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Search results for: DATA PRE-PROCESSING
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Ireneusz Czarnowski Prof.
PeopleIRENEUSZ CZARNOWSKI is a graduate of the Faculty of Electrical Engineering at Gdynia Maritime University. He gained a doctoral degree in the field of computer science at Poznan University of Technology and a postdoctoral degree in the field of computer science at Wroclaw University of Science and Technology. Since 1998 is associated with Gdynia Maritime University, currently is a professor of computer science in the Department...
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Model of an Integration Bus of Data and Ontologies of Smart Cities Processes
PublicationThis paper presents a model of an integration bus used in the design of Smart Cities system architectures. The model of such a bus becomes necessary when designing high-level architectures, within which the silo processes of the organization should be seen from the perspective of its ontology. For such a bus to be used by any city, a generic solution was proposed which can be implemented as a whole or in part depending on the requirements...
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Parallel query processing and edge ranking of graphs
PublicationArtykuł poświęcony jest problemowi szukania drzewa spinającego o minimalnym uporządkowanym indeksie chromatycznym. Jednym z zastosowań jest poszukiwanie optymalnych harmonogramów w równoległym przetwarzaniu zapytań w relacyjnych bazach danych. Podajemy nowe oszacowanie funkcji dobroci przybliżonego algorytmu autorstwa Makino, Uno i Ibaraki wraz z rezultatami testów komputerowych przeprowadzonych dla grafów losowych.
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Parallel processing subsystems with redundancy in a distributed environment
PublicationW pracy rozważano problem podziału systemu rozproszonego na spójne podsystemy złożone z przynajmniej trzech jednostek, pozwalające na detekcję i skorygowanie pojedynczych błędów. Wykazano, że problem maksymalizacji liczby takich jednostek jest NP-trudny nawet dla dwuspójnych kubicznych topologii sieci. Podano też nowe algorytmy przybliżone.
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Some applications of thermophiles and their enzymes for protein processing
PublicationPrzedstawiono charakterystykę, właściwości oraz możliwości zastosowań enzymów proteolitycznych wytwarzanych przez termofile. Zaletą tych biokatalizatorów jest między innymi duża odporność na działanie rozpuszczalników organicznych, detergentów i innych czynników denaturujących białka oraz mała wrażliwość na zmiany pH. Dokonano też przeglądu czynników powodujących dużą stabilność proteaz z termofili.
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[Chapter] 2. Thermostable enzymes in food processing
PublicationW rozdziale przedstawiono charakterystykę termostabilnych hydrolaz glikozydów, izomeraz, transferaz,lipaz i enzymów proteolitycznych w przetwórstwie rozmaitych surowców źywnościowych. Podano przyczyny termostabilności tych enzymów oraz wymieniono korzyści wynikające z ich stosowania.
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Optimization of a FDTD code for graphical processing units
PublicationArtykuł prezetuje implementację algorytmu FDTD w postaci jawnej przeznaczonej dla kart graficznych. Wykazany został wzrost efektywności obliczeń numerycznych w odniesieniu do implementacji przeznaczonej dla procesora komputerowego.
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Information Processing and Fechner’s Problem as a Choice of Arithmetic
PublicationFechner’s law and its modern generalizations can be regarded as manifestations of alternative forms of arithmetic, coexisting at stimulus and sensation levels. The world of sensations may be thus described by a generalization of the standard mathematical calculus.
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Knowledge processing methodologies in intelligent autonomous systems
PublicationPrzedstawiono najnowsze trendy oraz stan badań światowych w zakresie wspomagania procesów zarządzania wiedzą w inteligentnych systemach autonomicznych.
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A document-centric processing paradigm for collaborative computing
PublicationKlasyczne modele przetwarzania rozproszonego zakładają, że dokumenty są biernymi obiektami, które rozsyła się w formie komunikatów lub pobiera z serwerów do przetwarzania jako pliki.W artykule przedstawiono koncepcję dokumentu jako aktywnego obiektu, zdolnego do samodzielnej migracji miedzy węzłami sieci i interakcji z użytkownikami w ich lokalnym środowisku. Takie podejście jest szczególnie przydatne do realizacji procesów biznesowych...
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Hybrid Processing by Turning and Burnishing of Machine Components
PublicationThe paper presents a method of hybrid manufacturing process of long 5 shafts and deep holes by simultaneous turning and burnishing method. The tech- 6 nological results of the research focus on the influence of the basic technological 7 parameters of this process on the surface roughness of piston rods of hydraulic 8 cylinders. Research results are presented in the graphs as well as mathematical 9 formula. Set of samples were made...
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Efficient parallel query processing by graph ranking
PublicationW artykule analizujemy przybliżony algorytm dla problemu szukania drzewa spinającego o minimalnym uporządkowanym indeksie chromatycznym, co znajduje zastosowanie w równoległym przetwarzaniu zapytań w relacyjnych bazach danych. Podajemy nowe oszacowanie uporządkowanego indeksu chromatycznego drzewa, które prowadzi do uzyskania lepszej funkcji dobroci wspomnianego algorytmu.
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Klaudia Skelnik dr
Peopledr Klaudia Skelnik Prodziekan Wydziału Prawa i Administracji Wyższa Szkoła Bankowa w Gdańsku, doktor nauk społecznych w dyscyplinie nauki o bezpieczeństwie, absolwent studiów MBA zarządzanie bezpieczeństwem, mgr politologii w specjalizacji ustrojowo-samorządowej, posiadająca podyplomowe wykształcenie wyższe w zakresie prawa Unii Europejskiej, Edukacji dla bezpieczeństwa, Bezpieczeństwa i Higiena Pracy oraz szereg kursów i szkoleń...
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Processing, physico-mechanical and thermal properties of reclaimed GTR and NBR/reclaimed GTR blends as function of various additives
PublicationIn this work, ground tire rubber (GTR) was mechano-chemically reclaimed in the presence of bitumen and various additives. During studies three types of processing and curing additives: (i) peptizer P300; (ii) vulcanization accelerator tetramethylthiuram disulfide (TMTD) and (iii) organic peroxide di(2-tert-butyl-peroxyisopropyl)benzene (BIB1) were applied to enhance reclaiming of GTR. Reclaiming process was evaluated by oscillating...
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The In-Depth Studies of Pulsed UV Laser-Modified TiO2 Nanotubes: The Influence of Geometry, Crystallinity, and Processing Parameters
PublicationThe laser processing of the titania nanotubes has been investigated in terms of morphology, structure, and optical properties of the obtained material. The length of the nanotubes and crystallinity, as well as the atmosphere of the laser treatment, were taken into account. The degree of changes of the initial geometry of nanotubes were checked by means of scanning electron microscopy, which visualizes both the surface and the cross-section....
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EvOLAP Graph – Evolution and OLAP-Aware Graph Data Model
PublicationThe objective of this paper is to propose a graph model that would be suitable for providing OLAP features on graph databases. The included features allow for a multidimensional and multilevel view on data and support analytical queries on operational and historical graph data. In contrast to many existing approaches tailored for static graphs, the paper addresses the issue for the changing graph schema. The model, named Evolution...
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Analysis of IMS/NGN call processing performance using phase-type distributions
PublicationThis work is a continuation of our research on the traffic model dedicated for design and analysis of the Next Generation Network (NGN), which is standardized for distribution of current and future multimedia services based on the IP Multimedia Subsystem (IMS). Our analytical and simulation models allow evaluation of mean Call Set-up Delay E(CSD) as well as mean Call Disengagement Delay E(CDD) in a single domain of IMS/NGN. Ensuring...
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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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Improving css-KNN Classification Performance by Shifts in Training Data
PublicationThis paper presents a new approach to improve the performance of a css-k-NN classifier for categorization of text documents. The css-k-NN classifier (i.e., a threshold-based variation of a standard k-NN classifier we proposed in [1]) is a lazy-learning instance-based classifier. It does not have parameters associated with features and/or classes of objects, that would be optimized during off-line learning. In this paper we propose...
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Synteza algorytmu detekcji pęknięcia szyby metodą ''data fission - data fusion''
PublicationPrzedstawiono założenia projektowe oraz proces syntezy algorytmu detekcyjnego akustycznego detektora pęknięcia szyby. W konstrukcji algorytmu użyto techniki rozszczepiania i syntezy danych. Przedstawiono użyte narzędzia badawcze, opracowany model pęknięcia szyby oraz wynki testowania finalnego algorytmu detekcyjnego. Metoda znalazła zastosowanie w konstrukcji akustycznego detektora pęknięcia szyby stosowanego w systemach alarmowych.
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Assessing Highway Travel Time Reliability using Probe Vehicle Data
PublicationProbe vehicle data (also known as “floating car data”) can be used to analyze travel time reliability of an existing road corridor in order to determine where, when, and how often traffic congestion occurs at particular road segments. The aim of the study is to find the best reliability performance measures for assessing congestion frequency and severity based on probe data. Pilot surveys conducted on A2 motorway in Poland confirm...
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublicationHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Performance measurements and optimization of visualization of routes traveled in the distributed dispatcher and teleinformation system for visualization of multimedia data for the Border Guard
PublicationMonitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The system presented in the paper is an advancement of the previously developed distributed map data exchange system. The added functionality allows to supplement the map data with...
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Coastal zone monitoring using Sentinel-1 SAR polarymetry data
PublicationIn 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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Study of data scheduling methods in the WiMAX Mobile metropolitan area networks
PublicationThe 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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Description logic based generator of data-centric applications
PublicationThe knowledge stored in Ontology Management Systems (OMS) that originally has the form of expressions, can be seen as a user application specification or as knowledge provided by an expert. The generator of applications discussed in this paper is defined as a program that automatically generates an application that meets a certain specification stored in OMS. It is shown that it is possible to build a user interface for data management...
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Description logic based generator of data-centric applications
PublicationThe knowledge stored in Ontology Management Systems (OMS) that originally has the form of expressions, can be seen as a user application specification or as knowledge provided by an expert. The generator of applications discussed in this paper is defined as a program that automatically generates an application that meets a certain specification stored in OMS. It is shown that it is possible to build a user interface for data management...
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Multitaper-Based Post-processing of Compact Antenna Responses Obtained in Non-anechoic Conditions
PublicationThe process of developing antenna structures typically involves prototype measurements. While accurate validation of far-field performance can be performed in dedicated facilities like anechoic chambers, high cost of construction and maintenance might not justify their use for teaching, or low-budget research scenarios. Non-anechoic experiments provide a cost-effective alternative, however the performance metrics obtained in such...
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Integration of inertial sensors and GPS system data for underwater navigation
PublicationThe Inertial Navigation System (INS) is usually employed to determine the position of an underwater vehicles, like Remotely Operated Vehicles (ROV) and, more recently, Autonomous Underwater Vehicle (AUV). The accuracy of the position provided by the INS, which uses accelerometers and gyroscopes, deteriorates with time. An external aiding sources such as the Global Positioning System (GPS) can be employed to reduce the error growth...
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Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps
PublicationThe study considers the need for an effective method of classification of patients with a temporomandibular joint disorder (TMD). The self-organising map method (SOM) was applied to group patients and used together with the cross-correlation approach to interpret the processed (rectified and smoothed by using root mean square (RMS) algorithm) surface electromyography signal (sEMG) obtained from testing the muscles (two temporal...
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Biomedical Signal Processing and Control
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Structure-Property Relationship and Multiple Processing Studies of Novel Bio-Based Thermoplastic Polyurethane Elastomers
PublicationCurrently, the growing demand for polymeric materials has led to an increased need to develop effective recycling methods. This study focuses on the multiple processing of bio-based thermoplastic polyurethane elastomers (bio-TPUs) as a sustainable approach for polymeric waste management through mechanical recycling. The main objective is to investigate the influence of two reprocessing cycles on selected properties of bio-TPUs....
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Assessment of the Impact of GNSS Processing Strategies on the Long-Term Parameters of 20 Years IWV Time Series
PublicationAdvanced processing of collected global navigation satellite systems (GNSS) observations allows for the estimation of zenith tropospheric delay (ZTD), which in turn can be converted to the integrated water vapour (IWV). The proper estimation of GNSS IWV can be affected by the adopted GNSS processing strategy. To verify which of its elements cause deterioration and which improve the estimated GNSS IWV, we conducted eight reprocessings...
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Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing
PublicationSolution presented in this paper combines background modelling, shadow detection and morphological and temporal processing into one system responsible for detection and segmentation of moving objects recorded with a static camera. Vehicles and trains are detected based on their pixellevel difference from the continually updated background model utilizing a Gaussian mixture calculated separately for every pixel. The shadow detection...
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Approximate Cramér–Rao bound on Doppler error in correlation-processing relatively narrowband noise radar
PublicationThe paper studies limitations on accuracy of Doppler estimation in continuous-wave noise radar with correlation processing. Second order properties of output of the correlation receiver are evaluated and an approximate Cram´er-Rao bound on errors of Doppler measurement is derived. The accuracy of Doppler measurements is found to be affected by the following factors: power spectral density of noise signal, frequency response of the...
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Network-aware Data Prefetching Optimization of Computations in a Heterogeneous HPC Framework
PublicationRapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting of multiple collections of nodes with different types of computing devices. The execution engine of the system is open for...
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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Advanced Data Mining 2022/23
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Numerical Methods - Data Engineering - 2023
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Business Data Analytics-2024 /2025
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Data analysis - team project 2024
e-Learning Courses -
Analiza danych typu Big Data
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Numerical Methods - Data Engineering - 2024
e-Learning CoursesInżynieria danych
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Business Data Analytics-2023 /2024
e-Learning Courses -
Big Data ST (2024/2025_zima)
e-Learning Courses -
Inżynieria Danych Data Science 2024
e-Learning Courses -
Advanced Data Mining 2023/24
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Review and comparison of smoothing algorithms for one-dimensional data noise reduction
PublicationThe paper considers the choice of parameters of smoothing algorithms for data denoising. The impact of the window size on smoothing accuracy was analyzed. The parameters of denoising filters were selected with respect to the meansquare error between the computed linear regression and the noisy signal. Finally, we have compared mean, median, SavitzkyGolay, Kalman and Gaussian filter algorithms for the data from the digital sensor....
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Yield surface identification of CP-Ti and its evolution reflecting pre-deformation under complex loading
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Early Predictors of Learning a Foreign Language in Pre-school – Polish as a First Language, English as a Foreign Language
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