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Wyniki wyszukiwania dla: EDGE DETECTION, EDGE DETECTION OPERATORS, IMAGE PROCESSING, HIGH VOLTAGE LINES DETECTION
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Guided ultrasonic waves for detection of debonding in bars partially embedded in grout
PublikacjaThis paper deals with theoretical, numerical and experimental investigations of guided wave propagation in multilayered cylindrical bars with pre-existing debonding. The research focuses on a complex description of the nature of the wave phenomena occurring in a debonded specimen with a special emphasis on the influence of the location of damage on the wave conversion and diffraction. Experimental non-destructive and destructive...
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublikacjaThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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Detection of low- and high-frequency rhythms in the variability of skin sympathetic nerve activity
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Detection, classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations
PublikacjaEvaluation of sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for discerning between the events being in focus and the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the...
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Eye Blink Based Detection of Liveness in Biometric Authentication Systems Using Conditional Random Fields
PublikacjaThe goal of this paper was to verify whether the conditional random fields are suitable and enough efficient for eye blink detection in user authentication systems based on face recognition with a standard web camera. To evaluate this approach several experiments were carried on using a specially developed test application and video database.
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Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
PublikacjaBiometric technology, including finger vein, fingerprint, iris, and face recognition, is widely used to enhance security in various devices. In the past decade, significant progress has been made in improving biometric sys- tems, thanks to advancements in deep convolutional neural networks (DCNN) and computer vision (CV), along with large-scale training datasets. However, these systems have become targets of various attacks, with...
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Visually validated semi-automatic high-frequency oscillation detection aides the delineation of epileptogenic regions during intra-operative electrocorticography
PublikacjaOBJECTIVE: To test the utility of a novel semi-automated method for detecting, validating, and quantifying high-frequency oscillations (HFOs): ripples (80-200 Hz) and fast ripples (200-600 Hz) in intra-operative electrocorticography (ECoG) recordings. METHODS: Sixteen adult patients with temporal lobe epilepsy (TLE) had intra-operative ECoG recordings at the time of resection. The computer-annotated ECoG recordings were visually...
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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City
PublikacjaData from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...
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Damage Detection in the Wind Turbine Blade Using Root Mean Square and Experimental Modal Parameters
PublikacjaThe paper presents results of an experimental study related to a non-destructive diagnostic technique used for preliminary determination the location and size of delamination in composite coatings of wind turbine blades. The proposed method of damage detection is based on the analysis of the ten first mode shapes of bending vibrations, which correspond to displacements of rotor blades perpendicular to the rotor plane. Modal parameters...
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Magnetic field gradient as the most useful signal for detection of flaws using MFL technique
PublikacjaThe magnetic flux leakage (MFL) technique is extensively used for detection of flaws as well as for evaluation of their dimensions in ferromagnetic materials. However, proper analysis of the MFL signal is hindered by the MFL sensor velocity causing distortions of this signal. Traditionally measured components of the MFL signal are particularly sensitive to the scanning velocity. In this paper, an another signal – the gradient of...
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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublikacjaRecent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...
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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublikacjaRecent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...
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Evaluation of sound event detection, classification and localization in the presence of background noise for acoustic surveillance of hazardous situations
PublikacjaAn evaluation of the sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for separating foreground events from the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the classifier...
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A rapid-response ultrasensitive biosensor for influenza virus detection using antibody modified boron-doped diamond
PublikacjaAccording to the World Health Organization (WHO), almost 2 billion people each year are infected worldwide with flu-like pathogens including influenza. This is a contagious disease caused by viruses belonging to the family Orthomyxoviridae. Employee absenteeism caused by flu infection costs hundreds of millions of dollars every year. To successfully treat influenza virus infections, detection of the virus during the initial development...
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Melanoma skin cancer detection using mask-RCNN with modified GRU model
PublikacjaIntroduction: Melanoma Skin Cancer (MSC) is a type of cancer in the human body; therefore, early disease diagnosis is essential for reducing the mortality rate. However, dermoscopic image analysis poses challenges due to factors such as color illumination, light reflections, and the varying sizes and shapes of lesions. To overcome these challenges, an automated framework is proposed in this manuscript. Methods: Initially, dermoscopic...
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Speed Sensorless AC Drive with Inverter LC Filter and Fault Detection Using Load Torque Signal
PublikacjaThe industrial development in recent years has seen a major increase in the use of induction motors, whereby the cost has to be as low as possible and the lifetime as long as possible. To follow up this desire, investigations in this area have become very intense. For that reason, this paper presents a solution for driving an induction motor and simultaneous fault detection with no need for additional sensors. In order to achieve...
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Aleksandra Karpus dr inż.
OsobyAleksandra Karpus jest absolwentką Matematyki Stosowanej na Wydziale Fizyki Technicznej i Matematyki Stosowanej oraz Informatyki na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej. W latach 2011-2014 pracowała z danymi w przemyśle, wykorzystując bazy danych Oracle. Od 2014 roku jest zawodowo związana z Politechniką Gdańską, obecnie jest zatrudniona na stanowisku adiunkta naukowo-dydaktycznego w Katedrze...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublikacjaLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Detection and localization of selected acoustic events in acoustic field for smart surveillance applications
PublikacjaA method for automatic determination of position of chosen sound events such as speech signals and impulse sounds in 3-dimensional space is presented. The evens are localized in the presence of sound reflections employing acoustic vector sensors. Human voice and impulsive sounds are detected using adaptive detectors based on modified peak-valley difference (PVD) parameter and sound pressure level. Localization based on signals...
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Edge-chromatic sum of trees and bounded cyclicity graphs
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Open-Phase Fault Detection Method for Sensorless Five-Phase Induction Motor Drives with an Inverter Output Filter
PublikacjaThe paper presents the sensorless five-phase induction motor drive implementation with an inverter output filter with third harmonic injection. For the sensorless operation, the required observers are presented for the first and third harmonics with consideration of the inverter output filter. Moreover, the interaction of the observers and the control system is capable to handle a deactivation of one or two phases, which improves...
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Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation
PublikacjaTo date, significant progress has been made in the field of railway anomaly detection using technologies such as real-time data analytics, the Internet of Things, and machine learning. As technology continues to evolve, the ability to detect and respond to anomalies in railway systems is once again in the spotlight. However, railway anomaly detection faces challenges related to the vast infrastructure, dynamic conditions, aging...
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Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
PublikacjaTo this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...
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A new time-frequency detection method of stray current field interferenceon metal structures.
PublikacjaA new detection method has been presented of stray current field interference on underground metal structures. The method employs short time Fourier transformation (STFT). This method of analysis allows determination of signal spectral power density changes (e.g., structure potential) in the function of time. In the paper results have been presented of total time–frequency analysis of a pipeline potential in a stray current field...
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Compact cyclic edge-colorings of graphs
PublikacjaArtykuł jest poświęcony modelowi zwartego cyklicznego kolorowania krawędzi grafów. Ten wariant kolorowania jest stosowany w modelowaniu uszeregowań w systemach produkcyjnych, w których proces produkcyjny ma charakter cykliczny. W pracy podano konstrukcje grafów, które nie zezwalają na istnienie pokolorowania w rozważanym modelu. Wykazano także kilka własności teoretycznych, takich jak ograniczenia górne na liczbę kolorów w optymalnym...
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Edge ranking and searching in partial orders
PublikacjaArtykuł jest poświęcony problemowi konstrukcji optymalnej (wymagającej minimalnej ilości porównań/zapytań) strategii wyszukiwania elementu w częściowym porządku. W pracy wskazano związki pomiędzy tym problemem oraz uporządkowanym kolorowaniem krawędzi grafów, co implikuje liniowy algorytm dla częściowych porządków o strukturze drzewa. Pokazano również, że znalezienie optymalnej strategii jest problemem obliczeniowo trudnym dla...
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Entrepreneurship nests in a polish edge city
PublikacjaThe last two decades in Poland have been a period of both a dynamic development of the small and medium-sized enterprise sector and a transformation of the city surrounding territories. This development began during the economy transformation after 1989. Population migration and movement of economic entities away from central cities resulted in development of territorial structures within some Polish suburban areas, defined as...
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Bioactive hybrid metal-organic framework (MOF)-based nanosensors for optical detection of recombinant SARS-CoV-2 spike antigen
PublikacjaFast, efficient, and accurate detection of SARS-CoV-2 spike antigen is pivotal to control the spread and reduce themortality of COVID-19. Nevertheless, the sensitivity of available nanobiosensors to detect recombinant SARS-CoV-2 spike antigen seems insufficient. As a proof-of-concept, MOF-5/CoNi2S4 is developed as a low-cost, safe, and bioactive hybrid nanostructure via the one-pot high-gravity protocol. Then, the porphyrin, H2TMP,...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublikacjaIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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Diagnostics of high-voltage varistor quality using resonant ultrasound spectroscopy
PublikacjaResonant spectroscopy is an effective nondestructive testing method focused on defects detection in tested objects. Resonance spectrum contains an information about the mechanical properties and particularly about the structural homogeneity of the whole object. A swept frequency method has been used to measure the selected resonant frequencies range. The system for measurement of resonant ultrasound spectroscopy of high-voltage...
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Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation
PublikacjaThis work is part of an effort for the development of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. This paper focuses on hazards resulted from the non-use of personal protective equipment (PPE), and examines a few supervised learning techniques to compose the proposed system for the purpose of recognition of three protective...
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MultiRegional PCA for leakage detection and localisation in DWDS - Chojnice case study
PublikacjaThis chapter considers pipe leakage detection and localisation in Drinking Water Distribution Systems (DWDS) by using a novel approach the MultiRegional Principal Component Analysis (MR-PCA). The MR-PCA is an extension of well known PCA method. The main idea of MR-PCA consists in designing a number of regional PCA models and analysing their responses caused by the pipe faults. Moreover, DWDS is decomposed into suitable subnetworks...
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Detection of Delamination in Laminate Wind Turbine Blades Using One-Dimensional Wavelet Analysis of Modal Responses
PublikacjaThis paper demonstrates the effectiveness of a nondestructive diagnostic technique used to determine the location and size of delamination in laminated coatings of wind turbine blades. This is realized based on results of numerical and experimental investigations obtained by the use of the finite element method (FEM) and laser scanning vibrometry (LSV). The proposed method is based on the one-dimensional continuous wavelet transform...
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Outlier Detection with the Use of Isolation Forests
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Transformer-Capsule Model for Intent Detection
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Ontology oriented threat detection system
PublikacjaW niniejszym artykule przedstawiony jest projekt opartego o ntologię systemu wykrywania zagrożeń w różnego typu monitorowanych środowiskach (OOTDS). Zakłada się, że umieszczone w środowisku czujniki na bieżąco dostarczają systemowi zdarzeń odzwierciedlających zmiany zachodzące w środowisku. Korzystając z sieci asynchronicznych bloków rosnącej złożoności OOTDS dokonuje analizy otrzymanych zdarzeń. Bloki wstępnego przetwarzania konwertują...
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On-Board Detection, Classification and Evaluation of Nonlinearities
PublikacjaArtykuł prezentuje tester wbudowany BIT przeznaczony do wydobywania informacji diagnostycznej z sygnału generowanego przy zastosowaniu oscylacyjnej metody testowania. Układ bazujący na technice modulacji Sigma-Delta i sztucznych sieciach neuronowych może wykrywać nieliniowość w sygnale testującym, określać rodzaj nieliniowości i szacować zawartość harmonicznych.
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Detection methods of dynamic spammer's behavior
PublikacjaPoczta elektroniczna ze względu na swoją naturę jest bardzo podatna na zjawisko spamu. Oddzielanie spamu od dobrych wiadomości jest zadaniem żmudnym i pracochłonnym. Dlatego jest rzeczą istotną opracowanie skutecznej metody walki ze spamem uwzględniającej nie tylko aktualne metody działania spamerów, ale również wzięcie pod uwagę dynamicznych aspektów zmieniających się stale ich zachowań.Artykuł opisuje metodę klasyfikacji wiadomości...
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VIBRATION PARAMETERS FOR DAMAGE DETECTION IN STRUCTURES
PublikacjaThe aim of this paper is to examine how damage indicators are sensitive to changing number of frequencies and mode shapes and also to number and location of measurement points. The influence of measurement errors was also analyzed for all cases. For the analysis, those damage indicators are chosen which use changes in such modal parameters as natural frequencies and mode shapes and also differences between the curvatures of the damaged...
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Workflow application for detection of unwanted events
PublikacjaZaprezentowano rozproszoną aplikację do wykrywania potencjalnie niebezpiecznych zdarzeń z wejściowych strumieni wideo. Rozpoznanie niepożądanych zdarzeń wywołuje alarmy i wysyła powiadomienia do odpowiednich służb, jak również powoduje zarejestrowanie filmu. Model aplikacji składa się z węzłów z kamerami, pobierajacych strumienie danych, przetwarzajacych dane, wysyłajacych powiadomienia i zapisujacych dane. Zaimplementowana aplikacja...
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Detection and localization of leaks in transmission pipelines
PublikacjaZadanie monitorowania przepływu mediów ciekłych lub gazowych przez rurociągiprzemysłowe realizuje się za pomocą algorytmów obserwacji, skonstruowanychodpowiednio do nieliniowego modelu procesu transportowego, z zastosowaniempomiarów ciśnienia i natężenia przepływu medium na krańcach nadzorowanegoodcinka rurociągu. Uwagę skupiono na dwu metodach analtycznej redundancji ifiltracyjnej generacji sygnału resztowego, będącego...
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Directional sonobuoy system for detection of submarines.
PublikacjaW artykule omówiono ogólnie hydroakustyczne metody wykrywania i lokalizacji okrętów podwodnych. Szczególną uwagę poświęcono systemowi lotniczemu wykorzystującemu sonoboje kierunkowe. Omówiono zasadę pracy takiego systemu, przedstawiono metodę detekcji i estymacji kierunku przyjścia fali akustycznej emitowanej przez okręt oraz stosowane w praktyce metody zobrazowania. Powodem podjęcia tej tematyki jest zakończenie budowy prototypu...
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The method of detection of electromagnetic fields in ground
PublikacjaW prezentowanej metodzie, detekcja pola polega na pomiarach i analizie zmian rozkładu potencjału. Różnice potencjałów są mierzone jako napięcie pomiędzy elektrodami umieszczonymi w różnych pozycjach na powierzchni ziemi. Analiza tych napięć przy pomocy krótkoczasowej transformaty Fouriera STFT umożliwia wyznaczenie zmian spektralnej gęstości mocy sygnału w funkcji czasu. Ten rodzaj łącznej analizy czasowo-częstotliwościowej daje...
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Optimal Sensor Placement for Damage Detection
PublikacjaW pracy przedstawiono dwie konfiguracje czujników PZT do detekcji uszkodzeń w płytach. Omówion zalety i wady obu konfiguracji.
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Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines
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A New Direct-Sequence Spread Spectrum Signal Detection Method for Underwater Acoustic Communications in Shallow-Water Channel
PublikacjaDirect-Sequence Spread Spectrum (DSSS) is one of the modulation and coding techniques used in Underwater Acoustic Communication (UAC) systems for reliable data transmision even at low signal levels. However, in a shallow water channel, there is a strong multipath propagation which causes a phase fluctuation of the received signal, affecting the performance of the spread-spectrum system. The article presents a differential method...
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Ion Chromatography with Pulsed Amperometric Detection for Determining Cyanide in Urine and Meconium Samples
PublikacjaThe parents’ addictions and eating habits have a significant influence on the child’s growth. The first stool of a newborn baby provides a large amount of information about xenobiotics transmitted by the mother’s body. The analytical technique used in the study is ion chromatography with pulsed amperometric detection (IC-PAD). The biological samples, which were obtained from women staying in a maternity ward and their partners,...
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Rapid Assays for Specific Detection of Fungi of Scopulariopsis and Microascus Genera and Scopulariopsis brevicaulis Species
PublikacjaPurpose Fungi of Scopulariopsis and Microascus genera cause a wide range of infections, with S. brevicaulis being the most prevalent aetiological agent of mould onychomycosis. Proper identification of these pathogens requires sporulating culture, which considerably delays the diagnosis. So far, sequencing of rDNA regions of clinical isolates has produced ambiguous results due to the lack of reference sequences in publicly available...
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Biomolecular influenza virus detection based on the electrochemical impedance spectroscopy using the nanocrystalline boron-doped diamond electrodes with covalently bound antibodies
PublikacjaNew rapid pathogen detection methods with improved cost-effectiveness and efficiency are currently in the focus of the scientists from all over the world. Based on the experiences from the rapid spread of the influenza virus pandemic in 2009 it is clear that the development of the system for early diagnosis of this infection is essential. The crucial stage of the treatment is the detection of the viral infection during its initial...
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Determination of cyanide in urine and saliva samples by ion chromatography with pulsed amperometric detection
PublikacjaCommonly known as a highly toxic chemical, cyanide is also an essential reagent for many industrial processes. It naturally occurs in plant seeds as a cyanogenic glycosides. Another relatively common mode of cyanide exposure is inhalation of environmental tobacco smoke. This study concerns importance to determine cyanide ion in human biological samples. Urine and saliva samples were collected healthy volunteers exposed to tobacco...