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Smart experience engineering to support collaborative design problems based on constraints modelling
PublikacjaEngineering design is a knowledge intensive process. Experts' experiences from different product life-cycle stages play a key role in problem solving during design decision making by linking up knowledge to find better solutions for a specific design problem. Different approaches have been used to support Collaborative and Concurrent Product Design, such as Constraint Satisfaction Problem (CSP) modelling. Additionally, due to the...
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Time domain model of the resonance-based electromagnetic pulses emission system
PublikacjaIn the literature, the emission properties of the electromagnetic field pulse systems based on high voltage antennas (HVR) have been widely described. In order to increase the emission efficiency by extending duration and increasing amplitude of the impulse it is possible to use a resonance system tuned to the parameters of the signal shaped in the pulse forming circuit. The synthesis of a time-domain simulation model of a complex...
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A simplified energy dissipation based model of heat transfer for post-dryout flow boiling
Publikacjamodel for post dryout mist flow heat transfer is presented based on considerations of energy dissipation in the flow. The model is an extension of authors own model developed earlier for saturated and subcooled flow boiling. In the former version of the model the heat transfer coefficient for the liquid singlephase convection as a reference was used, due to the lack of the appropriate model for heat transfer coefficient for the...
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Knowledge management based on formal models of software project management
PublikacjaCelem pracy jest prezentacja kompletnej koncepcji systemów wspierania decyzji w zarządzaniu projektami informatycznymi. Pomysł oparty jest na dynamicznych i samo nastrajających się modelach regułowo-rozmytych. W szczególności proponowane podejście wykorzystuje koncepcje metodologii opartych wiedzy oraz teorii układów dynamicznych oraz zbiorów rozmytych. Zastosowania tego opracowania znajdują się w obszarze wytwarzania produktów...
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Properties of control systems based on nonlinear models of the induction motor.
PublikacjaW artykule przedstawiono zastosowanie obserwatora prędkości kątowej wirnika silnika indukcyjnego w nielinowych układach regulacji. Porównano dwa typy układów sterowania multiskalarnego. Przedstawiono przypadek niestabilnej pracy układu nieliniowego sterowania za pomocą symulacji komputerowej.W artykule przedstawiono dwa układy sterowania silnikiem asynchronicznym klatkowym, zasilanym z falownika napięcia, oparte na modelu multiskalarnym,...
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Spatiotemporal random field models in vibration-based diagnosis of structures.
PublikacjaW pracy przedstawiono nowe podejscie do diagnostyki dynamicznejkonstrukcji w zakresie modelowania stochastycznego.Glownymzalozeniem jest losowosc parametrow konstrukcji(wlasnoscimaterialowe,geometryczne i warunki brzegowe}.Wlasnosci te samodelowane jako czasoprzestrzenne pola losowe drugiego rzedu.Zdefiniowano stochastyczne indeksy uszkodzenia konstrukcji.
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Neural networks based NARX models in nonlinear adaptive control
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Evaluation of Foundation Input Motions Based on Kinematic Interaction Models
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Detecting evoked potentials with SVD and ICA BASED statistical models
PublikacjaDokonano porównania rezultatów detekcji potencjałów wywołanych przy zastosowaniu metod statystycznych SVD i ICA. Jako dane wejściowe użyto dane wynikowe addytywnego modelu aktywności elektrycznej mózgu.
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Sensitivity of binomial N‐mixture models to overdispersion: The importance of assessing model fit
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A Taxonomy of Model-Based Testing for Embedded Systems from Multiple Industry Domains
PublikacjaThis chapter provides a taxonomy of Model-Based Testing (MBT) based on the approaches that are presented throughout this book as well as in the related literature. The techniques for testing are categorized using a number of dimensions to familiarize the reader with the terminology used throughout the chapters that follow. In this chapter, after a brief introduction, a general definition of MBT and related work on available MBT...
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Model-free and Model-based Reinforcement Learning, the Intersection of Learning and Planning
PublikacjaMy doctoral dissertation is intended as the compound of four publications considering: structure and randomness in planning and reinforcement learning, continuous control with ensemble deep deterministic policy gradients, toddler-inspired active representation learning, and large-scale deep reinforcement learning costs.
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NUMERICAL MODEL QUALITY ASSESSMENT OF OFFSHORE WIND TURBINE SUPPORTING STRUCTURE BASED ON EXPERIMENTAL DATA
PublikacjaAs a structure degrades some changes in its dynamical behavior can be observed, and inversely, observation and evaluation of these dynamical changes of the structure can provide information of structural state of the object. Testing of the real structure, besides of being costly, can cover only limited working states. It is particularly considerable in case of hardly accessible, and randomly/severely dynamically loaded offshore...
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Parametric impulsive noise detector for corrupted audio signals based on hidden Markow model
PublikacjaThe paper addresses the problem of impulsive noise detection for audio signals. A structure of threshold parameter detectors using modelingof signals was introduced. the algorithm of the noise detection, based on discrete-time hidden Markow model (HMM)of whitened audio signal is elaborated
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On dynamic modeling of piezomagnetic/flexomagnetic microstructures based on Lord–Shulman thermoelastic model
PublikacjaWe study a time-dependent thermoelastic coupling within free vibrations of piezomagnetic (PM) microbeams considering the flexomagnetic (FM) phenomenon. The flexomagneticity relates to a magnetic field with a gradient of strains. Here, we use the generalized thermoelasticity theory of Lord–Shulman to analyze the interaction between elastic deformation and thermal conductivity. The uniform magnetic field is permeated in line with...
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Switched-capacitor DC-DC converters in arbitrary switching mode - topologically derived resistive models based on incremental graph approach.
PublikacjaIn the preceding paper we reviewed some of modeling approaches aimed at systematic formulation and solution of switched capacitor DC-DC converters. In our review, special attention was paid to computationally efficient and mathematically elegant methods. In so doing we had tried to demonstrate the virtues of unified Incremental Graph (IG) approach. Incremental Graph is, in concept, a tool originally created for analysis and synthesis...
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High-resolution fire danger forecast for Poland based on the Weather Research and Forecasting Model
PublikacjaDue 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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Smart Innovation Engineering (SIE): Experience-Based Product Innovation System for Industry 4.0
PublikacjaThis paper presents a semi-automatic system capable of facilitating product innovation process. This system, known as Smart Innovation Engineering (SIE) system, helps in decision-making by using the explicit knowledge of formal decision events. The SIE system carries the promise to support the innovation processes of manufactured products in a quick and efficient way. It stores and reuses the past decisional events or sets of experiences...
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Smart modeling support for managing complexities and dynamics of knowledge-based systems - part 2
PublikacjaPrzedstawiono i poddano analizie najnowsze trendy w zakresie kierunków badań dotyczących inteligentnego wspomagania zarządzania dynamiką i kompleksowością systemów opartych na wiedzy.
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A mathematical model of rheological behavior of novel bio-based isocyanate-terminated polyurethane prepolymers
PublikacjaIn this paper, the results of rheological study on isocyanate-terminated polyurethane prepolymers, containing modified soybean oil residues incorporated into the chemical structure are described. Isocyanate-terminated prepolymers were synthesized from 4,4′-diphenylmethane diisocyanate and the mixture of hydroxylated soybean oil and commercial polyether. The measurements were performed by using rotary rheometer R/S-CPS+ (Brookfield,...
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Automatic Identification System (AIS) Dynamic Data Integrity Monitoring and Trajectory Tracking Based on the Simultaneous Localization and Mapping (SLAM) Process Model
PublikacjaTo enhance the safety of marine navigation, one needs to consider the involvement of the automatic identification system (AIS), an existing system designed for ship-to-ship and shipto- shore communication. Previous research on the quality of AIS parameters revealed problems that the system experiences with sensor data exchange. In coastal areas, littoral AIS does not meet the expectations of operational continuity and system availability,...
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Reduced-Cost Microwave Design Closure by Multi-Resolution EM Simulations and Knowledge-Based Model Management
PublikacjaParameter adjustment through numerical optimization has become a commonplace of contemporary microwave engineering. Although circuit theory methods are ubiquitous in the development of microwave components, the initial designs obtained with such tools have to be further tuned to improve the system performance. This is particularly pertinent to miniaturized structures, where the cross-coupling effects cannot be adequately accounted...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublikacjaLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Monitoring the gas turbine start-up phase on the platform using a hierarchical model based on Multi-Layer Perceptron networks
PublikacjaVery often, the operation of diagnostic systems is related to the evaluation of process functionality, where the diagnostics is carried out using reference models prepared on the basis of the process description in the nominal state. The main goal of the work is to develop a hierarchical gas turbine reference model for the estimation of start-up parameters based on multi-layer perceptron neural networks. A functional decomposition...
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Model Management for Low-Computational-Budget Simulation-Based Optimization of Antenna Structures Using Nature-Inspired Algorithms
PublikacjaThe primary objective of this study is investigation of the possibilities of accelerating nature-inspired optimization of antenna structures using multi-fidelity EM simulation models. The primary methodology developed to achieve acceleration is a model management scheme which the level of EM simulation fidelity using two criteria: the convergence status of the optimization algorithm, and relative quality of the individual designs...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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Customization of UWB 3D-RTLS Based on the New Uncertainty Model of the AoA Ranging Technique
PublikacjaThe increased potential and effectiveness of Real-time Locating Systems (RTLSs) substantially influence their application spectrum. They are widely used, inter alia, in the industrial sector, healthcare, home care, and in logistic and security applications. The research aims to develop an analytical method to customize UWB-based RTLS, in order to improve their localization performance in terms of accuracy and precision. The analytical...
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Properties of sensorless control systems based on multiscalar models of the induction motor
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Optimization of river network representation data models for web-based systems
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Properties of sensorless control systems based on multiscalar models of the induction motors
PublikacjaCelem artykułu jest opracowanie ogólnych postaci multiskalarnych modeli silnika indukcyjnego i zaprezentowanie właściwości bezczujnikowych układów regulacji opartych na takich modelach. Poprzednio prezentowane modele multiskalarne silnika indukcyjnego oparte na wykorzystaniu wektorów prądu stojana i strumienia wirnika zostły uogólnione jako model typu 1. Nowy model typu 2 zdefiniowany został dla wektora prądu stojana i innego wektora...
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Design and experimental evaluation of pod propulsor models for a large self-propelled ship model.
PublikacjaArtykuł przedstawia serię hydrodynamicznych badań swobodnych dwóch modeli pędnika podowego. Pędniki zostały zaprojektowane i zbudowane specjalnie dla dwóch wersji dużego modelu okrętu z własnym napędem, przeznaczonego do eksperymentów manewrowych. Jedna wersja jest napędzana pojedyńczym pędnikiem, druga jest wyposażona w dwa pędniki. Oba modele podów były badane w kanale obiegowym. Celem eksperymentu były pomiary sześciu składowych...
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Lattice filter based autoregressive spectrum estimation with joint model order and estimation bandwidth adaptation
PublikacjaThe problem of parametric, autoregressive model based estimation of a time-varying spectral density function of a nonstationary process is considered. It is shown that estimation results can be considerably improved if identification of the autoregressive model is carried out using the two-sided doubly exponentially weighted lattice algorithm which combines results yielded by two one-sided lattice algorithms running forward in...
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Model-Based Adaptive Machine Learning Approach in Concrete Mix Design
PublikacjaConcrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete...
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A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems
PublikacjaThe paper presents a new model of ship collision risk, which utilises a ship domain concept and the related domain-based collision risk parameters. An encounter is here described by five variables representing: degree of domain violation (DDV), relative speed of the two vessels, combination of the vessels’ courses, arena violations and encounter complexity. As for the first three variables, their values can be directly computed...
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A Model-Based Improved Control of Dissolved Oxygen Concentration in Sequencing Wastewater Batch Reactor
PublikacjaBiochemical processes at wastewater treatment plant are complex, nonlinear, time varying and multivariable. Moreover, relationships between processes are very strong. One of the most important issues is exerting proper control over dissolved oxygen levels during nitrification phase. This parameter has a very large impact on activity of microorganisms in activated sludge and on quality of pollution removal processes. Oxygen is supplied...
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Stable indirect adaptive control based on discrete-time T-S fuzzy model
PublikacjaThis paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants.A discrete-time T-S fuzzy input-output model is employed to approximate the unknown plant dynamics. The T-S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearization control law is designed by using...
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Stable indirect adaptive control based on discrete-time T-S fuzzy model
PublikacjaThis paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants.A discrete-time T-S fuzzy input-output model is employed to approximate the unknown plant dynamics. The T-S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearization control law is designed by using...
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A model-based approach to analysis of authentication protocols.
PublikacjaW referacie przedstawiono zintegrowane podejście do analizy protokołów uwierzytelniania o nazwie Object-oriented Formal Authentication Protocol Security Analysis Framework (OF-APSAF). Podejście to jest zaprojektowane na bazie sprawdzonej metody formalnej CSP wraz z narzędziami ją wspierającymi: Casper oraz FDR. Jego integralną częścią jest półformalna zorientowana obiektowo technika modelowania protokołów, ich kontekstu oraz wymagań...
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A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublikacjaComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
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Smart Virtual Product Development (SVPD): Experience Based Product Development System for Industry 4.0
PublikacjaThis chapter presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development. It enhances the decision making process during various activities involved in product development i.e. product design, manufacturing, and inspection planning. This is achieved by using the explicit knowledge of past formal decision events, which are captured, stored, and recalled in the form...
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Editorial: smart modeling support for managing complexities and dynamics of knowledge-based systems-part 1
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Power Surge Compensator based on a Four Level Diode Clamped Inverter for ship application. Average model
PublikacjaPaper presents continuous average value model of Power Surge Compensator based on a Four Level Diode Clamped Inverter with super capacitor as a energy storage device. This conditioner is design for power surge or fluctuation elimination, by compensating it with energy stored in ESD. Continuous average value model of multilevel S-PWM has been presented also. Summary of raised problem is a simulation model made in PowerSim Psim 8...
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A dynamic vehicle-bridge model based on the modal identification results of an existing EN57 train and bridge spans with non-ballasted tracks
PublikacjaThis paper addresses the methodology of the bridge-vehicle dynamic model definition based on the free response measurements of an existing train and existing bridge spans. In the case of the railway vehicle, the methodology uses the impulse excitations of a single car by means of the wedge method. In the case of the bridge spans, free responses are collected after the passages of trains. The global modal parameters (frequencies...
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Lattice filter based multivariate autoregressive spectral estimation with joint model order and estimation bandwidth adaptation
PublikacjaThe problem of parametric, autoregressive model based estimation of a time-varying spectral density function of a multivariate nonstationary process is considered. It is shown that estimation results can be considerably improved if identification of the autoregressive model is carried out using the two-sided doubly exponentially weighted lattice algorithm which combines results yielded by two one-sided lattice algorithms running...
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Effect of dendrimer-based interlayers for enzyme immobilization on a model electrochemical sensing system for glutamate
PublikacjaIn this paper, we discuss dendrimer usage in enzyme-based electrochemical biosensors, particularly with respect to biomolecule loading on the sensing surface. A novel approach to design bioactive layers with immobilized enzymes for electrochemical biosensors using the surface plasmon resonance (SPR) method in combination with electrochemical impedance spectroscopy was presented. The gold surface was modified with linear linkers...
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Classification of objects in the LIDAR point clouds using Deep Neural Networks based on the PointNet model
PublikacjaThis work attempts to meet the challenges associated with the classification of LIDAR point clouds by means of deep learning. In addition to achieving high accuracy, the designed system should allow the classification of point clouds covering an area of several dozen square kilometers within a reasonable time interval. Therefore, it must be characterized by fast processing and efficient use of memory. Thus, the most popular approaches...
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Managing Quality Contests Based on Excellence Model at the Local Level. Selected Conditions and Problems – Case Study
PublikacjaThe aim of this article was to present characteristic phenomena accompanying competitions for quality awards based on the use of the organizational excellence models implemented at the regional level. Typical problems were identified, the understanding of which allows for a better use of the idea of excellence to raise the overall level of maturity of organizations aspiring to quality awards at every level. The results of self-assessment...
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Absorptive Desulfurization of Model Biogas Stream Using Choline Chloride-Based Deep Eutectic Solvents
PublikacjaThe paper presents a synthesis of deep eutectic solvents (DESs) based on choline chloride (ChCl) as hydrogen bond acceptor and phenol (Ph), glycol ethylene (EG), and levulinic acid (Lev) as hydrogen bond donors in 1:2 molar ratio. DESs were successfully used as absorption solvents for removal of dimethyl disulfide (DMDS) from model biogas steam. Several parameters affecting the absorption capacity and absorption rate have been...
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What Can Be Observed Locally? Round based models for quantum distributed computing
PublikacjaW pracy rozważono zagadnienie lokalności w kontekście informacji kwantowej w obliczeniach rozproszonych. Rozważono dwa kwantowe rozszerzenia modelu LOCAL Liniala, otrzymane poprzez: (1) inicjalizację systemu w kwantowym stanie splątanym, (2) zastosowanie kwantowych kanałów komunikacyjnych. Dla obydwu typów rozszerzeń zaproponowano przykłady problemów, których złożoność rundowa ulega redukcji w porównaniu do oryginalnego modelu...
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Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model with Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
PublikacjaSurrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable computational expenditures. Replacing EM analysis by fast surrogates provides a way to accelerate the design procedures. Unfortunately, modeling of microwave passives is a challenging...