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Search results for: PART-BASED MODELS
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The Green Approach to the Synthesis of Bio-Based Thermoplastic Polyurethane Elastomers with Partially Bio-Based Hard Blocks
PublicationBio-based polymeric materials and green routes for their preparation are current issues of many research works. In this work, we used the diisocyanate mixture based on partially bio-based diisocyanate origin and typical petrochemical diisocyanate for the preparation of novel bio-based thermoplastic polyurethane elastomers (bio-TPUs). We studied the influence of the diisocyanate mixture composition on the chemical structure, thermal,...
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Surface effects of network materials based on strain gradient homogenized media
PublicationThe asymptotic homogenization of periodic network materials modeled as beam networks is pursued in this contribution, accounting for surface effects arising from the presence of a thin coating on the surface of the structural beam elements of the network. Cauchy and second gradient effective continua are considered and enhanced by the consideration of surface effects. The asymptotic homogenization technique is here extended to...
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Investigation of temperature changes using a microsphere-based fiber-optic sensor
Open Research DataInvestigation of temperature changes using a microsphere-based fiber-optic sensor with a 200 nm ZnO ALD coating for the purpose of validation the design of the sensor, measurement setup and method of examination of electric cell materials.
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Fast Low-fidelity Wing Aerodynamics Model for Surrogate-Based Shape Optimization
PublicationVariable-fidelity optimization (VFO) can be efficient in terms of the computational cost when compared with traditional approaches, such as gradient-based methods with adjoint sensitivity information. In variable-fidelity methods, the directoptimization of the expensive high-fidelity model is replaced by iterative re-optimization of a physics-based surrogate model, which is constructed from a corrected low-fidelity model. The success...
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Application of Msplit method for filtering airborne laser scanning data sets to estimate digital terrain models
PublicationALS point cloud filtering involves the separation of observations representing the physical terrain surface from those representing terrain details. A digital terrain model (DTM) is created from a subset of points representing the ground surface. The accuracy of the generated DTM is influenced by several factors, including the survey method used, the accuracy of the source data, the applied DTM generation algorithm, and the survey...
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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublicationThis study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...
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River flow simulation based on the HEC-RAS system
PublicationThis work considers the problem of river floods, and presents a computer solution that can be used to predict such a threat. The basic tool, called Hydrologic Engineering Centers for River Analysis System (HEC-RAS), and created by the US Army Corps of Engineering, is well developed; and the models created in the system HEC-RAS are quite realistic. For the purpose of solving practical national flood problems, simplified static and...
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River Flow Simulation Based on the HEC-RAS System
PublicationThis work considers the problem of river floods, and presents a computer solution that can be used to predict such a threat. The basic tool, called Hydrologic Engineering Centers for River Analysis System (HEC-RAS), and created by the US Army Corps of Engineering, is well developed; and the models created in the system HEC-RAS are quite realistic. For the purpose of solving practical national flood problems, simplified static and...
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Modeling and control of a redundantly actuated variable mass 3RRR planar manipulator controlled by a model-based feedforward and a model-based-proportional-derivative feedforward–feedback controller
PublicationIn the paper, dynamics of a complex mechatronics system is considered. A redundantly actuated planar manipulator is the base of the mechanical part of it. It is a 3RRR 1 platform based parallel manipulator. To control its trajectory, a model-based feedforward controller is employed. Three aspects are fundamental in the presented investigations. The first focus is on development of an accurate numerical model used to solve the inverse...
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JOURNAL OF POLYMER SCIENCE PART A-POLYMER CHEMISTRY
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Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends
PublicationSemantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...
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Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models
PublicationThis work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...
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Towards More Realistic Probabilistic Models for Data Structures: The External Path Length in Tries under the Markov Model
PublicationTries are among the most versatile and widely used data structures on words. They are pertinent to the (internal) structure of (stored) words and several splitting procedures used in diverse contexts ranging from document taxonomy to IP addresses lookup, from data compression (i.e., Lempel- Ziv'77 scheme) to dynamic hashing, from partial-match queries to speech recognition, from leader election algorithms to distributed hashing...
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Parametric versus nonparametric modelling of dynamic susceptibility contrast enhanced MRI based data
PublicationDynamic tracking of a bolus of a paramagnetic agent (dynamic susceptibility contract - DSC) in MRI (magnetic resonance imaging) measurements is successfully used for assessment of the tissue perfusion and the other features and functions of the brain (i.e. cerebral blood flow - CBF, cerebral blood volume - CBV, mean transit time - MTT). The parametric and nonparametric approaches to the identification of MRI models are presented...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...
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Performance-Based Nested Surrogate Modeling of Antenna Input Characteristics
PublicationUtilization of electromagnetic (EM) simulation tools is mandatory in the design of contemporary antenna structures. At the same time, conducting designs procedures that require multiple evaluations of the antenna at hand, such as parametric optimization or yield-driven design, is hindered by a high cost of accurate EM analysis. To certain extent, this issue can be addressed by utilization of fast replacement models (also referred...
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The Role of University in the Development of Entrepreneurial Intentions of Younger Generations: Selected Models
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Can cooperativity in hydrophobic association be reproduced correctly by implicit solvation models?
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Fast multiplexer cad using surrogate models for channel filters synthesis
Publicationartykuł przedstawia metodę szybkiego projektowania multiplekserów mikrofalowych wykorzystującą dokładne modele zastępcze na etapie projektowania kanałów. przedstawiony został przykład trój-kanałowego multipleksera z filtrami dwurodzajowymi.
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High accuracy multisensor hydroacoustic system for models of trawl geometry measurements
PublicationW pracy przedstawiono wieloelementowy hydroakustyczny system do pomiaru modeli włoków. System został zaprojektowany dla Akademii Rolniczej w Szczecinie i umożliwia precyzyjny pomiar geometrii projektowanych tam narzędzi połowowych w tym selektywnych worków dorszowych. Zastosowanie małych hydrofonów o wysokiej częstotliwości pracy oraz cyfrowego przetwarzania sygnałów z analizą korelacyjną umożliwiło uzyskanie bardzo dużej dokładności...
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Ag(e)ing and Degradation of Supercapacitors: Causes, Mechanisms, Models and Countermeasures
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Application of multi-criteria mathematical programming models for assignment of services in a hospital
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Triple-objective models for portfolio optimisation with symmetric and percentile risk measures
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Comparative analysis of numerical models of arch-shaped steel sheet sections
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Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems
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Hydrological excitation of polar motion by different variables from the GLDAS models
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Assessing hydrological signal in polar motion from observations and geophysical models
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Experimental Verification of Natural Vibration Models of Steel-concrete Composite Beams
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Studies of Streptococcus anginosus Virulence in Dictyostelium discoideum and Galleria mellonella Models
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Investigating the release of ZnO nanoparticles from cement mortars on microbiological models
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Estimation of Vehicle Energy Consumption at Intersections Using Microscopic Traffic Models
PublicationThis paper addresses issues related to modeling energy consumption and emissions using microscopic traffic simulations. This paper develops a method in which a traffic model is used to calculate the energy needed to travel through selected types of intersections. This paper focuses on energy consumption and derived values of calculated energy, which can be, for example, carbon dioxide emissions. The authors present a review of...
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Gendered Self-Views Across 62 Countries: A Test of Competing Models
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Digesting anomalies in emerging European markets: A comparison of factor pricing models
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Explaining Equity Anomalies in Frontier Markets: A Horserace of Factor Pricing Models
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The adaptation of business process management maturity models to the context of the knowledge economy
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Comparison of Seepage Models Applied to Design of Trapezoidal Infiltration Trenches and Basins
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Review of constitutive models for technical woven fabrics in finite element analysis
PublicationArtykuł opisuje typy modeli konstytutywnych stosowanych do opisu zachowania się tkanin technicznych w analizie MES. Proponowany jest także warstwowy model sieci gęstej.
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Non-quadratic quality criteria in parameter estimation of continuous-time models
PublicationW pracy wykorzystuje się procedury estymacji parametrycznej do identyfikacji modeli z czasem ciągłym. Rozważane algorytmy minimalizują wskaźnik jakości w postaci sumy lub całki wartości bezwzględnej błędu predykcji. Zastosowanie techniki zmiennych instrumentalnych umożliwia ponadto znaczące polepszenie dokładności ocen parametrów, a wprowadzony do w procedur estymacji mechanizm ważenia błędów predykcji pozwala identyfikować modele...
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Theoretical models of the torque of mechanical losses in the pump used in a hydrostatic drive
PublicationPrzedstawiono modele teoretyczne i matematyczne momentu strat mechanicznych występujących w pompie o stałej teoretycznej wydajności qPt na obrót wału (o stałej teoretycznej objętości roboczej VPt) bądź o zmiennej geometrycznej wydajności qPgv na obrót wału (o zmiennej geometrycznej objętości roboczej VPgv). Modele mają służyć badaniom laboratoryjnym i symulacyjnym strat energetycznych w pompie umożliwiającym ocenę sprawności energetycznej...
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Development of models for nitrogen-removal processes in subsurface flow constructed wetlands
PublicationThis paper summarizes recent progress in modelling approach of subsurface flow constructed wetlands (SSF CWs), focusing on nitrogen removal processes.
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Virtual Models of Analog-Digital Converters in Education of Electrical Measurements and Instrumentation.
PublicationPrzedstawiono opracowane przez autorów przyrządy wirtualne do demonstracji działania przetworników analogowo-cyfrowych: integracyjnego, kompensacyjnego, sigma-delta, z pośrednim sygnałem częstotliwościowym. Programy umożliwiają obserwację zmian napięcia w punktach charakterystycznych układów w spowolnionej skali czasowej. Możliwe jest również zadawanie zakłóceń.
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Semi-Markovian models of the process of technical state changes of technical objects.
PublicationNajistotniejszym problemem eksploatacji wszystkich obiektów technicznych (urządzeń) jest problem racjonalnego (a zwłaszcza optymalnego) decyzyjnego sterowania procesem zmian stanów technicznych tych obiektów. Sterowanie takie może być realizowane w przypadku zastosowania między innymi modelu wspomnianego procesu zmian stanów. Mając to na uwadze, w opracowaniu tym przedstawiono formalny opis procesu eksploatacji obiektów technicznych...
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Hierarchical dynamic hybrid models for aided design of ship power subsystems.
PublicationRozważa się wielopoziomowe modele systemu energetycznego statku. Elementy systemu są modelowane z użyciem ciągłych zmiennych stanu i uwzględnieniem zerowego związku przyczynowo-skutkowego. Poziom pierwszy opisuje wzajemne związki modeli zerowego poziomu, poziom drugi reprezentuje powiązania modeli pierwszego poziomu itd. W ten sposób opisuje się modele elementów zespołów i podsystemów. Każdy z modeli może być hybrydowym modelem...
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Low order autoregressive (AR) models for FDTD analysis of microwave filters.
PublicationArtykuł opisuje zastosowanie modeli AR w celu poprawy efektywności analizy struktur filtrujących metodą różnic skończonych w dziedzinie czasu (FD-TD). Opisanych jest szereg kryteriów pozwalających na automatyczne tworzenie modeli AR sygnałów czasowych, w tym wybór fragmentu odpowiedzi układu stanowiący podstawę ekstrakcji współczynników modelu, współczynnika decymacji oraz rzędu modelu. Skuteczność wprowadzonych kryteriów...
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Semiempirical models for low energy positron scattering by Ar, Kr and Xe
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THE PULSE DESCRIPTORS IN SENSITIVITY STUDIES OF HYBRID SORPTION COLUMN TRANSPORT MODELS
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Comparative analysis of national and regional models of the silver economy in the European Union
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Continuum models for pantographic blocks with second gradient energies which are incomplete
PublicationWe postulate a deformation energy for describing the mechanical behavior of so called pantographic blocks, that is bodies constituted by stacking of layers of pantographic sheets. We remark that the pantographic effect is limited in the plane of pantographic sheets and therefore only the second derivatives of transverse displacements along the pantographic fibers appear in the chosen deformation energy. We use this novel energy...
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Probabilistic Analysis of Structure Models using Target Random Sampling (TRS)
PublicationThe work presents testing methods of sensitivity and reliability of mechanical or structural systems. All computations concerned the case of Zigler column, a simple model of a compressed column involving two random variables only. A conclusion was drawn that the standard Monte Carlo method, its reduction variants and the response surface method allow to assess the sensitivity of structural response to the variation of random structural...