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Search results for: RETENTION CURVE
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Deep learning-based waste detection in natural and urban environments
PublicationWaste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, both for economic and ecological reasons, and the industry demands high efficiency. Current studies towards automatic waste detection are hardly comparable due to the lack of benchmarks and widely accepted standards regarding the used metrics and data. Those problems are addressed in this article by...
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Comparison of thresholding algorithms for automatic overhead line detection procedure
PublicationThe article presents an overview of the thresholding algorithms. It compares the algorithms proposed by Pun, Kittler, Niblack, Huang, Rosenfeld, Remesh, Lloyd, Riddler, Otsu, Yanni, Kapur and Jawahar. Additionally, it was tested how the tuning of the Pun, Jawahar and Niblack methods affects the thresholding efficiency and proposed a combination of the Pun algorithm with a priori algorithm. All presented algorithms have been implemented...
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Damage detection in plates based on Lamb wavefront shape reconstruction
PublicationMany of the current studies in the area of damage detection using elastic wave propagation are based on deploying sensor networks with a large number of piezoelectric transducers to detect small-size cracks. A major limitation of these studies is that cracks are usually larger and have different shapes in real cases. Moreover, using a large number of sensing nodes for damage detection is both costly and computationally intensive....
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Overhead wires detection by FPGA real-time image processing
PublicationThe paper presents design and hardware implementation of real-time image filtering for overhead wires detection divided on image processing and results presentation blocks. The image processing block was separated from the whole implementation, and its delay and hardware complexity was analysed. Also the maximum frequency of image processing of the proposed implementation was estimated.
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Application of method of differential magnetometric system for detection of sunken objects
PublicationThis paper presents a magnetometric system with scalar sensors mounted on two independent platforms, which is used to detect sunken shipwrecks. Increasing the distance between the sensors allows for more precise measurement of the difference in the magnetic induction module than in the case of sensors mounted e.g. on the aeroplane’s wings. This type of system makes it possible to enlarge detection range of the sunken wrecks.
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Texture Features for the Detection of Playback Attacks: Towards a Robust Solution
PublicationThis paper describes the new version of a method that is capable of protecting automatic speaker verification (ASV) systems from playback attacks. The presented approach uses computer vision techniques, such as the texture feature extraction based on Local Ternary Patterns (LTP), to identify spoofed recordings. Our goal is to make the algorithm independent from the contents of the training set as much as possible; we look for the...
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Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
PublicationWe present a novel deep learning model for the detection and reconstruction of dysarthric speech. We train the model with a multi-task learning technique to jointly solve dysarthria detection and speech reconstruction tasks. The model key feature is a low-dimensional latent space that is meant to encode the properties of dysarthric speech. It is commonly believed that neural networks are black boxes that solve problems but do not...
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Intergranular Corrosion Detection Using Electromagnetic Transducers for Ultrasonic Testing
PublicationThe aim of this paper is to create a research methodology that allows a quick analysis of the structural state of high alloy austenitic steels using non-destructive ultrasonic tests, in contrast to destructive standard methods. Electromagnetic acoustic transducers (EMAT) are used to generate and receive the ultrasonic wave and detect the microstructural changes caused by sample sensitization in elevated temperature, even after...
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Compressive Sensing Approach to Harmonics Detection in the Ship Electrical Network
PublicationThe contribution of this paper is to show the opportunities for using the compressive sensing (CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship’s electrical network, polluted by harmonic distortions, can be modeled as a superposition of a small number of sinusoids and the discrete Fourier transform (DFT) basis forms its sparse domain. According to the theory of CS, a signal may be reconstructed...
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Receiver of Doppler multistatic system for moving target detection and tracking
PublicationThe article presents a method for solving major structural problems that occur in the receiver used in the multistatic Doppler system, aimed at determination of the trajectory and velocity of a moving target. In the system two transmitters emit acoustic continuous sinusoidal waves at different frequencies. The signals, scattered from a moving target are received by four hydrophones. Beside of the echoes, much larger signals coming...
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Histogram of Oriented Gradients with Cell Average Brightness for Human Detection
PublicationA modification of the descriptor in a human detector using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) is presented. The proposed modification requires inserting the values of average cell brightness resulting in the increase of the descriptor length from 3780 to 3908 values, but it is easy to compute and instantly gives ≈ 25% improvement of the miss rate at 10‒4 False Positives Per Window (FPPW). The...
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Damage detection strategies based on propagation of guided elastic waves
PublicationW pracy przedstawiono wyniki symulacji numerycznych oraz badań eksperymentalnych nad wykorzystaniemprowadzonych falsprężystych do wykrywania ilokalizacji uszkodzeń w dwu i trójwymiarowych elementach konstrukcyjnych wykonanych z materiałów izotropowych i kompozytowych.
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Ionosphere variability I: Advances in observational, monitoring and detection capabilities
PublicationThe paper aims to review recent advances regarding the observational and monitoring capabilities of the ionization conditions in the Earth's upper atmosphere. The analysis spans both ground and space-based experiments, seeking for new installations and/or missions, new or upgraded instrumentation and/or observational network establishments as means for advancing current understanding and prediction ability of the ionosphere variability....
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Autoencoder application for anomaly detection in power consumption of lighting systems
PublicationDetecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...
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Detection of debonding in adhesive joints using Lamb wave propagation
PublicationAdhesively bonded joints are widely used in many branches of industry. Mechanical degradation of this type of connections does not have significant symptoms that can be noticed during visual assessment, so non-destructive testing becomes a very important issue. The paper deals with experimental investigations of adhesively bonded steel plates with different defects. Five samples (an intact one and four with damages in the form...
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Detection of the First Component of the Received LTE Signal in the OTDoA Method
PublicationIn a modern world there is a growing demand for localization services of various kinds. Position estimation can be realized via cellular networks, especially in the currently widely deployed LTE (Long Term Evolution) networks. However, it is not an easy task in harsh propagation conditions which often occur in dense urban environments. Recently, time-methods of terminal localization within the network have been the focus of attention,...
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COVID‐19: A systematic review and update on prevention, diagnosis, and treatment
PublicationSince the rapid onset of the COVID-19 or SARS-CoV-2 pandemic in the world in 2019, extensive studies have been conducted to unveil the behavior and emission pattern of the virus in order to determine the best ways to diagnosis of virus and thereof formulate effective drugs or vaccines to combat the disease. The emergence of novel diagnostic and therapeutic techniques considering the multiplicity of reports from one side and contradictions...
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Detection of dental lessions by means of immittance measurements - an in vitro study
PublicationW pracy przedstawiono stanowisko do badań in vitro przewodności tkanek zęba.
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Damage detection in composite truss structure by application of elastic waves.
PublicationW pracy przedstawiono zastosowanie fal sprężystych do detekcji pęknięć zmęczeniowych w konstrukcjach kompozytowych.
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Spectral plate element for crach detection with use of propagation wares.
PublicationW pracy przedstawiono model płyty oparty na metodzie elementów spectralnych. Przedstawiono wyniki analizy interakcji pęknięcia zmęczeniowego i propagującej się fali.
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High accuracy and octave error immune pitch detection algorithms.
PublicationW publikacji przedstawiona została metoda poprawiająca dokładność estymacji częstotliwości podstawowej dźwięków naturalnych i syntetycznych. Opracowany algorytm wykorzystuje sztczną sieć neuronową. Dodatkowo przedstawiony został algorytm zoptymalizowany pod kątem błędów oktawowych, operujący w dziedzinie częstotliwości. Przedstawiona metoda jest bardzo skuteczna zarówno dla sygnałów harmonicznych o znaczącej energii poszczególnych...
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The methods of fretting wear prevention in machine elements : chapter 9
PublicationOpisano skutki procesu frettingu w elementach maszyn i warunki ich wystąpienia. Przedstawiono przegląd metod zapobiegania zużyciu frettingowemu i jego ograniczania. Opisano laboratoryjne badania zużywania frettingowego wybranych skojarzeń w warunkach umożliwiających ograniczanie zużycia.
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Evaluation of wow defects based on tonal components detection and tracking
PublicationReferat przedstawia opis metody wyznaczania charakterystyki pasożytniczego kołysania dźwięku. W metodzie wykorzystuje się informacje o zmianach tonalnych składowych dźwięku wyszukiwanych w kolejnych ramkach czasowych. Komponenty tonalne z poszczególnych ramek łączone są w ścieżki. Na podstawie tych trajektorii tworzona jest krzywa PVC obrazująca pasożytnicze zmiany dźwięku. Krzywa PVC może być wykorzystana do usunięcia pasożytniczego...
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Development of visual evoked potentials detection algorithm for objective perimetry
PublicationOpisano nową propozycję algorytmu detekcji potencjałów wzrokowych w zapisie EEG. Nowy algorytm bazuje na dekompozycji statystycznej ICA. Algorytm wstępnie przetestowano na danych eksperymentalnych.
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Damage detection in elements of strutures by the elastic wave propagation method.
PublicationW pracy przedstawiono wyniki badań dotyczace wykorzystania fal sprężystych do detekcji uszkodzeń i jedno i dwu wymiarowych elementach konstrukcyjnych.
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Analityczna weryfikacja dokładności komercyjnych programów komputerowych wspomagających projektowanie układów geometrycznych toru
PublicationW pracy podjęto próbę wyjaśnienia kwestii uzyskiwanej dokładności w projektowaniu układów geometrycznych toru z wykorzystaniem komercyjnych programów komputerowych typu CAD. Użytkownikowi najczęściej nie są znane zasady działania tych programów, w tym również wykorzystywane algorytmy obliczeniowe. Opisano w sposób ogólny funkcjonowanie dwóch wiodących programów. Przedstawiono własną, analityczną metodę projektowania układów torowych,...
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Joanna Wolszczak-Derlacz dr hab.
PeopleI am an Associate Professor at Gdańsk University of Technology, Faculty of Management and Economics. I gained my PhD in July 2006 for which I received the Polish Prime Ministry’s Award for the outstanding doctoral thesis. Between 2007 and 2008, I was a beneficiary of the Max Weber Fellowship at the European University Institute in Florence, Italy. I conducted part of my research at the Katholieke Universiteit Leuven, Belgium...
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Annales Universitatis Mariae Curie-Skłodowska Sectio I Philosophia-Sociologia
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ANNALES UNIVERSITATIS MARIAE CURIE-SKŁODOWSKA, SECTIO DD: MEDICINA VETERINARIA
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Tagged images with LEGO bricks - Plates Round Curved and Dishes
Open Research DataThe set contains images of LEGO bricks (from Plates Round Curved and Dishes category). The images were prepared for training neural network for recognition and labeling of LEGO bricks. The images contain one brick each. The images were taken from different sides by handheld camera hovering over the bricks lying on a white, non reflective surface.
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Cyclic voltammetry curves of the V2O5 nanorods (Na-ion batteries)
Open Research DataThe DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanorods obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Na/Na+ at a scan rate of 1 mV/s. As an electrolyte 1M NaPF6 was applied.
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Cyclic voltammetry curves of the V2O5 nanorods (Li-ion batteries)
Open Research DataThe DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Li/Li+ at a scan rate of 1 mV/s. The results show that in the subsequent cycles,...
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Cyclic voltammetry curves of the V2O5 nanocrystals (Na-ion batteries)
Open Research DataThe DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Na/Na+ at a scan rate of 1 mV/s. As an electrolyte 1M NaPF6 was applied.
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Cyclic voltammetry curves of the V2O5 nanocrystals (Li-ion batteries)
Open Research DataThe DataSet contains the next thirty cycles voltammetry curves for the V2O5 nanocrystals obtained by the sol-gel method. The cyclic voltammetry was measured using the AUTOLAB 302N potentiostat-galvanostat. The measurements were carried out in a voltage range of 2 V to 4 V vs. Li/Li+ at a scan rate of 1 mV/s. The results show that in the subsequent cycles,...
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Combustion characteristics and retention-emission of selenium during co-firing of torrefied biomass and its blends with high ash coal
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Functional nuclear retention of pre-mRNA involving Cajal bodies during meiotic prophase in European larch (Larix decidua)
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Analysis of the Impact of Charging Electric Cars on the Power System Load
PublicationThe paper presents ways of integrating electric cars with the power system. In connection with this, daily load curves in the average working day have been developed in the G2V (Grid-to-Vehicle) and V2G (Vehicle-to-Grid) variants. The G2V solution consists in unidirectional energy flow from the power system to a vehicle’s battery. The V2G solution consists in bi-directional energy exchange between the power system and electric...
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Katarzyna Wojan dr hab.
PeopleDr habil., assiociate professor, Polish linguist, lexicographer, bibliographer; Finnish, Russian, Slavonic languages; confrontative linguistics, lexicology, lexicography, history of Polish lexicography, translation studies, intercultural communication, reception of Polish literature abroad, translations Editor-in-Chief of the Journal "Studia Rossica Gedanensia" (annual)
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Michał Grochowski dr hab. inż.
PeopleProfessor and a Head of the Department of Intelligent Control and Decision Support Systems at Gdansk University of Technology (GUT). He is also a Member of the Board of the Digital Technologies Center of GUT. He received his M.Sc. degree in Control Engineering in 2000 from the Electrical and Control Engineering Faculty at the GUT. In 2004 he received a Ph.D. degree in Automatic Control and Robotics from this...
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Methods of Artificial Intelligence for Prediction and Prevention Crisis Situations in Banking Systems
PublicationIn this paper, a support vector machine has been studied due to prediction of bank crisis. To prevent outcomes of crisis situations, artificial neural networks have been characterized as applied to stock market investments, as well as to test the credibility of the bank's customers. Finally, some numerical experiments have been presented.
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Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification
PublicationDermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...
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An application supporting the educational process of the respiratory system obstructive diseases detection
PublicationThe paper presents a description of functioning of a platform supporting the detection of obstructive diseases in the respiratory system education process. A 16-parameter model of the respiratory system simulated in the MATLAB/Simulink environment was set in the role of the tested patient. It has been linked to the control layer, developed in the LabVIEW environment, using the SIT library (Simulation Interface Toolkit). This layer...
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Effects of social media communication on brand equity and brand purchase intention
PublicationThe author studied the effect of two different social media communication on brand equity and brand purchase intention. A total of 504 data sets were generated through a standardized online-survey and analysed with structural equation modeling. The results of the empirical study showed that both firm-created and user-generated social media communication influenced brand equity, consequently impacting brand purchase intention. This...
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Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video
PublicationThe article presents a novel approach to medical video data analysis and recognition of bleedings. Emphasis has been put on adapting pre-existing algorithms dedicated to the detection of bleedings for real-time usage in a medical doctor’s office during an endoscopic examination. A real-time system for analyzing endoscopic videos has been designed according to the most significant requirements of medical doctors. The main goal of...
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Analysis and Detection of Faults at Insulated Conductors of Overhead Medium Voltage Lines
PublicationThe paper dealt with the issue of breakdowns detection of isolated hanging wires on the medium-voltage transmission. The main aim of article is to describe the function of created breakdowns detector and evaluation its. The breakdowns detector is created based in indicators of faults such as touch between tree limbs and insulated wire, touch tree limbs with several phases or fall insulated wire on the ground. Breakdowns detector...
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Attitude and self-esteem versus entrepreneurial intention among young in Poland
PublicationThe main aim of the paper is to present the relation between intentions to become an entrepreneurs among young polish people and the two factors with possible influence on it: self-efficacy and attitude towards entrepreneurship. Two groups of young people were examined: students enrolling the Management Faculty at Gdańsk University of Technology, and pupil from high schools, attending "Entrepreneurship" classes. It appeared that...
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Visual Detection of People Movement Rules Violation in Crowded Indoor Scenes
PublicationThe paper presents a camera-independent framework for detecting violations of two typical people movement rules that are in force in many public transit terminals: moving in the wrong direction or across designated lanes. Low-level image processing is based on object detection with Gaussian Mixture Models and employs Kalman filters with conflict resolving extensions for the object tracking. In order to allow an effective event...
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Detection of moving objects in images combined from video and thermal cameras
PublicationAn algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...
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Building Sustainable Cities - Challenges for professional Education with Special Attention on Poland
PublicationW artykule omówiono problemy związane ze współczesnym kształceniem urbanistów w Polsce. Dokonano tego na tle zarysowanych problemów gospodarowania przestrzenią w kraju oraz z uwzględnieniem istniejących potrzeb w zakresie równoważenia jego rozwoju.
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Deep Features Class Activation Map for Thermal Face Detection and Tracking
PublicationRecently, capabilities of many computer vision tasks have significantly improved due to advances in Convolutional Neural Networks. In our research, we demonstrate that it can be also used for face detection from low resolution thermal images, acquired with a portable camera. The physical size of the camera used in our research allows for embedding it in a wearable device or indoor remote monitoring solution for elderly and disabled...