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Simple colorimetric copper(II) sensor – spectral characterization and possible applications
PublikacjaNew o-hydroxyazocompound L bearing pyrrole residue was obtained in the simple synthetic protocol. The structure of L was confirmed and analyzed by X-ray diffraction. It was found that new chemosensor can be successfully used as copper(II) selective spectrophotometric regent in solution and can be also applied for the preparation of sensing materials generating selective color signal upon interaction with copper(II). Selective colorimetric...
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Functionalized azobenzocrown ethers as sensor materials—The synthesis and ion binding properties
PublikacjaNew 13- and 16-membered azobenzocrown ethers with aromatic amino, amide, ether–ester or ether–amide residue in para position to an azo moiety were obtained. Acid–base properties and ion binding ability of the colored compounds were studied by spectroscopic methods: UV–vis, fluorimetry and 1H NMR spectroscopy. Selected azobenzocrowns were tested as ionophores in ion-selective membrane electrodes (ISEs) – classic and miniature all...
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Properties of a lithium solid electrolyte gas sensor based on reaction kinetics
PublikacjaW artykule przedstawiono zasadę działania, budowę i właściwości czujnika gazu na bazie elektrolitu stałego z mobilnymi jonami litu. Czujnik został przygotowany w technologii grubowarstwowej. Przedstawiono wyniki badań czujnika w mieszaninach gazów toksycznych.
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Properties of a polyethyleneimine-based sensor for measuring medium and high relative humidity
PublikacjaW artykule przedstawiono metodę przygotowania filmów polimerowych o zwiększonej odporności na działanie wody. Polietylenoimina została usieciowana w podwyższonej temperaturze. Określono optymalną kompozycję polimeru oraz temperaturę sieciowania. Czujniki rezystancyjne przygotowano metodą ''dip-coating''. Otrzymane czujniki charakteryzują się doskonałą trwałością w wysokich wilgotnościach. Elektryczne parametry czujników określono...
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Quality Evaluation of Voice Transmission Using BPL Communication System in MV Mine Cable Network
PublikacjaThis article presents results of a quality evaluation study, considering voice transmission in a 6 kV medium voltage cable network using the BPL (Broadband over Power Line) communication system. The tests are carried out under real mining conditions for the selected power cable without voltage, earthed at both sides. Such a method of monitoring work conditions is of great importance, especially during a disaster. Power cables are...
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Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions
PublikacjaWith the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are...
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OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems
PublikacjaCurrently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...
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Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters
PublikacjaIn this paper, the fracture behavior and fatigue crack growth rate of the 2024-T351 aluminum alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded using friction stir welding procedure and the fracture toughness and fatigue crack growth rate of the CT specimens have been studied experimentally based on ASTM standards. After that, in order to predict fatigue crack growth rate and fracture toughness,...
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DIAGNOSIS OF MALIGNANT MELANOMA BY NEURAL NETWORK ENSEMBLE-BASED SYSTEM UTILISING HAND-CRAFTED SKIN LESION FEATURES
PublikacjaMalignant 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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Modeling of TEC Variations Based on Signals from Near Zenith GNSS Satellite Observed by Dense Regional Network
PublikacjaCurrently the substantial successes in high-resolution ionospheric mapping is declared in many publications. Nevertheless, up to now there are no examples of dynamic visualization of TEC disturbances on regional scale with as high resolution as tropospheric models. Over the years, ionosphere has been modeling basing on the simple assumption, that it is a thin layer, which surrounds the Earth at some arbitrary height. However, the...
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Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs
PublikacjaIn the paper we investigate the problem of food classification from images, for the Food-101 dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer learning and firstly measured training times for models such as MobileNet, MobileNetV2, ResNet50, ResNet50V2, ResNet101, ResNet101V2, InceptionV3, InceptionResNetV2, Xception, NasNetMobile and DenseNet, for systems with NVIDIA Tesla V100 (Volta) and...
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Effect of diet on the capacity to remove mercury from the body of a penguin (Spheniscus demersus) living in the ZOO
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Ochratoxin A, deoxynivalenol, T-2 and HT-2 toxins – occurrence in food and their effect on the human body
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The impact of resistance exercise range of motion on the magnitude of upper-body post-activation performance enhancement
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Efficacy of the Whole-Body Cryotherapy as Add-on Therapy to Pharmacological Treatment of Depression—A Randomized Controlled Trial
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Arterial stiffness, body fat compartments, central hemodynamics, renal function and left atrial size
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THE EFFECT OF THE FRICTION OF THE REFUSE INSIDE THE REFUSE COLLECTION VEHICLE BODY ON THE WORKING PARAMETERS OF THE COMPACTION MECHANISM
PublikacjaMechanizm prasujący pojazdu do usuwania odpadów z pojemników (w skrócie PUOP) spełnia dwie funkcje. W pierwszym etapie zagęszcza zebrane z pojemników odpady, a następnie przemieszcza je w głąb skrzyni zbiorczej. Znajo-mość właściwości mechanicznych odpadów znajdujących się wewnątrz skrzyni może w znaczący sposób wpłynąć na poprawę wydajności pojazdu. Celem ba-dań było zwiększenie wydajności PUOP poprzez opracowanie w oparciu...
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BADANIA I ANALIZA DEPOLARYZACJI FAL RADIOWYCH W SIECIACH WBAN TYPU OFF-BODY
PublikacjaTechniki telekomunikacyjne stanowią niezwykle istotną część naszego życia. Ich dynamiczny rozwój w ostatnich latach wpłynął na sposób komunikacji pomiędzy ludźmi, a także pomiędzy ludźmi a maszynami. Komunikacja bezprzewodowa przeżywa rozkwit w erze urządzeń mobilnych oraz rozmaitych sensorów.
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An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublikacjaThis paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader's behavior must align for the best learning effects....
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An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublikacjaThis paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning effects....
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Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network
PublikacjaCOVID-19, also known as the Coronavirus disease-2019, is an transferrable disease that spreads rapidly, affecting countless individuals and leading to fatalities in this worldwide pandemic. The precise and swift detection of COVID-19 plays a crucial role in managing the pandemic's dissemination. Additionally, it is necessary to recognize COVID-19 quickly and accurately by investigating chest x-ray images. This paper proposed a...
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Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN)
PublikacjaThe European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases—the leading cause of global mortality—are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that...
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A Method of Fast and Simultaneous Calibration of Many Mobile FMCW Radars Operating in a Network Anti-Drone System
PublikacjaA market for small drones is developing very fast. They are used for leisure activities and exploited in commercial applications. However, there is a growing concern for accidental or even criminal misuses of these platforms. Dangerous incidents with drones are appearing more often, and have caused many institutions to start thinking about anti-drone solutions. There are many cases when building stationary systems seems to be aimless...
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Mutual Coupling Reduction in Antenna Arrays Using Artificial Intelligence Approach and Inverse Neural Network Surrogates
PublikacjaThis paper presents a novel approach to reduce undesirable coupling in antenna arrays using custom-designed resonators and inverse surrogate modeling. To illustrate the concept, two stand-ard patch antenna cells with 0.07λ edge-to-edge distance are designed and fabricated to operate at 2.45 GHz. A stepped-impedance resonator is applied between the antennas to suppress their mutual coupling. For the first time, the optimum values...
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Performance and Security Testing for Improving Quality of Distributed Applications Working in Public/Private Network Environments
PublikacjaThe goal of this dissertation is to create an integrated testing approach to distributed applications, combining both security and performance testing methodologies, allowing computer scientist to achieve appropriate balance between security and performance charakterstics from application requirements point of view. The constructed method: Multidimensional Approach to Quality Analysis (MA2QA) allows researcher to represent software...
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Personalized nutrition in ageing society: redox control of major-age related diseases through the NutRedOx Network (COST Action CA16112)
PublikacjaA healthy ageing process is important when it is considered that one-third of the population of Europe is already over 50 years old, although there are regional variations. This proportion is likely to increase in the future, and maintenance of vitality at an older age is not only an important measure of the quality of life but also key to participation and productivity. So, the binomial “nutrition and ageing” has different aspects...
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Magnetotransport Properties of Semi-Metallic Bismuth Thin Films for Flexible Sensor Applications
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Single Sensor Hot-Wire Anemometer Based on Thermal Time Constant Estimation
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<title>Spectrum analysis of measuring signals in sensor circuits with frequency outputs</title>
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Using trust management model for detection of faulty nodes in Wireless Sensor Networks
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Sensing properties of a mixed-potential type NOx sensor based on YSZ ceramic
PublikacjaW pracy przedstawiono wyniki badań czujnika typu ''mixed-potential''. Czujnik zbudowany jest na bazie YSZ z warstwą NiO. Zbadano właściwości czujnika w rożnych stężeniach NO2. Zbadano wpływ grubości warstwy NiO na właściwości czujnika.
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An application of advanced data processing methods to response analysis of electrocatalytic gas sensor
PublikacjaPrzedstawiono stosowane dotychczas oraz zaproponowano nowe metody analizy odpowiedzi czujników elektrokatalitycznych. Porównano ich właściwości.
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Metrological parameters of sulphur dioxide amperometric sensor containing addition of aprotic solvents
PublikacjaW publikacji zaprezentowano wyniki badań nad dodatku rozpuszczalnika aprotycznego do roztworu elektrolitu wewnętrznego czujnika na parametry metrologiczne prototypowego czujnika ditlenku siarki z membraną nafionową. Porównywano właściwości pięciu czujników różniących się składem elektrolitu. W każdym przypadku elektroda pracująca wykonana była ze złota, próżniowo napylonego na powierzchnię membrany. Roztwory elektrolitów zawierały...
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Resilience through multicast – An optimization model for multi-hop wireless sensor networks
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ZnO coated fiber optic microsphere sensor for the enhanced refractive index sensing
PublikacjaOptical fiber-based sensors are expected to become key components in the control of industrial processes,and the tuning and the enhancement of their sensing properties are crucial for the further developmentof this technology. Atomic Layer Deposition (ALD), a vapor phase technique allowing for the deposition ofconformal thin films, is particularly suited for the deposition of controllable thin films on challenging sub-strates....
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An Analog Sub-Miliwatt CMOS Image Sensor With Pixel-Level Convolution Processing
PublikacjaA new approach to an analog ultra-low power medium-resolution vision chip design is presented. The prototype chip performs low-level image processing algorithms in real time. Only a photo-diode, MOS switches and two capacitors are used to create an analog processing element (APE) that is able to realize any convolution algorithm based on a full 3x3 kernel. The proof-of-concept circuit is implemented in 0.35 µm CMOS technology,...
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Nickel Oxide Thin Film Sensor for Fluctuation-Enhanced Gas Sensing of Formaldehyde
PublikacjaNanocrystalline nickel-oxide-based thin films were prepared by advanced reactive gas deposition, and the response of these films to formaldehyde was studied by fluctuationenhanced sensing. Morphological and structural analyses showed porous deposits of nickel oxide particles with face-centered cubic structure. Resistance fluctuations were measured upon exposure to ethanol, formaldehyde and methane at 200 °C. Power density spectra...
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Optimization of white light interferometric temperature sensor. Workshop on Atomic and Molecular Physics.
PublikacjaW artykule przedstawiono metodę optymalizacji parametrów niskokoherencyjnego interferometrycznego czujnika temperatury wykorzystującego miniaturowy interferometr Farby Perota, pracujący w modzie odbiciowym.
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The new analyzer based on single pellistor sensor for determination of hydrogen and methane in air
PublikacjaW artykule przedstawiono rezultaty niedawnych badań nad konstrukcją prostego i selektywnego analizatora do monitoringu stężenia gazów wybuchowych w powietrzu. Opisano konstrukcję takiego urządzenia i wyniki prób laboratoryjnych dla gazowych mieszanin wzorcowych.
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A global atmospheric electricity monitoring network for climate and geophysical research
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NIRCa: An artificial neural network-based insulin resistance calculator
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Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons
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Neural network approach to 2D Kalman filtering in image processing
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Traffic Speed Deflectometer for Network-Level Pavement Management in Tennessee
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The role of inland ports in integration of polish waterways with the european network
PublikacjaArtykuł zawiera główne wnioski z badan, prowadzonych przez autorke w ramach projektu EUREKA. Przedstawiono krótki opis aktualnego stanu dróg wodnych w Polsce, uwarunkowania prawne żeglugi, znaczenie transportu wodnego w systemie transportowym kraju i najważniejsze porty śródlądowe. Opisano bariery rozwoju dród wodnych w Polsce. W artykule wykorzystano zdjęcia z dwóch rejsów, w ktorych autorka brała udzial w 2006 r.
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Influence of sulphate reducing bacteria on water quality in water network
PublikacjaW pracy zbadano wody podziemne oraz wody rozprowadzane w sieci wodociągowej pod kątem obecności bakterii redukujących siarczany (BRS). Stwierdzono, że BRS były obecne zarówno w wodzie surowej, a także w wodzie uzdatnionej oraz w przewodach sieci wodociągowej.
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Agent-Based Approach to RBF Network Training with Floating Centroids
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An Experimental Study of Scenarios for the Agent-Based RBF Network Design
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Measurement of engine and vehicle parameters using onboard CAN network
PublikacjaWspółczesne samochody wyposażane są w dużą liczbę układów elektronicznych, które wymagają wzajemnej wymiany informacji. Techniczne problemy niezależnego łączenia ze sobą dużej liczby sterowników doprowadziły do powstania pokładowych sieci wymiany danych. Do najpopularniejszych z nich zalicza się obecnie system CAN. W pracy przedstawiono metodę rozpoznawania ramek wiadomości transmitowanych w pokładowej sieci CAN pojazdu przez sterowniki....
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Photovoltaic bulk heterojunctions with interpenetrating network based on semiconducting polymers
PublikacjaPhotovoltaic cells are supposed to be the most common generators of useful electricity in the nearest future as they utilize inexhaustible carriers of renewable energy called photons. Despite the fact that 95% of worldwide applied photovoltaic devices are based on inorganic semiconductors the area of organic photovoltaics grows successively due to possibility of considerable reduction of manufacturing costs. Since the Heeger's...