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Wyniki wyszukiwania dla: DAMAGE%20DETECTION
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A novel chemiluminescent immunoassay for detection of Toxoplasma gondii IgG in human sera
PublikacjaThis study describes Toxoplasma gondii IgG chemiluminescent immunoassay (CLIA) based on the use of a novel immunochemical reagents in the form of the conjugates of original acridinium ester (AE) labels attached to antibodies and SAG2-GRA1-ROP1L chimeric antigen and shows that this test is useful for diagnostic purposes.
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Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition
PublikacjaThe problem of accurate differentiating between the speaker utterance and the noise parts in a speech signal is considered. The influence of utilizing a voice activity detection in speech signals on the accuracy of the automatic speech recognition (ASR) system is presented. The examined methods of voice activity detection are based on acoustic and visual modalities. The problem of detecting the voice activity in clean and noisy...
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Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform
PublikacjaTraffic monitoring from closed-circuit television (CCTV) cameras on embedded systems is the subject of the performed experiments. Solving this problem encounters difficulties related to the hardware limitations, and possible camera placement in various positions which affects the system performance. To satisfy the hardware requirements, vehicle detection is performed using a lightweight Convolutional Neural Network (CNN), named...
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Distance magnetic nanoparticle detection using a magnetoelectric sensor for clinical interventions
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Commercial systems for automatic detection of events. Features, limitations and potential solutions
PublikacjaVideo Content Analysis (VCA). Motion detection. Example of complex VCA system. Commercial VCA systems and their applications. Limitations and problems. Possible solutions.
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Description of the silo flow and bulk solid pulsations detection using ECT
PublikacjaW artykule przedstawiono wyniki zastosowania tomografii pojemnościowej do analizy pulsacji występujących w bezkohezyjnym materiale sypkim podczas opróżniania silosu cylindrycznego. Przeanalizowano wpływ parametrów zmiennych (zagęszczenia początkowego, szorstkości ściany, prędkości opróżniania) na wielkość dynamicznych pulsacji)
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Modular machine learning system for training object detection algorithms on a supercomputer
PublikacjaW pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...
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Broadband LFM signal source for a module-based diver detection sonar
PublikacjaPraca przedstawia koncepcję źródła impulsów sondujących sonaru DDS, dla pogrupowanych po stronie nadawczej elementarnych sekcji przetwornika w moduły 8 lub 16 elementowe. Na podstawie oszacowania teoretycznego i pomiarów czwórnikowych określono potrzebną moc wyjściową i topologię tych nadajników. Przedstawione są też uzyskane na drodze pomiarów charakterystyki częstotliwościowe modułów przetwornika, razem z zastosowanym układem...
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Layered background modeling for automatic detection of unattended objects in camera images
PublikacjaAn algorithm for automatic detection of unattended objects in video camera images is presented. First, background subtraction is performed, using an approach based on the codebook method. Results of the detection are then processed by assigning the background pixels to time slots, based on the codeword age. Using this data, moving objects detected during a chosen period may be extracted from the background model. The proposed approach...
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Objects classification based on their physical sizes for detection of events in camera images
PublikacjaIn the paper, a method of estimation of the physical sizes of the objects tracked in the video surveillance system, and a simple module for object classification based on the estimated physical sizes, are presented. The results of object classification are then used for automatic detection of various types of events in the camera image.
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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 vehicles stopping in restricted zones in video from surveillance cameras
PublikacjaAn 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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Detection and classification of gaseous compounds by solid electrolyte cyclic voltammetry sensors
PublikacjaW pracy omówiono właściwości i ostatnie wyniki badań dotyczące czujników elektrokatalitycznych.
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Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System
PublikacjaMonitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...
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Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification
PublikacjaDermatophytes 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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Method of selecting the LS-SVM algorithm parameters in gas detection process
PublikacjaIn this paper we showed the method of resistive gas sensors data processing. The UV irradiation and temperature modulation was applied to improve gas sensors’ selectivity and sensitivity. Noise voltage across the sensor’s terminals (proportional to its resistance fluctuations) was recorded to estimate power spectral density. This function was an input data vector for LS-SVM (least squares – support vector machine) algorithm, which...
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Optical fiber aptasensor for label-free bacteria detection in small volumes
PublikacjaHighly sensitive devices for fast bacteria detection are sought to be developed with the task of quantifying the worldwide problem of pathogenic bacteria and thus helping to take control over spreading bacterial infections. This work concerns a sensing solution based on microcavity in-line Mach-Zehnder interferometer (μIMZI) induced in an optical fiber. Such a device exhibits ultrahigh sensitivity to refractive index changes...
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Hierarchical 2-step neural-based LEGO bricks detection and labeling
PublikacjaLEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...
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Microextraction by packed sorbent: Uncommon detection techniques, sorbents, samples and analytes
PublikacjaAmong sample preparation approaches, the most desirable are procedures that ensure high efficiency and reproducibility, that are cheap, fast and simple, that minimize the number of operational steps and that require a small amount of sample and solvent and are thus environmentally friendly. Microextraction by packed sorbent (MEPS) is a miniaturized form of solid-phase extraction, the use of which has been continuously expanding...
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Detection of anomalies in bee colony using transitioning state and contrastive autoencoders
PublikacjaHoneybees plays vital role for the environmental sustainability and overall agricultural economy. Assisting bee colonies within their proper functioning brings the attention of researchers around the world. Electronics systems and machine learning algorithms are being developed for classifying specific undesirable bee behaviors in order to alert about upcoming substantial losses. However, classifiers could be impaired when used...
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Optimized Deep Learning Model for Flood Detection Using Satellite Images
PublikacjaThe increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...
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Detection of Closing Crack in Beam Based on Responses Induced by Harmonic Excitation
PublikacjaThe non-linear contact model was chosen to simulate the closed crack in the cantilever beam. The study examines the shape and characteristics of the phase diagram of a cantilever beam with closed cracks. It investigates how various crack properties influence the geometry of the phase diagram and proposes a method for identifying cracks based on their features. The area of each closed curve in the phase diagram is determined using...
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Visual Detection of People Movement Rules Violation in Crowded Indoor Scenes
PublikacjaThe 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
PublikacjaAn 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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Detection of stress corrosion cracking dynamics by dynamic electrochemical impedance spectroscopy.
PublikacjaKlasyczne badania korozji naprężeniowej nie dają precyzyjnych informacji o dynamice takiego procesu korozyjnego. Nowa technika dynamicznej elektrochemicznej spektroskopii impedanyjnej, która została opracowana w Katedrze Elektrochemii, Korozji i Inżynierii Materiałowej stwarza takie możliwości. Fakt ten związany z zastosowaną metodologią analizy umożliwiającą selektywną analizą czasowo-częstotliwościową danych pomiarowych.Praca...
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Ultrahigh-resolution detection techniques for biomedical applications of optical coherent tomography.
PublikacjaOptyczne metody pomiarowe odgrywają w ostatnich latach coraz większą rolę w badaniach i diagnostyce medycznej. Mają one szereg zalet, do których zaliczyć można odporność na promieniowanie elektromagnetyczne, bezinwazyjność, bezpieczeństwo pomiaru oraz wysoką rozdzielczość. Jedną z najważniejszych technik stosowanych w diagnostyce medycznej jest koherentna tomografia optyczna (OCT). Jest to wysokorozdzielcza metoda obrazowania wewnętrznych...
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A time-frequency method for detection of electromagnetic field interference on metal constructions.
PublikacjaPrzedstawiono metodę detekcji oddziaływania pola elektromagnetycznego na metalowe konstrukcje podziemne. Polega ona na czasowo-częstotliwościowej analizie rejestrów zmian potencjału źródła pola (np. prądów błądzących) oraz potencjału konstrukcji podziemnej, z wykorzystaniem krótkoczasowej transformaty Fouriera STFT. Wnioski o oddziaływaniu pola na konstrukcję metalową wyciąga się na podstawie analizy uzyskanych widm.
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Detection of corrosion process in marine environment by means of acoustic emission technique
PublikacjaW pracy przedstawiono możliwość detekcji procesu korozyjnego nieniszczącą metodą emisji akustycznej konstrukcji metalowych pracujących w środowisku wody morskiej. Pewną alternatywą wobec technik elektrochemicznych w monitorowaniu korozji zaproponowano nieniszczącą technikę emisji akustycznej. Emisja akustyczna znana jako zjawisko fizyczne i technika pomiarowa znalazły zastosowanie w detekcji korozji obiektów morskich. W związku...
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Detection and localisation of corrosion process effect by means of acoustic emission technique
PublikacjaW pracy przedstawiono możliwość wykorzystania techniki emisji akustycznej do detekcji i lokalizacji skutków procesu korozyjnego - wycieku. Wyniki badań wykonanych w warunkach laboratoryjnych, zbliżonych do rzeczywistych, potwierdziły akustyczne wykrycie oraz ustalenie położenia wycieku. Położenie wycieku obliczono również na podstawie techniki interkorelacji i porównano z lokalizacją uzyskaną bezpośrednio z pomiarów akustycznych....
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Detection of stray current field interference on metal constructions using STFT
PublikacjaZaprezentowano metodę detekcji pola prądów błądzących wykorzystującą krótkoczasową transformatę Fouriera STFT. Ten sposób analizy umożliwia wyznaczenie zmian spektralnej gęstości mocy sygnału (np. potencjału konstrukcji) w funkcji czasu. Przedstawiono rezultaty analizy zmian potencjału w polu prądów błądzących generowanych przez trakcję tramwajową. Spektrogramy są kompozycją prążków w łącznej dziedzinie czasu i częstotliwości....
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Diagnostics of thermal processes in antenna systems of broadcast stations
PublikacjaDiagnostics is an important element associated with the operation of a radio antenna systems, allowing earlier detection of potential damage. Thermography is one of the diagnostic tools, which allows for non-invasive assessment of technical condition. It brings together both financial savings associated with the removal of the damage and the potential effects caused by it. The article presents an example of using a thermal imaging...
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Experimental study on ultrasonic monitoring of splitting failure in reinforced concrete
PublikacjaThis paper investigates inspection of reinforced concrete elements sensitive to the splitting failure. The behaviour of a reinforced concrete specimen subjected to a tensile stress is considered. The damage detection procedure is based on the ultrasonic wave propagation technique. The piezoelectric transducers are located on both ends of the specimen and the measurements are taken periodically during the incrementally increased...
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GPR simulations for diagnostics of a reinforced concrete beam
PublikacjaThe most popular technique for modelling of an electromagnetic field, the finite difference time domain (FDTD) method, has recently become a popular technique as an interpretation tool for ground penetrating radar (GPR) measurements. The aim of this study is to detect the size and the position of damage in a reinforced concrete beam using GPR maps. Numerical simulations were carried out using the finite differ-ence time domain...
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Helicobacter pylori infection is associated with oxidatively damaged DNA in human leukocytes and decreased level of urinary 8-oxo-7,8-dihydroguanine
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Small field radiotherapy of head and neck cancer patients is responsible for oxidatively damaged DNA/oxidative stress on the level of a whole organism
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Framework for the use of odour wheels to manage odours throughout wastewater biosolids processing
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Prognostic Significance of TOP2A Gene Dosage in HER-2-Negative Breast Cancer
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LC-MS and LC-NMR as Complementary Techniques for the Determination of Pharmaceuticals in Dosage Formulations
PublikacjaPharmaceuticals contain not only pharmacologically active compounds but also a range of excipients. The danger exists that impurities may also be present in such drugs, which may adversely affect their efficacy and even endanger patient health and life. Monitoring the composition of pharmaceutical products is therefore essential. The trace amounts of such impurities in pharmaceuticals are often identified and determined with liquid...
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New Services for iTVP Content Providers to Manage Live and On-Demand Content Streaming
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Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems?
PublikacjaAdvancements around the modern digital industry gave birth to a number of closely interrelated concepts: in the age of the Internet of Things (IoT), System of Systems (SoS), Cyber-Physical Systems (CPS), Digital Twins and the fourth industrial revolution, everything revolves around the issue of designing well-understood, sound and secure complex systems while providing maximum flexibility, autonomy and dynamics. The aim of the...
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Experimental and theoretical study on high-temperature creep of VT6 titanium alloy under multi-axial loading conditions
PublikacjaIn the framework of damage mechanics, we discuss a new mathematical model that describes the kinetics of the stress–strain state and damage accumulation during material degradation by the mechanism of long-term strength under complex multiaxial stress state. An experimental and theoretical technique is proposed for determination of material parameters and scalar constitutive functions for damaged media based on specially set experiments...
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CMGNet: Context-aware middle-layer guidance network for salient object detection
PublikacjaSalient object detection (SOD) is a critical task in computer vision that involves accurately identifying and segmenting visually significant objects in an image. To address the challenges of gridding issues and feature...
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Application of cross-priming amplification (CPA) for detection of fowl adenovirus (FAdV) strains
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On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Real-Time AI-Driven Fall Detection Method for Occupational Health and Safety
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Detection of low- and high-frequency rhythms in the variability of skin sympathetic nerve activity
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Use of X-Ray Computed Tomography for Ice Detection Applied to Organ Cryopreservation
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Towards bees detection on images: study of different color models for neural networks
PublikacjaThis paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...
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Low energy γ-rays scintillation detection with large area avalanche photodiodes
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