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Wyniki wyszukiwania dla: MAGNES NADPRZEWODZĄCY
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Classification of Sea Going Vessels Properties Using SAR Satellite Images
PublikacjaThe aim of the project was to analyze the possibility of using machine learning and computer vision to identify (indicate the location) of all sea-going vessels located in the selected area of the open sea and to classify the main attributes of the vessel. The key elements of the project were to download data from the Sentinel-1 satellite [1], download data on the sea vessels [2], then automatically tag data and develop a detection...
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Optimized Deep Learning Model for Flood Detection Using Satellite Images
PublikacjaThe increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...
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Face with Mask Detection in Thermal Images Using Deep Neural Networks
PublikacjaAs the interest in facial detection grows, especially during a pandemic, solutions are sought that will be effective and bring more benefits. This is the case with the use of thermal imaging, which is resistant to environmental factors and makes it possible, for example, to determine the temperature based on the detected face, which brings new perspectives and opportunities to use such an approach for health control purposes. The...
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Respiratory Rate Estimation Based on Detected Mask Area in Thermal Images
PublikacjaThe popularity of non-contact methods of measuring vital signs, particularly respiratory rate, has increased during the SARS-COV-2 pandemic. Breathing parameters can be estimated by analysis of temperature changes observed in thermal images of nostrils or mouth regions. However, wearing virus-protection face masks prevents direct detection of such face regions. In this work, we propose to use an automatic mask detection approach...
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The role of low-energy electrons in the charging process of LISA test masses
PublikacjaThe estimate of the total electron yield is fundamental for our understanding of the test-mass charging associated with cosmic rays in the Laser Interferometer Space Antenna (LISA) Pathfinder mission and in the forthcoming gravitational wave observatory LISA. To unveil the role of low energy electrons in this process owing to galactic and solar energetic particle events, in this work we study the interaction of keV and sub-keV...
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Literature update of analytical methods for biogenic amines determination in food and beverages
PublikacjaBiogenic amines (BAs) have been reported in a variety of foods, such as fish, meat, cheese, and wines. The formation of BAs in food by the microbial decarboxylation of amino acids can result in human allergic reactions, characterized by difficulty in breathing, rash, vomiting, and hypertension. Control measures to prevent biogenic amine formation in foods and/or reduce their levels should be considered. Therefore, monitoring of...
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Prediction of the Biogenic Amines Index of Poultry Meat Using an Electronic Nose
PublikacjaThe biogenic amines index of fresh chicken meat samples during refrigerated storage was predicted based on the headspace analysis using an electronic nose equipped with an array of electrochemical sensors. The reference biogenic amines index values were obtained using dispersive liquid–liquid microextraction–gas chromatography–mass spectrometry. A prototype electronic nose with modular construction and a dedicated sample chamber...
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Bees Detection on Images: Study of Different Color Models for Neural Networks
PublikacjaThis paper presents an approach to bee detection in video streams using a neural network classifier. We describe the motivation for our research and the methodology of data acquisition. The main contribution to this work is a comparison of different color models used as an input format for a feedforward convolutional architecture applied to bee detection. The detection process has is based on a neural binary classifier that classifies...
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Application of colour image segmentation for localization and extraction text from images
PublikacjaW otaczającym nas świecie informacja tekstowa odgrywa wielką rolę. W postaci tekstowej podawane są: nazwy ulic, nazwy sklepów i instytucji, opisy przedmiotów np. tytuły książek, opakowań itp. Jednocześnie współczesne programy komputerowe służące do rozpoznawania tekstu (OCR) ''nie radzą sobie'' z analizą obrazów otrzymanaych za pomocą kamer. Segmentacja obrazu z następującą kontekstową analizą parametrów segmentów może dostarczyć...
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Switching Regulation in the Control of 5-Phase Permanent Magnet Synchronous Motor Fed by 3×5 Direct Matrix Converter
PublikacjaMatrix converter is an AC-AC direct power converter comprising of an array of bi- directional switches. It does not require an intermediate DC-link and allows sinusoidal output waveforms with varying amplitudes and frequencies. The configuration of these bi- directional switches decides the number of inputs and outputs...
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Thermal analysis and experimental verification of permanent magnet synchronous motor by combining lumped-parameter thermal networks with analytical method
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Influence of stage of lactation and year season on composition of mares' colostrum and milk and method and time of storage on vitamin C content in mares' milk
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Daphnia magna model in the toxicity assessment of pharmaceuticals: A review
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Coping strategies and sexual satisfaction in bladder cancer males
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Factors Influencing the Popularity of Artificial Insemination of Mares in Europe
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Neural networks in the diagnostics of induction motor rotor cages.
PublikacjaW środowisku Lab VIEW została stworzona aplikacja służąca do pomiaru, prezentacji i zapisu przebiegów widma prądu stojana z uwzględnieniem potrzeb pomiarowych występujących podczas badania wirników silników indukcyjnych przy użyciu sieci neuronowych. Utworzona na bazie zbioru uczącego sieć Kohonena z powodzeniem rozwiązała stawiany przed nią problem klasyfikacji widm prądu stojana, a co za tym idzie również diagnozy stanu...
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Volute scroll as an alternative to guide vanes at inlet to turbine.
PublikacjaW pracy przedstawiono alternatywny sposób zasilania turbin parowych poprzez zastosowanie podwójnej spirali zasilającej. Przedstawiono model jednowymiarowy obliczania przepływu przez spirale oraz zamieszczono wyniki obliczeń typu 3D. Pokazano jak zależy parametr nierównomierności rozkładu prędkości na wylocie od sposobu kształtowania przekroju spiral.
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Evaluating the convenience and safety effects of bicycle lanes in Gdańsk
PublikacjaBicycle lanes are lanes marked on a road and dedicated for exclusive use for cyclists.. Because they combine bike and motor traffic they provide directness and flow. However, a shared use of streets could result in bicycle-car accidents. Following up on the good practice Western countries have in planning cycle infrastructure, Gdańsk has recently introduced bike lanes on a few streets. The aim of the research was to assess the...
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Michał Michna dr hab. inż.
OsobyJest absolwentem Wydziału Elektrycznego Politechniki Gdańskiej (1998). W 2004 r. uzyskał stopień doktora. Od 2004 r. zatrudniony w Katedrze Energoelektroniki i Maszyn Elektrycznych Politechniki Gdańskiej (asystent, adiunkt, starszy wykładowca). W latach 2010-2015 zastępca kierownik katedry. Jego zainteresowania naukowe i dydaktyczne obejmują szerokie spektrum zagadnień związanych z projektowanie, modelowanie i diagnostyką maszyn...
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Prawne, techniczne i metrologiczne skutki oddziaływania zewnętrznym polem silnego magnesu neodymowego na indukcyjny licznik energii elektrycznej
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Noncentrosymmetric Triangular Magnet CaMnTeO6: Strong Quantum Fluctuations and Role of s0 versus s2 Electronic States in Competing Exchange Interactions
PublikacjaNoncentrosymmetric triangular magnets offer a unique platform for realizing strong quantum fluctuations. However, designing these quantum materials remains an open challenge attributable to a knowledge gap in the tunability of competing exchange interactions at the atomic level. Here, a new noncentrosymmetric triangular S = 3/2 magnet CaMnTeO6 is created based on careful chemical and physical considerations. The model material...
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Segmentation-Based BI-RADS Ensemble Classification of Breast Tumours in Ultrasound Images
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THE IMPACT OF EMOTIONS ON CHANGES IN THE CORRELATION COEFFICIENT BETWEEN DIGITAL IMAGES OF THE HUMAN FACE
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The hydrochemistry of high-altitude lakes in selected mountain ranges of Central and Southern Europe
PublikacjaWyniki badań hydrochemicznych 29 jezior wysokogórskich dwóch (zróżnicowanych pod względem genetycznym i współcześnie przebiegających procesów morfogenetycznych) obszarów wysokogórskich Europy: Karpat oraz Rodopów, rozpatrywane są w odniesieniu do lokalnych warunków geologicznych, klimatycznych, hydrologicznych antropopresji. Zróżnicowanie koncentracji głównych jonów (Na, K, Mg, Ca, SO4 i HCO3) wykazuje silne skorelowanie z bezwzględną...
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Determination of aliphatic amines in water by gas chromatography using headspace solvent microextraction
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Isothiocyanates may chemically detoxify mutagenic amines formed in heat processed meat
PublikacjaMeat consumption represents a dietary risk factor increasing the incidence of common cancers, probably due to carcinogenic amines (HAAs) formed upon meat heating. Interestingly, cancers whose incidence is increased by meat consumption, are decreased in populations consuming brassica vegetables regularly. This inverse correlation is attributed to brassica anticarcinogenic components, especially isothiocyanates (ITCs) that stimulate...
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Towards bees detection on images: study of different color models for neural networks
PublikacjaThis 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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DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
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Identification of the Inertia of Masses Flowing Water through the Pipes in Water Power Plants
PublikacjaW artykule przedstawiono sposób identyfikacji stałej czasowej reprezentującej bezwładność mas przepływającej wody w systemie rurociągów, w elektrowni wodnej. Przedstawiono strukturę modelu układu regulacji prędkości kątowej wykorzystywanego w procesie identyfikacji oraz przeprowadzono badania skuteczności działania metody w środowisku Matlab-Simulink. Opisano najistotniejsze wnioski wynikające z przeprowadzonych badań symulacyjnych.
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Combined gas chromatography—mass spectrometry for the analysis of central and peripheral biogenic amines
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Object-oriented approach to oil spill detection using ENVISAT ASAR images
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Receiver-side fingerprinting method for color images based on a series of quaternion rotations
PublikacjaThe proposed method is a new Joint Fingerprinting and Decryption (JFD) method that uses a cipher based on quaternion rotation to encrypt color images that are then sent to all users via multicast transmission. Individual encryption keys depend on the users’ fingerprints, so that a unique fingerprint is introduced into the image during decryption for each decryption key. A simulation-based research was conducted to examine the method’s...
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Reconstruction of dopant vertical position from Kelvin probe force microscope images
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Can popular films instil carcinophobia? Images of cancer in popular Polish cinema
PublikacjaIntroduction: Although cancer is currently considered a serious socio-medical challenge and health education in Poland has been positioned as a public health priority, the impact of popular culture on people’s ideas about cancer has been neglected. This study therefore aims to analyse the way popular Polish films portray cancer and the experience of cancer.Material and Methods: Seven popular Polish films featuring cancer...
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Constructing Sámi images in Scandinavian television series: Between pessimism and new possibilities
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Automatic Detection of Nerves in Confocal Corneal Images with Orientation-Based Edge Merging
PublikacjaThe paper presents an algorithm for improving results of automatic nerve detections in confocal microscopy images of human corneal. The method is designed as a postprocessing step of regular detection. After the nerves are initially detected, the algorithms attempts to improve the results by filling unde-sired gaps between single nerves detections in order to correctly mark the entire nerve instead of only parts of it. This approach...
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Can popular films instil carcinophobia? Images of cancer in popular Polish cinema
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The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images
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Magneto-mechanical properties evolution of Fe-C alloy during precipitation process.
PublikacjaZbadano pętlę histerezy magnetycznej oraz natężenia mechanicznego i polowego efektu Barkhausena w stopie Fe-C w funkcji czasu wygrzewania izotermicznego w temperaturze 473 K. Wyznaczono rozkłady poziomu naprężeń wewnętrznych oraz straty energii na procesy histerezowe. Wykazano, iż pole koercji Hc jest paraboliczną funkcją średniego poziomu naprężeń sigma-i.
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BIOLOGICAL AGE ASSESSMENT ALGORITHMS BASED ON X-RAY IMAGES OF BONE TISSUE
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Segmentation-Based BI-RADS ensemble classification of breast tumours in ultrasound images
PublikacjaBackground: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using arti- ficial intelligence. However, only two papers have dealt with complex BI-RADS classifications. Purpose: This study addresses the automatic classification of breast lesions into binary classes (benign vs. ma- lignant)...
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Predicting emotion from color present in images and video excerpts by machine learning
PublikacjaThis work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...
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Evaluation of the Impact of Storage Conditions on the Biogenic Amines Profile in Opened Wine Bottles
PublikacjaA survey of biogenic amine (BA) profiles in opened wine bottles has been established to monitor the level of biogenic amines (BAs) in opened bottles against time and other conditions. Bottles of red and white wine were submitted to different temperatures, stopper type (screw cap, cork), and use of vacuum devices. A total of six wines made from a variety of grapes were obtained from vineyards from regions across Poland. Dispersive...
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Study of the Flow Dynamics of Surface Water Masses in the Area of the Coastal Gulf of Gdansk
PublikacjaThe paper describes two methods of predicting the movement of small objects with surface water masses. One of the methods uses graph theory to describe the motion of water masses in port docks. The results of this study were compared to a simulation using the hydrodynamic numerical model M3D. The results obtained in a virtual environment were related to the experiments in the real world. In the coastal area of the Gulf of Gdansk,...
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A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks
PublikacjaThe visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and consequently the quality of photogrammetric products. On blurred images, it is difficult to visually locate ground control points, and the number of identified feature points decreases...
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Simplified Approach for Broadband RF Testing of Low Loss Magneto-Dielectric Samples
PublikacjaIn this paper, an attractive measurement techniqueis proposed to retrieve the broadband permittivity and permeabil-ity of the magneto-dielectric materials. The proposed techniqueis quite novel which mitigates the major problems associatedwith the conventional broadband RF material characterizationtechniques such as numerical instability and phase uncertaintywhen the length of the sample exceeds...
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DEM modelling of concrete fracture based on its structure micro-CT images
PublikacjaW rozdziale książki zawarto numeryczne wyniki mezoskopowe dotyczące postępującego pękania betonu na poziomie kruszywa. Do badania procesu pękania belki betonowej z karbem w trzech (3D) i dwóch (2D) wymiarach zastosowano metodę elementów dyskretnych (DEM). Niejednorodność betonu uwzględniono stosując czterofazowy opis: kruszywo, zaprawa, makropustki i międzyfazowe strefy przejściowe. W obliczeniach DEM na podstawie zdjęć rentgenowskich...
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Identification of Mitochondrial DNA (NUMTs) in the Nuclear Genome of Daphnia magna
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What Makes Bariatric Operations Difficult–Results of a National Survey
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Import Intensity of Production, Tasks and Wages: Microlevel Evidence for Poland.
PublikacjaObjective: This article relates to recent literature on labour market consequences of production fragmentation within Global Value Chains, analysed in the presence of workers’ heterogeneity and differences in the task content of jobs. The main aim is to assess if there is a relationship between wages of Polish workers and the degree of Polish production dependence on imported inputs. Research Design & Methods: Using microdata from...