Search results for: CORPORATE BANKRUPTCY PREDICTION
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Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks
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Numerical prediction of steady and unsteady tip vortex cavitation on hydrofoils
PublicationArtykuł przedstawia metodę numeryczną do wyznaczania kawitujących wirów wierzchołkowych powstających za płatami nośnymi. Metoda ta jest oparta na rozwiązywanie dwufazowego turbulentnego przepływu cieczy lepkiej. Pozwala ona wyznaczyć geometrię kawitującego wiru dla różnych geometrii płata nośnego i dla różnych parametrów przepływu. Pokazano porównanie wyników obliczeń z pomiarami i rejestracjami wykonanymi na modelu płata w tunelu...
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Prediction of consumer electricity needs based on Internet weather forecasts
PublicationElectrical energy is considered both as an important driver for producing and transporting goods in companies, as well as a good in itself which requires planning and management for generating and delivering it to consumers in proper time and amounts. Weather information can be considered to convey part of the data on energy delivery needs of consumers. Free meteorological data sources on the Web do not offer consistent data to...
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Skill of remote sensing snow products for distributed runoff prediction
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Atmospheric degradation mechanism of anthracene initiated by OH•: A DFT prediction
PublicationDensity functional theory (DFT) calculations at the M06-2X/def2-TZVP level have been employed to investigate the atmospheric oxidation mechanism of anthracene (ANT) initiated by HO•. Direct hydrogen atom abstraction from the ANT using HO• takes place hardly at ambient conditions while the addition of HO• to the C1, C2, and C4 sites are thermodynamically and kinetically more advantageous. The addition reactions are controlled by...
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Prediction of ship resistance with the use of Full-scale CFD simulations
PublicationIn recent years, the IMO has introduced new regulations to reduce the negative impact of ships on the natural environment. A particularly important step forcing technological innovations is the increasing requirement of ship energy efficiency. It is expressed by the Energy Efficiency Design Index (EEDI). Another important step towards green shipping is rising the required quality of fuel used for propulsion, so called Tier limits....
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Application of a fuzzy neural network for river water quality prediction
PublicationMonitoring i modelowanie zmian w jakości wód powierzchniowych stanowią jeden z kluczowych elementów monitoringu i zarządzania ochroną środowiska na skalę globalną. Kontrolowanie tak złożonych i nieliniowych w swojej charakterystyce obiektów, jakimi są rzeki, jest trudnym zadaniem. Zazwyczaj do tego celu wykorzystuje się modele matematyczne, jednak czasem wymagają one bardzo dużej ilości danych, lub czas oczekiwania na odpowiedź...
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Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel
PublicationIn this study, the connection between total strain energy density and fracture surface topography is investigated in additively manufactured maraging steel exposed to low-cycle fatigue loading. The specimens were fabricated using laser beam powder bed fusion (LB-PBF) and examined under fully-reversed strain-controlled setup at strain amplitudes scale from 0.3% to 1.0%. The post-mortem fracture surfaces were explored using a non-contact...
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Prediction of Bioactive Peptides From Chicken Feather and Pig Hair Keratins Using In Silico Analysis Based on Fragmentomic Approach
PublicationBackground: Keratin is among the most abundant structural proteins of animal origin, however it remains broadly underutilized. Objective: Bioinformatic investigation was performed to evaluate selected keratins originating from mass-produced waste products, i.e., chicken feathers and pig hair, as potential sources of bioactive peptides. Methods: Pepsin, trypsin, chymotrypsin, papain, and subtilisin were used for in silico keratinolysis...
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Prediction of metal deformation due to line heating; an alternative method of mechanical bending, based on artificial neural network approach
PublicationLine heating is one of the alternative methods of forming metals and this kind of forming uses the heating torch as a source of heat input. During the process, many parameters are considered like the size of the substrate, thickness, cooling method, source power intensity, the travel speed of the power source, the sequence of heating, and so on. It is important to analyze the factors affecting the...
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Validation study on a new semi-empirical method for the prediction of added resistance in waves of arbitrary heading in analyzing ship speed trial results
PublicationThis paper describes an open and extensive validation study carried out by the Specialist Committee on Ships in Operation at Sea (SOS) of the International Towing Tank Conference (ITTC) on the newly developed SHOPERA-NTUA-NTU-MARIC (SNNM) wave-added resistance prediction method. The SNNM method aims at a simple, fast and transparent determination of the added resistance in regular waves of arbitrary encounter directions, even when...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublicationNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Artificial Neural Networks for Prediction of Antibacterial Activity in Series of Imidazole Derivatives
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Development of a Formability Prediction Model for Aluminium Sandwich Panels with Polymer Core
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Blind prediction of homo‐ and hetero‐protein complexes: The CASP13‐CAPRI experiment
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Conformation-family Monte Carlo: A new method for crystal structure prediction
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Data Sampling-Based Feature Selection Framework for Software Defect Prediction
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Prediction of the stability during optimal control of the 3-wheel mobile platform
PublicationW pracy przedstawiono metodę badania stabilności sterowania optymalnego 3-kołową platformą mobilną podczas realizacji zadanej trajektorii ruchu. Badany robot posiada więzy nieholonomiczne. Model matematyczny robota 3-kołowego opisano za pomocą skończonej liczby nieliniowych równań różniczkowych. Stąd, prognozowanie ruchu takiego obiektu wymaga zastosowania efektywnych algorytmów.
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Foil capacitors relability prediction based on fluctuation and non-linear phenomena
PublicationPrzeanalizowano właściwości nieliniowe i zjawiska fluktuacyjne kondensatorów w celu wytypowania kryterium selekcji kondensatorów przeciwzakłóceniowych na grupy o różnej trwałości i niezwodności. Może to poprawić proces oceny jakości kondensatorów o podwyższonej niezawodności. Przedstawiono wybrane wyniki eksperymentalne pomiaru kondensatorów wytwarzanych przez ZR MIFLEX w Kutnie. Opisano rozwiązanie implementacji technik pomiaru...
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On long-term prediction of stresses in principal members of ship hull structures.
PublicationOpisano krytycznie wymagania towarzystw klasyfikacyjnych dotyczące oceny wytrzymałości wzdłużnych wiązarów i wzdłużnych usztywnień poszycia kadłuba statku. Przedstawiono sposób prognozowania długoterminowego dynamicznych składowych tych naprężeń oraz zaproponowano sposób składania charakterystycznych wartości poszczególnych składowych naprężeń do zastosowania w przepisach Polskiego Rejestru Statków. Sposób ten bazuje na koncepcji...
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The prediction method of the shear angle in the cutting zone during wood sawing
PublicationW artykule opisano metodę przewidywania kąta ścinania w strefie skrawania dla przypadku przecinania drewna. Kąt ścinania był określany z wykorzystaniem współczesnej mechaniki pękania. Nieliniowe równanie opisujące tą wielkość było rozwiązywane numerycznie za pomocą metody iteracyjnej Newton-Raphson. Otrzymane wyniki obliczeń wykazują możliwość rozszerzenia obszaru modelowania efektów energetycznych procesu przecinania drewna nawet...
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Theoretical prediction of enthalpies and temperatures of sublimation of organochlorine compounds including pesticides
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Prediction of CO2 emissions of a car using the discrete map of the operating conditions
PublicationW pracy przedstawiono propozycję opisu warunków eksploatacji pojazdów w wybranej aglomeracji miejskiej z użyciem dyskretnej mapy warunków eksploatacji. Mapa taka umożliwia prognozowanie wybranych parametrów eksploatacyjnych pojazdów dla przyjętych dróg przejazdu oraz różnych jednostek napędowych. Głównymi parametrami wyznaczanymi z użyciem dyskretnej mapy warunków eksploatacji są: całkowita energia przeznaczana do napędu wybranego...
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Numerical weather prediction - data fusion to GIS systems and potential applications
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Performance Modeling and Prediction of Real Application Workload in a Volunteer-based System
PublicationThe goal of this paper is to present a model that predicts the real workload placed on a volunteer based system by an application, with incorporation of not only performance but also availability of volunteers. The application consists of multiple data packets that need to be processed. Knowing the computational workload demand of a single data packet we show how to estimate the application workload in a volunteer based system. Furthermore,...
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Adaptive prediction of stock exchange indices by state space wavelet networks
PublicationThe paper considers the forecasting of the Warsaw Stock Exchange price index WIG20 by applying a state space wavelet network model of the index price. The approach can be applied to the development of tools for predicting changes of other economic indicators, especially stock exchange indices. The paper presents a general state space wavelet network model and the underlying principles. The model is applied to produce one session...
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A method for the accurate numerical prediction of the tip vortices shed from hydrofoils
PublicationPraca przedstawia wyniki obliczeń numerycznych rozkładu wirowości i pól prędkości w przekrojach wirów wierzchołkowych generowanych przez płaty nośne. Obliczenia przeprowadzono przy pomocy nowej, wyspecjalizowanej metody dyskretyzacji obszaru przepływu. Rezultaty obliczeń porównano z wynikami pomiarów anemometrem laserowym za modelami płatów w tunelu kawitacyjnym. Porównanie to potwierdziło skuteczność nowej metody dyskretyzacji...
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Chemometrics for Selection, Prediction, and Classification of Sustainable Solutions for Green Chemistry—A Review
PublicationIn this review, we present the applications of chemometric techniques for green and sustainable chemistry. The techniques, such as cluster analysis, principal component analysis, artificial neural networks, and multivariate ranking techniques, are applied for dealing with missing data, grouping or classification purposes, selection of green material, or processes. The areas of application are mainly finding sustainable solutions...
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Prediction of the Biogenic Amines Index of Poultry Meat Using an Electronic Nose
PublicationThe biogenic amines index of fresh chicken meat samples during refrigerated storage was predicted based on the headspace analysis using an electronic nose equipped with an array of electrochemical sensors. The reference biogenic amines index values were obtained using dispersive liquid–liquid microextraction–gas chromatography–mass spectrometry. A prototype electronic nose with modular construction and a dedicated sample chamber...
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Accidental wow evaluation based on sinusoidal modeling and neural nets prediction
PublicationReferat przedstawia opis algorytmu do określenia charakterystyki zniekształcenia kołysania dźwięku. Prezentowane podejście wykorzystuje sinusoidalną analizę dźwięku bazującą zarówno na amplitudowym jak i fazowym widmie sygnału fonicznego. Trajektorie poszczególnych składowych tonalnych, obrazujące zniekształcenie kołysania, określane są na podstawie analizy ich chwilowych amplitud, częstotliwości i faz. Dodatkowo referat przedstawia...
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Early prediction of macrocrack location in concrete and other granular composite materials
PublicationHeterogeniczne kruche kompozyty, takie jak beton, ceramika i skały składają się z ziaren połączonych wiązaniami. Pytanie, czy ścieżka pęknięcia, która prowadzi do zniszczenia może być przewidziania na podstawie znanych cech mikrostrukturalnych, a mianowicie łączności wiązań, rozmiaru, energii pękania, wytrzymałości pozostają otwarte. Istnieje wiele kryteriów pęknięć. Najczęściej używane są oparte na postulowanym ekstremum naprężenia...
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Effect of temperature and composition on physical properties of deep eutectic solvents based on 2-(methylamino)ethanol – measurement and prediction
PublicationNovel deep eutectic solvents were synthesized using 2-(methylamino)ethanol as hydrogen bond donor with tetrabutylammonium bromide or tetrabutylammonium chloride or tetraethylammonium chloride as hydrogen bond acceptors. Mixtures were prepared at different molar ratios of 1:6, 1:8 and 1:10 salt to alkanolamine and then Fourier Transform Infrared Spectroscopy measurements were performed to confirm hydrogen bonds interactions between...
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Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
PublicationThe economic sustainability of aquifers across the world relies on accurate and rapid estimates of groundwater storage changes, but this becomes difficult due to the absence of insitu groundwater surveys in most areas. By closing the water balance, hydrologic remote sensing measures offer a possible method for quantifying changes in groundwater storage. However, it is uncertain to what extent remote sensing data can provide an...
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Katarzyna Kubiszewska dr
PeopleKatarzyna Kubiszewska has taught finance and banking at the Department of Finance since 2008. In his scientific work, he is interested in the transformation of banking systems in the Central and Eastern European region, but also in the financing of the cultural sector. The publications concern the field of social sciences in the discipline of economics and finance. Since 2019, he has been collaborating with journals such as Economic...
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Prediction of Protein Structure by Template-Based Modeling Combined with the UNRES Force Field
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Recent improvements in prediction of protein structure by global optimization of a potential energy function
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Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction
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Self-Concept Clarity and Religious Orientations: Prediction of Purpose in Life and Self-Esteem
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Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs
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Autocovariance based weighting strategy for time series prediction with weighted LS-SVM
PublicationPrzedstawiono metodę konstrukcji algorytmów z funkcją jądra, a także dwa algorytmy uzyskane poprzez użycie różnych funkcji straty. Zaproponowano kowariacyjną strategię ważenia algorytmów z kwadratową funkcją straty do problemu predykcji chaotycznych przebiegów czasowych.
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Hybrid Numerical-Analytical Approach for Force Prediction in End Milling of 42CrMo4 Steel
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The Influence of Input Data Standardization Method on Prediction Accuracy of Artificial Neural Networks
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Risk factors assessment and risk prediction models in lung cancer screening candidates
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Prediction of flow boiling heat transfer data for R134a, R600a and R290 in minichannels
PublicationIn the paper presented is the analysis of the results of calculations using a model to predict flow boiling of refrigerants such as R134a, R600a and R290. The latter two fluids were not used in development of model semiempirical correction. For that reason the model was verified with present experimental data. The experimental research was conducted for a full range of quality variation and a relatively wide range of mass velocity....
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The Round Robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
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Empirical verification in industrial conditions of fracture mechanics models of cutting power prediction
PublicationA comparison of experimental results obtained in the industrial conditions at a sawmill located in the Baltic Natural Forest Region (PL) and theoretical cutting power consumption forecasted with the models which include work of separation (fracture toughness) in addition to plasticity and friction has been described. In computations of cutting power consumption during rip sawing of Scots pine wood (Pinus sylvestris L.) values of...
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Failure mode prediction for composite structural insulated panels with MgO board facings
PublicationSandwich panels are readily used in civil engineering due to their high strength to weight ratio and the ease and speed of assembly. The idea of a sandwich section is to combine thin and durable facings with a light-weight core and the choice of materials used allows obtaining the desired behaviour. Panels in consideration consist of MgO (magnesium oxide) board facings and expanded polystyrene core and are characterized by immunity...
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Magdalena Popowska dr
PeopleMagdalena Popowska (PhD) is a researcher and lecturer of Organization Science and Entrepreneurship at the Faculty of Management and Economics of Gdansk University of Technology. For many years she has been in charge of exchange programmes, double degrees and other internationalization activities. In 2008-2016 she was a Vice-Dean for International and Public Affairs and now she is a Dean Proxy for International Cooperation. Her...
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Market Price Prediction of Property Rights from Gas Fired Plants or Plants with Total Installed CHP Source Capacity Below 1 MW until 2025
PublicationThe resolution on the Polish Energy Policy until 2030 (PEP-30) was adopted by the Council of Ministers on 10 November 2009. The document specifies the combined electricity and heat generation as a direction of pursuing the goals of energy efficiency, fuel and energy supply security, competitive fuel and energy markets development, and reduction of the energy sector’s environmental impact. PEP-30 assumes that electricity generation...
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Artificial Neural Network (ANN)-Based Voltage Stability Prediction of Test Microgrid Grid
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