Wyniki wyszukiwania dla: numerical weather prediction - MOST Wiedzy

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Wyniki wyszukiwania dla: numerical weather prediction

Wyniki wyszukiwania dla: numerical weather prediction

  • Weather Hazard Avoidance in Modeling Safety of Motor-Driven Ship for Multicriteria Weather Routing

    Weather routing methods find the most suitable ocean?s route for a vessel, taking into account changeable weather conditions and navigational constraints. In the multicriteria approach based on the evolutionary SPEA algorithm one is able to consider a few constrained criteria simultaneously. The approach applied for a ship with hybrid propulsions has already been presented by one of the authors on previous TransNav?2009. This time...

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  • SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

    Czasopisma

    ISSN: 1539-4956 , eISSN: 1542-7390

  • Optimization of Wireless Networks for Resilience to Adverse Weather Conditions

    Publikacja
    • M. Pióro
    • E. Fitzgerald
    • I. Kalesnikau
    • D. Nace
    • J. Rak

    - Rok 2020

    In this chapter, we consider how adverse weather conditions such as rain or fog affect the performance of wireless networks, and how to optimize these networks so as to make them robust to these conditions. We first show how to analyze the weather conditions in order to make them useful for network optimization modelling. Using an example realistic network, we show how to optimize two types of wireless networks: free-space optical...

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  • Enhancing Resilience of FSO Networks to Adverse Weather Conditions

    Publikacja

    - IEEE Access - Rok 2021

    Optical wireless networks realized by means of gigabit optical wireless communication (OWC) systems are becoming, in a variety of applications, an important alternative, or a complementary solution, to their fiber-based counterparts. However, performance of the OWC systems can be considerably degraded in periods of unfavorable weather conditions, such as heavy fog, which temporarily reduce the effective capacity of the network....

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  • Multi-objective weather routing of sailing vessels

    The paper presents a multi-objective deterministic method of weather routing for sailing vessels. Depending on a particular purpose of sailboat weather routing, the presented method makes it possible to customize the criteria and constraints so as to fit a particular user’s needs. Apart from a typical shortest time criterion, safety and comfort can also be taken into account. Additionally, the method supports dynamic weather data:...

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  • WEATHER

    Czasopisma

    ISSN: 0043-1656 , eISSN: 1477-8696

  • Impact of adverse winter weather on traffic flow

    Publikacja

    The paper aims to analyse the impact of adverse weather in winter on traffic flow using data from a dual carriageway section of an express road located in Gdansk. For the purposes of the analysis, traffic and meteorological data were collected for a period of 15 months in 2014-2015 and aggregated to 5 minutes intervals. The impact of winter weather conditions on traffic flow was assessed by comparing aggregated traffic stream parameters...

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  • The Impact of Weather on Traffic Speed in Urban Area

    The issue of the impact of weather conditions on trip speed of vehicles has been studied for a long time and it is still the subject of many scientific researches. The impact of atmospheric conditions on the speed with which drivers drive their vehicles seems to be obvious. Good weather conditions, sunny weather with good visibility surely provokes higher speed while rainfall, wind...

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  • Collision Risk-Informed Weather Routing for Sailboats

    Selected COLREG rules, good seamanship and sheer common sense indicate that it is in a sailboat's interest to follow collision-free routes without relying on large power-driven ships to give way. Until now, however, no method has integrated a sailboat's weather routing with collision risk monitoring and collision avoidance. Therefore, a new deterministic approach to combine the above features within one method is introduced here....

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  • Multicriteria Evolutionary Weather Routing Algorithm in Practice

    The Multicriteria Evolutionary Weather Routing Algorithm (MEWRA) has already been introduced by the author on earlier TransNav 2009 and 2011 conferences with a focus on theoretical application to a hybrid-propulsion or motor-driven ship. This paper addresses the topic of possible practical weather routing applications of MEWRA. In the paper some practical advantages of utilizing Pareto front as a result of multicriteria optimization...

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  • Multi-objective Weather Routing with Customised Criteria and Constraints

    Publikacja

    The paper presents a weather routing algorithm utilising a multi-objective optimisation with constraints, namely the Multi-objective Evolutionary Weather Routing Algorithm (MEWRA). In the proposed approach weather route recommendations can be made simultaneously e.g. for passage time, fuel consumption and safety of passage by means of Pareto optimisation. The sets of criteria and constraints in the optimisation process are fully...

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  • A survey on network resiliency methodologies against weather-based disruptions

    Publikacja
    • M. Tornatore
    • J. Andre
    • P. Babarczi
    • T. Braun
    • E. Folstad
    • P. Heegaard
    • A. Hmaity
    • M. Furdek
    • L. Jorge
    • W. Kmiecik... i 9 innych

    - Rok 2016

    Due to the increasing dependence on network services of our society, research has recently been concentrating on enhancing traditional protection strategies to withstand large-scale failures, as in case of disaster events. The recently-formed EU-funded RECODIS project aims at coordinating and fostering research collaboration in Europe on disaster resiliency in communication networks. In particular, the Working Group (WG) 2 of the...

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  • Assessing the Effects of the Road Surface and Weather Conditions on Road Safety

    Publikacja

    - Journal of KONBiN - Rok 2019

    When transport is analysed for its safe delivery the focus is mainly on assessing the safety of roads and the risk of undesired events. These include road accidents, an occurrence which is relatively rare and random. Randomness means that accidents depend on several factors which are partly deterministic (can be controlled) and partly stochastic (random and unpredictable). The set of crash contributing factors can be classified...

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  • Optimizing FSO networks resilient to adverse weather conditions by means of enhanced uncertainty sets

    Publikacja

    - Optical Switching and Networking - Rok 2021

    This work deals with dimensioning of wireless mesh networks (WMN) composed of FSO (free space optics) links. Although FSO links realize broadband transmission at low cost, their drawback is sensitivity to adverse weather conditions causing transmission degradation on multiple links. Hence, designing such FSO networks requires an optimization model to find the cheapest configuration of link capacities that will be able to carry...

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  • Derecho Evolving from a Mesocyclone—A Study of 11 August 2017 Severe Weather Outbreak in Poland: Event Analysis and High-Resolution Simulation

    Publikacja
    • M. Taszarek
    • N. Piguj
    • J. Orlikowski
    • A. Surowiecki
    • S. Walczakiewicz
    • W. Pilorz
    • K. Piasecki
    • Ł. Pajurek
    • M. Półrolniczak

    - MONTHLY WEATHER REVIEW - Rok 2019

    This study documents atmospheric conditions, development, and evolution of a severe weather outbreak that occurred on 11 August 2017 in Poland. The emphasis is on analyzing system morphology and highlighting the importance of a mesovortex in producing the most significant wind damages. A derecho-producing mesoscale convective system (MCS) had a remarkable intensity and was one of the most impactful convective storms in the history...

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  • ADOPTED ISOCHRONE METHOD IMPROVING SHIP SAFETY IN WEATHER ROUTING WITH EVOLUTIONARY APPROACH

    The paper is focused on adaptation of an isochrone method necessary for application to a weather routing system with evolutionary approach. Authors propose an adaptation of the isochrone method with area partitioning assuring that the route found by the adopted method would not cross land. In result, when applied to a weather routing system with evolutionary approach, this proposal facilitates creation of initial population, resulting...

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  • A new approach to design of weather disruption-tolerant wireless mesh networks

    Publikacja

    Wireless Mesh Networks, offering transmission rates of 1–10 Gb/s per a millimeter-wave link (utilizing the 71–86 GHz band) seem to be a promising alternative to fiber optic backbone metropolitan area networks because of significantly lower costs of deployment and maintenance. However, despite providing high transmission rates in good weather conditions, high-frequency wireless links are very susceptible to weather disruptions....

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  • Ship weather routing featuring w-MOEA/D and uncertainty handling

    Publikacja

    The paper presents a new version of evolutionary multi-objective weather routing (WR) for ships taking into account uncertainties of weather forecasts in route optimization. The method applies authors’ w-MOEA/D algorithm: MOEA/D framework incorporating Decision Maker’s (DM) preferences by means of w-dominance relation. Owing to this, DM preferences are taken into account throughout optimization, allowing the process to focus on...

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  • WEATHER AND FORECASTING

    Czasopisma

    ISSN: 0882-8156 , eISSN: 1520-0434

  • Weather and Climate

    Czasopisma

    ISSN: 0111-5499

  • Numerical Methods

    Kursy Online
    • P. Sypek
    • M. Rewieński

    Numerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...

  • Determining and visualizing safe motion parameters of a ship navigating in severe weather conditions

    Publikacja

    The paper presents a method of determining, organizing and displaying ship collision avoidance information, which is based on the Collision Threat Parameters Area (CTPA) technique. The method makes it possible to visualize navigational threats as well as possible collision avoidance manoeuvres. The solution is focused on supporting navigation in severe weather conditions. Normally collision avoidance decisions are made taking into...

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  • Prognozowanie właściwości złączy spawanych pod wodą metodą lokalnej komory suchej

    Publikacja

    - Rok 2018

    Niniejsza praca jest poświęcona spawaniu pod wodą metodą lokalnej komory suchej (MLKS) i przedstawia metodologię oraz narzędzia umożliwiające prognozowanie właściwości złączy spawanych wykonanych przy zastosowaniu tej odmiany spawania. Monografia zawiera opis rozwoju spawania pod wodą oraz charakterystykę metod wykorzystywanych do realizacji prac spawalniczych. Zaproponowano nowy podział metod spawania pod wodą, uwzględniający...

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  • Weather Routing System Architecture Using Onboard Data Collection and Route Optimisation

    Publikacja

    - Polish Maritime Research - Rok 2022

    This paper describes the architecture of a weather routing system consisting of two key elements: onboard monitoring and route optimiser sub-systems. The former is responsible for collecting various onboard measurements, such as current ship position or ship motion variables. These data, when gathered and processed, are then used for fine-tuning a ship model. The model, together with weather forecasts, is utilised by a multi-objective...

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  • Jan Kozicki dr hab. inż. arch.

    W roku 2002 po uzyskaniu dyplomu magistra inżyniera w zakresie konstrukcji budowlanych podjął pracę na Wydziale Inżynierii Lądowej i Środowiska PG. W 2004 roku uzyskał dyplom magistra architekta na Wydziale Architektury za projekt stacji badawczej na Marsie. Doktorat obronił w 2007 roku w zakresie modelowania numerycznego w dynamice klasycznej. W 2013 roku uzyskał licencjat z zakresu fizyki teoretycznej na Uniwersytecie Gdańskim....

  • High-resolution fire danger forecast for Poland based on the Weather Research and Forecasting Model

    Publikacja

    - INTERNATIONAL JOURNAL OF WILDLAND FIRE - Rok 2022

    Due to climate change and associated longer and more frequent droughts, the risk of forest fires increases. To address this, the Institute of Meteorology and Water Management implemented a system for forecasting fire weather in Poland. The Fire Weather Index (FWI) system, developed in Canada, has been adapted to work with meteorological fields derived from the high-resolution (2.5 km) Weather Research and Forecasting (WRF) model....

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  • Preference-based evolutionary multi-objective optimization in ship weather routing

    In evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal solutions. Such approach may be applied to multiple real-life problems, including weather routing (WR) of ships. The route should be optimal in terms of passage time, fuel consumption and safety of crew and cargo while taking into account dynamically changing weather conditions. Additionally it must not violate any navigational constraints...

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  • Numerical Modeling of Hydrosystems 2023/2024

    Kursy Online
    • A. Szymkiewicz
    • A. Gumuła-Kawęcka
    • M. Szydłowski

    Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

  • Methods of Artificial Intelligence for Prediction and Prevention Crisis Situations in Banking Systems

    In this paper, a support vector machine has been studied due to prediction of bank crisis. To prevent outcomes of crisis situations, artificial neural networks have been characterized as applied to stock market investments, as well as to test the credibility of the bank's customers. Finally, some numerical experiments have been presented.

  • Rating Prediction with Contextual Conditional Preferences

    Publikacja

    - Rok 2016

    Exploiting contextual information is considered a good solution to improve the quality of recommendations, aiming at suggesting more relevant items for a specific context. On the other hand, recommender systems research still strive for solving the cold-start problem, namely where not enough information about users and their ratings is available. In this paper we propose a new rating prediction algorithm to face the cold-start...

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  • Numerical methods in heat and fluid flow, PG_00057408

    Kursy Online
    • P. Ziółkowski

    Reiteration of information on thermodynamic cycles and extension of information on their modelling using commercial software tools. Presentation of balances, constitutive equations, how to set up conditions in CFD type codes. Equipment regulation and control in the context of heat exchangers.Presentation of the computational capabilities of the CFD calculation code ANSYS Fluent. Mass, momentum and energy balances in 0D and 3D terms.Analysis...

  • METHOD FOR SHIP'S ROLLING PERIOD PREDICTION WITH REGARD TO NON-LINEARITY OF GZ CURVE

    Publikacja

    The paper deals with the problem of prediction of the rolling period. A special emphasis is put on the practical application of the new method for rolling period prediction with regard to non-linearity of the GZ curve. The one degree-of-freedom rolling equation is applied with using the non-linear stiffness moment and linear damping moment formulas. A number of ships are considered to research the discrepancies between the pending...

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  • Numerical Modeling of Hydrosystems 2022/2023 (summer)

    Kursy Online
    • A. Szymkiewicz
    • M. Szydłowski
    • A. M. Mustafa

    Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

  • Numerical Modeling of Hydrosystems 2022/2023 (winter)

    Kursy Online
    • A. Szymkiewicz
    • M. Szydłowski
    • A. M. Mustafa

    Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

  • Ship Resistance Prediction with Artificial Neural Networks

    Publikacja

    - Rok 2015

    The paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...

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  • Identification of ship’s hull mathematical model with numerical methods

    Publikacja

    - Rok 2023

    The modern maritime industry is moving toward the development of technology that will allow for full or partial autonomy of ship operation. This innovation places high demands on ship performance prediction techniques at the design stage. The researchwork presented in the article is related to the design stage of the ship and concerns methods for prognosis and evaluation of the specific operational condition of the ship, namely...

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  • Weather and Climate Extremes

    Czasopisma

    ISSN: 2212-0947

  • Weather and Climate Dynamics

    Czasopisma

    eISSN: 2698-4016

  • Numerical Methods for Partial Differential Equations

    Kursy Online
    • M. Rewieński

    Course description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...

  • Numerical modelling and experimental verification of compressible squeeze film pressure

    Publikacja

    The validity of using the Reynolds equation for compressible squeeze film pressure was tested with computational fluid dynamics (CFD). A squeeze film air bearing was instrumented with pressure sensors and non-contacting displacement probes to provide transient measurements of film thickness and pressure. The film thickness measurements also provided input parameters to the numerical prediction. However, numerical results showed...

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  • ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE

    Czasopisma

    ISSN: 2822-7840 , eISSN: 2804-7214

  • Intelligent Decision Forest Models for Customer Churn Prediction

    Publikacja
    • F. E. Usman-Hamzah
    • A. O. Balogun
    • L. F. Capretz
    • H. A. Mojeed
    • S. Mahamad
    • S. A. Salihu
    • A. G. Akintola
    • S. Basri
    • R. T. Amosa
    • N. K. Salahdeen

    - Applied Sciences-Basel - Rok 2022

    Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones....

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  • NUMERICAL ALGORITHMS

    Czasopisma

    ISSN: 1017-1398 , eISSN: 1572-9265

  • EVOLUTIONARY MULTI–OBJECTIVE WEATHER ROUTING OF SAILBOATS

    The paper presents a multi-objective method, which optimises the route of a sailboat. The presented method makes use of an evolutionary multi-objective (EMO) algorithm, which performs the optimisation according to three objective functions: total passage time, a sum of all course alterations made during the voyage and the average angle of heel. The last two of the objective functions reflect the navigator’s and passenger’s comfort,...

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  • Prediction of manoeuvring abilities of 10000 DWT pod-driven coastal tanker

    Publikacja

    This paper aims to present a new approach in the prediction of manoeuvring abilities of pod-driven ships. A new mathematical model of motions based on MMG methodology was developed and a new type of description of forces acting on azimuth drives is presented. Captive model tests of medium-size coastal tanker and pod open water tests were carried out in CTO S.A. (Ship Design and Research Centre S.A.) to obtain hull hydrodynamic derivatives...

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  • Extreme weather layer method for implementation of nature-based solutions for climate adaptation: Case study Słupsk

    Publikacja

    - SCIENCE OF THE TOTAL ENVIRONMENT - Rok 2022

    One of the most severe climate risks that is expected to affect all regions is related to stormwater. Climate models, constructed based on long-term trends, show that extreme weather events such as storms, cloudbursts and a large rise in sea level will be significant in the coming decades. Moreover, even the frequency and intensity of “normal” rainfall events, such as microbursts, are expected to be remarkably higher than today...

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  • Combined numerical and experimental approach to determine numerical model of abdominal scaffold

    A proper junction of the prosthesis and the abdominal wall is important in successful hernia repair. The number of tacks should be balanced to assure appropriate mesh fixation and not to induce post-operative pain. Numerical simulations help to find this balance. The study is aimed at creating a proper numerical model of a knitted surgical mesh subjected to boundary conditions and load occurring in the abdominal cavity. Continuous,...

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  • Akaike's final prediction error criterion revisited

    Publikacja

    When local identification of a nonstationary ARX system is carried out, two important decisions must be taken. First, one should decide upon the number of estimated parameters, i.e., on the model order. Second, one should choose the appropriate estimation bandwidth, related to the (effective) number of input-output data samples that will be used for identification/ tracking purposes. Failure to make the right decisions results...

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  • Multicomponent ionic liquid CMC prediction

    We created a model to predict CMC of ILs based on 704 experimental values published in 43 publications since 2000. Our model was able to predict CMC of variety of ILs in binary or ternary system in a presence of salt or alcohol. The molecular volume of IL (Vm), solvent-accessible surface (Sˆ), solvation enthalpy (DsolvGN), concentration of salt (Cs) or alcohol (Ca) and their molecular volumes (Vms and Vma, respectively) were chosen...

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  • Dynamic Bankruptcy Prediction Models for European Enterprises

    This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are developed with the use of four different methods—fuzzy sets, recurrent and...

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  • Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction

    Publikacja

    - Sustainability - Rok 2023

    A reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems....

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  • Design of Weather Disruption-Tolerant Wireless Mesh Networks

    Publikacja

    - Rok 2012

    Z uwagi na wysoki koszt realizacji sieci teleinformatycznych wykorzystujących przewodową transmisję światłowodową, bezprzewodowe sieci kratowe (WMN) oferujące transmisję rzędu 1-10 Gb/s (przy wykorzystaniu pasma millimeter-wave - 71-86 GHz), wydają się być obiecującą alternatywą dla przewodowych sieci MAN. Jednakże z uwagi na właściwości transmisji bezprzewodowej w oparciu o łącza wysokiej częstotliwości, łącza te są bardzo wrażliwe...

  • Systematic Literature Review on Click Through Rate Prediction

    The ability to anticipate whether a user will click on an item is one of the most crucial aspects of operating an e-commerce business, and clickthrough rate prediction is an attempt to provide an answer to this question. Beginning with the simplest multilayer perceptrons and progressing to the most sophisticated attention networks, researchers employ a variety of methods to solve this issue. In this paper, we present the findings...

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  • A new index for statistical analyses and prediction of travelling ionospheric disturbances

    Publikacja
    • C. Borries
    • A. A. Ferreira
    • G. Nykiel
    • R. A. Borges

    - JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS - Rok 2023

    Travelling Ionospheric Disturbances (TIDs) are signatures of atmospheric gravity waves (AGWs) observed in changes in the electron density. The analysis of TIDs is relevant for studying coupling processes in the thermosphere–ionosphere system. A new TID index is introduced, which is based on an easy extension of the commonly used approach for TID detection. This TID activity index, which can be applied for individual Global Navigation...

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  • Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

    Publikacja
    • M. F. Lensink
    • G. Brysbaert
    • T. Mauri
    • N. Nadzirin
    • S. Velankar
    • R. A. G. Chaleil
    • T. Clarence
    • P. A. Bates
    • R. Kong
    • B. Liu... i 98 innych

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Rok 2021

    We present the results for CAPRI Round 50, the 4th joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 12 targets, including 6 dimers, 3 trimers, and 3 higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly...

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  • Tool Wear Prediction in Single-Sided Lapping Process

    Publikacja

    - Machines - Rok 2020

    Single-sided lapping is one of the most effective planarization technologies. The process has relatively complex kinematics and it is determined by a number of inputs parameters. It has been noted that prediction of the tool wear during the process is critical for product quality control. To determine the profile wear of the lapping plate, a computer model which simulates abrasive grains trajectories was developed in MATLAB. Moreover,...

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  • Induction machine behavioral modeling for prediction of EMI propagation.

    This paper presents the results of wideband behavioral modeling of an induction machine (IM). The proposed solution enables modeling the IM differential- and common-mode impedance for a frequency range from 1 kHz to 10 MHz. Methods of parameter extraction are derived from the measured IM impedances. The developed models of 1.5 kW and 7.5 kW induction machines are designed using the Saber Sketch scheme editor and simulated in the...

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  • Introduction to Numerical Simulation

    Kursy Online
    • M. Rewieński

    Course description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems.  Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...

  • CORPORATE BANKRUPTCY PREDICTION IN POLAND AGAINST THE BACKGROUND OF FOREIGN EXPERIENCE

    Publikacja

    In highly developed countries, research in the field of bankruptcy risk prediction has been conducted for many years. For example, in the United States, which can be considered a pioneering country, the first publications appeared in the early twentieth century. In Poland, due to political and economic reasons, the interest in this issue dates back to the early 1990s. For this reason, this publication attempts to answer the following...

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  • CORPORATE BANKRUPTCY PREDICTION IN POLAND AGAINST THE BACKGROUND OF FOREIGN EXPERIENCE

    Publikacja

    In highly developed countries, research in the field of bankruptcy risk prediction has been conducted for many years. For example, in the United States, which can be considered a pioneering country, the first publications appeared in the early twentieth century. In Poland, due to political and economic reasons, the interest in this issue dates back to the early 1990s. For this reason, this publication attempts to answer the following...

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  • Review of Selected Methods for Prediction of Added Resistance in Following Waves

    Publikacja

    The added resistance in waves is a mean value of non-linear, second order reaction of a ship to incoming waves. In the beginning of the 20th century, the experimental methods for investigation of ship hydrodynamics at model scale were developed. They allowed the evaluation of added resistance by measurements in irregular waves (directly) or by measurements in regular waves (in-direct method). The main goal was to find more precise...

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  • Numerical analysis of pile installation effects in cohesive soils

    Publikacja

    - Rok 2018

    In this thesis the empirical equation for radial effective stress calculation after displacement pile installation and following consolidation phase has been proposed. The equation is based on the numerical studies performed with Updated Lagrangian, Arbitrary Lagrangian-Eulerian and Coupled Eulerian-Lagrangian formulations as well as the calibration procedure with database containing world-wide 30 pile static loading tests in cohesive...

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  • Numerical Model of Femur Part

    The aim of the study is to create a new more accurate method of femur part modelling by using the finite element method. According to this new method, a femur part is treated as a complex structure composed of trabecular bone (internal part) and cortical bone (external part). The internal part is modelled as a scaffold, thus the external part is modelled as a coat (i.e. covering). Applying the programme ABAQUS, there were created...

  • Prediction based on integration of Decisional DNA and a feature selection algorithm Relief-F

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2013

    The paper presents prediction model based on Decisional DNA and Set of experienced integrated with Relief_F algorithm for feature selection

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  • Electricity demand prediction by multi-agent system with history-based weighting

    Publikacja

    - Rok 2016

    Energy and load demand forecasting in short-horizons, over an interval ranging from one hour to one week, is crucial for on-line scheduling and security functions of power system. Many load forecasting methods have been developed in recent years which are usually complex solutions with many adjustable parameters. Best-matching models and their relevant parameters have to be determined in a search procedure. We propose a hybrid...

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  • Evaluation of the prediction ability of air pollutants based on the electronic nose responses

    Electronic noses are able to perform on-line measurements of the toxic volatile compounds in air. Due to their low cost and compact size they can be placed in the areas exposed to pollution, outside the laboratory. Those advantages, on the other side, force the need for development of the reliable sensors data analysis procedures. One of the most important issues connected with electronic noses is the lack of stability of the gas...

  • [IMe] Advanced numerical methods in mechanics

    Kursy Online
    • K. Tesch
    • R. Jankowski
    • A. Żak

    {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

  • Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

    Publikacja
    • M. F. Lensink
    • G. Brysbaert
    • N. Raouraoua
    • P. A. Bates
    • M. Giulini
    • R. V. Honorato
    • C. van Noort
    • J. S. Teixeira
    • A. M. J. J. Bonvin
    • R. Kong... i 103 innych

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Rok 2023

    We present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody–antigen complexes, and 7 large assemblies. On average 70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups...

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  • Communications in Nonlinear Science and Numerical Simulation

    Czasopisma

    ISSN: 1007-5704 , eISSN: 1878-7274

  • Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review

    Publikacja

    - Applied Sciences-Basel - Rok 2023

    Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016...

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  • Machine learning-based prediction of preplaced aggregate concrete characteristics

    Preplaced-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...

  • Machine learning-based prediction of preplaced aggregate concrete characteristics

    Preplaced-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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  • ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization

    Renal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...

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  • Multi-objective weather routing of sailboats considering wave resistance

    The article presents a method to determine the route of a sailing vessel with the aid of deterministic algorithms. The method assumes that the area in which the route is to be determined is limited and the basic input data comprise the wind vector and the speed characteristic of the vessel. Compared to previous works of the authors, the present article additionally takes into account the effect of sea waves with the resultant resistance...

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  • Weather aging effects on modified asphalt with rubber-polyethylene composites

    Publikacja

    - Science of The Total Environment - Rok 2023

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  • Protecting Wireless Mesh Networks Against Adverse Weather Conditions

    Publikacja

    - Rok 2018

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  • Prediction of Processor Utilization for Real-Time Multimedia Stream Processing Tasks

    Publikacja

    Utilization of MPUs in a computing cluster node for multimedia stream processing is considered. Non-linear increase of processor utilization is described and a related class of algorithms for multimedia real-time processing tasks is defined. For such conditions, experiments measuring the processor utilization and output data loss were proposed and their results presented. A new formula for prediction of utilization was proposed...

  • Category-Based Workload Modeling for Hardware Load Prediction in Heterogeneous IaaS Cloud

    The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.

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  • Rhamnolipid CMC Prediction

    Relationships between the purity, pH, hydrophobicity (log Kow) of the carbon substrate, and the critical micelle concentration (CMC) of rhamnolipid type biosurfactants (RL) were investigated using a quantitative structure–property relationship (QSPR) approach and are presented here for the first time. Measured and literature CMC values of 97 RLs, representing biosurfactants at different stages of purification, were considered....

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  • Algorithms for Ship Movement Prediction for Location Data Compression

    Due to safety reasons, the movement of ships on the sea, especially near the coast should be tracked, recorded and stored. However, the amount of vessels which trajectories should be tracked by authorized institutions, often in real time, is usually huge. What is more, many sources of vessels position data (radars, AIS) produces thousands of records describing route of each tracked object, but lots of that records are correlated...

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  • Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data

    Publikacja

    - Rok 2024

    This 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...

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  • Numerical and experimental propeller noise investigations

    Publikacja
    • S. Kowalczyk
    • J. Felicjancik

    - OCEAN ENGINEERING - Rok 2016

    The standard propeller has been investigated in model scale, using medium size cavitation tunnel. The hydroacoustic characteristics of propellers under different loading conditions have been investigated. Additionally the presented experimental results have been used for the verification of applied numerical approach. During both numerical and experimental analyses non-uniform inflow propeller’s conditions have been adapted. Good...

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  • Vibro piles performance prediction using result of CPT

    Vibro piles belong to the group of full displacement piles with an expanded base, characterised by a very high load capacity, especially in non-cohesive soils. The problem is to adopt a reliable method for the determination of full load–settlement (Q–s) curve. A frequent difficulty is the determination of the load capacity limit based on the static load test because the course of the load–settlement curve is of a linear nature....

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  • A CNN based coronavirus disease prediction system for chest X-rays

    Publikacja
    • U. Hafeez
    • M. Umer
    • A. Hameed
    • H. Mustafa
    • A. Sohaib
    • M. Nappi
    • H. Madni

    - Journal of Ambient Intelligence and Humanized Computing - Rok 2023

    Coronavirus disease (COVID-19) proliferated globally in early 2020, causing existential dread in the whole world. Radiography is crucial in the clinical staging and diagnosis of COVID-19 and offers high potential to improve healthcare plans for tackling the pandemic. However high variations in infection characteristics and low contrast between normal and infected regions pose great challenges in preparing radiological reports....

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  • Prediction of coking dynamics for wet coal charge

    Publikacja

    - Chemical and Process Engineering-Inżynieria Chemiczna i Procesowa - Rok 2015

    A one-dimensional transient mathematical model describing thermal and flow phenomena during coal coking in an oven chamber was studied in the paper. It also accounts for heat conduction in the ceramic oven wall when assuming a constant temperature at the heating channel side. The model was solved numerically using partly implicit methods for gas flow and heat transfer problems. The histories of temperature, gas evolution and internal...

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  • Color prediction from first principle quantum chemistry computations: a case of alizarin dissolved in methanol

    Publikacja

    - NEW JOURNAL OF CHEMISTRY - Rok 2012

    The electronic spectrum of alizarin (AZ) in methanol solution was measured and used as reference data for color prediction. The visible part of the spectrum was modelled by different DFT functionals within the TD-DFT framework. The results of a broad range of functionals applied for theoretical spectrum prediction were compared against experimental data by a direct color comparison. The tristimulus model of color expressed in terms...

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  • [ILiT, IŚGiE] Numerical Methods

    Kursy Online
    • P. Kłosowski

    {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  prof. dr hab. inż. Paweł Kłosowski Liczba godzin: 30 Forma zajęć: wykład/laboratoria {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic...

  • Numerical Methods - Data Engineering

    Kursy Online
    • R. Lech
    • P. Kurgan
    • G. Fotyga

    studia inżynierskie, informatyka i inżynieria danych

  • Numerical Methods 2023/2024

    Kursy Online
    • Ł. Żmuda-Trzebiatowski
    • R. Sauer

    Jest to pomocnicza formatka do tworzenia kursów wspomagających nauczanie stacjonarne na WILiŚ. Formatka została utworzona i udostępniona przez CNE. Uwaga: W celu wykorzystania i modyfikacji należy: 1) skopiować kurs wzorcowy 2) dopiero w kopii nanosić zmiany.

  • Shales Leaching Modelling for Prediction of Flowback Fluid Composition

    Publikacja

    The object of the paper is the prediction of flowback fluid composition at a laboratory scale, for which a new approach is described. The authors define leaching as a flowback fluid generation related to the shale processing. In the first step shale rock was characterized using X-ray fluorescence spectroscopy, X-ray diractometry and laboratory analysis. It was proven that shale rock samples taken from the selected sections of horizontal...

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  • Numerical simulation of hardening of concrete plate

    The paper presents a theoretical formulation of concrete curing in order to predict temperature evolution and strength development. The model of heat flow is based on a well-known Fourier equation. The numerical solution is implemented by means of the Finite Difference Method. In order to verify the model, the in situ temperature measurements at the top plate of a road bridge were carried out. A high agreement between numerical...

  • Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data

    Publikacja

    - Risks - Rok 2022

    This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...

  • Numerical crash analysis of the cable barrier

    Safety barriers are used to increase road safety. Their basic task is to prevent the errant vehicle from getting off the road in places which are potentially dangerous for vehicle passengers. Barriers, which are used on European roads, must fulfill the requirements of EN 1317 standards by passing appropriate crash tests. Because of their high cost, numerical simulations are increasingly used to evaluate the properties of safety...

  • Numerical Simulations for Transonic Flow in Control Valve

    Publikacja

    - Rok 2013

    Results of numerical simulations for transonic flow in control valve are presented. The valve is the main part of an adaptive pneumatic shock absorber. Flow structure in the valve domain and the influence of the flow non-uniformity in the valve on a mass flow rate is investigated. Numerical simulation results are compared with experimental data.

  • Robust Parameter Estimation and Output Prediction for Reactive Carrier-Load Nonlinear Dynamic Networks

    Publikacja

    In 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...

  • RECSYS CHALLENGE 2015: a BUY EVENT PREDICTION IN THE E-COMMERCE DOMAIN

    Publikacja

    - Rok 2016

    In this paper we present our approach to RecSys Challenge 2015. Given a set of e-commerce events, the task is to predict whether a user will buy something in the current session and, if yes, which of the item will be bought. We show that the data preparation and enrichment are very important in finding the solution for the challenge and that simple ideas and intuitions could lead to satisfactory results. We also show that simple...

  • Numerical analysis of crack propagation in silicone nitride

    Publikacja

    The properties of ceramics, specifically low density, high hardness, high temperature capability and low coefficient of thermal expansion are of most interest to rolling element manufacturers. The influence of ring crack size on rolling contact fatigue failure has been studied using numerical fracture analysis. Such cracks are very often found on ceramic bearing balls and decrease fatigue life rapidly. The numerical calculation...

  • Numerical Analysis and Applications

    Czasopisma

    ISSN: 1995-4239 , eISSN: 1995-4247

  • APPLIED NUMERICAL MATHEMATICS

    Czasopisma

    ISSN: 0168-9274 , eISSN: 1873-5460

  • Journal of Numerical Mathematics

    Czasopisma

    ISSN: 1570-2820 , eISSN: 1569-3953