Filtry
wszystkich: 5142
wybranych: 3805
-
Katalog
- Publikacje 3831 wyników po odfiltrowaniu
- Czasopisma 77 wyników po odfiltrowaniu
- Konferencje 21 wyników po odfiltrowaniu
- Wydawnictwa 4 wyników po odfiltrowaniu
- Osoby 262 wyników po odfiltrowaniu
- Wynalazki 23 wyników po odfiltrowaniu
- Projekty 55 wyników po odfiltrowaniu
- Laboratoria 4 wyników po odfiltrowaniu
- Zespoły Badawcze 27 wyników po odfiltrowaniu
- Kursy Online 721 wyników po odfiltrowaniu
- Wydarzenia 1 wyników po odfiltrowaniu
- Dane Badawcze 116 wyników po odfiltrowaniu
Filtry wybranego katalogu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: mac
-
Comparative study of a bottoming SRC and ORC for Joule–Brayton cycle cooling modular HTR exergy losses, fluid-flow machinery main dimensions, and partial loads
PublikacjaEnergy conversion efficiency increase in power plants with high-temperature gas-cooled reactors via implementation of the bottoming cycle was investigated under nominal and minimal thermal load of a high-temperature reactor (HTR). Heat transfer surface area and turbine outlet volumetric flow rate in bottoming cycles was also investigated. Water and two low-boiling point working fluids (ammonia and ethanol) were analyzed. Analyzed...
-
Properties of W/O emulsions stabilized with acylglycerol emulsifiers modified with zinc carboxylates.
PublikacjaZbadano właściwości modelowych emulsji W/O, stabilizowanych emulgatorami acyloglicerolowymi, modyfikowanymi karboksylanami cynku. Przedstawiono wyniki mikroskopowej, konduktometrycznej i kalorymetrycznej analizy wpływu składu i stężenia emulgatora oraz zawartości fazy wodnej na wielkość kropel fazy rozproszonej emulsji i stabilność układu dyspersyjnego.
-
Właściwości układów emulsyjnych stabilizowanych mieszaninami monoacylogliceroli i oksyetylenowanych estrów metylowych kwasów tłuszczowych
PublikacjaPrzedstawiono możliwości otrzymywania niejonowych emulgatorów o różnorodnych właściwościach hydrofilowych, z wykorzystaniem monoacylogliceroli i oksyetylenowanych estrów metylowych kwasów tłuszczowych. Określono efektywność preparowanych emulgatorów sporządzając modelowe emulsje i badając ich właściwości oraz stabilność. Otrzymane emulgatory można stosować do otrzymywania emulsji O/W i W/O.
-
Functional Thin Films Resulting from Parylene-Vinyl Copolymerization
PublikacjaW publikacji zawarto wyniki obliczeń kwantowych i kinetycznych dotyczących struktury 1-szo rzędowej kopolimerów uzyskiwanych w czasie CVD parylenu na cieczach.
-
Functional Thin Films Resulting from Parylene–Vinyl Copolymerization
Publikacja -
Lighting requirements for pedestrian crossings - positive contrast
PublikacjaFor many years now in Poland there has been a large number of road accidents at pedestrian crossings during night periods [5, 11]. One of the technical solutions that can improve this condition is the use of proper lighting for pedestrian crossings. The designated pedestrian crossing should be visible in different weather conditions and at different times of the day. In case of night vision restrictions use artificial lighting...
-
Wybór działań i urządzeń zmniejszających zagrożenie pieszych
PublikacjaProcedura wyboru urządzeń i działań. Ocena ryzyka i oszacowanie potencjału redukcji ryzyka wypadków z pieszymi. Wstępny dobór interwencji i działań redukujących zagrożenie pieszych. Wybór działań i urządzeń redukujących zagrożenie pieszych. Wdrażanie i monitorowanie wybranych działań redukujących ryzyko wypadków z pieszymi.
-
Zagrożenia dla uczestników ruchu drogowego stwarzane przez reklamy widziane z drogi
PublikacjaNa podstawie przeprowadzonych audytów i ocen planowanych reklam w pobliżu miejsc krzyżowania się dużych potoków pojazdów zidentyfikowano problemy, które mają rozwiązywać zarządcy dróg. Scharakteryzowano podstawowe cechy fizyczne i psychomotoryczne oka ludzkiego i wskazano występujące reakcje bezwarunkowe pod wpływem ekspozycji otoczenia. Badania treści i parametrów świetlnych reklam dynamicznych LED w Gdańsku wskazują, że spoty...
-
Widoczność na przejściach dla pieszych
PublikacjaPrzyczyną powstawania większości wypadków drogowych z udziałem pieszych są w Polsce błędy popełniane przez użytkowników dróg, a także błędy planistyczne i projektowe oraz bardzo często źle utrzymana infrastruktura drogowa. Jednym z istotnych czynników wpływających na wypadki z pieszymi przekraczającymi jezdnię są ograniczenia obszarów dobrej widoczności pieszych i pojazdów na przejściach dla pieszych. W Polsce ten problem jest...
-
Metoda wyznaczania obszaru dobrej widoczności na przejściach dla pieszych w Polsce
PublikacjaJednym z istotnych czynników wpływających na wypadki z pieszymi przekraczającymi jezdnię są ograniczenia obszarów dobrej widoczności pieszych i pojazdów na przejściach dla pieszych. W Polsce ten problem jest niedoceniany. W niniejszym artykule przedstawiono propozycję metody wyznaczania obszaru dobrej widoczności na przejściach dla pieszych w Polsce. Metodę tą opracowano, korzystając z doświadczeń zagranicznych i badań własnych....
-
Projekt wytycznych projektowania infrastruktury liniowej dla pieszych
PublikacjaMinisterstwo Infrastruktury podjęło prace dotyczące zmiany warunków technicznych, jakim powinny odpowiadać drogi, i standardów projektowania dróg. W ramach zbioru standardów opracowano także nowe „Wytyczne do projektowania infrastruktury dla pieszych”. Drugą część tego projektu stanowią „Wytyczne projektowania infrastruktury liniowej dla pieszych”. W artykule przedstawiono identyfikację problemów projektowania infrastruktury dla...
-
ANALYSIS OF THE RESULTS OF THE AUDIT OF LIGHTING PARAMETERS AT PEDESTRIAN CROSSINGS IN WARSAW
PublikacjaThe night time, based on many world studies, generates an increased risk of serious accidents (with fatalities and serious injuries). This is especially true for accidents with pedestrians. Pedestrian crossings are very sensitive to the influence of the time of day in terms of pedestrian safety, elements of road infrastructure. This is visible on the example of Poland, where numerous accidents at crosswalks are recorded, characterized...
-
Evaluation of the Impact of Different Types of Uncoupling on the Processing Capacity of Hump Yards
PublikacjaThe paper considers the issue of evaluating the impact of different types of uncoupling to increase the processing capacity of hump yards to ensure high technical-economic indicators in the conditions of limited capital funds. Moreover it describes the mathematical formulation of the sorting slide. For the mathematical formulation, the sorting slide is taken as a surface that is uniquely projected onto a horizontal plane. Based...
-
Central carbon metabolism influences fidelity of DNA replication in Escherichia coli
Publikacja -
Evaluation of Selected Properties of Sodium Alginate-Based Hydrogel Material—Mechanical Strength, μDIC Analysis and Degradation
Publikacja -
A Parallel MPI I/O Solution Supported by Byte-addressable Non-volatile RAM Distributed Cache
PublikacjaWhile many scientific, large-scale applications are data-intensive, fast and efficient I/O operations have become of key importance for HPC environments. We propose an MPI I/O extension based on in-system distributed cache with data located in Non-volatile Random Access Memory (NVRAM) available in each cluster node. The presented architecture makes effective use of NVRAM properties such as persistence and byte-level access behind...
-
Optical low-coherence interferometry for selected technical applications
PublikacjaW artykule przedstawiono teoretyczne podstawy optycznej interferometrii niskokoherentnej i przedyskutowano jej unikatowe właściwości. Opisano w nim opracowany przez autorów system OCT przeznaczony do badań strukturalnych materiałów technicznych. Badania te obejmują także zmiany stanu polaryzacji promieniowania rozproszonego w badanym obiekcie. W artykule zawarto wyniki badań wybranych materiałów silnie rozpraszających promieniowanie...
-
Checkpointing of Parallel MPI Applications using MPI One-sided API with Support for Byte-addressable Non-volatile RAM
PublikacjaThe increasing size of computational clusters results in an increasing probability of failures, which in turn requires application checkpointing in order to survive those failures. Traditional checkpointing requires data to be copied from application memory into persistent storage medium, which increases application execution time as it is usually done in a separate step. In this paper we propose to use emerging byte-addressable...
-
Thermostability and photophysical properties of mixed-ligand carboxylate/benzimidazole Zn(II)-coordination polymers
PublikacjaThe reaction between Zn(NO3)2*6H2O or Zn(CH3COO)2*2H2O and isophthalic acid (1,3-H2bdc) in the presence of benzimidazole (Hbzim) in dimethylformamide (DMF)/ethanol (EtOH)/H2O solvent mixture at room temperature yielded two structurally different coordination polymers: [Zn2(1,3-bdc)2(Hbzim)2] (1) and [Zn2(1,3-bdc)(bzim)2] (2). (1) is a 2D-layered framework with a molecule of benzimidazole coordinated to the Zn center, whereas (2)...
-
Specialization Integrated Strategy of Innovations: Effective Model for Emerging Regional Economy Development?
Publikacja -
USEFULNESS OF SEMI-MARKOV PROCESSES AS MODELS OF THE OPERATION PROCESSES FOR MARINE MAIN ENGINES AND OTHER MACHINES OF SHIP POWER PLANTS
PublikacjaThe paper describes the properties of semi-Markov processes and the opportunities and benefits from their use as models of the operation processes for marine combustion engines and other machines of ship power plants. The emphasis is put on the importance of the theory of semi-Markov processes for development of the theory of marine combustion engines and other machines of ship power plants, as well as for development of the operational...
-
Selected Aspects of Biofuels Market and the Electromobility Development in Poland: Current Trends and Forecasting Changes
PublikacjaThis work presents basic information associated with markets of selected alternative fuels used in transport, such as methyl esters, conventional bioethanol and lignocellulosic bioethanol, and the market of electrical vehicles. Legal conditions, which stimulate development and regulate the mode of functioning of the liquid biofuel market until 2020 are discussed, based on provisions of EU directives. Data on biofuel production...
-
Estrogen Receptors in Cell Membranes: Regulation and Signaling
Publikacja -
Machine learning techniques combined with dose profiles indicate radiation response biomarkers
Publikacja -
The methodology for determining of the value of cutting power for cross cutting on optimizing sawing machine
PublikacjaIn the article the methodology of forecasting the energy effects of the cross-cutting process using the classical method, which takes into account the specific cutting resistance, is presented. The values of cutting power for the cross-cutting process of two types of wood (softwood and hardwood) were forecasted for the optimizing sawing machine with using presented methodology. The cross-cutting process with high values of feed...
-
Dynamic variables limitation for backstepping control of induction machine and voltage source converter
PublikacjaDynamic variables limitation for backstepping control of induction machine and voltage source converter The paper presents the method of control of an induction squirrel-cage machine supplied by a voltage source converter. The presented idea is based on an innovative method of the voltage source converter control, consisting in direct joining of the motor control system with the voltage source rectifier control system. The combined...
-
RSS-Based DoA Estimation for ESPAR Antennas Using Support Vector Machine
PublikacjaIn this letter, it is shown how direction-of-arrival (DoA) estimation for electronically steerable parasitic array radiator (ESPAR) antennas, which are designed to be integrated within wireless sensor network nodes, can be improved by applying support vector classification approach to received signal strength (RSS) values recorded at an antenna's output port. The proposed method relies on ESPAR antenna's radiation patterns measured...
-
Application of sliding switching functions in backstepping based speed observer of induction machine
PublikacjaThe paper presents an analysis of the speed observer which is based on the backstepping and sliding mode approach. The speed observer structure is based on the extended mathematical model of an induction machine. The observer structure is based on the measured phase stator currents and transformed to ( αβ ) coordinate system. The stator voltage vector components are treated as known values. Additionally, such an observer structure...
-
Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches
Publikacja -
Machine Learning and data mining tools applied for databases of low number of records
Publikacja -
From the Dynamic Lattice Liquid Algorithm to the Dedicated Parallel Computer – mDLL Machine
Publikacja -
Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublikacjaHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
-
Influence of frame sawing machine´s kinematics on saw blade tooth wear.
PublikacjaW pracy przedstawiono wpływ kinematyki pilarki ramowej na zużycie ostrzy piłtrakowych.
-
Analytical model of torsional vibrations of typical sawing machine main drive system
PublikacjaPrzedstawiono model fizyczny i matematyczny drgań skrętnych napędu głównego typowej pilarki tarczowej. Model tworzą elementy sztywne SES połączone między sobą za pośrednictwem elementów sprężysto - tłumiących EST w układzie szeregowym. W modelu matematycznym uwzględniono: właściwości dynamiczne silnika napędowego, wymiary piły tarczowej, cechy materiału obrabianego (wymiary, rodzaj drewna, wilgotność drewna) oraz właściwości dynamiczne...
-
The application of a photopolymer material for the manufacture of machine elements using rapid prototyping techniques
PublikacjaThe paper discusses the application of polymer resin for 3D printing. The first section focuses on rapid prototyping technique and properties of the photopolymer, used as input material in the manufacture of machine components. Second part of the article was devoted to exemplary 3-D-printed elements for incorporation in machines. The article also contains detailed description of problems encountered in implementation of the selected...
-
Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning
PublikacjaEvery year in many countries, there are fatal unintentional drownings in different water reservoirs like swimming pools, lakes, seas, or oceans. The existing threats of this type require creating a method that could automatically supervise such places to increase the safety of bathers. This work aimed to create methods and prototype solutions for detecting people bathing in water reservoirs using a multimodal imaging system and...
-
Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
PublikacjaTo this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...
-
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublikacjaBiochar 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,...
-
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
-
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...
-
Improving operating efficiency of a gas turboset via cooperation with an absorption refrigerating machine
PublikacjaThe analysis of increase of ambient air temperature entering the compressor on reduction in power output from the turbine and increase fuel use was conduced. For medium size gas turbine operates in winter and summer conditions elementary power and economical values was calculated. Conditions of the determination of turbine inlet air cooling solution (using thermal storage for reduce equipment size) are presented
-
Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
Publikacja -
<title>Management system of ELHEP cluster machine for FEL photonics design</title>
Publikacja -
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublikacjaComplexity 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...
-
Machine-aided detection of SARS-CoV-2 from complete blood count
PublikacjaThe 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...
-
Slowly-closing valve behaviour during steam machine accelerated start-up
PublikacjaThe paper discusses the state of stress in a slowly-closing valve during accelerated start-up of a steam turbine. The valve is one of the first components affected by high temperature gradients and is a key element on which the power, efficiency and safety of the steam system depend. The authors calibrated the valve model based on experimental data and then performed extended Thermal-FSI analyses relative to experiment. The issue...
-
Sensorless control of five-phase induction machine supplied by the VSI with output filter
PublikacjaIn this paper, a novel sensorless control structure based on multi-scalar variables is proposed. The tatic feedback control law is obtained by using the multi-scalar variables transformation, where the multi-scalar variables approach allows a full linearization of the nonlinear system. The control system could be described as “optimized” because of the minimized number of controllers. Furthermore, control system is divided into...
-
Sensorless Multiscalar Control of Five-Phase Induction Machine with Inverter Output Filter
PublikacjaThe paper presents a complete solution for speed sensorless control system for five-phase induction motor with voltage inverter, LC filter and nonlinear control of combined fundamental and third harmonic flux distribution. The control principle, also known as multiscalar control, nonlinear control or natural variables control, is based on a use of properly selected scalar variables in control feedback to linearize controlled system....
-
Application of Support Vector Machine for Determination of Impact of Traffic-Induced Vibrations on Buildings
PublikacjaThe aim of the article is to present an algorithm of Support Vector Machine created to forecast the impact of traffic-induced vibrations on residential buildings. The method is designed to classify the object into one of two classes. The classification into the first class means that there is no impact of vibrations on the building, while classification to the second class indicates the possible influence and suggests the execution...
-
Experimental tuning of AuAg nanoalloy plasmon resonances assisted by machine learning method
PublikacjaPlasmonic nanostructures based on AuAg nanoalloys were fabricated by thermal annealing of metallic films in an argon atmosphere. The nanoalloys were chosen because they can extend the wavelength range in which plasmon resonance occurs and thus allow the design of plasmonic platforms with the desired parameters. The influence of initial fabrication parameters and experimental conditions on the formation of nanostructures was investigated....