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Wyniki wyszukiwania dla: vowels detection

Wyniki wyszukiwania dla: vowels detection

  • Detection and localisation of corrosion process effect by means of acoustic emission technique

    Publikacja

    - Rok 2005

    W 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....

  • Detection of stray current field interference on metal constructions using STFT

    Publikacja

    Zaprezentowano 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....

  • Damage detection in rectangular plates by continuous two-dimensional wavelet transform

    Publikacja

    - Rok 2005

    Praca opisuje zastosowanie dwuwymiarowej transformaty falkowej do detekcji i lokalizacji uszkodzeń w konstrukcji płytowej. Defekt zlokalizowano na podstawie postaci drgań z symulacji numerycznych oraz z badań eksperymentalnych.

  • An application supporting the educational process of the respiratory system obstructive diseases detection

    The 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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  • Optimized Deep Learning Model for Flood Detection Using Satellite Images

    Publikacja
    • A. Stateczny
    • H. D. Praveena
    • R. H. Krishnappa
    • K. R. Chythanya
    • B. B. Babysarojam

    - Remote Sensing - Rok 2023

    The 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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  • Microextraction by packed sorbent: Uncommon detection techniques, sorbents, samples and analytes

    Publikacja

    - TRAC-TRENDS IN ANALYTICAL CHEMISTRY - Rok 2024

    Among 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 Closing Crack in Beam Based on Responses Induced by Harmonic Excitation

    Publikacja

    The 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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  • LCT, PIV and IR Imaging Detection in Selected Technical and Biomedical Applications

    Paper presents the brief summary of the history of Thermochromic liquid crystals (TLC), Particle Image Velocimetry (PIV) and Infrared Imaging Themography (IR). Principal methods and tools are described and some examples are presented. With this objective, a new experimental technique have been developed and applied to the study of heat and mass transfer and for biomedical diagnosis. Selected results of experiments using these methods...

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  • RMS-based damage detection in reinforced concrete beams: numerical simulations

    Publikacja

    Image-based damage detection methods using guided waves are well known and widely applied approaches in structural diagnostics. They are usually utilized in detection of surface damages or defects of plate-like structures. The article presents results of the study of applicability of imaging wave-based methods in detection in miniscule internal damage in the form of debonding. The investigations were carried out on numerical models...

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  • Detection, identification and determination of chiral pharmaceutical residues in wastewater: Problems and challenges

    Chiral pharmaceuticals (CPs) are widely used in different areas of human life, thus they are frequentlydetected in different ecosystems. However, before CPs reach the environment, wastewater is subjected todifferent treatment processes in order to remove them. Nevertheless, such processes may affect thechirality of CPs, thus it is very important to monitor CP levels during the wastewater treatment.This review addresses the present...

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  • Pulsed UV-irradiated Graphene Sensors for Ethanol Detection at Room Temperature

    Publikacja

    - Rok 2021

    A graphene-based gas sensor fabricated in a FET (GFET) configuration and its sensitivity towards ethanol and methane is reported. Detection of ethanol at the level of 100 ppm was observed under pulsed UV irradiation and after cleaning by UV light in the N2 ambient. Reduction of the frequency of UV irradiation pulses resulted in increased changes in sensor resistance in the presence of ethanol. Improved sensing behavior was ascribed...

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  • DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION

    Publikacja
    • M. Maj
    • J. Borkowski
    • J. Wasilewski
    • S. Hrynowiecka
    • A. Kastrau
    • M. Liksza
    • P. Jasik
    • M. Treder

    - Rok 2022

    Objective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...

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  • Hierarchical 2-step neural-based LEGO bricks detection and labeling

    Publikacja

    - Rok 2021

    LEGO 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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  • Optical fiber aptasensor for label-free bacteria detection in small volumes

    Publikacja

    - SENSORS AND ACTUATORS B-CHEMICAL - Rok 2021

    Highly 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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  • Detection of anomalies in bee colony using transitioning state and contrastive autoencoders

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

    Publikacja

    - Electronics - Rok 2021

    Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved it would streamline the radiologists work. To deal with this complex three-dimensional...

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  • Face with Mask Detection in Thermal Images Using Deep Neural Networks

    Publikacja

    As the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...

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  • Detection of moving objects in images combined from video and thermal cameras

    Publikacja

    - Rok 2013

    An 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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  • Numerical modeling of GPR field in damage detection of a reinforced concrete footbridge

    Publikacja

    The paper presents a study on the use of the ground penetrating radar (GPR) method in diagnostics of a footbridge. It contains experimental investigations and numerical analyses of the electromagnetic field propagation using the finite difference time domain method (FDTD). The object of research was a reinforced concrete footbridge over a railway line. The calculations of the GPR field propagation were performed on a selected cross-section...

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  • Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition

    Publikacja

    The 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...

  • Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification

    Publikacja

    - Acta Biochimica Polonica - Rok 2015

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

    Publikacja

    - Rok 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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  • Method of selecting the LS-SVM algorithm parameters in gas detection process

    In 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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  • A novel chemiluminescent immunoassay for detection of Toxoplasma gondii IgG in human sera

    Publikacja

    - DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE - Rok 2016

    This 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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  • Detection and size estimation of crack in plate based on guided wave propagation

    The paper presents results of the comprehensive theoretical and experimental investigation of crack detection in metallic plate using guided wave propagation. The main aim of the paper is to develop the novel method which would allow for linear crack size estimation with the use of minimal number of the transducers. In general, there exists the relation between length of the propagation path and the wave amplitude value. However,...

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  • Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform

    Traffic 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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  • Deep Features Class Activation Map for Thermal Face Detection and Tracking

    Publikacja

    - Rok 2017

    Recently, 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...

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  • Detection of apple in orange juice using ultra-fast gas chromatography

    Publikacja

    The determination of authenticity is an increasingly important issue for food quality and safety. The use of an electronic nose based on ultra-fast gas chromatography technique ensures rapid analysis of the volatile compounds from food products. Due to the fact that this technique enables chemical profiling of agricultural products, it can be an effective tool for authentication when combined with chemometrics. In this article...

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  • Sonar Pulse Detection Using Chirp Rate Estimation and CFAR Algorithms

    Publikacja

    This paper presents a new approach to sonar pulse detection. The method uses chirp rate estimators and algorithms for the adaptive threshold, commonly used in radiolocation. The proposed approach allows detection of pulses of unknown parameters, which may be used in passive hydrolocation or jamming detection in underwater communication. Such an analysis is possible thanks to a new kind of imaging, which presents signal energy in...

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  • Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...

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  • Guided ultrasonic waves for detection of debonding in bars partially embedded in grout

    This 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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  • Guided Wave Propagation in Detection of Partial Circumferential Debonding in Concrete Structures

    Publikacja

    - SENSORS - Rok 2019

    The following article presents results of investigating the damage detection in reinforced concrete beams with artificially introduced debonding between the rod and cover, using a non-destructive method based on elastic waves propagation. The primary aim of the research was to analyze the possible use of guided waves in partial circumferential debonding detection. Guided waves were excited and registered in reinforced concrete...

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  • A Multi-Antenna Scheme for Early Detection and Mitigation of Intermediate GNSS Spoofing

    Publikacja

    - SENSORS - Rok 2019

    This article presents a method for detecting and mitigating intermediate GNSS spoofing. In this type of attack, at its early stage, a spoofer transmits counterfeit signals which have slight time offsets compared to true signals arriving from satellites. The anti-spoofing method proposed in this article fuses antenna array processing techniques with a multipath detection algorithm. The latter is necessary to separate highly correlated...

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  • Debonding Detection in Reinforced Concrete Beams with the Use of Guided Wave Propagation

    Publikacja

    - Rok 2019

    One of the most frequent damage of the reinforced concrete structures is debonding between steel bar and concrete cover. In the case of debonding occurrence not only the strength of the structure decreases, but also it is more vulnerable to corrosion damages. For this reason fast and effective methods of debonding detection in an early stage of its development need a significant boost. The paper presents analytical and experimental...

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  • LCT, PIV and IR Imaging Detection in Selected Technical and Biomedical Applications

    Publikacja

    Thermochromic liquid crystals (TLC), Particle Image Velocimetry (PIV) and Infrared Imaging Themography (IR) have been successfully used in non-intrusive technical, industrial and biomedical studies and applications. These four tools (based on the desktop computers) have come together during the past two decades to produce a powerful advanced experimental technique as a judgment of quality of information that cannot be obtained...

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  • Selection of descriptive geometry textbooks

    W artykule przedstawiono koncepcję badania podręczników do geometrii wykreślnej bazującą na psycholingwistycznej teorii komunikatu. Zaprezentowane podejście umożliwia analizę podręczników na sześciu poziomach odnoszących się do głównych funkcji komunikacji międzyludzkiej. W artykule skupiono się na postrzeganiu językowej funkcji podręczników geometrii wykreślnej i w tym zakresie stwierdzono wiele cech zbieżnych.

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  • Clonal selection in discrete optimization

    Publikacja

    - Rok 2009

    W rozprawie zajmujemy się efektywnymi metodami przybliżonego rozwiązywania problemów optymalizacji dyskretnej, a w szczególności algorytmami opartymi na metodzie selekcji klonalnej (SK), należącymi do kategorii sztucznych systemów immunologicznych. Techniki optymalizacji to znaczące pole badań w informatyce, a niektóre ze starszych technik, takie jak algorytmy genetyczne, symulowane wyżarzanie czy przeszukiwanie tabu, stały się...

  • Selection of pointing device for elders

    W artykule przedstawiono metodykę i sposób akwizycji oraz analizy danych dla doboru optymalnego urządzenia wskazującego, dostosowanego do osób starszych. Przedstawiono wyniki próbnych testów na dwóch grupach - docelowej i referencyjnej oraz skomentowano wyniki.

  • IT Project Manager Selection Review

    Publikacja

    - Rok 2018

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  • A derivatisation agent selection guide

    Publikacja

    - GREEN CHEMISTRY - Rok 2017

    The development of new tools for providing high quality information in a cost-effective and expeditious way is one of the main aims of analytical chemistry. Remarkably, the introduc- tion of the 12 principles of green chemistry paved the way forward for the development of analytical methodologies that are, ideally, inherently safe for the operator and the environ- ment, with the least possible consumption of energy and chemicals,...

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  • Vowel recognition based on acoustic and visual features

    W artykule zaprezentowano metodę, która może ułatwić naukę mowy dla osób z wadami słuchu. Opracowany system rozpoznawania samogłosek wykorzystuje łączną analizę parametrów akustycznych i wizualnych sygnału mowy. Parametry akustyczne bazują na współczynnikach mel-cepstralnych. Do wyznaczenia parametrów wizualnych z kształtu i ruchu ust zastosowano Active Shape Models. Jako klasyfikator użyto sztuczną sieć neuronową. Działanie systemu...

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  • Experimental investigations of concrete dowels in composite floor system

    Publikacja

    - Rok 2008

    Opisano nowy system stropow zespolonych umozliwiajacych montaz instalacji klimatyzacyjnych, wentylacyjnych i grzewczych w przestrzeni pomiedzy dwoma plytami betonowymi konstrukcji stropu: gorna i dolna. Obie plyty polaczone sa wzajemnie srodnikami stalowymi z wycieciami u gory i na dole w ksztalcie 'puzzle', ktore we wspolpracy z plyta betonowa tworza tzw. dyble betonowe. Wykonano badania laboratoryjne typu 'Push-out' tych polaczen...

  • Drug Discovery Today: Disease Models

    Czasopisma

    ISSN: 1740-6757

  • APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

    Czasopisma

    ISSN: 1524-1904 , eISSN: 1526-4025

  • MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES

    Czasopisma

    ISSN: 0218-2025 , eISSN: 1793-6314

  • Bridging the gap between business process models and use-case models

    Publikacja

    - Rok 2014

    Today's software development methodologies are equipped with a plethora of methods and techniques for business process engineering and Requirements Engineering. However, heavy investments in IT have not brought forth expected results. What seems to be lacking is a systematic approach that consolidates both disciplines to gain a synergistic effect. To address this challenge we extend Use-Case Driven Approach (UCDA) by binding use...

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  • Odour Samples Degradation During Detention in Tedlar® Bags

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  • Models of Structures in Didactics

    Publikacja

    The final aim of teaching students subjects, such as structural mechanics, reinforced concrete, and steel structures is to teach them how structures work in a given building as well as to provide them with skills enabling them to calculate and design structures. The behavioral model of the structure, contrary to the architectural model, which focuses mainly on the external form of the building, shows workings from both the static...

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  • Factors influencing the selection of the ideal employer

    Dane Badawcze
    open access

    This dataset contains the results of research that were carried out by the Wrocław University of Science and Technology in March and April 2016, using an anonymous "on-line" questionnaire. 1,320 people took part in the study entitled "My ideal employer" - students and doctoral students of all faculties of the university (including those fields of study...

  • Potential direction of changes in tax incentives

    Dane Badawcze
    open access

    The study conducted on a group of 259 entrepreneurs concerned exploring the potential direction of changes in the scope of the tax incentive system in Poland. The results of the study include answers to questions about the mechanisms of  tax reliefs used so far, as well as the potentialn direction of changes in this respect.