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Search results for: NOISE PULSE DETECTION
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Tire/road noise - generation, measurement, and abatement
PublicationPodano określenia i definicje dotyczące hałasu opon samochodowych. Omówiono mechanizmy generowania tego hałasu oraz zasady modelowania. Przedstawiono metody pomiaru hałasu opon oraz stosowane systemy pomiarowe. Podano normy dotyczące hałasu opon. Omówiono wpływ opony i nawierzchni na hałas generowany przez toczące się koło ogumione. Zaprezentowano koła kompozytowe oraz opony z bieżnikiem poroelastycznym generujące niski poziom...
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Novel applications of noise measurements in technology and sensing.
PublicationPomiary szumów są źródłem informacji oraz rodzajem badań nieniszczących dotyczących jakości elementów elektronicznych oraz innych materiałów. Mogą one poprawić selektywność i czułość wykrywania gazów oraz pozwalają monitorować zjawiska korozji. W tym celu wyznacza się właściwości statystyczne fluktuacji prądu lub napięcia w zakresie małych częstotliwości. W artykule przedstawiono i przedyskutowano wybrane, ze względu na ich znaczenie...
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Noise as a Factor of Green Areas Soundscape Creation
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Optimization of active circuits for substrate noise suppression
PublicationZakłócenia generowane przez szybkie podukłady cyfrowe w mieszanych systemach analogowo-cyfrowych realizowanych na wspólnym podłożu stają się dużym problemem. W pracy zaproponowano metodę optymalizacji aktywnych układów tłumienia zakłóceń. Zilustrowano skuteczność działania metody na wybranym układzie i uzyskano ponad 9 dB poprawę tłumienia zakłóceń na częstotliwości 1GHz w porównaniu do znanych rozwiązań.
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A novel dynamic noise maps visualization tool
PublicationW referacie przedstawiono aplikację realizujacą wizualizację dynamicznych map akustycznych zintegrowaną z multimedialnym systemem monitoringu hałasu. Moduł ten został oparty na nowym podejściu do wykreślania dynamicznych map, w referacie przedstawiono porównanie wyników uzyskanych metodami tradycyjnymi i zaproponowaną metodą. Słowa kluczowe: dynamiczne mapy, wizualizacja, monitoring, hałas, system GIS
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High-performance analog circuits : bipolar noise
PublicationOmówiono typowe źródła szumów występujące w tranzystorach bipolarnych, a mianowicie: cieplne, śrutowe, generacyjno-rekombinacyjne, 1/f, 1/f2, wybuchowe (RTS),lawinowe. Przedstawiono szumowy schemat zastępczy tranzystora bipolarnego oraz opisano wydajności poszczególnych źródeł szumów. Przytoczono informacje o zastępczej rezystancji tranzystora szumów oraz współczynniku szumów.
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Analysis of electrochemical noise by means bispectral techniques
PublicationProcesy o charakterze nieliniowym są często spotykane w praktyce pomiarów elektrochemicznych oraz korozyjnych. Przykładem mogą być procesy elektrodowe kontrolowane aktywacyjnie, dla których często stosowanym podejściem jest linearyzacja. W niniejszym, wprowadzającym doniesieniu przedstawione zostały możliwości analizy nieliniowości szumu elektrochemicznego z wykorzystaniem widm wyższych rzędów. W pracy przedstawiono wyniki analizy...
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Pitting corrosion in steel and electrochemical noise intensity
PublicationPrzedstawiono analizę szumu elektrochemicznego, rejestrowanego w obecności korozji wżerowej. Stwierdzono korelację pomiędzy intensywnością szumu a ubytkiem mas elektrod stalowych. Rejestry szumowe rozłożone zostały na składowe częstotliwościowe za pomocą przekształcenia falkowego. Dla pewnych składowych stwierdzono silniejszą korelację z ubytkiem mas korodujących elektrod. Pasmo częstotliwościowe powyższych składowych odpowiada...
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Barkhausen Noise Calculation by Hysteresis Model Parameters
PublicationPętla histerezy natężenia efektu Barkhausena wyliczono wykorzystując model histerezowy. Założono, iż straty energii na efekt Barkhausena zależą od szybkości granicy domenowej oraz od częstości występowania skoków Barkhausena. Pokazano wyliczenia wykonane dla stali Fe-Si (ziarna zorientowane w kierunku [100] względem kierunku walcowania)
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Nonlinearity of electrochemical noise caused by pitting corrosion
PublicationPomiary wielkości statystycznych, innych niż rozkład widmowy czy amplitudowy mogą być źródłem dodatkowych informacji na temat mechanizmu powstawania szumu elektrochemicznego. Bispektrum stosowane jest do wykrycia istnienia składowych nieliniowych w badanym rejestrze szumowym. Analizowano elektrochemiczny szum prądowy rejestrowany w warunkach korozji wżerowej. Zaobserwowano zależność prąd-czas charakterystyczną dla stanu tworzenia...
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A Model for Low Frequency Noise Generation in MOSFETs.
PublicationPrzedstawiono model generacji szumów małoczęstotliwosciowych tranzystora MOS. Model został użyty do symulacji szumów cienkotlenkowych tranzystorów MOS. Wyniki symulacji porównano z danymi pomiarowymi. Zaprezentowano sposób wykorzystania pomiarów szumów m.cz. do wyznaczania niektórych parametrów charakteryzujących tranzystory MOS.
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Web Based Acoustic Noise Measurement System.
PublicationW referacie przedstawiono projekt multimedialnego systemu przeznaczonego do monitorowania zagrożeń hałasem środowiskowym. Nadrzędnym celem realizowanego projektu jest zwiększenie efektywności profilaktyki chorób słuchu. Opracowywany system umożliwia odbiór, przechowywanie danych, analizę i wizualizację wyników pomiarów hałasu pozyskanych od urządzeń pomiarowych za pośrednictwem Internetu. Przedstawiono również opracowanie miernika...
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Application of electrochemical noise technique in corrosion monitoring
PublicationTechnika szumu elektrochemicznego od ponad 20 lat stanowi przedmiot intensywnych badań mających na celu jej praktyczne zastosowanie w monitorowaniu korozji. U podstaw omawianej metody leży odpowiednia analiza rejestrowanych symultanicznie przebiegów prądowych i potencjałowych. W zależności od użytej techniki obróbki danych uzyskane mogą być informacje dotyczące ilościowych (szybkość) i jakościowych (rodzaj zaatakowania) cech procesu...
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Uncertainty in measuring noise parameters of a communication receiver
PublicationPrzedstawiono sposób pomiarów mocy dźwięku generowanego przez silnik sytemu napędowego z przemiennikiem częstotliwości. Wyprowadzono wyrażenie na niepewność wyznaczania mocy dźwięku emitowanego przez silnik, przy użyciu pomiarów poziomu dźwięku. Niepewność wyników pomiarów była szacowana w oparciu o metodę typu B. Przedstawiono wyniki badań laboratoryjnych i analizy wybranych składników niepewności dla układu napędowego z silnikiem...
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A Multi-Antenna Scheme for Early Detection and Mitigation of Intermediate GNSS Spoofing
PublicationThis 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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Feature type and size selection for adaboost face detection algorithm
PublicationThe article presents different sets of Haar-like features defined for adaptive boosting (AdaBoost) algorithm for face detection. Apart from a simple set of pixel intensity differences between horizontally or vertically neighboring rectangles, the features based on rotated rectangles are considered. Additional parameter that limits the area on which the features are calculated is also introduced. The experiments carried out on...
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Experimental verification and comparison of mode shape-based damage detection methods
PublicationThis paper presents experimental verification and comparison of damage detection methods based on changes in mode shapes such as: mode shape curvature (MSC), modal assurance criterion (MAC), strain energy (SE), modified Laplacian operator (MLO), generalized fractal dimension (GFD) and Wavelet Transform (WT).
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Fuel cell noise data
Open Research DataMeasurement data of Hydrogen PEM fuel cels. The voltage fluctuations were measured over single cels of stack of 10 cels.
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MICROSEISMIC EVENT DETECTION USING DIFFERENT ALGORITHMS ON REAL DATA FROM PATCH ARRAY GEOPHONE GRID FROM EASTERN POMERANIA FRACTURING JOB
PublicationThe microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing process. Hydraulic fracturing is a method of reservoir stimulation used especially for unconventional gas recovery. A matrix of several thousand geophones is placed on the surface of earth to record every little tremor of ground induced by fracturing process. Afterwards, the signal is analysed and the place of tremor occurrence...
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Detection of Face Position and Orientation Using Depth Data
PublicationIn this paper an original approach is presented for real-time detection of user's face position and orientation based only on depth channel from a Microsoft Kinect sensor which can be used in facial analysis on scenes with poor lighting conditions where traditional algorithms based on optical channel may have failed. Thus the proposed approach can support, or even replace, algorithms based on optical channel or based on skeleton...
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Histogram of Gradients with Cell Average Intensity for Human Detection
PublicationThe modification of the descriptor in human detector using Histogram of Oriented Gradients and support vector machine is presented. The proposed modification requires inserting the average cell intensitiesresulting with the increase of the length of the descriptor from 3780 to 4200 values, but it is easy to compute and instantly gives 14-26% of miss rate improvement at 10^-4 False Positives Per Window (FPPW). The modification...
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Efficiency of gas mixtures detection by resistive gas sensors
PublicationResistive gas sensors are very popular and are commonly used to detect various gases and their mixtures. Theeir main disadvantage is very limited selectivity. Practical use of gas sensors in environenmental applications requires determination of concentration of a few mixed gases at the same time. We would like to present recent results of gas detection improvement by utilizing a single gas sensor and additional measurements to...
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Optimal placement of IMU sensor for the detection of children activity
PublicationIn this paper an investigation to determine the optimal placement of IMU sensors for the purpose of children characteristic activity detection is presented. The article compares four different placement of two IMU sensors on human body. Ten healthy volunteers participated within the study. Data were collected firstly from two wireless 9-axial IMU sensors placed at the left and right wrists, then sensors were placed at lower back...
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Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video
PublicationThe article presents a novel approach to medical video data analysis and recognition of bleedings. Emphasis has been put on adapting pre-existing algorithms dedicated to the detection of bleedings for real-time usage in a medical doctor’s office during an endoscopic examination. A real-time system for analyzing endoscopic videos has been designed according to the most significant requirements of medical doctors. The main goal of...
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Noise Mapping
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Detection and Model of Thermal Traces Left after Aggressive Behavior of Laboratory Rodents
PublicationAutomation of complex social behavior analysis of experimental animals would allow for faster, more accurate and reliable research results in many biological, pharmacological, and medical fields. However, there are behaviors that are not only difficult to detect for the computer, but also for the human observer. Here, we present an analysis of the method for identifying aggressive behavior in thermal images by detecting traces...
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Letters detection in the photograph
PublicationUrządzenie do lokalizacji i odczytu napisów z przeznaczeniem dla osób niewidomych może wykorzystywać standardowe systemy rozpoznawania znaków OCR (ang. Optical Character Recognition). Niestety ze względu na złożoność scen w terenie systemy takie nie potrafią analizować zdjęć bezpośrednio. Zdjęcia przed uruchomieniem systemu OCR wymagają przetworzenia polegającego na segmentacji i wyszukaniu segmentów podobnych do liter. Podejście...
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EFFICIENCY OF GAS MIXTURES DETECTION BY RESISTIVE GAS SENSORS
PublicationResistive gas sensors are very popular and are commonly used to detect various gases and their mixtures. Their main disadvantage is very limited selectivity. Practical use of gas sensors in environmental applications (e.g., in sewage systems to protect workers, in air conditioning systems to monitor atmosphere quality) requires determination of concentration of a few mixed gases at the same time. We would like to present recent...
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Sleep Apnea Detection by Means of Analyzing Electrocardiographic Signal
PublicationObstructive sleep apnea (OSA) is a condition of cyclic, periodic ob-struction (stenosis) of the upper respiratory tract. OSA could be associated with serious cardiovascular problems, such as hypertension, arrhythmias, hearth failure or peripheral vascular disease. Understanding the way of connection between OSA and cardiovascular diseases is important to choose proper treatment strategy. In this paper, we present a method for integrated...
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Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
PublicationIntroduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and detection of AD is the emerging research topic for many researchers. The structural Magnetic Resonance Imaging (sMRI) is an extensively used imaging technique in detection of AD, because...
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Spectral Finite Element Method in Condition Monitoring and Damage Detection
PublicationIt is well known that the dynamic behaviour of engineering structures may carry very important and crucial information that can be further used for the assessment of their condition as well as detection of any damage induced. The current interest in monitoring techniques based on the propagation of guided elastic waves requires that numerical techniques used for modelling the phenomena associated must shift into the realm of high...
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Machine-aided detection of SARS-CoV-2 from complete blood count
PublicationThe current gold standard for SARS-CoV-2 detection methods lacks the functionality to perform population screening. Complete blood count (CBC) tests are a cost-effective way to reach a wide range of people – e.g. according to the data of the Central Statistical Office of Poland from 2016, there are 3,000 blood diagnostic laboratories in Poland, and 46% of Polish people have at least one CBC test per year. In our work, we show...
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Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection
PublicationAs a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware. The most extensively used method for identifying Android malware is signature-based detection. The drawback of this method, however, is that it is unable to detect unknown malware. As a consequence of this problem,...
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OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems
PublicationCurrently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...
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Resistant to correlated noise and outliers discrete identification of continuous non-linear non-stationary dynamic objects
PublicationIn this article, specific methods of parameter estimation were used to identify the coefficients of continuous models represented by linear and nonlinear differential equations. The necessary discrete-time approximation of the base model is achieved by appropriately tuned FIR linear integral filters. The resulting discrete descriptions, which retain the original continuous parameterization, can then be identified using the classical...
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Resistant to correlated noise and outliers discrete identification of continuous non-linear non-stationary dynamic objects
PublicationIn this study, dedicated methods of parameter estimation were used to identify the coefficients of continuous models represented by linear and nonlinear differential equations. The necessary discrete-time approximation of the base model is achieved by appropriately tuned FIR linear integral filters. The resulting discrete descriptions, which retain the original continuous parameterization, can then be identified using the classical...
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CMGNet: Context-aware middle-layer guidance network for salient object detection
PublicationSalient 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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Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation
PublicationAutonomous surface vehicles (ASVs) are becoming more and more popular for performing hydrographic and navigational tasks. One of the key aspects of autonomous navigation is the need to avoid collisions with other objects, including shore structures. During a mission, an ASV should be able to automatically detect obstacles and perform suitable maneuvers. This situation also arises in near-coastal areas, where shore structures like...
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Towards bees detection on images: study of different color models for neural networks
PublicationThis 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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A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System
PublicationMachine 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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Instrument detection and pose estimation with rigid part mixtures model in video-assisted surgeries
PublicationLocalizing instrument parts in video-assisted surgeries is an attractive and open computer vision problem. A working algorithm would immediately find applications in computer-aided interventions in the operating theater. Knowing the location of tool parts could help virtually augment visual faculty of surgeons, assess skills of novice surgeons, and increase autonomy of surgical robots. A surgical tool varies in appearance due to...
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Detection of ferromagnetic objects in local magnetic anomaly of the Baltic Sea
PublicationIn geological researches several kinds of methods are applied to discovering the natural resources. Planes, helicopters and UAVs (UnmAnned Vehicle) are used in researches in large areas. The gravity, electromagnetic and magnetic methods, which are used in geological researches, are presented in this paper. The special attention was paid to magnetic systems installed on mobile platforms. The magnetic field of the Earth obtained...
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Augmentation index, pulse pressure amplification and superoxide anion production in patients with coronary artery disease
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A Single-Carrier-Based Pulse-Width Modulation Template for Cascaded H-Bridge Multilevel Inverters
PublicationMultiplicity of the triangular carrier signals is a criterion for the extension of sinusoidal pulsewidth modulation, SPWM, to a number of output voltage levels per phase-leg in cascaded H-bridge (CHB) multilevel inverter (MLI). Considering medium and high voltage applications where appreciable number of output voltage levels from CHB MLI is needed, commensurate high number of carrier signals in either classical level- or phase-shifted...
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Software-based method of increasing the effective resolution of a measurement chain for a transducer with a pulse frequency output
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A microcontroller system for measurement of three independent components in impedance sensors using a single square pulse
PublicationOpracowano nową metodę pomiaru w dziedzinie czasu i wyznaczania trzech składowych elementów modelu czujnika impedancyjnego oraz zaimplementowano ją w inteligentnym czujniku impedancji sterowanym 8-bitowym mikrokontrolerem. Metoda bazuje na pobudzeniu dzielnika napięciowego składającego się z rezystora pełniącego funkcję konwertera prąd na napięcie i z czujnika impedancji pojedynczym impulsem prostokątnym o czasie trwania T bezpośrednio...
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An independent relationship between muscle sympathetic nerve activity and pulse wave velocity in normal humans
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Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
PublicationIn 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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Distributed Detection of Selected Features in Data Streams Using Grid-class Systems
PublicationThis chapter describes basic methodology of distributed digital signal processing. A choice of distributed methods of detection of selected features in data streams using grid-class systems is discussed. Problems related to distribution of data for processing are addressed. A mitigating method for data distribution and result merging is described.
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Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection
PublicationRemote sensing object detection plays a major role in satellite imaging and is required in various scenarios such as transportation, forestry, and the ocean. Deep learning techniques provide efficient performance in remote sensing object detection. The existing techniques have the limitations of data imbalance, overfitting, and lower efficiency in detecting small objects. This research proposes the spiral search grasshopper (SSG)...