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Local atomic order in low Pt-content nanocatalysts investigated in situ by XAS
PublicationThe unique features of X-ray absorption spectroscopy allow investigations of nanosized catalysts for fuel cells under working conditions. We present the results of an experiment carried out on a low Pt content electrocatalyst supported by a mesoporous heteropolyacid salt and used at the cathode of a proton exchange membrane fuel cell (PEMFC). The analysis of the EXAFS signal at the Pt L3-edge indicates that upon operating the fuel...
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Starogard Gdański 2019, Aleja Niepodległości, Pomorska and Mikołaja Kopernika street - video data - pedestrian, bicycles, vehicles.
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Aleja Niepodległości street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Aleja Niepodległości – Galeria Neptun street and Pomorska – Mikołaja Kopernika street. Camera was mounted on 7-meter-high mast.
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 1, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 1, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 3, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 3, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 5, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 5, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 2, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 2, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 4, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 4, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 1, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 1, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 6, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 6, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 3, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Values and problems analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 2, March 2021
Open Research DataThe data presents results of work within the studies of the development possibilities of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 2, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district...
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Time evolution of Electrochemical Impedance spectra of cathodically protected steel in artificial seawater
PublicationUsability of Electrochemical Impedance Spectroscopy data for better cathodic protection control was investigated. Carbon steel – S235JR2 grade specimen were exposed in artificial seawater environment. Samples were polarized and their potentials corresponded to four different cathodic protection degrees. Time evolution of Electrochemical Impedance spectra was investigated. Goodness of fit function (X2) was analysed in terms of proper...
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublicationIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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A wireless network for off-shore marine research
PublicationThis paper presents functionality, the most important technology developments and potential use cases of digital communication system, developed to facilitate selected tasks commonly required during off-shore operations and marine research, including: broadband information sharing between platforms isolated from an on-shore communication infrastructure, acquisition of large data-sets from variety of off-shore...
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A new approach to modeling of selected human respiratory system diseases, directed to computer simulations
PublicationThis paper presents a new versatile approach to model severe human respiratory diseases via computer simulation. The proposed approach enables one to predict the time histories of various diseases via information accessible in medical publications. This knowledge is useful to bioengineers involved in the design and construction of medical devices that are employed for monitoring of respiratory condition. The approach provides the...
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Machine Learning Techniques in Concrete Mix Design
PublicationConcrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...
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Determination of Odour Interactions in Gaseous Mixtures Using Electronic Nose Methods with Artificial Neural Networks
PublicationThis paper presents application of an electronic nose prototype comprised of eight sensors, five TGS-type sensors, two electrochemical sensors and one PID-type sensor, to identify odour interaction phenomenon in two-, three-, four- and five-component odorous mixtures. Typical chemical compounds, such as toluene, acetone, triethylamine, α-pinene and n-butanol, present near municipal landfills and sewage treatment plants were subjected...
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Performance analysis of an rfid-based 3d indoor positioning system combining scene analysis and neural network methods
PublicationThe main purpose of this research is to improve localization accuracy of an active Radio Frequency Identification, RFID tag, in 3D indoor space. The paper presents a new RFID based 3D Indoor Positioning System which shows performance improvement. The proposed positioning system combines two methods: the Scene Analysis technique and Artificial Neural Network. The results of both simulation using Log-Distance Path Loss Model and...
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Compensation Topologies in IPT Systems: Standards, Requirements, Classification, Analysis, Comparison and Application
PublicationWireless power transfer devices are becoming more relevant and widespread. Therefore, an article is devoted to a review, analysis and comparison of compensation topologies for an inductive power transfer. A new classification of topologies is developed. A lot of attention is paid to the problems of the physical fundamentals of compensation work, standards, safety, and five main topology requirements. It is determined, that topologies...
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Applying artificial neural networks for modelling ship speed and fuel consumption
PublicationThis paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
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Innovations in Wastewater Treatment: Harnessing Mathematical Modeling and Computer Simulations with Cutting-Edge Technologies and Advanced Control Systems
PublicationThe wastewater treatment landscape in Central Europe, particularly in Poland, has undergone a profound transformation due to European Union (EU) integration. Fueled by EU funding and rapid technological advancements, wastewater treatment plants (WWTPs) have adopted cutting-edge control methods to adhere to EU Water Framework Directive mandates. WWTPs contend with complexities such as variable flow rates, temperature fluctuations,...
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Rain Gardens GC_MS analysis dataset
Open Research DataThis dataset contains the results of samples analysis (no-target analysis: scan mode) using gas chromatography coupled with mass spectrometry GC–MS (GC-2030 NEXIS MS, Shimadzu, Japan or Thermo Scientific, Waltham, USA).
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Low-frequency tripping characteristics of residual current devices
PublicationFast development of various types of converters makes their utilization in industry and in domestic installations very common. Due to converters, an earth fault current waveform in modern circuits can be distorted or its frequency can be different than 50/60 Hz. Frequency of earth fault (residual) current influences tripping of residual current devices which are widely used in low voltage systems. This paper presents the behaviour...
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Voltage and Current Unbalance Reduction in Power Networks with Distributed Generation and Electric Vehicles
PublicationThe current development of prosumer microsources and the expected spread of electric vehicles may cause the appearance of significant current and voltage unbalance in low-voltage (LV) networks. This unbalance, which is an unfavorable phenomenon, may occur when using single-phase photovoltaic (PV) microsources and single-phase home chargers for electric vehicles. This paper presents a proposal for the symmetrization of the LV network...
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Plate heat exchanger with porous structure for potential use in ORC system
PublicationThe experimental analysis of passive heat transfer intensification in the case of plate heat exchanger has been carried out. The passive intensification was obtained by a modification of the heat transfer surface, which was covered by a metallic porous microlayer. The experiment was accomplished in two stages. In the first stage the commercial stainless steel gasketed plate heat exchanger was investigated, while in the second one...
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Plate heat exchanger with porous structure for potential use in ORC system
PublicationThe experimental analysis of passive heat transfer intensification in the case of plate heat exchanger has been carried out. The passive intensification was obtained by a modification of the heat transfer surface, which was covered by a metallic porous microlayer. The experiment was accomplished in two stages. In the first stage the commercial stainless steel gasketed plate heat exchanger was investigated, while in the second one...
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Influence of metallic porous microlayer on pressure drop and heat transfer of stainless steel plate heat exchanger
PublicationThe experimental analysis of passive heat transfer intensification in the case of plate heat exchanger has been carried out. On the heat transfer surface of heat exchanger the metallic porous layer was created. The experiment was accomplished in two stages. In the first stage the commercial stainless steel gasketed plate heat exchanger was investigated, while in the second one – the identical heat exchanger but with the modified...
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International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems
Conferences -
XRD results of melamine sponges impregnated by DES
Open Research DataThe set includes raw data from XRD analysis of pure melamine sponge and melamine sponges impregnated by:- Eucalyptol:Menthol (1:1)- Eucalyptol:Menthol (1:2)- Eucalyptol:Menthol (1:3)- Eucalyptol:Menthol (1:4)- Eucalyptol:Menthol (1:5)- Thymol:Menthol (1:1)
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Data accompanying the paper: "Productivity effects of trade in natural resources – comparison with mechanisms of technological specialization" (Zarach and Parteka, The World Economy, 2023)
Open Research DataThe folder contains the data and codes used in the analysis described in the paper: Zarach Z.H., Parteka A. (2023). Productivity effects of trade in natural resources – comparison with mechanisms of technological specialization. The World Economy, 00, 1–23. https://doi.org/10.1111/twec.13456
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NADES propolis extracts - update 2023 and synthesis of derivatives of propolis ingredients
Open Research DataThis dataset contains results of our investigation aiming in determination of antimicrobial potential of the propolis extracts produced with deep eutectic solvents
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Self-assembly of vertically oriented graphene nanostructures: multivariate characterisation by Minkowski functionals and fractal geometry
PublicationThe enormous self-assembly potential that graphene and its derived layered materials offer for responding to the contemporary environmental challenges has made it one of the most investigated materials. Hence, tuning its extraordinary properties and understanding the effect at all scales is crucial to tailoring highly customised electrodes. Vertically oriented graphene nanostructures, also known as carbon nanowalls (CNWs), due...
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Emulator and simulator of Terma SCANTER and ARPA radar data server
PublicationThe software solutions presented in this paper generate real-time data compatible with ARPA radar standard as well as Terma SCANTER 2001 radar cooperating with Video Distribution and Tracking (VDT) server. Two different approaches to this problem are considered: emulation based on the data captured from real devices and simulation of objects on the sea. For both of them architecture, implementation details and functional test results...
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Simulating Power Generation from Photovoltaics in the Polish Power System Based on Ground Meteorological Measurements—First Tests Based on Transmission System Operator Data
PublicationThe Polish power system is undergoing a slow process of transformation from coal to one that is renewables dominated. Although coal will remain a fundamental fuel in the coming years, the recent upsurge in installed capacity of photovoltaic (PV) systems should draw significant attention. Owning to the fact that the Polish Transmission System Operator recently published the PV hourly generation time series in this article, we aim...
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Predicting the impact of traffic–induced vibrations on buildings using artificial neural networks
PublicationTraffic–induced vibrations may constitute a considerable load to a building, cause cracking of plaster, cracks in load–bearing elements or even a global structural collapse of the whole structure [1-4]. Vibrations measurements of real structures are costly and laborious, not justified in all cases. The aim of the paper is to create an original algorithm, to predict the negative dynamic impact on the examined residential building...
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Analyzing and Visualizing Government-Citizen Interactions on Twitter to Support Public Policy-making
PublicationTwitter is widely adopted by governments to communicate with citizens. It has become a major source of data for analyzing how governments communicate with citizens and how citizens respond to such communication, uncovering important insights about government-citizen interactions that could be used to support public policy-making. This article presents research that aims at developing a software tool called Twitter Analytics for...
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An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
PublicationA problem related to the development of algorithms designed to find the structure of artificial neural network used for behavioural (black-box) modelling of selected dynamic processes has been addressed in this paper. The research has included four original proposals of algorithms dedicated to neural network architecture search. Algorithms have been based on well-known optimisation techniques such as evolutionary algorithms and...
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Machine Learning Algorithm-Based Tool and Digital Framework for Substituting Daylight Simulations In Early- Stage Architectural Design Evaluation
PublicationThe aim of this paper is to examine the new method of obtaining the simulation-based results using backpropagation of errors artificial neural networks. The primary motivation to conduct the research was to determine an alternative, more efficient and less timeconsuming method which would serve to achieve the results of daylight simulations. Three daylight metrics: Daylight Factor, Daylight Autonomy and Daylight Glare Probability have...
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Balance errors in numerical solutions of shallow water equations
PublicationThe analysis of the conservative properties of the shallow water equations is presented in the paper. The work focuses on the consistency of numerical solution of these equations with the conservation laws of mass and momentum. The investigations involve two different conservative forms which are solved by an implicit box scheme. The theoretical analysis supported by numerical experiments is carried out for rectangular channel...
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Diagnostyka łożysk silnika indukcyjnego na podstawie prądu zasilającego przy użyciu sztucznych sieci neuronowych
PublicationW artykule zawarto wyniki badań dotyczące diagnostyki łożysk silnika indukcyjnego na podstawie pomiarów prądu zasilającego z wykorzystaniem sztucznych sieci neuronowych. Zaprezentowano wyniki uczenia sieci oraz rezultaty testów przeprowadzonych na danych spoza zbioru uczącego. Badania wykonane zostały na obiektach z celowo wprowadzonymi uszkodzeniami łożysk. Przedstawiona nowa koncepcja zakłada użycie zestawu sieci neuronowych...
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LIDAR data from a topographic survey conducted in the area where the Gdańsk Głowa Fortress was located
Open Research DataThe measurement data was obtained during research aimed at utilizing LiDAR observations to detect remnants of the historical complex of the Gdańsk Głowa Fortress. The collected information comes from a spatial survey conducted using a scanner mounted on an unmanned aerial vehicle. This advanced measurement system allows for precise registration of the...
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The impact of carbon black particle size on curing characteristics of GTR modified with bitumen
Open Research DataPresented data shows an impact of particle size of GTR and three different loadings of carbon black on curing characteristics of GTR modified with bitumen. Samples were prepared using a two-roll mill – all in the same manner. After 24 hours of stabilization at ambient conditions they were submitted to the curing analysis via Rheometer Monsanto 100S....
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Permanent traffic count stations - expressway S6 Poland 2016
Open Research DataThe data includes traffic data from permanent traffic count stations located on the expressway S6 in the Tri-City Agglomeration area in Poland. The data covers the 12 months of 2016.
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A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
PublicationIn recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...
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Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
PublicationTreatment of municipal wastewater to meet the stringent effluent quality standards is an energy-intensive process and the main contributor to the costs of wastewater treatment plants (WWTPs). Analysis and prediction of energy consumption (EC) are essential in designing and operating sustainable energy-saving WWTPs. In this study, the effect of wastewater, hydraulic, and climate-based parameters on the daily consumption of EC by...
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Audio Feature Analysis for Precise Vocalic Segments Classification in English
PublicationAn approach to identifying the most meaningful Mel-Frequency Cepstral Coefficients representing selected allophones and vocalic segments for their classification is presented in the paper. For this purpose, experiments were carried out using algorithms such as Principal Component Analysis, Feature Importance, and Recursive Parameter Elimination. The data used were recordings made within the ALOFON corpus containing audio signal...
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Clean gas technologies - towards zero-emission repowering of Pomerania.
PublicationThe main aim this work is to show the different thermodynamic cycles which improve efficiency and/or decrease emission like: Cheng cycle, Szewalski cycle, LOTHECO cycle, hybrid pSOFC/GT cycle, inverse Brayton cycle, low-emission cycle and zero-emission cycle. For that purpose, cycles and results of analysis are first studied and, secondly, new concept is presented. The role of coupled analysis 0D and 3D in cycle’s devices is also...
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Small-scale passive emission chamber for screening studies on monoterpene emission flux from the surface of wood-based indoor elements
PublicationAnalysis of literature data published in the last fewyears leads to the conclusion that in the process of assessment of emission flux of organic compounds emitted from different types of equipment and finishing materials, new types of devices, among which small-scale passive emission chambers for the performance of in-situ research are designed and applied on a larger scale. These devices can be successfully used for the assessment...
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Rain Gardens SW particle size analysis dataset
Open Research DataThis dataset contains the results of laser diffraction particle size analysis of storm water runoff and storm water quality in rain garden units. Samples were collected from 4 different rain gardens in Gdansk, Poland.
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A framework for automatic detection of abandoned luggage in airport terminal
PublicationA framework for automatic detection of events in a video stream transmitted from a monitoring system is presented. The framework is based on the widely used background subtraction and object tracking algorithms. The authors elaborated an algorithm for detection of left and removed objects based on mor-phological processing and edge detection. The event detection algorithm collects and analyzes data of all the moving objects in...