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Search results for: digital image processing
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A digital cartographic source for numerical models in hydrology
PublicationAutorzy prowadzą analizę wykorzystania i przydatności cyfrowych danych kartograficznych w rozwiązywaniu przestrzennych zagadnień hydrologicznych. Szczególne znaczenie dla prowadzonych analiz mają DTM i DEM. Są one źródłem bezpośrednich wielkości wejściowych modelu hydrologicznego i dodatkowo pozwalają na szersze możliwości prezentacji otrzymanego rozwiązania.
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Digital Innovations for Sustainable Development in the Time of Crisis
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Transmission of digital signals in a nonstationary hydroacoustic channel.
PublicationZ telekomunikacyjnego punktu widzenia właściwości transmisyjne kanału hydroakustyczny są ograniczone przez występowanie wielokrotnych odbić fali dźwiękowej od dna i powierzchni wody oraz niestacjonarność wprowadzaną głównie przez ruch powierzchni wody. Artykuł przedstawia model własności transmisyjnych kanału. Wprowadzono niestacjonarność do odpowiedzi impulsowych kanału przez założenie przypadkowej zmienności czasów przyjścia...
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Microcontroller driven miniaturized digital depth sounder.
PublicationPrzedstawiono schemat blokowy, specyfikację techniczną oraz zasadę działania miniaturowej echosondy cyfrowej, sterowanej mikrokontrolerem PIC16F873.Specjalistyczne oprogramowanie echosondy umożliwia prezentację echogramów w czasie rzeczywistym oraz udostępnianie ich w sieci Internet w typowych przeglądarkach WWW.
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Decomposing Cavities in Digital Volumes into Products of Cycles
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Workload Assessment Predictability for Digital Human Models
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Programmable digital circuits in practical laboratory educations
PublicationPrzedstawiono przegląd teoretyczny problematyki układów programowalnych. Przedstawiono rzeczywiste systemy laboratoryjne wykorzystywane na Politechnice Gdańskiej i Uniwersytecie w Birzeit w Palestynie. Przedstawiono szczegółowo opracowany na WEiE zestaw laboratoryjny ZLA1 i przykładowe tematy zajęć dydaktycznych.
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The lifecycle of a digital historical document: structure and content.
PublicationZaproponowno model cyklu wytwarzania dokumentu cyfrowego z papierowych oryginałów pisanych na maszynie i przedstawiono opracowany przez autorów i wdrożony w środowisku Państwowego Muzeum Stutthof w Sztutowie zestaw narzędziowy DOW do automatycznej ekstrakcji treści dokumentu. Istotę nowej metodologii, opracowanej w ramach projektu 5PR UE IST-33441 MEMORIAL, jest wykorzystanie informacji semantycznej w procesach segmentacji tła,...
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Digital hearing aid with time and spectral transposition.
PublicationNastępstwem uruchomienia w Polsce, prowadzonych na szeroką skalę, badań przesiewowych słuchu jest konieczność zaoferowania pomocy osobom cierpiącym na niedosłuch poprzez leczenie i protetykę słuchu. Tymczasem, aktualnie oferowane rozwiązania aparatów słuchowych nie są w stanie sprostać niektórym specjalistycznym potrzebom aparatowania, m. in.: najmłodszych dzieci, osób pracujących w hałasie, pilotów wojskowych oraz osób korzystających...
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New digital aids for pateints after laryngectomy
PublicationPowrót do prawidłowej komunikacji z otoczeniem pacjentów po laryngektomii jest możliwy poprzez wykształcenie zastępczej mowy przełykowej lub gardłowej a w pozostałych przypadkach, kiedy się to nie udaje, poprzez zastosowanie elektronicznych protez (wibratorów szyjnych) wprowadzających w drgania tkanki dna jamy ustnej i szyi. Nawet, gdy dochodzi do wykształcenia mowy zastępczej, jakość mowy artykułowanej przełykowo jak i artykułowanej...
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Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures
PublicationAbstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...
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Lamb wave based structural damage detection using cointegration and fractal signal processing
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Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform
PublicationTraffic monitoring from closed-circuit television (CCTV) cameras on embedded systems is the subject of the performed experiments. Solving this problem encounters difficulties related to the hardware limitations, and possible camera placement in various positions which affects the system performance. To satisfy the hardware requirements, vehicle detection is performed using a lightweight Convolutional Neural Network (CNN), named...
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Gdańsk University of Technology graduates’ self-assessment of the use of digital skills in professional work – the year 2017
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of the use of digital skills in professional work. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, the vast majority...
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Gdańsk University of Technology graduates’ self-assessment of the use of digital skills in professional work – the year 2018
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of the use of digital skills in professional work. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, the vast majority...
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Gdańsk University of Technology graduates’ self-assessment of the use of digital skills in professional work – the year 2016
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of the use of digital skills in professional work. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, the vast majority...
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Distributed processing in medical, parametric imaging
PublicationArtykuł prezentuje metodę dystrybucji bazującej na JavaSpace do zastosowania w wyznaczaniu obrazów parametrycznych. Zaimplementowano metodologię Compute Server, którą użyto do aktywnej termografii i dynamicznych badań MRI mózgu.
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Relativistic hydrodynamics on graphics processing units
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KASKADA - multimedia processing platform architecture
PublicationPrzedstawiono architekturę platformy KASKADA (skrót od: Kontekstowa Analiza Strumieni Danych z Kamer do Aplikacji Definiujących Alarmy), będącą częścią projektu MAYDAY EURO 2012. Opisano nowy wielowarstwowy model przetwarzania strumieni multimedialnych. Zaproponowano następujące warstwy: usług - prostych i złożonych, zadań obliczeniowych i procesów. Przedstawiono przykładowy scenariusz wraz ze szczegółami jego wykonania, jak również...
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Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units
PublicationThis paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for...
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Eco-Friendly Ether and Ester-Urethane Prepolymer: Structure, Processing and Properties
PublicationThis study concerns bio-based urethane prepolymers. The relationship between the chemical structure and the thermal and processing parameters of bio-based isocyanate-terminated ether and ester-urethane prepolymers was investigated. Bio-based prepolymers were obtained with the use of bio-monomers such as bio-based diisocyanate, bio-based polyether polyol or polyester polyols. In addition to their composition, the bio-based prepolymers...
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Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams
PublicationThe paper investigates parallel data processing in a hybrid CPU+GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to host-device communication time ratios, numbers of CUDA streams,...
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Toward Wide-Band High-Resolution Analog-to-Digital Converters Using Hybrid Filter Bank Architecture
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Harnessing digital technologies for poverty reduction. Evidence for low-income and lower-middle income countries
PublicationThis paper contributes to understanding the relationship between ICT deployment and poverty alleviation in developing countries. It assess the digital technologies contribution to poverty reduction, through different channels of impact, like education, labor market, income and ICTtrade related activities. Using the sample of 40 developing countries between 1990 and 2019, it relies on macro data extracted from the World Bank Development...
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DATABASE AND BIGDATA PROCESSING SYSTEM FOR ANALYSIS OF AIS MESSAGES IN THE NETBALTIC RESEARCH PROJECT
PublicationA specialized database and a software tool for graphical and numerical presentation of maritime measurement results has been designed and implemented as part of the research conducted under the netBaltic project (Internet over the Baltic Sea – the implementation of a multi-system, self-organizing broadband communications network over the sea for enhancing navigation safety through the development of e-navigation services.) The...
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Digital Platforms and Services - STAC - 2023/2024
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Digital Technologies for Business Communication 2022/2023
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Digital Technologies for Business Communication 2023 2024
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Network-assisted processing of advanced IoT applications: challenges and proof-of-concept application
PublicationRecent advances in the area of the Internet of Things shows that devices are usually resource-constrained. To enable advanced applications on these devices, it is necessary to enhance their performance by leveraging external computing resources available in the network. This work presents a study of computational platforms to increase the performance of these devices based on the Mobile Cloud Computing (MCC) paradigm. The main...
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Extracting concepts from the software requirements specification using natural language processing
PublicationExtracting concepts from the software require¬ments is one of the first step on the way to automating the software development process. This task is difficult due to the ambiguity of the natural language used to express the requirements specification. The methods used so far consist mainly of statistical analysis of words and matching expressions with a specific ontology of the domain in which the planned software will be applicable....
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Orken Mamyrbayev Professor
People1. Education: Higher. In 2001, graduated from the Abay Almaty State University (now Abay Kazakh National Pedagogical University), in the specialty: Computer science and computerization manager. 2. Academic degree: Ph.D. in the specialty "6D070300-Information systems". The dissertation was defended in 2014 on the topic: "Kazakh soileulerin tanudyn kupmodaldy zhuyesin kuru". Under my supervision, 16 masters, 1 dissertation...
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Impact of Shifting Time-Window Post-Processing on the Quality of Face Detection Algorithms
PublicationWe consider binary classification algorithms, which operate on single frames from video sequences. Such a class of algorithms is named OFA (One Frame Analyzed). Two such algorithms for facial detection are compared in terms of their susceptibility to the FSA (Frame Sequence Analysis) method. It introduces a shifting time-window improvement, which includes the temporal context of frames in a post-processing step that improves the...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part II
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Semantic technologies based method of collection, processing and sharing information along food chain
PublicationIn the paper the method of collecting, processing and sharing information along food chain is presented. Innovative features of that method result from advantages of data engineering based on semantic technologies. The source to build ontology are standards and regulations related to food production, and data collected in databases owned by food chain participants. It allows food chain information resources can be represented in...
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Thermal processing of pasta enriched with black locust flowers affect quality, phenolics, and antioxidant activity
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Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Histogram of Oriented Gradients with Cell Average Brightness for Human Detection
PublicationA modification of the descriptor in a human detector using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) is presented. The proposed modification requires inserting the values of average cell brightness resulting in the increase of the descriptor length from 3780 to 3908 values, but it is easy to compute and instantly gives ≈ 25% improvement of the miss rate at 10‒4 False Positives Per Window (FPPW). The...
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Compatibility of Crude Oil Blends─Processing Issues Related to Asphaltene Precipitation, Methods of Instability Prediction─A Review
PublicationProcessing crude oil of variable composition, especially due to the need to process crude oil blends obtained from various sources, presents a tremendous process challenge. This is mainly due to the destabilization of the colloidal system manifested mostly by the precipitation of the asphaltene fraction. The precipitation of asphaltenes from crude oil is a serious problem during extraction, transport, and processing. In the latter...