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Search results for: SPOOFING DETECTION
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Numerical simulation of damage detection in rectangular plate by two-dimensional wavelet transform.
PublicationW pracy przedstawiono metodę lokalizacji pęknięć w płytach przy zastosowaniu transformaty falkowej.
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Melanoma skin cancer detection using mask-RCNN with modified GRU model
PublicationIntroduction: Melanoma Skin Cancer (MSC) is a type of cancer in the human body; therefore, early disease diagnosis is essential for reducing the mortality rate. However, dermoscopic image analysis poses challenges due to factors such as color illumination, light reflections, and the varying sizes and shapes of lesions. To overcome these challenges, an automated framework is proposed in this manuscript. Methods: Initially, dermoscopic...
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Fault detection in the marine engine using a support vector data description method
PublicationFast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...
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Detection of defects in PMMA beam using shear waves - numerical simulation and experiment
PublicationTest doświadczalny falami sprężystymi jest częścią systemu diagnostycznego belek. Autorzy badają pole przyspieszeń wywołane przepływem fal ultradźwiękowych i jego modyfikacje wynikające z wprowadzonych uszkodzeń belki. Artykuł porównuje wyniki eksperymentalne z symulacjami numerycznymi MES. The experimental test introduced in the paper is the part of the diagnostic system utilizing the elastic waves. The authors investigate the...
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Higher-order spectra for harmonics detection in nonlinear systems at presence of Gaussian noise.
PublicationPrzedstawiono metodę wykrywania harmonicznych w ukladach nieliniowych za pomocą funkcji bispektrum. Przebadano skuteczność proponowanej metody w porównaniu z metodą wykorzystującą gęstość widmową mocy. Badania przeprowadzono dla sygnałów będących sumą sygnału harmonicznego i realizacji szumu białego.
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Factors influencing the selection of the ideal employer
Open Research DataThis dataset contains the results of research that were carried out by the Wrocław University of Science and Technology in March and April 2016, using an anonymous "on-line" questionnaire. 1,320 people took part in the study entitled "My ideal employer" - students and doctoral students of all faculties of the university (including those fields of study...
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Potential direction of changes in tax incentives
Open Research DataThe study conducted on a group of 259 entrepreneurs concerned exploring the potential direction of changes in the scope of the tax incentive system in Poland. The results of the study include answers to questions about the mechanisms of tax reliefs used so far, as well as the potentialn direction of changes in this respect.
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Jan Biernat prof. dr hab. inż.
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Multi-criteria selection of hydraulic gates
PublicationSelekcja doboru zamknięcia wodnego stanowi podstawowy element w jego projektowaniu. Projektowanie zamknięć można rozważać jako problem krótkoterminowy (zamknięcie natychmiastowe wysokiej wody) jak i problem długoterminowy uwzględniający problemy rolnicze, ekologiczne i zmiany klimatu. W doborze rodzaju zamknięć wodnych należy uwzględnić wiele kryteriów w tym ekonomicznych, wykonawczych, ekologicznych i innych. W pracy przedstawiono...
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Frequency bands selection of the Portevin-LeChatelier
PublicationEfekt Portevina-LeChateliera ujawnia się w postaci skokowych zmian naprężenia w trakcie procesu odkształcenia próbek pewnych stopów. Zjawisko PLC występuje w kilku odmianach charakteryzujących się istotnymi różnicami zarówno w przestrzennym rozkładzie pasm odkształcenia jak też przebiegu krzywej naprężeniowej. Przebiegi odpowiadające różnym odmianom serration charakteryzują się odmiennymi właściwościami rozkładu energetycznego...
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Clonal selection algorithm for vehicle routing
PublicationOver the years several successful computing techniques have been inspired by biological mechanisms. Studies of the mechanisms that allow the immune systems of vertebratesto adapt and learn have resulted in a class of algorithms called artificial immune systems. Clonal selection is a process that allows lymphocytes to launch a quick response to known pathogens and to adapt to new, previously unencountered ones. This paper presents...
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Prototype selection algorithms for distributed learning
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An Approach to RBF Initialization with Feature Selection
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Automated Reduced Model Order Selection
PublicationThis letter proposes to automate generation of reduced-order models used for accelerated -parameter computation by applying a posteriori model error estimators. So far,a posteriori error estimators were used in Reduced Basis Method (RBM) and Proper Orthogonal Decomposition (POD) to select frequency points at which basis vectors are generated. This letter shows how a posteriori error estimators can be applied to automatically select...
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Distributed graph searching with a sense of direction
PublicationIn this work we consider the edge searching problem for vertex-weighted graphs with arbitrarily fast and invisible fugitive. The weight function w provides for each vertex v the minimum number of searchers required to guard v, i.e., the fugitive may not pass through v without being detected only if at least w(v) searchers are present at v. This problem is a generalization of the classical edge searching problem, in which one has...
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Use laser to measure girder deflection
PublicationThe paper presents a new, simple way to measure deflection of selected intens using the device dkkz-2010, which user a laser light source.
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SELECTION OF DIAGNOSTIC FUNCTIONS IN A WHEELED TRACTOR
PublicationIn a classical approach to damage diagnosis, the technical condition of an analyzed machine is identified based on the measured symptoms, such as performance, thermal state or vibration parameters. In wheeled tractor the fundamental importance has monitoring and diagnostics during exploitation concerning technical inspection and fault element localizations. The main functions of a diagnostic system are: monitoring tractor components...
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Comparison and Analysis of Service Selection Algorithms
PublicationIn Service Oriented Architecture, applications are developed by integration of existing services in order to reduce development cost and time. The approach, however, requires algorithms that select appropriate services out of available, alternative ones. The selection process may consider both optimalization requirements, such as maximalization of performance, and constraint requirements, such minimal security or maximum development...
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Interoperability Constraints in Service Selection Algorithms
PublicationIn Service Oriented Architecture, composite applications are developed by integration of existing, atomic services that may be available in alternative versions realizing the same functionality but having different Quality of Service (QoS) attributes. The development process requires effective service selection algorithms that balance profits and constraints of QoS attributes. Additionally, services operate in a heterogeneous environment,...
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Selection of drive engines for dredge pumps
PublicationThis paper presents the principles of selecting drive engines for dredge pumps, formulated by this author. In order to formulate them influence of drive engines on dredge pump characteristics and dredger effectiveness, have been analyzed. Also, an analysis of results of the author's operational investigations concerning energy consumption and parameters of excavated soil transport on board dredgers has been performed.
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EVALUATION OF THE SEMIVARIOGRAM SELECTION ON THE KRIGING INTERPOLATION
PublicationThe aim of the paper is to present the possibilities of geostatistical interpolation kriging method using in the process of generating digital terrain models (DTM). The source of data is a direct measurements realized with a precision GNSS positioning kinematic measurement technique RTN. Kriging algorithm was analysed, especially in the meaning of a semivariogram every step. Theoretical semivariogram selection influence on the...
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Measurements of electron scattering in the backward direction
PublicationPrzedstawiono wyniki badań rozproszenia elektronów na atomach i cząsteczkach przeprowadzonych w zakresie dużych kątów rozproszenia do 180o.
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Selection of the tunnel thuster main parameters.
PublicationPrzedstawiono przegląd podstawowych odmian konstrukcyjnych sterów strumieniowych urządzeń zalecanych przez producentów. Z uwagi na znaczne różnice wartości otrzymywane z wymienionych metod, zamieszczono także wyniki analizy statystycznej sterów strumieniowych zastosowanych na statkach zbudowanych w Stoczni Gdynia w latach1995-2002. Porównanie wyników poszczególnych metod z parametrami sterów zastosowanych na wymienionych...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Pose-Invariant Face Detection by Replacing Deep Neurons with Capsules for Thermal Imagery in Telemedicine
PublicationAbstract— The aim of this work was to examine the potential of thermal imaging as a cost-effective tool for convenient, non- intrusive remote monitoring of elderly people in different possible head orientations, without imposing specific behavior on users, e.g. looking toward the camera. Illumination and pose invariant head tracking is important for many medical applications as it can provide information, e.g. about vital signs, sensory...
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Magnetic field gradient as the most useful signal for detection of flaws using MFL technique
PublicationThe magnetic flux leakage (MFL) technique is extensively used for detection of flaws as well as for evaluation of their dimensions in ferromagnetic materials. However, proper analysis of the MFL signal is hindered by the MFL sensor velocity causing distortions of this signal. Traditionally measured components of the MFL signal are particularly sensitive to the scanning velocity. In this paper, an another signal – the gradient of...
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Performance Evaluation of Selected Parallel Object Detection and Tracking Algorithms on an Embedded GPU Platform
PublicationPerformance evaluation of selected complex video processing algorithms, implemented on a parallel, embedded GPU platform Tegra X1, is presented. Three algorithms were chosen for evaluation: a GMM-based object detection algorithm, a particle filter tracking algorithm and an optical flow based algorithm devoted to people counting in a crowd flow. The choice of these algorithms was based on their computational complexity and parallel...
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A Numerical Study on Baseline-Free Damage Detection Using Frequency Steerable Acoustic Transducers
PublicationIn structural health monitoring (SHM) a considerable amount of damage detection algorithms based on guided waves (GW) have been developed. Most of them rely on extensive transducer networks, besides preliminary reference measurements of the structures. This originated a growing demand for hardware simplification and cost reduction of the wave-based SHM methods, driving the conception of new solutions enabling both: the reduction...
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Conductive printable electrodes tuned by boron-doped nanodiamond foil additives for nitroexplosive detection
PublicationAn efficient additive manufacturing-based composite material fabrication for electrochemical applications is reported. The composite is composed of commercially available graphene-doped polylactide acid (G-PLA) 3D printouts and surface- functionalized with nanocrystalline boron-doped diamond foil (NDF) additives. The NDFs were synthesized on a tantalum substrate and transferred to the 3D-printout surface at 200 °C. No other electrode...
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Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
PublicationDue to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...
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Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection
PublicationAs a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware. The most extensively used method for identifying Android malware is signature-based detection. The drawback of this method, however, is that it is unable to detect unknown malware. As a consequence of this problem,...
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Electronic nose algorithm design using classical system identification for odour intensity detection
PublicationThe two elements considered crucial for constructing an efficient environmental odour intensity monitoring systems are sensors and algorithms typically addressed to as electronic nose sensor (e-nose). Due to operational complexity of biochemical sensors developed in human bodies algorithms based on computational methods of artificial intelligence are typically considered superior to classical model based approaches in development...
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Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method
PublicationHistoric buildings, due to their architectural, cultural, and historical value, are the subject of preservation and conservatory works. Such operations are preceded by an inventory of the object. One of the tools that can be applied for such purposes is Light Detection and Ranging (LiDAR). This technology provides information about the position, reflection, and intensity values of individual points; thus, it allows for the creation...
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A novel hierarchically-porous diamondized polyacrylonitrile sponge-like electrodes for acetaminophen electrochemical detection
PublicationA novel composite electrode material consisting of tangled fibrous polyacrylonitrile-based hierarchically-struc- tured nanocomposites has been produced by wet-spinning, carbonized and decorated with a carbon nano- architecture by microwave plasma-enhanced chemical vapor deposition and investigated as a metal-free electrode for the enhanced electrochemical detection of acetaminophen. Surprisingly, the hierarchical fiber ar- chitecture...
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Application of micellar electrokinetic chromatography for detection of silver nanoparticles released from wound dressing
PublicationThe recent emergence of nanotechnology has provided a new therapeutic modality in case of silver nanoparticles. Dressings containing silver form the basis for the treatment of burns and wounds, either acute or chronic ones. The aim of the study was to examine silver release from the different wound dressings: commercially available (Atrauman Ag, Aqua- cel Ag) and experimental (FKDP-AgNPs) using MEKC. In order to characterize prepared keratin...
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Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars
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<title>Ultrahigh-resolution detection techniques for biomedical applications of optical coherent tomography</title>
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
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The role of MR imaging in detection of hepatic iron overload in patients with cirrhosis of different origins
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Preliminary studies on DNA retardation by MutS applied to the detection of point mutations in clinical samples
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The simultaneous detection of food dyes from different samples in a 96-well plate by spectrophotometry
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Experimental and numerical study on damage detection in an L-joint using guided wave propagation
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Application of continuous wavelet transform in vibration based damage detection method for beams and plates
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Headspace Liquid-Phase Microextraction of Chlorobenzenes in Soil with Gas Chromatography-Electron Capture Detection
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Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection
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Detection of some volatile degradation products released during photoexposition of ranitidine in a solid state
PublicationRanitidine (RAN) is on top of the list of prescribed drugs, due to its popularity as a selective H2-receptor antagonist, which efficiently decreases the amount of acid produced in the stomach. RAN is not stable both in a solid state and in a solution, which creates manufacturing problems, requires appropriate storage conditions, and results in a short drug shelf-life. The aim of this work was to study the emission of volatile...
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Lamb wave based structural damage detection using cointegration and fractal signal processing
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