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Catalog Publications
Year 2017
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M2M communications system proposal for maritime applications
PublicationThis article describes the proposal to use the M2M communication to enhance the safety of people, ships and other marine infrastructure, in broadly defined marine systems. In addition, there are numerous examples of planned solutions to be implemented in the near future as well as new services. The proposal for M2M communication system architecture is described below. In addition, the use of the STRUGA system radio interface as...
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Maestro Fox: Klaus R. Kunzmann
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MAGAZYNOWANIE ENERGII CIEPLNEJ DLA POTRZEB BUDYNKU - PRZEGLĄD ROZWIĄZAŃ I SPOSOBÓW ZINTEGROWANIA ICH Z BRYŁĄ OBIEKTU
PublicationMagazynowanie energii cieplnej pozyskanej ze źródeł odnawialnych to obiecująca technologia mająca poprawić wydajność energetyczną budynków. Jest to obecnie popularny temat wielu badań dążących do doboru optymalnych parametrów magazynu, takich jak jego rozmiar, rodzaj wypełnienia, lokalizacja i sposób instalacji w budynku. Każdy z tych czynników ma istotny wpływ na zmniejszenie zapotrzebowania energetycznego zarówno w sektorze budownictwa...
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Magnetic and capacitive couplings influence on power losses in double circuit high voltage overhead transmission line
PublicationPurpose – The paper aims to discuss problems of power and energy losses in a double-circuit overhead transmission line. It was observed from energymeters’ readings, that in such a line, active power losses can be measured as “negative”. The “negative” active power losses appear when the active power injected to the circuit is lower than the active power received at the circuit end. The purpose of this paper is to explain this phenomenon. Theoretical...
Year 2006
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MAC contention in a wireless LAN with noncooperative anonymous stations
PublicationRozpatruje się model sieci bezprzewodowej wykorzystywanej przez wzajemnie nieprzenikalne grupy stacji anonimowych. Przy ustalonej regule wyłaniania zwycięzcy rywalizacji o dostęp do medium, stacje posiadają swobodę wyboru strategii selekcji szczeliny rywalizacyjnej. Dla szerokiego zbioru możliwych strategii proponuje się metodologię ich oceny i testowania wydajności opartą na pojęciu zbliżonym do ewolucyjnej stabilności.
Year 2022
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Machinability investigation in electric discharge machining of carbon fiber reinforced composites for aerospace applications
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Machine Learning and data mining tools applied for databases of low number of records
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Machine learning applied to acoustic-based road traffic monitoring
PublicationThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Machine learning applied to acoustic-based road traffic monitoring
PublicationThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Machine Learning for Control Systems Security of Industrial Robots: a Post-covid-19 Overview
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Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines
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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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Macrophytobenthos in the Puck Bay in 2010–2018 Dataset
PublicationThe dataset titled Biomass of macrophytobenthos in the Puck Bay in 2010-2018 con-tains data on the qualitative composition and biomass of macrophytobenthos (flow-er plants and macroalgae) in samples collected in the Puck Bay area (Gulf of Gdańsk, southern Baltic Sea) at 20 stations between 2010–2018. The data was supplemented with additional information: values of measured parameters of water and sediment, e.g. tem-perature...
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Magazynowanie ciepła i energia odpadowa
PublicationPrzedstawiono technologie magazynowania ciepła, opisano wybrane konstrukcje magazynów ciepła i ich zasadę działania, zdefiniowano pojęcie energii odpadowej oraz wskazano wybrane urządzenia i układy służące do odzyskiwania energii cieplnej.
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Magnesium-Doped Sr2(Fe,Mo)O6−δ Double Perovskites with Excellent Redox Stability as Stable Electrode Materials for Symmetrical Solid Oxide Fuel Cells
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Magnetic anisotropy in the exchange-biased laser-patterned thin Co/CoO films
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Magnetic Covalent Organic Frameworks—Fundamentals and Applications in Analytical Chemistry
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Magnetic deep eutectic solvents – Fundamentals and applications
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Magnetic deep eutectic solvents – Fundamentals and applications
PublicationMagnetic deep eutectic solvents (MDES), a relatively new subclass of conventional deep eutectic solvents (DES) containing additional paramagnetic components in their structure. MDES exhibit a strong response toward external magnetic fields, thus they can improve many industrial and analytical applications. In addition, this new group of solvents present unique physicochemical properties that can be easily tuned by selecting the...
Year 2018
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Machine Learning Algorithm-Based Tool and Digital Framework for Substituting Daylight Simulations In Early- Stage Architectural Design Evaluation
PublicationThe aim of this paper is to examine the new method of obtaining the simulation-based results using backpropagation of errors artificial neural networks. The primary motivation to conduct the research was to determine an alternative, more efficient and less timeconsuming method which would serve to achieve the results of daylight simulations. Three daylight metrics: Daylight Factor, Daylight Autonomy and Daylight Glare Probability have...
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Machine Learning Applied to Aspirated and Non-Aspirated Allophone Classification—An Approach Based on Audio "Fingerprinting"
PublicationThe purpose of this study is to involve both Convolutional Neural Networks and a typical learning algorithm in the allophone classification process. A list of words including aspirated and non-aspirated allophones pronounced by native and non-native English speakers is recorded and then edited and analyzed. Allophones extracted from English speakers’ recordings are presented in the form of two-dimensional spectrogram images and...
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Machine Learning in Multi-Agent Systems using Associative Arrays
PublicationIn this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...
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MACHINE VISION DETECTION OF THE CIRCULAR SAW VIBRATIONS
PublicationDynamical properties of rotating circular saw blades are crucial for both production quality and personnel safety. This paper presents a novel method for monitoring circular saw vibrations and deviations. A machine vision system uses a camera and a laser line projected on the saw’s surface to estimate vibration range. Changes of the dynamic behaviour of the saw were measured as a function of the rotational speed. The critical rotational...
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Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts
PublicationProcess selection and sequencing, as one of the most complex issues when evaluated from a mathematical point of view and crucial in CAPP, still attract research attention. For the current trend of intelligent manufacturing, machining features (MFs) are the information carriers for workpiece geometry and topology representation. They are basically derived from CAD models and are used by downstream engineering applications. A feature-based...
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Macierzowa analiza konstrukcji prętowych w środowisku MATLAB®
PublicationNiniejsza książka poświęcona jest metodzie przemieszeń w ujęciu macierzowym, znanej także pod nazwą bezpośredniej lub komputerowej metody przemieszczeń. Podejście to jest szczególnym przypadkiem metody elementów skończonych (MES), która jest od wielu lat powszechnie stosowana w działalności inżynierskiej, w tym do analizowania różnorodnych problemów mechaniki. Metoda przemieszczeń jest dedykowana rozwiązywaniu układów prętowych....
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Macromolecular Templates for Synthesis of Inorganic Nanoparticles
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Magiczne światło - koncept HCL
PublicationŚwiatło od wieków kojarzone było ze strefą sacrum, zjawiskiem nie do końca poznanym mistycznym i magicznym. Twórcy dzieł artystycznych lub architektonicznych często odwoływali się do konotacji świetlnych, próbując oddać relacje człowieka z rzeczywistością pozamaterialną lub pozazmysłową, oraz stworzyć wnętrza inspirujące takie przeżycia. Pomimo mistycznej otoczki światło jako zjawisko fizyczne zostało opisane językiem technicznym...
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Magnetic field effects in dye-sensitized and organic solar cells
PublicationThe charge recombination and exciton dissociation are generally recognized as the basic electronic processes limiting the efficiency of photovoltaic devices. The aim of this thesis is to understand the electronic processes limiting the operation of efficient solar cells with particular emphasis on the role of electronic states endowed with magnetic dipole moment. The research work is divided into two parts. The first part deals...
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Magnetic field gradient as the most useful signal for detection of flaws using MFL technique
PublicationThe magnetic flux leakage (MFL) technique is extensively used for detection of flaws as well as for evaluation of their dimensions in ferromagnetic materials. However, proper analysis of the MFL signal is hindered by the MFL sensor velocity causing distortions of this signal. Traditionally measured components of the MFL signal are particularly sensitive to the scanning velocity. In this paper, an another signal – the gradient of...
Year 2021
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Machine Learning and Electronic Noses for Medical Diagnostics
PublicationThe need for noninvasive, easy-to-use, and inexpensive methods for point-of-care diagnostics of a variety of ailments motivates researchers to develop methods for analyzing complex biological samples, in particular human breath, that could aid in screening and early diagnosis. There are hopes that electronic noses, that is, devices based on arrays of semiselective or nonselective chemical sensors, can fill this niche. Electronic...
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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublicationThis study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...
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Machine Learning for Sensorless Temperature Estimation of a BLDC Motor
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Machine-Learning-Powered EM-Based Framework for Efficient and Reliable Design of Low Scattering Metasurfaces
PublicationPopularity of metasurfaces has been continuously growing due to their attractive properties including the ability to effectively manipulate electromagnetic (EM) waves. Metasurfaces comprise optimized geometries of unit cells arranged as a periodic lattice to obtain a desired EM response. One of their emerging application areas is the stealth technology, in particular, realization of radar cross section (RCS) reduction. Despite...
Year 2020
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublicationThis chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...
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Machine Learning Modelling and Feature Engineering in Seismology Experiment
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Year 2024
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Machine learning approach to packaging compatibility testing in the new product development process
PublicationThe paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublicationBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
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Machine-Learning-Based Global Optimization of Microwave Passives with Variable-Fidelity EM Models and Response Features
PublicationMaximizing microwave passive component performance demands precise parameter tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often requires a comprehensive approach due to their complex geometries and miniaturized structures. However, the computational burden of optimizing these components via full-wave electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit...
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Macrocyclic derivatives of imidazole as chromoionophores for bismuth(III)/lead(II) pair
Publication18-membered diazomacrocycles with imidazole or 4-methylimidazole residue as a part of macrocycle were used as chromoionophores in bismuth(III) and lead(II) dual selective optodes for the first time. Cellulose triacetate membranes doped with macrocyclic chromoionophores are bismuth(III) and lead(II) selective with color change from orange/red to different shades of blue and violet, respectively. Results obtained for model and real...
Year 2023
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Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects
PublicationMachine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects Hammed A. Mojeed & Rafal Szlapczynski Conference paper First Online: 14 September 2023 161 Accesses Part of the Lecture Notes in Computer Science book series (LNAI,volume 14125) Abstract Software development project requires proper planning to mitigate risk and...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...
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Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
PublicationNowadays, due to improvements in seismic codes and computational devices, retrofitting buildings is an important topic, in which, permanent deformation of buildings, known as Residual Interstory Drift Ratio (RIDR), plays a crucial role. To provide an accurate yet reliable prediction model, 32 improved Machine Learning (ML) algorithms were considered using the Python software to investigate the best method for estimating Maximum...
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Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
PublicationRegarding the unpredictable and complex nature of seismic excitations, there is a need for vulnerability assessment of newly constructed or existing structures. Predicting the seismic limit-state capacity of steel Moment-Resisting Frames (MRFs) can help designers to have a preliminary estimation and improve their views about the seismic performance of the designed structure. This study improved data-driven decision techniques in...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
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Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublicationComplexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data...
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Macro-nutrients recovery from liquid waste as a sustainable resource for production of recovered mineral fertilizer: Uncovering alternative options to sustain global food security cost-effectively
PublicationGlobal food security, which has emerged as one of the sustainability challenges, impacts every country. As food cannot be generated without involving nutrients, research has intensified recently to recover unused nutrients from waste streams. As a finite resource, phosphorus (P) is largely wasted. This work critically reviews the technical applicability of various water technologies to recover macro-nutrients such as P, N, and...
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Magazynowanie ciepła
PublicationMagazynowanie ciepła, obok magazynowania energii elektrycznej, w dzisiejszych czasach stanowi podstawę zrównoważonego gospodarowania zasobami surowcowymi. Przyczynia się do poprawy efektywności energetycznej procesów przemysłowych, wydajniejszego ogrzewania obiektów czy pomieszczeń, a dzięki wykorzystaniu różnego rodzaju urządzeń i materiałów sprzyja zmniejszeniu zużycia paliw, w efekcie czego następuje ograniczenie emisji do środowiska...
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Magazynowanie energii elektrycznej
PublicationŚwiatowa gospodarka opiera się na energii, dlatego wymaga się, aby energia była łatwo dostępna, stosunkowo tania, a jej dostawy niezawodne. Zmiany klimatyczne powodują jednak, że wzrastają wymogi dotyczące redukcji emisji CO2, a co za tym idzie – zwiększenia udziału „zielonej energii” pochodzącej ze źródeł odnawialnych. Ramy europejskiej polityki klimatyczno-energetycznej do roku 2030 zakładają m.in. redukcję emisji ditlenku węgla...
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Magnetic anisotropy and structural flexibility in the f ield-induced single ion magnets [Co{(OPPh2) (EPPh2)N}2], E = S, Se, explored by experimental and computational methods
PublicationDuring the last few years, a large number of mononuclear Co(II) complexes of various coordination geometries have been explored as potential single ion magnets (SIMs). In the work presented herein, the Co(II) S = 3/2 tetrahedral [Co{(OPPh2)(EPPh2)N}2], E = S, Se, complexes (abbreviated as CoO2E2), bearing chalcogenated mixed donor-atom imidodiphosphinato ligands, were studied by both experimental and computational techniques. Specifically,...
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Magnetic deep eutectic solvents as efficient media for extraction of furfural and 5-hydroxymethylfurfural from aqueous samples
PublicationThe extraction of furfural (FF) and 5-hydroxymethylfurfural (HMF) from hydrolysates is currently one of the main challenges in bio-refinery. In this work, the separation of FF and HMF from the aqueous phase was carried out using a new type of green solvents – Magnetic Deep Eutectic Solvents (MDES). A conductor-like screening model for realistic solvents (COSMO-RS) was used for the preselection of 400 MDES. MDES which exhibit the...
Year 2019
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MACHINE LEARNING SYSTEM FOR AUTOMATED BLOOD SMEAR ANALYSIS
PublicationIn this paper the authors propose a decision support system for automatic blood smear analysis based on microscopic images. The images are pre-processed in order to remove irrelevant elements and to enhance the most important ones - the healthy blood cells (erythrocytes) and the pathologic (echinocytes). The separated blood cells are analyzed in terms of their most important features by the eigenfaces method. The features are the...
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Machine learning techniques combined with dose profiles indicate radiation response biomarkers
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Machine Learning Techniques in Concrete Mix Design
PublicationConcrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...
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MACHINE LEARNING–BASED ANALYSIS OF ENGLISH LATERAL ALLOPHONES
PublicationAutomatic classification methods, such as artificial neural networks (ANNs), the k-nearest neighbor (kNN) and selforganizing maps (SOMs), are applied to allophone analysis based on recorded speech. A list of 650 words was created for that purpose, containing positionally and/or contextually conditioned allophones. For each word, a group of 16 native and non-native speakers were audio-video recorded, from which seven native speakers’...
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Macromodels for Efficient Analysis of Open-Region Problems Using the Finite Element Method
PublicationThis paper presents a local model-order reduction, called macromodeling, applied to speed-up the simulations of open-region problems, analyzed by means of finite element method. This technique is illustrated by a numerical example, which deals with a dielectric resonator antenna (DRA). The obtained results show that the proposed approach is reliable and can significantly increase the standard finite element method efficiency.
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Macroscopic Evaluation of Gastric Specimens After Laparoscopic Sleeve Gastrectomy—an Optimum Screening Test for Incidental Pathologies?
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Magnesiate-Utilized/Benzyne-Mediated Approach to Indenopyridones from 2-Pyridones: An Attempt To Synthesize the Indenopyridine Core of Haouamine
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Magnesium porphyrazine with peripheral methyl (3,5-dibromophenylmethyl)amino groups – synthesis and optical properties
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Magnetic and structural phase transition in Ni50Mn35.5In14.5 ribbon
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Year 2005
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Machine learning system for estimating the rhythmic salience of sounds.
PublicationW artykule przedstawiono badania dotyczące wyszukiwania danych rytmicznych w muzyce. W pracy przedstawiono postać funkcji rankingujacej poszczególnych dźwięków frazy muzycznej. Opracowano metodę tworzenia wszystkich możliwych hierarchicznych struktur rytmicznych, zwanych hipotezami rytmicznymi. Otrzymane hipotezy są następnie porządkowane w kolejności malejącej wartości funkcji rankingującej, aby ustalić, która ze znalezionych...
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MAC-layer vulnerabilities of IEEE 802.11 wireless networks
PublicationDla sieci bezprzewodowych pracujących według standardu IEEE 802.11 przeprowadzono analizę symulacyjną i badania pomiarowe w specjalnie zestawionej konfiguracji w celu określenia rozdziału pasma transmisyjnego pomiędzy stacje uczciwe i stacje atakujące wybrane mechanizmy protokołu MAC.
Year 2011
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Machined Surface Roughness Including Cutter Displacements in Milling of Hardened Teel
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Macromodeling in Finite Differences
PublicationRozdział opisuje technikę wykorzystania procesu makromodelowania (wykorzystanie makromodelu do opisu równań różnicowych) w analizie różnic skończonych w dziedzinie czasu. Zawarte informacje pozwalają na samodzielne zaimplementowanie metody i pokazują możliwości poprawienia uzyskiwanych wyników.
Year 2008
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Machinery for severe climate conditions
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Macromodeling of multiport systems using a fast implementation of the vector fitting method
PublicationMakromodelowanie układów wieloportowych przy użyciu vector fittingu jest czasochłonne oraz wymaga dużych zasobów obliczeniowych w przypadku gdy wszystkie elementy macierzy systemowej dzielą wspólne bieguny. Artykuł prezentuje stabilne rozwiązanie, które usuwa problem rzadkości macierzy poprzez zastosowanie bezpośrednie dekompozycje QR. Jako przykład przedstawiony został 60 portowy układ, który ilustruje oszczędność czasu potrzebnego...
Year 2012
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Machine-to-Machine communication and data processing approach in Future Internet applications
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Macro Models of Casualties in Road Transport / Modelowanie Strat Osobowych W Transporcie Drogowym
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Macro models of casualties in road transport. Modelowanie strat osobowych w transporcie drogowym.
PublicationW referacie przedstawiono propozycję makro modelu strat osobowych ponoszonych w wypadkach drogowych. Zaproponowano modele liczby ofiar śmiertelnych wypadków drogowych zbudowanych na bazie danych z kilkudziesięciu krajów całego świata. Przedstawione koncepcje budowy modeli mogą posłużyć do opracowania modeli czynnikowych opisujących strategiczne ryzyko społeczne na sieci dróg wybranych krajów z całego świata. jedną z koncepcji...
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Macro-elements and Model Order Reduction for Efficient Three-Dimensional FEM Analysis
PublicationAn efficient model order reduction (MOR) methodology for three dimensional vector finite element method (FEM) is developed to accelerate simulations of the structures containing features that cause strong variations of mesh density. As the result of presented algorithm, FEM subsystems of equations corresponding to the selected refined region are converted into a very compact sets of linear equations, called macro-elements.Numerical...
Year 2004
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Machining by abrasive-metallic lapping tools.
PublicationPrzedstawiono kontrukcję niekonwencjonalnych narzędzi ścierno-metalowych do docierania. Opracowane narzędzia wykorzystano do badań wydajności i jakości docierania elementów ceramicznych. Określono wpływ podstawowych warunków docierania na efekty obróbki powierzchni płaskich.
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Machining of the flat surfaces with abrasive-metallic lapping tools.
PublicationPrzedstawiono konstrukcje narzędzi ścierno-metalowych do obróbki powierzchni płaskich na docierarkach jednotarczowych. Przeprowadzono badania wydajności i jakości powierzchni elementów ceramicznych o małych gabarytach.
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Macro process of a Knowledge Supply Chain System (KSCS).
PublicationW pracy zaprezentowano koncepcję platformy służącej do generowania przetwarzania i składowania wiedzy gromadzonej w przedsiębiorstwie.
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Macromodels in the frequency domain analysis of microwave resonators.
PublicationW artykule zaprezentowana jest technika włączania makromodeli do metod siatkowych sformułowanych w dziedzinie częstotliwości.W odróżnieniu do poprzednich, nowy schemat nie wprowadza zależności częstotliwościowej do macierzy systemowej i dzięki temu może być użyta w analizie rezonatorów. Testy numeryczne pokazują wzrost dokładności obliczeń w szerokim zakresie częstotliwości, przy czym właściwości zbieżności iteracyjnego algorytmu...
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Maczużnik nasięźrzałowy Cordyceps ophioglossoides (Erenb.: Fr.) Link w okolicy Gdańska (województwo pomorskie).
PublicationW artykule opisano dwa stanowiska maczużnika nasięźrzałowego Cordyceps ophioglossoides, stwierdzone w okolicy Gdańska. Opisano siedlisko tego grzyba - wymieniono typy lasów i rodzaje drzewostanów, rośliny runa oraz macromycetes towarzyszące omawianemu gatunkowi grzyba. Omówiono jego rozsiedlenie na świecie i w kraju. Opisano budowę owocników maczużnika, jego biologię i ekologię, a także jego żywiciela - jeleniaka sarniego. Podkreślono,...
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Magazyn danych ROLAP jako źródło systemów wspomagania decyzji. Dlaczego systemy OLTP nie wystarczają?
PublicationOmówiono narzędzia informatyczne stosowane w procesie projektowania złożonych hurtowni danych.
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Magetic field effects on organic electrophosphorescence.
PublicationPo raz pierwszy zarejestrowano kilkuprocentowy wzrost kwantowej wydajności elektroluminescencji (EL) w diodach z emiterami fosforescencyjnymi Ir(ppy)3 i PtOEP umieszczonymi w zewnętrznym polu magnetycznym. Zaobserwowane zmiany wyjaśniono na podstawie magnetycznej modulacji oddziaływań nadsubtelnych powodujących wzajemną konwersję singletowych i trypletowych skorelowanych par elektron-dziura (e-h).
Year 2007
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Macierzowy opis okretowego środowiska elektromagnetycznego
PublicationW artykule poruszono problemy zwiazane z analizowaniem stanu kompatybilności elektromagnetycznej systemów i urzadzeń okretowych. Scharakteryzowano i opisano zagrożenia w postaci źródeł zaburzeń występujące w okrętowym środowisku elektromagnetycznym, mogace wpływać na bezpieczeństwo okrętu i załogi. Z punktu widzenia ograniczenia emisji e-m omówiono rolę struktur okrętowych. Na podstawie analizy źródeł emisji pola elektromagnetycznego...
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Macroscopic models for quantum systems and computers
PublicationOpisano układy makroskopowe realizujące dwubitowe operacje kwantowe.
Year 2013
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MACRO MODEL OF SEAT BELT USE BY CAR DRIVERS AND PASSENGERS
PublicationThe article presents some problems of seat belt use by car drivers and passengers. It looks in particular at seat belt use and effectiveness in selected countries. Next, factors of seat belt use are presented and methodology of model development. A macro model of seat belt use is presented based on data from around fifty countries from different continents.
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Macroeconomic functions of the Russian stock market
PublicationThe purpose of this article is to present the structure of the stock market in the Russian Federation and the significance of this part of national financial system for the whole economy, particularly the degree of main macroeconomic functions fulfillment. First part of the text includes an overview of the main theoretical concepts linked with the stock market roles as well as a brief description of results of selected studies...
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Magia oświetlenia
PublicationObecnie oświetlenie, oprócz funkcji praktycznej, spełnia również walory estetyczne: wpływa na atmosferę pomieszczenia i stanowi element dekoracji. Na rynku dostępny jest szeroki wachlarz lamp: od tradycyjnych świetlówek do żarówek halogenowych i nowoczesnych diod świecących LED.
Year 2016
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Macromodeling techniques for accelerated finite element analysis
PublicationThis paper deals with the Model Order Reduction applied locally in the Finite Element Method (FEM) analysis. Due to the reduction process, blocks of FEM system matrices associated with selected subregions of the computational domain are projected onto the subspaces spanned by the vectors of suited orthogonal projection basis. In effect, large and sparse FEM matrices are replaced with small and dense ones, called macromodels. This...
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Magazynowanie ciepła i chłodu uzyskanych dzięki wykorzystaniu ciepła odpadowego z silników jednostek morskich
PublicationPrzetworzenie ciepła odpadowego ze spalin silników diesla stwarza możliwości jego wykorzystania do ogrzewania, chłodzenia, a także wytwarzania energii elektrycznej. Dzięki temu możliwe jest obniżenie kosztów zapewnienia komfortu cieplnego w pomieszczeniach na statku. W dalszej części autorzy omówili możliwości magazynowania ciepła bądź chłodu w celu pokrycia późniejszego zapotrzebowania. Opisane zostały różne materiały wypełniające...
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Magazynowanie energii elektrycznej i gospodarka wodorowa
PublicationW artykule dokonano przegl ą du aktualnych technologii magazynowania energii elektrycznej oraz zestawiono uzyskiwane parametry w aspekcie zastosowa ń w zasobnikach systemowych. Przedstawiono studium mo ż liwo ś ci magazynowania energii z odnawialnych ź róde ł energii (O Ź E) w zasobnikach akumulatorowych i elektrowniach szczytowo-pompowych w Polsce. Omówiono tak ż e mo ż liwo ś ci wykorzystania...
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Magazyny ciepła ze złożem naturalnym i złożem na bazie materiałów zmiennofazowych
PublicationW artykule zaprezentowano możliwości wykorzystania magazynowania energii w technologii budowlanej. Przedstawiono najnowsze trendy rozwoju tej technologii w oparciu o wykorzystanie materiałów zmiennofazowych oraz nowoczesnych materiałów konstrukcyjnych . Pokazano historyczne jak i najnowsze rozwiązania magazynów i obiektów budowlanych z nimi współpracujących. Autorzy dokonali swoistego przeglądu rozwiązań mogących mieć zastosowanie...
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Magnesium(ii) 1-(1-adamantylsulfanyl)phthalocyanine – synthesis, photochemical and electrochemical properties
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Magnetic and capacitive couplings influence on power and energy measurement in double circuit high voltage overhead transmission line
PublicationThe paper discusses influence of magnetic and capacitive couplings on power and energy measurement in case of double circuit high voltage overhead transmission line. There are presented and discussed various factors influencing the power flow among the line‟s circuits. Mathematical model based calculations results are compared to the real transmission line measurements.
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Magnetic and infrared thermography methods in detection of antipersonnel landmines
PublicationIn this paper the two alternative methods of antipersonnel landmine detection are shown: the magnetic method and the active infrared thermography. The experimental results of the detection of selected, plastic mines using both methods are also presented.
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Magnetic field effects in dye-sensitized solar cells controlled by different cell architecture
PublicationThe charge recombination and exciton dissociation are generally recognized as the basic electronic processes limiting the efficiency of photovoltaic devices. In this work, we propose a detailed mechanism of photocurrent generation in dye-sensitized solar cells (DSSCs) examined by magnetic field effect (MFE) technique. Here we demonstrate that the magnitude of the MFE on photocurrent in DSSCs can be controlled by the radius and...
Year 2010
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Macromodels for efficient FEM simulations of waveguides and resonators
PublicationThis paper introduces a novel technique for enhancing the efficiency of the finite element method (FEM) by incorporating special modules, called macromodels, into the standard eigenvalue formulation. The number of unknowns in the separated macromodel subdomain can be significantly reduced by orthogonal projection, using the efficient nodal order reduction algorithm. The idea of macromodels implementation is demonstrated on a simple...
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Macroscopic biaxiality and electric-field–induced rotation of the minor director in the nematic phase of a bent-core liquid crystal
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Magazynowanie energii cieplnej w gaczu parafinowym. Cz.1
PublicationPrzedsatwiono sposoby magazynowania energii z położeniem nacisku na energię cieplną. Scharakteryzowano materiały do magazynowania energii cieplnej i przedstawiono kryteria ich doboru. Następnie skupiono się na gaczu parafinowym, jednym z produktów w przemyśle rafineryjnym. Przeprowadzono badania fizykochemiczne gaczu lekkiego z zawartością 4% oleju, który zastosowano do magazynowania energii cieplnej z kolektora słonecznego. Przedstawiono...
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Magazynowanie energii cieplnej w gaczu parafinowym. Cz.2
PublicationPrzedstawiono wyniki badań eksploatacyjnych zasobnika ciepła z gaczem parafinowym. Źródłem ciepła był kolektor słoneczny pracujący w warunkach rzeczywistych oraz wytwornica ciepła modelująca jego pracę.
Year 2015
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Macrophyta as a vector of contemporary and historical mercury from the marine environment to the trophic web
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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...
Year 2003
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Magnetic field effects on emission and current in Alq3 - based electroluminescent devices.
PublicationW pracy zaobserwowano stromy wzrost natężenia elektroluminescencji w polach magnetycznych nie przekraczających 300mT. Efekt ten wywołany jest magnetyczno polową redukcją stopnia zmieszania singletowych i trypletowych par elektron dziura, wymuszonego przez nadsubtelne oddziaływanie spinów elektronowych z ich otoczeniem jądrowym.
Year 2014
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Magnetic Field Generated by Short Circuit Current in the 110 kV Power System
PublicationElectric fields within tissues induced by magnetic fields including transients or short-term peaks should not be time averaged and be regarded as instantaneous values as established in the ICNIRP (International Commission on Non - Ionizing Radiation Protection) guidelines. Measurements of power lines magnetic fields with regard to human beings exposure are carried out typically with maximum current load at current balance condition...