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Wyniki wyszukiwania dla: PANEL DATA ANALYSIS
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THE 3D MODEL OF WATER SUPPLY NETWORK WITH APPLICATION OF THE ELEVATION DATA
Publikacja3D visualization is a key element of research and analysis and as the source used by experts in various fields e.g.: experts from water and sewage systems. The aim of this study was to visualize in three-dimensional space model of water supply network with relief. The path of technological development of GESUT data (Geodezyjna Ewidencja Sieci Uzbrojenia Terenu – geodetic records of public utilities) for water supply and measurement...
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Adaptacyjny system oświetlania dróg oraz inteligentnych miast
PublikacjaPrzedmiotem rozprawy jest zbadanie praktycznej możliwości wykrywania w czasie rzeczywistym anomalii w systemie oświetlenia drogowego w oparciu o analizę danych ze inteligentnych liczników energii. Zastosowanie inteligentnych liczników energii elektrycznej (Smart Meter) w systemach oświetlenia drogowego stwarza nowe możliwości w zakresie automatycznej diagnostyki takich niepożądanych zjawisk jak awarie lamp, odstępstwa od harmonogramu...
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Big Data Analytics for ICT Monitoring and Development
PublikacjaThe expanded growth of information and communication technology has opened new era of digitization which is proving to be a great challenge for researchers and scientists around the globe. The utmost paradigm is to handle and process the explosion of data with minimal cost and discover relevant hidden information in the least amount of time. The buzz word “BIG DATA” is a widely anticipated term with the potential to handle heterogeneous,...
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3D MODELLING OF CYLINDRICAL-SHAPED OBJECTS FROM LIDAR DATA - AN ASSESSMENT BASED ON THEORETICAL MODELLING AND EXPERIMENTAL DATA
PublikacjaDespite the increasing availability of measured laser scanning data and their widespread use, there is still the problem of rapid and correct numerical interpretation of results. This is due to the large number of observations that carry similar information. Therefore, it is necessary to extract from the results only the essential features of the modelled objects. Usually, it is based on a process using filtration, followed by...
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Ocena stanu technicznego konstrukcji pras filtracyjnych w Grupowej Oczyszczalni Ścieków „DĘBOGÓRZE” w Gdyni
PublikacjaPodstawowym celem pracy była rzeczowa ocena z punktu widzenia technicznego stanu trzech pras filtracyjnych, usytuowanych w budynku, położonym w Oczyszczalni Ścieków ‘DEBOGÓRZE w Gdyni. Zakres prac obejmował szczegółowa ocenę trzech układów w każdej prasie a mianowicie: - hydraulicznego, - sterowania i automatyki, - mechanicznego – związanego ze sprawdzeniem stanu konstrukcji nośnej i obudów.. Opis i analiza stanu poszczególnych...
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Cmentarze w przestrzeni polskich miast
PublikacjaPrzedmiotem badań jest przedstawienie cmentarzy na terenach polskich miast: Gdańska, Krakowa, Lublina, Warszawy i Wrocławia. Na potrzeby pracy przeanalizowano położenie cmentarzy względem współczesnej i historycznej tkanki miejskiej a także względem innych nekropolii, dzięki czemu zidentyfikowano zjawisko występowania zespołów cmentarzy miejskich. Zbadano także zagadnienie likwidacji cmentarzy miejskich i odniesiono je do współczesnych...
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Method of Decision-Making Logic Discovery in the Business Process Textual Data
PublikacjaGrowing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources,...
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Data augmentation for improving deep learning in image classification problem
PublikacjaThese days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...
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Linking music data in executable documents
PublikacjaThis paper presents the application of Interactive Open Document Architecture (IODA) to music and video data. This architecture was design to create multilayer documents which consist of many files. The paper shows the method of creating media documents on the basis of IODA. These kind of documents were called IODA Media Documents (IMD). IMD have links that connect many different kinds of files containing music and video data....
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Study of data scheduling methods in the WiMAX Mobile metropolitan area networks
PublikacjaThe paper discusses basic assumptions of the WiMAX Mobile system. It also presents and analyses the results of simulation tests run for selected data scheduling methods and subcarrier allocation. Based on the test results, the authors have prepared a comparative analysis of two popular data scheduling methods, i.e. WRR and PF, and their own method CDFQ which uses information about the current channel situation for the queuing processes...
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Big Data 2023
Kursy Online -
Data quality assurance
Kursy OnlineThe first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6
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Data quality assurance
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Advanced data mining
Kursy Online -
Data reduction and stacking for imbalanced data classification
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The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland
Publikacja“The Image of the City” by Kevin Lynch is a landmark planning theory of lasting influence; its scientific rigor and relevance in the digital age were in dispute. The rise of social media and other digital technologies offers new opportunities to study the perception of urban environments. Questions remain as to whether social media analytics can provide a reliable measure of perceived city images? If yes, what implication does...
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Mahaveer Mahaveer
OsobyI am a PhD candidate in Civil Engineering, Geodesy, and Transport at the Department of Geotechnical and Hydraulic Engineering, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology (Gdańsk University of Technology), Poland. My research is focused on optimizing hydrodynamic vortex separators for enhanced separation. My current research builds on my experiences from my Master of Engineering research in...
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Foundations of Capital Market Analysis
Kursy Online -
Foundations of Capital Market Analysis
Kursy Online -
The methods of secure data transmission in the KNX system
PublikacjaThe article presents the demands concerning data security in distributed building automation systems and shows the need for providing mechanisms of secure communication in the KNX system. Three different methods developed for KNX data protection are discussed: EIBsec, KNX Data Security and the author's method. Their properties are compared and potential areas of application are presented.
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Automatic Clustering of EEG-Based Data Associated with Brain Activity
PublikacjaThe aim of this paper is to present a system for automatic assigning electroencephalographic (EEG) signals to appropriate classes associated with brain activity. The EEG signals are acquired from a headset consisting of 14 electrodes placed on skull. Data gathered are first processed by the Independent Component Analysis algorithm to obtain estimates of signals generated by primary sources reflecting the activity of the brain....
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Rain Gardens LC_MS/MS analysis dataset
Dane BadawczeThis dataset contains the results of samples analysis (target analysis with certified reference materials) using ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS, Shimadzu, Japan).
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Towards Open Research Data in the Economics Discipline
PublikacjaNowadays, Open Research Data, as one of the three pillars of Open Science (along with Open Access and Open Scholarly Communication), is gaining enormous attention from different academic and commercial environments. A wide range of scientific disciplines represent and produce different types of data and at the same time, gather different issues and problems in terms of sharing and dissemination research output. This chapter aims...
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Coastal zone monitoring using Sentinel-1 SAR polarymetry data
PublikacjaIn recent years the role of the surveillance and security of Polish boundaries has significantly increased. Polish coastal zone monitoring requires various approaches using various technological means in order to ensure the protection of Polish boundaries. In this paper, the authors discuss and present alternatives to underwater surveillance methods of coastal area analysis and monitoring using data retrieved from the newly developed...
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Interaction with medical data using QR-codes
PublikacjaBar-codes and QR-codes (Quick Response ) are often used in healthcare. In this paper an application of QR-codes to exchange of laboratory results is presented. The secure data exchange is proposed between a laboratory and a patient and between a patient and Electronic Health Records. Advanced Encryption Standard was used to provide security of data encapsulated within a QR-code. The experimental setup, named labSeq is described....
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Ocena stopnia degradacji termicznej olejów jadalnych z wykorzystaniem techniki ultraszybkiej chromatografii gazowej
PublikacjaPod wpływem podwyższonej temperatury oleje jadalne ulegają procesowi degradacji termicznej. W tym przypadku ilość lotnych związków organicznych, charakteryzujących się dużą polarnością, występujących w olejach jadalnych jest większa. Zmiany składu olejów jadalnych mogą stanowić zagrożenie dla zdrowia człowieka. Obecnie istnieje możliwości wykorzystania techniki ultraszybkiej chromatografii gazowej do oceny stopnia degradacji olejów...
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Wykluczenie finansowe starszych konsumentów na rynku usług finansowych
PublikacjaCelem opracowania jest identyfikacja uwarunkowań wykluczenia finansowego starszych konsumentów na rynku usług finansowych. Dla realizacji tego celu zidentyfikowano m.in. podstawowe pojęcia dotyczące wykluczenia (w tym wykluczenia finansowego) osób starszych. Zagrożenia wynikające z wykluczenia finansowego starszych konsumentów zostały zilustrowane poprzez analizę danych statystycznych dotyczących starzenia się społeczeństwa. Podstawowy...
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A Mammography Data Management Application for Federated Learning
PublikacjaThis study aimed to develop and assess an application designed to enhance the management of a local client database consisting of mammographic images with a focus on ensuring that images are suitably and uniformly prepared for federated learning applications. The application supports a comprehensive approach, starting with a versatile image-loading function that supports DICOM files from various medical imaging devices and settings....
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23
Kursy OnlineThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Projektowanie Aplikacji Internetowych 2022/23
Kursy Online{mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24
Kursy OnlineThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Projektowanie Aplikacji Internetowych 2023/24
Kursy Online{mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...
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Projektowanie Aplikacji Internetowych 2024/25
Kursy Online{mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...
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On the compression of multibeam sonar raw bathymetry data
PublikacjaMultibeam sonars are widely used in applications like high resolution bathymetry measurements or underwater object imaging. One of the significant problems in multibeam sensing of the marine environment is large amount of data which must be transmitted from the sonar processing unit to an operator station using a limited bit rate channel. For instance, such a situation would be in the case when the multibeam sonar was mounted on...
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Burnout as a State: Random-Intercept Cross-Lagged Relationship Between Exhaustion and Disengagement in a 10-Day Study
PublikacjaBackground: Burnout has been traditionally seen as a chronic and stable state in response to prolonged stress. However, measures of momentary burnout are not well established, even though the within-person approach suggests that the symptoms of burnout may vary from day to day for the same employee. The aim of this study is to examine the daily inter- and intra-personal variability of the symptoms of burnout and the cross-lagged relationship...
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Visual Data Encryption for Privacy Enhancement in Surveillance Systems
PublikacjaIn this paper a methodology for employing reversible visual encryption of data is proposed. The developed algorithms are focused on privacy enhancement in distributed surveillance architectures. First, motivation of the study performed and a short review of preexisting methods of privacy enhancement are presented. The algorithmic background, system architecture along with a solution for anonymization of sensitive regions of interest...
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Web Services Integration with Regard to the Metrics of Data Believability
PublikacjaThe paper is concerned with estimating the believability of data acquired from web services. In the paper, a new method for believability estimation is introduced. The method is designed for integrating web services. The believability estimation is based on the following metrics: quantity, reputation, approval, independence, traceability, maturity, authority and objectivity. In the method, data trustworthiness is determined by...
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ARIMA vs LSTM on NASDAQ stock exchange data
PublikacjaThis study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...
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Data visualization of marine objects on digital maps
PublikacjaThe paper presents the implementation of two multithreaded applications for data visualization of marine objects written in C#, designed to run on operator consoles with 32-bit or 64-bit Windows 7 OS. The article describes the most important functionality and features of the developed C# .NET user controls for data visualization on digital maps and in the configurable tables.
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Sczepność międzywarstwowa w nowobudowanych nawierzchniach w Polsce
PublikacjaW artykule przedstawiono analizę wyników badań sczepności międzywarstwowej warstw asfaltowych przeprowadzonych na podstawie danych z monitoringu właściwości fizyko-mechanicznych warstw asfaltowych z lat 2012-2013. Monitoring prowadziły Laboratoria Drogowe oddziałów GDDKiA w ramach własnych badań kontrolnych podczas realizowanych inwestycji. Analizie poddano 7043 wyników badań sczepności międzywarstwowej badanych próbek, odwierconych...
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Systematic Test Data Generation for Embedded Software
PublikacjaSystematic Test Data Generation for Embedded Software
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Method for Clustering of Brain Activity Data Derived from EEG Signals
PublikacjaA method for assessing separability of EEG signals associated with three classes of brain activity is proposed. The EEG signals are acquired from 23 subjects, gathered from a headset consisting of 14 electrodes. Data are processed by applying Discrete Wavelet Transform (DWT) for the signal analysis and an autoencoder neural network for the brain activity separation. Processing involves 74 wavelets from 3 DWT families: Coiflets,...
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Data
Czasopisma -
Induction of the common-sense hierarchies in lexical data
PublikacjaUnsupervised organization of a set of lexical concepts that captures common-sense knowledge inducting meaningful partitioning of data is described. Projection of data on principal components allow for dentification of clusters with wide margins, and the procedure is recursively repeated within each cluster. Application of this idea to a simple dataset describing animals created hierarchical partitioning with each clusters related...
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Data Reduction Algorithm for Machine Learning and Data Mining
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Integration of thermographic data with the 3D object model
PublikacjaThe aim of the paper is to present new method for merging the 3D model data of the measured object with thermograms. Our technique is based on the combination of visual 3D imaging technique and thermal imaging technique, which maps the 2D thermograms on to 3D anatomical mesh model. The combination of these imaging modalities allows the generation of combined 3D and thermal data from which thermal signatures can be verified and...
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Niskokoherencyjne czujniki światłowodowe wykorzystujące cienkowarstwowe struktury nanodiamentowe
PublikacjaZnaczny rozwój technologii wytwarzania czujników światłowodowych spowodował, że są one powszechnie dostępne i stosowane w wielu gałęziach przemysłu, nauki oraz medycyny. Zastosowanie nowych materiałów w konstrukcji takich czujników niesie za sobą duży potencjał. Celem rozprawy jest przedstawienie możliwości wykorzystania cienkowarstwowych struktur nanodiamentowych w niskokoherencyjnych czujnikach światłowodowych, które poprawią...
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OCENA MOŻLIWOŚCI WYKORZYSTANIA CHARAKTERYSTYK ENERGETYCZNYCH PROCESU DO PRZEWIDYWANIA WSKAŹNIKÓW ENERGETYCZNYCH NA BIEŻĄCO
PublikacjaW artykule autorka zaprezentowała możliwości wykorzystania charakterystyk energetycznych procesu do bieżącej kontroli wskaźników energetycznych. Metoda bieżącej kontroli wskaźników wykorzystuje jako wartości porównawcze wskaźniki wyznaczane na podstawie charakterystyk energetycznych procesów. Metoda ma przede wszystkim mieć zastosowanie do wczesnego wykrywania i eliminowania nadmiernego, nieracjonalnego zużycia nośników energii...
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Review of the Complexity of Managing Big Data of the Internet of Things
PublikacjaTere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...
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Frequent Sequence Mining in Web Log Data
PublikacjaThe amount of information available even on a single web server can be huge. On the other hand, the amount of visitors (users) can often reach a number of at least six digits. Users vary in gender, age and education, and in consequence their information needs are different. Moreover, they subconsciously expect to get more adequate content after visiting the first few pages. The scope of this kind of problem relates to the domain...