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Wyniki wyszukiwania dla: ADAPTIVE SIGNAL DETECTION
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Adaptive Binarization of Metal Nameplate Images Using the Pixel Voting Approach
PublikacjaIn the paper, an application of the recently proposed approach to hybrid image binarization based on pixel voting is considered for industrial images. Since such images typically contain the text embossed or engraved in metal nameplates, often non-uniformly illuminated, a proper binarization of such images is usually much harder than for scanned document images, or even for the photos of text documents. Assuming that no single...
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Adaptive fuzzy modelling and control for discrete-time nonlinear uncertain systems
PublikacjaReferat przedstawia metodę adaptacyjnego rozmytego modelowania i sterowania dla nieliniowego systemu dyskretnego z niepewnością. Proponowana metoda adaptacyjna składa się z dwóch części: rozmyte modelowanie on-line z zastosowaniem systemu Takagi - Sugeno (T-S) oraz sterowanie adaptacyjne z modelem referencyjnym. Model rozmyty T-S posiada samoorganizującą się strukturę, tzn. reguły rozmyte mogą być dodawane, zamieniane lub usuwane...
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Adaptive estimation of the transformer stray capacitances for DC–DC converter modelling
PublikacjaNew low cost and accurate estimation method of transformer stray capacitances for wide band DC–DC converter modelling and design is proposed. The Wiener filter (WF) method is applied to estimate the transformer impedance – referred to the selected transformer winding configurations. Laboratory tests are used to adapt the filter, that is to find optimal impedance which minimises mean square error between measured, noise perturbed...
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Development of Intelligent Road Signs with V2X Interface for Adaptive Traffic Controlling
PublikacjaThe objective of this paper is to present a practical project of intelligent road signs, under which a series of new products for the regulation of traffic is being created. The engineering part of the project, described in this paper, was preceded by a series of experimental studies, the results of which were described in another paper accepted for publication at the MTS-ITS conference 2019, entitled "Comparative study on the effectiveness...
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Detection of Objects Buried in the Sea Bottom with the Use of Parametric Echosounder
PublikacjaThe paper contains results of a in situ research main task of which was to detect objects buried, partially or completely, in the sea bottom. Object detecting technologies employing acoustic wave sources based on nonlinear interaction of elastic waves require application of parametric sound sources. Detection of objects buried in the sea bottom with the use of classic hydroacoustic devices such as the sidescan sonar or multibeam...
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Resolving conflicts in object tracking for automatic detection of events in video
PublikacjaW referacie przedstawiono algorytm rozwiązywania konfliktów w śledzeniu obiektów ruchomych. Proponowana metoda wykorzystuje predykcję stanu obiektu obliczaną przez filtry Kalmana oraz dopasowuje wykryte obiekty do struktur śledzących ich ruch na podstawie deskryptorów koloru i tekstury. Omówiono specyficzne sytuacje powodujące konflikty, takie jak rozdzielanie obiektów. Przedstawiono wyniki testów. Algorytm może być zastosowany...
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Currently Commercially Available Chemical Sensors Employed for Detection of Volatile Organic Compounds in Outdoor and Indoor Air
PublikacjaThe paper presents principle of operation and design of the most popular chemical sensors for measurement of volatile organic compounds (VOCs) in outdoor and indoor air. It describes the sensors for evaluation of explosion risk including pellistors and IR-absorption sensors as well as the sensors for detection of toxic compounds such as electrochemical (amperometric), photoionization and semiconductor with solid electrolyte ones....
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Hedianzixue Yu Tance Jishu/Nuclear Electronics and Detection Technology
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Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges
PublikacjaThis paper provides the first review to date which gathers, describes, and assesses, to the best of our knowledge, all available publications on automating cerebral microbleed (CMB) detection. It provides insights into the current state of the art and highlights the challenges and opportunities in this topic. By incorporating the best practices identified in this review, we established guidelines for the development of CMB detection...
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Analytical progress on symmetric geometric discord: Measurement-based upper bounds
PublikacjaQuantum correlations may be measured by means of the distance of the state to the subclass ofstates having well defined classical properties. In particular, a geometric measure of asymmetricdiscord [Daki´c et al., Phys. Rev. Lett. 105, 190502 (2010)] was recently defined as the Hilbert-Schmidt distance of a given two-qubit state to the closest classical-quantum (CQ) correlated state.We analyze a geometric measure of symmetric...
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On the Role of Polarimetric Decomposition and Speckle Filtering Methods for C-Band SAR Wetland Classification Purposes
PublikacjaPrevious wetlands studies have thoroughly verified the usefulness of data from synthetic aperture radar (SAR) sensors in various acquisition modes. However, the effect of the processing parameters in wetland classification remains poorly explored. In this study, we investigated the influence of speckle filters and decomposition methods with different combinations of filter and decomposition windows sizes on classification accuracy....
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublikacjaThis study presents an advanced algorithm for selecting machine learning (ML) models for nitrous oxide (N2O) emission prediction in wastewater treatment plants (WWTPs) employing the activated sludge process. The examined ML models comprised multivariate adaptive regression spline (MARS), support vector machines (SVM), and extreme gradient boosting (XGboost). The study explores the concept that involves new criteria to select the...
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Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System
PublikacjaThe plagiarism detection problem involves finding patterns in unstructured text documents. Similarity of documents in this approach means that the documents contain some identical phrases with defined minimal length. The typical methods used to find similar documents in dig- ital libraries are not suitable for this task (plagiarism detection) because found documents may contain similar content and we have not any war- ranty that...
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DST-Based Detection of Non-cooperative Forwarding Behavior of MANET and WSN Nodes
Publikacja. Selfish node behavior can diminish the reliability of a mobile ad hoc network (MANET) or a wireless sensor network (WSN). Efficient detection of such behavior is therefore essential. One approach is to construct a reputation scheme, which has network nodes determine and share reputation values associated with each node; these values can next be used as input to a routing algorithm to avoid end-to-end routes containing ill-reputed...
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Evaluating the Use of Edge Device Towards Fall Detection in Smart City Environment
PublikacjaThis paper presents the development and preliminary testing of a fall detection algorithm that leverages OpenPose for real-time human pose estimation from video feeds. The system is designed to function optimally within a range of up to 7 meters from ground-level cameras, focusing exclusively on detected human silhouettes to enhance processing efficiency. The performance of the proposed approach was evaluated using accuracy values...
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Leakage detection and localisation in drinking water distributionnetworks by MultiRegional PCA
PublikacjaMonitoring is one of the most important steps in advanced control of complex dynamic systems. Precise information about systems behaviour, including faults indicating, enables for efficient control. The paper describes an approach to detection and localisation of pipe leakage in Drinking Water Distribution Systems (DWDS) representing complex and distributed dynamic system of large scale. Proposed MultiRegional Principal Component...
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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublikacjaDespite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...
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PROJECT OF AN TDC SIGNAL DISTRIBUTOR PROTOTYPE WITH GAL-VANIC SEPARATION DESTINED FOR STUDIES OF THE BEGINNING OF SELFIGNITION USING LANGMUIR PROBE
PublikacjaThe knowledge of pistons' TDC is crucial while performing any kind of measurement beneficial to diagnostic inference of a diesel engine. The research of engines under exploitation often cause impartial difficulties with, eg. capability of probe installation. Therefore, it becomes crucial to minimalize those. The paper presents a description of a TDC impulse distributor - divider that provides signal delivery to more than one measurement...
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Low-volume label-free SARS-CoV-2 detection with the microcavity-based optical fiber sensor
PublikacjaAccurate and fast detection of viruses is crucial for controlling outbreaks of many diseases; therefore, to date, numerous sensing systems for their detection have been studied. On top of the performance of these sensing systems, the availability of biorecognition elements specific to especially the new etiological agents is an additional fundamental challenge. Therefore, besides high sensitivity and selectivity, such advantages...
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SpamVis: A Visual Interactive System for Spam Review Detection
PublikacjaIn recent times, the number of spam reviews through various online platforms has emerged as a prime challenge, profoundly impacting businesses and consumers. These fake reviews not only distort clients’ perceptions of products and services but also erode trust within the digital ecosystem. Despite the advent of machine learning (ML) techniques for identifying spam reviews, comparing text, and pinpointing groups of spammers, there...
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The Application of Satellite Image Analysis in Oil Spill Detection
PublikacjaIn recent years, there has been an increasing use of satellite sensors to detect and track oil spills. The satellite bands, namely visible, short, medium infrared, and microwave radar bands, are used for this purpose. The use of satellite images is extremely valuable for oil spill analysis. With satellite images, we can identify the source of leakage and assess the extent of potential damage. However, it is not yet clear how to...
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The Influence of Global Corrosion Degradation on Localized Damage Detection Using Guided Waves
PublikacjaThis paper presents the results of a numerical analysis of the influence of corrosion degradation of metal plates on the wave propagation phenomenon. There are several different corrosion types, but general and pitting corrosion are the most common. General corrosion is more or less uniformly distributed over the entire exposed surface of the metal while pitting corrosion takes the form of localized cracks. Because the general...
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Histogram of Oriented Gradients with Cell Average Brightness for Human Detection
PublikacjaA 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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An application supporting the educational process of the respiratory system obstructive diseases detection
PublikacjaThe 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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An Analysis of the Performance of Lightweight CNNs in the Context of Object Detection on Mobile Phones
PublikacjaConvolutional Neural Networks (CNNs) are widely used in computer vision, which is now increasingly used in mobile phones. The problem is that smartphones do not have much processing power. Initially, CNNs focused solely on increasing accuracy. High-end computing devices are most often used in this type of research. The most popular application of lightweight CNN object detection is real-time image processing, which can be found...
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Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention
PublikacjaThis paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...
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A novel concept for tissue-metal detection and differentiation using an inductive proximity sensor
PublikacjaIn this paper a novel application of inductive proximity sensors for detection of living tissue by means of measurements of the coil impedance changes at different frequencies is described. The mathematical analyses utilizing Bessel function estimation include detected object size and its distance from a sensor. The main aim of this study is to prove the possibility of distinguishing between metal objects and living tissues. The...
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Detection of the Plant Pathogen Pseudomonas Syringae pv. Lachrymans on Antibody-Modified Gold Electrodes by Electrochemical Impedance Spectroscopy
PublikacjaThe present work describes an impedimetric immunosensor for Pseudomonas syringae pv. lachrymans (Psl) detection. This pathogen infects many crop species causing considerable yield losses, thus fast and cheap detection method is in high demand. In the assay, the gold disc electrode was modified with 4-aminothiophenol (4-ATP), glutaraldehyde (GA), and anti-Psl antibodies, and free-sites were blocked with bovine serum albumin (BSA)....
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Detection of Toxoplasma gondii Infection in Small Ruminants: Old Problems, and Current Solutions
PublikacjaToxoplasmosis is a parasitic zoonosis of veterinary importance, with implications for public health. Toxoplasma gondii infection causes abortion or congenital disease in small ruminants. Moreover, the consumption of infected meat, cured meat products, or unpasteurized milk and dairy products can facilitate zoonotic transmission. Serological studies conducted in various European countries have shown the high seroprevalence of specific...
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Analysis and Detection of Faults at Insulated Conductors of Overhead Medium Voltage Lines
PublikacjaThe 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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MultiRegional PCA for leakage detection and localisation in DWDS - approach
PublikacjaMonitoring is one of the most important parts in advanced control of complex dynamic systems. Information about systems behavior, including failures indicating, enables for efficient control. The chapter describes an approach to detection and localisation of pipe leakage in Drinking Water Distribution Systems (DWDS) representing complex and distributed dynamic system of large scale. Proposed MultiRegional Principal Component Analysis...
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Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
PublikacjaDue to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...
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Autoencoder application for anomaly detection in power consumption of lighting systems
PublikacjaDetecting 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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Pulsed UV-irradiated Graphene Sensors for Ethanol Detection at Room Temperature
PublikacjaA 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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Guided waves in steel rails - experimental works and wavelet signal processing
PublikacjaW artykule zaprezentowano analizę falkową pomierzonych eksperymentalnie fal sprężystych wzbudzanych w szynach kolejowych.
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Simulation of electric hearing - influence of simulation parameters on quality of output signal
PublikacjaW środowisku programistycznym Matlab stworzono symulację słuchu elektrycznego pacjenta implantowanego. W symulacji zastosowano algorytm przetwarzania wykorzystywany w komercyjnych systemach implantów ślimakowych - CIS (Continuous Interleaved Sampling). W pracy zbadano wpływ ilości kanałów, jak i innych parametrów sygnałów wyjściowych przy zastosowaniu sygału mowy jako sygnału wejściowego symulacji.
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Ground-based, Hyperbolic Radiolocation System with Spread Spectrum Signal - AEGIR
PublikacjaThe most popular radiolocation systems in the world (at present), is the American GPS (Global Positioning System). It is managed by the Department of Defense and there is always the possibility of the occasional inaccuracies or deliberate introduction of errors that prevent its use by the special services or armies of other countries than the U.S.A. This situation has spawned the need to develop an autonomous, ground-based radiolocation...
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Narrowband Transmission Quality in Presence of Modified IEEE 802.15.4a UWB Signal
PublikacjaPublikacja przedstawia opis stanowiska laboratoryjnego użytego do badania wpływu zakłóceń impulsowych na jakość odbioru sygnałów wąskopasmowych. Przedstawione zostały przykładowe wyniki pomiaru jakości transmisji wąskopasmowych wraz z wykazaniem, że modyfikacja widma zakłócającego sygnału IR UWB powoduje poprawę jakości odbioru sygnałów wąskopasmowych.
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A Modeling Problem of a Continuous-Time Domain Signal and Its Discrete Counterpart
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Local dynamics of fluids and dielectrics as the foundation of signal-carrying wave properties
PublikacjaThis paper develops an original approach to fundamental problems of classical linear acoustics and electromagnetics, proving a crucial role of doubly-dynamic local properties of a propagation medium in supporting wave-like fields able to carry information signals. The proof is composed of two steps concerning, subsequently, fluid acoustics and dielectric electromagnetics. The first step consists in complementing a common, practically...
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Analysis of the torque response of a car engine to the step change of the control signal
PublikacjaW pracy zamieszczono wyniki badań silnika samochodu osobowego w warunkach nieustalonych. Stan obciążenia silnika wynikał z realizowanego cyklu jezdnego w warunkach drogowych oraz sposobu sterowania układem napędowym. Parametry trakcyjne pojazdu mierzone były za pomocą systemu GPS z fenomenologiczną korektą sygnału wysokości, na której się on znajdował. Wybrane parametry pracy silnika mierzone były za pomocą sytemu komunikującego...
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Investigation of OSL signal of resistors from mobile phones for accidental dosimetry
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A simulation investigation into the signal reconstruction accuracy of the transducer with pulse frequency output
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Method and system for disciplining a local reference oscillator by GPS 1PPS signal
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Implementation complexity analysis of the turbo decoding algorithms on digital signal processor
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Assessing hydrological signal in polar motion from observations and geophysical models
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Guided Waves in Steel Rails – Experimental Works and Wavelet Signal Processing
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A diagnosis method of analog parts of mixed-signal systems controlled by microcontrollers.
PublikacjaPrzedstawiono nową klasę K-D metod diagnostyki analogowych części mieszanych sygnałowo mikrosystemów bazujących na mikrokontrolerach. Metody składają się z trzech etapów: etapu przedtestowego tworzenia słownika uszkodzeń, etapu pomiarowego bazujacego na pomiarach próbek napięcia odpowiedzi układu analogowego na pobudzenie impulsem prostokątnym wykonywanych przez wewnętrzne zasoby mikrokontrolera i z etapu detekcji i lokalizacji...
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Accuracy improvement of short signal frequency estimation with the use of digital filtration
PublikacjaW pracy przedstawiono metodę estymacji częstotliwości krótkiej obserwacji zaszumionego sygnału sinusoidalnego. Podstawowy pomiar uzyskuje się za pomocą DFT. Jednak taki pomiar dla krótkich obserwacji cechuje bardzo mała dokładność. W omawianej metodzie pomiar ten jest poprawiany z użyciem specjalnie dobranego filtru cyfrowego. Jakość przedstawianej metody porównano z kilkoma innymi metodami również bazującymi na DFT.
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Testing method of analog parts for mixed signal microsystems based on microcontrolles.
PublikacjaZaproponowano nową metodę detekcji i lokalizacji pojedynczych uszkodzeń parametrycznych, która może znaleźć zastosowanie do samo-testowania sieci analogowych w mikrosystemach mieszanych sygnałowo sterowanych mikrokontrolerami. Metoda ta jest oparta na przekształceniu transformującym próbki odpowiedzi czasowej na pobudzenie impulsem prostokątnym na krzywe identyfikacyjne na płaszczyźnie. Metoda pozwala na detekcję i lokalizację...