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Search results for: SYMPLEKS BAUERA
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Simulating malware with MAlSim
PublicationThis paper describes MAlSim - Mobile Agent Malware Simulator - a mobile agent framework developed to address one of the most important problems related to the simulation of attacks against information systems, i.e. the lack of adequate tools for reproducing behaviour of malicious software (malware). The framework can be deployed over the network of an arbitrary information system and it aims at simulating behaviour of each instance...
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Security Evaluation of IT Systems Underlying Critical Networked Infrastructures
PublicationCritical infrastructures have become highly dependent on information and communication technology (ICT). The drawback of this situation is that the consequences of disturbances of the underlying ICT networks may be serious as cascading effects can occur. This raises a high demand for security assurance, with a high importance assigned to security evaluations. In this paper we present an experiment-centric approach for the characterisation...
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Badania betonów o przyspieszonym twardnieniu.
PublicationCharakterystyczną cechą betonów stosowanych w prefabrykatach jest ich wymagane szybkie twardnienie, umożliwiające skrócenie cyklu produkcyjnego i możliwie najszybszy transport elementów do odbiorcy. Do niedawna większość zakładów prefabrykacji stosowała w omawianym przypadku obróbkę hydrotermiczną betonu. Wprowadzenie do praktyki różnego rodzaju domieszek i dodatków umożliwiło wyeliminowanie z zakładów procesów termicznych.
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Badania betonów o przyspieszonym twardnieniu
PublicationBadania wykazały, że możliwe jest uzyskanie tak wysokich wytrzymałości wczesnych betonów, że całkowicie zbędna staje się ich obróbka termiczna. Stosując odpowiedni cement klasy 42,5R i prawidłowo dobrana mieszankę upłynniającą można uzyskać już po 12 godz. wytrzymałość betonu około 35MPaa przy klasie cementu 52,5R nawet około 50MPa i to przy ilości cementu nie przekraczającej 400 kg/m3 betonu.
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Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks
PublicationDeep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...
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Self-Supervised Learning to Increase the Performance of Skin Lesion Classification
PublicationTo successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associated with the shortage of data, the most common of which is transfer learning. However, in many cases, the use of transfer learning as the only remedy is insufficient. In this study,...
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TOWARDS EXPLAINABLE CLASSIFIERS USING THE COUNTERFACTUAL APPROACH - GLOBAL EXPLANATIONS FOR DISCOVERING BIAS IN DATA
PublicationThe paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results...
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Neural Architecture Search for Skin Lesion Classification
PublicationDeep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...
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Optimal selection of input features and an acompanying neural network structure for the classification purposes - skin lesions case study
PublicationMalignant melanomas are the most deadly type of skin cancers however detected early enough give a high chances for successful treatment. The last years saw the dynamic growth of interest of automatic computer-aided skin cancer diagnosis. Every month brings new research results on new approaches to this problem, new methods of preprocessing, new classifiers, new ideas to follow etc. In particular, the rapid development of dermatoscopy,...
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DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES
PublicationMalignant melanomas are the most deadly type of skin cancer but detected early have high chances for successful treatment. In the last twenty years, the interest of automated melanoma recognition detection and classification dynamically increased partially because of public datasets appearing with dermatoscopic images of skin lesions. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task...
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Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublicationIn recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...
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Intelligent system supporting diagnosis of malignant melanoma
PublicationMalignant melanomas are the most deadly type of skin cancers. Early diagnosis is a key for successful treatment and survival. The paper presents the system for supporting the process of diagnosis of skin lesions in order to detect a malignant melanoma. The paper describes the development process of an intel-ligent system purposed for the diagnosis of malignant melanoma. Presented sys-tem can be used as a decision support system...
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DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY
PublicationThe paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure...
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Deep neural networks approach to skin lesions classification — A comparative analysis
PublicationThe paper presents the results of research on the use of Deep Neural Networks (DNN) for automatic classification of the skin lesions. The authors have focused on the most effective kind of DNNs for image processing, namely Convolutional Neural Networks (CNN). In particular, three kinds of CNN were analyzed: VGG19, Residual Networks (ResNet) and the hybrid of VGG19 CNN with the Support Vector Machine (SVM). The research was carried...
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SYSTEM WSPOMAGAJĄCY DIAGNOSTYKĘ CZERNIAKA ZŁOŚLIWEGO PRZY POMOCY METOD PRZETWARZANIA OBRAZU I ALGORYTMÓW INTELIGENCJI OBLICZENIOWEJ
PublicationNowotwory skóry są najczęściej spotykanymi nowotworami na świecie. Czerniaki złośliwe stanowią od około 5 do 7% wszystkich nowotworów złośliwych skóry u człowieka. Ich wczesne zdiagnozowanie jest kluczowym czynnikiem w późniejszej pomyślnej terapii. Niniejsza praca zawiera propozycję rozwinięcia i zautomatyzowania najważniejszej metody diagnozowania czerniaków, metody ABCD Stoltza. W artykule przedstawiono koncepcję i implementację...
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Approach to security assessment of critical infrastructures' information systems
PublicationThis study presents an approach to the security assessment of the information systems of critical infrastructures. The approach is based on the faithful reconstruction of the evaluated information system in a computer security laboratory followed by simulations of possible threats against the system. The evidence collected during the experiments, stored and organised using a proprietary system InSAW, may later be used for the creation...
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Synthesis and properties of CaFe2As2 single crystals
PublicationOpisana została synteza i podstawowe właściwości fizyczne monokryształów CaFe2As2. CaFe2As2 krystalizuje w strukturze ThCr2Si2, stałe sieciowe wynoszą odpowiednio: a = 3.887(4) A and c = 11.758(23) A.
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Charakterystyka kawitacyjna laserowo obrabianych napoin Fe-Cr-Mn
PublicationPrzedstawiono badania odporności kawitacyjnej napoin Fe-Cr-Mn w dwóch przypadkach: bez dodatkowej obróbki powierzchniowej oraz po przetapianiu powierzchni napoiny wiązką lasera CO2 o mocy 1000W. Oceniano głębokość i stopień umocnienia warstwy wierzchniej.
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Składowiska odpadów komunalnych jako źródła emisji zanieczyszczeń do środowiska
PublicationCelem pracy było przeprowadzenie badań mających na celu określenie związków uwalnianych do powietrza ze składowisk odpadów komunalnych oraz charakterystyka ich właściwości zapachowych i toksycznych. Próbki powietrza analizowano za pomocą techniki TD-GC-MS. Przeprowadzone badania pozwoliły na zidentyfikowanie następujących związków: styren, benzen, ksylen, toluen, etylobenzen, disiarczek dimetylu, dekan, kwas butanowy i octowy....
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Methodology for the Correction of the Spatial Orientation Angles of the Unmanned Aerial Vehicle Using Real Time GNSS, a Shoreline Image and an Electronic Navigational Chart
PublicationUndoubtedly, Low-Altitude Unmanned Aerial Vehicles (UAVs) are becoming more common in marine applications. Equipped with a Global Navigation Satellite System (GNSS) Real-Time Kinematic (RTK) receiver for highly accurate positioning, they perform camera and Light Detection and Ranging (LiDAR) measurements. Unfortunately, these measurements may still be subject to large errors-mainly due to the inaccuracy of measurement of the optical...
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Facial feature extraction from a monochromatic picture.
PublicationFace pose determination represents an important area of research in Human Machine Interaction. In this paper, I describe a new method of extracting facial feature locations from a single monochromatic monocular camera for the purpose of estimating and tracking the three dimensional pose of human face and eye-gaze direction.
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Facial Feature extraction from a monochromatic picture
PublicationFace pose determination represents an important area of research in Human Machine Interaction. In this paper, I describe a new method of extracting facial feature locations from a single monochromatic monocular camera for the purpose of estimating and tracking the three dimensional pose of human face and eye-gaze direction.
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Cavitation erosion of steels processed by CO2 laser beams of various parameters.
PublicationPrzedstawiono wpływ parametrów przetapiania stali za pomocą wiązki lasera CO2 na jej własności kawitacyjne. Do badań użyto stali 45, 2H13 i OH18N9. Wyniki badań wskazują na znaczny wpływ parametrów przetapiania na poziom odporności kawitacyjnej stali.
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Przemiany strukturalne warstwy wierzchniej stopu Al-Si za pomocą nadtapiania laserowego w niskiej temperaturze
PublicationPrzedstawiono technologię laserowego nadtapiania w warunkach kriogenicznych stopu Al-Si przy mocy wiązki lasera 1500-6000 W. Wykazano wzrost odporności na korozję i zużycie ścierne po nadtapianiu. Uzasadniono obserwowane efekty utworzeniem struktury nanokrystalicznej i amorficznej.
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On some accuracy limiting factors in wood sawing
PublicationPrzedstawiono szczegółową klasyfikację czynników determinujących dokładność przecinania drewna piłami. Uwzględniono w niej również pozorną utratę dokładności wynikającą z anatomicznej budowy drewna i metody pomiaru (wykorzystywanie lasera). Występujące błędy przecinania zobrazowano szeregiem przykładów z badań doświadczalnych.
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Eye Blink Based Detection of Liveness in Biometric Authentication Systems Using Conditional Random Fields
PublicationThe goal of this paper was to verify whether the conditional random fields are suitable and enough efficient for eye blink detection in user authentication systems based on face recognition with a standard web camera. To evaluate this approach several experiments were carried on using a specially developed test application and video database.
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Nie wszystko na sprzedaż
PublicationArtykuł dotyczy problemu zawłaszczania i ''zaśmiecania'' przestrzeni publicznej polskich miast oraz szpecenia budynków przez wielkoformatowe banery, hasła i plansze reklamowe. Wskazuje na konieczność formułowania zapisów w miejscowych planach zagospodarowania przestrzennego, które mogłyby przeciwdziałać temu zjawisku.
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The Effect of Wood Provenance and Density on Cutting Forces While Sawing Scots Pine (Pinus sylvestris L.)
PublicationSeveral properties of wood including the cutting power requirements can be correlated to wood density. Therefore, according to the literature, the cutting power requirements (and/or cutting forces) could be computed as a function of the wood specific gravity. This research shows that such an approach, based solely on specific gravity, may be considered a rather rough and imperfect estimate of cutting power. Samples of Scots pine...
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Opinia o innowacyjności
PublicationWydano opinię o innowacyjności przewidywanej modernizacji i rozbudowy parku maszynowego i biura konstrukcyjnego firmy WTW wytwarzającej i remontującej turbiny wodne.
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Multimodal Surveillance Based Personal Protection System
PublicationA novel, multimodal approach for automatic detection of abduction of a protected individual, employing dedicated personal protection device and a city monitoring system is proposed and overviewed. The solution is based on combining four modalities (signals coming from: Bluetooth, fixed and PTZ cameras, thermal camera, acoustic sensors). The Bluetooth signal is used continuously to monitor the protected person presence, and in case...
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Mining inconsistent emotion recognition results with the multidimensional model
PublicationThe paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...
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The Hough transform in the classification process of inland ships
PublicationThis article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification...
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Vehicle detector training with labels derived from background subtraction algorithms in video surveillance
PublicationVehicle detection in video from a miniature station- ary closed-circuit television (CCTV) camera is discussed in the paper. The camera provides one of components of the intelligent road sign developed in the project concerning the traffic control with the use of autonomous devices being developed. Modern Convolutional Neural Network (CNN) based detectors need big data input, usually demanding their manual labeling. In the presented...
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Deep Features Class Activation Map for Thermal Face Detection and Tracking
PublicationRecently, capabilities of many computer vision tasks have significantly improved due to advances in Convolutional Neural Networks. In our research, we demonstrate that it can be also used for face detection from low resolution thermal images, acquired with a portable camera. The physical size of the camera used in our research allows for embedding it in a wearable device or indoor remote monitoring solution for elderly and disabled...
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Influence of Additional Loads on Chosen Gait Parameters and Muscles Activity
PublicationThis paper is devoted to human motion analysis and comparison of chosen kinematics parameters during normal gait with and without additional load in a form of backpack. A stability in both cases were compared in both frontal and sagittal planes, by applying a video tracking system. Experimental tests performed on treadmill, passive markers, placed on volunteers bare skin were used. Additionally, an infra-red camera was employed...
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Synthesis and properties of CaFe2As2single crystals
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Charge density wave, enhanced mobility, and large nonsaturating magnetoresistance across the magnetic states of HoNiC2 and ErNiC2
PublicationWe report on magnetotransport and thermoelectric properties of two ternary carbides HoNiC2 and ErNiC2 hosting both charge density wave and long-range magnetic order. In the charge density wave state, both compounds show relatively large magnetoresistance MR ≈ 150% in HoNiC2 and ≈ 70%in ErNiC2 at a magnetic field of 9 T and temperature as low as 2 K. This positive field-linear magnetoresistance shows no signatures of saturation....
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Diagnosis´ likelihood and diagnosis rightness about the technical state of diesel engine
PublicationW referacie uzasadniono potrzebę rozróżniania pojęć "wiarygodność diagnozy" i "trafność diagnozy" przy podejmowaniu decyzji eksploatacyjnych. Wyprowadzono wzór na prawdopodobieństwo sformułowania diagnozy jako miary wiarygodności diagnozy. Do wyprowadzenia tego wzoru zastosowano teorię procesów semimarkowskich oraz wzór Bayesa na prawdopodobieństwo warunkowe.
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An isogeometric finite element formulation for boundary and shell viscoelasticity based on a multiplicative surface deformation split
PublicationThis work presents a numerical formulation to model isotropic viscoelastic material behavior for membranes and thin shells. The surface and the shell theory are formulated within a curvilinear coordinate system,which allows the representation of general surfaces and deformations. The kinematics follow from Kirchhoff–Love theory and the discretization makes use of isogeometric shape functions. A multiplicative split of the surface...
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New hybrid quadrature schemes for weakly singular kernels applied to isogeometric boundary elements for 3D Stokes flow
PublicationThis work proposes four novel hybrid quadrature schemes for the efficient and accurate evaluation of weakly singular boundary integrals (1/r kernel) on arbitrary smooth surfaces. Such integrals appear in boundary element analysis for several partial differential equations including the Stokes equation for viscous flow and the Helmholtz equation for acoustics. The proposed quadrature schemes apply a Duffy transform-based quadrature...
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ASSESSMENT OF ENGINE OPERATION WITH THE USE OF AN OPERATION INDICATOR BASED ON TEST BENCH RESULTS OF A ROBINSUBARU EX17 ENGINE
PublicationPaper presents results of an experimental verification of the method of quantitative evaluation of engine operation, presented in the literature, exemplified by a low-power internal combustion piston engine. In accordance with such interpretation, engine operation may be presented as a physical quantity defined as operation indicator. The paper presents results of preliminary tests, processed in that aspect, carried out on an engine...
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Retinit im mittleren Geiseltal und in Nordwestsachsen
PublicationEs werden historische fossile Harzfunde, bekannt unter dem Namen Retinit, aus ehemaligen Braunkohlenvorkommen in Nordwestsachsen und dem Geiseltal beschrieben. Die Harzproben aus dem Geiseltal wurden mittels Infrarotspektrometer untersucht. Der Vergleich der Spektren mit Referenzspektren zeigt, dass es sich bei den „historischen“ Harzproben um ein Harz vom Retinit- Typ, den oxidierten Krantzit (Oxikrantzit), handelt.
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Guido: a musical score recognition system
PublicationThis paper presents an optical music recognition system Guido that can automatically recognize the main musical symbols of music scores that were scanned or taken by a digital camera. The application is based on object model of musical notation and uses linguistic approach for symbol interpretation and error correction. The system offers musical editor with a partially automatic error correction.
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Analysis of the Accuracy of Pulse Estimation Using Smart Watches
PublicationThe purpose of this paper is to perform an analysis of the accuracy of the pulse estimation by comparing readings from a smartwatch with readings from medical devices. The study required writing applications that allow continuous pulse measurement. As a result, two applications were created for the smartwatch. The first one is dedicated to Android Wear devices, while the other one is compatible with Tizen watches. The next step...
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Distributed Framework for Visual Event Detection in Parking Lot Area
PublicationThe paper presents the framework for automatic detection of various events occurring in a parking lot basing on multiple camera video analysis. The framework is massively distributed, both in the logical and physical sense. It consists of several entities called node stations that use XMPP protocol for internal communication and SRTP protocol with Jingle extension for video streaming. Recognized events include detecting parking...
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Video of LEGO Bricks on Conveyor Belt Dataset Series
PublicationThe dataset series titled Video of LEGO bricks on conveyor belt is composed of 14 datasets containing video recordings of a moving white conveyor belt. The recordings were created using a smartphone camera in Full HD resolution. The dataset allows for the preparation of data for neural network training, and building of a LEGO sorting machine that can help builders to organise their collections.
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Monitoring ramanowski wzrostu cienkich warstw węglowych-studium
PublicationPrzedstawiono wybrane problemy diagnostyki ramanowskiej in-situ wzrostu cienkich warstw węglowych w prózniowym procesie CVD, w szczególności problemy doboru długości fali lasera oraz konstrucji głowic optycznych. Opisano system pomiarowy zrealizowany w Katedrze Optoelektroniki i Systemów Elektronicznych PG. Przedstawiono wyniki wstępnych pomiarów oraz ich interpretację.
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Wytwarzanie cienkich warstw dla tlenkowych ogniw paliwowych metodą pirolizy aerozolowej
PublicationCelem pracy doktorskiej były badania cienkich warstw wytworzonych za pomocą pirolizy aerozolowej na potrzeby tlenkowych ogniw paliwowych. Warstwy te miały spełniać funkcje ochronne dla dwóch zastosowań, jako bariera dyfuzyjna między katodą, a elektrolitem oraz jako warstwy ochronne dla stalowych interkonektorów pracujących w różnych atmosferach.
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Rzadka reprezentacja sygnału niestacjonarnego w technice oszczędnego próbkowania
PublicationPrzedstawiono zastosowanie techniki oszczędnego próbkowania do rekonstrukcji sygnału niestacjonarnego na podstawie skompresowanych próbek w dziedzinie czas-częstotliwość. Zastosowano nadmiarowy algorytm z różnymi słownikami aby znaleźć rzadką reprezentację sygnału. Wyniki symulacji potwierdzają, że zastosowanie oszczędnego próbkowania pozwala na rekonstrukcję sygnału niestacjonarnego z małej liczby losowo pobranych próbek, z niewielką...
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Analityka surfaktantów w próbkach środowiskowych
PublicationSurfaktanty stanowią grupę związków charakteryzujących się specyficznymi właściwościami fizykochemicznymi (m.in. amfifilowa budowa, zdolność rozpuszczania się w cieczach o różnej polarności, zdolność do tworzenia micelli) i z tego względu są one wykorzystywane w wielu sferach działalności człowieka. Związki powierzchniowo-czynne ulegają różnorodnym przemianom fizykochemicznym, co umożliwia ich migrację między różnymi elementami...