Search results for: audio processing objects - Bridge of Knowledge

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Search results for: audio processing objects

Search results for: audio processing objects

  • Przetwarzanie Rozproszone 2021/2022

    e-Learning Courses
    • J. Cychnerski
    • P. Weichbroth
    • A. Domagalska
    • M. Matuszek
    • P. Dryja
    • T. Gajger
    • A. Brzeski
    • J. Kuchta
    • A. Królicka-Gałązka
    • T. Cejrowski
    • S. Olewniczak

    {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

  • Przetwarzanie Rozproszone 2022/2023

    e-Learning Courses
    • J. Cychnerski
    • A. Domagalska
    • M. Matuszek
    • J. Kuchta
    • J. Szłapczyńska
    • A. Królicka-Gałązka

    {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

  • Przetwarzanie Rozproszone 2023/2024

    e-Learning Courses
    • J. Cychnerski
    • A. Domagalska
    • M. Matuszek
    • J. Kuchta
    • J. Szłapczyńska
    • A. Królicka-Gałązka
    • J. Majkutewicz
    • R. Kałaska

    {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

  • Resolving conflicts in object tracking for automatic detection of events in video

    An algorithm for resolving conflicts in tracking of moving objects is presented. The proposed approach utilizes predicted states calculated by Kalman filters for estimation of trackers position, then it uses color and texture descriptors in order to match moving objects with trackers. Problematic situations, such as splitting objects, are addressed. Test results are presented and discussed. The algorithm may be used in the system...

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  • DPCTM Data Processing Centre - Task Manager (DPCTM) product

    Projects

    Project manager: dr hab. inż. Marek Moszyński   Financial Program Name: Europejska Agencja Kosmiczna

    Project realized in Department of Geoinformatics

  • Review of Segmentation Methods for Coastline Detection in SAR Images

    Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of interest on the surface of the Earth, including coastlines. The coastal zone is of great economic importance and is also very densely populated. The intensive and increasing use of coasts and changes of coastlines motivate researchers to try to assess...

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  • Evaluation of a Novel Approach to Virtual Bass Synthesis Strategy

    Publication

    - Year 2015

    The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) strategy applied to portable computers. The developed algorithms involve intelligent, rule-based settings of bass synthesis parameters with regard to music genre of an audio excerpt and the type of a portable device in use. The Smart VBS algorithm performs the synthesis based on a nonlinear device (NLD) with artificial controlling synthesis...

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  • Estimation of object size in the calibrated camera image = Estymacja rozmiaru obiektów w obrazach ze skalibrowanej kamery

    In the paper, a method of estimation of the physical sizes of the objects tracked by the camera is presented. First, the camera is calibrated, then the proposed algorithm is used to estimate the real width and height of the tracked moving objects. The results of size estimation are then used for classification of the moving objects. Two methods of camera calibration are compared, test results are presented and discussed. The proposed...

  • Classification of Music Genres by Means of Listening Tests and Decision Algorithms

    The paper compares the results of audio excerpt assignment to a music genre obtained in listening tests and classification by means of decision algorithms. A short review on music description employing music styles and genres is given. Then, assumptions of listening tests to be carried out along with an online survey for assigning audio samples to selected music genres are presented. A framework for music parametrization is created...

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

    e-Learning Courses
    • 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...

  • Iwona Kochańska dr hab. inż.

    Iwona Kochańska is a graduate of Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. She received M.Sc. degree in Automation Control and Robotics, specializing in the mobile objects control. In 2012 she received Ph.D. degree in hydroacoustics. In the same year she started working as an assistant professor in the Department of Marine Electronic Systems. The main area of interest is hydroacoustis, ...

  • Zaawansowane Przetwarzanie Sygnału

    e-Learning Courses
    • A. Szewczyk
    • J. Smulko

    Przedmiot prezentuje wybrane metody przetwarzania sygnałów w bardzo szerokim obszarze zastosowań. Ilustruje najnowsze osiągnięcia w tym zakresie, wsparte wybranymi publikacjami. Zajęcia są podzielone na wykład (15 h) i seminarium (15 h). Podstawowe pojęcia dotyczące cyfrowego przetwarzania sygnałów, zalecana literatura Analiza widmowa gęstość widmowa mocy, widmo falkowe, polispektra i gęstość widmowa mocy skrośnej Efekty...

  • Music genre classification applied to bass enhancement for mobile technology

    The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm is related to intelligent, rule-based setting of synthesis parameters according to music genre of an audio excerpt. The classification of music genres is automatically executed employing MPEG 7 parameters and the Principal Component Analysis method applied to reduce information...

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  • Machine learning applied to acoustic-based road traffic monitoring

    The motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...

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  • Machine learning applied to acoustic-based road traffic monitoring

    Publication

    - Year 2022

    The motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...

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  • International Symposium on Information Processing

    Conferences

  • European Signal Processing Conference

    Conferences

  • Workshop on Quantum Information Processing

    Conferences

  • Information Processing in Sensor Networks

    Conferences

  • International Conference on Parallel Processing

    Conferences

  • IFIP Congress (Information Processing)

    Conferences

  • Michał Ryms dr inż.

    Michał Ryms, PhD, Eng. is the physicist, graduate of the Gdańsk University of Technology. PhD thesis defended at the Chemical Faculty. Since 2011 an employee at the Department of Chemical Apparatus and Theory of Machines, Chemical Faculty, Gdansk University of Technology, POLAND – now as an assistant professor. His research interests includes: improvement of energy efficiency and possibilities of new application of phase change...

  • Study Analysis of Transmission Efficiency in DAB+ Broadcasting System

    Publication

    - Year 2018

    DAB+ is a very innovative and universal multimedia broadcasting system. Thanks to its updated multimedia technologies and metadata options, digital radio keeps pace with changing consumer expectations and the impact of media convergence. Broadcasting analog and digital radio services does vary, concerning devices on both transmitting and receiving side, as well as content processing mechanisms. However, the biggest difference is...

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  • Akustyczna analiza natężenia ruchu drogowego dla systemów zarządzania ruchem

    Publication

    - Year 2019

    W pracy przybliżono wybrane zagadnienia z dziedziny zarządzania transportem drogowym w Polsce i na świecie. W tym kontekście pzredstawiono potrzeby rynkowe, wymagania jak i możliwości w zakresie pozyskiwania informacji o aktualnym stanie sieci drogowych. Zaproponowano akustyczną metodę nadzorowania ruchu drogowego i jej możliwości w kontekście systemów zarządzania ruchem. Przedstawiono schemat akwizycji sygnału wraz z danymi odniesienia....

  • A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage

    Over the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant improvements in mapping, imaging and technologies of seafloor exploration. Recently, modern multibeam echosounder systems (MBES) capable of recording backscatter data for the whole water column, not just for the seabed, have become available thus providing data allowing for...

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  • Application of the Optimum Dataset Method in Archeological Studies on Barrows

    Publication

    - Year 2018

    Light Detection and Ranging (LiDAR) became one of the technologies used in archaeological research. It allows for relatively easy detection of archaeological sites that have their own field form, e.g.: barrows, fortresses, tracts, ancient fields [1]. As a result of the scanning, the so-called point cloud is obtained, often consisting of millions of points. Such large measurement datasets are very time-consuming and labor-intensive...

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  • Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

    Publication
    • R. Yurt
    • H. Torpi
    • P. Mahouti
    • A. Kizilay
    • S. Kozieł

    - IEEE Access - Year 2023

    This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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  • Non-Destructive Diagnostics of Concrete Beams Strengthened with Steel Plates Using Modal Analysis and Wavelet Transform

    Publication

    Externally bonded reinforcements are commonly and widely used in civil engineering objects made of concrete to increase the structure load capacity or to minimize the negative effects of long-term operation and possible defects. The quality of adhesive bonding between a strengthened structure and steel or composite elements is essential for effective reinforcement; therefore, there is a need for non-destructive diagnostics of adhesive...

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  • A Reduction Method for Bathymetric Datasets that Preserves True Coastal Water Geodata

    Publication

    - Remote Sensing - Year 2019

    Water areas occupy over 70 percent of the Earth’s surface and are constantly subject to research and analysis. Often, hydrographic remote sensors are used for such research, which allow for the collection of information on the shape of the water area bottom and the objects located on it. Information about the quality and reliability of the depth data is important, especially during coastal modelling. In-shore areas are liable...

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  • Open smart glasses development platform for AAL applications

    Publication

    - Year 2017

    This paper describes an open platform for multi sensory electronic glasses that supports new and enhanced methods for intelligent interaction with patients, with smart objects, or to be used as new data input modalities like proximity sensor or smart textile interfaces. All the activities have been developed, investigated and evaluated within EU CHIST-ERA eGlasses project...

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  • Special forms of echo visual representation in an ahead looking sonar.

    The paper discusses ways to organise visual representation in a multi-beam ahead looking sonars whose function is to detect objects on the bottom and in pelagic zones. Forms of visual representation are shown and illustrated on the basic screen (panoramic representation and setting, alarms) and on the auxiliary screen (type A, B and special). Special forms of visual representation are mainly used in detecting objects in difficult...

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  • Research into the Movements of Surface Water Masses in the Basins Adjacent to the Port

    Publication

    - Year 2016

    This paper presents the results of the practical and simulation research into determining the routes of movement of small objects moving together with surface water masses in basins adjacent to the port. The results of this research were referenced against the modelling of routes of small objects in port channel basins. The results of practical research concerning the movement of small objects in basins adjacent to the port were...

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  • Detection of vehicles stopping in restricted zones in video from surveillance cameras

    Publication

    - Year 2014

    An algorithm for detection of vehicles that stop in restricted areas, e.g. excluded by traffic rules, is proposed. Classic approaches based on object tracking are inefficient in high traffic scenes because of tracking errors caused by frequent object merging and splitting. The proposed algorithm uses the background subtraction results for detection of moving objects, then pixels belonging to moving objects are tested for stability....

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  • MINERAL MATTER IN MUNICIPAL SOLID WASTE

    Municipal solid waste (MSW) contains mineral materials which are seldom considered as a potential resource. Currently, the waste management sector pays attention to recyclable parts, biodegradable material, waste-to-energy fraction, and residues after waste reuse and recycle. In contrast, this study focus as on the mineral matter in MSW. The aim was to analyze and discuss the sources of mineral matter in MSW, the impact which the...

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  • Time for temporariness! Temporary architecture - whim or necessity?

    Publication

    - Year 2016

    What are the qualities of temporary architectural objects that make them helpful instruments for evolving the image of contemporary urban space? Six hypotheses provide rationales for why current temporary architecture seems to be a remedy for dysfunctional city structures. The research was limited to the temporary architectural objects constructed in open-air city zones, including the architecture of events. The temporary objects'...

  • Sacral sound-engineering

    Publication

    Organologic and campanologic acoustical problems due to applications to sacral objects are characterized on ground of numerous reviewed publications and engineering reports. Participations of several involved research centres, mostly Polish, at solving these problems are evaluated. Some desirable future developments are indicated. Appendices bring examples of documentation on selected investigated objects.

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  • Henryk Krawczyk prof. dr hab. inż.

    Dyscyplina naukowa: informatyka Sprawował urząd rektora od 2008 do 2016. Urodził się 20 maja 1946 r. w Dybowie. Studia wyższe ukończył w 1969 r. na Wydziale Elektroniki Politechniki Gdańskiej, uzyskując tytuł magistra inżyniera w zakresie informatyki. W latach 1969–1972 pracował w Przemysłowym Instytucie Telekomunikacji. W 1972 r. rozpoczął pracę na Wydziale Elektroniki Politechniki Gdańskiej, gdzie w 1976 r. uzyskał doktorat,...

  • Sparse autoregressive modeling

    Publication

    - Year 2012

    In the paper the comparison of the popular pitch determination (PD) algorithms for thepurpose of elimination of clicks from archive audio signals using sparse autoregressive (SAR)modeling is presented. The SAR signal representation has been widely used in code-excitedlinear prediction (CELP) systems. The appropriate construction of the SAR model is requiredto guarantee model stability. For this reason the signal representation...

  • An Approach to Bass Enhancement in Portable Computers Employing Smart Virtual Bass Synthesis Algorithms

    Publication

    The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The developed algorithms are related to intelligent, rule-based setting of synthesis parameters according to music genre of an audio excerpt and to the type of a portable device in use. To find optimum synthesis parameters of the VBS algorithms, subjective listening tests based on a parametric procedure...

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  • Distributed Framework for Visual Event Detection in Parking Lot Area

    The paper presents the framework for automatic detection of various events occurring in a parking lot basing on multiple camera video analysis. The framework is massively distributed, both in the logical and physical sense. It consists of several entities called node stations that use XMPP protocol for internal communication and SRTP protocol with Jingle extension for video streaming. Recognized events include detecting parking...

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  • Marek Czachor prof. dr hab.

  • Advances in Neural Information Processing Systems (Advances in Neural Information Processing Systems [NIPS])

    Conferences

  • Innovative method of localization airplanes in VCS (VCS-MLAT) distributed system

    Publication

    - Year 2019

    The article presents the concept and the structure of the localization module. The prototype module is the part of the VCS (VCS-MLAT) localization distributed system. The device receives the audio signal transmitted in airplanes band (118 MHz – 136 MHz). Received data with the timestamps are send to the main server. The data from multiple devices estimates the localization of the airplane. The main aim of the project is the analysis...

  • The use of mathematical models for diagnosis of activated sludge systems in WWTP

    Publication

    - E3S Web of Conferences - Year 2017

    In this study diagnosis of activated sludge systems in wastewater treatment plant (WWTP) was investigated. Diagnosis of technical objects can be realized in many ways. One of the divisions of the diagnostic methods include modelling with or without a model of the object. The first of these is the analysis of the symptoms for which, based on the parameter values, the abnormality in the diagnosed objects are sought. Another way is...

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  • Historical Wreck Inventory

    Open Research Data
    open access
    • P. Tysiąc
    • J. Dankowska
    • R. Khudoley
    • F. Kowalewski
    • P. Kucharski
    • D. Michalska
    • J. Mioduszewski
    • K. Miszewska
    • M. Myszk
    • M. Pachulska
    • O. Zygmuntowicz

    The measurement solution results in a point cloud obtained from the Leica P30 laser scanner. Another element is the processing of photos into point clouds with the Zenmuse P1 camera of the unmanned Matrice 300 RTK aircraft. The measurement provides complete geometrical information about the wreck. The measurement took place as part of the Photogrammetry...

  • AITP - AI Thermal Pedestrians Dataset

    Open Research Data
    open access
    • A. Górska
    • P. Guzal
    • I. Namiotko
    • A. Wędołowska
    • M. Włoszczyńska
    • J. Rumiński

    AITP is a pedestrian detection dataset consisting of 9178 annotated thermal images. The training set contains 7801 images on which15448 pedestrians were labeled.  The test set has 1377 images on which 2731 objects were marked. All images are in PNG file format (120x160) captured with FLIR Lepton Thermal Camera on the streets of Gdańsk, Poland. All pedestrians...

  • Literature Review on Conceptualisation of Online Consumer Engagement

    Publication

    - Handel Wewnętrzny - Year 2017

    The purpose of the current study is to develop a literature review on “online consumer engagement” (OCE). Articles from 2006 to 2016 published in the marketing journals and other related journals have been reviewed to summarise the OCE concept. Although there is not an agreed definition and conceptualisation of OCE, this study classified the concept as either behavioural or psychological within the dimensions of cognitive, emotional,...

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  • Subjective and Objective Comparative Study of DAB+ Broadcast System

    Broadcasting services seek to optimize their use of bandwidth in order to maximize user’s quality of experience. They aim to transmit high-quality digital speech and music signals at the lowest bitrate. They intend to offer the best quality under available conditions. Due to bandwidth limitations, audio quality is in conflict with the number of transmitted radio programs. This paper analyzes whether the quality of real-time digital...

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  • Cross-domain applications of multimodal human-computer interfaces

    Publication

    - Year 2015

    Developed multimodal interfaces for education applications and for disabled people are presented, including interactive electronic whiteboard based on video image analysis, application for controlling computers with mouth gestures and audio interface for speech stretching for hearing impaired and stuttering people and intelligent pen allowing for diagnosing and ameliorating developmental dyslexia. The eye-gaze tracking system named...

  • Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

    Publication

    - Year 2021

    This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...

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