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Search results for: · COMMUNITY IDENTIFCATION
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Identification of defected sensors in an array of amperometric gas sensors
PublicationPurpose Amperometric gas sensors are commonly used in air quality monitoring in long-term measurements. Baseline shift of sensor responses and power failure may occur over time, which is an obstacle for reliable operation of the entire system. The purpose of this study is to check the possibility of using PCA method to detect defected samples, identify faulty sensor and correct the responses of the sensor identified as faulty. Design/methodology/approach In...
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Musical Instrument Identification Using Deep Learning Approach
PublicationThe work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...
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Local basis function estimators for identification of nonstationary systems
PublicationThe problem of identification of a nonstationary stochastic system is considered and solved using local basis function approximation of system parameter trajectories. Unlike the classical basis function approach, which yields parameter estimates in the entire analysis interval, the proposed new identification procedure is operated in a sliding window mode and provides a sequence of point (rather than interval) estimates. It is...
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On the preestimation technique and its application to identification of nonstationary systems
PublicationThe problem of noncausal identification of a nonstationary stochastic FIR (finite impulse response) sys- tem is reformulated, and solved, as a problem of smoothing of preestimated parameter trajectories. Three approaches to preestimation are critically analyzed and compared. It is shown that optimization of the smoothing operation can be performed adaptively using the parallel estimation technique. The new approach is computationally...
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A New Method of Noncausal Identification of Time-varying Systems
PublicationThe paper shows that the problem of noncausal identification of a time-varying FIR (finite impulse response) sys- tem can be reformulated, and solved, as a problem of smoothing of the preestimated parameter trajectories. Characteristics of the smoothing filter should be chosen so as to provide the best trade- off between the bias and variance of the resulting estimates. It is shown that optimization of the smoothing operation can...
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Identification of plate dynamic parameters for structural health monitoring
PublicationPraca przedstawia technikę wyznaczania parametrów modalnych wykorzystywanych w diagnostyce konstrukcji. Modalna masa, sztywność, tłumienie i postacie drgań wyznaczone są dla prostokątnej stalowej płyty na podstawie badań eksperymentalnych. Teoretyczne parametry modalne otrzymaneo z modelu MES. Omówiony został wpływ dodatkowej masy na parametry modalne konstrukcji.This paper presents a technique for modal parameters estimation for...
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Fast algorithms for identyfication of periodiccaly varying systems.
PublicationPraca dotyczy identyfikacji obiektów o parametrach zmieniających się w sposób okresowy. Zaproponowane algorytmy śledzenia parametrów cechują się niską złożonością obliczeniową, typową dla podejścia gradientowego a zarazem wysoką jakością śledzenia typową dla złożonych algorytmów opartych na metodzie funkcji bazowych.
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A method of software project risk identyfication and analysis
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Identification of Emotional States Using Phantom Miro M310 Camera
PublicationThe purpose of this paper is to present the possibilities associated with the use of remote sensing methods in identifying human emotional states, and to present the results of the research conducted by the authors in this field. The studies presented involved the use of advanced image analysis to identify areas on the human face that change their activity along with emotional expression. Most of the research carried out in laboratories...
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Isolation and identification of Mycobacterium avium subspecies silvaticum from a horse
PublicationPo raz pierwszy opracowano metodę identyfikacji Mycobacterium avium subsp. silvaticum na podstawie analizy sekwencji DNA alfa antygenu. Zastosowanie enzymu HhaI do trawienia produktu PCR z uzyskanego z udziałem starterów specyficznych wobec genu kodującego alfa antygen pozwoliło na identyfikację Mycobacterium avium subsp. silvaticum. Opracowana nowa metoda pozwala na prowadzenie badań epidemiologicznych bezpośrednio z próbek pochodzących...
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Identification of advanced manufacturing systems change factors - methodical aspects
PublicationCelem publikacji jest przedstawienie założeń metodyki identyfikacji kluczowych czynników zmian zaawansowanego systemu produkcyjnego. W publikacji przedstawiono zmiany występujące w otoczeniu przedsiębiorstwa związane z następującymi procesami globalizacji, wirtualizacji, sieciowości i narastającym znaczeniem inteligentnych organizacji. Wyróżniono wielowymiarowe przestrzenie otoczenia, zarówno tego szerszego, jak i bezpośredniego...
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Identification of volatile compounds based on the electrocatalytic gas sensor responses
PublicationMeasured response in case of electrocatalytic gas sensors is in form of a voltamperometric characteristic. Current-voltage (I-V) response shape depends on the gas type and its concentration. Such response contains significantly more information comparing with typical electrochemical sensors, but is quite difficult to analyze. When I-V curve contains current peaks, position of such peaks can be used...
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The method of location and identification of weak electric field source in seawater
PublicationThe paper presents the method and measurement system that allows to lacate the detected object and to identify parameters of its simplified model in form of a current dipole.
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A role of destructive and non-destructive tests in creep damage Identification
PublicationPrzedstawiono wyniki badań mjących zilustrować i określić rolę badań niszczących i nieniszczących w identyfikowaniu degradacji po pełzaniu
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On joint order and bandwidth selection for identification of nonstationary autoregressive processes
PublicationWhen identifying a nonstationary autoregressive process, e.g. for the purpose of signal prediction or parametric spectrum estimation, two important decisions must be taken. First, one should choose the appropriate order of the autoregressive model, i.e., the number of autoregressive coefficients that will be estimated. Second, if identification is carried out using the local estimation technique, such as the localized version of...
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Identification of nonstationary processes using noncausal bidirectional lattice filtering
PublicationThe problem of off-line identification of a nonstationary autoregressive process with a time-varying order and a time-varying degree of nonstationarity is considered and solved using the parallel estimation approach. The proposed parallel estimation scheme is made up of several bidirectional (noncausal) exponentially weighted lattice algorithms with different estimation memory and order settings. It is shown that optimization of...
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Determination and identification of organic acids in wine samples. Problems and challenges.
PublicationFor long time, organic acids were underestimated. However, during last two decades there is an increasing interest of natural compounds having antioxidant, antimicrobial and anti-inflammatory properties thus organic acids are very preferable. Wine stands as one of the sources of organic acids since they are responsible for its organoleptic and aestethic character. Nevertheless, it is important to not exceed acceptable level of...
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Fast Basis Function Estimators for Identification of Nonstationary Stochastic Processes
PublicationThe problem of identification of a linear nonsta-tionary stochastic process is considered and solved using theapproach based on functional series approximation of time-varying parameter trajectories. The proposed fast basis func-tion estimators are computationally attractive and yield resultsthat are better than those provided by the local least squaresalgorithms. It is shown that two...
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A new assay for the simultaneous identification and differentiation of Klebsiella oxytoca strains.
PublicationKlebsiella oxytoca is the second most frequently identified species of Klebsiella isolated from hospitalized patients. Klebsiella spp. is difficult to identify using conventional methods and is often misclassified in clinical microbiology laboratories. K. oxytoca is responsible for an increasing number of multi-resistant infections in hospitals because of insufficient detection and identification. In this study, we propose a new...
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Frequency response based identification of fractional order dynamical systems
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Supervised Classification Problems–Taxonomy of Dimensions and Notation for Problems Identification
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Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
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METHODS FOR THE IDENTIFICATION OF CYBER RISKS: AN ANALYSIS BASED ON PATENT DATA
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Identification of slide bearing main parameters using neural networks.
PublicationWykazano, że sieci neuronowe jak najbardziej nadają się do identyfikacji głównych parametrów geometrycznych i ruchowych hydrodynamicznych łożysk ślizgowych.
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Adaptation of various persons' identification techniques as a solution for security and safety
PublicationPrzedstawiono różne metody identyfikacji osób w oparciu o ich cechy biometryczne w zastosowaniu do bezpieczeństwa i zabezpieczeń. Takimi biometrycznymi cechami mogą być właściwości fizjologiczne jak odciski palców, kształt dłoni, właściwości tęczówki jak również cechy behawioralne jak sposób pisania lub wypowiadania się.
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A video monitoring system using ontology-driven identification of threats
PublicationIn this paper, we present a video monitoring systemthat leverages image recognition and ontological reasoningabout threats. In the solution, an image processing subsystemuses video recording of a monitored area and recognizesknown concepts in scenes. Then, a reasoning subsystem uses anontological description of security conditions and informationfrom image recognition to check if a violation of a conditionhas occurred. If a threat...
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Continuous-time delay system identification insensitive to measurement faults
PublicationW pracy wykorzystuje się algorytmy identyfikacji do estymacji parametrów systemów ciągłych z opóźnieniem. Zastosowanie filtrów całkujących ze skończonym horyzontem obserwacji pozwala przekształcić równanie różniczkowe opisujące system ciągły do użytecznej postaci regresyjnej z czasem dyskretnym. Uzyskany w ten sposób i zachowujący oryginalną parametryzację model dyskretny daje się identyfikować stosując klasyczną metodę najmniejszych...
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Identification and localization of organic coating degradation onset by impedance imaging
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A Triplet-learnt Coarse-to-Fine Reranking for Vehicle Re-identification
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Software tools for identification, visualization and analysis of protein tunnels and channels
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Chemical identification of rubber fender sample and hardness and density measurements
PublicationScope of testing: Chemical identification of rubber fender sample and hardness and density measurements. - Raport z badań zleconych - Numer umowy: 031178
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A new assay for simultaneous identification and differentiation of Klebsiella oxytoca strains
PublicationBacterial strain typing, or identifying bacteria at the strain level, is particularly important for diagnosis, treatment, and epidemiological surveillance of bacterial infections. This is especially the case for bacteria exhibiting high levels of antibiotic resistance or virulence, and those involved in nosocomial or pandemic infections. Strain typing also has applications in studying bacterial population dynamics.
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Spectrum-based modal parameters identification with Particle Swarm Optimization
PublicationThe paper presents the new method of the natural frequencies and damping identification based on the Artificial Intelligence (AI) Particle Swarm Optimization (PSO) algorithm. The identification is performed in the frequency domain. The algorithm performs two PSO-based steps and introduces some modifications in order to achieve quick convergence and low estimation error of the identified parameters’ values for multi-mode systems....
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Smooth least absolute deviation estimators for outlier-proof identification
PublicationThe paper proposes to identify the parameters of linear dynamic models based on the original implementation of least absolute deviation estimators. It is known that the object estimation procedures synthesized in the sense of the least sum of absolute prediction errors are particularly resistant to occasional outliers and gaps in the analyzed system data series, while the classical least squares procedure unfortunately becomes...
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Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio
PublicationThe purpose of this paper is to introduce neural network-based methods that surpass state-of-the-art (SOTA) models, either by training faster or having simpler architecture, while maintaining comparable effectiveness in musical instrument identification in polyphonic music. Several approaches are presented, including two authors’ proposals, i.e., spiking neural networks (SNN) and a modular deep learning model named FMCNN (Fully...
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Experimental and numerical identification of separation zones in the cent-rifugal compressor
PublicationW pracy przedstawiono analizę przepływu w obszarze koła wirnikowego oraz dyfuzora bezłopatkowego sprężarki powietrza. Wyniki obliczeń w ramach modelu 3D (FLUENT 5.5) porównano z wynikami badań laboratoryjnych na stanowisku sprężarkowym Katedry Sprężarek w Sankt Petersburgu. Celem porównania jest ocena możliwości identyfikacji stref przepływu z oderwaniem, w ramach modeli dostępnych w wykorzystanym programie obliczeniowym. W wyniku...
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Piece-wise constant approximation method of identification of RTS noise
PublicationPrzedstawiono nową metodę wydzielania szumów RTS z całkowitych szumów przyrządów półprzewodnikowych. Metoda ta oparta jest na aproksymacji liniowo odcinkowej przebiegu szumowego.Przedstawiono wyniki zastosowania tej metody do wydzielenia dwupoziomowego szumu RTS z szumu przyrządu półprzewodnikowego.
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Identification and validation of damage parameters for elasto-viscoplastic Chaboche model
PublicationArtykuł omawia procedurę identyfikacji parametrów zniszczenia w prawie Chabocha ze zniszczeniem. Proponowane podejście jest zilustrowane przykładami obliczeniowymi w programie MSC.Marc.
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Frequencies selection for accelerated cnls parameter identification of anticorrosion coatings
PublicationArtykuł przedstawia zmodyfikowaną metodę CNLS dopasowywania widma impedancyjnego dla identyfikacji parametrów obiektów technicznych. Liczba częstotliwości pomiarowych została ograniczona do liczby identyfikowanych parametrów, a ich wartości są dobierane w oparciu o różne kryteria. Jako obiekt testowy wybrano model powłoki antykorozyjnej. Wyniki symulowanej identyfikacji przeanalizowano pod kątem dokładności i zmniejszenia czasu...
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Identification of volatile compounds in raw spirits of different organoleptic quality
PublicationGłównym celem prezentowanych badań było określenie składu lotnej frakcji destylatów rolniczych, a następnie wyodrębnienie profili zapachowych destylatów rolniczych różniących się właściwościami sensorycznymi ocenionymi na podstawie klasycznej analizy sensorycznej. Profile zapachowe tworzono z wykorzystaniem kapilarnej chromatografii gazowej połączonej ze spektrometrią mas (GC-MS). Do ekstrakcji lotnych związków zastosowano technikę...
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On noncausal weighted least squares identification of nonstationary stochastic systems
PublicationIn this paper, we consider the problem of noncausal identification of nonstationary, linear stochastic systems, i.e., identification based on prerecorded input/output data. We show how several competing weighted (windowed) least squares parameter smoothers, differing in memory settings, can be combined together to yield a better and more reliable smoothing algorithm. The resulting parallel estimation scheme automatically adjusts...
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Identification of inherent noise components of semiconductor devices on an example of optocouplers
PublicationIn the paper, a method of estimation of parameters of Gaussian and non-Gaussian components in the noise signal of semiconductor devices in a frequency domain is proposed. The method is based on composing estimators of two spectra, corresponding to noise (Gaussian component) and two-level RTS noise (non-Gaussian component). The proposed method can be applied for precise evaluation of the corner RTS frequency fRTS in the noise...
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Variable-structure algorithm for identification of quasi-periodically varying systems
PublicationThe paper presents a variable-structure version of a generalized notchfiltering (GANF) algorithm. Generalized notch filters are used for identification of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The proposed algorithm is a cascade of two GANF filters: a multiple-frequency "precise" filter bank, used for precise system tracking, and a...
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The use of spectrometric diagnostics in identification of the technical condition of tribological systems
PublicationThe paper presents, as an effect of the analysis of investigation results, a possibility of using the spectrometric diagnostics in the tribological system technical condition supervision arrangement. A model, based on the emission of solid particles in tribological system operation, allows to identify the system technical condition. After the analysis of tests carried out with the use of that model, it has been found that the content...
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Implementation of localization and identification of ferromagnetic objects algorithm in labview enviroment
PublicationThe problem with detecting dangerous objects is still a matter of concern today. One of the methods of detecting dangerous objects is the magnetic method. While measuring a magnetic field in the surrounding of objects with ferromagnetic properties, it is possible to detect, localize and identify such object.
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Immunohistochemical identification of aquaporin 2 in the kidneys of young beef cattle
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System of wireless magnetic sensors for detection and identification of ferromagnetic vehicles
PublicationThe paper presents the results of deformation of the Earth's magnetic field by land vehicles. Basing on the analysis of the shape of the magnetic field deformation, it is possible to detect and identify a vehicle. In order to eliminate the interference of the Earth's magnetic field by the environment, the measurements were performed in a differential configuration. Under a development project a wireless system of magnetic sensors...
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Hardware Implementation of Real Time Cavity Parameters Identification System
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A Triplet-Learnt Coarse-to-Fine Reranking for Vehicle Re-identification
PublicationVehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep...
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Mitochondrial D-loop informative SNPs in identification of dog’s breed
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