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Search results for: deep learning renewable energy sources photovoltaics buildings long short-term memory micro-grids
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An A-Team approach to learning classifiers from distributed data sources
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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Decentralized energy systems. Social aspects of energy production and use (10h, 2 ECTS credits)
e-Learning CoursesThe main aim of the course is to introduce students to the socio-political aspects of the decentralization of energy systems. The motivation behind these changes is not only due to technological developments or economic issues. The main driving force are wider social and political trends. Many energy supply projects that are being developed and implemented today assume an active role for consumers in energy production, who become...
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Harmony Search to Self-Configuration of Fault-Tolerant Grids for Big Data
PublicationIn this paper, harmony search algorithms have been proposed to self-configuration of fault-tolerant grids for big data processing. Some tasks related to big data processing have been considered. Moreover, two criteria have been applied to evaluate quality of grids. The first criterion is a probability that all tasks meet their deadlines and the second one is grid reliability. Furthermore, some intelligent agents based on harmony...
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The Role of Crypto Trading in the Economy, Renewable Energy Consumption and Ecological Degradation
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Systems for storing and reducing energy consumption in residential buildings
PublicationW pracy przeprowadzany został przegląd różnych koncepcji magazynów energii cieplnej zintegrowanych z budynkiem mieszkalnym. Przedstawione zostały warianty różniące się między sobą pod względem kształtu, rozmiaru, wypełnienia, sposobu instalacji itp. Opisany został sposób zintegrowania systemów magazynujących z odnawialnymi źródłami energii. Następnie wskazane zostały inne rozwiązania projektowe umożliwiające redukcję zapotrzebowania...
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Long-term performance and microbial characteristics of the anammox-enriched granular sludge cultivated in a bench-scale sequencing batch reactor
PublicationThe anammox-enriched granular sludge was successfully formed during the long-term biogranulation experiment lasting over 330 days. The cultivation was conducted at 30 ◦C in a 10-L sequencing batch reactor (SBR) fed with synthetic medium containing ammonia, nitrite and trace elements. The properties of the developed granules were investigated in terms of the biomass activity (including the growth rate of anammox bacteria), size...
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Reliability and efficiency of pollution removal during long-term operation of a one-stage constructed wetland system with horizontal flow
PublicationThe paper presents the results of a study of the reliability and efficiency of pollutant removal during long term operation of a one-stage constructed wetland system with horizontal flow. The flow rate of the wastewater treatment plant was 1.2 m3·d-1 during the research period. Physical and chemical analyses of raw wastewater and treated effluent were carried out in the years 1997–2010 (14 years). During this study period, 56 series...
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GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition
PublicationIn the paper we present performance-energy trade-off investigation of training Deep Convolutional Neural Networks for image recognition. Several representative and widely adopted network models, such as Alexnet, VGG-19, Inception V3, Inception V4, Resnet50 and Resnet152 were tested using systems with Nvidia Quadro RTX 6000 as well as Nvidia V100 GPUs. Using GPU power capping we found other than default configurations minimizing...
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The literature review on boundary conditions of use for non-residential buildings. Educational buildings.
PublicationThis paper describes the results of qualitative and quantitative literature reviews on boundary conditions within educational buildings, emphasising the users' perspective. The studies were performed before and during the COVID-19 pandemic using Scopus, Taylor& Francis, and Web of Science databases. The boundary conditions are understood as special characteristics for use and or precondition, determining specific features of...
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublicationThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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Technology and Economics of Smart Grids and Sustainable Energy
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Can a city reach energy self-sufficiency by means of rooftop photovoltaics? Case study from Poland
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Direct brain stimulation modulates encoding states and memory performance in humans
PublicationPeople often forget information because they fail to effectively encode it. Here, we test the hypothesis that targeted electrical stimulation can modulate neural encoding states and subsequent memory outcomes. Using recordings from neurosurgical epilepsy patients with intracranially implanted electrodes, we trained multivariate classifiers to discriminate spectral activity during learning that predicted remembering from forgetting,...
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Residual current devices in installations with PV energy sources
PublicationThe paper presents the principles of residual current devices (RCDs) application in photovoltaic (PV) installations. Provisions of standards in this regard are commented on, in particular, attention is drawn to the lack of obligation to use of RCDs in PV installations. The issue of the shape of the earth fault current and the level of leakage currents in such installations are discussed. These factors influence the selection of...
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Phase change thermal energy storage – the experience of the materials preparation for the specific applications.
PublicationThermal energy storage and temperature stabilization is very important in many engineering applications. There are three kinds of thermal energy storage: sensible heat, latent heat and reversible chemical reaction heat. Phase change materials (PCM) absorb, store and release large amounts of energy in the form of latent heat, at constant temperature, called the transition temperature. Many innovative applications could be found...
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Memory and Imagination: Artwork as a Form of Testimony
PublicationAs the generation of witnesses is passing away and the testimonies of Shoah survivors are replaced by an inherited, culturally constructed memory - post-memory – art becomes a meaningful landmark in the landscape of memory. Although the narration of history - being the researchers’ discourse rather than an objective view - has been considered to a certain extent fictitious, the difference between real and fictional, between remembering...
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublicationBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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Organic photovoltaics - chosen aspects
PublicationThere are many types of organic and organic/inorganic (hybrid) photovoltaic devices that possess many beneficial properties over inorganic solar cells. That makes the former suitable for a broad range of applications and hence so much attention is paid to their development. In spite of intensive research carried on this field of science and technology there are still many crucial problems that need to be solved. Extensive knowledge...
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Smart Grids [2023/24]
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EPJ Photovoltaics
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PROGRESS IN PHOTOVOLTAICS
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Design analysis of ORC micro-turbines making use of thermal energy of oceans
PublicationThe article presents the results of the analysis of energy conversion cycles making use of thermal energy of oceans. The objects of analysis were two cases of closed Organic Rankine Cycle (ORC) power plants, which were: the cycle in which the vapour of the working medium was produced by warm oceanic water in the circum-equatorial zone, and the so-called “arctic” cycle in which this vapour was produced by non-frozen water in the circumpolar...
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Exploration of the Solubility Hyperspace of Selected Active Pharmaceutical Ingredients in Choline- and Betaine-Based Deep Eutectic Solvents: Machine Learning Modeling and Experimental Validation
PublicationDeep eutectic solvents (DESs) are popular green media used for various industrial, pharmaceutical, and biomedical applications. However, the possible compositions of eutectic systems are so numerous that it is impossible to study all of them experimentally. To remedy this limitation, the solubility landscape of selected active pharmaceutical ingredients (APIs) in choline chloride- and betaine-based deep eutectic solvents was...
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Enhanced energy conversion as a result of fluid-solid interaction in micro- and nanoscale
PublicationIt is known that nano- and micromechanics require new approaches to right describing of surface-like phenomena which lead to an enhanced energy conversion. In this work, a general form of surface forces that consist of a contribution from both the friction and mobility components has been extended to collect the effects of bulk and surface motion of a fluid. Quite similar impact can be observed for a solid-fluid mixture, where...
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Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
PublicationCurrent Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim...
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Sources and composition of chemical pollution in Maritime Antarctica (King George Island), part 1: Sediment and water analysis for PAH sources evaluation in the vicinity of Arctowski station
PublicationThe paper presents a study regarding the identification of polycyclic aromatic hydrocarbons (PAHs) in fresh waters and surface sediments on the western shore of Admiralty Bay over four sampling seasons from 2017 to 2018. The results were compared to literature data from 2016 to provide a more comprehensive image of the environmental fate of PAHs over the years. The highest value of Σ PAHs was 82.9 ng/L and 445 ng/g dw in water...
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Improvement of speech intelligibility in the presence of noise interference using the Lombard effect and an automatic noise interference profiling based on deep learning
PublicationThe Lombard effect is a phenomenon that results in speech intelligibility improvement when applied to noise. There are many distinctive features of Lombard speech that were recalled in this dissertation. This work proposes the creation of a system capable of improving speech quality and intelligibility in real-time measured by objective metrics and subjective tests. This system consists of three main components: speech type detection,...
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The detection of capsaicin and dihydrocapsaicin in horse serum following long-term local administration
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Pharmacokinetics of sufentanil during long-term infusion in critically ill pediatric patients
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The influence of G2 arrest abrogation on the long-term cytotoxicity of different genotoxic lesions
PublicationJak się uważa, zdolność komórek nowotworowych z uszkodzeniami DNA do zatrzymywania progresji w cyklu komórkowym w fazie G2 wydłuża czas na reperację tych uszkodzeń i zwiększa zdolność do przeżycia tych komórek. W pracy badaliśmy wpływ skrócenia bloku w fazie G2 w komórkach dwóch typów białaczek, poddanych działaniu związków przeciwnowotworowych indukujących różne typy uszkodzeń DNA, na efekt cytotoksyczny tych związków. Zwiększenie...
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The calculation long-term physical field created by water flow around the ship
PublicationThe paper presents a description of the problems with fluid flow around a ship. Using the described solution of the problem were performed numerical calculations using the boundary element method. Were also presented preliminary results of the calculation of pressure fields at the bottom of the ship, taking into account the impact of the bottom.
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Long-Term Outcomes of Laparoscopic Sleeve Gastrectomy—a Single-Center, Retrospective Study
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Reverse splits in international stock markets: Reconciling the evidence on long-term returns
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Effect of Long-Term Potato Starch Retention with Citric Acid on Its Properties
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Long-term researches of stress corrosion cracking of Al-Zn-Mg alloys
PublicationPraca przedstawia wyniki odporności na korozję naprężeniową stopów Al-Zn-Mg uzyskane w warunkach stacjonarnych. Dodatkowo określono wpływ składu chemicznego oraz obróbki cieplnej na odporność korozyjną tych stopów. Badania prowadzono w 3% NaCl w warunkach stałego obciążenia σ = 0.8R0.2 przez 1500 godzin. Stwierdzono, iż zawartość Zn i Mg oraz szybkość chłodzenia to główne czynniki wpływające na podatność tych stopów na korozje...
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Long-term simulation of the activated sludge process at the Hanover-Gümmerwald pilot WWTP
PublicationCelem badań było uzyskanie zweryfikowanego modelu ASM3P, który mógłby być wykorzystany jako narzędzie decyzyjne do wyznaczania maksymalnych przepływów w oczyszczalniach ścieków. Symulacje przeprowadzono w oparciu o wyniki badań obciążeń hydraulicznych w pilotowej oczyszczalni ścieków Hanower-Gummerwald. Wyniki symulacji zostały porównane z wynikami pomiarów on-line w komorach osadu czynnego (N-NH4, N-NO3) oraz w odpływie z osadnika...
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Durability of snow cover and its long-term variability in the Western Sudetes Mountains
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Long-term air temperature variation in the Karkonosze mountains according to atmospheric circulation
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Short Term Monitor of Photodegradation Processes in Ranitidine Hydrochloride Observed by FTIR and ATR FTIR
PublicationThe effects of degradation of ranitidine hydrochloride exposed to UVB radiation (l = 310 nm) and oxygen in a weathering chamber were studied by Fourier Transform Infrared spectroscopy (FTIR) and Attenuated Total Reflectance Fourier Transform Infrared spectroscopy (ATR-FTIR). ATR-FTIR profile indicated that the degradation was spatially heterogeneous. Significant amounts of photoproducts were detected only in a directly...
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Deep learning-based waste detection in natural and urban environments
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DentalSegmentator: robust deep learning-based CBCT image segmentation
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Generation of microbial colonies dataset with deep learning style transfer
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Social and Infrastructural Conditioning of Lowering Energy Costs and Improving the Energy Efficiency of Buildings in the Context of the Local Energy Policy
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Anna Kuczyńska-Łażewska dr inż.
PeopleAnna Kuczyńska-Łażewska graduated from the Faculty of Chemistry of the Gdańsk University of Technologyin the field of Chemistry (1st degree) and Environmental Protection Technologies, specialization: environmental protection systems (2nd degree). She completed an internship at the Leibniz-Institut für Katalyse in Rostock. She defended her doctorate in recycling of 1st and 2nd generation modules in 2018 at the Department of Energy...
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Wind speed, wind direction and solar radiation datasets; wind and solar energy resources analysis
Open Research DataDataset contain the results of wind speed, wind direction and solar radiation for wind and solar energy resources analysis performed in years 2008 and 2009. Application for efficiency and profitability of solar and wind power plants anaylsis and for energy generation forecasting algorithms design and anaysis. Datasets used in doctoral dissertations,...
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International Journal of Renewable Energy Research
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Current Sustainable/Renewable Energy Reports
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Renewable Energy and Power Quality Journal
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Thermal Barrier as a technique of indirect heating and cooling for residential buildings
PublicationW artykule zaprezentowano koncept pośredniego ogrzewania i chłodzenia budynków mieszkalnych promieniowaniem słonecznym zwany barierą termiczną. System składa się z polipropylenowych rurek umieszczonych w ścianach zewnętrznych, w których znajduje się płyn. Koncept jest zastosowany do stabilizacji i redukcji przepływu ciepła w kierunku prostopadłym do ścian. Wykonano obszerne obliczenia MES z zastosowaniem nowego systemu kontroli,...