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Search results for: identification
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Gradient based basis function algorithms for identification of quasi periodically varying processes.
PublicationW pracy przedstawiono problem identyfikacji systemów, których parametry zmieniają się w sposób pseudookresowy. Pokazano sposób, w jaki można modelować takie systemy przy zastosowaniu metody harmonicznych funkcji bazowych.Przedstawiono dwa sposoby dekompozycji (struktura szeregowa i równoległa) takich układów na elementy związane z poszczególnymi funkcjami bazowymi. Zaprezentowany został sposób śledzenia częstotliwości funkcji...
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Identification of inertia, damping and stiffness parameters for low pressure steam turbine framework.
PublicationW pracy przedstawiono metodę identyfikacji masy tłumienia i sztywności kadłuba części niskoprężnej turbiny parowej 200MW.
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Optimal input design using sensitivity criterion for parametric identification of pharmacokinetic models
PublicationPrzedstawiono identyfikację parametryczną kompartmentowych modeli SISO zmiennych stanu systemów farmakokinetycznych. Struktura modelu formułowana jest na podstawie wiedzy a priori. Początkowe estymaty parametrów obliczane są w oparciu o pomiary zgromadzone w eksperymencie intuicyjnym. Na ich podstawie projektowane jest pobudzenie optymalne, które zapewnia najlepszą dokładność estymat parametrów. Przedstawiono optymalizację czułościową...
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Generalized adaptive notch and comb filters for identification of quasi-periodically varying systems
PublicationW artykule wprowadzono pojęcie obiektów pseudookresowych o parametrach będących liczbami rzeczywistymi. Pokazanometody oparte na metodzie funkcji bazowych pozwalające na identyfikację takich obiektów. Przedstawiono związekpomiędzy zaprojektowanymi algorytmami a klasycznymi filtrami wycinającymi typu notch.
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Identification of quasi-periodically varying systems using the combined nonparametric/parametric approach
PublicationW artykule przedstawiono tzw. uogólniony periodogram pozawlający na określenie liczby funkcji bazowych opisujących obiekt o parametrach zmieniających się w sposób pseudookresowy. Pokazano w jaki sposób określić wartości początkowe dla algorytmów opartych na metodzie funkcji bazowych na jego podstawie. Skuteczność zaproponowanych metod zilustrowano przykładami.
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System identification theory-based estimation of underwater acoustic channel for broadband communications.
PublicationPłytki kanał podwodny jest niestacjonarny z powodu wielokrotnych odbić fal dźwiękowych od powierzchni wody oraz ruchu nadajnika i odbiornika systemu komunikacyjnego. Dla zapewnienia szybkiej transmisji danych niezbędna jest estymacja kanału oparta na equalizacji adaptacyjnej. W systemach komunikacji podwodnej stosowane są zazwyczaj equalizery DFE z zaimplementowanymi algorytmami najmniejszych kwadratów: LMS oraz RLS.W artykule...
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Identification of anisakid nematodes from the Southern Baltic Sea usingPCR-based methods
PublicationZaproponowano metodę identyfikacji nicieni gatunków Anisakis, Hysterothyla-cium, Contracaecum przy użyciu techniki PCR/RFLP.
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Comparative studies of the Acinetobacter genus and the species identification method based on the recA sequences
PublicationZaproponowano metodę genotypowania bakterii rodzaju Acinetobacter, opartą o analizę sekwencji genów recA, amplifikację fragmentów genu recA i analizę profili fragmentów restrykcyjnych po cięciu produktów reakcji PCR enzymami restrykcyjnymi (recA PCR/RFLP). Profile RFLP otrzymane za pomocą enzymu Tsp509I są użyteczne w identyfikacji poszczególnych gatunków bakterii rodzaju Acinetobacter. Na podstawie analizy otrzymanych sekwencji...
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Virtual instrument using bilinear transformation for parameter identification of high impedance objects.
PublicationArtykuł przedstawia przyrząd wirtualny do pomiaru parametrów obiektów wysokoimpedancyjnych (/Zx/<10GOhm). Opracowano metodę identyfikacji elementów składowych dwójników wieloelementowych opartą na przekształceniu biliniowym.Metoda jest predestynowana do identyfikacji parametrów różnych powłok antykorozyjnych. Dla identyfikacji konieczne są wektorowe pomiary impedancji obiektu na kilku wybranych częstotliwościach, których liczba...
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ICT-supported spatial identification of natural and cultural values as a tool in development policies
PublicationW ciagu ostatnich dwudziestu lat świat stał się miejscem gwałtownego postępu technologicznego, mentalnego i społecznego. Przesył danych geoprzestrzennych staje się coraz łatwiejszy a dostęp coraz bardziej powszechny. Stwarza to nowe możliwości konstruowania polityk rozwoju.Artykuł przedstawia kwestie wykorzystania technologii teleinformatycznych w prowadzeniu polityki rozwoju - na przykładzie przetwarzania danych o środowisku przyrodniczym...
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Peripheral industrial NUTS 3 sub-regions in the European Union – identification and typology
PublicationA common phenomenon of development is the big difference in its levels, especially between metropolitan and non-metropolitan areas. Non-metropolitan areas are also very different. In some of them, industry plays a big role. European Union’s NUTS 3 non-metropolitan low developed sub-regions, whose gross domestic product per capita in 2011 was below 75% of the EU average, were the subject of research. It is based on the data and...
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ADAPTIVE IDENTIFICATION OF TIME-VARYING IMPULSE RESPONSE OF UNDERWATER ACOUSTIC COMMUNICATION CHANNEL
PublicationThe transmission properties of underwater acoustic communication channel can change dynamically due to the movement of acoustic system transmitter and receiver or underwater objects reflecting transmitted signal. The time-varying impulse response measurement and estimation are necessary to match the physical layer of data transmission to instantaneous channel propagation conditions. Using the correlative measurement method, impulse...
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Identification of dynamic parameters in the context of diagnostics of steel tank with different level of liquid.
PublicationThe paper presents an experimental study to identify the dynamic parameters of a water-filled tank model. The experimental modal analysis approach involving the excitation at one point of the structure and acquisition of vibra tions at selected points distri buted over the tank surface allowed to determine the resonance frequencies, mode shapes and damping ratios. The main aim of the research was to examine the influence of...
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Identification of Unstable Reference Points and Estimation of Displacements Using Squared Msplit Estimation
PublicationThe article presents a new version of the method for estimating parameters in a split functional model, which enables the determination of displacements of geodetic network points with constrained datum. The main aim of the study is to present theoretical foundations of Msplit CD estimation and its basic properties and possible applications. Particular attention was paid to the efficacy of the method in the context of geodetic...
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Understanding Knowledge-Intensive Business Services. Identification, Systematization, and Characterization of Knowledge Flows
PublicationThis book contributes to an improved understanding of knowledge-intensive business services and knowledge management issues. It offers a complex overview of literature devoted to these topics and introduces the concept of ‘knowledge flows’, which constitutes a missing link in the previous knowledge management theories. The book provides a detailed analysis of knowledge flows, with their types, relations and factors influencing...
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Preliminary Identification of Quantitative Factors Determining the Duration of Court Proceedings in Commercial Cases
PublicationPurpose: The aim of the article was to identify factors that are linear combinations of the variables under scrutiny that affect the duration of court proceedings. Design/Methodology/Approach: This research was conducted on commercial cases, based on the Principal Components Analysis (PCA). The original variables were grouped into factors that are correlated with each other. The Kaiser Criterion (own value >1) was chosen as the...
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Rapid Antenna Optimization with Restricted Sensitivity Updates by Automated Dominant Direction Identification
PublicationMeticulous tuning of geometry parameters turns pivotal in improving performance of antenna systems. It is more and more often realized using formal optimization methods, which is demonstrably the most efficient way of handling multiple design variables, objectives, and constraints. Although in some cases a need for launching global search arises, a typical design scenario only requires local optimization, especially when a decent...
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Parameters’ Identification of Perzyna and Chaboche Viscoplastic Models for Aluminum Alloy at Temperature of 120◦C
PublicationThe main purpose of this paper is the parameters identification of the Perzyna and the Chaboche models for the aluminum alloy at elevated temperature. The additional purpose is comparison of the results for these viscoplastic models. The results have been verified by the numerical simulation of the laboratory tests. The material parameters have been calculated on the basis of the uniaxial tension test. The determination of the...
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Identification of Bodner-Partom Viscoplastic Model Parameters for Some Aluminum Alloys at Elevated Temperature
PublicationThe paper presents the identification process of inelastic (viscoplastic) properties for two aluminum alloys at a temperature of 120°C. The material parameters are calculated on the basis of uniaxial tension tests. Twelve tests at elevated temperature for each alloy have been performed—three tests for four different strain rates. The main purpose of the paper is to identify the Bodner-Partom viscoplastic model parameters for two...
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Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing
PublicationIt is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology...
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Deduplication of Position Data and Global Identification of Objects Tracked in Distributed Vessel Monitoring System
PublicationVessel monitoring systems (VMS) play a very important role in safety navigation. In most cases, their structure is distributed and they are based on two data sources, namely Automatic Identification System (AIS) and Automatic Radar Plotting Aids (ARPA). Such approach results in several objects identification and position data duplication problems, which need to be solved in order to ensure the correct performance of a given VMS....
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The fast identification of explosives, natcotics and other chemicals carried on board of ships or transported in containers
PublicationThe fast identification of explosives, narcotics and other chemicals carried on board of ships or transported in containers to the harbors is an important problem of maritime security. Raman spectroscopy is an advanced technique used in state-of-the art laboratories for fast identification of chemicals. No sample preparation is required, and identification can be carried out through transparent packing, such as plastic or glass,...
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Simple Millimeter Wave Identification System Based on 60 GHz Van Atta Arrays
PublicationThe paper presents a proof-of-concept of a millimeter-wave identification system based on Van Atta array tags in the 60 GHz band. For interrogation of the tags, a vector network analyzer and a measurement transceiver were employed in alternative test configurations. The design, fabrication and measurements of co- and cross-polarized Van Atta arrays are presented in the paper. They can be treated as simple chipless RFID tags with...
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Fast Algorithms for Identification of Time-Varying Systems with Both Smooth and Discontinuous Parameter Changes
PublicationThe problem of noncausal identification of a time-varying linear system subject to both smooth and occasional jump-type changes is considered and solved using the preestimation technique combined with the basis function approach to modeling the variability of system parameters. The proposed estimation algorithms yield very good parameter tracking results and are computationally attractive.
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TOXIC GASES IDENTIFICATION USING SINGLE ELECTROCATALYTIC SENSOR RESPONSES AND ARTIFICIAL NEURAL NETWORK
PublicationThe need for precise detection of toxic gases drives development of new gas sensors structures and methods of processing the output signals from the sensors. In literature, artificial neural networks are considered as one of the most effective tool for the analysis of gas sensors or sensors arrays responses. In this paper a method of toxic gas components identification using a electrocatalytic gas sensor as a detector and an artificial...
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Primary role identification in e-mail networks using pattern subgraphs and sequence diagrams
PublicationSocial networks often forms very complex structures that additionally change over time. Description of actors' roles in such structures requires to take into account this dynamics reflecting behavioral characteristics of the actors. A role can be defined as a sequence of different types of activities. Various types of activities are modeled by pattern subgraphs, whereas sequences of these activities are modeled by sequence diagrams....
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PCR-RFLP assays for species-specific identification of fungi belonging to Scopulariopsis and related genera
PublicationFungi of the Scopulariopsis genus, commonly found in the environment, are opportunistic pathogens that can cause various types of human infections. So far, no efficient molecular method has been developed for species differentiation among Scopulariopsis and related genera. In order to advance this field, we have evaluated performance of polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assays, based...
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Locally Adaptive Cooperative Kalman Smoothing and Its Application to Identification of Nonstationary Stochastic Systems
PublicationOne of the central problems of the stochastic approximation theory is the proper adjustment of the smoothing algorithm to the unknown, and possibly time-varying, rate and mode of variation of the estimated signals/parameters. In this paper we propose a novel locally adaptive parallel estimation scheme which can be used to solve the problem of fixed-interval Kalman smoothing in the presence of model uncertainty. The proposed solution...
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Molecular identification and genotyping of Staphylococci: genus, species, strains, colnes, lineages, and interspecies exchanges
PublicationStaphylococci are increasingly recognized as etiological agents of many opportunistic human and animal infections, emphasizing the need for a rapid and accurate identification, even to a genotypical level of these bacteria. In the recent years, there has been a significant progress in typing and phylogenetic study of Staphylococcus species. Here, we describe molecular methods used in taxonomy as well as staphylococci characterization....
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Adaptive identification of sparse underwater acoustic channels with a mix of static and time-varying parameters
PublicationWe consider identification of sparse linear systems with a mix of static and time-varying parameters. Such systems are typical in underwater acoustics (UWA), for instance, in applications requiring identi- fication of the acoustic channel, such as UWA communications, navigation and continuous-wave sonar. The recently proposed fast local basis function (fLBF) algorithm provides high performance when identi- fying time-varying systems....
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Application of twin-plane ECT sensor for identification of the internal imperfections inside concrete beams
PublicationThe main purpose of this paper is to investigate application of special construction of Electrical Capacitance Tomography (ECT) sensor to concrete beams internal homogeneity tests. Identification of internal imperfection inside the concrete beams is one of the main problems related to analysis of the construction structure bearing capacity. Therefore, this paper shows attempts to study the measurement prospects for this non-invasive,...
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Electronic nose algorithm design using classical system identification for odour intensity detection
PublicationThe two elements considered crucial for constructing an efficient environmental odour intensity monitoring systems are sensors and algorithms typically addressed to as electronic nose sensor (e-nose). Due to operational complexity of biochemical sensors developed in human bodies algorithms based on computational methods of artificial intelligence are typically considered superior to classical model based approaches in development...
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Distribution of relaxation times as a method of separation and identification of complex processes measured by impedance spectroscopy
PublicationImpedance spectroscopy is one of the most commonly performed measurements to characterize electronic and electrochemical systems. Impedance spectra have limited resolution and many different processes may overlap what could be the reason of obstructions in its proper later analysis. Up to date, there are three approaches to solve this problem: examining impedance spectra itself, fitting spectra with equivalent circuits, and calculating...
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Modal properties identification of a novel sandwich footbridge – Comparison of measured dynamic response and FEA
PublicationA modern sandwich composite footbridge made of high-tech materials, being an example of practical application of laminated composites in civil engineering, is presented. The in situ non-destructive testing of the footbridge, aiming to identify modal properties and pedestrian comfort, is described. The measured eigenmodes and eigenfrequencies are compared with numerically estimated values. Finite element analyses of the footbridge...
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Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System
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Can an Integrative SNP Approach Substitute Standard Identification in Comprehensive Case/Control Analyses?
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Experimental evaluation of high frequency side scan sonar as object search and identification tool
PublicationPraca prezentuje wyniki badań laboratoryjnych sonaru bocznego jako narzędzia dla pojazdu podwodnego, służącego do poszukiwań i identyfikacji obiektów leżących na dnie, w bliskich odległościach.
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Identification of Secreted Exoproteome Fingerprints of Highly-Virulent and Non-Virulent Staphylococcus aureus Strains
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Identification of serum proteome signatures of locally advanced and metastatic gastric cancer: a pilot study
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Is the Identification of SNP-miRNA Interactions Supporting the Prediction of Human Lymphocyte Transcriptional Radiation Responses?
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Identification of the metabolic fingerprints in women with polycystic ovary syndrome using the multiplatform metabolomics technique
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Identification of chemical pollution problems and causes in the Baltic See in relation to socio-economic drivers
PublicationOpisano możliwość wykorzystania nowego narzędzia do zintegrowanej oceny stanu środowiska w akwenie Morza Bałtyckiego. Takie możliwości stwarza narzędzie znane jako DPSIR czyli Drivers (sfery działalności człowieka będące źródłem potencjalnych zznieczyszczeń)-Pressures (ksenobiotyki i specyficzne czynniki szkodliwe emitowane do środowiska)-Stata (stann środowiska)- Impact (efekty niekorzystego oddziaływania na część ożywioną i nieożywioną...
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Multidimensional Gas Chromatography in Essential Oil Analysis. Part 2: Application to Characterisation and Identification
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Identification of Leaf Rust Resistance Genes in Selected Wheat Cultivars and Development of Multiplex PCR
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Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
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Significant Parameters Identification for Optimal Modelling of the Harp-Type Flat-Plate Solar Collector
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Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
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Identification of antioxidant polyphenolics from Jasione montana based on a preliminary LC-MS profiling
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Aquaporin 2: Identification and analysis of expression in calves’ urine during their first month of life
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Identification of TRPM6 and TRPM7 expression changes in response to a diet supplemented with inulin in porcine kidney
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