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Search results for: MARKDOWN, BOOKDOWN, R-EXAMS, TUTORIALS, MOODLE, E- LEARNING, WEBEXERCISES, GITHUB, DATA ANALYSIS.
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Inference Mechanisms for Knowledge Management System in E-health Environment
PublicationW artykule zaprezentowano badania i ich wyniki osiągnięte w trakcie prac na systemem zarządzania wiedzą dla systemu typu e-health PIPS (ang. Personalised Information Platform for Life and Health Services)Opisano warstwę semantyczną systemu zarządzania wiedzą, a w szczególności skoncentrowano się na silniku wnioskującym.Poddano dyskusji następujące zagadnienia: analizę dostępnych narzędzi wnioskujący i ich zgodności ze standardem...
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Kształcenie kompetencji społecznych inżynierów z wykorzystaniem e-technologii
PublicationKompetencje społeczne to jedne z najbardziej poszukiwanych umiejętności w połączeniu z wiedzą techniczną pośród pracodawców. Na uczelniach technicznych przedmioty humanistyczne częściej traktowane są marginalnie, niż jako szansa na współpracę ze studentami na zupełnie innej płaszczyźnie. Artykuł prezentuje doświadczenia autorki w kreowaniu kompetencji społecznych pośród inżynierów studiujących na II...
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Radar data fusion in the STRADAR system
PublicationThe main task of the Polish Border Guard is protection of the country’s border which requires utilization of multimedia surveillance systems automatically gathering, processing and sharing various data. The paper presents such a system developed for the Maritime Division of the Polish Border Guard within the STRADAR project and the problem of fusion of radar data in this system. The system, apart from providing communication means,...
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Influence of wall temperature on heat transfer coefficient during R 22 boiling in microfin tube
PublicationPrzedstawiono wyniki badań współczynnika przejmowania ciepła i spadku ciśnienia podczas wrzenia czynnika R 22 w rurze nisko żebrowanej. Opisano stanowisko i procedurę badawczą. Zaobserwowano spadek współczynnika przejmowania. Opisano stanowisko i procedurę badawczą. Zaobserwowano spadek współczynnika przejmowania ciepła wraz ze wzrostem temperatury ścianki rury.
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The new tool of inverse analysis applied in geotechnics.
PublicationW pracy przedstawiono przykład prostego zastosowania analizy wstecznej do tzw. Współoddziaływującego Układu Projektowania (Systeme Interactif de Conception -SIC). Zastosowanie analizy wstecznej w tym układzie oparte jest na procedurze zaproponowanej przez Gens´a i innych. W omawianej pracy ograniczono się do określenia liniowej odkształcalności wartości modułowej ośrodka ciągłego. Wykorzystano algorytm minimalizujący funkcje...
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Evaluation of flavour profiles in e-cigarette refill solutions using gas chromatography–tandem mass spectrometry
PublicationMany flavour compounds that are present in e-liquids for e-cigarettes are responsible for specific tastes and smoking sensations for users. Data concerning content and specific types of flavours is often limited and unknown to users. The aim of the research was to define and compare flavour profiles of e-liquids with the same group taste from different manufacturers. Gas chromatography coupled with tandem mass spectrometry (GC–MS/MS)...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Experimental tuning of AuAg nanoalloy plasmon resonances assisted by machine learning method
PublicationPlasmonic 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....
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublicationCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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E-dyplomy: uwarunkowania administracyjne i funkcjonalne ich wprowadzenia na polskich uczelniach
PublicationPandemia COVID-19 wymusiła na polskim systemie szkolnictwa wyższego szereg zmian, z których główne dotyczą zmian w zakresie organizacji pracy, cyfryzacji procesów obsługi toku studiów. Przepisy prawa stanowią już o e-teczce, mamy rozporządzenia dotyczące jej prowadzenia, niemniej niewiele uczelni, o ile w ogóle, prowadzi na chwilę obecną akta osobowe studentów w postaci elektronicznej. Jednym z elementów składowych e-teczki jest...
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Time Synchronization between the eNBs in E-UTRAN under the Asymmetric IP Network
PublicationIn this paper, we present a method for a time synchronization between the two eNodeBs (eNBs) in E-UTRAN (Evolved Universal Terrestrial Radio Access) network. The...
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublicationAccurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...
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Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm
PublicationIn an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently,...
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Big Data in Regenerative Urban Design
PublicationWhy the use of Big Data in regenerative planning matters? The aim of this chapter is to study under what conditions Big Data can be integrated into regenerative design and sustainable planning? Authors seek to answer how – when related to the ecosystem and to human activities – Big Data can be used to: • both shape policies that support the development of regenerative human settlements, • support restorative design for practitioners...
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Rigorous numerics for critical orbits in the quadratic family
PublicationWe develop algorithms and techniques to compute rigorous bounds for finite pieces of orbits of the critical points, for intervals of parameter values, in the quadratic family of one-dimensional maps fa(x)=a−x2. We illustrate the effectiveness of our approach by constructing a dynamically defined partition P of the parameter interval Ω=[1.4,2] into almost 4 million subintervals, for each of which we compute to high precision the...
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Modeling lignin extraction with ionic liquids using machine learning approach
PublicationLignin, next to cellulose, is the second most common natural biopolymer on Earth, containing a third of the organic carbon in the biosphere. For many years, lignin was perceived as waste when obtaining cellulose and hemicellulose and used as a biofuel for the production of bioenergy. However, recently, lignin has been considered a renewable raw material for the production of chemicals and materials to replace petrochemical resources....
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Investigations of scattering from arbitrary configuration of elliptical obstacles
PublicationW niniejszym artykule przedstawiono nową metodę analizy rozpraszania fali e-m. na dowolnej konfiguracji metalowych obiektów cylindrycznych. Przedstawiona metoda oparta jest na wykorzystaniu macierzy rozpraszania T opisującej obiekty eliptyczne oraz zastosowaniu metody iteracyjnej do analizy dowolnej konfiguracji obiektów. Otrzymane wyniki numeryczne porównano z wynikami uzyskanymi w komercyjnym symulatorze e-m.
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An Adaptive Network Model for a Double Bias Perspective on Learning from Mistakes within Organizations
PublicationAlthough making mistakes is a crucial part of learning, it is still often being avoided in companies as it is considered as a shameful incident. This goes hand in hand with a mindset of a boss who dominantly believes that mistakes usually have negative consequences and therefore avoids them by only accepting simple tasks. Thus, there is no mechanism to learn from mistakes. Employees working for and being influenced by such a boss...
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2020 r.,
PublicationZestawienie prac doktorskich, habilitacyjnych oraz profesur o tematyce chemii analitycznej i pokrewnej w 2020 r.,
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2019 r.
PublicationZestawiono prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2019 r
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CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins
PublicationThe CHASE-PL (Climate change impact assessment for selected sectors in Poland) Forcing Data–Gridded Daily Precipitation & Temperature Dataset–5 km (CPLFD-GDPT5) consists of 1951–2013 daily minimum and maximum air temperatures and precipitation totals interpolated onto a 5 km grid based on daily meteorological observations from the Institute of Meteorology and Water Management (IMGW-PIB; Polish stations), Deutscher Wetterdienst...
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Artificial neural network prophecy of ion exchange process for Cu (II) eradication from acid mine drainage
PublicationThe removal of heavy metal ions from wastewater was found to be significant when the cation exchange procedure was used effectively. The model of the cation exchange process was built using an artificial neural network (ANN). The acid mine drainage waste’s Cu(II) ion was removed using Indion 730 cation exchange resin. Experimental data from 252 cycles were recorded. In a column study, 252 experimental observations validated the...
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Multibeam Sonar Characterisation of Seafloor in the Context of Visualisation and Dissemination of Marine Data
PublicationThe paper presents the seafloor characterisation method based on multibeam sonar data. it relies on using three types of multibeam seafloor sensing data: 1) the grey-level sonar images (echograms) of seabed, 2) the 3D model of the seabed surface which consists of high resolution bathymetric data, 3) the set of time domain bottom echo envelopes received in the consecutive sonar beams. The classification is performed by utilisation...
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Właściwości poliuretanów z syntetycznym poli(R,S-3-hydroksymaślanem) w segmencie giętkim
PublicationOtrzymano poliuretany (PUR), zwierające polikaprolakton lub politetremetylenoglikol oraz ataktyczny,teleheliczny poli(R,S-3-hydroksymaślan - a-PHB)w segmencie giętkim o potencjalnym zastosowaniu do celów medycznych. Zbadano właściwości termiczne, mechaniczne oraz gęstość próbek. Po wprowadzeniu a-PHB wytrzymałość PUR zmalała, natomiast gęstość i temperatura zeszklenia została podwyższona. Zaobserwowano także spadek krystaliczności...
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2021 r.
PublicationPublikacja zawiera zestawienie prac doktorskich, habilitacji oraz profesur o tematyce chemii analitycznej i pokrewnej w 2021 r.,
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2018 r.
PublicationZestawienie prac doktorskich habilitacji oraz profesur o tematyce chemii analitycznej i pokrewnej w 2018 r. w Polsce.
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The Use of Photographs in the Teaching/Learning of Descriptive Geometry
PublicationThe article presents the concept of enriching the Descriptive Geometry course with photographs and several simplified real-life engineering tasks. The photographic images used for the exercises are tightly linked to engineering structures, the given specialization and the surrounding world. The photo image as a record of central projection of a real space can be useful for presentation and analysis of the properties of perspective....
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Electrophoretic Deposition and Characterization of Chitosan/Eudragit E 100 Coatings on Titanium Substrate
PublicationCurrently, a significant problem is the production of coatings for titanium implants, which will be characterized by mechanical properties comparable to those of a human bone, high corrosion resistance, and low degradation rate in the body fluids. This paper aims to describe the properties of novel chitosan/Eudragit E 100 (chit/EE100) coatings deposited on titanium grade 2 substrate by the electrophoretic technique (EPD). The deposition...
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A Text as a Set of Research Data. A Number of Aspects of Data Acquisition and Creation of Datasets in Neo-Latin Studies
PublicationIn this paper, the authors, who specialise in part in neo-Latin studies and the his-tory of early modern education, share their experiences of collecting sources for Open Research Data sets under the Bridge of Data project. On the basis of inscription texts from St. Mary’s Church in Gdańsk, they created 29 Open Research Data sets. In turn, the text of the lectures of the Gdańsk scholar Michael Christoph Hanow, Praecepta de arte...
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Geier R., Angelmaier V., Gaubner C.-A., Kohoutek J.: Integrale Brücken. Entwurf, Berechnung, Ausführung, Monitoring
PublicationGeier R., Angelmaier V., Gaubner C.-A., Kohoutek J.: Integrale Brücken. Entwurf, Berechnung, Ausführung, Monitoring. Ernst & Sohn, Berlin 2017.
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Enhanced uniform data sampling for constrained data‐driven modeling of antenna input characteristics
PublicationData-driven surrogates are the most popular replacement models utilized in many fields of engineering and science, including design of microwave and antenna structures. The primary practical issue is a curse of dimensionality which limits the number of independent parameters that can be accounted for in the modelling process. Recently, a performance-driven modelling technique has been proposed where the constrained domain of the...
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2015 r.
PublicationZestawienie prac doktorskich, habilitacji oraz profesur o tematyce chemii analitycznej i pokrewnej przeprowadzonych na polskich uczelniach w 2015 r.
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2014 r.
PublicationZestawienie prac doktorskich, habilitacji oraz profesur o tematyce chemii analitycznej i pokrewnej przeprowadzonych na polskich uczelniach w 2014 r.
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Prace doktorskie, habilitacje oraz profesury o tematyce chemii analitycznej i pokrewnej w 2017 r.
PublicationZestawienie prac doktorskich, habilitacji oraz profesur o tematyce chemii analitycznej i pokrewnej przeprowadzonych na polskich uczelniach w 2015 r.
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Speed estimation of a car at impact with a W-beam guardrail using numerical simulations and machine learning
PublicationThis paper aimed at developing a new method of estimating the impact speed of a passenger car at the moment of a crash into a W-beam road safety barrier. The determination of such a speed based on the accident outcomes is demanding, because often there is no access to full accident data. However, accurate determination of the impact speed is one of the key elements in the reconstruction of road accidents. A machine learning algorithm...
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Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
PublicationIn this study, eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were used to model-predict the drying characteristics of banana slices with an indirect solar drier. The relationships between independent variables (temperature, moisture, product type, water flow rate, and mass of product) and dependent variables (energy consumption and size reduction) were established. For energy consumption,...
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublicationPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Fragmentation of Hydrographic Big Data Into Subsets During Reduction Process
PublicationThe article presented problems of fragmentation of hydrographic big data into smaller subsets during reduction process. Data reduction is a processing of reduce the value of the data set, in order to make them easier and more effective for the goals of the analysis. The main aim of authors is to create new reduction method. The article presented the first stage of this method – fragmentation of bathymetric data into subsets. It...
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Proceduralne aspekty stosowania ustawy z dnia 12.06.2003 r. o terminach zapłaty w transakcjach handlowych
PublicationW artykule poruszono proceduralne aspekty stosowania ustawy z dnia 12.06.2003 r. o terminach zapłaty w transakcjach handlowych, która stanowi implementację dyrektywy na 35/2000/WE Parlamentu Europejskiego i Rady z dnia 29.06.2000 r. o znaczeniu opóźnionych płatności w transakcjach handlowych. Istotnym zadaniem zarówno dyrektywy, jak i ustawy jest próba rozwiązania problemu opóźnionych płatności. Nadmiernie długie terminy płatności...
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Current technology trends in Electronic Commerce. Przegląd trendów technologii dla e-Commerce.
PublicationPrzedstawiono przegląd trendów technologii dla e-Commerce. Skupiono się na rozwiązaniach programowanych w dziedzinie wzorców projektowych oraz zastosowania ebXML.
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The supramolecular organization of self-assembling chlorosomal bacteriochlorophyll c, d, or e mimics
PublicationBacteriochlorophylls (BChls) c, d, and e are the main light-harvesting pigments of green photosynthetic bacteria that self-assemble into nanostructures within the chlorosomes forming the most efficient antennas of photosynthetic organisms. All previous models of the chlorosomal antennae, which are quite controversially discussed because no single crystals could be grown so far from these organelles, involve a strong hydrogen-bonding...
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Strategia energetyczna Mołdawii do 2030 r. w kontekście zobowiazań umowy stowarzyszeniowej z Unią Europejską
PublicationArtykuł ukazuje stopień kohezji założeń strategii energetycznej Mołdawii do 2030 r. z zobowiazaniami wynikajacymi z umowy stowarzyszeniowej z UE w tym zakresie.
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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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Leukemia and risk of recurrent Escherichia coli bacteremia: genotyping implicates E. coli translocation from the colon to the bloodstream.
PublicationIn patients with leukemia, the portal(s) and reasons for the persistence of an Escherichia coli recurrent bacteremia remain unclear. Adult Hematology Clinic (AHC) databases at the State Clinical Hospital in Gdańsk were reviewed to evaluate the frequency of E. coli bacteremia between 2002 and 2005. Blood and bowel E. coli strains were obtained and the genetic relatedness of the strains was analyzed. The rate of E. coli bacteremia...
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Multi-Temporal Analysis of Changes of the Southern Part of the Baltic Sea Coast Using Aerial Remote Sensing Data
PublicationUnderstanding processes that affect changes in the coastal zone and the ability to predict these processes in the future depends on the period for which detailed monitoring is carried out and on the type of coast. This paper analyzes a southern fragment of the Baltic coast (30 km), where there has been no anthropogenic impact (Slowinski National Park). The study was carried out covering a time interval of 65 years. Historic and...
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Collective citizens' behavior modelling with support of the Internet of Things and Big Data
PublicationIn this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed...
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Le reti della terza Italia.Imprese, calcio, sponsirzzazioni e territorio in Serie B 81982-2006)
PublicationIl capitolo si occupa dei rapporti tra imprese e sponsirzzazioni dei club calcistici italiani della serie B tra il 1982 e il 2006
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The use of machine learning for face regions detection in thermograms
PublicationThe aim of this study is to analyse the methods of detecting characteristic points of the face in thermographic images. As part of the implementation an extensive analysis of scientific publications covering similar issues both for the analysis of images made in visible light and thermographic images was carried out. On the basis of this analysis, 3 models were selected and then they were implemented and tested on the basis of...
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Seeking genetic signature of radiosensitivity - a novel method for data analysis in case of small sample sizes
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Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations
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