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Search results for: big data analysis
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OCENA DOBROSTANU W KRAJACH OECD Z WYKORZYSTANIEM DATA ENVELOPMENT ANALYSIS
PublicationDobrostan (well-being) jest pojęciem wieloaspektowym obejmującym czynniki wpływające na satysfakcję z życia. Celem artykułu jest ocena dobrostanu społeczeństw krajów OECD w 2013 roku, na podstawie danych z bazy OECD Regional Well-Being. Uwzględniono 9 obszarów: dochody gospodarstw domowych, miejsce pracy, warunki zamieszkania, poziom wykształcenia, zdrowie, środowisko, bezpieczeństwo, zaangażowanie obywatelskie i dostęp do usług....
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The dimensions of national competitiveness: the empirical analysis based on The World Economic Forum’s data
PublicationThe aim of this research is to determine the minimum number of uncorrelated dimensions which can describe national competitiveness (NC). NC is thought of as the ability of a nation to provide a conducive environment for its firms to prosper. It is shown that the environment affects national productivity catalytically through the interactions with the production factors while itself remaining unchanged. Selected World Economic...
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An application of advanced data processing methods to response analysis of electrocatalytic gas sensor
PublicationPrzedstawiono stosowane dotychczas oraz zaproponowano nowe metody analizy odpowiedzi czujników elektrokatalitycznych. Porównano ich właściwości.
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The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development
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Analysis of Business Customers’ Energy Consumption Data Registered by Trading Companies in Poland
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Performance analysis of data transmission in MC-CDMA radio interface with turbo codes
PublicationMulti-carrier code division multiple access (MC-CDMA) technique is a combination of two radio access techniques: CDMA and orthogonal frequency division multiplexing and has the advantages of both techniques. The paper presents the design of transmitter and receiver for MC-CDMA radio interface. It also presents encoders and decoders of turbo codes which were used in simulation of the MC-CDMA technique. Two turbo codes with 8-state...
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Algorithms for spatial analysis and interpolation of discrete sets of Critical Infrastructure hazard data
PublicationNowo opracowane zaawansowane narzędzia technologii informacyjnych i komunikacyjnych (TIK) ujawniają swoją przydatność do przewidywania różnego rodzaju zagrożeń oraz minimalizowania związanego z nimi potencjalnego ryzyka. Jednakże większość tych narzędzi operuje jedynie na niektórych typach infrastruktury i zaniedbuje ich przestrzenne interakcje z otoczeniem oraz innymi strukturami. Niniejszy artykuł zawiera propozycje kilku algorytmów...
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Multivariate analysis of impedance data obtained for coating systems of varying thickness applied on steel
PublicationElectrochemical impedance spectroscopy (EIS) has proven to be a valuable test method for the electrochemical characterization of protective coatings on metals. The common way of analysis in impedance spectroscopy is to model the impedance spectrum by means of an equivalent circuit and to extract the quantity of interest using optimization techniques. A model, corresponding to the behavior of the sample under testing, is important...
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Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot
PublicationMeasurements in the coastal zone are carried out using various methods, including Global Navigation Satellite Systems (GNSS), hydroacoustic and optoelectronic methods. Therefore, it is necessary to develop coordinate transformation models that will enable the conversion of data from the land and marine parts to one coordinate system. The article presents selected issues related to the integration of geodetic and hydrographic data....
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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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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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Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot
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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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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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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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Analysis of server-side and client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and geoportal
PublicationThe last decade has seen a rapid evolution of processing, analysis and visualization of freely available geographic data using Open Source Web-GIS. In the beginning, Web-based Geographic Information Systems employed a thick-client approach which required installation of platform-specific browser plugins. Later on, research focus shifted to platform-independent thin client solutions in which data processing and analysis was performed...
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Using Synchronously Registered Biosignals Dataset for Teaching Basics of Medical Data Analysis – Case Study
PublicationMedical data analysis and processing strongly relies on the data quality itself. The correct data registration allows many unnecessary steps in data processing to be avoided. Moreover, it takes a certain amount of experience to acquire data that can produce replicable results. Because consistency is crucial in the teaching process, students have access to pre-recorded real data without the necessity of using additional equipment...
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Driving Performance Indicators of Electric Bus Driving Technique: Naturalistic Driving Data Multicriterial Analysis
PublicationThe issue of electric energy saving in public transport is becoming the key area of interest. By improving of driving techniques and the implementation of eco-driving, it is possible to save electric energy. Systems that help to decrease energy consumption and to reduce fuel emissions are becoming popular in vehicles powered by diesel engines. However, these methods have not yet gained popularity in electric vehicles. Therefore,...
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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublicationWe proposed to apply a specific machine learning technique called Self-Organising Maps (SOM) to identify similarities in the performance of muscles around human temporomandibular joint (TMJ). The performance was assessed by measuring muscle activation with the use of surface electromyography (sEMG). SOM algorithm used in the study was able to find clusters of data in sEMG test results. The SOM analysis was based on processed sEMG...
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Wykorzystanie Data Envelopment Analysis do porównania polityki wiekowej w krajach Unii Europejskiej
PublicationCelem artykułu jest zbudowanie modelu, bazującego na Data Envelopment Analysis (DEA), pozwalającego na porównanie działań związanych z polityką wiekową w krajach Unii Europejskiej. Zastosowano model z ograniczeniami na wagi, pozwalający na stworzenie rankingu i określenie kierunków kształtowania polityki wiekowej. Wykorzystano dane pochodzące z bazy danych Global AgeWatch Index 2013.
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Comprehensive Comparison of a Few Variants of Cluster Analysis as Data Mining Tool in Supporting Environmental Management
PublicationA few variants of hierarchical cluster analysis (CA) as tool of assessment of multidimensional similarity in environmental dataset are compared. The dataset consisted of analytical results of determination of metals (Na, K, Ca, Sc, Fe, Co, Zn, As, Br, Rb, Mo, Sb, Cs, Ba, La, Ce, Sm, Hf and Th) in ambient air dried and kept alive, by the means of hydroponics, moss baskets collected in 12 locations on the area of Tricity (Poland)....
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Self-Organising map neural network in the analysis of electromyography data of muscles acting at temporomandibular joint.
PublicationThe temporomandibular joint (TMJ) is the joint that via muscle action and jaw motion allows for necessary physiological performances such as mastication. Whereas mandible translates and rotates [1]. Estimation of activity of muscles acting at the TMJ provides a knowledge of activation pattern solely of a specific patient that an electromyography (EMG) examination was carried out [2]. In this work, a Self-Organising Maps (SOMs)...
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Open extensive IoT research and measurement infrastructure for remote collection and automatic analysis of environmental data.
PublicationInternet of Things devices that send small amounts of data do not need high bit rates as it is the range that is more crucial for them. The use of popular, unlicensed 2.4 GHz and 5 GHz bands is fairly legally enforced (transmission power above power limits cannot be increased). In addition, waves of this length are very diffiult to propagate under field conditions (e.g. in urban areas). The market response to these needs are the...
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Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data
PublicationOur paper aims to investigate the impact of COVID‐19 on private sector companies in terms of sales, production, finance and employment. We check whether the country and industry in which companies operate, government financial support and loan access matter to the behaviour and performances of companies during the pandemic. We use a microdata set from a worldwide survey of more than 15,729 companies conducted between April and...
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Measurement of idlers rotation speed in belt conveyors based on image data analysis for diagnostic purposes
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Seeking genetic signature of radiosensitivity - a novel method for data analysis in case of small sample sizes
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Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations
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X-ray images of Baltic herring. Data analysis
Open Research DataBased on the developed methodology for the: (i) optimal method of catching, (ii) transporting and storing fish, (iii) measuring and (iv) analyzing X-rays images, the existing collection of X-ray images of Baltic herring, caught in October 2002 during the Swedish component of the Baltic International Acoustic Survey (BIAS) in the Baltic proper (ICES...
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Analysis of effect of overloaded vehicles on fatigue life of flexible pavements based on weigh in motion (WIM) data
PublicationOverloaded vehicles have a significant impact on pavement fatigue life and distress. As the studies show, the phenomena intensify when the control of traffic is poor. The paper presents the results of the research including analysis of weigh in motion data from eight stations and analysis of asphalt pavement fatigue caused by mixed traffic. Distributions of vehicles axles load including the multiple axles effects are presented....
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Ontological Modeling for Contextual Data Describing Signals Obtained from Electrodermal Activity for Emotion Recognition and Analysis
PublicationMost of the research in the field of emotion recognition is based on datasets that contain data obtained during affective computing experiments. However, each dataset is described by different metadata, stored in various structures and formats. This research can be counted among those whose aim is to provide a structural and semantic pattern for affective computing datasets, which is an important step to solve the problem of data...
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Comprehensive Analysis of MILE Gene Expression Data Set Advances Discovery of Leukaemia Type and Subtype Biomarkers
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Selection of Methods of Surface Texture Characterisation for Reduction of the Frequency-Based Errors in the Measurement and Data Analysis Processes
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Data analysis of FTIR spectra for study of outlet gases of Solid Oxide Fuel Cells fuelled by biogas
PublicationW pracy przedstawiono system umożliwiający połączenie spektroskopii FTIR z specjalnie zaprojektowanym oprogramowaniem w celu uzyskania informacji o stężeniach gazów wylotowych z ogniw paliwowych SOFC. Przebadane zostały główne produkty reformingu biogazu: tlenek węgla, dwutlenek węgla, metan oraz wodór. Opisane oprogramowanie umożliwia w prosty i szybki sposób uzyskanie informacji o gazach wylotowych ogniwa paliwowego.
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The analysis of resistante to noise and edge jitter of the chosen methodsof recovering the data transmitted over a radio link.
PublicationW artykule porównano odporność na szumy i zakłócenia wybranych metod synchronizacji danych przesyłanych drogą radiową. Wybrano następujące metody:próbkowanie nadmiarowe i decyzja większościowa w odniesieniu do ciągu danych NRZ oraz metoda korelacyjna przeznaczona dla ciągu danych zakodowanych sposobem Manchester. Efektywność wyrażono jako liczbę pakietów, które osiągnęły synchronizację ramki do całkowitej liczby nadanych...
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Analysis of spectral data by complementary methods. Inspection of the molecular complex in N,N-dimethylformamide - methanol mixtures
PublicationDane widmowe FTIR mieszanin N,N-dimetyloformamidu z metanolem poddano anlizie faktorowej oraz analizie metodą ważonych widm różnicowych. Przydatność obu metod analizy w odniesieniu do układów z wiązaniem wodorowym poddano krytycznej dyskusji. Stwierdzono obecność kompleksu molekularnego typu 1:1 w całym zakresie składów mieszanin. Forma tego kompleksu zależy jednak od składu roztworu. Postulowano występowanie słabych wiązań wodorowych...
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IEEE International Conference on Big Data
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Multi-Temporal Analysis of Changes of the Southern Part of the Baltic Sea Coast Using Aerial Remote Sensing Data
PublicationUnderstanding processes that affect changes in the coastal zone and the ability to predict these processes in the future depends on the period for which detailed monitoring is carried out and on the type of coast. This paper analyzes a southern fragment of the Baltic coast (30 km), where there has been no anthropogenic impact (Slowinski National Park). The study was carried out covering a time interval of 65 years. Historic and...
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Neural network training with limited precision and asymmetric exponent
PublicationAlong with an extremely increasing number of mobile devices, sensors and other smart utilities, an unprecedented growth of data can be observed in today’s world. In order to address multiple challenges facing the big data domain, machine learning techniques are often leveraged for data analysis, filtering and classification. Wide usage of artificial intelligence with large amounts of data creates growing demand not only for storage...
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Birthweight and the risk of childhood-onset type 1 diabetes: a meta-analysis of observational studies using individual patient data
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Why do Open Government Data initiatives fail in developing countries? A root cause analysis of the most prevalent barriers and problems
PublicationOpen government data (OGD) include the provision of government data, which have so far been reserved for the provision of public utilities and services, wherein different stakeholders may create value out of the same source. Recently, OGD initiatives around the world have dampened or were found to be inadequate for one or other reasons. The present study seeks to underline the root causes behind these inadequate or stalled initiatives...
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Big Data 2023
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The Impact of Direct Normal Irradiation on the Solar Tower Power Plant Performance based on Real and Satellite Data: Analysis on Algerian Regions
PublicationThe present paper presents a deep study on the possibility of implementing Concentrated Solar Power (CSP) plants in Algeria for the production of the electrical energy. Indeed, this paper focusses mainly on the main parameters, which can have an important impact on the choice of the location, the dimension and the available thermal energy storage system. In this study, three main parameters are investigate...
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Surgical Site Infection after Breast Surgery: A Retrospective Analysis of 5-Year Postoperative Data from a Single Center in Poland
PublicationBackground and Objectives: Surgical site infection (SSI) is a significant complication of non-reconstructive and reconstructive breast surgery. This study aimed to assess SSI after breast surgery over five years in a single center in Poland. The microorganisms responsible for SSI and their antibiotic susceptibilities were determined. Materials and Methods: Data from 2129 patients acquired over five years postoperatively by the...
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Analysis of moisture conditions in the lowland areas using high resolution spectral data from the Sentinel-2 satellite and the GIS tools
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Methods of quality assessment and analysis of data given in customer service process on example of selected urban communication organization - result of research 2016
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Intelligent Data Analysis
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Discriminating macromolecular interactions based on an impedimetric fingerprint supported by multivariate data analysis for rapid and label-free Escherichia coli recognition in human urine
PublicationThis manuscript presents a novel approach to address the challenges of electrode fouling and highly complex electrode nanoarchitecture, which are primary concerns for biosensors operating in real environments. The proposed approach utilizes multiparametric impedance discriminant analysis (MIDA) to obtain a fingerprint of the macromolecular interactions on flat glassy carbon surfaces, achieved through self-organized, drop-cast,...
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Concentration of Potentially Bioactive Compounds in Italian Extra Virgin Olive Oils from Various Sources by Using LC-MS and Multivariate Data Analysis
PublicationHigh quality extra virgin olive oils represent an optimal source of nutraceuticals. The European Union (EU) is the world’s leading olive oil producer, with the Mediterranean region as the main contributor. This makes the EU the greatest exporter and consumer of olive oil in the world. However, small olive oil producers also contribute to olive oil production. Beneficial effects on human health of extra virgin olive oil are well...
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Vibrational Sum-Frequency Generation Activity of a 2,4-Dinitrophenyl Phospholipid Hybrid Bilayer: Retrieving Orientational Parameters from a DFT Analysis of Experimental Data
PublicationThe vibrational nonlinear activity of films of 2,4-dinitrophenyl phospholipid (DNP) at the solid interface is measured by sum-frequency generation spectroscopy (SFG). Hybrid bilayers are formed by a LangmuirSchaefer approach in which the lipid layer is physisorbed on top of a self-assembled monolayer of dodecanethiol on Pt with the polar heads pointing out from the surface. The SFG response is investigated in two vibrational frequency...
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International Conference on Internet of Things, Big Data and Security
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Web and Big Data (Asia Pacific Web Conference)
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Thermogravimetric analysis data of hydration in air and nitrogen for BaCe0.6Zr0.2Y0.1M0.1O3-δ (M = Fe, Pr, Tb)
Open Research DataThe dataset consists of 6 files of thermogravimetric analysis (TGA) data. The TGA experiments of hydration for BaCe0.6Zr0.2Y0.1Fe0.1O3-δ (BCZYFe), BaCe0.6Zr0.2Y0.1Pr0.1O3-δ (BCZYPr), and BaCe0.6Zr0.2Y0.1Tb0.1O3-δ (BCZYTb) were conducted on Netzsch STA 449.
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Enhanced susceptibility of SARS-CoV-2 spike RBD protein assay targeted by cellular receptors ACE2 and CD147: Multivariate data analysis of multisine impedimetric response
PublicationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters the cells through the binding of spike protein to the host cell surface-expressing angiotensin-converting enzyme 2 (ACE2) or by endocytosis mediated by extracellular matrix metalloproteinase inducer (CD147). We present extended statistical studies of the multisine dynamic electrochemical impedance spectroscopy (DEIS) revealing interactions between Spike RBD and...
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Reliability data safety instrumented systems SIS from the functional safety analysis example critical instalation
Open Research DataThe dataset represents the results of an example of functional safety analysis systems is presented below. It is based on a control system, which consists of some basic components like sensors, programmable logic controllers and valves. It is a part of petrochemical critical installations. The communication between sensor logic controllers and actuators...
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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Big Data processing frameworks - 2023
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Big Data processing frameworks - 2024
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Analiza danych typu Big Data
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Conference on Visualization and Data Analysis
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Cytokine TGFβ Gene Polymorphism in Asthma: TGF-Related SNP Analysis Enhances the Prediction of Disease Diagnosis (A Case-Control Study With Multivariable Data-Mining Model Development)
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30-day morbidity and mortality of sleeve gastrectomy, Roux-en-Y gastric bypass and one anastomosis gastric bypass: a propensity score-matched analysis of the GENEVA data
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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
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Data Analysis 2023/24
e-Learning CoursesData Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24
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Analiza danych typu Big Data 2022/23
e-Learning CoursesThe aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.
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Przegląd badań dotyczących efektywności i produktywności oświaty (szkół podstawowych i ponadpodstawowych) w Polsce, prowadzonych za pomocą metody Data Envelopment Analysis i indeksu Malmquista
PublicationCelem artykułu jest przedstawienie i ocena prowadzonych za pomocą metody Data Envelopment Analysis (DEA) i indeksu Malmquista badań dotyczących polskich placówek oświatowych. Wykorzystano systematyczny i krytyczny przegląd literatury przedmiotu do zobrazowania postępu badań nad edukacją podstawową i ponadpodstawową. Badania zostały przeanalizowane ze względu na różne kryteria, biorąc pod uwagę: 1) metodę DEA i indeksu Malmquista,...
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Thermgravimetric analysis (TGA) data of cement pastes containing pristine and silica-coated bismuth oxide and gadolinium oxide particles
Open Research DataThermogravimetric (TGA) data of cement pastes after 2, 7 and 28 days. Samples designations: Control, BG, BG-A and BG-B are associated with the specimen names in the associated publication.
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Analiza danych typu Big Data 2023/24 KOPIA
e-Learning CoursesThe aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.
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Algorithms for processing and visualization of Critical Infrastructure security data as well as simulation and analysis of threats = Algorytmy przetwarzania i wizualizacji danych dotyczących bezpieczeństwa infrastruktur krytycznych oraz symulacji i analizy zagrożeń
PublicationRozprawa traktuje o algorytmach przetwarzania danych dotyczących różnego rodzaju zagrożeń, w szczególności wyników analiz ryzyka infrastruktur krytycznych, pozwalających na przestrzenną analizę tych danych w kontekście geograficznym za pomocą dedykowanego Systemu Informacji Przestrzennej. Prezentowane metody analizy zgrupowań Infrastruktur Krytycznych oraz propagacji ich zagrożeń wykorzystują wyniki syntetycznej analizy podatności...
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Analiza danych typu Big Data 2023/24
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Deep neural networks for data analysis
e-Learning CoursesThe aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...
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SPIE Conference on Visual Data Exploration and Analysis
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ENVI and IDL Data Analysis and Visualization Symposium
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International Conference on the Statistical Analysis of Textual Data
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Qualitative Data Analysis Methods -Summer 2022
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[ITiT] Technologies of Spatial Data Analysis and Processing
e-Learning Courses{mlang pl} Dyscyplina: Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher: dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...
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Scientific methods of computer data analysis and presentation
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Qualitative Data Analysis Methods -Summer 22/23
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IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
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[AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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[AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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Processing of Satellite Data in the Cloud
PublicationThe dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic...
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Simulation of parallel similarity measure computations for large data sets
PublicationThe paper presents our approach to implementation of similarity measure for big data analysis in a parallel environment. We describe the algorithm for parallelisation of the computations. We provide results from a real MPI application for computations of similarity measures as well as results achieved with our simulation software. The simulation environment allows us to model parallel systems of various sizes with various components...
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Experience marketing in the service of the “secular religion” of big tech
PublicationThe article proposes an interpretation of the meaning of experience marketing as a tool in the process of sacralisation of products, and in a broader context – the so-called secular religion accompanying some contemporary big tech organizations. The article is of theoretical nature and the authors have intended to explain how big tech corporations, in line with the concept of experience marketing (digital platforms, in particular),...
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A comparative analysis of methods and tools for low impact development (LID) site selection
PublicationThe site selection for Low Impact Development (LID) practices is a significant process. It affects the effectiveness of LID in controlling stormwater surface runoff, volume, flow rate, and infiltration. This research paper presents a comprehensive review of various methods used for LID site selection. It starts by introducing different methods and tools. Three main methods: index-based methods, GIS-based multi-criteria decision...
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Magdalena Szuflita-Żurawska
PeopleHead of the Scientific and Technical Information Services at the Gdansk University of Technology Library and the Leader of the Open Science Competence Center. She is also a Plenipotentiary of the Rector of the Gdańsk University of Technology for open science. She is a PhD Candidate. Her main areas of research and interests include research productivity, motivation, management of HEs, Open Access, Open Research Data, information...
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High performance filtering for big datasets from Airborne Laser Scanning with CUDA technology
PublicationThere are many studies on the problems of processing big datasets provided by Airborne Laser Scanning (ALS). The processing of point clouds is often executed in stages or on the fragments of the measurement set. Therefore, solutions that enable the processing of the entire cloud at the same time in a simple, fast, efficient way are the subject of many researches. In this paper, authors propose to use General-Purpose computation...
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A Review of Traffic Analysis Attacks and Countermeasures in Mobile Agents' Networks
PublicationFor traditional, message-based communication, traffic analysis has been already studied for over three decades and during that time various attacks have been recognised. As far as mobile agents’ networks are concerned only a few, specific-scope studies have been conducted. This leaves a gap that needs to be addressed as nowadays, in the era of Big Data, the Internet of Things, Smart Infrastructures and growing concerns for privacy,...
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Sensors and Sensor’s Fusion in Autonomous Vehicles
PublicationAutonomous vehicle navigation has been at the center of several major developments, both in civilian and defense applications. New technologies such as multisensory data fusion, big data processing, and deep learning are changing the quality of areas of applications, improving the sensors and systems used. New ideas such as 3D radar, 3D sonar, LiDAR, and others are based on autonomous vehicle revolutionary development. The Special...
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Hanna Obracht-Prondzyńska dr inż. arch.
PeopleHanna Obracht-Prondzyńska, PhD MArch, Eng. Assistant Professor at the University of Gdańsk, Department of Spatial Management, academic teacher of urban design and spatial data analyses. Architect and urban planner experienced in data driven urban design and planning. She defended her PhD with distinction in engineering and technical sciences in the discipline of architecture and urban planning in 2020 at the Faculty of Architecture...
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Sensors and System for Vehicle Navigation
PublicationIn recent years, vehicle navigation, in particular autonomous navigation, has been at the center of several major developments, both in civilian and defense applications. New technologies, such as multisensory data fusion, big data processing, or deep learning, are changing the quality of areas of applications, improving the sensors and systems used. Recently, the influence of artificial intelligence on sensor data processing and...
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Krzysztof Goczyła prof. dr hab. inż.
PeopleKrzysztof Goczyła, full professor of Gdańsk University of Technology, computer scientist, a specialist in software engineering, knowledge engineering and databases. He graduated from the Faculty of Electronics Technical University of Gdansk in 1976 with a degree in electronic engineering, specializing in automation. Since then he has been working at Gdańsk University of Technology. In 1982 he obtained a doctorate in computer science...
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Palaeolithic Big Game Hunting at HP766 in Wadi Umm Rahau, Northern Sudan
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A link between seasonality and radiation-related toxicity: The big time or time will tell?
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Jerzy Proficz dr hab. inż.
PeopleJerzy Proficz, Ph.D. is the director of the Centre of Informatics – Tricity Academic Supercomputer & networK (CI TASK) at Gdansk University of Technology, Poland. He earned his Ph.D. (2012) in HPC (High Performance Computing) in the subject of supercomputer resource provisioning and management for on-line data processing D.Sc. (2022) in the discipline: Information and Communication Technology. Author and co-author of over 50...
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Performance evaluation of the construction products as a research challenge. Small error – big difference in assessment?
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Sylwester Kaczmarek dr hab. inż.
PeopleSylwester Kaczmarek received his M.Sc in electronics engineering, Ph.D. and D.Sc. in switching and teletraffic science from the Gdansk University of Technology, Gdansk, Poland, in 1972, 1981 and 1994, respectively. His research interests include: IP QoS and GMPLS and SDN networks, switching, QoS routing, teletraffic, multimedia services and quality of services. Currently, his research is focused on developing and applicability...