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Wyniki wyszukiwania dla: ADAPTIVE SAMPLING
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Dynamic Headspace Sampling as an Initial Step for Sample Preparation in Chromatographic Analysis
PublikacjaThis work represents a brief summary of the use of dynamic headspace (DHS) as a technique for sample preparation in chromatographic analysis. Despite numerous developments in the area of analyte isolation and enrichment, DHS remains one of the fundamental methods used with GC. In our opinion, interest in this technique will not diminish significantly because it conforms to stipulations of green analytical chemistry. Moreover, DHS...
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Efficient sampling of high-energy states by machine learning force fields
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Calibration of Passive Samplers for the Monitoring of Pharmaceuticals in Water-Sampling Rate Variation
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An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
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Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
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Characterization of PLZT Thin Films for Fast Electro-Optical Sampling Circuits
PublikacjaW artykule omówiono technologię wytwarzania cienkich warstw wybranych kompozycji ceramik ołowiowo-lantanowo-cyrkonowo-tytanowych, nazywanych ceramikami PLZT. Przedstawiono wyniki badań jakości warstw za pomocą techniki XRD. wyniki pomiaru grubości warstw, ich względnej przenikalności dielektrycznej i współczynnika załamania. Omówiono kierunki dalszych prac.
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Data Sampling-Based Feature Selection Framework for Software Defect Prediction
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Azo dyes: Sources, occurrence, toxicity, sampling, analysis, and their removal methods
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High Efficiency Configuration Space Sampling -- probing the distribution of available states
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The influence of sampling parameters on accuracy of capacitance measurement in the method based on DSP.
PublikacjaW artykule przedstawiono metodę pomiaru parametrów impedancyjnych bazującą na próbkowaniu sygnałów pomiarowych i DSP. Przeanalizowano wpływ głównych źródeł niepewności i błędów na dokładność pomiaru pojemności. Zawarto analizę dla następujących parametrów: niesynchroniczne próbkowanie sygnałów pomiarowych (napięciowego i prądowego), rozdzielczość przetwornika a/c i ilość zbieranych próbek. Załączono wyniki symulacji.
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Soxhlet Extraction and New Developments Such as Soxtec in: Comprehansive Sampling and Sample Preparation
PublikacjaSoxhlet extraction is one of the most popular techniques for extraction of analytes from solid materials. Since its discovery in 1879, the standard Soxhlet technique has been routinely applied in almost every analytical laboratory. Up to this day, Soxhlet extraction technique remains a standard technique to which the performance of modern extraction techniques is compared.Over the years, an intensive research on different modifications...
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Validation and Regulatory Issues for Sample Preparation in: Comprehensive Sampling and Sample Preparation
PublikacjaW rozdziale opisano podstawowe terminy związane z walidacja procedury analitycznej. Szczególnie zwrócono uwagę na etapy pobierania i przygotowania próbek do analizy. Podano także rolę i znaczenie poszczególnych składowych procesu kontroli i zapewnienia jakości wyników pomiarów analitycznych.
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Passive sampling as a tool for obtaining reliable analyticalinformation in environmental quality monitoring
PublikacjaSpośród technik pobierania próbek analitów technika dozymetrii pasywnej wydaje się być interesującą alternatywą w stosunku do powszechnie stosowanych technik dynamicznych. Dozymetria pasywna łączy w sobie etap pobierania próbki z etapem izolacji i wzbogacania analitów, które są zatrzymywane w odpowiednim medium zatrzymującym. Prowadzi to do znacznego uproszczenia operacji analitycznych wykonywanych in situ. W odróżnieniu od aktywnych...
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Probabilistic Analysis of Structure Models using Target Random Sampling (TRS)
PublikacjaThe 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...
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Improved Uniform Sampling in Constrained Domains for Data-Driven Modelling of Antennas
PublikacjaData-driven surrogate modelling of antenna structures is an attractive way of accelerating the design process, in particular, parametric optimization. In practice, construction of surrogates is hindered by curse of dimensionality as well as wide ranges of geometry parameters that need to be covered in order to make the model useful. These difficulties can be alleviated by constrained performance-driven modelling with the surrogate...
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Gas selectivity enhancement by sampling-and-hold method in resistive gas sensors
PublikacjaCommercial resistive gas sensors exhibit various sensitivity to numerous gases when working at different elevated temperatures. That effect is due to a change in velocity of adsorption and desorption processes which can be modulated by temperature. Thus, to reach better selectivity of gas detection, we propose to apply a known method (called the sampling-and-hold method) of cooling down the gas sensor in the presence of the investigated...
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Efficient uncertainty quantification using sequential sampling-based neural networks
PublikacjaUncertainty quantification (UQ) of an engineered system involves the identification of uncertainties, modeling of the uncertainties, and the forward propagation of the uncertainties through a system analysis model. In this work, a novel surrogate-based forward propagation algorithm for UQ is proposed. The proposed algorithm is a new and unique extension of the recent efficient global optimization using neural network (NN)-based...
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Constrained aerodynamic shape optimization using neural networks and sequential sampling
PublikacjaAerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...
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Down-Sampling of Large LiDAR Dataset in the Context of Off-Road Objects Extraction
PublikacjaNowadays, LiDAR (Light Detection and Ranging) is used in many fields, such as transportation. Thanks to the recent technological improvements, the current generation of LiDAR mapping instruments available on the market allows to acquire up to millions of three-dimensional (3D) points per second. On the one hand, such improvements allowed the development of LiDAR-based systems with increased productivity, enabling the quick acquisition...
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Never ending story: a lesson in using sampling efficiency methods with ground beetles
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Ionic liquids for the passive sampling of sulfonamides from water—applicability and selectivity study
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Salinity and pH as factors affecting the passive sampling and extraction of pharmaceuticals from water
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Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection
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Application of passive sampling techniques as a usable tool in the field of environmental quality monitoring
PublikacjaAnalysis of literature data published for the past 20 years leads to the conclusion, that passive sampling technique has been developing very quickly and is commonly used in the field of monitoring pollutants in air, water and soil environment. The popularity of application of passive sampling techniques in analytical and environmental chemistry results from its many advantages e.g.: Simplicity in use, low costs of exploitation,...
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Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling
PublikacjaFull-wave electromagnetic (EM) analysis has become one of the major design tools for contemporary antenna structures. Although reliable, it is computationally expensive which makes automated simulation-driven antenna design (e.g., parametric optimization) difficult. This difficulty can be alleviated by utilization of fast and accurate replacement models (surrogates). Unfortunately, conventional data-driven modeling of antennas...
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Static headspace sampling and solid-phase microextraction for assessment of edible oils stability
PublikacjaStatyczna analiza fazy nadpowierzchniowej i mikroekstrakcja do fazy stacjonarnej z fazy nadpowierzchniowej zostały zastosowane do oznaczenia niskocząsteczkowych aldehydów - markerów procesu utleniania olejów roślinnych. Zoptymalizowano parametry izolacji i ekstrakcji analitów dla obu technik. Wyznaczono granice oznaczalności i wykrywalności oraz powtarzalność dla badanych związków. Obie metody zastosowano w analizie próbek olejów...
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GaMRed – adaptive filtering of high-throughput biological data
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A self-optimization mechanism for generalized adaptive notch smoother
PublikacjaTracking of nonstationary narrowband signals is often accomplished using algorithms called adaptive notch filters (ANFs). Generalized adaptive notch smoothers (GANSs) extend the concepts of adaptive notch filtering in two directions. Firstly, they are designed to estimate coefficients of nonstationary quasi-periodic systems, rather than signals. Secondly, they employ noncausal processing, which greatly improves their accuracy and...
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Adaptive resolution-constrained scalar multiple-description coding
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Teaching Adaptive Control with DS1102 DSP Controller Board
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Gradient adaptive lattice filter in FPGAS-implementation issues
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Generalized adaptive notch filter with a self-optimization capability
PublikacjaW pracy przedstawiono samonastrajalny wariant tzw. uogólnionego adaptacyjnego filtru wycinającego. Automatycznym strojeniem objęte są dwa współczynniki wzmocnienia adaptacji, odpowiedzialne za śledzenie amplitud i częstotliwości parametrów identyfikowanego obiektu.
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Semi-adaptive feedback active control of MRI noise
PublikacjaA feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a considerable rejection rate of the MRI noise can be obtained.
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Adaptive selection of control parameters in differential evolution algorithms
PublikacjaW pracy przedstawiono metodę adaptacyjnej selekcji parametrów kontrolnych w różnicowych algorytmach ewolucyjnych. Wartości parametrów takich jak: stopień krzyżowania i współczynnik różnicowej mutacji są odpowiednio zmieniane. Funkcje testowe użyte do testowania proponowanej metody były zaczerpnięte z literatury. Rezultaty uzyskane przy użyciu opisanej metody zostały porównane z innymi metodami selekcji różnicowej. Wyniki te, uzyskane...
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Adaptive neural voltage controller with tunable activation gain
PublikacjaW artykule przedstawiono model adaptacyjnego neuronowego regulatora napięcia dla turbogeneratora z nastrojonym współczynnikiem wzmocnienia funkcji przynależności. Ten model jest kombinacją klasycznego neuronowego modelu i neuronowego modelu z współczynnikiem wzmocnienia funkcji przynależności zależnym od warunków pracy obiektu.Przedstawiono, także wyniki symulacji mające na celu badania efektywności proponowanego regulatora dla...
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Tunable broadband integrated circuits for adaptive optical interconnects
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Targed tracking with adaptive fusionof multiple sensor measurements.
PublikacjaW pracy przedstawiono metodę adaptacyjnej selekcji pomiarów z wielu radarów wykorzystywanych w procesie integracji pomiarów dla śledzenia obserwowanego obiektu. W przypadku dużego zróżnicowania dokładności pomiarów pochodzących z różnych radarów, rezultaty integracji pomiarów nie różnią się znacząco od wyników śledzenia opartego na pomiarach z najbardziej dokładnego źródła.
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Adaptive response of microbial communities to soluble microbial products.
PublikacjaBadano wpływ obecności ubocznych produktów mikroorganizmów na stężenie biomasy osadu czynnego oraz na efektywność obniżenia ładunku BZT5 i ChZT w ściekach syntetycznych. Doświadczenia prowadzono w obecności ubocznych produktów mikroorganizmów (Soluble Microbial Products) oraz w warunkach pozbawionych tych produktów.
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Considerations of Adaptive Digital Communications in Underwater Acoustic Channel
PublikacjaDown-link communication (DLC) and air transportable communication (ATAC) buoys as well as autonomous underwater vehicles (AUV) use acoustic links for gathering oceanographic data from underwater monitoring systems. The underwater channel propagation conditions are diverse in nature and require a special adaptive approach to the communication system design. The article presents a methodology for the communication systems design,...
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Automatic Optimization Of Adaptive Notch Filter’s Frequency Tracking
PublikacjaEstimation of instantaneous frequency of narrowband com- plex sinusoids is often performed using lightweight algo- rithms called adaptive notch filters. However, to reach high performance, these algorithms require careful tuning. The paper proposes a novel self-tuning layer for a recently intr o- ducedadaptive notch filtering algorithm. Analysis shows th at, under Gaussian random-walk type assumptions, the resultin g solution converges...
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Adaptive acoustic crosstalk cancellation in mobile computer device
PublikacjaThe cancellation of acoustic crosstalk is employed to enhance the stereo image in mobile listening conditions. A practical setup employing a mobile computer is employed. The adaptation of the crosstalk cancellation filter to the position of the listener's head is featured. The measurement evaluating the possibility of practical application of the method are described. The head and torso simulator was used for measurements. The...
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Multistage generalized adaptive notch filter with improved accuracy
PublikacjaGeneralized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art GANFs can deliver highly accurate estimates of system variations’ frequency, but underperform in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary...
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Enhanced uniform data sampling for constrained data‐driven modeling of antenna input characteristics
PublikacjaData-driven surrogates are the most popular replacement models utilized in many fields of engineering and science, including design of microwave and antenna structures. The primary practical issue is a curse of dimensionality which limits the number of independent parameters that can be accounted for in the modelling process. Recently, a performance-driven modelling technique has been proposed where the constrained domain of the...
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Application of different sampling procedures in studies of composition of various types of runoff waters - a review
PublikacjaInformacje o metodyce pobierania próbek i położeniu stanowiska obserwacyjnego warunkują prawidłowy wynik analizy i możliwość porównania go z innymi danymi. W publikacji omówiono różne typy próbników stosowanych do pobierania próbek wód spływnych dostających się do środowiska w wyniku zmywania przez opady atmosferyczne zanieczyszczeń z takich powierzchni jak: arterie komunikacyjne, dachy budynków, obszary rolnicze i leśne oraz hałdy...
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Testing and sampling devices for monitoring volatile and semi-volatile organic compounds in indoor air
PublikacjaAdults spend most of their time in enclosed spaces (e.g., apartment, office and public buildings). According to research conducted by scientists, air quality indoors is much worse than the ambient air quality outdoors. Hazardous chemicals found in air indoors can adversely affect the functioning of the human body and cause many respiratory and circulatory diseases. Harmful chemical compounds (mainly volatile organic compounds and...
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Self-Testing of Analog Parts Terminated by ADCs Based on Multiple Sampling of Time Responses
PublikacjaA new approach for self-testing of analog parts terminated by analog-to-digital converters in mixed-signal electronic microsystems controlled by microcontrollers is presented. It is based upon a new fault diagnosis method using a transformation of the set of voltage samples of the time response of a tested analog part to a square impulse into localization curves placed in a multidimensional measurement space. The method can be used...
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Uniform sampling in constrained domains for low-cost surrogate modeling of antenna input characteristics
PublikacjaIn this letter, a design of experiments technique that permits uniform sampling in constrained domains is proposed. The discussed method is applied to generate training data for construction of fast replacement models (surrogates) of antenna input characteristics. The modeling process is design-oriented with the surrogate domain spanned by a set of reference designs optimized with respect to the performance figures and/or operating...
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Multiresolution analysis and adaptive estimation on a sphere using stereographic wavelets
PublikacjaWe 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....
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Adaptive Multiplex Resource Allocation Method for DAB+ Broadcast System
PublikacjaIn this paper an adaptive multiplex resource allocation method for the DAB+ broadcast system is presented. An analysis of content transmitted over different radio programs with respect to their profile is discussed. Simulation results of an adaptive multiplexer, as well as the technological demonstrator, fully compatible with the DAB+ standard, are described. The concept is verified by a subjective quality assessment study of real-time...
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On Adaptive Spectrum Estimation of Multivariate Autoregressive Locally Stationary Processes
PublikacjaAutoregressive modeling is a widespread parametricspectrum estimation method. It is well known that, in the caseof stationary processes with unknown order, its accuracy canbe improved by averaging models of different complexity usingsuitably chosen weights. The paper proposes an extension of thistechnique to the case of multivariate locally stationary processes.The proposed solution is based on local autoregressive...