Filtry
wszystkich: 4780
-
Katalog
- Publikacje 3336 wyników po odfiltrowaniu
- Czasopisma 197 wyników po odfiltrowaniu
- Konferencje 7 wyników po odfiltrowaniu
- Wydawnictwa 2 wyników po odfiltrowaniu
- Osoby 79 wyników po odfiltrowaniu
- Projekty 3 wyników po odfiltrowaniu
- Kursy Online 51 wyników po odfiltrowaniu
- Wydarzenia 29 wyników po odfiltrowaniu
- Dane Badawcze 1076 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: open-set identification
-
Open Philosophy
Czasopisma -
Physics Open
Czasopisma -
Talanta Open
Czasopisma -
AERA Open
Czasopisma -
Open Quaternary
Czasopisma -
CMAJ open
Czasopisma -
OTO Open
Czasopisma -
CJC Open
Czasopisma -
Epilepsia Open
Czasopisma -
BJGP Open
Czasopisma -
Open Medicine
Czasopisma -
Pharmacoeconomics-Open
Czasopisma -
JCIS Open
Czasopisma -
BDJ Open
Czasopisma -
Burns Open
Czasopisma -
Open Mind
Czasopisma -
JTCVS Open
Czasopisma -
JAMIA Open
Czasopisma -
Massively parallel linear-scaling Hartree–Fock exchange and hybrid exchange–correlation functionals with plane wave basis set accuracy
PublikacjaWe extend our linear-scaling approach for the calculation of Hartree–Fock exchange energy using localized in situ optimized orbitals [Dziedzic et al., J. Chem. Phys. 139, 214103 (2013)] to leverage massive parallelism. Our approach has been implemented in the ONETEP (Order-N Electronic Total Energy Package) density functional theory framework, which employs a basis of non-orthogonal generalized Wannier functions (NGWFs) to achieve...
-
Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data
PublikacjaObjective monitoring of the real estate value is a requirement to maintain balance, increase security and minimize the risk of a crisis in the financial and economic sector of every country. The valuation of real estate is usually considered from two points of view, i.e. individual valuation and mass appraisal. It is commonly believed that Automated Valuation Models (AVM) should be devoted to mass appraisal, which requires a large...
-
Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind turbine blade
PublikacjaThe uncertainty afflicting modal parameter estimates stems from e.g., the finite data length, unknown, or partly measured inputs and the choice of the identification algorithm. Quantification of the related errors with the statistical Delta method is a recent tool, useful in many modern modal analysis applications e.g., damage diagnosis, reliability analysis, model calibration. In this paper, the Delta method-based uncertainty...
-
Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier
PublikacjaThe contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...
-
Primary role identification in e-mail networks using pattern subgraphs and sequence diagrams
PublikacjaSocial 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....
-
Uncertainty Quantification in Experimental Structural Dynamics Identification of Composite Material Structures
PublikacjaComposite materials are widely used in manufacture of aerospace and wind energy structural components. These load carrying structures are subjected to dynamic time-varying loading conditions. Robust structural dynamics identification procedure impose tight constraints on the quality of modal models estimates obtained from vibration experiments. Modal testing results are influenced by numerous factors introducing uncertainty to...
-
Optimally regularized local basis function approach to identification of time-varying systems
PublikacjaAccurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state of the art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately...
-
Two-Stage Identification of Locally Stationary Autoregressive Processes and its Application to the Parametric Spectrum Estimation
PublikacjaThe problem of identification of a nonstationary autoregressive process with unknown, and possibly time-varying, rate of parameter changes, is considered and solved using the parallel estimation approach. The proposed two-stage estimation scheme, which combines the local estimation approach with the basis function one, offers both quantitative and qualitative improvements compared with the currently used single-stage methods.
-
Adaptive Identification of Underwater Acoustic Channel with a Mix of Static and Time-Varying Parameters
PublikacjaWe consider the problem of identification of communication channels with a mix of static and time-varying parameters. Such scenarios are typical, among others, in underwater acoustics. In this paper, we further develop adaptive algorithms built on the local basis function (LBF) principle resulting in excellent performance when identifying time-varying systems. The main drawback of an LBF algorithm is its high complexity. The subsequently...
-
Calculations of material factors for a set of 20 thermistors
Dane BadawczeThe presented data set is part of the research aimed at determining the actual characteristics of each thermistor in a package of twenty NTC10k type sensors.
-
International Journal of Radio Frequency Identification Technology and Applications
Czasopisma -
Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms
Publikacja -
Multiple bifurcation in the solution set of the von Karman equations with S^{1}-symmetries
PublikacjaRozważmy cienką, sprężystą, kołową płytę, położoną na sprężystym podłożu, poddawaną działaniu sił ściskających koncentrycznie wzdłuż jej brzegu. Formy równowagi takiej płyty są rozwiązaniami równań von Karmana z dwoma parametrami określonych na dysku w R^{2}. Są to równania różniczkowe cząstkowe rzędu czwartego. Można je zapisać jako równanie operatorowe F(x,p)=0 w przestrzeniach Höldera, gdzie zmienna x odpowiada formom równowagi...
-
Determination of magnetisation conditions in a Double-Core Barkhausen Noise measurement set-up
PublikacjaThe magnetic Barkhausen effect is useful forassessing 1D and 2D stress states of ferromagnetic steelobjects. However, its extension to technically importantmaterials, such as duplex anisotropic steels, remains challenging. The determination of magnetisation inside the studied object and the electromagnet for various geometries, materials and magnetisation angles is a key issue.Three-dimensional, dynamic finite element analysis...
-
Intelligent acquisition of audio signals, employing neutral networks and rough set algorithms
PublikacjaAlgorytmy oparte na sztucznych sieciach neuronowych i metodzie zbiorówprzybliżonych zostały zastosowane do lokalizacji sygnałów fonicznych obar-czonych pasożytniczym szumem i rewerberacjami. Informacja o kierunku napły-wania dźwięku była uzyskiwana na wyjściach tych algorytmów na podstawie re-prezentacji parametrycznej. Przedstawiono wyniki eksperymentalne i przepro-wadzono ich dyskusję.
-
Investigation of some taste substances using a set of electrodes with lipid-modified membranes.
PublikacjaSkonstruowano 5-cio kanałaowy sensor smaku oparty na elektordach jonoselektywnych z membranami polimerowymi modyfikowanymi lipidem. Badano potencjał elektrod w roztworach kwaśnych zawierających różne stężenie kwasu cytrynowego, solnego i octowego. Sensor jest czuły na stężenia substancji kwaśnych z wyjątkiem kwasu octowego. Testowano nowy typ elektrod zawierających polimer przewodzący PEDT/PSS i kwas oleinowy. Stwierdzono, że...
-
Identification of residual force in static load tests on instrumented screw displacement piles
PublikacjaOccurrence of the so-called residual force of an unknown value significantly disturbs interpretation of static load tests performed on piles equipped with additional measuring instruments. Screw displacement piles are the piling technology in which the residual force phenomenon is very common. Its formation mechanism is closely related to the installation method of this type of piles, which initiates generation of negative pile...
-
Identification of Bodner-Partom Viscoplastic Model Parameters for Some Aluminum Alloys at Elevated Temperature
PublikacjaThe 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...
-
Material Parameters Identification of Historic Lighthouse Based on Operational Modal Analysis
PublikacjaIn the present paper, the identification of the material parameters of a masonry lighthouse is discussed. A fully non-invasive method was selected, in which the material properties were determined via numerical model validation applied to the first pair of natural frequencies and their related mode shapes, determined experimentally. The exact structural model was built by means of the finite element method. To obtain experimental...
-
A new assay based on terminal restriction fragment length polymorphism of homocitrate synthase gene fragments for Candida species identification
PublikacjaCandida sp. have been responsible for an increasing number of infections, especially in patients with immunodeficiency. Species specific differentiation of the Candida sp. is difficult in routine diagnosis. This identification can have a highly significant association in therapy and prophylaxis. This work has shown a new application of terminal restriction fragment length polymorphism (t-RFLP) method in molecular identification...
-
Optimal and suboptimal algorithms for identification of time-varying systems with randomly drifting parameters
PublikacjaNoncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothingis based on both past and future data, it offers increased accuracy compared to causal (tracking) estimation schemes, incorporating past data only. It is shown that efficient smoothing variants of the popular exponentially weighted least squares and Kalman filter-based parameter trackers can...
-
A method of RTS noise identification in noise signals of semiconductor devices in the time domain
PublikacjaIn the paper a new method of Random Telegraph Signal (RTS) noise identification is presented. The method is based on a standardized histogram of instantaneous noise values and processing by Gram-Charlier series. To find a device generating RTS noise by the presented method one should count the number of significant coefficients of the Gram-Charlier series. This would allow to recognize the type of noise. There is always one (first)...
-
LOS and NLOS identification in real indoor environment using deep learning approach
PublikacjaVisibility conditions between antennas, i.e. Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) can be crucial in the context of indoor localization, for which detecting the NLOS condition and further correcting constant position estimation errors or allocating resources can reduce the negative influence of multipath propagation on wireless communication and positioning. In this paper a deep learning (DL) model to classify LOS/NLOS...
-
Classification of Urban Regeneration Participants as a Basis for Identification of Construction Investment's Risk Sources
PublikacjaOn the basis of the conducted research it can be concluded that the majority of the existing urban regeneration problems are revealed by the lack of an in-depth analysis of sources and risk factors. For the above reasons, the subject of this study is classification of urban regeneration's participants as a basis for identification of construction investment's risk sources. The research methodology is based on an in-depth analysis...
-
60 GHz Microstrip Van Atta Arrays for Millimeter Wave Identification and Localization
PublikacjaIn this paper performance comparison of co-polarized and cross-polarized microstrip Van Atta arrays working in the 60 GHz frequency range is presented. They can be treated as simple chipless RFID tags with frequency response based identification. Tags with three different nominal resonance frequencies of 57, 62 and 67 GHz are designed by scaling optimized base model. Designed 62 GHz co-polarized and cross-polarized arrays with...
-
Novel staphylococci nucH taxonomical marker used in identification of human-associated Staphylococcus succinus subsp. casei
PublikacjaThe aim of our study was to assess the sequencing of unique nucH gene fragment based on performed bioinformatics analysis as a novel diagnostic method for the identification of difficult to identify staphylococcal human pathogenic strains. Initially, PCR-RFLP-rrn analysis specific to the spacers between 16SrDNA and 23SrDNA followed by HhaI restriction analysis was performed. Further, sequencing of nucH and 16S rDNA genes fragments...
-
Optimal inputs in pharmacokinetics model's identification
PublikacjaW pracy przedstawiono zagadnienie optymalizacji pobudzeń dla identyfikacji parametrycznej kompartmentowych modeli zmiennych stanu SISO systemów farmakokinetycznych. Zaimplementowano kryterium w postaci śladu macierzy informacyjnej Fishera (kryterium czułościowe). Rozważono klasę pobudzeń dopuszczalnych o ograniczonej energii, gdyż w przypadku wielu leków zbyt szybkie ich podawanie wiąże się z występowaniem skutków ubocznych. Zadanie...
-
Simulation and measurements for the substance identification by AFM
Publikacja -
IDENTIFICATION OF THE INTERFECE OF LATERAL SLIDE BEARINGS
PublikacjaIn the paper, the model of slide bearings of motor engine, the metodology of research on this type of bearings and its results are presented measurement standpoint consisting of main elements of Briggs & Stratton 550 serie 10 T 802 model piston motor engine driven by three phase elektric engine is introduced . On the measurement standpoint are measurements were done, needed for specification...
-
Simulation and identification of damage in bar structures.
PublikacjaPraca zawiera opis i testy 3 procedur badawczych dotyczących lokalizacjizniszczeń w konstrukcjach. Procedury bazują na danych modalnych jakie obiektgeneruje podczas swoich drgań tzn. częstościach własnych i postaciach drgań Badane są zmiany podatności układu, zmiany krzywizn postaci drgań i wrażli-wość częstości na założone zniszczenia. Odpowiednie procedury wiążące się ztymi trzema metodami są przestestowane na przykładzie wspornika...
-
Risk Identification Patterns for Software Projects.
PublikacjaArtykuł prezentuje metodę identyfikacji ryzyka w projektach informatycznych z użyciem wzorców ryzyka odnoszących się do modelu procesu projektowego. W artykule zdefiniowano meta-model dla modelowania procesów ukierunkowany na analizę ryzyka oraz proste i złożone wzorce ryzyka wywiedzione z tego meta-modelu, jak również pokazano przykładowe użycie wzorców do opisu czynników ryzyka odnoszących się do modelu RUP. Metodę poddano walidacji...
-
A service-oriented approach to the identification of IT Risk
PublikacjaArtykuł przedstawia ogólne podejście do identyfikacji ryzyka eksploatacji systemów informatycznych, które obejmuje bezpieczeństwo, ochronę, prywatność oraz uzależnienie. Podejście oparte jest na badaniu trybów awarii usług dostarczanych użytkownikom przez oprogramowanie. Identyfikacja ryzyka na podstawie przeglądu usług uzupełniana jest listami kontrolnymi wyprowadzonymi ze standardów, a także klasycznymi technikami analizy bezpieczeństwa...