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Search results for: NEURON MODELS
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Ultracapacitor modeling and control with discrete fractional order artificial neural network
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Neural Networks Based on Ultrafast Time-Delayed Effects in Exciton Polaritons
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An application of the TCRBF neural network in multi-node fault diagnosis method
PublicationPrzedstawiono nową metodę samo-testowania części analogowej w systemach elektronicznych sterowanych mikrokontrolerami. Układ badany pobudzany jest przebiegiem sinusoidalnym przez generator zamontowany w systemie, a jego odpowiedź jest próbkowana w wybranych węzłach przez wewnętrzny przetwornik A/C mikrokontrolera. Detekcja i lokalizacja uszkodzenia jest dokontwana przez sieć neuronową typu TCRBF. Procedurę diagnostyczną zaimplementowano...
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Automatic singing voice recognition employing neural networks and rough sets
PublicationCelem prac opisanych w referacie jest automatyczne rozpoznawanie głosów śpiewaczych. Do tego celu utworzona została baza nagrań próbek śpiewu profesjonalnego i amatorskiego. Próbki poddane zostały parametryzacji parametrami zaproponowanymi przez autorów ściśle do tego celu. Sposób wyznaczenia parametrów i ich interpretacja fizyczna przedstawione są w referacie. Parametry wprowadzane są do systemów decyzyjnych, klasyfikatorów opartych...
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Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks
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Neural Networks in the Diagnostics Process of Low-Power Solar Plant Devices
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Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer
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Analysis of electrical patterns activity in artificial multi-stable neural networks
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Artificial Neural Networks for Prediction of Antibacterial Activity in Series of Imidazole Derivatives
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Multisensor Tracking of Marine Targets - Decentralized Fusion of Kalman and Neural Filters
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Comparative study of neural networks used in modeling and control of dynamic systems
PublicationIn this paper, a diagonal recurrent neural network that contains two recurrent weights in the hidden layer is proposed for the designing of a synchronous generator control system. To demonstrate the superiority of the proposed neural network, a comparative study of performances, with two other neural network (1_DRNN) and the proposed second-order diagonal recurrent neural network (2_DRNN). Moreover, to confirm the superiority...
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Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor
PublicationBearing defect is statistically the most frequent cause of an induction motor fault. The research described in the paper utilized the phenomenon of the current change in the induction motor with bearing defect. Methods based on the analysis of the supplying current are particularly useful when it is impossible to install diagnostic devices directly on the motor. The presented method of rolling-element bearing diagnostics used indirect...
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Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublicationIn this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...
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Face with Mask Detection in Thermal Images Using Deep Neural Networks
PublicationAs the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...
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Application of the neural networks for developing new parametrization of the Tersoff potential for carbon
PublicationPenta-graphene (PG) is a 2D carbon allotrope composed of a layer of pentagons having sp2- and sp3-bonded carbon atoms. A study carried out in 2018 has shown that the parameterization of the Tersoff potential proposed in 2005 by Ehrhart and Able (T05 potential) performs better than other potentials available for carbon, being able to reproduce structural and mechanical properties of the PG. In this work, we tried to improve the...
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Application of Artificial Neural Networks to Predict Insulation Properties of Lightweight Concrete
PublicationPredicting the properties of concrete before its design and application process allows for refining and optimizing its composition. However, the properties of lightweight concrete are much harder to predict than those of normal weight concrete, especially if the forecast concerns the insulating properties of concrete with artificial lightweight aggregate (LWA). It is possible to use porous aggregates and precisely modify the composition...
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Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)
PublicationThe paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator. The study includes variations of the order of each fractional operator. The recurrent neural network architecture based on GRU (Gated Recurrent Unit) cells functioned as a neural approximation for selected...
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Hierarchical 2-step neural-based LEGO bricks detection and labeling
PublicationLEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...
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An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks
PublicationHandwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the...
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A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System
PublicationMachine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved it would streamline the radiologists work. To deal with this complex three-dimensional...
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Applying artificial neural networks for modelling ship speed and fuel consumption
PublicationThis paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
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Nodal models of Pressurized Water Reactor core for control purposes – A comparison study
PublicationThe paper focuses on the presentation and comparison of basic nodal and expanded multi-nodal models of the Pressurized Water Reactor (PWR) core, which includes neutron kinetics, heat transfer between fuel and coolant, and internal and external reactivity feedback processes. In the expanded multi-nodal model, the authors introduce a novel approach to the implementation of thermal power distribution phenomena into the multi-node...
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The analysis of the accuracy of spatial models using photogrammetric software: Agisoft Photoscan and Pix4D
PublicationThis article was created as a result of research conducted within the master thesis. The purpose of the measurements was to analyze the accuracy of the positioning of points by computer programs. Selected software was a specialized computer software dedicated to photogrammetric work. For comparative purposes it was decided to use tools with similar functionality. As the basic parameters that affect the results selected the resolution...
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Fast Antenna Optimization Using Gradient Monitoring and Variable-Fidelity EM Models
PublicationAccelerated simulation-driven design optimization of antenna structures is proposed. Variable-fidelity electromagnetic (EM) analysis is used as well as the trust-region framework with limited sensitivity updates. The latter are controlled by monitoring the changes of the antenna response gradients. Our methodology is verified using three compact wideband antennas. Comprehensive benchmarking demonstrates its superiority over both...
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Regional quality contests based on business excellence models – Pomeranian case study
PublicationCompetitions based on models of organizational excellence have significant potential. Organizations participating in these initiatives have the chance not only to get marketing benefits, but also gain comprehensive knowledge about their management systems. Moreover, thanks to the structure of models of excellence an organization can plan in detail the improvement activities in its main processes. The aim of the authors is to analyze...
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Can we rely on the pulse transit time - pressure relationship - models comparison
PublicationAn unobtrusive, noninvasive and continuous pressure measurement is invaluable however, still being under research and development. There are many attempts proposing an appropriate relationship between pulse pressure velocity and pressure. Fifteen different formulas, both theoretical and experimental, describing relation between blood pressure and crosssectional area of the vessel were examined. Using these formulas the relation...
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Justification of quasi-stationary approximation in models of gene expression of a self-regulating protein
PublicationWe analyse a model of Hes1 gene transcription and protein synthesis with a negative feedback loop. The effect of multiple binding sites in the Hes1 promoter as well as the dimer formation process are taken into account. We consider three, possibly different, time scales connected with: (i) the process of binding to/dissolving from a binding site, (ii) formation and dissociation of dimers, (iii) production and degradation of Hes1...
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A survey of automatic speech recognition deep models performance for Polish medical terms
PublicationAmong the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....
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Application of mechanistic and data-driven models for nitrogen removal in wastewater treatment systems
PublicationIn this dissertation, the application of mechanistic and data-driven models in nitrogen removal systems including nitrification and deammonification processes was evaluated. In particular, the influential parameters on the activity of the Nitrospira activity were assessed using response surface methodology (RSM). Various long-term biomass washout experiments were operated in two parallel sequencing batch reactor (SBR) with a different...
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The operational method of filling information gaps in satellite imagery using numerical models
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Assessment of the effect of vegetation on the transition of the flood wave using hydraulic 2D models
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Shaking table experimental study on models of steel buildings with different types of joints
PublicationThe aim of this paper is to study the response of models of steel buildings with destroyed and non-destroyed joints. The study was conducted experimentally using the shaking table tests. Two steel models were considered. Several types of joints were taken into account: totally destroyed joints, partially destroyed joints, welded joints and joints stiffened with additional metal. Six ground motions were taken into account. The acceleration...
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Early stage of critical clusters growth in phenomenological and Molecular Dynamic simulation models.
PublicationOpisano proces kondensacji pary wodnej w ujĘciu fenomenologicznymi dynamiczno-molekularnym. Wczesne fazy wzrostu klastra opisano w ramach klasycznej teorii Hertza-Knudsena. Obszernie przedstawiono wyniki symulacji dynamiczno-molekularnych zjawiska kondensacji pary wodnej z jednorodnej fazy gazowej (przebieg powstawania małych klastrów H2O i szybkość wzrostu klastrów ponadkrytycznych).
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Implementation of didactic simulation models in Open Source and SCORM compliant LMS systems.
PublicationModele symulacyjne są cenną pomocą w procesie dydaktycznym. Ich zastosowanie w systemach komputerowego wspomagania nauczania znacząco podnosi ich efektywność oraz pozwala na przeprowadzanie wirtualnych ćwiczeń laboratoryjnych (na przykład podczas nauczania na odległość). Niestety stosowane obecnie systemy LMS (Lerning Management System) nie są zadowalająco przystosowane do obsługi symulacyjnej zawartości dydaktycznej. W artykule...
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Real and virtual enviromnents in environmental engineering: approaches, models, technologies, and critical issues.
PublicationW pracy scharakteryzowano zagadnienia związane z projektowaniem systemów uwzględniającym ochronę środowiska.
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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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Structural properties of water: Comparison of the SPC, SPCE, TIP4P and TIP5P models of water
PublicationDla czterech najpopularniejszych modeli wody obliczono wartości entropii absolutnej ciekłej wody w temperaturze 298 K, średnią liczbę wiązań wodorowych tworzonych przez cząsteczkę wody, średni czas życia wiązania wodorowego, średni czas życia cząsteczki wody w stanie związanym (gdy tworzy ona co najmniej jedno wiązanie wodorowe) oraz średnią energię wiązania wodorowego. Otrzymane rezultaty porównano z eksperymentem. Uzyskane wyniki...
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Proteins Structure Models in the Evaluation of Novel Variant (C.472_477del) in the MOCS2 Gene
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Estimation of the excitation variances of speech and noise AR-models for enhanced speech coding
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Investigating Human Visual Behavior by Hidden Markov Models in the Design of Marketing Information
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Iterative‐recursive estimation of parameters of regression models with resistance to outliers on practical examples
PublicationHere, identification of processes and systems in the sense of the least sum of absolute values is taken into consideration. The respective absolute value estimators are recognised as exceptionally insensitive to large measurement faults or other defects in the processed data, whereas the classical least squares procedure appears to be completely impractical for processing the data contaminated with such parasitic distortions. Since...
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Testing interaction models by using x-ray absorption spectroscopy: solid Pb
PublicationPraca prezentuje zastosowanie metody EXAFS jako narzędzia do testowania potencjałów oddziaływań międzyatomowych używanych w symulacjach dynamiczno-molekularnych na przykładzie czystego ołowiu w fazie stałej (od temperatury pokojowej do temperatury topnienia). Testowaniu poddano następujące potencjały: dwuciałowy empiryczny potencjał Dzugutova, Larssona i Ebbsjo (DLE), potencjał ciasnego wiązania (TB) i potencjał w modelu osadzonego...
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A concept of application of the technical state change models of devices inship operation process
PublicationPrzedstawiono warunki zastosowania modeli zmian stanu technicznego urządzeń siłowni okrętowej w trakcie eksploatacji statku, koncepcję prognozowania zasobu godzin pracy urządzeń w zmiennych warunkach pływania oraz planowania obsług profilaktycznych.
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Compatible DC and small-signal MOSFET models for radio and microwave frequency simulation
PublicationZaprezentowano nowy model stałoprądowy tranzystora MOS i kompatybilny z nim uogólniony nie-quasi-statyczny model małosygnałowy. Model stałoprądowy został eksperymentalnie zweryfikowany dla tranzystorów MOS o długości kanału od 75 nm do kilkunastu mikrometrów, a model małosygnałowy od zera herców do 30 GHz.
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Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
PublicationThe aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models as a valuable alternative to the current guidelines in predicting cardiac resynchronization therapy (CRT) response and phenotyping of patients eligible for CRT implantation. This systematic review was performed...
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“Silver Economy” Models in the European Union in the Comparative Approach: An Attempt to Introduce Discussion
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Early stage of critical clusters growth in phenomenological and Molecular Dynamic simulation models
PublicationW artykule opisano wzrost klastrów krytycznych w ramach klasycznego podejścia fenomenologicznego oraz dynamiczno-molekularnego (MD). Została wyprowadzona nowa formuła opisujaca liczbę klastrów krytycznych. Sformułowano równania opisujace wczesne etapy wzrostu kropli o rozmiarach krytycznych. Opisano wyniki symulacji dynamiczno-molekularnych powstawania klastrów w jednorodnej parze przesyconej oraz podano czasowe zmiany rozkładu...
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Comparison of the Toxicity of Pristine Graphene and Graphene Oxide, Using Four Biological Models
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Simplifying biochemical tumorous bone remodeling models through variable order derivatives
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What Can Be Observed Locally? Round based models for quantum distributed computing
PublicationW pracy rozważono zagadnienie lokalności w kontekście informacji kwantowej w obliczeniach rozproszonych. Rozważono dwa kwantowe rozszerzenia modelu LOCAL Liniala, otrzymane poprzez: (1) inicjalizację systemu w kwantowym stanie splątanym, (2) zastosowanie kwantowych kanałów komunikacyjnych. Dla obydwu typów rozszerzeń zaproponowano przykłady problemów, których złożoność rundowa ulega redukcji w porównaniu do oryginalnego modelu...