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Eye Blink Based Detection of Liveness in Biometric Authentication Systems Using Conditional Random Fields
PublikacjaThe goal of this paper was to verify whether the conditional random fields are suitable and enough efficient for eye blink detection in user authentication systems based on face recognition with a standard web camera. To evaluate this approach several experiments were carried on using a specially developed test application and video database.
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Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
PublikacjaFast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable—and often prohibitive—CPU cost of massive full-wave electromagnetic (EM) analyses related to solving common tasks such as parametric optimization or uncertainty quantification. The most popular class of surrogates are data-driven...
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An enhanced method in predicting tensile behaviour of corroded thick steel plate specimens by using random field approach
PublikacjaThe present work investigates the possibility of using random field techniques in modelling the mechanical behaviour of corroded thick steel plate specimens. The nonlinear Finite Element method, employing the explicit dynamic solver, is used to analyse the mechanical properties of typical specimens. A material model considering full nonlinearity is used to evaluate the stress-strain response. The influence of major governing parameters...
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Rapid Design Tuning of Miniaturized Rat-Race Couplers Using Regression-Based Equivalent Network Surrogates
PublikacjaA simple technique for fast design tuning of compact rat-race couplers is presented. Our approach involves equivalent circuit representation, corrected by nonlinear functions of frequency with coefficients extracted through nonlinear regression. At the same time, the tuning process connects two levels of coupler representation: EM simulation of the entire circuit and re-optimization of the coupler building blocks (slow-wave cells...
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublikacjaAccurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...
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Application of Multinomial Logistic Regression to Model the Impact of Rainfall Genesis on the Performance of Storm Overflows: Case Study
PublikacjaIn this study, a mathematical model was proposed to analyze the performance of storm overfows. The model included the infuence of rainfall genesis on the duration of storm overfow, its volume, and the maximum instantaneous fow. The multinomial logistic regression model, which has not been used so far to model objects located in a stormwater system, was proposed to simulate the duration of storm overfow. The Iman–Conover method,...
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Sensitivity analysis of simple random beam models by means of Monte Carlo Methods using Variance Reductions Techniques
PublikacjaA probabilistic sensitivity analysis of two nonlinear bar structures is presented. The analysis is carried out on the basis of the Monte Carlo method. The imperfections of the structures and the applied loads are adapted as random variables. Based on all of the generated input variables, an output response of the system is sought. Afterwards, a coefficient responsible for the structure failure is calculated and the limit state...
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Increased Certification of Semi-device Independent Random Numbers using Many Inputs and More Postprocessing
PublikacjaQuantum communication with systems of dimension larger than two provides advantages in information processing tasks. Examples include higher rates of key distribution and random number generation. The main disadvantage of using such multi-dimensional quantum systems is the increased complexity of the experimental setup. Here, we analyze a not-so-obvious problem: the relation between randomness certification and computational requirements...
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Hierarchical random models in road transport safety
PublikacjaIn this paper multilevel approach to the issue of road safety level on the road network of European regions, classified as NUTS 2 in statistical databases of the EU, has been presented. The risk calculated as the number of death casualties in road accidents per 100,000 inhabitants of a given region has Poisson distribution. Therefore, generalized Poisson model has been assumed in the modelling process. Multilevel stochastic analysis...
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Invariant Measures for Uncountable Random Interval Homeomorphisms
PublikacjaA necessary and sufficient condition for the iterated function system { f (·, ω) | ω ∈ } with probability P to have exactly one invariant measure μ∗ with μ∗((0, 1)) = 1 is given. The main novelty lies in the fact that we only require the transformations f (·, ω) to be increasing homeomorphims, without any smoothness condition, nei- ther we impose conditions on the cardinality of . In particular, positive Lyapunov exponents conditions...
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Detection of random transients caused by pitting corrosion
PublikacjaProces korozyjny może być badany za pomocą techniki szumu elektrochemicznego. Szum obserwowany jest jako fluktuacje prądowe i napięciowe w trójelektrodowym układzie pomiarowym. W celu stwierdzenia obecności korozji wżerowej wykonana została detekcja charakterystycznych sygnałów. Opracowany został algorytm oparty na analizie lokalnych zmian w spektrogramie rejestru prądowego. Spektrogram uzyskany został za pomocą krótkoczasowej...
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Random height of thin layer of rheological liquids
PublikacjaPraca prezentuje nowe modele funkcji gęstości w rozkładach Gaussa, opisujących losowo zmieniającą się wysokość szczeliny w stawie biodrowym człowieka przy uwzględnieniu właściwości reologicznych synowialnej cieczy smarującej.
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Development of Local IDF-formula Using Controlled Random Search Method for Global Optimization
PublikacjaThe aim of the study is to present the effective and relatively simple empirical approach to rainfall Intensity-Duration-Frequency-formulas development, based on Controlled Random Search (CRS) for global optimization. The approach is mainly dedicated to the cases in which the commonly used IDF-relationships do not provide satisfactory fit between simulations and observations, and more complex formulas with higher number of parameters...
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Controlled Random Search Applied to Parameters Estimation of the Longitudinal Solutes Transport Model for Rivers
PublikacjaNumerical computations are presented for the longitudinal transport of passive, conservative solutes in an actual river with the inclusion of geometrical complexities of river channels. A special emphasis is put on the method of the identification of model parameters which is based on a specially designed optimisation procedure using random control search algorithm. Two different situations are considered namely a linear version...
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Contribution to the bryoflora of the „Boczki” nature reserve (Puszcza Romnicka forest)
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Power-line corridors as source habitat for butterflies in forest landscapes
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Experimental research on technical fabric of the Forest Opera Roof in Sopot
PublikacjaThe experimental analysis of the technical fabric Valmex is presented. The study involves uniaxial tensile, cyclic, rheological and biaxial tests. Some of the main differencies between two types of the analysed material have been identified. Mechanical properties of the textile have been modeled by the viscoelastic standard model with quite good effect.
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Gender wage gap convergence and skills heterogeneity in Poland (2005-2014) - quantile regression analysis based on microdata from EUSILC.
PublikacjaIn this article we quantify the magnitude and evolution of gender wage differentials in Poland over the years 2005 – 2014 using microlevel data from EU-SILC database (Statistics on Income and Living Conditions). In the study gender wage gap is examined through quantile regression analysis. It is shown that the gender wage gap varies along the wage distribution with workers’ skills heterogeneity playing a role. Additionally, the...
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Generalized regression neural network and fitness dependent optimization: Application to energy harvesting of centralized TEG systems
PublikacjaThe thermoelectric generator (TEG) system has attracted extensive attention because of its applications in centralized solar heat utilization and recoverable heat energy. The operating efficiency of the TEG system is highly affected by operating conditions. In a series-parallel structure, due to diverse temperature differences, the TEG modules show non-linear performance. Due to the non-uniform temperature distribution (NUTD) condition,...
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublikacjaHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Chemical Composition of Atmospheric Air in Nemoral Scots Pine Forests and Submountainous Beech Forests: The Potential Region for the Introduction of Forest Therapy
PublikacjaStudies show that forests are one of the main recreational destinations. This can be explained by their beneficial effects on the health of their visitors, which can be attributed to compounds from the terpene group. The aim of this research was to determine the chemical composition of air in the interiors of Nemoral Scots pine forests and submountainous beech forests, with the determination of compounds of the terpene group. Samples...
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Conditional simulation of spatiotemporal random fields of environmental contamination
PublikacjaArtykuł przedstawia metodę warunkowego modelowania przestrzenno-czasowych pól losowych w zagadnieniach środowiska naturalnego. Metoda ta może być wykorzystana do prognozy zanieczyszczenia w wybranych punktach w danym czasie na podstawie pomiarów wykonanych w innych miejscach i/lub w innym czasie. Analizę przeprowadzono na przykładzie zanieczyszczenia gruntu metalami ciężkimi.
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Shell with random geometric imperfections simulation-based approach
PublikacjaPrzedstawiono analizę powłok z losowymi imperfekcjami. Zastosowano nieliniowe geometrycznie i materiałowo modele. Geometryczne imperfekcje opisano za pomocą pojedynczych zmiennych oraz pól losowych. Wykorzystano metodę Monte Carlo i metodę elementów skończonych. Zbadano wpływ różnych rozkładów prawdopodobieństwa imperfekcji geometrycznych na probabilistyczny rozkład nośności granicznej powłok. Zastosowane rozkłady ekstremalne imperfekcji...
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Informational entropy in simulation of one-dimensional random fields
PublikacjaEntropia ciągłego rozkładu prawdopodobieństwa jest zdefiniowana jako funkcja liczby węzłów skalarnego pola losowego. W przykładzie numerycznym przedstawiono propagacje entropii w zagadnieniu reakcji sprężystego wspornika przy losowym obciążeniu.
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Methods of non-stationary components detection of random fluctuations
PublikacjaPrzedstawiono problem detekcji składowych niestacjonarnych dla kilku rodzajów sygnałów losowych reprezentujących zjawiska szumowe w systemach fizycznych. Zaproponowano zastosowanie kilku specyficznych metod detekcji na podstawie analizy w dziedzinie częstotliwości i przedyskutowano uzyskane wyniki potwierdzające efektywność tych metod. Bardziej złożona obliczeniowo metoda z zastosowaniem transformaty falkowej daje lepsze rezultaty...
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Simulation and discretization of random field in the slip line method.
PublikacjaW pracy rozpatrywany jest problem nośności granicznej podłoża o własnościach stochastycznych przy obciążeniu spoczywającym na nim ciężkim sztywnym bloku.Opisano sposób generacji wielowymiarowego pola losowego oparty na diagonalizacji macierzy kowariancji przy wykorzystaniu macierzy dolnotrójkątnej .Szczególną uwagę zwrócono na wpływ dyskretyzacji ośrodka na rozwiązanie oraz jego zbieżność.
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Uncertainty in measuring the power spectrum density of a random signal
PublikacjaPrzedstawiono sposób oszacowania niepewności wyznaczania gęstości widmowej mocy przebiegu losowego. Przeprowadzono ocenę niepewności estymacji gęstości widmowej mocy biorąc pod uwagę propagację niepewności związanej z rejestracją pojedynczej próbki sygnału w algorytmie cyfrowego przetwarzania sygnału oraz błąd obciążenia estymatora wynikający z zastosowanego modelu matematycznego wielkości wyznaczanej. Wyprowadzono zależności na...
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Diversity of microorganisms from forest soils differently polluted with heavy metals
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Sludge multifunctions in a phytobiome—Forest and plantation application including microbial aspects
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Assessment of the increase in retention in the forest habitats covered by the Natura 2000 programme
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The effect of windthrow and its management on breeding bird communities in a managed forest
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Forest clear-cuts as additional habitat for breeding farmland birds in crisis
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Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String
PublikacjaA new method of Hansen solubility parameters (HSPs) prediction was developed by combining the multivariate adaptive regression splines (MARSplines) methodology with a simple multivariable regression involving 1D and 2D PaDEL molecular descriptors. In order to adopt the MARSplines approach to QSPR/QSAR problems, several optimization procedures were proposed and tested. The effectiveness of the obtained models was checked via standard...
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Decisional DNA with embedded Relief-F linear regression for knowledge and experience management
PublikacjaOmowiono zastowania Decyzyjnego DNA, regresji liniowej oraz funkcji RELIEF-F w procesach formalnego modelowania i wspomagania zarzadzania wiedza oraz zarzadzania doswiadczeniem.
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Variable‐fidelity modeling of antenna input characteristics using domain confinement and two‐stage Gaussian process regression surrogates
PublikacjaThe major bottleneck of electromagnetic (EM)-driven antenna design is the high CPU cost of massive simulations required by parametric optimization, uncertainty quantification, or robust design procedures. Fast surrogate models may be employed to mitigate this issue to a certain extent. Unfortunately, the curse of dimensionality is a serious limiting factor, hindering the construction of conventional data-driven models valid over...
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Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model with Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
PublikacjaSurrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable computational expenditures. Replacing EM analysis by fast surrogates provides a way to accelerate the design procedures. Unfortunately, modeling of microwave passives is a challenging...
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Application of Multivariate Adaptive Regression Splines (MARSplines) Methodology for Screening of Dicarboxylic Acids Cocrystal Using 1D and 2D Molecular Descriptors
PublikacjaDicarboxylic acids (DiAs) are probably one of the most popular cocrystals formers. Due to the high hydrophilicity and non-toxicity, they are promising solubilizes of active pharmaceutical ingredients (APIs). Although DiAs appear to be highly capable of forming multicomponent crystals with various compounds, some systems reported in the literature are physical mixtures the solid state without forming stable intermolecular complex....
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Silo structures with initial geometric imperfections loaded with random wind
PublikacjaRozważana jest analiza zachowania konstrukcji powłokowej z losowymi początkowymi imperfekcjami geometrycznymi pod losowym obciążeniem wiatrem. Niedoskonałości geometryczne silosów mogą prowadzić do znacznego ograniczenia ich zakładanej nośności. Początkowe odchyłki można opisać za pomocą relacji deterministycznych, których parametry są wybierane na podstawie Eurokodów. Wielkość, kierunek i inne charakterystyczne parametry obciążenia...
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Spatiotemporal random field models in vibration-based diagnosis of structures.
PublikacjaW pracy przedstawiono nowe podejscie do diagnostyki dynamicznejkonstrukcji w zakresie modelowania stochastycznego.Glownymzalozeniem jest losowosc parametrow konstrukcji(wlasnoscimaterialowe,geometryczne i warunki brzegowe}.Wlasnosci te samodelowane jako czasoprzestrzenne pola losowe drugiego rzedu.Zdefiniowano stochastyczne indeksy uszkodzenia konstrukcji.
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Metabolic activity of tree saps of different origin towards cultured human cells in the light of grade correspondence analysis and multiple regression modeling
PublikacjaTree saps are nourishing biological media commonly used for beverage and syrup production. Although the nutritional aspect of tree saps is widely acknowledged, the exact relationship between the sap composition, origin, and effect on the metabolic rate of human cells is still elusive. Thus, we collected saps from seven different tree species and conducted composition-activity analysis. Saps from trees of Betulaceae, but not from...
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Content and mobility of strontium in forest soils according to north-south transect in Poland
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Problems of Small Recreation Areas Valuation-Forest Refugium in the Silesia Park in Chorzów
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Forest habitat loss and fragmentation in Central Poland during the last 100 years
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Forest Inventory Data Reveal Stand History from 115 Years Ago
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Atmospheric heavy metal deposition accumulated in rural forest soils of southern Scandinavia
PublikacjaPrzeprowadzono obliczenia zakumulowanej ( w okresie 50 lat) atmosferycznej depozycji metali ciężkich na glebach leśnych na obszarach wiejskich. Podstawę do obliczeń stanowiły:- pomiary zawartości metali ciężkich w opadach atmosferycznych (przeprowadzone przez okres 33 lat) na terenie Danii,- europejska baza danych o emisji zanieczyszczeń.Oznaczano zawartość metali ciężkich (Pb, Cd, Cu, Zn, V, Ni, As) w próbkach opadów atmosferycznych...
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Prediction of Peptide Retention at Different HPLC Conditions from Multiple Linear Regression Models
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Burnout as a State: Random-Intercept Cross-Lagged Relationship Between Exhaustion and Disengagement in a 10-Day Study
PublikacjaBackground: Burnout has been traditionally seen as a chronic and stable state in response to prolonged stress. However, measures of momentary burnout are not well established, even though the within-person approach suggests that the symptoms of burnout may vary from day to day for the same employee. The aim of this study is to examine the daily inter- and intra-personal variability of the symptoms of burnout and the cross-lagged relationship...
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Assessment of Wide-Sense Stationarity of an Underwater Acoustic Channel Based on a Pseudo-Random Binary Sequence Probe Signal
PublikacjaThe performances of Underwater Acoustic Communication (UAC) systems are strongly related to the specific propagation conditions of the underwater channel. Designing the physical layer of a reliable data transmission system requires a knowledge of channel characteristics in terms of the specific parameters of the stochastic model. The Wide-Sense Stationary Uncorrelated Scattering (WSSUS) assumption simplifies the stochastic description...
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Numerical simulation of threshold-crossing problem for random fields of environmental contamination
PublikacjaCelem artykułu jest analiza szacowania prawdopodobieństwa, że pole losowe zanieczyszczeń nie przekracza pewnej wartości w danej dwuwymiarowej przestrzeni. W analizie wykorzystano metodę modelowania stochastycznego wykorzystując procedurę symulacji warunkowej. Opisany przykład praktycznego zastosowania metody dotyczy pola zanieczyszczenia metalami ciężkimi gruntu w regionie gdańskim.
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Typing of Scopulariopsis and Microascus fungi by Random Amplified Polymorphic DNA (RAPD)
PublikacjaOBJECTIVES Scopulariopsis species and their teleomorphs of the genus Microascus are commonly isolated from soil, decaying plant material and indoor environments. Moreover, certain Scopulariopsis and Microascus species are recognised as opportunistic human pathogens. Although most species can be identified by detailed morphological study, phenotypic characters appear to overlap in several cases and morphology seems to be insufficient...