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Search results for: NOISE PULSE DETECTION
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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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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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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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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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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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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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Software-based method of increasing the effective resolution of a measurement chain for a transducer with a pulse frequency output
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An independent relationship between muscle sympathetic nerve activity and pulse wave velocity in normal humans
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Augmentation index, pulse pressure amplification and superoxide anion production in patients with coronary artery disease
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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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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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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)...
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Automatic Detection and Monitoring of Cyanobacterial Blooms in the Context of the Marine Cadastre
PublicationIn the wake of the European and global spatial data infrastructures (SDI) it is important to build information systems which use and serve thematic data in compliance with the INSPIRE Directive. In the context of hydrographic data, the Directive requires EU member states to collect and share information on maritime areas divided into regions and sub-regions, as well as coastal zone management areas. These data are part of recently...
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Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling
PublicationA common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker. This approach makes two simplifying assumptions: a) phonemes can be recognized from speech with high accuracy, b) there is a single correct way for a sentence to be pronounced. These assumptions do not always hold, which can result...
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The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation
PublicationAvoiding collisions with other objects is one of the most basic safety tasks undertaken in the operation of floating vehicles. Addressing this challenge is essential, especially during unmanned vehicle navigation processes in autonomous missions. This paper provides an empirical analysis of the surface target detection possibilities in a water environment, which can be used for the future development of tracking and anti-collision...
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Efficient algorithm for blinking LED detection dedicated to embedded systems equipped with high performance cameras
PublicationThis paper presents the concept and implementation of an efficient algorithm for detection of blinking LED or similar signal sources. Algorithm is designed for embedded devices equipped with high performance cameras being a part of an indoor positioning embedded system. An algorithm to be implemented in such a system should be efficient in terms of computational power what is hard to be achieved when large amount of data from camera...
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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
PublicationShip imaging position plays an important role in visual navigation, and thus significant focuses have been paid to accurately extract ship imaging positions in maritime videos. Previous studies are mainly conducted in the horizontal ship detection manner from maritime image sequences. This can lead to unsatisfied ship detection performance due to that some background pixels maybe wrongly identified as ship contours. To address...
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Fault detection in electronic circuits using test buses
PublicationA survey of test buses designed for diagnostics of digital and analog electronic circuits is presented: the IEEE 1149.1 bus for digital circuits, the IEEE 1149.4 bus for mixed-signal and the IEEE 1149.6 bus for AC coupled complex digital circuits. Each bus is presented with its structure, solution of key elements, particularly boundary registers and a set of test instructions. Diagnosis with the use of the described buses is...
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Currently Commercially Available Chemical Sensors Employed for Detection of Volatile Organic Compounds in Outdoor and Indoor Air
PublicationThe 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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Detection system for optical coherence tomography: Czerny-Turner spectrometer
PublicationResearch methods based on spectral analysis have powerful impact on development in many field of science. Signal spectrum can be a source of useful and important data. It enables to obtain information about physical and chemical properties of tested materials. This paper has been devoted to describe optical design for high resolution spectrometer, which is significant element of optical coherence tomography (OCT) systems. Designed...
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Resolving conflicts in object tracking for automatic detection of events in video
PublicationW 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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Detection of Objects Buried in the Sea Bottom with the Use of Parametric Echosounder
PublicationThe 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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Noise and Rolling Resistance Properties of Various Types of Winter Tyres Compared to Normal Car Tyres
PublicationTo cope with winter weather conditions, potentially including snow and ice, it is common to use winter tyres, or ”all-seasons” tyres assumed to be safe both in summer and winter. In some northern countries, winter tyres are mandatory. Traditionally, it has been assumed that winter tyres are noisier than normal tyres (here called summer tyres) and winter tyres equipped with studs are assumed to be very noisy.This paper presents...
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Detection and time/frequency analysis of electric fields in the ground
PublicationThis paper sets out to detect and characterize electric fields in the ground (such as stray current fields) using a tandem time/frequency method of signal analysis. Results were obtained from investigations performed in the presence of a generated electric field with controlled variable characteristics, and in the presence of an electric field generated by a tramline. The analysis of measurement registers was performed using Short‐Time...
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A Numerical Study on Baseline-Free Damage Detection Using Frequency Steerable Acoustic Transducers
PublicationIn structural health monitoring (SHM) a considerable amount of damage detection algorithms based on guided waves (GW) have been developed. Most of them rely on extensive transducer networks, besides preliminary reference measurements of the structures. This originated a growing demand for hardware simplification and cost reduction of the wave-based SHM methods, driving the conception of new solutions enabling both: the reduction...
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Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges
PublicationThis 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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On the EM algorithm for the estimation of speech AR parameters in noise
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On electrochemical noise analysis for monitoring of uniform corrosion rate
PublicationSzybkość korozji jest określona przez rezystancję polaryzacyjną warstwy metal-elektrolit. Jej wartość może być wyznaczona za pomocą pomiarów szumów elektrochemicznych. Przedstawiono szczegółowo algorytm wyznaczania wartości rezystancji polaryzacyjnej na podstawie rejestrowanych sygnałów losowych dla przykładowych wyników badań eksperymentalnych. Oszacowano dokładność wyznaczanej wartości.
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Application of higher order spectra in the electrochemical noise analysis
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Noise measurement setups for fluctuations enhanced gas sensing
PublicationObserwacje zjawisk fluktuacyjnych w sensorach gazów pozwala zwiększyć czułość i selektywność detekcji gazów. Problemem jest budowa prostego i taniego systemu do obserwacji tych zjawisk. W artykule przedstawiono dwa systemy pozwalające na obserwacje szumów w rezystancyjnych sensorach gazów dostępnych na rynku i prototypowych, wykonanych z warstwy nanocząstek o zbliżonych wymiarach.
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VARIOUS PRESENTATION OF NOISE PERCEPTION IN BYDGOSZCZ GREEN AREAS
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Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter
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Development of low noise CCD readout front-end
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Development of low noise CCD readout front-end
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Multichannel self-optimizing active noise control scheme
PublicationThe problem of cancellation of a nonstationary sinusoidal interference, acting at the output of an unknown multivariable linear stable plant, is considered. The proposed cancellation scheme is a nontrivial extension of the SONIC (self-optimizing narrowband interference canceller) algorithm, developed earlier for single-input, single-output plants. In the important benchmark case - for disturbances with randomwalk-type amplitude...
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Application of non-stationary techniques in the analysis of electrochemical noise.
PublicationKlasyczne podejście do analizy szumu elektrochemicznego oparte jest na wstępnym założeniu jego stacjonarności. Pomimo użyteczności, tego typu analiza często prowadzi do mylących wniosków, wynikających z niestacjonarności rejestrów szumowych. W pracy przedstawione zostały możliwości krótkoczasowej transformacji Fouriera, umożliwiającej uzyskanie zależnych od czasu widm mocy sygnału. Osiągane jest to dzięki wykorzystywaniu ruchomego,...
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Substrate noise-aware floorplanning for mixed-signal SOCs.
PublicationOpisano nową metodę projektowania systemów na chipie z uwzglednieniem minimalizacji szumu podłożowego. Optymalizacje rozmieszczenia bloków układowych na chipie uzyskuje się dzieki wykorzystaniu algorytmu ewolucyjnego minimalizującego funkcję celu uwzględniającą poziom szumu podłożowego.
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Noise performance of continuous-time active-RC filters.
PublicationW pracy przedstawiono metodę analizy właściwości szumowych filtrów aktywnych RC czasu ciągłego. Prezentowana procedura wykorzystuje model integratorowy, z odpowiednim dla tej klasy filtrów opisem macierzowym. Dokładność osiągniętych wyników teoretycznych dla przykładowego filtru potwierdzono rezultatami otrzymanymi przy pomocy symulatora SPICE.
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Electrochemical noise analysis methods for the investigation of corrpsion processes
PublicationProcesy korozji mogą być badane przez obserwacje przepływu ładunków między elektrolitem a korodującą elektrodą metalową. Przepływy te są obserwowane jako fluktuacje prądu i napięcia nazywane szumem elektrochemicznym. Różne rodzaje procesów korozji mogą być identyfikowane za pomocą szumów elektrochemicznych. Szybkość korozji jednorodnej jest określana przez estymację rezystancji polaryzacji występującej między elektrolitem a metalem....
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On accurracy of polarization resistance estimation by electrochemical noise measurements
PublicationPrzedstawiono sposób estymacji rezystancji polaryzacji, wykorzystywanej do oceny szybkości procesów korozji. Zaproponowano formułę określającą błąd losowy estymacji rezystancji polaryzacji. Przytoczono i przedyskutowano eksperymentalne wyniki estymacji rezystancji polaryzacji na podstawie pomiarów szumów elektrochemicznych w układzie trzech elektrod pomiarowych.
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Design of low noise preamplifers for characterization of LSCO bolometers
PublicationW artykule przedstawiono wymagania stawiane układom do pomiaru szumów bolometrów. Ze względu na niski poziom mierzonych szumów układy te wymagają zastosowania niskoszumnych przedwzmacniaczy i układów ustalających punkt pracy badanych detektorów. Omówiono konstrukcje dwóch przedwzmacniaczy z zintegrowanymi układami polaryzacji. Przedstawiono wyniki pomiarów szumów w zakresie częstotliwości 10-90Hz. Przedstawiono możliwości ulepszenia...
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Modeling of substrate noise block properties for early rediction.
PublicationZaproponowano nowe podejscie do modelowania zakłóceń podłozowych we wczesnym etapie projektowania systemów na wspólnym podłożu krzemowym. Modelowanie zakłóceń oparto na założeniu, że głównym źródłem zakłóceń podłożowych jest sieć zasilająca. W oparciu o przeprowadzone symulacjie wykazano słusznosć takiej metody.
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Substrate noise modeling in early floorplanning of MS-SOCs.
PublicationW pracy zaproponowano model częstotliwościowy bloków analogowych wrażliwych na zakłócenia oraz bloków cyfrowych generujących zakłócenia w systemach mieszanych realizowanych na wspólnym podłożu krzemowym. Zaproponowane modele zostały wykorzystane w oprogramowaniu optymalizującym rozmieszczenie bloków funkcjonalnych na struktórze krzemowej. Dzieki użyciu procedur optymalizacyjnych uzyskano znaczącą redukcje poziomu zakłóceń przy...
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DST-Based Detection of Non-cooperative Forwarding Behavior of MANET and WSN Nodes
Publication. 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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Leakage detection and localisation in drinking water distributionnetworks by MultiRegional PCA
PublicationMonitoring 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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Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System
PublicationThe 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...