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Search results for: EMOTION CLASSIFICATION
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Work, Domestic Work, Emotional Labor
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Estimation of cavitation erosion resistance of materials
PublicationW pracy przedstawiono ocenę odporności kawitacyjnej 17 materiałów. Do opisu odporności kawitacyjnej zaproponowano nowy wskaźnik liczbowy uwzględniający długość okresu inkubacji, maksymalną prędkość niszczenia oraz czas po którym wystąpi maksymalna prędkość niszczenia materiału. Zaproponowany wskaźnik porównano ze wskaźnikiem δcav, który reprezentuje całą krzywą erozji kawitacyjnej materiału.
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Scale effects in cavitation erosion of materials
PublicationW pracy przedstawiono wpływ wielkości objętości erodowanego materiału na przebieg krzywych erozyjnych. Przedstawiono również niektóre wyniki Międzynarodowego Testu Kawitacyjnego.
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Erosion of privacy in computer vision systems
PublicationW pracy przedstawiono problemy, które mogą wystąpić, gdy technologia komputerowego wzroku zostanie zaimplementowana w urządzeniach wykorzystywanych w codziennym życiu. Przeprowadzono także dyskusję socjologicznych konsekwencji stosowania biometrii, automatycznego śledzenia ruchu i interpretacji obrazu. Omówiono też problemy wynikające z połączenia komputerowego wzroku z możliwościami oferowanymi przez Internet.
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Hydrofoil craft motions in rough sea
PublicationW pracy przedstawiono, bardziej od dotychczas znanych, matematyczny, liniowy model ruchów wodolotu na wzburzonym morzu. Fala jest wiatrową o zadanym widmie a kurs wodolotu względem głównego kierunku biegu fal może być dowolny. Wodolot może być jednokadłubowcem lub katamaranem, podpartym układem dwóch lub trzech płatów nośnych, przy czym co najmniej jego płaty dziobowe przecinają niezakłóconą powierzchnię wody. Płaty nośne mogą...
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The resistance of S235JR steel to cavitation erosion
PublicationThe erosion resistance of S235JR steel to flow cavitation was investigated. In order to understand an influence of steel properties and cavitation intensities on the degradation mechanisms, low-carbon S235JR steel was tested in the as-received state and after thermal treatment (annealing) under four different flow velocities. Annealing decreased steel hardness, which made S235JR steel less resistant to cavitation erosion. The performed...
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Cavitation Erosion – Phenomenon and Test Rigs
PublicationThe cavitation and cavitation erosion phenomenon have been shortly presented. The main four types of test rigs to investigate the cavitation erosion resistance have been shown. Each type of test design is described and an example of a design is shown. A special attention has been payed to the designs described in the International ASTM Standards: a vibratory design and a cavitating jet cell. There was shown that the design of a...
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Slurry Erosion -Design of Test Devices
PublicationDegradation of material caused by impacts of a solid particle (erodent) suspended in a liquid is called slurry erosion and is a major problem in the hydropower and maritime industry. Slurry erosion depends on many factors, e.g. liquid and erodent velocity, size, shape, angle of impact, hardness and number of erodents, and strength of a target material. The various types of test devices have been designed to investigate an effect...
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Cavitation erosion degradation of Belzona® coatings
PublicationIn hydrocarbon and maritime industry there is a constant need of materials and coatings withstanding severe conditions. One of adverse phenomena present there is cavitation erosion. The paper presents evaluation of cavitation resistance of three different steel coatings. Belzona 2141 (ACR-Fluid Elastormer), 1321 (Ceramic S-Steal) and 5831 (ST-Barrier) were deployed on P110 steel and subjected to ultrasound cavitation in distilled...
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xEmotion – obliczeniowy model emocji dedykowany dla inteligentnych systemów decyzyjnych
PublicationArtykuł prezentuje cybernetyczne podejście do zagadnienia modelowania ludzkich emocji, oparte na psychologicznych teoriach (ocennej i somatycznej). Opracowany model przeznaczony jest do integracji z Inteligentnym Systemem Decyzyjnym – IDS. Może być on używany jako silnik aplikacji lub jako system sterowania niezależnego urządzenia, np. robota autonomicznego.
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Ontological Modeling for Contextual Data Describing Signals Obtained from Electrodermal Activity for Emotion Recognition and Analysis
PublicationMost of the research in the field of emotion recognition is based on datasets that contain data obtained during affective computing experiments. However, each dataset is described by different metadata, stored in various structures and formats. This research can be counted among those whose aim is to provide a structural and semantic pattern for affective computing datasets, which is an important step to solve the problem of data...
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Characterization and classification of hoarfrost samples collected in Poland (2003-2005) by discriminant analysis
PublicationTechnikę analizy dyskryminacyjnej wykorzystano do klasyfikacji próbek szronu (zebranych w latach 2003-2005 na terenie m.in. Gdańska, Grudziądza, Poznania) na naturalnie wyłaniające się grupy oraz by zidentyfikować parametry fizykochemiczne odpowiedzialne za podobieństwa i różnice pomiędzy poszczególnymi miejscami pobierania próbek. Aby ocenić jakość dyskryminacji zastosowano m.in. następujące kryteria: lambdę Wilksa, cząstkową...
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Segmentation-Based BI-RADS Ensemble Classification of Breast Tumours in Ultrasound Images
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Expert System as a classification method for optimal Legg-Calve-Perthes Disease treatment
PublicationZaproponowano utworzenie systemu eksperckiego jako metody klasyfikacji w prognozowaniu dowolnej formy leczenia dzieci z chorobą Legg-Calve-Perthesa. Obecnie nie ma jednego optymalnego sposobu leczenia choroby Perhtes'a i proponowana metoda jest próbą utworzenia wymiernego i uniwersalnego narzędzia, które będzie stanowiło podstawę przy podejmowaniu decyzji o najlepszym sposobie leczenia chorego stawu biodrowego. System ekspercki,...
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development of an open source software to transform acoustic data for classification of benthic habitat
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Is the Keros classification alone enough to identify patients with the ‘dangerous ethmoid’? An anatomical study
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
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The Role of Daylight in Forming the Traditional Space: Classification of Traditional Iranian Daylighting Elements
PublicationDaylight character in a space can be defined as the manner in which daylight permeates and is dispersed in that space. The architectural elements related to daylighting under investigation in this study were rooted in Iranian-Isfahani heritage, considered traditional Iranian architecture (from the 16th to early 20th century). The establishment of a classification system for daylighting systems holds significant utility. This...
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Leveraging Training Strategies of Artificial Neural Network for Classification of Multiday Electromyography Signals
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Artificial Neural Networks in Classification of Steel Grades Based on Non-Destructive Tests
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Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublicationHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
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Combined method of multibeam sonar signal processing and image analysis for seafloor classification
PublicationThe combined approach to seafloor characterisation was investigated. It relies on calculation of several descriptors (parameters) related to seabed type using three types of multibeam sonar data obtained during seafloor sensing: 1) the grey-level sonar images (echograms) of seabed, 2) the 3D model of the seabed surface which consists of bathymetric data, 3) the set of time domain bottom echo envelopes received in the consecutive...
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A new approach for an automatic assessment of a neurological condition employing hand gesture classification
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Decision classification criteria for ADT in burn diagnostics based on in-vivo animal experiments
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Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques.
PublicationArtykuł przedstawia w sposób przeglądowy prace Katedry Systemów Multimedialnych Politechniki Gdańskiej związane z wyszukiwaniem informacji muzycznej, a w szczególności z klasyfikacją dźwięków instrumentów muzycznych. W opisywanych eksperymentach wykorzystano sztuczne sieci neuronowe.
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Automated hearing loss type classification based on pure tone audiometry data
PublicationHearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient’s hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of an audiogram, need to be interpreted by a professional audiologist in order to determine the exact type of hearing loss and administer proper treatment. However, the small number of...
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Segmentation-Based BI-RADS ensemble classification of breast tumours in ultrasound images
PublicationBackground: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using arti- ficial intelligence. However, only two papers have dealt with complex BI-RADS classifications. Purpose: This study addresses the automatic classification of breast lesions into binary classes (benign vs. ma- lignant)...
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Detecting type of hearing loss with different AI classification methods: a performance review
PublicationHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
PublicationThe field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...
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Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG
PublicationEEG-based brain-computer interfaces are systems aiming to integrate disabled people into their environments. Nevertheless, their control could not be intuitive or depend on an active external stimulator to generate the responses for interacting with it. Targeting the second issue, a novel paradigm is explored in this paper, which depends on a passive stimulus by measuring the EEG responses of a subject to the primary colors (red,...
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Classification and fingerprinting of kiwi and pomelo fruits by multivariate analysis of chromatographic and spectroscopic data
PublicationThe fingerprinting capacity of two analytical techniques, HPLC and UV-Vis spectroscopy in the case of fruits samples (kiwi and pomelo) has been investigated. The multivariate exploratory techniques were used for sample discrimination according to the fruit species and subspecies. The combination of principal component analysis with linear discriminant analysis is opening new directions in the fingerprinting analysis. The classifications...
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Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification
PublicationLand Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...
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Minichannel and minigap classification criteria based on the aspect ratio of the minigeometry: A numerical study
PublicationA detailed numerical investigation has been carried out to analyze the diabatic flow distribution and velocity profile in 18 minigeometries with various aspect ratios for V-type and I-type flow configurations (for 36 cases) assuming ethanol as a working fluid. The aim of the study is to distinguish the value of the aspect ratio for which the flow in minigeometry starts to be two-dimensional (minigap). Cases with a constant Reynolds...
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Compensation Topologies in IPT Systems: Standards, Requirements, Classification, Analysis, Comparison and Application
PublicationWireless power transfer devices are becoming more relevant and widespread. Therefore, an article is devoted to a review, analysis and comparison of compensation topologies for an inductive power transfer. A new classification of topologies is developed. A lot of attention is paid to the problems of the physical fundamentals of compensation work, standards, safety, and five main topology requirements. It is determined, that topologies...
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Application of passive acoustic radar to automatic localization, tracking and classification of sound sources
PublicationA concept, practical realization and applications of the passive acoustic radar to automatic localization, tracking and classification of sound sources were presented in the paper. The device consists of a new kind of multichannel miniature sound intensity sensors and a group of digital signal processing algorithms. Contrary to active radars, it does not emit the scanning beam but after receiving surrounding sounds it provides...
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Influence of accelerometer signal pre-processing and classification method on human activity recognition
PublicationA study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy. In the test four methods of classification were used: support vector machine, decision trees, neural network, k-nearest neighbor.
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Classification of Urban Regeneration Participants as a Basis for Identification of Construction Investment's Risk Sources
PublicationOn 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...
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Standard of living in Poland at regional level - classification with Kohonen self-organizing maps
PublicationThe standard of living is spatially diversified and its analyzes enable shaping regional policy. Therefore, it is crucial to assess the standard of living and to classify regions due to their standard of living, based on a wide set of determinants. The most common research methods are those based on composite indicators, however, they are not ideal. Among the current critiques moved to the use of composite...
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Methodology for Text Classification using Manually Created Corpora-based Sentiment Dictionary
PublicationThis paper presents the methodology of Textual Content Classification, which is based on a combination of algorithms: preliminary formation of a contextual framework for the texts in particular problem area; manual creation of the Hierarchical Sentiment Dictionary (HSD) on the basis of a topically-oriented Corpus; tonality texts recognition via using HSD for analysing the documents as a collection of topically completed fragments...
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Hydrological excitation of polar motion by different variables from the GLDAS models
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Assessing hydrological signal in polar motion from observations and geophysical models
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Comparison of the geophysical excitations of polar motion from the period: 1980.0–2009.0
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Non-Newtonian lubrication of human hip joint for unsteady impulsive motion
PublicationTematem niniejszej pracy są parametry smarowania lepkosprężystą cieczą synowialną stawu biodrowego człowieka w czasie kilku, kilkunastu a nawet kilkudziesięciu mikrosekund po doznanym urazie. W niniejszej pracy rozpatruje się urazy wywołujące zmniejszenie lub zwiększenie wysokości i zmiany kształtu szczeliny stawu, które to zmiany po pewnym określonym czasie po doznanym urazie mogą zanikać. W konsekwencji takich urazów i to w...
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The method of tribotesting of PVD coated elements in oscillation motion at high temperature
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Enhancing capabilities of Atomic Force Microscopy by tip motion harmonics analysis
PublicationMotion of a tip used in an atomic force microscope can be described by the Lennard-Jones potential, approximated by the van der Waals force in a long-range interaction. Here we present a general framework of approximation of the tip motion by adding three terms of Taylor series what results in non-zero harmonics in an output signal. We have worked out a measurement system which allows recording of an excitation tip signal and its...
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The use of weight in motion data to heavy vehicles - pavement interaction analysis
PublicationWeight in motion (WIM) is the element of modern intelligent transport systems created to control commercial vehicles and to detect overloaded items. Because all of the vehicles crossing the WIM station are weighed and recognized, given data can be used to vehicle-pavement interaction analysis. The paper presents the results of analysis based on data from seven WIM stations localized in Motorway and National Roads in Poland. The...
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Calculation of motion trajectory and geometric parameters of the trawl during pelagic fishing
PublicationThis paper presents a mathematical model of the mass centre motion trajectory of the trawl, its main geometrical parameters, way of solving the model as well as its example results. It could be useful to define optimum parameters of safe, effective and environmentally friendly pelagic fishing.
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Numerical contribution to the viscoelastic magnetic lubrication of human joint in periodic motion.
PublicationPraca przedstawia rozwiązania problemu smarowania stawów człowieka w układzie współrzędnych ortogonalnych krzywoliniowych dla ruchu nieustalonego okresowego w polu magnetycznym. Uwzględnia się lepkosprężyste właściwości cieczy synowialnej w trakcie smarowania
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Eulerian motion magnification applied to structural health monitoring of wind turbines
PublicationSeveral types of defects may occur in wind turbines, as physical damage of blades or gearbox malfunction. A wind farm monitoring and damage prediction system is built to observe abnormal vibrations of elements of wind turbine: blades, nacelle, and tower. Contactless methods are developed which do not require turbine stopping. In this work, structural health monitoring of a wind turbine is evaluated using a conversion from the captured...