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Search results for: LSFM
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SEM images of SFM, LSFM and SFMNb in as-prepared state and reduced
Open Research DataThis dataset contains SEM images taken for pristine strontium ferrite molybdate, as well as ones doped with lanthanum or niobium. Materials were characterized in powder, under high vacuum in secondary electron mode. The images are divided into folders for as-prepared samples and reduced (H2, 800 deg, 4 h) ones.
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Thin LSFO films for bolometers
PublicationPrzedstawiono metodę produkcji oraz temperaturowe zależności rezystancji cienkich warstw niestechiometrycznych tlenków (La,Sr)FeO3 (LSFO) przeznaczonych do zastosowań na detektory podczerwieni
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Badanie cienkowarstwowego bolometru z LSFO
PublicationW artykule przedstawiono wyniki badania procesów starzeniowych warstw z niestechiometrycznych tlenków Lantanowo-strontowo-żelazowych. Zaprezentowano wyniki pomiaru termicznej stałej czasowej bolometrów wykorzystujących badane warstwy. Przedstawiono wyniki bezkontaktowego pomiaru temperatury ciała czarnego o temperaturze 38 stopni Celcjusza.
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Optymalizacja warunków pracy grubowarstwowych bolometrów LSFO
PublicationOpisano sposób produkcji bolometrów wykorzystujących ceramiczne, przewodzące warstwy typu perowskitu z niestechiometrycznych tlenków lantanowo-strontowo żelazowych (LSFO) wykonanych technologią LTCC (Low Temperature Co-fired Ceramics). Zaprezentowano wyniki pomiarów parametrów tych bolometrów oraz pozwalające na wybór optymalnych warunków pracy.
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Emissivity of LSCO and LSFO films for bolometer applications.
PublicationPrzedstawiono sposób pomiaru oraz wyniki pomiarów emisyjności warstw LSCO i LSFO przeznaczonych na bolometry.
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ARIMA vs LSTM on NASDAQ stock exchange data
PublicationThis study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...
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Optimization of working conditions of thick-film LSFO bolometers
PublicationPrzedstawiono opracowaną przez autorów metodę wytwarzania bolometrów w technologii LTCC. Jako warstwy aktywne wykorzystano niestechiometryczne tlenki lantanowo-strontowo żelazowe (LSFO). Przedstawiono wyniki pomiarów wybranych właściwości bolometrów oraz charakterystyki wykorzystane w procesie doboru punktu pracy bolometru.
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LSTM-based method for LOS/NLOS identification in an indoor environment
PublicationDue to the multipath propagation, harsh indoor environment significantly impacts transmitted signals which may adversely affect the quality of the radiocommunication services, with focus on the real-time ones. This negative effect may be significantly reduced (e.g. resources management and allocation) or compensated (e.g. correction of position estimation in radiolocalisation) by the LOS/NLOS identification algorithm. This paper...
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Selected perowskite type LSFO thin films for the infrared detectors
PublicationPrzedstawiono technologię wytwarzania cienkich warstw ceramicznych tlenków lantanowo-strontowo-żelazowych (LSFO). Zaprezentowano konstrukcję bolometrycznych detektorów podczerwieni wykonanych z opracowanych warstw. Przedstawiono charakterystyki prądowo-napięciowe wybranych detektorów, wyniki pomiaru ich szumów i termicznej stałej czasowej. Przedstawione detektory były w stanie wykryć obiekt o temperaturze 38 stopni Celcjusza znajdujący...
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Samonośne warstwy LSFO na bolometry wykonane technologią LTCC
PublicationOpisano sposób produkcji ceramicznych, przewodzących warstwtypu perowskitu z niestechiometrycznych tlenków lantanowo-strontowo żelazowych (LSFO) wykonanych technologią LTCC )low temperature co-fired ceramics). Zaprezentowano pomiary parametrów tych warstw, charakteryzujących ich przydatność do produkcji bolometrów.
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Self-supporting LSFO films for bolometers made with LTCC technology
PublicationOpisano metodę wytwarzania przewodzących, tlenkowych warstw ceramicznych tlenków lantanowo-strontowo żelazowych (LSFO) technologią low temperature co-fired ceramics (LTCC). Przedstawiono rezultaty pomiarów parametrów warstw pod kątem przydatności do produkcji detektorów IR.
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Detection of thermal radiation using lanthanum-strontium-iron oxide (LSFO) bolometers
PublicationW artykule przedstawiono bolometr wykonany z tlenków lantanowo-strontowo-żelazowych zastosowany do detekcji promienowania podczerwonego. Parametry bolometru były badane za pomocą wzorcowego źródła poromieniowania o temperaturze 38°C (311 K) oddalonego od bolometru o 500 mm. W trakcie pomiarów uzyskano stosunek sygnał/szum wynoszący ok. 62 (tj. 35.9 dB). Na podstawie wyników pomiarów oszacowano dokładność pomiaru temperatury za...
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Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
PublicationA reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems....
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Using LSTM networks to predict engine condition on large scale data processing framework
PublicationAs the Internet of Things technology is developing rapidly, companies have an ability to observe the health of engine components and constructed systems through collecting signals from sensors. According to output of IoT sensors, companies can build systems to predict the conditions of components. Practically the components are required to be maintained or replaced before the end of life in performing their assigned task. Predicting...
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Approximation of Fractional Order Dynamic Systems Using Elman, GRU and LSTM Neural Networks
PublicationIn the paper, authors explore the possibility of using the recurrent neural networks (RNN) - Elman, GRU and LSTM - for an approximation of the solution of the fractional-orders differential equations. The RNN network parameters are estimated via optimisation with the second order L-BFGS algorithm. It is done based on data from four systems: simple first and second fractional order LTI systems, a system of fractional-order point...
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Using LSTM networks to predict engine condition on large scale data processing framework
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OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems
PublicationCurrently, 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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Broadband LFM signal source for a module-based diver detection sonar
PublicationPraca 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 PPG Signal Conditioning with Long Short‐Term Memory (LSTM) Network for Wearable Devices
PublicationThis paper presents an algorithm for real‐time detection of the heart rate measured on a person’s wrist using a wearable device with a photoplethysmographic (PPG) sensor and accelerometer. The proposed algorithm consists of an appropriately trained LSTM network and the Time‐Domain Heart Rate (TDHR) algorithm for peak detection in the PPG waveform. The Long Short‐Term Memory (LSTM) network uses the signals from the accelerometer...
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Long Short-Term Memory (LSTM) neural networks in predicting fair price level in the road construction industry
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Optymalizacja punktu pracy, ze względu na właściwości szumowe, warstw LSFO przeznaczonych do detekcji podczerwieni
PublicationW pracy przedstawiono proces optymalizacji warunków pracy detektora wykonanego z tlenku lantanowo-strontowo żelazowego (LSFO). Opisano proces doboru układu pracy dla detektora termicznego i realizację układu. Przedstawiono wyniki pomiarów szumu warstwy LSFO w zależności od prądu polaryzacji detektora. Zaprezentowano kierunki dalszych prac mających na celu wykorzystanie LSFO jako detektora termicznego.
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Emisyjność warstw tlenków lantanowo-strontowo-kobaltowych LSCO i lantanowo-strontowo-żelazowych LSFO praeznaczonych na bolometry
PublicationPrzedstawiono metodę pomiaru oraz wyniki pomiarów emisyjności grubych warstw niestechiometrycznych tlenków LSFO i LSCO. Duża emisyjność jest korzystna przy zastosowaniu tych warstw na detektory IR.
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High temperature XRD diffraction patterns collected during the reoxidation process of SFM-based compounds
Open Research DataThis dataset contains three file folders for SFM, LSFM (La-doped) and SFMNb (Nb-doped) respectively. Samples were reduced prior to the XRD measurements. The measurements were performed on Philipps X’Pert Pro diffractometer using a high-temperature Anthon Paar HT-1200 oven adapter. Scans were performed each 50 deg. in air. The data in dataset were already...
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A novel method of local chirp-rate estimation of LFM chirp signals in the time-frequency domain
PublicationIn the paper, novel dynamic representations of a complex signal in the time-frequency domain are introduced. The proposed approach is based on using the gradient of the short-time Fourier transform complex phase. A channelized instantaneous complex frequency (CICF) and a complex local group delay (CLGD) are included in the presented signal representations. An application of the newly-introduced distributions is demonstrated by...
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DSC and TG results for strontium ferrite molybdate: pristine La, or Nb-doped
Open Research DataThis dataset consists of DSC and TG data collected for SFM, LSFM (La-doped) and SFMNb (Nb-doped) compounds, which were undertaken to analyze the reoxidation process of reduced compounds and its transition to double-perovskite structure .The appropriate amount of the powder (~10 mg with 10% tolerance factor) were placed into the alumina crucible and...
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XRD diffraction patterns for strontium ferrite molybdate-based compounds: as-prepared, reduced and reoxidized
Open Research DataThe dataset contains the XRD diffractograms collected at room temperature for SFM, LSFM and SFMNb in 3 different oxidation states, namely: as-prepared, reduced and reoxidized.
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News that Moves the Market: DSEX-News Dataset for Forecasting DSE Using BERT
PublicationStock market is a complex and dynamic industry that has always presented challenges for stakeholders and investors due to its unpredictable nature. This unpredictability motivates the need for more accurate prediction models. Traditional prediction models have limitations in handling the dynamic nature of the stock market. Additionally, previous methods have used less relevant data, leading to suboptimal performance. This study...
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The electrical conductivity of pristine, La-, and Nb-doped SFM measured in air and hydrogen atmospheres
Open Research DataThis dataset consists of an Excel sheet with the result of DC4W method of electrical measurements. The measurements were conducted on pristine strontium ferrite molubdate as well as ones doped with La and Nb. Additionally two samples co-doped with La and Ni/Co were analyzed. Pellets were prepared by high temperature sintering at 1400 deg. C, then cut...
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Characteristics of La0.8Sr0.2Ga0.8Mg0.2O3-delta -supported micro-tubular solid oxide fuel cells with bi-layer and tri-layer electrolytes
PublicationIn this study, La0.8Sr0.2Ga0.8Mg0.2O3−δ (LSGM)-supported micro tubular solid oxide fuel cells (T-SOFCs) with two different configurations, one containing an LSGM–Ce0.6La0.4O2−δ (LDC) bi-layer electrolyte (Cell A) and one containing an LDC–LSGM–LDC tri-layer electrolyte (Cell B), were fabricated using extrusion and dip-coating. After optimizing the paste formulation for extrusion, the flexural strength of the dense and uniform LSGM...
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Characteristics of La 0.8 Sr 0.2 Ga 0.8 Mg 0.2 O 3-δ -supported micro-tubular solid oxide fuel cells with LaCo 0.4 Ni 0.6-x Cu x O 3-δ cathodes
PublicationIn this study, micro-tubular solid oxide fuel cells (T-SOFCs) with extruded La0.8Sr0.2Ga0.8Mg0.2O3-δ (LSGM) electrolyte as the mechanical support and LaCo0.4Ni0.6O3-δ (LCNO) or LaCo0.4Ni0.4Cu0.2O3-δ (LCNCO) as cathodes were prepared and characterized. Partial substitution of Cu for the Ni-ion positions in the LCNO lattices was found to significantly enhance the densification and accelerate the grain growth. The porosity-corrected...
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A Simple Neural Network for Collision Detection of Collaborative Robots
PublicationDue to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...
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Using Long-Short term Memory networks with Genetic Algorithm to predict engine condition
PublicationPredictive maintenance (PdM) is a type of approach for maintenance processes, allowing maintenance actions to be managed depending on the machine's current condition. Maintenance is therefore carried out before failures occur. The approach doesn’t only help avoid abrupt failures but also helps lower maintenance cost and provides possibilities to manufacturers to manage maintenance budgets in a more efficient way. A new deep neural...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings
PublicationInstalling photovoltaic (PV) systems in buildings is one of the most effective strategies for achieving sustainable energy goals and reducing carbon emissions. However, the requirement for efficient energy management, the fluctuating energy demands, and the intermittent nature of solar power are a few of the obstacles to the seamless integration of PV systems into buildings. These complexities surpass the capabilities of rule-based...
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SrCe0.9In0.1O3-δ-based reversible symmetrical Protonic Ceramic Cell
PublicationIn-doped SrCe0.9In0.1O3-δ (SCI) perovskite-type oxide is utilized as the solid electrolyte, as well as a component, together with SrFe0.75Mo0.25O3-δ (SFM) compound, in the composite-type electrodes to construct symmetrical Protonic Ceramic Fuel Cells (PCFC). With good mutual stability of SCI and SFM at high temperatures in water vapor-containing reducing and oxidizing conditions, as well as sufficient ionic conductivity with high...
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Using deep learning to increase accuracy of gaze controlled prosthetic arm
PublicationThis paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...
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The XAS spectra of O-K edges, Fe-L edges in pristine, La-, and Nb-doped SFM in 3 states: as-prepared, reduced and reoxidized
Open Research DataThis dataset contains the normalized and exported to *.txt spectra for x-ray absorption spectroscopy. The samples analyzed were strontium ferrite molybdate based, doped with lanthanum and niobium. The powders were measured in as-prepared state (denoted in filename as AP), reduced (red) and reoxidized (reox). The filenames are written accordingly: Edge_(optional:...
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Investigation methods of ionic conductivity measurements in polycrystalline MIEC (mixed ionic-electronic conductor) based on perovskite ceramics
PublicationPaper about the measurements of ionic conductivity in LSM and strontium titanate ceramics.
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Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm
PublicationIntroduction: Intracranial hemorrhage detection in 3D Computed Tomography (CT) brain images has gained more attention in the research community. The major issue to deal with the 3D CT brain images is scarce and hard to obtain the labelled data with better recognition results. Methods: To overcome the aforementioned problem, a new model has been implemented in this research manuscript. After acquiring the images from the Radiological...
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Effects of La0.8Sr0.2MnO3 and Ag electrodes on bismuth-oxide-based low-temperature solid electrolyte oxygen generators
PublicationIn this study, La0.8Sr0.2MnO3 (LSM) was used as the ceramic electrode in a (Bi1.50Y0.50)0.98Zr0.04O3+δ (BYO)-based solid electrolyte oxygen generator (SEOG) and its performance was compared with that of a previously studied high-fire Ag electrode. Among La0.6Sr0.4Co0.2Fe0.8O3, LaNi0.6Fe0.4O3, Cu1.4Mn1.6O4, and LSM materials, only LSM materials did not trigger any chemical reaction or interdiffusion with BYO at temperatures up to...
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Fiber - optic low-coherence tomography system for visualization of internal structure of ceramic materials
PublicationW artykule przedstawiono światłowodowy system dwuwymiarowej wizualizacji niejednorodnych struktur warstw ceramicznych. Omówiono projekt i fizyczną realizację układu wykorzystującego optyczną, niskokoherentną reflektometrię optyczną, która umożliwia niedestrukcyjne obrazowanie wewnętrznych struktur różnych materiałów. W pracy przedstawiono przykładowe wyniki pomiarów wewnętrznych warstw LSFO.
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Niskokoherentny, interferometryczny system do badaniawłaściwości materiałów ceramicznych
PublicationPrzedstawiono światłowodowy system dwuwymiarowej wizualizacjiniejednorodnych struktur warstw ceramicznych. Omówiono projekti fizyczną realizację układu wykorzystującego optyczną, niskokoherentną reflektometrię optyczną, która umożliwia nieinwazyjne i bezkontaktowe obrazowanie wewnętrznych struktur różnych materiałówsilnie rozpraszających promieniowanie. Przedstawiono przykładowewyniki pomiarów wewnętrznych warstw ceramiki LSFO....
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High-performance anode-supported solid oxide fuel cells with co-fired Sm0.2Ce0.8O2-δ/La0.8Sr0.2Ga0.8Mg0.2O3−δ/Sm0.2Ce0.8O2-δ sandwiched electrolyte
PublicationIn this study, intermediate-temperature solid oxide fuel cells (IT-SOFCs) with a nine-layer structure are constructed via a simple method based on the cost-effective tape casting-screen printing-co-firing process with the structure composed of a NiO-based four-layer anode, a Sm0.2Ce0·8O2-δ(SDC)/La0·8Sr0.2Ga0.8Mg0·2O3−δ (LSGM)/SDC tri-layer electrolyte, and an La0·6Sr0·4Co0·2Fe0·8O3-δ (LSCF)-based bi-layer cathode. The resultant...
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Efficiency of Artificial Intelligence Methods for Hearing Loss Type Classification: an Evaluation
PublicationThe evaluation of hearing loss is primarily conducted by pure tone audiometry testing, which is often regarded as golden standard for assessing auditory function. If the presence of hearing loss is determined, it is possible to differentiate between three types of hearing loss: sensorineural, conductive, and mixed. This study presents a comprehensive comparison of a variety of AI classification models, performed on 4007 pure tone...
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Autoencoder application for anomaly detection in power consumption of lighting systems
PublicationDetecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...
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Chemical interaction between perovskite La0.6Sr0.4FeO3 and Super-Ionic Zr0.84Y0.16Ox
PublicationW pracy przedstawiono wyniki badań interakcji chemicznej pomiędzy materiałem perowskitowym LSF a materiałem superjonowym YSZ. Materiał superjonowy został wytworzony w niskiej temperaturze z użyciem prekusora polimerowego i zawiesiny proszku ceramicznego.W badaniach korzystano z spektroskopii rentgenowskiej.
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Fabrication of solid oxide fuel cell supported on speciallyperformed ferrite-based perovskite cathode
PublicationW pracy przedstawiono warunki technologiczne niezbedne do wytworzenia tlenkowego ogniwa paliwowego na elencie nośnym z materiału perowskitowego LSF. Jako elektrolit stosowana była ceramika z tlenku ceru. Między innymi badany były właściwości elektryczne zarówno materiału katodowego jak i ogniwa.
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Shallow-Water Acoustic Communications in Strong Multipath Propagation Conditions
PublicationA phenomenon that has a strong impact on signal transmission conditions in Underwater Acoustic Communication (UAC) systems is multipath propagation. As a result of multipath propagation, the transmitted signal undergoes time dispersion which results in inter-symbol interference observed on the receiving side. Time dispersion is large, especially in horizontal channels in shallow waters which significantly limits the transmission...
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Methodology for Performing Bathymetric Measurements of Shallow Waterbodies Using an UAV, and their Processing Based on the SVR Algorithm
PublicationState-of-art methods of bathymetric measurements for shallow waterbodies use Global Navigation Satellite System (GNSS) receiver, bathymetric Light Detection and Ranging (LiDAR) sensor or satellite imagery. Currently, photogrammetric methods with the application of Unmanned Aerial Vehicles (UAV) are gathering great importance. This publication aims to present step-by-step methodology for carrying out the bathymetric measurements...
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Confocal microscopy analysis of DNA DSB in telomerase negative cells after exposure to TXT2 and TXT4
Open Research DataThe data sets contain confocal microscopic images showing the γ-H2AX with TRF2 after treatment of NHBE and U2OS cell lines with TXT2 and TXT4 in equitoxic concentrations. Images were acquired with an LSM 800 inverted laser scanning confocal microscope (Carl Zeiss; Dresden, Germany) equipped with an Airyscan detector using a ×63 1.4 NA Plan Apochromat...