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Search results for: EXPERIENTIAL LEARNING
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Hearing and stomatognathic system: Searching for a link
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Evaluating the Hearing of Patients with Pseudoexfoliation Syndrome
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Technology of welding hard wearing plates
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Membrane cleaning and pretreatments in membrane distillation – a review
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The Resistance of Polyethersulfone Membranes on the Alkaline Cleaning Solutions
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Modeling and experimental investigation of the small UPQC systems
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Modeling and experimental investigation of the small UPQC systems
PublicationIn this paper the basis of analytical modelling of the UPQC arrangements (Unified Power Quality Conditioner) in d-q rotating coordinates, as well as select results of investigations conducted on the simplified small power laboratory model were talked over. In short form power balance as well as fundamental dependences and analytic model with regard of decoupling circuits were investigated. Applied method for DC link capacity selection...
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Experimental investigations of the hydroelasticity of a liquid-filled tank
PublicationW artykule przedstwiono wyniki badań eksperymentalnych dotyczących współoddziaływania konstrukcji odkształcalnej z cieczą. Badania przeprowadzono na dwóch zbiornikach prostopadłościennych ze sprężyście odkształcalnymi ścianami szczytowymi. Badanie tego zjawiska ma odniesienie do często spotykanych zdarzeń praktycznych jak zderzenie zbiornikowca z innym statkiem lub nabrzeżem portowym.
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Experimental investigations of the model tank of a liquid filled
PublicationPraca dotyczy zagadnienia hydrosprężystości wewnętrznej i jest poświęcona badaniom eksperymentalnym drgań na modelu zbiornika wypełnionego cieczą. Badania dotyczą drgań giętnych w płaszczyźnie pionowej zbiornika odkształcalnego zawierającego ciecz. Otrzymano oscylogramy dla modelu suchego (brak cieczy) oraz dla modelu wypełnionego całkowicie cieczą. Następnie dokonano obróbki tych oscylogramów pod kątem badania drgań modelu w zakresie...
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An experimental study on transducer for the dds technology demonstrator
PublicationPrzedmiotem artykułu jest cylindryczny wieloelementowy przetwornik ultradźwiękowy wykonany w technologii DDS - demonstratora. Opisane zostały własności szerokopasmowego promieniowania przetwornika którego elementy zostały wykonane z piezokompozytowego materiału. W artykule zamieszczono wyniki badań wycinka próbnego - wykonanego z trzech elementów piezokompozytowych.
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An Experimental and Numerical Study of the Vortces Generated by Hydrofoils
PublicationArtykuł przedstawia wyniki projektu badawczego poświęconego wirom generowanym przez płaty nośne. W części eksperymentalnej wykonano anemometrem laserowym pomiary pól prędkości w poprzecznych przekrojach wirów. W częsci numerycznej przeprowadzono obliczenia używając różnych struktur siatki obliczeniowej i różnych modeli turbulencji. Na podstawie porównania wybrano model turbulencji i strukturę siatki najlepiej odzwieciedlające pole...
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Pyridylmethylsilanes as dicarboxyacid receptors: Experimental and theoretical study
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An Experimental Facility for Rapid Testing of SCR Systems
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Numerical and Experimental Study of Tidal Turbine Performance
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Numerical and Experimental Study of Tidal Turbine Performance
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Consumers’ Need of Privacy Protection – Experimental Results
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Experimental Researches of Hydraulic Clutches with Smart Fluids
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An Experimental and Numerical Study of Tip Vortex Cavitation
PublicationArtykuł przedstawia eksperymentalne i numeryczne badanie kawitujacych wirów wierzchołkowych. Eksperymenty przeprowadzono w tunelu kawitacyjnym na modelu płata nośnego, wykonując pomiary pola prędkości wokół wiru przy pomocy metody Particle Image Velocimetry (PIV). Równolegle przeprowadzono numeryczne symulacje kawitującego wiru wierzchołkowego dla różnych parametrów przepływu. Symulacje wykonano programami Fluent i CFX, stosując...
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Experimental and theoretical analysis of dryout in annular flow
PublicationW pracy opisano badania eksperymentalne kryzysu wrzenia typu dryout, przeprowadzone w pionowych rurkach o średnicy wewnętrznej 1.15 i 2.3 mm z wykorzystaniem dwóch czynników roboczych, tj. SES36 i R123. W oparciu o wyniki tych badań zaproponowano ogólną korelację na krytyczny strumień ciepła w minikanałach.
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Experimental invesigation of ORC for domestic micro CHP
PublicationW pracy opisano wyniki badań eksperymentalnych dwóch prototypowych ekspanderów. W ramach analizy dokonano oceny możliwości ich zastosowania w domowej mikrosiłowni parowej.
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Experimental and Numerical Study on Pounding of Structures in Series
PublicationPounding between structures in series during earthquakes may cause serious damage in the structural elements. The aim of this paper is to show the results of an experimental and numerical study that is focused on pounding between more than two structures which may be described as “structures in series”. In this study, the shaking table experiments, as well as the numerical analyses, were performed using three tower models including...
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Experimental observations on the creep behaviour of frozen soil
PublicationConstitutive models in the literature for creep of frozen soil are based on the direct use of time counted from the onset of creep. An explicit time dependence in a constitutive equation violates the principles of rational mechanics. No change in stress or temperature is allowed for during creep, using the time-based formulations. Moreover, the existing descriptions need much verification and improvement on the experimental side...
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Experimental tests of reinforced concrete deep-beams
PublicationThe paper presents results of experimental research of the reinforced concrete deep beam with a spatial arrangement. Tested structural elements consist of the cantilever deep beam loaded on the height and transverse deep beam with hanging on it another one. The analysis includes crack morphology, effort of steel and load distribution. The article verified effectiveness of two different kind of reinforcement in both tested deep...
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An experimental study of high-hydrogen welding processes
PublicationThis paper presents investigation results of determination of the diffusible hydrogen content in deposited metal obtained by means of two most often used methods-the glycerin method and the mercury method. Relation has been defined between results of those methods in the area characteristic of low-hydrogen as well as high-hydrogen welding processes. Relations available in the literature do not include the diffusible hydrogen content...
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Experimental generation of complex noisy photonic entanglement
PublicationWe present an experimental scheme based on spontaneous parametric down-conversion to produce multiple-photon pairs in maximally entangled polarization states using an arrangement of two type-I nonlinear crystals. By introducing correlated polarization noise in the paths of the generated photons we prepare mixed-entangled states whose properties illustrate fundamental results obtained recently in quantum information theory, in particular those...
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TRUSS JOINT WITH POSITIVE ECCENTRICITY EXPERIMENTAL RESEARCH
PublicationDue to the technological reasons in modern lightweight steel trusses, fabricated from cold- formed sections, positive eccentricities appear in the truss nodes what induce additional forces in the truss chords. To account for the real load-carrying capacity of truss node area the steel structure research in scale 1:1 were conducted. The experiments consisted of two parts: preliminary and proper one, when conclusions from...
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The experimental research on the axially compressed CFFT columns
PublicationThe research objectives is to test the behaviour of the axially compressed glass fiber reinforced polymer tubes CFFT (concrete-filled FRP tube) withe the R-C core.
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Similarity Measures for Face Images: An Experimental Study
PublicationThis work describes experiments aimed at finding a straightforward but effective way of comparing face images.We discuss properties of the basic concepts, such as the Euclidean, cosine and correlation metrics, test the simplest version of elastic templates, and compare these solutions with distances based on texture descriptors (Local Ternary Patterns). The influence of selected image processing methods (e.g. bilateral ltering)...
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Experimental and theoretical study of protonated water cluster
PublicationZa pomocą metody rojowej zbadano powstanie i dryf dodatnio naładowanych klastrów wody H+(H20)n n=1-7. Oszacowano energie dysocjacji. Prace uzupełniają obliczenia kwantowe konfiguracji wybranych klastrów. Dokonano obliczeń kilkunastu konfiguracji zjonizowanych klastrów.
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Experimental evaluation of the PLC-controlled drives properties.
PublicationPrzedstawiono strukturę stanowiska laboratoryjnego do testów oprogramowania PLC do sterowania napędami oraz do prowadzenia eksperymentalnych prób takich napędów. Omówiono zasady prowadzenia testów oprogramowania przed i w trakcie uruchamiania napędu. Przedstawiono przykładowe rezultaty doświadczeń.
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An experimental study of distributed algorithms for graph coloring.
PublicationW pracy podano algorytm rozproszonego kolorowania grafówi porównano ze znanym wcześniej algorytmem.
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Change of myocardial impedance during experimental ischemia.
PublicationW pracy omówiono możliwość monitorowania procesu niedotlenienia za pomocą pomiarów immitancyjnych. Przedstawiono skonstruowane stanowisko pomiarowe ze szczególnym uwypukleniem właściwości sondy pomiarowej. Przedstawiono wyniki eksperymentalnego niedotlenienia u świń wywołanego zamknięciem LAD.
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Silo music: Experimental investigations and a mechanical model
PublicationW artykule opisano zagadnienie zjawisk akustycznych oraz drgań występujących w silosach podczas przepływu materiałów granulowanych.
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Fast Fading Influence on the Deep Learning-Based LOS and NLOS Identificationin Wireless Body Area Networks
PublicationIn the article, the fast fading influence on the proposed DL (Deep Learning) approach for LOS (Line-of-Sight) and NLOS (Non-Line-of-Sight) conditions identification in Wireless Body Area Networks is investigated. The research was conducted on the basis of the off-body communication measurements using the developed mobile measurement stand, in an indoor environment for both static and dynamic scenarios. The measurements involved...
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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
PublicationData from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Employing Subjective Tests and Deep Learning for Discovering the Relationship between Personality Types and Preferred Music Genres
PublicationThe purpose of this research is two-fold: (a) to explore the relationship between the listeners’ personality trait, i.e., extraverts and introverts and their preferred music genres, and (b) to predict the personality trait of potential listeners on the basis of a musical excerpt by employing several classification algorithms. We assume that this may help match songs according to the listener’s personality in social music networks....
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Detection of Cystic Fibrosis Symptoms Based on X-Ray Images Using Machine Learning- Pilot Study
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The pattern of verbal, visuospatial and procedural learning in Richardson variant of progressive supranuclear palsy in comparison to Parkinson’s disease
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Multimodal learning application with interactive animated character. [Multimodalna aplikacja edukacyjna wykorzystująca interaktywną animowaną postać]
PublicationThe aim of this study is to design a computer application that may assist teachers and therapists in multimodal manner in their work with impaired or disabled children. The application can be operated in many different ways, giving to a child with special educational needs a possibility to learn and train many skills or treat speech disorders. The main stress in this research is on the creation of animated character that will serve...
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Early Predictors of Learning a Foreign Language in Pre-school – Polish as a First Language, English as a Foreign Language
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Remote learning among students with and without reading difficulties during the initial stages of the COVID-19 pandemic
PublicationThis article presents the results of a survey on yet under-researched aspects of remote learning and learning difficulties in higher education during the initial stage (March – June 2020) of the COVID-19 pandemic. A total of 2182 students from University of Warsaw in Poland completed a two-part questionnaire regarding academic achievements in the academic year 2019/2020, living conditions and stress related to learning and pandemic,...
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Universal Predictors of Dental Students’ Attitudes towards COVID-19 Vaccination: Machine Learning-Based Approach
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Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
PublicationThe rapid development of shipping trade pushes automated container terminals toward the direction of intelligence, safety and efficiency. In particular, the formulation of AGV scheduling tasks and the safety and stability of transportation path is an important part of port operation and management, and it is one of the basic tasks to build an intelligent port. Existing research mainly focuses on collaborative operation between...
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Machine-Learning-Based Global Optimization of Microwave Passives with Variable-Fidelity EM Models and Response Features
PublicationMaximizing microwave passive component performance demands precise parameter tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often requires a comprehensive approach due to their complex geometries and miniaturized structures. However, the computational burden of optimizing these components via full-wave electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit...
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Efficient Calibration of Cost-Efficient Particulate Matter Sensors Using Machine Learning and Time-Series Alignment
PublicationAtmospheric particulate matter (PM) poses a significant threat to human health, infiltrating the lungs and brain and leading to severe issues such as heart and lung diseases, cancer, and premature death. The main sources of PM pollution are vehicular and industrial emissions, construction and agricultural activities, and natural phenomena such as wildfires. Research underscores the absence of a safe threshold for particulate exposure,...
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Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
PublicationOne of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the ability to anticipate their flexural response. With a comprehensive grid search, several stacked models (i.e., chained, parallel) consisting of various machine learning (ML) algorithms and artificial neural networks (ANNs) were developed to predict the flexural response of SFRC beams. The flexural performance of SFRC beams under bending was...
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Cost-Efficient Measurement Platform and Machine-Learning-Based Sensor Calibration for Precise NO2 Pollution Monitoring
PublicationAir quality significantly impacts human health, the environment, and the economy. Precise real-time monitoring of air pollution is crucial for managing associated risks and developing appropriate short- and long-term measures. Nitrogen dioxide (NO2) stands as a common pollutant, with elevated levels posing risks to the human respiratory tract, exacerbating respiratory infections and asthma, and potentially leading to chronic lung...
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Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects
PublicationIn this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model has been used. The task is to predict simultaneously and independent of each characteristic parameters of a buried object of several radii at different positions (depth and lateral position) in various dispersive subsurface media. This study has analyzed variable...