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Search results for: DYNAMIC SIGNATURE VERIFICATION POPULATION-BASED ALGORITHMS FUZZY SYSTEMS BIOMETRICS
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Port-Based Modelling of Distributed-Lumped Parameter Systems
PublicationThere in the paper is presented an uniform, port-based approach to modelling of both lumped and distributed parameter systems. Port-based model of the distributed system has been defined by application of bond graph methodology and distributed transfer function method (DTFM). The approach proposed combines versatility of port-based modelling and accuracy of distributed transfer function method. The concise representation of lumped-distributed...
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Discovering Rule-Based Learning Systems for the Purpose of Music Analysis
PublicationMusic analysis and processing aims at understanding information retrieved from music (Music Information Retrieval). For the purpose of music data mining, machine learning (ML) methods or statistical approach are employed. Their primary task is recognition of musical instrument sounds, music genre or emotion contained in music, identification of audio, assessment of audio content, etc. In terms of computational approach, music databases...
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Model Management for Low-Computational-Budget Simulation-Based Optimization of Antenna Structures Using Nature-Inspired Algorithms
PublicationThe 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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Prognostic value of 5-microRNA based signature in T2-T3N0 colon cancer
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Michał Małafiejski dr hab. inż.
PeopleMichał Małafiejski was born in 1975. He received the M.Sc. in computer science (in 1999). He received the Ph.D. in computer science in 2002 and habilitation in the same area in 2014. He works as associate professor in Department of Algorithms and Modelling of Systems. He is the author or coauthor of many papers related to theoretrical computer science. Main area of his research is the design of efficient algorithms and the analysis...
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Population-based case-control study of alpha 1-antitrypsin and SLC11A1 in Crohn's disease and ulcerative colitis.
PublicationBackground: Crohn’s disease (CD) and ulcerative colitis (UC) are chronic inflammatory diseases of the digestive tract. Genetic factors and an abnormal immune response to infections are suspected to be involved in inflammatory bowel diseases. Methods: In the present study 300 blood samples from CD patients (n 100), UC patients (n 100), and healthy controls (n 100) were taken from a population-based case-control study. PCR assays...
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A Concept of Mechatronic design for a Surveillance of Dynamic Systems
PublicationW publikacji przedstawiono zastosowanie koncepcji projektowania mechatronicznego w nadzorowaniu systmów dynamicznych. W szczególności są to aktywne nadzorowanie drgań podczas frezowania oraz nadzorowanie ruchu platformy 3-kołowej. Przy tworzeniu opisywanych rozwiązań zastosowano techniki projektowania wirtualnego, symulacjje komputerowe jaki w technice Hardware-in-the-Loop. W pracy zamieszczono także przykładowe wyniki badań eksperymentalnych...
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Vibration surveillance of dynamic systems and production processes
PublicationPraca dotyczy poszukiwania sposobów minimalizacji poziomu drgań podczas pracy maszyn i urządzeń wykonujących określone procesy robocze. Do modelowania dyskretnego wykorzystano metodę elementów skończonych. Rozważano dynamikę niestacjonarnego dyskretnego układu sterowanego, którego zachowanie opisano we współrzędnych uogólnionych, jak również - układu hybrydowego. Ten ostatni uzyskano dzięki wyodrębnieniu z całości podukładu stacjonarnego,...
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FUZZY SETS AND SYSTEMS
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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublicationMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Decoupled Kalman filter based identification of time-varying FIR systems
PublicationWhen system parameters vary at a fast rate, identification schemes based on model-free local estimation approaches do not yield satisfactory results. In cases like this, more sophisticated parameter tracking procedures must be used, based on explicit models of parameter variation (often referred to as hypermodels), either deterministic or stochastic. Kalman filter trackers, which belong to the second category, are seldom used in...
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Pilot study of the influence of thermoplastic starch based polymer packaging material on the growth of diatom population in sea water environment
PublicationNovel polymeric packaging materials susceptible to environmentally friendly decomposition appeared on the global market. The paper is devoted to an investigation of the impact of degradable polymer packaging on marine life. The chosen polymer was a commercial packaging based on thermoplastic starch (TPS over 85%). The microorganism chosen was Phaeodactylum tricornutum diatom (identified in many aquatic reservoirs, with a tendency...
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An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks
PublicationHandwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the...
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Security aspects in verification of the safety integrity level of distributed control and protection systems
PublicationPrzedstawiono najważniejsze zagadnienia zwišzane z weryfikacjš poziomu nienaruszalnoci bezpieczeństwa SIL rozproszonych systemów sterowania i zabezpieczeń z uwzględnieniem aspektów ochrony informacji. Przedstawiono ilociowš metodę weryfikacji poziomu SIL z wykorzystaniem wskaników różnicowych oraz dwuparametrowš funkcję kryterialnš łaczšcš wymagania SIL oraz EAL (poziom uzasadnionego zaufania dla ochrony informacji).
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Verification of a Novel Method of Detecting Faults in Medium-Voltage Systems with Covered Conductors
PublicationThis paper describes the use of new methods of detecting faults in medium-voltage overhead lines built of covered conductors. The methods mainly address such faults as falling of a conductor, contacting a conductor with a tree branch, or falling a tree branch across three phases of a medium-voltage conductor. These faults cannot be detected by current digital relay protection systems. Therefore, a new system that can detect the...
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DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS
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Dynamic OWL Ontology matching Using Lexical Wordnet-based Measures
PublicationOntologies are often used as a means of describing knowledge and the domain of operation of modern applications. S need arises for the ability to quickly match those ontologies to enable interoperability of such systems. This paper presents an extension to Noy and McGuiness ontology construction methodology which should improve ontology interoperability and a lexicon-based algorithm for merging and aligning of such ontologies stored...
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Endoscopy images classification with kernel based learning algorithms.
PublicationPrzedstawiono zastosowanie algorytmów opartych na wektorach wspierających zbudowanych na dwóch różnych funkcjach straty do klasyfikacji obrazów endoskopowych przełyku. Szczegółowo omówiono sposób ekstrakcji cech obrazów oraz algorytm klasyfikacji. Klasyfikator został zastosowany do problemu rozpoznawania zdjęć guzów złośliwych i łagodnych.
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Biopolymer based nanomaterials in drug delivery systems: A review
PublicationDrug delivery systems (DDS) are used to achieve a higher therapeutic effects of a pharmaceutical drug or natural compound in a specific diseased site with minimal toxicological effect and these systems consists of liposomes, microspheres, gels, prodrugs and many. Nanotechnology is a rapidly developing multi-disciplinary science that ensures the fabrication of the polymers to nanometer scale for various medical applications. Uses...
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Hearing aid fitting method based on fuzzy logic processing
PublicationWażnym etapem dopasowania współczesnych aparatów słuchowych jest wyznaczanie charakterystyki dynamiki słuchu. Charakterystyka ta wyznaczana jest na podstawie wyników testu skalowania głośności. Niestety wyniki te wyrażone są w skali kategorii głośności, natomiast aparaty słuchowe wymagają para-metrów numerycznych. Problem ten można rozwiązać za pomocą logiki rozmytej. W niniejszym referacie przedstawiono metodę przetwarzania rozmytego...
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Hearing aid fitting method based on fuzzy logic processing
PublicationWażnym etapem dopasowania współczesnych aparatów słuchowych jest wyznaczanie charakterystyki dynamiki słuchu. Charakterystyka ta wyznaczana jest na podstawie wyników testu skalowania głośności. Niestety wyniki te wyrażone są w skali kategorii głośności, natomiast aparaty słuchowe wymagają para-metrów numerycznych. Problem ten można rozwiązać za pomocą logiki rozmytej. W niniejszym referacie przedstawiono metodę przetwarzania rozmytego...
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Automatic assessment of the hearing aid dynamics based on fuzzy logic
PublicationPrzedstawiono podstawy koncepcyjne systemu dopasowania protez słuchu opartego na logice rozmytej. Przeprowadzono dyskusje na temat metody skalowania głośności. Następnie podano szczegóły procesu aproksymacji funkcji przynależności odzwierciedlające słuchowe wrażenia głośności. Załączono wnioski.
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Amplification of the PDGFRA, KIT and KDR genes in glioblastoma: a population-based study
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POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS
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Designing RBF Networks Using the Agent-Based Population Learning Algorithm
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Zdzisław Kowalczuk prof. dr hab. inż.
PeopleZdzislaw Kowalczuk received his M.Sc. degree in 1978 and Ph.D. degree in 1986, both in Automatic Control from Technical University of Gdańsk (TUG), Gdańsk, Poland. In 1993 he received his D.Sc. degree (Dr Habilitus) in Automatic Control from Silesian Technical University, Gliwice, Poland, and the title of Professor from the President of Poland in 2003. Since 1978 he has been with Faculty of Electronics, Telecommunications and Informatics...
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Parametric versus nonparametric modelling of dynamic susceptibility contrast enhanced MRI based data
PublicationDynamic tracking of a bolus of a paramagnetic agent (dynamic susceptibility contract - DSC) in MRI (magnetic resonance imaging) measurements is successfully used for assessment of the tissue perfusion and the other features and functions of the brain (i.e. cerebral blood flow - CBF, cerebral blood volume - CBV, mean transit time - MTT). The parametric and nonparametric approaches to the identification of MRI models are presented...
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International Journal of Fuzzy Logic and Intelligent Systems
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Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with moving measurment window
PublicationW artykule rozważana jest łączna estymacja przedziałowa zmiennych i parametrów w złożonej sieci dynamicznej w oparciu niepewne modele parametryczne i ograniczoną liczbę pomiarów. Opracowany został rekursywny algorytm estymacji z przesuwnym oknem pomiarowym, odpowiedni dla monitorowania sieci on-line. Okno pomiarowe pozwala na stabilizowanie klasycznego algorytmu rekurencyjnego estymacji i znacznie poprawienie obcisłości estymat....
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Preparatory Railway Track Geometry Estimation Based on GNSS and IMU Systems
PublicationThe article discusses an important issue of railway line construction and maintenance, which fundamentally is the verification of geometric parameters of the railway track. For this purpose, mobile measurements have been performed using a measuring platform with two properly arranged GNSS receivers, which made it possible to determine the base vector of the platform. The measuring functionality of the system was extended by IMU....
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Experimental verification and comparison of mode shape-based damage detection methods
PublicationW pracy przedstawiono wynik badań eksperymentalnych dotyczących oceny dokładności znanych z literatury metod detekcji uszkodzeń konstrukcji wykorzystujących zmiany jej parametrów modalnych. Pomiary wykonano wykorzystując skaner laserowy firmy Polytec. Omówiono sposoby poprawy jakości uzyskiwanych wyników, oraz zaproponowano własną metodę detekcji uszkodzeń wykorzystującą pomiar postaci i częstości drgań własnych konstrukcji.
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A methodology for incorporating human factors in fuzzy-probabilistic modelling and risk analysis of industrial systems
PublicationPraca dotyczy wybranych zagadnień rozmyto-probabilistycznych modelowania złożonych systemów przemysłowych. Do obliczeń związanych z analizą ryzyka stosuje się diagramy wpływu i hierarchiczny proces decyzyjny.
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A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems
PublicationThe 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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CDKN2A common variant and multi-organ cancer risk—a population-based study
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Impact and pitfalls of scaling of left ventricular and atrial structure in population-based studies
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Comparision of the current-mode backprojection and Jacobian-based reconstruction algorithms.
PublicationW pracy przedstawiono wynik porównania jakości dwóch algorytmów, pierwszego opartego na pomiarze rozpływu prądu pomiędzy elektrody pomiarowe i algorytmu wykorzystującego informację zawartą w Jakobianie. Porównano szybkość i dokładność tych algorytmów. Wskazano na dużą szybkość pierwszego i znacznie lepszą jakość drugiego algorytmu.
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Current divider-based nanosecond high current pulse measuring systems
PublicationThis paper presents the analysis of the new approach to the measurement methodology of significant values (in order of hundreds of kA) and huge steepness (in order of MA/μs) current pulses based on current dividers along with a comparison of the various types transducers suitability in measuring systems with such extreme parameters. Such dividers are used to extend the measurement ranges of current transducers with limited current...
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Robust estimation of variables and parameters in dynamic water distribution systems
PublicationPrzedstawiono estymację metodą ''set membership'' zmiennych i parametrów systemu dystrybucji wody pitnej. Zmienne odnoszą się do ilości i jakości wody, natomiast parametry odnoszą się do modelu matematycznego hydrauliki. Problemten jest wysoce nieliniowy. Algorytm estymacji jest oparty na wcześniejszychpracach i wykorzystuje również algorytm dynamicznej linearyzacji odcinkami.
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Dynamic systems with liquid membrane and cationic surfactant (benzyldimethyltetradecylammonium Chlioride)
PublicationZbadano oscylacje różnicy potencjałów elektrochemicznych między fazami wodnymi oscylatora zawierającego kationowy surfaktant i chlorek sodu jako substancja odpowiedzialna za smak słony w zależności od rodzaju materiału membrany ciekłej. Na podstawie transformacji Gabora wykazano, że badane układy mają elementy chaosu deterministycznego.
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Adaptive Positioning Systems Based on Multiple Wireless Interfaces for Industrial IoT in Harsh Manufacturing Environments
PublicationAs the industrial sector is becoming ever more flexible in order to improve productivity, legacy interfaces for industrial applications must evolve to enhance efficiency and must adapt to achieve higher elasticity and reliability in harsh manufacturing environments. The localization of machines, sensors and workers inside the industrial premises is one of such interfaces used by many applications. Current localization-based systems...
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JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
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Serum miRNA-based signature indicates radiation exposure and dose in humans: A multicenter diagnostic biomarker study
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Serum miRNA-based signature indicates radiation exposure and dose in humans: a multicenter diagnostic biomarker study
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The Value of Serum MicroRNA Expression Signature in Predicting Refractoriness to Bortezomib-Based Therapy in Multiple Myeloma Patients
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Fast Algorithms for Identification of Time-Varying Systems with Both Smooth and Discontinuous Parameter Changes
PublicationThe problem of noncausal identification of a time-varying linear system subject to both smooth and occasional jump-type changes is considered and solved using the preestimation technique combined with the basis function approach to modeling the variability of system parameters. The proposed estimation algorithms yield very good parameter tracking results and are computationally attractive.
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Andrzej Chybicki dr inż.
PeopleA graduate of the Faculty of Electronics, Telecommunications and Informatics at the Gdańsk University of Technology, PhD in technical sciences in the field of IT specializing in distributed data processing in IT . Aimed at exploiting the achievements and knowledge in the field of industrial research. He cooperated with a number of companies including OpeGieka Elbląg, Reson Inc., Powel Sp. z o. o., Wasat, Better Solutions, the European...
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Recent advances on the removal of phosphorus in aquatic plant-based systems
PublicationPhosphorus (P) is a vital nutrient for the ecosystems and its excess in wastewater streams leads to some environmental issues such as extensive algae growth (eutrophication). Phytoremediation is a green technology that is based on the combined actions of plants and their associated microbial groups to remove and transfer the toxic compounds in surface water, groundwater and soil. Aquatic plants are widely used for the remediation...
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Heritability and other determinants of left ventricular diastolic function in the family-based population study
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Study on population dynamics for triple-linked food chain using a simulation-based approach
PublicationThe procedures based on simulation have become a feasible testing method that does not require investing valuable resources to create a concrete prototype, especially with the increasing computational power of computers. Thus, design changes can be adopted and design errors can be fixed before it is too late. Simulation turns to be a cheap, safe and often more acceptable from an ethical perspective. In our work we summarize the...