Wyniki wyszukiwania dla: AUTOMATIC MUSIC CLASSIFICATION - MOST Wiedzy

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Wyniki wyszukiwania dla: AUTOMATIC MUSIC CLASSIFICATION

Wyniki wyszukiwania dla: AUTOMATIC MUSIC CLASSIFICATION

  • AngioScore: An artificial intelligence tool to assess coronary artery lesions

    Publikacja
    • E. Błażejowska
    • J. M. Zimodro
    • T. Figatowski
    • A. Brzeski
    • T. Dziubich
    • J. Parzuchowski
    • A. Gąsecka
    • R. Targoński

    - Cardiology Journal - Rok 2023

    The functionality scope of the AngioScore tool in semi-automatic assessment of stenoses according to the SYNTAX scale was presented. An evaluation of the preliminary accuracy of AngioScore in lesion assessment was performed.

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  • Expert opinion on the effectiveness of protection against electric shock in case of fault in an installation for electric vehicles charging

    Publikacja

    - Rok 2018

    The opinion concerns the use of residual current devices for protection against electric shock by automatic disconnection of supply in a Norwegian installation intended for charging of electric vehicles.

  • The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000. Data from OSM.

    The process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].

  • Ethylene decomposition on TiO2 - UV and Fluorescence lamp

    Dane Badawcze
    open access

    Data contain chromatograms recorded during decomposition of ethylene flowing over TiO2 through the quartz tubular shape reactor. TiO2 was coated onto glass plates with dimension of 2cmx2cm, in total 3 plates were used and placed inside reactor. Reactor was irradiated by UV (Special 'TL'E, Philips) or fluorescent (Lumilux, OSRAM) 3 ring-shaped lamps,...

  • EXPERIMENTAL STUDY OF A TEMPORARY STEEL GRANDSTAND UNDER CROWD LOAD

    Publikacja

    Temporary structures, such as grandstands, are commonly used during different types of mass events, especially sport and music concerts. In this paper, the results of the experimental study on temporary steel grandstand are presented. The aim of the investigation was to determine modal characteristics of such structures. Modes of free vibrations and corresponding natural frequencies have been obtained for empty and occupied grandstand....

  • A study on signal processing methods applied to hearing aids

    Publikacja

    - Rok 2016

    This paper presents a short survey on current technology available in hearing aids with a focus on digital signal processing techniques used. First, factors influencing the hearing aid effectiveness are introduced. Then, examples of the present DSP methods and strategies are provided. Also, a description of current limitations of hearing aids and future trends of development are shown. Finally, the notion of computational auditory...

  • Impact of Shifting Time-Window Post-Processing on the Quality of Face Detection Algorithms

    Publikacja

    - Rok 2018

    We consider binary classification algorithms, which operate on single frames from video sequences. Such a class of algorithms is named OFA (One Frame Analyzed). Two such algorithms for facial detection are compared in terms of their susceptibility to the FSA (Frame Sequence Analysis) method. It introduces a shifting time-window improvement, which includes the temporal context of frames in a post-processing step that improves the...

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  • Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning

    Publikacja

    The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental states (relaxation, excitation, and solving logical task). Blind source separation employing independent component analysis (ICA) was...

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  • System for characterisation and multidimensional imaging of seafloor using multibeam sonar data

    Publikacja

    Multibeam sonars are widely used in applications like high resolution bathymetry measurements, underwater object detection and imaging, etc. Also, they are the promising tool in seafloor characterisation and classification, having several advantages over conventional single beam echosounders. The proposed approach to seafloor classification relies on the combined use of three different techniques. In each of them, a set of descriptors...

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  • Review on Wikification methods

    Publikacja

    - AI COMMUNICATIONS - Rok 2019

    The paper reviews methods on automatic annotation of texts with Wikipedia entries. The process, called Wikification aims at building references between concepts identified in the text and Wikipedia articles. Wikification finds many applications, especially in text representation, where it enables one to capture the semantic similarity of the documents. Also, it can be considered as automatic tagging of the text. We describe typical...

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  • Neural Networks, Support Vector Machine and Genetic Algorithms for Autonomous Underwater Robot Support

    Publikacja

    - Rok 2014

    In this paper, artificial neural networks, a classification technique called support vector machine and meta-heuristics genetic algorithm have been considered for development in autonomous underwater robots. Artificial neural networks have been used for seabed modelling as well as support vector machine has been applied for the obstacles classification to avoid some collision problems. Moreover, genetic algorithm has been applied...

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  • Analiza ruchu drogowego z wykorzystaniem analizy akustycznej

    Tematyka pracy porusza zagadnienia dotyczące pozyskiwania informacji o ruchu drogowym z wykorzystaniem monitoringu akustycznego. Przybliżono podstawowe techniki nadzoru nad ruchem drogowym. Przedstawiono założenia akustycznego detektora ruchu i zbadano jego skuteczność na trzech płaszczyznach działania – zliczania pojazdów, klasyfikacji rodzajowej i klasyfikacji warunków pogodowych panujących na nawierzchni

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  • Paweł Rościszewski dr inż.

    Osoby

    Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

  • Akustyka sali koncertowej Szkoły Muzycznej w Gdyni - projekt i realizacja

    Publikacja

    - Rok 2015

    Omówiono zakres współpracy architekta, akustyka i projektanta wnętrza na przykładzie sali koncertowej Szkoły Muzycznej w Gdyni. Wskazano różnice między projektem akustycznym sali i projektem wnętrza. Podano zasady akustycznego projektowanie sali widowiskowej oraz znaczenie rozproszenia dźwięku dla jakości akustycznej sali. Przedstawiono zasady indywidualnego konstruowania ustrojów rozpraszających dźwięk oraz dostępne na rynku ustroje...

  • Sperm segmentation and abnormalities detection during the ICSI procedure using machine learning algorithms

    (1) About 15-20% of couples struggle with the problem of infertility. 30 to 40% of these cases are caused by abnormalities in the structure and motility of sperm. Sometimes the only possibility for such people is to use the procedure of artificial insemination. CASA systems are used to increase the efficiency of this procedure by selecting the appropriate sperm cell. (2) This paper presents an approach to the sperm classification...

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  • A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System

    Publikacja

    - Electronics - Rok 2021

    Machine 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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  • Michał Bernard Pietrzak dr hab.

           Michał Bernard Pietrzak jest kierownikiem Katedry Statystyki i Ekonometrii na Wydziale Ekonomii i Zarządzania Politechniki Gdańskiej oraz zastępcą redaktora naczelnego ds. oceny pod względem poprawności statystycznej czasopism: Oeconomia Copernicana i Equilibrium. Quarterly Journal of Economics and Economic Policy. Do października 2021 pracował na stanowisku profesora nadzwyczajnego na Wydziale Nauk Ekonomicznych i Zarządzania,...

  • Camera angle invariant shape recognition in surveillance systems

    Publikacja

    A method for human action recognition in surveillance systems is described. Problems within this task are discussed and a solution based on 3D object models is proposed. The idea is shown and some of its limitations are talked over. Shape description methods are introduced along with their main features. Utilized parameterization algorithm is presented. Classification problem, restricted to bi-nary cases is discussed. Support vector...

  • How Integration of a Brain-Machine Interface and Obstacle Detection System Can Improve Wheelchair Control via Movement Image

    Publikacja
    • T. Kocejko
    • N. Matuszkiewicz
    • J. Kwiatkowski
    • P. Durawa
    • A. Madajczak

    - SENSORS - Rok 2024

    This study presents a human-computer interaction combined with a brain-machine interface (BMI) and obstacle detection system for remote control of a wheeled robot through movement imagery, providing a potential solution for individuals facing challenges with conventional vehicle operation. The primary focus of this work is the classification of surface EEG signals related to mental activity when envisioning movement and deep relaxation...

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  • Audio Content and Crowdsourcing: A Subjective Quality Evaluation of Radio Programs Streamed Online

    Publikacja

    - Rok 2023

    Radio broadcasting has been present in our lives for over 100 years. The transmission of speech and music signals accompanies us from an early age. Broadcasts provide the latest information from home and abroad. They also shape musical tastes and allow many artists to share their creativity. Modern distribution involves transmission over a number of terrestrial systems. The most popular are analog FM (Frequency Modulation) and...

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  • Corrosion monitoring by harmonic analysis in aqueous environments

    This paper presents tests concerning the rate of corrosion in non-alloy steel (type S235JR) in an aqueous environment, with an additive of sodium chloride by means of polarization resistance measurements and harmonic analysis. The tests have been carried out for steel samples exposed to the testing environment for six weeks, in order to obtain a constant rate of corrosion in the function of time. The measurements have aimed at...

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  • The Innovative Faculty for Innovative Technologies

    A leaflet describing Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. Multimedia Systems Department described laboratories and prototypes of: Auditory-visual attention stimulator, Automatic video event detection, Object re-identification application for multi-camera surveillance systems, Object Tracking and Automatic Master-Slave PTZ Camera Positioning System, Passive Acoustic Radar,...

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  • Parameters optimization in medicine supporting image recognition algorithms

    Publikacja

    - Rok 2011

    In this paper, a procedure of automatic set up of image recognition algorithms' parameters is proposed, for the purpose of reducing the time needed for algorithms' development. The procedure is presented on two medicine supporting algorithms, performing bleeding detection in endoscopic images. Since the algorithms contain multiple parameters which must be specified, empirical testing is usually required to optimise the algorithm's...

  • Application of Support Vector Machine for Determination of Impact of Traffic-Induced Vibrations on Buildings

    The aim of the article is to present an algorithm of Support Vector Machine created to forecast the impact of traffic-induced vibrations on residential buildings. The method is designed to classify the object into one of two classes. The classification into the first class means that there is no impact of vibrations on the building, while classification to the second class indicates the possible influence and suggests the execution...

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  • CAD Integrated Architectural Design, MSc Arch (2023-24)

    Kursy Online
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • seafloor characterisation combined approach using multibeam sonar echo signal processing and image analysis

    Publikacja

    The authors propose the approach to seafloor characterisation which relies on the combined, concurrent use of two different techniques: (i) multibeam sonar image analysis and (ii) multibeam seabed echoes processing. The first technique is based on constructing the grey-level sonar images of the seabed extracted from the echoes received in the consecutive soundings. Then, the set of parameters describing the local region of sonar...

  • Discrimination of selected fungi species based on their odour profile using prototypes of electronic nose instruments

    Publikacja

    The paper presents practical application of an electronic nose technique to fast and efficient discrimination of the samples of different fungi species such as: Penicillium chrysogenum, Cladosporium herbarum, Rhizopus oryzae, Alternaria alternata. Two prototypes of electronic nose instrument were utilized for investigation of discrimination capability with respect to odour profile of these fungi: the first prototype was based on...

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  • Novel analytical method for detection of orange juice adulteration based on ultra-fast gas chromatography

    The food authenticity assessment is an increasingly important issue in food quality and safety. The application of an electronic nose based on ultra-fast gas chromatography technique enables rapid analysis of the volatile compounds from food samples. Due to the fact that this technique provides chemical profiling of natural products, it can be a powerful tool for authentication in combination with chemometrics. In this article,...

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  • Examining Influence of Distance to Microphone on Accuracy of Speech Recognition

    The problem of controlling a machine by the distant-talking speaker without a necessity of handheld or body-worn equipment usage is considered. A laboratory setup is introduced for examination of performance of the developed automatic speech recognition system fed by direct and by distant speech acquired by microphones placed at three different distances from the speaker (0.5 m to 1.5 m). For feature extraction from the voice signal...

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  • Design of synchronous generator two inputs regulator based on hinf control theory.

    Publikacja

    - Rok 2004

    The power system is highly nonlinear system, its dynamics depends on system network configuration, system loading… etc. To overcome the above mentioned difficulties and fulfill the performance requirements the different control methods are considered and tested for design of synchronous generator control system. Application of the H optimization method to synchronous generator regulator based on measurement of generator voltage...

  • AKUSTYCZNY ASPEKT ZASTOSOWANIA BLACHY KORTENOWEJ W EUROPEJSKIM CENTRUM SOLIDARNOŚCI W GDAŃSKU

    Publikacja

    Artykuł opisuje użycie blachy kortenowej jako dominującego materiału wykończeniowego na elewacjach i we wnętrzach budynku o przesłaniu symbolicznym. Przedstawiono architektoniczne przesłanki, uzasadniające jednorodność zastosowanego materiału. Na tym tle omówiono wpływ blachy kortenowej na akusty-kę pomieszczeń, wraz z podaniem kroków zaradczych redukujących nadmierną pogłosowość i zwiększających stopień rozproszenia dźwięku. Pozytywnym...

  • SkinDepth - synthetic 3D skin lesion database

    Dane Badawcze
    wersja 1.0 open access

    SkinDepth is the first synthetic 3D skin lesion database. The release of SkinDepth dataset intends to contribute to the development of algorithms for:

  • Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate-blood pressure coupling quantified by entropy-based indices

    Publikacja

    - CHAOS - Rok 2023

    We introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The purpose of the method is to build a classifier for data in which each item consists of two intertwined data series taken for each subject. The method is based on ordinal patterns and uses entropy-like indices. Machine learning is used to select a subset...

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  • Agnieszka Mikołajczyk-Bareła dr inż.

    Osoby

  • Installation of Compensators in the Power System Transmission Grid

    Publikacja

    - Acta Energetica - Rok 2019

    The article discusses issues of reactive power compensation in transmission grids, with particular focus on the selection of compensator locations and basic parameters. Attention was focused on modern power electronics systems that ensure full automatic compensator adjustment to voltage or power criteria.

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  • Jacek Krenz dr hab. inż. arch.

    Ur. 11 maja 1948 w Poznaniu – polski architekt, malarz, profesor Wydziału Architektury Politechniki Gdańskiej, Wydziału Architektury, Inżynierii i Sztuki Sopockiej Szkoły Wyższej, W latach 70. członek Grupy Kadyńskiej, skupiającej plastyków i architektów związanych z Międzynarodowymi Plenerami "Ceramika dla architektury" w Kadynach. W roku 1980 uzyskał stopień doktora, a w 1997 – doktora habilitowanego. Prowadzi badania na temat...

  • Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations

    Publikacja

    Deployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...

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  • Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing

    Artykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...

  • Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling

    Publikacja

    - Rok 2021

    A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker. This approach makes two simplifying assumptions: a) phonemes can be recognized from speech with high accuracy, b) there is a single correct way for a sentence to be pronounced. These assumptions do not always hold, which can result...

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  • Exploring Stock Traders’ Cognitive Biases: Research Design and Simulator Framework

    Publikacja

    - Rok 2023

    Cognitive bias is a phenomenon that has been extensively studied in stock trading and many other fields. This paper presents a framework for a Mobile Stock Trading Simulator (MSTS) that facilitates automatic investment in stocks with minimal human influence, by investigating the behavioral patterns and cognitive errors of stock market investors. The paper aims to determine whether investors’ investment strategies can be improved...

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  • Spectral measurement of birefringence using particle swarm optimization analysis

    The measurement of birefringence is useful for the examination of both technical and biological objects. One of the main problems is that the polarization state of light in birefringent media changes periodically. Without the knowledge of the period number, the birefringence of a given medium cannot be determined reliably. We propose to analyse the spectrum of light in order to determine the birefringence. We use a Particle Swarm...

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  • Mateusz Gerigk dr inż. arch.

    Mateusz Gerigk (dr inż. arch.) urodzony 1987 roku w Gdyni. W 2006 roku ukończył Liceum Ogólnokształcące nr 2 im. A. Mickiewicza w Gdyni oraz Społeczną Szkołę Muzyczną II st. im. Z. Noskowskiego w Gdyni. W 2011 roku ukończył jednolite studia magisterskie na kierunku Architektura i Urbanistyka na Wydziale Architektury Politechniki Gdańskiej. W 2018 obronił doktorat w dziedzinie Architektura i Urbanistyka pt. Wielokryterialne projektowanie...

  • Aestheticization of Flowcharts

    Publikacja

    - Rok 2008

    One of the important issues of diagrams is their aesthetics. In this paper a method of its formalization for freehand drawn flowcharts is proposed. In order to formalize the evaluation of flowcharts' aesthetics a criterion consisting of several measures is proposed. Based on this criterion the algorithms for automatic optimization of flowcharts' appearance are proposed.

  • Emotion Recognition for Affect Aware Video Games

    In this paper the idea of affect aware video games is presented. A brief review of automatic multimodal affect recognition of facial expressions and emotions is given. The first result of emotions recognition using depth data as well as prototype affect aware video game are presented

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  • Badanie wierności brzmienia dźwięku instrumentów wirtualnych VST/TRTAS

    Publikacja

    Tematem referatu jest subiektywne badanie wierności brzmienia instrumentów wirtualnych (VST/TRTAS) wykorzystujących próbkowanie dźwięków rzeczywistych instrumentów muzycznych. Na potrzeby przedstawionej pracy wybrano kilka utworów muzyki orkiestrowej z epoki romantyzmu i klasycyzmu, nagranych przy użyciu instrumentów akustycznych. Następnie zaaranżowano fragmenty tych utworów, wykorzystując do tego instrumenty wirtualne i efekty...

  • Acoustic radar employing particle velocity sensors

    Publikacja

    - Rok 2010

    A concept, practical realization and applications of a passive acoustic radar to automatic localization, tracking of sound sources were presented in the paper. The device consist of the 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 surroundings sounds it provide information about the...

  • Dominika Wróblewska dr inż. arch.

    Dr inż. arch. Dominika Wróblewska, profesor uczelni uzyskała tytuł doktora nauk technicznych w 2000 roku. Od 2002 roku rozpoczęła pracę na wydziale Budownictwa Wodnego i Inżynierii Środowiska na Politechnice Gdańskiej (obecnie wydział Inżynierii Lądowej i Środowiska) na stanowisku adiunkta. Od  2019 roku  pracuje na stanowisku profesora uczelni. Obszary zainteresowań to zmiany wprowadzanie edukacji opartej na interdyscyplinarnym...

  • Examining Feature Vector for Phoneme Recognition / Analiza parametrów w kontekście automatycznej klasyfikacji fonemów

    Publikacja

    - Rok 2017

    The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

  • A Device for Measuring Auditory Brainstem Responses to Audio

    Standard ABR devices use clicks and tone bursts to assess subjects’ hearing in an objective way. A new device was developed that extends the functionality of a standard ABR audiometer by collecting and analyzing auditory brainstem responses (ABR). The developed accessory allows for the use of complex sounds (e.g., speech or music excerpts) as stimuli. Therefore, it is possible to find out how efficiently different types of sounds...

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  • Seafloor characterisation using multibeam sonar echo signal processing and image analysis

    The authors propose the approach to multibeam seafloor characterisation which relies on the combined, concurrent use of two different techniques of multibeam sonar data processing. The first one is based on constructing the grey-level sonar images of seabed using the echoes received in the consecutive beams. Then, the parameters describing the local region of sonar image, namely, the local standard deviation of a grey level, and...

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