Search results for: bayesian magnetometry
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Kalibracja magnetometru magnetorezystancyjnego = Calibration of magnetoresistive magnetometer
PublicationObiekt o właściwościach ferromagnetycznych zaburza w bliskim otoczeniu równomierność ziemskiego pola magnetycznego. Mierząc indukcję magnetyczną można tego rodzaju obiekt wykryć i zlokalizować. W systemach magnetometrycznych wykrywających ukryte obiekty ferromagnetyczne stosowane są magnetometry transduktorowe, protonowe, pompowane optycznie oraz SQUID. Rozwój technologii półprzewodnikowej pozwala zastosować do tego rodzaju poszukiwań...
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Sharp transitions in low-number quantum dots Bayesian magnetometry
PublicationWe consider Bayesian estimate of static magnetic field, characterized by a prior Gaussian probability distribution, in systems of a few electron quantum dot spins interacting with infinite temperature spin environment via hyperfine interaction. Sudden transitions among optimal states and measurements are observed. Usefulness of measuring occupation levels is shown for all times of the evolution, together with the role of entanglement...
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Bayesian Analysis
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Magnetometry w detekcji obiektów ferromagnetycznych
PublicationW pracy przedstawiono magnetometryczną metodę wykrywania obiektów ferromagnetycznych. Opisano zasadę działania magnetometrów różnych typów. Zaprezentowano gradiometryczny system do wykrywania ukrytych obiektów ferromagnetycznych.
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Kompensacja błędu kierunkowego magnetometru pompowanego optycznie
PublicationW pracy opisano zasadę działania magnetometru pompowanego optycznie. W pracy przedstawiono metodę kompensacji błędu kierunkowego magnetometru, która pozwala na istotne zmniejszenie wpływu tego błędu na pomiary pola magnetycznego Ziemi na mobilnych platformach.
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Optical Magnetometry Based on Nanodiamonds with Nitrogen-Vacancy Color Centers
PublicationNitrogen-vacancy color centers in diamond are a very promising medium for many sensing applications such as magnetometry and thermometry. In this work, we study nanodiamonds deposited from a suspension onto glass substrates. Fluorescence and optically detected magnetic resonance spectra recorded with the dried-out nanodiamond ensembles are presented and a suitable scheme for tracking the magnetic-field value using a continuous...
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STEVAL-MKI063V1, Przykład oprogramowania akcelerometrui magnetometru LSM303DLH
PublicationW artykule opisano moduł STEVAL-MKI1063V1 oparty na układzie LSM303DLHzawierającym akcelerometr i magnetometr oraz przedstawiono sposób komunikacji z nim z poziomu komputera PC na przykładzie aplikacji napisanej w języku C++/CLI (.NET).
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Magnetometric method of detection of visually obscured objects
PublicationW pracy przedstawiono metody detekcji ukrytych w ziemi i w wodzie niebezpiecznych obiektów. Opisano metodę magnetometryczną wykrywania obiektów o właściwościach ferromagnetycznych oraz zaprezentowano wyniki eksperymentalne wykrywania obiektów z zastosowaniem gradiometrów skalarnych.
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Direct spectrum detection based on Bayesian approach
PublicationThe paper investigates the Bayesian framework's performance for a direct detection of spectrum parameters from the compressive measurements. The reconstruction signal stage is eliminated in by the Bayesian Compressive Sensing algorithm, which causes that the computational complexity and processing time are extremely reduced. The computational efficiency of the presented procedure is significantly...
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On Bayesian Tracking and Prediction of Radar Cross Section
PublicationWe consider the problem of Bayesian tracking of radar cross section. The adopted observation model employs the gamma family, which covers all Swerling cases in a unified framework. State dynamics are modeled using a nonstationary autoregressive gamma process. The principal component of the proposed solution is a nontrivial gamma approximation, applied during the time update recursion. The superior performance of the proposed approach...
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Zastosowanie układu GPS do synchronizacji magnetometrów skalarnych
PublicationW pracy przedstawiono zastosowanie układu GPS do synchronizacji pracy dwóch magnetometrów skalarnych. opisano układ pomiarowy z dwoma magnetometrami oparty na GPS i przedstawiono wyniki badań eksperymentalnych.
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DETEKCJA OBIEKTU FERROMAGNETYCZNEGO Z ZASTOSOWANIEM MAGNETOMETRÓW SKALARNYCH
PublicationW pracy przedstawiono wyniki analizy możliwości wykrywania obiektów ferromagnetycznych (statki, okręty podwodne, miny itp.) z zastosowaniem dwóch magnetometrów skalarnych. Stosując dwa magnetometry o wysokiej czułości (rzędu pT/Hz0,5) umieszczone w pewnej odległości od siebie pracujące w układzie różnicowym można wykrywać obiekty ferromagnetyczne z pewnej odległości.
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Application of Bayesian Networks for Forecasting Future Model of Farm
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Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling
PublicationSymbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of an- alyzing musical information or signals. In this paper, we propose a family of probabilistic symbolic polyphonic pitch models, which account for both the “horizontal” and the “vertical” pitch struc- ture. These models are formulated as linear or log-linear interpo- lations of up to fi ve sub-models, each of which is...
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Observation value analysis - integral part of Bayesian diagnostics
PublicationDetailed subject of the research is to analyse the value of the observation, which is a part of preposterior analysis. For the presented network, the main objective was to determine, conducting of which of three tests is the most valuable from the perspective of determining possible need or possibility to omission expensive technical expertise. The main advantage of preposterior analysis is answering the question which of the considered...
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Observation Value Analysis – Integral Part of Bayesian Diagnostics
PublicationThe decision making process, in general, is understood as a process of selecting one of the available solutions to the problem. One of possible approaches supporting the process is Bayesian statistical decision theory providing a mathematical model to make decisions of a technical nature in conditions of uncertainty. Regarding above, a detailed subject of the research is to analyze the value of the observation, which is a part...
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Wide-field magnetometry using nitrogen-vacancy color centers with randomly oriented micro-diamonds
PublicationMagnetometry with nitrogen-vacancy (NV) color centers in diamond has gained significant interest among researchers in recent years. Absolute knowledge of the three-dimensional orientation of the magnetic field is necessary for many applications. Conventional magnetometry measurements are usually performed with NV ensembles in a bulk diamond with a thin NV layer or a scanning probe in the form of a diamond tip, which requires a...
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Localization of ferromagnetic objects via magnetometric method near equator
PublicationIstnieje wiele metod wykrywania ukrytych w ziemi obiektów. Metody te można podzielić na pasywne i aktywne. Do metod pasywnych należy metoda magnetometryczna. Obiekt ferromagnetyczny zaburza w swoim otoczeniu równomierność pola magnetycznego. Korzystając z metody magnetometrycznej można to zaburzenie zmierzyć i wykryć obiekt. W pracy przedstawiono nową metodę lokalizacji obiektów ferromagnetycznych metodą magnetometryczną znajdujących...
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Application of method of differential magnetometric system for detection of sunken objects
PublicationThis paper presents a magnetometric system with scalar sensors mounted on two independent platforms, which is used to detect sunken shipwrecks. Increasing the distance between the sensors allows for more precise measurement of the difference in the magnetic induction module than in the case of sensors mounted e.g. on the aeroplane’s wings. This type of system makes it possible to enlarge detection range of the sunken wrecks.
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Compensation of magnetic disturbances caused by sensors in a differential magnetometric system
PublicationStudy of low magnetic fields necessitates the use of precision magnetometers working in a differential system. Minimization of this error is a substantial issue in the case of magnetometers working in a differential system on a mobile platform. The compensation method of heading error consists in taking measurements of changes in magnetic induction with the use of the tested magnetometer for various locations of the sensor in relation...
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A Bayesian regularization-backpropagation neural network model for peeling computations
PublicationA Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...
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Bayesian estimation of the parameters in safely and reliability models for the subjective priors.
PublicationRozważono problem estymacji nieznanych charakterystyk niezawodnościowych za pomocą nieparametrycznych metod Bayesowskich. W wielu przypadkach opinie ekspertów są jedynym źródłem danych apriorycznych w modelach Bayesowskich. Celem uzyskania subiektywnych prawdopodobieństw apriorycznych zastosowano pewne metody ekspertowe. W oparciu o proces Dirichleta, który jest kluczowym pojęciem w teorii Fergusona, zostały skonstruowane...
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Bayesian Optimization for solving high-frequency passive component design problems
PublicationIn this paper, the performance of the Bayesian Optimization (BO) technique applied to various problems of microwave engineering is studied. Bayesian optimization is a novel, non-deterministic, global optimization scheme that uses machine learning to solve complex optimization problems. However, each new optimization scheme needs to be evaluated to find its best application niche, as there is no universal technique that suits all...
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Analysis of Isocratic-Chromatographic-Retention Data using Bayesian Multilevel Modeling
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Maximum A Posteriori Bayesian Estimation of Chromatographic Parameters by Limited Number of Experiments
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Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks
PublicationThe construction of buildings invariably involves time and costs, and disruptions impact ongoing construction projects. Crisis situations in management strategies, structural confusion, and finan-cial miscalculations often arise due to misguided decision-making. This article proposes a method that combines the learning of Bayesian Networks and heuristic techniques to optimize deci-sion-making processes in construction scheduling....
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Bayesian multilevel model of micro RNA levels in ovarian-cancer and healthy subjects
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How to model temporal changes in nontargeted metabolomics study? A Bayesian multilevel perspective
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Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship
PublicationThe arise of autonomous ships has necessitated the development of new risk assessment techniques and methods. This study proposes a new framework for navigational risk assessment of remotely controlled Maritime Autonomous Surface Ships (MASS). This framework establishes a set of risk influencing factors affecting safety of navigation of a remotely-controlled MASS. Next, model parameters are defined based on the risk factors, and...
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On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach
PublicationAnalyzing the reliability of autonomous ships has recently attracted attention mainly due to epistemic uncertainty (lack of knowledge) integrated with automatic operations in the maritime sector. The advent of new random failures with unrecognized failure patterns in autonomous ship operations requires a comprehensive reliability assessment specifically aiming at estimating the time in which the ship can be trusted to be left unattended....
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Application of Bayesian Multilevel Modeling in the Quantitative Structure–Retention Relationship Studies of Heterogeneous Compounds
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How Much Can We Learn from a Single Chromatographic Experiment? A Bayesian Perspective
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Detekcja, lokalizacja i identyfikacja obiektów ferromagnetycznych z wykorzystaniem magnetometrów skalarnych. - M. Wołoszyn.
PublicationW pracy opisano pole magnetyczne Ziemi oraz zasady działania współczesnych magnetometrów stosowanych w magnetometrii. Przedstawiono opracowane przez autora metody lokalizacji i identyfikacji obiektów ferromagnetycznych z zastosowaniem magnetometrów skalarnych. Opisano dwa systemy magnetometryczne do wykrywania niebezpiecznych obiektów ukrytych w ziemi oraz systemy magnetometryczne zainstalowane na śmigłowcu i samolocie.
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Bayesian separation algorithm of THz spectral sources applied to D-glucose monohydrate dehydration kinetics
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Analyzing sets of phylogenetic trees obtained from bayesian MCMC process using topology metrics
PublicationThe reconstruction of evolutionary trees is one of the primary objectives in phylogenetics. Such a tree represents historical evolutionary relationship between different species or organisms. Tree comparisons are used for multiple purposes, from unveiling the history of species to deciphering evolutionary associations amongorganisms and geographical areas.In the paper, we describe a general method for comparing hylogenetic trees....
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Evidence-Based Risk Management for Civil Engineering Projects Using Bayesian Belief Networks (BBN)
PublicationThe authors are seeking new methods for improving the efficiency of the investments associated with the maintenance and operation of existing civil engineering structures. It is demonstrated how the knowledge about the elements of construction and operation phases and their relationships, combined with monitoring data can be used for more effective management of the risks associated with civil engineering projects. The methodology...
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Application of Bayesian Networks in risk diagnostics arising from the degree of urban regeneration area degradation
PublicationUrban regeneration as a complex project, generates many extremely specific threats affecting the increase of investment risk. Its unique nature causes that probability parameter, normally applied in the process of risk quantification, is extremely difficult to estimate. Due to lack of historical data urban regeneration related activities are therefore associated with uncertainty. According to the authors, a useful tool for resolving...
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Risk Modelling with Bayesian Networks - Case Study: Construction of Tunnel under the Dead Vistula River in Gdansk
PublicationThe process of decision-making in public procurement of construction projects during the preparation and implementation phases ought to be supported by risk identification, assessment, and management. In risk assessment one has to take into account factors that lead to risk events (background info), as well as the information about the risk symptoms (monitoring info). Typically once the risks have been assessed a decision-maker...
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The mechanisms of technological innovation in SMEs: a Bayesian Network Analysis of EU regional policy impact on Polish firms.
PublicationWe study the underlying mechanisms of technological innovation in SMEs in the context of ex-post evaluation of European Union’s regional policy. Our aim is to explain the observed change in firms’ innovativeness after receiving EU support for technological investment. To do so, we take an approach that is novel in innovation studies: a Bayesian Network Analysis to assess the effectiveness of EU policy instrument for technological...
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Magdalena Apollo dr inż.
People2017 - PhD in Civil Engineering, thesis: Risk management in construction investments related to urban regeneration projects, Gdansk University of Technology IX 2012–VI 2013 - Postgraduate Studies at Gdynia Maritime University: Research Project Management (IPMA D Certificate) 2010 – MSc in Management and Marketing, Gdansk University of Technology 2007 – MSc in Civil Engineering, Gdansk University of Technology 2007-2010 - structural...
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A new fuzzy model of multi-criteria decision support based on Bayesian networks for the urban areas' decarbonization planning
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The pharmacokinetics of dexmedetomidine during long-term infusion in critically ill pediatric patients. A Bayesian approach with informative priors
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The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings
PublicationTraffic–induced vibrations may constitute a considerable load to buildings. In this paper, vibrations transmitted through the ground caused by wheeled vehicles are considered. This phenomenon may cause cracking of plaster, cracks in load-bearing elements or even, in extreme cases, collapse of the whole structure. Measurements of vibrations of real structures are costly and laborious. Therefore, the aim of the present paper is to...
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Magnetic disturbances caused by magnetic contamination of plastics
PublicationIn the study of low magnetic fields precision magnetometers working in a differential system are used. Two optically pumped magnetometers working in a differential system allow for precise measuring of disturbances in the magnetic field. In order to attain high accuracy of magnetic field measurement, it is necessary to use appropriate materials for the construction of a magnetometric system, particularly of those located closely...
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Lokalizacja obiektu ferromagnetycznego metodą magnetometryczną na równiku = Localization of ferromagnetic objects via magnetometric method near equator
PublicationIstnieje wiele metod wykrywania ukrytych w ziemi obiektów. Metody te można podzielić na pasywne i aktywne. Do metod pasywnych należy metoda magnetometryczna. Obiekt ferromagnetyczny zaburza w swoim otoczeniu równomierność pola magnetycznego. Korzystając z metody magnetometrycznej można to zburzenie zmierzyć i wykryć obiekt. W pracy przedstawiono nową metodę lokalizacji obiektów ferromagnetycznych metodą magnetometryczną znajdujących...
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Application of Bayesian networks for inferring cause–effect relations from gene expression profiles of cancer versus normal cells
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ZASTOSOWANIE SPLOTU DO PRZETWARZANIA SYGNAŁÓW W WYKRYWANIU OBIEKTÓW PODWODNYCH
PublicationJedną z metod wykrywania obiektów podwodnych o właściwościach ferromagnetycznych jest metoda magnetometryczna. Obiekt ferromagnetyczny zaburza w swoim otoczeniu pole magnetyczne Ziemi. Zaburzenie to można zmierzyć stosując precyzyjne magnetometry. Najczęściej stosowane są magnetometry skalarne mierzące moduł indukcji magnetycznej. Czułość współczesnych magnetometrów skalarnych wynosi kilka pT/Hz0,5. Naturalne szybkie zmiany pola...
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Mirosław Wołoszyn dr hab. inż.
PeopleMirosław Wołoszyn born in 1963 in Gdynia. He received the M.Sc. degree in 1987, the Ph.D. degree in 1997, and the D.Sc. (‘habilitation’) degree in 2013, all from the Gdańsk University of Technology. Since 1987 he has been with the above university, where he is currently Associate Professor of Electrical Engineering. His research interests include localization and identification of ferromagnetic objects by means of the magnetometric...
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Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model with Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
PublicationSurrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable computational expenditures. Replacing EM analysis by fast surrogates provides a way to accelerate the design procedures. Unfortunately, modeling of microwave passives is a challenging...
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Mobilny system do detekcji obiektów ferromagnetycznych z magnetometrami pompowanymi optycznie
PublicationPrzedstawiono mobilny system do detekcji obiektów ferromagnetycznych. Każdy obiekt ferromagnetyczny zaburza w swoim otoczeniu równomierność pola magnetycznego Ziemi. Zaburzenie to może być zmierzone za pomocą precyzyjnych magnetometrów. W prezentowanym mobilnym systemie zastosowano magnetometry pompowane optycznie pracujące w układzie różnicowym. W pracy opisano magnetometryczny system do detekcji obiektów ferromagnetycznych, program...