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Tool support for detecting defects in object-oriented models
PublikacjaArtykuł przedstawia nową metodę analityczną UML-HAZOP oraz narzędzie wspomagające jej stosowanie. Metoda ukierunkowana jest na wykrywanie defektów we wczesnych fazach wytwarzania oprogramowania i koncentruje się na powszechnie stosowanych modelach opartych na metodyce obiektowej.
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Flow models 1D, 2D, 3D for diagonal pump
PublikacjaTrzy typowe modele stosowane w maszynach wirnikowych 1D, 2D, 3D zostały przedstawione w zastosowaniu do przepływu w pompie diagonalnej. W ramach modelu 1D przedstawiono prezentację procesu na wykresie energia -straty. W ramach modelu 2D pokazano wynik rozwiązania zadania odwrotnego prowadzącego do kształtu łopatek wirnika pompy. W ramach modelu 3D wykonano obliczenia programem FLUENT pokazując charakterystyczne cechy dwóch różnie...
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Truss models of RC corbels verified by experimental tests
PublikacjaW pracy przedstawiono wybrane modele kartownicowe krótkich wsporników żelbetowych oraz obliczone na podstawie tych modeli nośności graniczne wsporników na tle wyników uzyskanych w badaniach eksperymentalnych. Przedstawiono także weryfikację metody ścinania-tarcia wg wytycznych normy amerykańskiej. Dokonano obliczeń częściowych współczynników bezpieczeństwa, uwzględniających niepewność rozważanych modeli. Stwierdzono, ze modele...
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Development and validation of a HAZOP-based inspection of UML models
PublikacjaArtykuł prezentuje technikę inspekcji ukierunkowaną na wykrywanie defektów w modelach UML. Technika ta została opracowana poprzez adaptację HAZOP - metody szeroko stosowanej w dziedzinie systemów związanych z bezpieczeństwem. Wykorzystano podstawową koncepcję HAZOP (zastosowanie ogólnych słów kluczowych do wykrywania pełnej listy anomalii związanych z danym fragmentem modelu) do systematycznego wygenerowania list kontrolnych dla...
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Training of Deep Learning Models Using Synthetic Datasets
PublikacjaIn order to solve increasingly complex problems, the complexity of Deep Neural Networks also needs to be constantly increased, and therefore training such networks requires more and more data. Unfortunately, obtaining such massive real world training data to optimize neural networks parameters is a challenging and time-consuming task. To solve this problem, we propose an easy-touse and general approach to training deep learning...
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Nonlocal Models of Plates and Shells with Applications in Micro- and Nanomechanics
PublikacjaNowadays, the use of small-scale structures in micro/nanomachines has become more and more widespread. The most important applications of such small-sized parts are in micro-electro-mechanical systems (MEMS) as well as nano-electro-mechanical systems (NEMS) as actuators, sensors, energy harvesters. For example, nanosensors are nanoscale devices that measure physical quantities and convert these to signals that can be detected and...
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Performance Models of a Multidomain IMS/NGN Service Stratum
PublikacjaThis paper quantifies call processing performance (CPP) of a multidomain IMS/NGN architecture, which was proposed to deliver current and future telecommunication services with strict quality requirements, independently of the transport network technologies. A realistic simulation model is used as a reference for evaluation of the analytical results, in which vari-ous types of queuing systems are applied to model the opera-tion...
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Application of human bile salts for in vitro digestion models
PublikacjaIn this study, experimental in vitro models simulating the environment of the human gastrointestinal tract were used to assess the impact of physiological surfactants, such as bile salts, on the kinetics of digestion. Bile salts are biosurfactants synthesised in the liver and secreted together with bile into the small intestine. There are many reports on the role of bile salts in lipolysis, but the knowledge of their influence...
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Reliability of imperfect structures (simple non-linear models)
PublikacjaPrzyjęto proste modele prętów umożliwiających analizę układów o niestatecznych i statecznych punktach bifurkacji. Wykorzystano symulacyjną metodę wyznaczania niezawodności. Zastosowano metodę Monte Carlo i równania 3 poziomu dokładności. Uzyskano rozkłady prawdopodobieństwa obciążenia granicznego nieliniowych modeli konstrukcji z losowymi imperfekcjami. Wykazano, że histogramy siły granicznej modelu statecznego i niestatecznego...
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Experimental measurements of the hydrodynamic characteristics of the pod propulsor models
PublikacjaPraca przedstawia wyniki pomiarów charakterystyk hydrodymicznych trzech wariantów modelu pędnika azymutalnego. Charakterystyki obejmują napór pędnika, siłę boczną i moment względem osi pionowej w zależności od współczynnika posuwu i kąta dryfu.
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The shape of an ROC curve in the evaluation of credit scoring models
PublikacjaThe AUC, i.e. the area under the receiver operating characteristic (ROC) curve, or its scaled version, the Gini coefficient, are the standard measures of the discriminatory power of credit scoring. Using binormal ROC curve models, we show how the shape of the curves affects the economic benefits of using scoring models with the same AUC. Based on the results, we propose that the shape parameter of the fitted ROC curve is reported...
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A review on analytical models of brushless permanent magnet machines
PublikacjaThis study provides an in-depth investigation of the use of analytical and numerical methods in analyzing electrical machines. Although numerical models such as the finite-element method (FEM) can handle complex geometries and saturation effects, they have significant computational burdens, are time-consuming, and are inflexible when it comes to changing machine geometries or input values. Analytical models based on magnetic equivalent...
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Towards New Mappings between Emotion Representation Models
PublikacjaThere are several models for representing emotions in affect-aware applications, and available emotion recognition solutions provide results using diverse emotion models. As multimodal fusion is beneficial in terms of both accuracy and reliability of emotion recognition, one of the challenges is mapping between the models of affect representation. This paper addresses this issue by: proposing a procedure to elaborate new mappings,...
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Local hidden–variable models for entangled quantum states
PublikacjaWhile entanglement and violation of Bell inequalities were initially thought to be equivalent quantum phenomena, we now have different examples of entangled states whose correlations can be described by local hidden-variable models and, therefore, do not violate any of the Bell inequalities. We provide an up-to-date overview of the existing literature regarding local hidden-variable models for entangled quantum states, in both...
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Integrate-and-fire models with an almost periodic input function
PublikacjaWe investigate leaky integrate-and-fire models (LIF models for short) driven by Stepanov and μ-almost periodic functions. Special attention is paid to the properties of the firing map and its displacement, which give information about the spiking behavior of the considered system. We provide conditions under which such maps are well-defined and are uniformly continuous. We show that the LIF models with Stepanov almost periodic...
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Injury Prediction Models for Onshore Road Network Development
PublikacjaIntegrating different modes of transport (road, rail, air and water) is important for port cities. To accommodate this need, new transport hubs must be built such as airports or sea ports. If ports are to grow, they must be accessible, a feature which is best achieved by building new roads, including fast roads. Poland must develop a network of fast roads that will provide good access to ports. What is equally important is to upgrade...
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Online brand communities’ contribution to digital business models
PublikacjaAbstract Purpose – There is limited research examining social drivers and mediators of online brand community identification in the context of business models development. This study aims to identify them behind the social mechanisms and present essential factors which should be applied in business models to foster value co-creation. Design/methodology/approach – Data were collected from a convenience sample of 712 cases gathered among...
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Intelligent Decision Forest Models for Customer Churn Prediction
PublikacjaCustomer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones....
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Polymodal Method of Improving the Quality of Photogrammetric Images and Models
PublikacjaPhotogrammetry using unmanned aerial vehicles has become very popular and is already commonly used. The most frequent photogrammetry products are an orthoimage, digital terrain model and a 3D object model. When executing measurement flights, it may happen that there are unsuitable lighting conditions, and the flight itself is fast and not very stable. As a result, noise and blur appear on the images, and the images themselves can...
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Stirling engines - the state of technology development and computational models
PublikacjaStirling engines represent a technologically important solution in combined heat and power systems. Their use enables the achievement of over 90 percent efficiency in the management of the primary energy source with a very high durability of the device, mainly due to the lack of contact of the working gas with external factors and a very small number of mechanical components. The use of a Stirling engine may be equally important...
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The role of traditional architectural models in the first stages of education.
PublikacjaThe oldest architectural models discovered by scientists date from the Middle Ages, while models or 1:1 scale prototypes were used in ancient times. Architectural miniatures quickly evolved into an indispensable tool for designers that enabled them to creatively express their thoughts and ideas. Mock-ups became a way of helping a designer communicate a concept, and their educational value was also recognised. The method of modelling,...
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Mathematical models of process quality on the example of the bakery industry
PublikacjaThis article presents a new approach to quantitative dimensionless assessment of the efficiency and competitiveness of production processes. New concepts of process quality and relative product quality have been introduced. Process quality was expressed in vector and scalar. The process quality vector ono was expressed by the product of reliability by the vector from the sum of three components taking into account the composition...
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On the interspike-intervals of periodically-driven integrate-and-fire models
PublikacjaWe analyze properties of the firing map, which iterations give information about consecutive spikes, for periodically driven linear integrate-and-fire models. By considering locally integrable (thus in general not continuous) input functions, we generalize some results of other authors. In particular, we prove theorems concerning continuous dependence of the firing map on the input in suitable function spaces. Using mathematical...
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An Approach to the Detection of Bank Robbery Acts Employing Thermal Image Analysis
PublikacjaA novel approach to the detection of selected security-related events in bank monitoring systems is presented. Thermal camera images are used for the detection of people in difficult lighting conditions. Next, the algorithm analyses movement of objects detected in thermal or standard monitoring cameras using a method evolved from the motion history images algorithm. At the same time, thermal images are analyzed in order to detect...
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A novel chemiluminescent immunoassay for detection of Toxoplasma gondii IgG in human sera
PublikacjaThis study describes Toxoplasma gondii IgG chemiluminescent immunoassay (CLIA) based on the use of a novel immunochemical reagents in the form of the conjugates of original acridinium ester (AE) labels attached to antibodies and SAG2-GRA1-ROP1L chimeric antigen and shows that this test is useful for diagnostic purposes.
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Numerical modeling of GPR field in damage detection of a reinforced concrete footbridge
PublikacjaThe paper presents a study on the use of the ground penetrating radar (GPR) method in diagnostics of a footbridge. It contains experimental investigations and numerical analyses of the electromagnetic field propagation using the finite difference time domain method (FDTD). The object of research was a reinforced concrete footbridge over a railway line. The calculations of the GPR field propagation were performed on a selected cross-section...
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Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition
PublikacjaThe problem of accurate differentiating between the speaker utterance and the noise parts in a speech signal is considered. The influence of utilizing a voice activity detection in speech signals on the accuracy of the automatic speech recognition (ASR) system is presented. The examined methods of voice activity detection are based on acoustic and visual modalities. The problem of detecting the voice activity in clean and noisy...
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Modular machine learning system for training object detection algorithms on a supercomputer
PublikacjaW pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...
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Broadband LFM signal source for a module-based diver detection sonar
PublikacjaPraca przedstawia koncepcję źródła impulsów sondujących sonaru DDS, dla pogrupowanych po stronie nadawczej elementarnych sekcji przetwornika w moduły 8 lub 16 elementowe. Na podstawie oszacowania teoretycznego i pomiarów czwórnikowych określono potrzebną moc wyjściową i topologię tych nadajników. Przedstawione są też uzyskane na drodze pomiarów charakterystyki częstotliwościowe modułów przetwornika, razem z zastosowanym układem...
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Real-Time Bleeding Detection in Gastrointestinal Tract Endoscopic Examinations Video
PublikacjaThe article presents a novel approach to medical video data analysis and recognition of bleedings. Emphasis has been put on adapting pre-existing algorithms dedicated to the detection of bleedings for real-time usage in a medical doctor’s office during an endoscopic examination. A real-time system for analyzing endoscopic videos has been designed according to the most significant requirements of medical doctors. The main goal of...
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Analysis and Detection of Faults at Insulated Conductors of Overhead Medium Voltage Lines
PublikacjaThe paper dealt with the issue of breakdowns detection of isolated hanging wires on the medium-voltage transmission. The main aim of article is to describe the function of created breakdowns detector and evaluation its. The breakdowns detector is created based in indicators of faults such as touch between tree limbs and insulated wire, touch tree limbs with several phases or fall insulated wire on the ground. Breakdowns detector...
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Detection of vehicles stopping in restricted zones in video from surveillance cameras
PublikacjaAn algorithm for detection of vehicles that stop in restricted areas, e.g. excluded by traffic rules, is proposed. Classic approaches based on object tracking are inefficient in high traffic scenes because of tracking errors caused by frequent object merging and splitting. The proposed algorithm uses the background subtraction results for detection of moving objects, then pixels belonging to moving objects are tested for stability....
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Detection of stress corrosion cracking dynamics by dynamic electrochemical impedance spectroscopy
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Detection of Vehicles Stopping in Restricted Zones in Video from Surveillance Cameras
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Improving peak detection by Gaussian mixture modeling of mass spectral signal
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cDNA sequencing improves the detection of P53 missense mutations in colorectal cancer
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Visual Detection of People Movement Rules Violation in Crowded Indoor Scenes
PublikacjaThe paper presents a camera-independent framework for detecting violations of two typical people movement rules that are in force in many public transit terminals: moving in the wrong direction or across designated lanes. Low-level image processing is based on object detection with Gaussian Mixture Models and employs Kalman filters with conflict resolving extensions for the object tracking. In order to allow an effective event...
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Detection of moving objects in images combined from video and thermal cameras
PublikacjaAn algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...
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Real-time PCR approach in dermatophyte detection and Trichophyton rubrum identification
PublikacjaDermatophytes are keratinophilic molds that infect human hair, nails and skin. Diagnosis of dermatophytosis is based on morphological, serological and biochemical features. However, identification is difficult and laborious due to similarities between microorganisms. Thus, there is considerable interest to develop mycological diagnostic procedures based on molecular biology methods. In this study, fast, two-step DNA extraction...
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Method of selecting the LS-SVM algorithm parameters in gas detection process
PublikacjaIn this paper we showed the method of resistive gas sensors data processing. The UV irradiation and temperature modulation was applied to improve gas sensors’ selectivity and sensitivity. Noise voltage across the sensor’s terminals (proportional to its resistance fluctuations) was recorded to estimate power spectral density. This function was an input data vector for LS-SVM (least squares – support vector machine) algorithm, which...
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Experimental verification and comparison of mode shape-based damage detection methods
PublikacjaW 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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Experimental verification and comparison of mode shape-based damage detection methods
PublikacjaThis paper presents experimental verification and comparison of damage detection methods based on changes in mode shapes such as: mode shape curvature (MSC), modal assurance criterion (MAC), strain energy (SE), modified Laplacian operator (MLO), generalized fractal dimension (GFD) and Wavelet Transform (WT).
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Commercial systems for automatic detection of events. Features, limitations and potential solutions
PublikacjaVideo Content Analysis (VCA). Motion detection. Example of complex VCA system. Commercial VCA systems and their applications. Limitations and problems. Possible solutions.
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Description of the silo flow and bulk solid pulsations detection using ECT
PublikacjaW artykule przedstawiono wyniki zastosowania tomografii pojemnościowej do analizy pulsacji występujących w bezkohezyjnym materiale sypkim podczas opróżniania silosu cylindrycznego. Przeanalizowano wpływ parametrów zmiennych (zagęszczenia początkowego, szorstkości ściany, prędkości opróżniania) na wielkość dynamicznych pulsacji)
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Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System
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Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer
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Wheel-flat detection on trams using envelope analysis with Hilbert transform
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MultiRegional PCA for leakage detection and localisation in DWDS - Chojnice case study
PublikacjaThis chapter considers pipe leakage detection and localisation in Drinking Water Distribution Systems (DWDS) by using a novel approach the MultiRegional Principal Component Analysis (MR-PCA). The MR-PCA is an extension of well known PCA method. The main idea of MR-PCA consists in designing a number of regional PCA models and analysing their responses caused by the pipe faults. Moreover, DWDS is decomposed into suitable subnetworks...
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Distance magnetic nanoparticle detection using a magnetoelectric sensor for clinical interventions
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Lamb Wave Based Structural Damage Detection Using Stationarity Tests
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