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THE CONCEPT OF INTEGRATED SYSTEM FOR COLLECTING GEOGRAPHIC AND HYDROGRAPHIC DATA FOR NAVIGATION PURPOSES IN RIS
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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
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Communications in Statistics: Case Studies, Data Analysis and Applications
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Using LSTM networks to predict engine condition on large scale data processing framework
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
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Fluoride content in the hair in dependence of the place of residence, sex, dietary habits and anthropometric data
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Improved calculation of damage due creep by more accurate time to rupture data representation
PublicationReguła Robinsona (Linear Life Fraction Damage Rule) jest stosunkowo łatwa w użyciu dla różnorodnych warunków obciążenia. Z tego powodu jest ona powszechnie akceptowana i używana. Potencjalne możliwości poprawy dokładności obliczeń tą metodą daje zastosowanie specjalnych funkcji do aproksymacji wyników badań wytrzymałości czasowej. W pracy zaproponowano zastosowanie funkcji typu Spline oraz bardzo elastycznej funkcji Spline3D do...
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The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces
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Fast synchronous distribution network of data streams for RPC Muon Trigger in CMS experiment
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Changes in the addiction prevalence in Polish population between 1990-2019: Review of available data
PublicationThe 1989 collapse of the socialist political system in Poland initiated an avalanche of modifications regarding healthcare policy resulting with new institutions and programs dedicated to monitoring and preventing addiction. In the current article, we look at the available data allowing to track changes in (1) the prevalence of exposure to addictive substances and behaviors, and (2) changes of addictions prevalence in Poland...
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Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot
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SCRAMBLE’N’GAMBLE: a tool for fast and facile generation of random data for statistical evaluation of QSAR models
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Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
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New implementation of data standards for AI research in precision oncology. Experience from EuCanImage
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Drawing conclusions about reliability of power systems from small number of statistical data
PublicationW artykule podjęto próbę udzielenia odpowiedzi na pytanie, czy możliwe jest wyciągnięcie przydatnych w praktyce wniosków o niezawodności elementów technicznych, wchodzących w skład systemów energetycznych, mając do dyspozycji nieliczne dane statystyczne. W opinii autora jest to możliwe. Wskazano dwie drogi postępowania. Pierwsza opiera się na wykorzystaniu metod statystycznych. Druga wykorzystuje elementy teorii zbiorów rozmytych.
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N-way modelling of sediment monitoring data from Mar Menor lagoon, Spain
PublicationW artykule przedstawiono zastosowanie modelowania typu Tucker3 dla danych pochodzących z monitorowania chemizmu osadów obszaru laguny Mar Menor w Hiszpanii. Celem badania jest modelowanie i interpretacja frakcjonowania metali ciężkich w materii zawieszonej i frakcjach osadów wynikających z procesów sedymentacyjnych. Modelowanie ma na celu oszacowanie ryzyka środowiskowego ponieważ działalność ludzka ma znaczny wpływ na stan laguny....
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Cameras, microphones, and data storage in current monitoring systems.Technology trends, problems and potential solutions
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Geographic information system for remote integration of diverse under-water acoustic sensor data
PublicationMaritime and port areas throughout the world are exposed to many different hazards, like pollution, terrorism and natural disasters. Early detection, identification and preparation of appropriateesponse strategies is especially important in the case of semi-enclosed basins like the Baltic Sea, mainly due to the marine ecosystems' continuous absorption of pollutants including oil, heavy metals and chemicals. Many of those agents...
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Real-time web-based gis for analysis, visualization, and integration of marine environment data
PublicationWizaulizacja i integracja przestrzennych danych morskich zbieranych przez różnego rodzaju sensory i pochodzących z różnych źródeł stanowi istotny aspekt monitorowania środowiska morskiego. Ta praca przedstawia system GIS powstały na Katedrze Systemów Geoinformatycznych na Politechnice Gdańskiej. System umożliwia integrecję i wizualizację różnego rodzaju danych morskich, w szczególności pochodzących z sensorów akustycznych takich,...
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Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data
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Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements
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Common Data and Technological Partnership - The Foundation for the Development of Smart Cities - Poznań Case Study
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Sea surface temperature retrieval from MSG/SEVIRI data in the Baltic Sea area
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Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
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On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
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Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
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Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering
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Environmental Factors and the Risk of Developing Type 1 Diabetes—Old Disease and New Data
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Issue of quality and reliability of spatial records information in the context of data concerning boundary points
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Territorial Extrapolation of Basic Data as a Solution of the Problem of Its Deficiency during Mass Appraisal
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Parametric versus nonparametric modelling of dynamic susceptibility contrast enhanced MRI based data
PublicationDynamic tracking of a bolus of a paramagnetic agent (dynamic susceptibility contract - DSC) in MRI (magnetic resonance imaging) measurements is successfully used for assessment of the tissue perfusion and the other features and functions of the brain (i.e. cerebral blood flow - CBF, cerebral blood volume - CBV, mean transit time - MTT). The parametric and nonparametric approaches to the identification of MRI models are presented...
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Perception-based data processing in acoustics. Applications to music information retrieval and psychophysiology of hearing.
PublicationTematyka książki obejmuje w pierwszej kolejności opis mechanizmów kognitywnych leżących u podstaw percepcji muzyki. Przedstawione zostały również zagadnienia automatycznego rozpoznawania dźwięków instrumentów muzycznych i muzyki, zastosowanie nowych metod z dziedziny sztucznej inteligencji w szeroko rozumianej inżynierii dźwięku oraz komputerowych metod badania słuchu.
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Wide-band modulation and adaptive equalization techniques for fast and reliable underwater data transmission.
PublicationSzybkość transmisji w płytkim kanale podwodnym jest ograniczona ze względu na wielokrotne odbicia fal dźwiękowych oraz niestacjonarność kanału. Dla zapewnienia szybkiej i niezawodnej transmisji danych w systemach komunikacji stosowane są złożone techniki modulacji oraz equalizacji kanału. W artykule zaproponowano zastosowanie modulacji OFDM oraz equalizacji adaptacyjnej w systemie komunikacji podwodnej. Modulacja OFDM stosowana...
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Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams
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A Comparison between MD and EXAFS extracted Structural Data for TernaryRbBr(1-x)Ix.
PublicationStrukturę trójskładnikowych soli poddano analizie za pomocą metody EXAFS i symulacji M-D. Przedyskutowano przydatność używanego w symulacjach potencjału oddziaływań międzyatomowych.
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Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems
PublicationTe feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...
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Influence of YARN Schedulers on Power Consumption and Processing Time for Various Big Data Benchmarks
PublicationClimate change caused by human activities can influence the lives of everybody onthe planet. The environmental concerns must be taken into consideration by all fields of studyincludingICT. Green Computing aims to reduce negative effects of IT on the environment while,at the same time, maintaining all of the possible benefits it provides. Several Big Data platformslike Apache Spark orYARNhave become widely used in analytics and...
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Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation
PublicationModern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...
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Evaluation of the efficiency of the duty cycle of refuse collection vehicle based on real-world data
PublicationIn this paper a method of the efficiency evaluation of the duty cycle of Refuse Collection Vehicle is presented. Using real world data, two representative duty cycles were analysed. Total cycle efficiency was calculated, as well as the efficiency of particular cycle phases. Then, energy needed to collect and compact the waste and energy from fuel were compared. Measured and calculated values were shown on the diagrams illustrating...
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Energetic model of hydraulic system of refuse collection vehicle based on simulation and experimental data
PublicationThis paper presents an energetic model of hydraulic system of a refuse collection vehicle. First, benefits resulting from implementation of an energetic model in the industry and operation of a Refuse Collection Vehicle are briefly explained. Then, components of the energy consumption in hydraulic circuits of compactor and lifting device are described and combined into a comprehensive model that can be evaluated using basic measurement...
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublicationInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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A strategy for GPS data processing in a precise local network during high solar activity
PublicationThis paper presents the analyses connected with reduction of errors from ionospheric refraction using GPS data from local satellite networks. This is particularly essential during rising solar activity. The Bernese GPS Software v. 4.2 was used, as an analytical tool. The test data included measurements from a geodynamic network SUDETES situated in the Sudety Mountains across the border between the Czech Republic and Poland. A local...
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Research and analysis of high-speed data transmission radio link designed for maritime environment
PublicationIn these article the realization of digital radio link for high-speed data transmission was presented. Its concept and practical realization, using USRP devices from National Instruments, were described. Developed software for generation and reception of digital signals in baseband, including description of modulation types, and time and frequency synchronization mechanisms, was presented. Moreover, an operation of designed radio...
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Using Principal Component Analysis and Canonical Discriminant Analysis for multibeam seafloor characterisation data
PublicationThe paper presents the seafloor characterisation based on multibeam sonar data. It relies on using the integrated model and description of three types of multibeam data obtained during seafloor sensing: 1) the grey-level sonar images (echograms) of seabed, 2) the 3D model of the seabed surface which consists of bathymetric data, 3) the set of time domain bottom echo envelopes received in the consecutive sonar beams. The classification...
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Operational Enhancement of Numerical Weather Prediction with Data from Real-time Satellite Images
PublicationNumerical weather prediction (NWP) is a rapidly expanding field of science, which is related to meteorology, remote sensing and computer science. Authors present methods of enhancing WRF EMS (Weather Research and Forecast Environmental Modeling System) weather prediction system using data from satellites equipped with AMSU sensor (Advanced Microwave Sounding Unit). The data is acquired with Department of Geoinformatics’ ground...
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Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS
PublicationArtykuł prezentuje zastosowanie sieciowego Systemu Informacji Geograficznej do monitoringu i prezentacji wyników modelowania plam ropy na morzu. Omawiany system wykorzystuje technologie ESRI ArcIMS (Arc Internet Map Server) oraz Open Source GeoServer z biblioteką klienta OpenLayers w celu wizualizacji i mapowania rozprzestrzeniania się wycieku ropy w dwóch wybranych obszarach Morza Egejskiego w Grecji. Przedstawiony GIS stanowi...
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Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing
PublicationArtykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...
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Trade differentiation and the characteristics of new imported and exported products - international panel data analysis
PublicationDrawing on o large panel of international economies we have shown how the set of imported and exported products evolves in economic growth process. Strong activity at the extensive margin, manifested through the rise in the number of active export and import lines, is typical for early stages of development. Trade diversification tendency, typical for a predominant mass of observations in our panel, is associated with changes in...
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MAPSERVER – INFORMATION FLOW MANAGEMENT SOFTWARE FOR THE BORDER GUARD DISTRIBUTED DATA EXCHANGE SYSTEM
PublicationIn this paper the architecture of the software designed for management of position and identification data of floating and flying objects in Maritime areas controlled by Polish Border Guard is presented. The software was designed for managing information stored in a distributed system with two variants of the software, one for a mobile device installed on a vessel, an airplane or a car and second for a central server. The details...
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Global Value Chains and Wages: International Evidence from Linked Worker-Industry Data
PublicationUsing a rich dataset on over 110,000 workers from nine European countries and the USA we study the wage response to industry dependence on foreign value added. We estimate a Mincerian wage model augmented with an input-output interindustry linkages measure accounting for task heterogeneity across workers. Low and mediumeducated workers and those performing routine tasks experience (little) wage decline due to major dependency of...