Search results for: sparse autoregressive models - Bridge of Knowledge

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Search results for: sparse autoregressive models

Search results for: sparse autoregressive models

  • Abnormal cytological findings - Female, 32 - Cell image [5050730010507471]

    Open Research Data

    This is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

  • Use of Data from Satellite Navigation System in Operational and Strategic Management of Transport in Cities

    Publication

    The article presents the possibilities of using data from the Global Positioning System for the development of traffic models and examples of use this data in the transport management. Traffic models are useful tools in planning and evaluation of transport solutions, but also can be used for current, operational transport management.

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  • Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks

    This study analyzes two forecasting models based on the application of fuzzy logic and evaluates their effectiveness in predicting visitor expenditure and length of stay at a popular theme park. The forecasting models are based on a set of more than 600 decision rules constructed in the form of a complex series of IF-THEN statements. These algorithms store expert knowledge. A descriptive instrument that records the individual visitor's...

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  • Multiscalar Model Based Control Systems for AC Machines

    Publication

    - Year 2011

    Contents of the Chapter: Nonlinear transformations and feedback linearization. Models of the squirrel cage induction machine: Vector model of the squirrel cage induction machine. Multiscalar models of the squirrel cage induction machine.Feedback linearization of multiscalar models of the induction motor.Models of the double fed induction machine: Vector model of the double fed induction machine. Multiscalar model of the...

  • Modelling fatalities on regional road networks

    Publication

    During the last decade Poland’s road fatalities went down by 44%. The trend differs from region to region. Effective road safetymanagement in regions requires tools for forecasting road safety measures and identifying factors influencing road fatality numbers. Mathematical models can provide such tools. They take into account local characteristics such as: demography, economy, infrastructure and motorization. Such models could...

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  • Retention modeling of some saccharides separated on an amino column.

    Publication

    Using an amino column (Supelcosil LC-NH2) and different mixtures of acetonitrile-water, quantitative structure-retention relationship models are discussed. These models are based on computed molecular descriptors representing numerically structured features of some saccharides. The obtained results are underlining the lipophilicity/hydrophilicity balance, and how this is controlling the separation of the saccharides. The resulting...

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  • CAD. 3D modelling (2023/2024) BSc Arch, sem 2

    e-Learning Courses
    • D. Cyparski

    Conducting unit: Faculty of ArchitectureField of the study: ArchitectureAcademic year: 2023/2024 Summer TermDuration:  15 weeks (30 hours laboratory per term) Subject objectives: The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural 3D models and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations...

  • A Surrogate-Assisted Measurement Correction Method for Accurate and Low-Cost Monitoring of Particulate Matter Pollutants

    Publication

    - MEASUREMENT - Year 2022

    Air pollution involves multiple health and economic challenges. Its accurate and low-cost monitoring is important for developing services dedicated to reduce the exposure of living beings to the pollution. Particulate matter (PM) measurement sensors belong to the key components that support operation of these systems. In this work, a modular, mobile Internet of Things sensor for PM measurements has been proposed. Due to a limited...

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  • Stability of roof trusses stiffened by trapezoidal sheeting and purlins

    In the article linear buckling analysis of a set of steel trusses braced by purlins and trapezoidal sheeting are conducted. The buckling load factor due to the height of a corrugated sheeting profile is investigated in parametric studies. The minimal height of trapezoidal sheeting required for preventing the sheeting and chords of the trusses against the buckling is obtained. Two groups of models are considered: “axial” model as...

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  • THE PHASE SHIFTERS INFLUENCE ON THE POWER SYSTEM STABILITY

    Publication

    - Year 2016

    The paper presents the effect of phase shifters as FACTS devices on the possibility of improving the angle stability. Presented results obtained by the dynamic simulation performed on the mathematical model of the three machine system cooperating with the 400 kV network. The generative blocks models include turbine models with their controllers and models of synchronous generators with their excitation systems and voltage regulation....

  • Model biznesu przedsiębiorstwa wodociągowego

    W artykule przedstawiono badania nad wartościami modelu biznesu przedsiębiorstw wodociągowych w Polsce oraz przeprowadzono dyskusję nad ich postrzeganiem przez same przedsiębiorstwa. Wartości te w wielu aspektach postrzegane są w zbliżony sposób przez klientów. O ile jednak przedsiębiorstwa, jako istotne wartości postrzegały elementy związa-ne ze sprawnością i ciągłością procesu o tyle klienci kładli nacisk na sferę społeczną doty-czącą...

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  • Optical Sensor Based Gestures Inference Using Recurrent Neural Network in Mobile Conditions

    In this paper the implementation of recurrent neural network models for hand gesture recognition on edge devices was performed. The models were trained with 27 hand gestures recorded with the use of a linear optical sensor consisting of 8 photodiodes and 4 LEDs. Different models, trained off-line, were tested in terms of different network topologies (different number of neurons and layers) and different effective sampling frequency...

  • A Multi-Fidelity Surrogate-Model-Assisted Evolutionary Algorithm for Computationally Expensive Optimization Problems

    Publication

    - Journal of Computational Science - Year 2016

    Integrating data-driven surrogate models and simulation models of different accuracies (or fideli-ties) in a single algorithm to address computationally expensive global optimization problems has recently attracted considerable attention. However, handling discrepancies between simulation models with multiple fidelities in global optimization is a major challenge. To address it, the two major contributions of this paper include:...

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  • Surrogate Modeling and Optimization Using Shape-Preserving Response Prediction: A Review

    Publication

    - ENGINEERING OPTIMIZATION - Year 2016

    Computer simulation models are ubiquitous in modern engineering design. In many cases, they are the only way to evaluate a given design with sufficient fidelity. Unfortunately, an added computa-tional expense is associated with higher fidelity models. Moreover, the systems being considered are often highly nonlinear and may feature a large number of designable parameters. Therefore, it may be impractical to solve the design problem...

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  • Two examples of Quantum Dynamical Semigroups

    The Hamiltonians of the considered bi-partite systems are of the form $$ H_{S,R} = H_S /times 1_R + Q_{S} /times M_R + 1_S /times H_R $$ Subindex $S$ corresponds to the observed system and $R$ to the reservoir (the enviroment of $S$). Two classes of systems are distinguished: the discrete-continuous...

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  • Determining and verifying the safety integrity level of the controland protection systems under uncertainty

    Publication

    The probabilistic models of the electrical, electronic and programmable electronic (E/E/PE)systems, which are proposed in the IEC 61508 and IEC 61511 standards, do not cover the uncertainty aspectsof results obtained from these models. The proposed method takes into consideration the sensitivity analysisof probabilistic models of E/E/PE systems as well as the uncertainty of probabilistic results. It uses differentialfactors, which...

  • Frequency and time domain characteristics of digital control of electric vehicle in-wheel drives

    In-wheel electric drives are promising as actuators in active safety systems of electric and hybrid vehicles. This new function requires dedicated control algorithms, making it essential to deliver models that reflect better the wheel-torque control dynamics of electric drives. The timing of digital control events, whose importance is stressed in current research, still lacks an analytical description allowing for modeling its...

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  • On Symmetry of Uniform and Preferential Attachment Graphs

    Publication

    - ELECTRONIC JOURNAL OF COMBINATORICS - Year 2014

    Motivated by the problem of graph structure compression under realistic source models, we study the symmetry behavior of preferential and uniform attachment graphs. These are two dynamic models of network growth in which new nodes attach to a constant number m of existing ones according to some attachment scheme. We prove symmetry results for m=1 and 2 , and we conjecture that for m≥3 , both models yield asymmetry with high...

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  • Modele budowy wartości dla klienta - charakterystyka i rozwinięcie

    Publication

    Rozwój form realizacji biznesu umożliwił zbadanie nowych obiektów związanych z generowaniem wartości dla klienta i przedsiębiorstwa. W pracy scharakteryzowano logiki tworzenia wartości będące podstawą modeli łańcucha wartości, sklepu wartości, sieci wartości oraz chmury wartości. Zaproponowano także wprowadzenie nowego składnika do struktury tych modeli w postaci węzła wartości.

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  • Correction of far-field measurements obtained in non-anechoic test site

    Open Research Data

    The dataset contains raw and processed measurements of radiation pattern characteristics performed in non-anechoic regime for two geometrically small antenna structures: a spline-parameterized Vivaldi structure and a compact spline-based monopole. The responses have been obtained at the selected frequencies of interest as a function of mentioned structures...

  • Nonlinear strain gradient and micromorphic one-dimensional elastic continua: Comparison through strong ellipticity conditions

    Publication

    We discuss the strong ellipticity (SE) conditions for strain gradient and micromorphic continua considering them as an enhancement of a simple nonlinearly elastic material called in the following primary material. Recently both models are widely used for description of material behavior of beam-lattice metamaterials which may possess various types of material instabilities. We analyze how a possible loss of SE results in the behavior...

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  • Fundamentals of Physics-Based Surrogate Modeling

    Publication

    Chapter 1 was focused on data-driven (or approximation-based) modeling methods. The second major class of surrogates are physics-based models outlined in this chapter. Although they are not as popular, their importance is growing because of the challenges related to construction and handling of approximation surrogates for many real-world problems. The high cost of evaluating computational models, nonlinearity of system responses,...

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  • An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics

    Publication

    - Year 2019

    The speech with the Lombard effect has been extensively studied in the context of speech recognition or speech enhancement. However, few studies have investigated the Lombard effect in the context of speech synthesis. The aim of this paper is to create a mathematical model that allows for retaining the Lombard effect. These models could be used as a basis of a formant speech synthesizer. The proposed models are based on dividing...

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  • Toward Robust Pedestrian Detection With Data Augmentation

    Publication

    In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

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  • Generowanie modeli symulacyjnych na potrzeby systemu ekspertowego wspomagającego projektowanie układów automatyki statku

    Omówiono automatyczne generowanie modeli symulacyjnych na potrzeby systemu ekspertowego wspomagającego projektowanie układów automatyki statków. Na podstawie przyjętych założeń projektowych system ekspertowy zleca badania wybranych struktur podsystemów elektroenergetycznych statków. Aplikacja symulacyjna pobiera z biblioteki modele matematyczne elementów składowych struktur, a następnie zestawia modele symulacyjne, wykonuje badania...

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  • Application of different building representation techniques in HEC-RAS 2-D for urban flood modeling using the Toce River experimental case

    Publication

    This paper presents the impact of the choice of building representation techniques and hydrodynamic models on urban flood simulations using HEC-RAS 2-D for the Toce River physical model. To this end, eight numerical models based on previous laboratory experiments were prepared to simulate unsteady urban flooding on each side of building units. Two simplified building layouts (aligned and staggered) were examined, where models were...

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  • Robustness Analysis of a Distributed MPC Control System of a Turbo-Generator Set of a Nuclear Plant – Disturbance Issues

    Publication

    - Advances in Intelligent Systems and Computing - Year 2021

    Typically, there are two main control loops with PI controllers operating at each turbo-generator set. In this paper, a distributed model predictive controller with local quadratic model predictive controllers for the turbine generator is proposed instead of a set of classical PI controllers. The local quadratic predictive controllers utilize step-response models for the controlled system components. The parameters of these models...

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  • Traffic Modeling in IMS-based NGN Networks

    In the modern world the need for accurate and quickly delivered information is becoming more and more essential. In order to fulfill these requirements, next generation telecommunication networks should be fast introduced and correctly dimensioned. For this reason proper traffic models must be identified, which is the subject of this paper. In the paper standardization of IMS (IP Multimedia Subsystem) concept and IMS-based NGN...

  • Estimation of the steam condensation flow via CFD methods

    Publication

    The results of numerical simulations to predict the performance of different steam models have been presented. All of the considered models of steam condensation have been validated on the base of benchmark experiment employing expansion in nozzle and next on the low pressure part of the steam turbine stage. For numerical analysis three models have been finally used – the ideal steam model without condensation, an equilibrium steam...

  • Numerical analysis and in situ tests of the Grot Rowecki Bridge in Warsaw

    The paper presents the FEM analysis of the reconstructed the Grot-Rowecki Bridge over Vistula river in Warsaw. The bridge has seven spans and consists of two independent structures with the longest spans of 120 m. After reconstruction the bridge is over 10 m wider. The numerical, nonlinear analysis has been con-ducted on a global and local FEM models. These models are defined so as they strictly comply with global structural bridge...

  • An integrated framework for security protocol analysis

    Publication

    - Year 2008

    Assurance of security protocols needs particular attention. Flaws in a protocol can devastate security of the applications that rely on it. Analysis of the protocols is difficult and it is recommended that formal methods are employed to provide for higher levels of assurance. However, the formal methods can cover only a part of the scope of the problem. It is important that the formal models are valid representations of the protocol...

  • The distributed model predictive controller for the nuclear power plant turbo-generator set

    Publication

    Typically there are two main control loops with PI controllers operating at each turbo-generator set. In this paper a distributed model predictive controller DMPC, with local QDMC controllers for the turbine generator, is proposed instead of a typical PI controllers. The local QDMC controllers utilize step-response models for the controlled system components. These models parameters are determined based on the proposed black-box...

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  • A Note on Reduced Strain Gradient Elasticity

    Publication

    - Year 2018

    We discuss the particular class of strain-gradient elastic material models which we called the reduced or degenerated strain-gradient elasticity. For this class the strain energy density depends on functions which have different differential properties in different spatial directions. As an example of such media we consider the continual models of pantographic beam lattices and smectic and columnar liquid crystals.

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  • How to model ROC curves - a credit scoring perspective

    Publication

    - Year 2018

    ROC curves, which derive from signal detection theory, are widely used to assess binary classifiers in various domains. The AUROC (area under the ROC curve) ratio or its transformations (the Gini coefficient) belong to the most widely used synthetic measures of the separation power of classification models, such as medical diagnostic tests or credit scoring. Frequently a need arises to model an ROC curve. In the biostatistical...

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  • Numerical Analysis of Mice Carotid Arteries’ Response Emphasizing the Importance of Material Law Constants’ Validation

    In this paper, a detailed validation of the passive material properties of mice carotid arteries and constants of the Fung and Holzapfel hyperelastic material laws is conducted by means of static nonlinear FEM analyses. The response of the carotid arteries in an inflation test is studied here for the following mouse models: wild-type, mdx, sgcd−/−, Eln+/+, Eln+/−, Fbln5+/+, and Fbln5−/−. All FEM computations are conducted on models...

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  • On Reduced-Cost Design-Oriented Constrained Surrogate Modeling of Antenna Structures

    Design of contemporary antenna structures heavily relies on full-wave electromagnetic (EM) simulation models. Such models are essential to ensure reliability of evaluating antenna characteristics, yet, they are computationally expensive and therefore unsuitable for handling tasks that require multiple analyses, e.g., parametric optimization. The cost issue can be alleviated by using fast surrogate models. Conventional data-driven...

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  • Modelling of Asphalt Mixes under Long Time Creep at Low Temperatures

    Proper description of asphalt mixtures behavior under long time load is one of the most important factors in analyses of strain and stress relations at low temperatures both from traffic and environmental loads. For example different models of thermal stress accumulation require different approaches of description of asphalt concrete. But in all cases it is required to describe its behavior under long time loading, which in some...

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  • International Trade winter 2022

    e-Learning Courses
    • A. Parteka

    Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of international trade. During the lectures we will cover patterns of international trade, main models of international trade and topics related to trade policy. During labs students will analyze current issues concerning trade flows in globalized world economy.

  • International Trade - winter 2023

    e-Learning Courses
    • Z. H. Zarach
    • A. Parteka

    Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of international trade. During the lectures we will cover patterns of international trade, main models of international trade and topics related to trade policy. During labs students will analyze current issues concerning trade flows in globalized world economy.

  • Markov Model of Disease Development and Recovery

    Publication

    - Year 2016

    Markov models are commonly used to simulate diseases and allow modeling of multiple health states and outcomes. Starting with the well known Le Bras multistate model (cascading failure model) with time-independent transitions we will see how simple Markov mortality models may be pressed into the service of survival and event history analysis. We will focus on more complex models which will be able to take into account remission,...

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  • Determination of flow properties of a pneumatic hose from changes in air pressure in a tank being emptied or filled by a differently configured pneumatic line

    Open Research Data
    open access

    The aim of the study was to determine the flow properties of various pneumatic hoses. The experiments were to measure the pressure changes in a being filled or emptied tank for a differently configured pneumatic line, including pneumatic hoses of different length and diameter. Three test configurations were used: (1) pressure source -> pneumatic...

  • Radiation pattern measurements of geometrically small antennas performed in non-anechoic environments

    Open Research Data

    The dataset contains unprocessed measurements of radiation pattern characteristics performed in non-anechoic regime for three geometrically small antenna structures: a spline-parameterized Vivaldi structure, a compact spline-based monopole, and a quasi-Yagi geometry with enhanced bandwidth. The responses have been obtained over broad frequency ranges...

  • Measurements of electrically small antenna radiation patterns in non-anechoic environments using TGM

    Open Research Data
    open access

    The dataset contains raw and processed measurements of radiation pattern characteristics performed in non-anechoic regime for four antenna structures: a spline-parameterized Vivaldi structure, a compact spline-based monopole, super-ultrawideband antenna, and a quasi-Yagi component. The responses have been obtained at the selected frequencies of interest...

  • Michał Bernard Pietrzak dr hab.

              Michal Pietrzak is head of the Department of Statistics and Econometrics at the Faculty of Economics and Management, Gdańsk University of Technology, and Deputy Editor-in-Chief for Statistical Reviewing of the journals: Oeconomia Copernicana and Equilibrium. Quarterly Journal of Economics and Economic Policy. Until October 2021, he worked as an associate professor at the Faculty of Economic Sciences and Management, Nicolaus...

  • FEM approach to modeling of an irregular trabecular structure

    Publication

    - Year 2018

    The aim of the study is elaboration of a method for creating irregular scaffolds that can be used to model the behaviour of trabecular bone placed in the proximal epiphysis of the femur. The scope of the study encompasses creating six numerical models of irregular scaffolds (two solid irregular scaffolds, two shell irregular scaffolds and two shell irregular scaffolds with fortification) and performing numerical analysis of the...

  • CAD Introduction (2023/24)

    e-Learning Courses
    • D. Cyparski

    The course aim is to demonstrate the application of Computer Aided Design in preparation of architectural drawings and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations using 2D drawings and 3D models created in AutoDesk AutoCAD and other programs.

  • Estimation of the Ultimate Strength of FRP Strips-to-Masonry Substrates Bond

    Publication

    - Applied Sciences-Basel - Year 2023

    Fiber-Reinforced Polymers (FRP) were developed as a new method over the past decades due to their many beneficial mechanical properties, and they are commonly applied to strengthen masonry structures. In this paper, the Artificial Neural Network (ANN), K-fold Cross-Validation (KFCV) technique, Multivariate Adaptive Regression Spline (MARS) method, and M5 Model Tree (M5MT) method were utilized to predict the ultimate strength of...

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  • LNG TANK IN ŚWINOUJŚCIE: NONLINEAR ANALYSIS OF THE TANK DOME ELEMENTS BEHAVIOUR

    Publication

    In this paper, the dome of a tank in the Świnoujście LNG terminal is analysed. Some of the rafter ribs at the connection with hangers were not mounted during construction of the tank dome. Therefore, it has become necessary to estimate its response, which has been done with the aid of some computational models of the dome, that have been created in the finite element method environment. Different local models are studied, aiming...

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  • Modelling of the High Speed Multi-Pole Synchronous Generator for Application in More Electric Aircraft Power Systems

    Publication

    In this paper different models of the synchronous generator are presented. The simulation results compared with the measurements are shown. Certain physical phenomena are included in described models for the porpoise of adequate analysis of the more electric aircraft power system. For different modelling levels, such as functional level or behavioural level, different physical phenomena have been included. Simulation results for...

  • Remarks on steam condensation modeling related to steam turbine large output

    Publication

    - Year 2011

    In the paper numerical simulations have been performed to predict the performance of the diferent steam models. All of the considered models of steam condensation have been validated on the base of benchmark experiment employing expansion in nozzle and next on the low pressure part of the steam turbine equipped with the so-called Baumann stage. For numerical analysis three models have been finally used - the ideal steam model without...

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

    Publication

    - Year 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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  • Timber Frame Houses with Different Insulation Materials - Seismic Analysis

    Publication

    The aim of this article is to present results of a dynamic numerical analysis focused on the response of two timber frame building structures exposed to seismic excitations. The first structure was insulated with mineral wool, while the second one with polyurethane foam. Specifications and technology involved in the models' construction are based on the previously conducted experimental study, upon which numerical structural models...

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  • Restricted open shop scheduling

    In the real applications the open shop scheduling models often require some additional constraints and adequate models. We concern the restrictions in the open shop scheduling related to an instance of the problem and to a feasible solution. Precisely, we require that each jobs consists of the bounded number of operations and each machine has a bounded load (i.e., the total number of operations executed on this machine in a schedule)....

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  • Maszyny elektryczne wokół nas. Poszukiwanie dróg do nauczania na kierunku Elektrotechnika Politechniki Gdańskiej = Electrical machines around us. searching for teaching ways at electrical engineering of the Gdansk University of Technology

    Streszczenie angielskie: This paper provides a summary of the didactic assumptions, goals and approach concerning the syllabus and description/modelling of electrical machines (EM) for teaching in the field of power electrical engineering at the Gdansk University of Technology. They have been used to write e-text book entitled "Electrical machines around us" that covered the lectures on electrical machines given for the second...

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  • ARIMA vs LSTM on NASDAQ stock exchange data

    Publication

    - Procedia Computer Science - Year 2022

    This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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

    Publication
    • 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... and 103 others

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Year 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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  • New technologies and diffusion of innovative financial products: Evidence on exchange-traded funds in selected emerging and developed economies

    Publication

    Exchange-traded funds (ETFs) are one of the most rapidly-expanding categories of innovative financial products that have been introduced on many financial markets, in both emerging and developed economies. Our research contributes to the present state of knowledge by examining factors, including information and communication technologies (ICTs), influencing the diffusion of ETFs. In our research, we consider also the impact of...

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  • Robust and Efficient Machine Learning Algorithms for Visual Recognition

    Publication

    - Year 2022

    In visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...

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  • Predicting bankruptcy with the use of macroeconomic variables

    Regarding the current global financial crisis, the firms can expect the increased uncertainty of their existence. The relevant literature includes extensive studies on bankruptcy prediction. Studies show that the most popular method used for prediction of firms' failures are discriminant analyses (30,3% of all models), then logit and probit models (21,3%), which all three are parametric models. The nature, the structure of the...

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  • A SHORT REVIEW OF BLOOD FLOW MODELLING METHODS: FROM MACRO- TO MICROSCALES

    Publication

    The aim of this paper it to review various scale approaches to the blood flow modelling. Blood motion may be described by three types of mathematical models according to the observed scales or resolutions, namely microscopic, mesoscopic and macroscopic descriptions. The above approaches are discussed together with their advantages and disadvantages. Several results of mesoscopic simulations are presented with particular attention...

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  • Modele numeryczne uwzględniające tarczową pracę pokrycia dachowego z blach trapezowych

    W artykule porównano wybrane sposoby uwzględniania w modelowaniu numerycznym tarczowej pracy pokrycia dachowego z blachy trapezowej, możliwe do zrealizowania w programie Autodesk Robot Structural Analysis Professional 2015, w celu oceny słuszności stosowania ich do obliczeń konstrukcji nośnej współpracującej z poszyciem z blachy trapezowej. Analizy przeprowadzono dla pojedynczej przepony. Za pomocą powłokowych elementów skończonych...

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  • Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks

    Publication

    - Year 2022

    Fifth-generation and Beyond (5GB) wireless networks have introduced new centralized architectures such as cloud radio access network (CRAN), which necessitate extremely high-capacity low latency Fronthaul (FH). CRAN has many advantageous features in terms of cost reduction, performance enhancement, ease of deployment, and centralization of network management. Nevertheless, designing and deploying a cost-efficient FH is still a...

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  • Some Introductory and Historical Remarks on Mechanics of Microstructured Materials

    Publication

    - Year 2018

    Here we present few remarks on the development of the models of microstuctured media and the generalized continua.

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  • Experimental and numerical analysis of wave propagation in ground anchors

    Publication

    - Year 2016

    The article focuses on wave propagation phenomenon in ground anchors. The main aim of the investigation is the non-destructive diagnostics and the assessment of the state of ground anchors, using the guided wave propagation method. Laboratory models of anchors with different lengths of the anchor body were tested and voltage signals of propagating waves were registered at several locations. For all tested specimens corresponding...

  • Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation

    Publication

    - Remote Sensing - Year 2019

    Autonomous navigation is an important task for unmanned vehicles operating both on the surface and underwater. A sophisticated solution for autonomous non-global navigational satellite system navigation is comparative (terrain reference) navigation. We present a method for fast processing of 3D multibeam sonar data to make depth area comparable with depth areas from bathymetric electronic navigational charts as source maps during...

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  • Improving performance of large thrust bearings through modeling and experimentation

    Large thrust bearings are highly loaded machine elements and their failures cause serious losses. Start ups and stoppages of the bearing under load are specially critical regimes of operation. Load carrying capacity depends on the profile of the oil gap. In transient states this profile is also changing. In the design of large thrust bearings minimizing thermo-elastic deformations is an important goal, which can be accomplished...

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  • High-Resolution Discharge Forecasting for Snowmelt and Rainfall Mixed Events

    Publication

    Discharge events induced by mixture of snowmelt and rainfall are strongly nonlinear due to consequences of rain-on-snow phenomena and snowmelt dependence on energy balance. However, they received relatively little attention, especially in high-resolution discharge forecasting. In this study, we use Random Forests models for 24 h discharge forecasting in 1 h resolution in a 105.9 km 2 urbanized catchment in NE Poland: Biala River....

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  • On dynamics of origami-inspired rod

    Publication

    We discuss the dynamics of a relatively simple origami-inspired structure considering discrete and continuum models. The latter was derived as a certain limit of the discrete model. Here we analyze small in-plane deformations and related equations of infinitesimal motions. For both models, dispersion relations were derived and compared. The comparison of the dispersion relations showed that the continuum model can capture the behavior...

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  • Timber frame houses resistant to dynamic loads - seismic analysis

    The aim of the article is to present results of seismic analysis results of two real-sized timber frame buildings subjected to seismic excitations. The first model was insulated with mineral wool, the second one with polyurethane foam. Technology and specifications involved in both models construction is based on the previously conducted experimental research on timber frame houses, including wall panels tests, wall numerical models...

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  • Simulation model of IMS/NGN call processing performance

    In current telecommunications it is assumed that demands of the information society for quickly delivered services will be satisfied by the Next Generation Network (NGN) architecture, which includes IP Multimedia Subsystem (IMS) elements. To guarantee Quality of Service (QoS), proper design and dimensioning of NGN is absolutely necessary, for which appropriate models have to be proposed. As the NGN architecture is very complicated,...

  • Message Inter-Arrival and Inter-Departure Time Distributions in IMS/NGN Architecture

    Publication

    - Year 2012

    Currently is it assumed that requirements of the information society for delivering multimedia services will be satisfied by the Next Generation Network (NGN) architecture, which includes elements of the IP Multimedia Subsystem (IMS) solution. In order to guarantee Quality of Service (QoS), NGN has to be appropriately designed and dimensioned. Therefore, proper traffic models should be proposed and applied. This requires determination...

  • Simulation model for assessment of IMS-based NGN call processing performance

    Publication

    In current telecommunications it is assumed that demands of information society for quickly delivered services will be satisfied by Next Generation Network (NGN) architecture, which includes IP Multimedia Subsystem (IMS) elements. To guarantee Quality of Service (QoS), proper design and dimensioning of NGN is absolutely necessary, for which appropriate models have to be proposed. As NGN architecture is very complicated, the most...

  • Numerical Study of Concrete Mesostructure Effect on Lamb Wave Propagation

    Publication

    - Materials - Year 2020

    The article presents the results of the numerical investigation of Lamb wave propagation in concrete plates while taking into account the complex concrete mesostructure. Several concrete models with randomly distributed aggregates were generated with the use of the Monte Carlo method. The influence of aggregate ratio and particle size on dispersion curves representing Lamb wave modes was analyzed. The results obtained for heterogeneous...

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  • The role of numerical tests in assessing road restraint system functionality

    Key to understanding the needs and building road infrastructure management tools to prevent and mitigate run-off-road accidents is to identify hazards and their sources which are a result of wrong design, construction, and installation of road restraint systems. Building such tools requires advanced studies with field tests, simulations and models to demonstrate the effects of selected parameters on road user safety. The research...

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  • Problems of modelling toxic compounds emitted by a marine internal combustion engine in unsteady states

    Publication

    Contemporary engine tests are performed based on the theory of experiment. The available versions of programmes used for analysing experimental data make frequent use of the multiple regression model, which enables examining effects and interactions between input model parameters and a single output variable. The use of multi-equation models provides more freedom in analysing the measured results, as those models enable simultaneous...

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  • Tomasz Korol dr hab. inż.

    Education Gdańsk University of Technology, Faculty of Management and Economics (2001) University of Applied Sciences Stralsund (1999) Degree / scientific title Habilitation – Gdańsk University of Technology, Faculty of Management and Economics (2015) Ph.D. – Gdańsk University of Technology, Faculty of Management and Economics (2004) Employment Gdańsk University of Technology - associate professor (since 2017); assistant professor...

  • Burnout as a State: Random-Intercept Cross-Lagged Relationship Between Exhaustion and Disengagement in a 10-Day Study

    Publication

    Background: Burnout has been traditionally seen as a chronic and stable state in response to prolonged stress. However, measures of momentary burnout are not well established, even though the within-person approach suggests that the symptoms of burnout may vary from day to day for the same employee. The aim of this study is to examine the daily inter- and intra-personal variability of the symptoms of burnout and the cross-lagged relationship...

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  • On–line Parameter and Delay Estimation of Continuous–Time Dynamic Systems

    The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by ordinary differential equations. Discrete-time mechanizations of continuous-time process models are implemented with the use of dedicated finite-horizon integrating filters. Least-squares and instrumental variable procedures mechanized in recursive forms are applied for simultaneous...

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  • Path Loss Modelling in the Untypical Outdoor Propagation Environments

    Publication

    In the paper three ways of path loss modelling in the untypical outdoor environments are presented. The exemplary untypical outdoor environment is analyzed. The investigated environment is characterized, and the measurement campaign are shortly described. The following models have been analyzed: the COST231 Walfisch-Ikegami model, the modified COST231Walfisch-Ikegami model tuned on the basis of empirical data, and the empirical...

  • EXPERIMENTS AND SIMULATIONS FOR LAPAROSCOPICVENTRAL HERNIA REPAIR IMPROVEMENT

    The authors conducted a wide experimental and numerical study in order to determine effective approaches in the laparoscopic VH repair. At first the study covered identification of mechanical properties of the abdominal fascia, implants, tacks and transabdominalsutures. Basis on these data, the one and two-dimensional mathematical models were formulated and a number of numerical static and dynamic analyses were carried out. Then...

  • Quality of service in optical burst switched networks

    In the paper analytical models of two service differentiation schemes for optical burst switched network: extended offset time based and PPS (Preemptive Priority Scheme) are revised. Also accordance of analytical models for those schemes is studied when complete class isolation is assumed. Furthermore authors introduce an analytical model which describes an effective degree of isolation when burst switched network employs both...

  • Quality of service in optical burst switched networks

    Publication

    In the paper analytical models of two service differentiation schemes for optical burst switched network: extended offset time based and PPS (Preemptive Priority Scheme) are revised. Also accordance of analytical models for those schemes is studied when complete class isolation is assumed. Furthermore authors introduce an analytical model which describes an effective degree of isolation when burst switched network employs both...

  • New Tool for Examining QoS in the VToIP Service

    Publication

    This paper is dedicated to the subject of measuring QoS in the Video Telephony over IP (VToIP) service. QoS measurement models in general and then models designed specifically for measuring QoS in the VToIP service are presented. A new numerical tool for examining the quality of VToIP video streams VToIP is described. The tool’s functionality is then put to the test in a number of analysis scenarios. The results and insights gained...

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  • Simulation of perovskite-based CuI/CH3NH3PbI3/TiO2 solar cell performance

    Open Research Data
    open access

    The presented data set is part of the theoretical research on novel thin-layer lead-halide perovskite solar cells with different inorganic transparent conductive oxides used as charge transport layers. In this study CuI/CH3NH3PbI3/TiO2 model structure (Model 1) was investigated by the use of the SCAPS-1D simulation method (https://scaps.elis.ugent.be/). 

  • Simulation of perovskite-based CuI/CH3NH3PbI3/SnO2 solar cell performance

    Open Research Data
    open access

    The presented data set is part of the theoretical research on novel thin-layer lead-halide perovskite solar cells with different inorganic transparent conductive oxides used as charge transport layers. In this study CuI/CH3NH3PbI3/SnO2 model structure (Model 2) was investigated by the use of the SCAPS-1D simulation method (https://scaps.elis.ugent.be/). 

  • Simulation of perovskite-based CuI/CH3NH3PbI3/ZnO solar cell performance

    Open Research Data
    open access

    The presented data set is part of the theoretical research on novel thin-layer lead-halide perovskite solar cells with different inorganic transparent conductive oxides used as charge transport layers. In this study CuI/CH3NH3PbI3/ZnO model structure (Model 3) was investigated by the use of the SCAPS-1D simulation method (https://scaps.elis.ugent.be/). 

  • The effect of road restraint systems on the level of road safety - Polish experience

    Publication

    Roadside accidents happen when a vehicle runs off the road. The majority of these accidents are very severe because leaving the road is usually followed by hitting a solid obstacle (tree, pole, support, culvert front wall, barrier). Roadsides are some of the most important issues of road safety. They have been studied for years to identify roadside hazards and the effectiveness of road safety measures such as restraint systems....

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  • Jerzy Konorski dr hab. inż.

    Jerzy Konorski received his M. Sc. degree in telecommunications from Gdansk University of Technology, Poland, and his Ph. D. degree in computer science from the Polish Academy of Sciences, Warsaw, Poland. In 2007, he defended his D. Sc. thesis at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He has authored over 150 papers, led scientific projects funded by the European Union,...

  • Data-driven, probabilistic model for attainable speed for ships approaching Gdańsk harbour

    Publication

    The growing demand for maritime transportation leads to increased traffic in ports. From this arises the need to observe the consequences of the specific speed ships reach when approaching seaports. However, usually the analyzed cases refer only to the statistical evaluation of the studied phenomenon or to the empirical modelling, ignoring the mutual influence of variables such as ship type, length or weather conditions. In this...

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  • Modeling of entrained flow steam gasification of sewage sludge

    Publication
    • J. Mularski
    • K. Stasiak
    • M. Ostrycharczyk
    • M. Czerep
    • M. Wnukowski
    • K. Krochmalny
    • M. Baranowski
    • P. Ziółkowski
    • M. Kowal
    • Ł. Niedźwiecki... and 2 others

    - Year 2023

    Proper management of sewage sludge becomes increasingly problematic due to legal requirements aiming at diminishing environmental impact, as well as rationalizing the utilization from the point of view of logistics. Steam gasification of sewage sludge can result in very good quality of the producer gas. So far, the works have been focused on the gasification in fixed bed gasifiers. However, this does not allow to take full advantage...

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  • Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling

    Publication

    Symbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of an- alyzing musical information or signals. In this paper, we propose a family of probabilistic symbolic polyphonic pitch models, which account for both the “horizontal” and the “vertical” pitch struc- ture. These models are formulated as linear or log-linear interpo- lations of up to fi ve sub-models, each of which is...

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  • Modelling the time-dependent behaviour of soft soils

    Time-dependence of soft soils has already been thoroughly investigated. The knowledge on creep and relaxation phenomena is generally available in the literature. However, it is still rarely applied in practice. Regarding the organic soils, geotechnical engineers mostly base their calculations on the simple assumptions. Yet, as presented within this paper, the rate-dependent behaviour of soft soils is a very special and important...

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  • Modelowanie podziału zadań przewozowych w obszarach zurbanizowanych

    Publication

    - Year 2018

    Niniejsza rozprawa doktorska dotyczy problematyki modelowania podziału zadań przewozowych w procesie modelowania podróży. Wykonane analizy wykazały zasadność zastosowania dodatkowych czynników w modelowaniu wyboru środka transportu z uwagi na ich istotny wpływ na jakość modelu dla wybranych motywacji podróży. W pracy zawarto przykładowe modele uwzględniające każdy z analizowanych czynników. Z wykorzystaniem badań heurystycznych...

  • Aravind Ayyolath

    People

    I am interested in the biology of bacterial stress response and its growth under stress conditions. Our lab focuses on two aspects; protein folding and lipopolysaccharide biosynthesis and we address them with Escherichia coli models. Our recent studies have provided more evidence regarding several genes involved in the survival of bacteria under stress. I am also interested in disease biology and also in identifying proper therapeutic...

  • Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks

    Publication

    The presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....

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  • Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

    Publication
    • A. Kryshtafovych
    • J. Moult
    • W. M. Billings
    • D. Della Corte
    • K. Fidelis
    • S. Kwon
    • K. Olechnovič
    • C. Seok
    • Č. Venclovas
    • J. Won... and 79 others

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Year 2021

    Critical Assessment of Structure Prediction (CASP) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV-2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on...

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  • Application of fracture mechanics for energetic effects predictions while wood sawing

    Publication

    - Year 2011

    In the classical approach, energetic effects (cutting forces and cutting power) of wood sawing process are generally calculated on the basis of the specific cutting resistance, which is in the case of wood cutting the function of more or less important factors. On the other hand, cutting forces (power) could be considered from a point of view of modern fracture mechanics. Cutting forces may be employed to determine not only toughness...

  • Approximation of Message Inter-Arrival and Inter-Departure Time Distributions in IMS/NGN Architecture Using Phase-Type Distributions

    Currently it is assumed that requirements of the information society for delivering multimedia services will be satisfied by the Next Generation Network (NGN) architecture, which includes elements of the IP Multimedia Subsystem (IMS) solution. In order to guarantee Quality of Service (QoS), NGN has to be appropriately designed and dimensioned. Therefore, proper traffic models should be proposed and applied. This requires determination...

    Full text available to download

  • ADT in mammography

    Publication

    We discuss limitations of the known methods of IR imaging in diagnostics of breast cancer. In conclusion we show that for practical reasons one requires new approaches because the known methods based on simple observation of external temperature distribution are not fully effective. Even advanced pattern recognition could not help too much for static images. We ask the question: may active dynamic thermography, known in nondestructive...

  • Dobór parametrów silnika indukcyjnego dużej mocy

    W artykule przedstawiono trzy typy statycznych modeli matematycznych silników klatkowych oraz metodę estymacji parametrów, przy wykorzystaniu algorytmów genetycznych. Korzystając z kryteriów: suma kwadratów, suma wartości bez-względnych oraz całkowego, oceniono przydatność badanych modeli. Opracowane modele matematyczne zostały wykorzystane przy doborze algorytmów sterownia sterów strumieniowych. Po-kazano metodykę doboru parametrów...