolonego oscylatora unifikuje różne struktury zespolonych oscylatorów i pozwala na wprowadzenie nowych struktur trójfazowych, cztero-fazowych i ogólnie wielo-fazowych...
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Downside Risk Approach for Multi-Objective Portfolio Optimization
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Selected Multi-Criteria Green Vehicle Routing Problems
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Multi-Objective Portfolio Optimization by Mixed Integer Programming
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Multi-Criteria Optimization for Fleet Size with Environmental Aspects
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Cooperative multi-provider routing optimization and income distribution
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Synthesis and characterization of iron-filled multi-walled nanotubes
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Challenges associated with bariatric surgery – a multi-center report
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OROMACS: A Design Framework for Multi-agent Control System
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Multi-level models of transport systems for traffic management
PublicationThe region of Pomorskie uses a variety of tools for forecasting and analysing transport. They can be operated, calibrated and updated with data that will be collected and stored in the TRISTAR system. An initiative of the Department of Highway Engineering of the Gdansk University of Technology is designed to develop and implement an integrated and hierarchical system for forecasting and analysing transport called MST (Multilevel...
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Human Tracking in Multi-camera Visual Surveillance System
PublicationArtykuł prezentuje krótkie podsumowanie wykorzystywanych technologii z dziedziny śledzenia osób z wykorzystaniem inteligentnych systemów bezpieczeństwa. Opisane w niniejszym opracowaniu systemy rozpoznawania twarzy, w połączeniu ze śledzeniem osób, nie mają na celu rozpoznawania tożsamości osób. Nie powstaje żadna baza danych łącząca cechy biometryczne z konkretnymi osobami, co sprawia że przestrzegane jest prawo w zakresie ochrony...
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Genetics algorithms in multi-objective optimization of detection observer
PublicationW rozdziale przedstawia się możliwości zastosowania podejścia genetycznegodo zagadnień wielokryterialnej optymalizacji w przestrzeniach wielowymiaro-wych z wykorzystaniem koncepcji optymalności w sensie Pareto. Jako przykładilustrujący rozważane podejście daje się zadanie syntezy obserwatorów stanusłużących wykrywaniu błądów występujących w układzie sterowania bezzałogowe-go statku latającego oraz w układzie napędowym jednostki...
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Evaluation of thermal diffusivity variations in multi - layered structures.
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Glucosamine-6-phosphate synthase - the multi-facets enzyme
PublicationAmidotransferaza L-glutamina: D-frukozo-6-fosforan, nazywana zwyczajowo syntazą glukozamino-6-fosforanu, jako jedyny enzym należący do grupy amidotransferaz, nie wykazuje aktywności amoniakozależnej. Enzym ten, katalizujący pierwszy wyjątkowy etap w szlaku metabolicznym prowadzącym do ostatecznego wytworzenia 5´difosfourydyno-N-acetylo-D-glukozaminy (UDG-GlcNAc) stanowi ważny punkt kontroli metabolicznej biosyntezy makromolekuł...
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Proton conductivity in multi-component ABO4-type oxides
PublicationThis work investigates how configurational entropy in oxides could affect proton conductivity. For this purpose, three samples of different elemental compositions are synthesized. Five, six and seven elements were introduced into the A-site of ANbO4, forming La1/5 Nd1/5 Sm1/5Gd1/5 Eu1/5NbO4, La1/6Nd1/6Sm1/6Gd1/6Eu1/6Ho1/6NbO4 and La1/7Nd1/7Sm1/7Gd1/7Eu1/7Ho1/7Er1/7NbO4, respectively. The high configuration disorder changes the...
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Trajectories detection in a distributed multi-sensor tracking system
PublicationW pracy rozważono problem śledzenia obiektów poruszających się za pomocą rozproszonego systemu wieloczujnikowego. Głównym zadaniem systemu śledzenia jest detekcja i estymacja trajektorii obiektów poruszających się w obserwowanej przestrzeni. Trajektoria obiektu to ciąg estymat kinematycznego stanu obiektu, jego pozycji, prędkości, itp. Klasyczne systemy śledzenia oparte są na filtrze Kalmana korzystającym z danych z pojedynczego...
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Sawing accuracy on the twin shaft multi-rip saw
PublicationW pracy przedstawiono analizę i wyniki badań doświadczalnych dokładności przecinania na dwuwrzecionowej pilarce tarczowej. Zaprezentowano warianty struktury geometryczno-ruchowej dwuwrzecionowej pilarki tarczowej, jak również warunki pracy dolnych górnych pił pilarki.
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Test Stand for Multi-option Stretching of Soft Tissues
PublicationThe paper presents the genesis of the design and possibilities of the test stand for stretching soft tissues as well as examples of tests carried out on this device.
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Test Stand for Multi-option Stretching of Soft Tissues
PublicationThe paper presents the genesis of the design and possibilities of the test stand for stretching soft tissues as well as examples of tests carried out on this device.
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Multi-agent large-scale parallel crowd simulation
PublicationThis paper presents design, implementation and performance results of a new modular, parallel, agent-based and large scale crowd simulation environment. A parallel application, implemented with C and MPI, was implemented and run in this parallel environment for simulation and visualization of an evacuation scenario at Gdansk University of Technology, Poland and further in the area of districts of Gdansk. The application uses a...
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Realization of multi-operand modular adders in the FPGA technology
PublicationW pracy opisano projektowanie i realizację struktur wielooperandowych sumatorów modularnych (MOMA) w środowisku Xilinx FPGA z użyciem technologii Virtex-6. Projekt oparty jest na pamięciach LUT (26x1), które symulują małe pamięci RAM służące jako podstawowy komponent do realizacji sumatorów. W pracy pokazano MOMA dla dodawania modularnego operandów 5-bitowych. Najpierw rozważono ogólne struktury MOMA i następnie dwa podstawowe...
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Multi-core processing system for real-time image processing in embedded computer vision applications
PublicationW artykule opisano architekturę wielordzeniowego programowalnego systemu do przetwarzania obrazów w czasie rzeczywistym. Dane obrazu są przetwarzane równocześnie przez wszystkie procesory. System umożliwia niskopoziomowe przetwarzanie obrazów,np. odejmowanie tła, wykrywanie obiektów ruchomych, transformacje geometryczne, indeksowanie wykrytych obiektów, ocena ich kształtu oraz podstawowa analiza trajektorii ruchu. Ang:This paper...
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Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks
PublicationVery often, the operation of diagnostic systems is related to the evaluation of process functionality, where the diagnostics is carried out using reference models prepared on the basis of the process description in the nominal state. The main goal of the work is to develop a hierarchical gas turbine reference model for the estimation of start-up parameters based on multi-layer perceptron neural networks. A functional decomposition...
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Levels of 13 multi-class pesticide residues in Polish honeys determined by LC-ESI-MS/MS
PublicationLevels of 13 pesticides in 40 honey samples form Poland are reported. A rapid and sensitive method was developed for the LC-ESI-MS/MS determination of multi-class pesticide residues in honey samples. Liquid-liquid extraction (LLE) on a diatomaceous earth support (requiring the use of small amounts of organic solvent), followed by chromatographic separation on a C18 column and gradient elution were employed. The method quantifies...
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EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm
PublicationAntenna structures for modern applications are characterized by complex and unintuitive topologies that are difficult to develop when conventional experience-driven techniques are of use. In this work, a method for automatic generation of antenna geometries in a multi-objective setup has been proposed. The approach involves optimization of a generic spline-based radiator with adjustable number of parameters using a nested trust-region-based...
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
PublicationEfficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced...
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Features of irregularity in examples of Polish multi-family architecture constructed in 2011–2021 and nominated for the Mies van der Rohe award
PublicationThis article is devoted to the analysis of contemporary Polish multi-family architecture in the context of aesthetic irregularity. The research was limited to constructions from 2011–2021 and nominated for the Mies van der Rohe award as the objects with the greatest potential impact on shaping further trends. In their research, the authors focused on searching for the features of irregularities, which, in their opinion, have become...
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Cannabinoid CB1 antagonists and dopamine antagonists produce different effects on a task involving response allocation and effort-related choice in food-seeking behavior
PublicationW przeprowadzonych badaniach iniekcja antagonistów dopaminy (DA) szczurom powoduje znaczny spadek użycia siły przez zwierzęta w poszukiwaniu żywności i jednoczesny wzrost spożycia jedzenia laboratoryjnego. Przeciwnie, iniekcja antagonisty AM4113 lub odwrotnego agonisty AM251 receptora CB1 powoduje zmniejszenie ilości jedzenia granulek, ale nie wpływa na zwiększenie konsumpcji jedzenia laboratoryjnego. Efekty wywierane na zwierzęta...
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2007 Guidelines for the management of arterial hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC)
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An experimental study of self-sensing concrete enhanced with multi-wall carbon nanotubes in wedge splitting test and DIC
PublicationConcrete is the worldwide most utilized construction material because of its very good performance, forming ability, long-term durability, and low costs. Concrete is a brittle material prone to cracking. Extensive cracking may impact durability and performance over time considerably. The addition of a small amount of carbon nanotubes (CNT) increases the concrete’s overall electrical conductivity, enabling internal structure...