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Fading Modelling in Dynamic Off-Body Channels
PublicationThis paper presents an off-body fading channel model for Body Area Networks. The proposed model, based on both simulations and measurements at 2.45 GHz in a realistic indoor environment, consists of three components: mean path loss, body shadowing, and multipath fading. The first is modelled as a log function of distance, the path loss exponent being in between 0.4 and 1.6. A statistical perspective is taken for the other two components,...
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Analysis of resistive and inductive heating of railway turnouts
PublicationElektryczne ogrzewanie rozjazdów kolejowych jest istotnym problemem technicznym i ekonomicznym. Z tych względów potrzebne są badania w celu optymalizacji systemu ogrzewania rozjazdów kolejowych. W artykule przedstawiono analizę porównawczą strat energii podczas ogrzewania rozjazdów kolejowych z wykorzystaniem dwóch różnych metod. Analiza ogrzewania rozjazdów przeprowadzono w programie ANSYS.(Analiza oporowego i indukcyjnego nagrzewania...
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Respiratory signal of bathing person - preliminary study
PublicationThe scope of this paper is analysis of applicability of modern biomedical acquisition system installed in bathtub towards reception of respiratory signals of bathing person. An analysis of the possibility of such measurement is shown as well as preliminary results.
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Decision making process using deep learning
PublicationEndüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...
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Design principles for creating digital transparency in government
PublicationUnder pressure to fight corruption, hold public officials accountable, and build trust with citizens, many governments pursue the quest for greater transparency. They publish data about their internal operations, externalize decision-making processes, establish digital inquiry lines to public officials, and employ other forms of transparency using digital means. Despite the presence of many transparency-enhancing digital tools,...
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Examination of the epoxy coating system's resistance to Corrobill
PublicationThe tests of the influence of the surface cleaning agent on the epoxy coating were carried out. Electrochemical and corrosion tests were carried out. The effect of the preparation on the adhesion and hardness of the tested coating was tested.
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Magnetoacoustic heating in a quasi-isentropic magnetic gas
PublicationThe nonlinear heating of a plasma which associates with the transfer of energy of magnetoacoustic waves into that of the entropy mode, is analytically studied. A plasma is uniform and motionless at equilibrium. Perturbations in a plasma are described by a system of ideal magnetohydrodynamic equations. The equilibrium straight magnetic strength and the wave vector form a constant angle which varies from 0 to π/2. There exist four...
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Creating new voices using normalizing flows
PublicationCreating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities. Firstly, we create an approach for TTS...
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Improvements to the STEAM-based teaching of architectural drawing
PublicationThe author of this article presents a systemic approach to improving the teaching of architectural drawing courses for engineers in the 21st Century. In this era of rapid development of digital technologies, the traditional teaching structure should be redefined to a purpose-oriented dynamic model. The existing, generally accepted teaching models have already proved successfully based on the practice-oriented STEAM programme, which...
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Digital technologies and women's empowerment – casting the bridges
PublicationThis work briefly discusses the nexuses between digital technology development and adoption across societies, and its potential impact on overall welfare through women’s economic empowerment. In the first section it sets out the context and background. Next, Section 2 demonstrates the state of access to and the use of digital technologies across the world. Section 3 intends to trace the causal links and channels of digital technologies'...
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TECHNOLOGY OF CREATING AND USAGE OF PROECOLOGICAL BLOCK EMPTYSEED
PublicationNowadays, finding natural substitutes for mass-produced materials is one of the main tasks faced by scientists and designers. There is an increasing emphasis on the theme of ecology and the need for sustainability. Variants and methods are sought which will create environmentally friendly materials in a fast, relatively inexpensive and ecological way. The aim of this paper is to present different proposals of natural building materials...
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Transverse surface waves on a cylindrical surface with coating
PublicationWe discuss the propagation of transverse surface waves that are so-called whispering-gallery waves along a surface of an elastic cylinder with coating. The coating is modelled in the framework of linearized Gurtin–Murdoch surface elasticity. Other interpretations of the surface shear modulus are given and relations to so-called stiff interface and stiff skin model are discussed. The dispersion relations are obtained and analyzed.
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Angels drawing a picture JAPAN | INTERNATIONAL EXHIBITION
PublicationPolskie dziedzictwo reprezentowane w pracach młodych uczestników z Polski dzięki powołaniu RWYC Poland i aktywnej działalności na polu edukacji powszechnej. Konkursy realizowane były jesienią 2023 roku w ramach międzynarodowego projektu pod auspicjami UNESCO – Reconnecting WIth Your Culture POLAND. W Japonii odbyły się 4 wystawy z udziałem prac uczestników z całego świata, w tym wybranych przez RWYC Poland. Lokalizacje wystaw...
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Artificial Neural Network (ANN)-Based Voltage Stability Prediction of Test Microgrid Grid
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Prediction of Peptide Retention at Different HPLC Conditions from Multiple Linear Regression Models
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An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
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Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
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Prediction of corrosion fatigue crack propagation life for welded joints under cathodic potentials
PublicationPrzy ochronie katodowej poniżej potencjału optymalnego obserwuje się przyspieszenie propagacji pęknięcia korozyjno-zmęczeniowego w porównaniu do konstrukcji nie chronionej. Zaproponowano własną formułę empiryczną na wpływ potencjału ochronnego na prędkość propagacji pęknięcia oraz własny wzór na [delta]K w złączu pachwinowym. Wyprowadzono wzór na krzywą ''S-Np'' (naprężenie - długość okresu propagacji pęknięcia). Zaprezentowana...
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Prediction of cutting forces during micro end milling considering chip thickness accumulation
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Is the Identification of SNP-miRNA Interactions Supporting the Prediction of Human Lymphocyte Transcriptional Radiation Responses?
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Prediction of Early Childhood Caries Based on Single Nucleotide Polymorphisms Using Neural Networks
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Prediction of the Segmental Pelvic Ring Fractures Under Impact Loadings During Car Crash
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A prediction of the fault-induced instability of circuit under test as a new approach in categorisation of faults.
PublicationW artykule przedstawiono nowy sposób kategoryzacji uszkodzeń w analogowych układach elektronicznych. Zaproponowano kryterium oparte na predykcji niestabilności indukowanej przez uszkodzenie w testowanym układzie. Przyjeto, że granicą pomiędzy uszkodzeniem miękkim i katastroficznym jest najmniejsza odchyłka parametru elementu, która sprowadza układ testowany do granicy stabilności. Wzrost wartości odchyłki poza wyznaczony margines...
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Wind resource assessment and energy yield prediction for the small wind turbine on the Szubieniczne Hill
PublicationThe goal of this study is to preliminary assess the wind resources on the Szubieniczne Hill in order to predict the annual energy production for planned small wind turbine. The analyzed site is located close to the Gdańsk University of Technology campus, in complex urban environment additionally surrendered by forested hills. The assessment is based on Computational Fluid Dynamics simulations which allow to evaluate the wind energy potential...
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In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies
PublicationDespite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding...
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Prediction of the fatigue lifetime of PUR structural elements using a combined experimental-numerical approach
PublicationThis paper presents a method for estimating the fatigue life of polyurethane elastomeric components. A rubber replacement - polyurethane of hardness 80ShA commonly used in vibration damping systems, for example, in motor vehicle suspensions, was used for the study. A metal-rubber bushing component was selected for analysis, and numerical analysis was carried out along with a fatigue model proposal based on a modification of the...
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Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries
PublicationCatheter-induced dissections (CID) of coronary arteries and/or the aorta are among the most dangerous complications of percutaneous coronary procedures, yet the data on their risk factors are anecdotal. Logistic regression and five more advanced machine learning techniques were applied to determine the most significant predictors of dissection. Model performance comparison and feature importance ranking were evaluated. We identified...
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Vessel Energy Requirement Prediction from Acceleration Stage Towing Tests on Scale Models
PublicationOne of the most crucial tasks for naval architects is computing the energy required to meet the ship’s operational needs. When predicting a ship’s energy requirements, a series of hull resistance tests on a scale model vessel is carried out in constant speed stages, while the acceleration stage measurements are ignored. Another important factor in seakeeping analysis is the ship’s hydrodynamic added mass. The second law of dynamics...
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An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
PublicationIn this paper, an intelligent approach to the Short-Term Wind Power Prediction (STWPP) problem is considered, with the use of various types of Deep Neural Networks (DNNs). The impact of the prediction time horizon length on accuracy, and the influence of temperature on prediction effectiveness have been analyzed. Three types of DNNs have been implemented and tested, including: CNN (Convolutional Neural Networks), GRU (Gated Recurrent...
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Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines
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Robust Parameter Estimation and Output Prediction for Reactive Carrier-Load Nonlinear Dynamic Networks
PublicationIn this paper an extension of on-line model simplification technique for a class of networked systems, namely reactive carrier-load nonlinear dynamic networked system (RCLNDNS), kept within point-parametric model (PPM) framework is addressed. The PPM is utilised to acquire a piece wise constant time-varying parameter linear structure for the RCLNDNS suitable for the on-line one step ahead prediction that may be applied to monitoring...
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Robust output prediction of differential – algebraic systems – application to drinking water distribution system
PublicationThe paper presents the recursive robust output variable prediction algorithm, applicable for systems described in the form of nonlinear algebraic-differential equations. The algorithm bases on the uncertainty interval description, the system model, and the measurements. To improve the algorithm efficiency, nonlinear system models are linearised along the nominal trajectory. The effectiveness of the algorithm is demonstrated on...
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Prediction of flow boiling heat transfer coefficient for carbon dioxide in minichannels and conventional channels
PublicationIn the paper are presented the results of calculations using authors own model to predict heat transfer coefficient during flow boiling for carbon dioxide. The experimental data from various researches were scrutinised conducted for a full range of quality variation and wide range of mass velocity. The aim of the study was to test the sensitivity of the in-house model. The work shows the importance of taking into account surface...
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AN INNOVATIVE APPROACH TO PREDICTION ENERGETIC EFFECTS OF WOOD CUTTING PROCESS WITH CIRCULAR-SAW BLADES
PublicationIn the classical approach, energetic effects (cutting forces and cutting power) of wood sawing process are generally calculated on the basis of the specific cutting resistance, which is in the case of wood cutting the function of more or less important factors. The aim of the paper is to present a new calculating model using the application of modern fracture mechanics and to compare cutting parameters of native beech, Bendywood...
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Prediction of flow boiling heat transfer coefficient for carbon dioxide in minichannels and conventional channels
PublicationIn the paper presented are the results of calculations using authors own model to predict heat transfer coefficient during flow boiling of carbon dioxide. The experimental data from various resea rches were collected. Calculations were conducted for a full range of quality variation and a wide range of mass velocity. The aim of the study was to test the sensitivity of the in-house model. The results show the importance of taking into...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublicationNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...
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Prediction of the Mechanical Properties of P91 Steel by Means of Magneto-acoustic Emission and Acoustic Birefringence
PublicationThe paper describes an application of nondestructive volumetric magnetic and ultrasonic techniques for evaluation of the selected mechanical parameter variations of P91 steel having direct influence on its suitability for further use in critical components used in power plants. Two different types of deformation processes were carried out. First, a series of the P91 steel specimens was subjected to creep and second, one to plastic...
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Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction
PublicationShip routing process taking into account weather conditions is a constrained multi-objective optimization problem and it should consider various optimization criteria and constraints. Formulation of a stability-related, dynamic route optimization constraint is presented in this paper. One of the key objectives of a cross ocean sailing is finding a compromise between ship safety and economics of operation. This compromise should...
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New, fast and cheap prediction tests for BRCA1 gene mutations identification in clinical samples.
PublicationDespite significant progress in cancer therapy, cancer is still the second cause of mortality in the world. The necessity to make quick therapeutic decisions forces the development of procedures allowing to obtain a reliable result in a quick and unambiguous manner. Currently, detecting predictive mutations, including BRCA1, is the basis for effectively treating advanced breast cancer. Here, we present new insight on gene mutation...
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Work safety in production processes located in Poland
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The influence of nanomaterials on pyocyanin production by Pseudomonas aeruginosa
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The paradigm change of flexible production systems desing
PublicationNiniejszy artykuł pokazuje zmiany paradygmatu projektowania i eksploatacji elastycznych systemów produkcyjnych, na przykładzie różnych modeli systemów nowej generacji NGMS (Next Generation Manufacturing System). Dokonano analizy porównawczej wybranych rozwiązań w przedmiotowym obszarze, formułując prognozy rozwojowe w oparciu o zaproponowane megatrendy rozwojowe: miniaturyzacji, sieciowości (networking), mobilności, i wirtualizacji....
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Methodology of assessing the production capacity of selected shipyards
PublicationW ramach projektu EUREKAΣ!2772 powstały projekty wstępne czterech statków dowozowych (Short Shiping). Dla jednego z nich należało zdefiniować optymalne warunki wykonania, wskazać wstępnie stocznie spełniające kryterium minimum zdolności wykonawczych. Do tego celu opracowano metodykę wskaźnikową, bazującą na wskaźnikach technologicznych i konstrukcyjnych. W oparciu o nie przeprowadzono analizę możliwości produkcyjnych wybranych...
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Vibration surveillance of dynamic systems and production processes
PublicationPraca dotyczy poszukiwania sposobów minimalizacji poziomu drgań podczas pracy maszyn i urządzeń wykonujących określone procesy robocze. Do modelowania dyskretnego wykorzystano metodę elementów skończonych. Rozważano dynamikę niestacjonarnego dyskretnego układu sterowanego, którego zachowanie opisano we współrzędnych uogólnionych, jak również - układu hybrydowego. Ten ostatni uzyskano dzięki wyodrębnieniu z całości podukładu stacjonarnego,...
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Production and characterization of MWBNNT and B-doped SWCNT
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Concentration of saline wastewater from the production of heparin
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The influence of process parameters on photocatalytic hydrogen production
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Überwachtes Lernen zur Prädiktion von Tumorwachstum
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Production of gaseous matrix-free reference materials
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Prospects for the Production, Research and Utilization of Reference Materials
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