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Wyróżnienie HR Excellence in Research dla PG na następne 3 lata
PublikacjaW listopadzie 2019 r. Komisja Europejska przekazała decyzję o utrzymaniu i przedłużeniu prawa do posługiwania się wyróżnieniem HR dla Politechniki Gdańskiej na następne trzy lata, uznając realizację Strategii HR4R PG za systematyczną i zgodną z opisem w planie działań, zaś same działania za cechujące się wysoką jakością.
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Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel
PublikacjaWhen transmitting data in a hydroacoustic channel under difficult propagation conditions, one of the problems is intersymbol interference (ISI) caused mainly by the effect of multipath propagation. This phenomenon leads to a decrease in transmission parameters, and sometimes completely prevents it. Therefore, we have made an attempt to use diversity combining with Recursive Least Squares (RLS) adaptive filtering to improve the...
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A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
PublikacjaIn recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...
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BIG DATA SIGNIFICANCE IN REMOTE MEDICAL DIAGNOSTICS BASED ON DEEP LEARNING TECHNIQUES
PublikacjaIn this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential...
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Comparison of Traffic Flow Models with Real Traffic Data Based on a Quantitative Assessment
PublikacjaThe fundamental relationship of traffic flow and bivariate relations between speed and flow, speed and density, and flow and density are of great importance in transportation engineering. Fundamental relationship models may be applied to assess and forecast traffic conditions at uninterrupted traffic flow facilities. The objective of the article was to analyze and compare existing models of the fundamental relationship. To that...
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Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach
PublikacjaPurpose: The article's main aim is to investigate the effectiveness of health systems in European countries based on EUROSTAT data. A comparative analysis of the health systems' effectiveness in different countries is based on their improvement (reform), using the best practices approach. Design/Methodology/Approach: The network DEA model and a slack-based model (NDEA – SBM) are used. A non-oriented model is used. The research...
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A Method for Underwater Wireless Data Transmission in a Hydroacoustic Channel under NLOS Conditions
PublikacjaWireless data transmission in the hydroacoustic channel under non-line-of-sight (NLOS) propagation conditions, for example, during a wreck penetration, is difficult to implement reliably. This is mostly due to the multipath propagation, which causes a reduction in the quality of data reception. Therefore, in this work an attempt has been made to develop a reliable method of wireless underwater communication test it under the NLOS...
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Ontological Model for Contextual Data Defining Time Series for Emotion Recognition and Analysis
PublikacjaOne of the major challenges facing the field of Affective Computing is the reusability of datasets. Existing affective-related datasets are not consistent with each other, they store a variety of information in different forms, different formats, and the terms used to describe them are not unified. This paper proposes a new ontology, ROAD, as a solution to this problem, by formally describing the datasets and unifying the terms...
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Enhanced Eye-Tracking Data: a Dual Sensor System for Smart Glasses Applications
PublikacjaA technique for the acquisition of an increased number of pupil positions, using a combined sensor consisting of a low-rate camera and a high-rate optical sensor, is presented in this paper. The additional data are provided by the optical movement-detection sensor mounted in close proximity to the eyeball. This proposed solution enables a significant increase in the number of registered fixation points and saccades and can be used...
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Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling
PublikacjaFull-wave electromagnetic (EM) analysis has become one of the major design tools for contemporary antenna structures. Although reliable, it is computationally expensive which makes automated simulation-driven antenna design (e.g., parametric optimization) difficult. This difficulty can be alleviated by utilization of fast and accurate replacement models (surrogates). Unfortunately, conventional data-driven modeling of antennas...
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ECHOES REDUCTION DURING DIGITAL DATA TRANSMISSION IN HYDROACOUSTIC CHANNEL – LABORATORY EXPERIMENT
PublikacjaThe possibility of using a hydroacoustic channel for digital data transmission is very limited. This is due to the effect of multipath propagation of the emitted acoustic wave and the damping of the mechanical wave in this medium, which increase with frequency. The first of these phenomena results in inter-symbol interference disturbances in data transmission systems, including even hundreds of symbols. Due to the number of reflections...
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Music information retrieval—The impact of technology, crowdsourcing, big data, and the cloud in art.
PublikacjaThe exponential growth of computer processing power, cloud data storage, and crowdsourcing model of gathering data bring new possibilities to music information retrieval (mir) field. Mir is no longer music content retrieval only; the area also comprises the discovery of expressing feelings and emotions contained in music, incorporating other than hearing modalities for helping this issue, users’ profiling, merging music with social...
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Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects
PublikacjaWe present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...
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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data
PublikacjaOpinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance...
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Data and knowledge supporting decision-making for the urban Food-Water-Energy nexus
PublikacjaCities are hubs of innovation and wealth creation, and magnets for an increasing urban population. Cities also face unprecedented challenges in terms of food, water and energy scarcity, and governance and management. Urban environmental issues are no longer problems for experts to address but have become issues of public debate, in which knowledge from multiple sectors is needed to support inclusive governance approaches. Consequently,...
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Solvation of N-methylformamide by ethanol: a comparison of molecular dynamics calculations with the experimental data
PublikacjaWykonano obliczenia metodami dynamiki molekularnej dla tytułowego układu. Rezultaty porównano z uzyskanymi wcześniej wynikami pomiarów termodynamicznych oraz wnioskami z nich wyciągniętymi.
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Kalman filtering for 3d real time data visualisation of multibeam sonar records.
PublikacjaPrzedstawiono zastosowanie filtracji Kalmana do korekcji błędów systematycznych występujących w danych pochodzących z systemu wielozwiązkowego. Zaproponowano dwuetapową filtrację danych dla każdego wachlarza danych, która realizowana jest w czasie rzeczywistym. Zaprezentowano rezultaty wizualizacji dna morskiego przed i po filtracji.
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THE CONCEPT OF INTEGRATED SYSTEM FOR COLLECTING GEOGRAPHIC AND HYDROGRAPHIC DATA FOR NAVIGATION PURPOSES IN RIS
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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
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Communications in Statistics: Case Studies, Data Analysis and Applications
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Preparation and characterization of asphaltene based adsorbents for gas-solid adsorption systems
PublikacjaThe dissertation presents results of the experimental research on asphaltene-based adsorbents (support coated with asphaltene layer) for gas-solid adsorption systems, with special reference to volatile organic compounds (VOCs) removal from gas streams. Analysis of gas adsorption properties revealed that asphaltenes isolated from oxidized bitumen have strong affinity toward VOCs. Interactions with target gas molecules, and selectivity...
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Data Partitioning and Task Management in the Clustered Server Layer of the Volunteer-based Computation System
PublikacjaWhile the typical volunteer-based distributed computing system focus on the computing performance, the Comcute system was designed especially to keep alive in the emergency situations. This means that designers had to take into account not only performance, but the safety of calculations as well. Quadruple-layered architecture was proposed to separate the untrusted components from the core of the system. The main layer (W) consists...
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A Regular Expression Matching Application with Configurable Data Intensity for Testing Heterogeneous HPC Systems
PublikacjaModern High Performance Computing (HPC) systems are becoming increasingly heterogeneous in terms of utilized hardware, as well as software solutions. The problems, that we wish to efficiently solve using those systems have different complexity, not only considering magnitude, but also the type of complexity: computation, data or communication intensity. Developing new mechanisms for dealing with those complexities or choosing an...
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Multivariate analysis of impedance data obtained for coating systems of varying thickness applied on steel
PublikacjaElectrochemical 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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Systems of Public Higher Education in Poland and Germany. Evidence from Institution Level Data
PublikacjaThe chapter presents a comparative analysis of public higher education systems (HES) in Germany and Poland. Instead of limiting our study to macro indicators such as gross expenditure on higher education or R&D as per cent of GDP, we draw on the evidence based on micro data especially collected for this study and concerning individual higher education institutions (HEIs). Comparative analysis is based on a sample of 71 public...
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Estimating the Average Speed of Public Transport Vehicles Based on Traffic Control System Data
PublikacjaIntelligent Transport Systems are a valuable source of traffic information, covering both private and public vehicles. The main problem, however, is that very few studies are conducted to determine the speed of buses, trams and trolleys in urban networks in relation to traffic conditions. The paper investigates how ITS systems data could be used to model the speed of Public Transport vehicles. This is now possible thanks to the...
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Sea surface temperature retrieval from MSG/SEVIRI data in the Baltic Sea area
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Akademia ETI : Cztery lata współpracy Wydziału ETI ze szkołami ponadgimnazjalnymi regionu
PublikacjaSprawozdanie z pierwszych czterech lat istnienia Akademii ETI (2008-2012).
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Using LSTM networks to predict engine condition on large scale data processing framework
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
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Fluoride content in the hair in dependence of the place of residence, sex, dietary habits and anthropometric data
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Geographic information system for remote integration of diverse under-water acoustic sensor data
PublikacjaMaritime and port areas throughout the world are exposed to many different hazards, like pollution, terrorism and natural disasters. Early detection, identification and preparation of appropriateesponse strategies is especially important in the case of semi-enclosed basins like the Baltic Sea, mainly due to the marine ecosystems' continuous absorption of pollutants including oil, heavy metals and chemicals. Many of those agents...
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Real-time web-based gis for analysis, visualization, and integration of marine environment data
PublikacjaWizaulizacja 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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Cameras, microphones, and data storage in current monitoring systems.Technology trends, problems and potential solutions
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Drawing conclusions about reliability of power systems from small number of statistical data
PublikacjaW artykule podjęto próbę udzielenia odpowiedzi na pytanie, czy możliwe jest wyciągnięcie przydatnych w praktyce wniosków o niezawodności elementów technicznych, wchodzących w skład systemów energetycznych, mając do dyspozycji nieliczne dane statystyczne. W opinii autora jest to możliwe. Wskazano dwie drogi postępowania. Pierwsza opiera się na wykorzystaniu metod statystycznych. Druga wykorzystuje elementy teorii zbiorów rozmytych.
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Fast synchronous distribution network of data streams for RPC Muon Trigger in CMS experiment
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Changes in the addiction prevalence in Polish population between 1990-2019: Review of available data
PublikacjaThe 1989 collapse of the socialist political system in Poland initiated an avalanche of modifications regarding healthcare policy resulting with new institutions and programs dedicated to monitoring and preventing addiction. In the current article, we look at the available data allowing to track changes in (1) the prevalence of exposure to addictive substances and behaviors, and (2) changes of addictions prevalence in Poland...
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The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces
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Improved calculation of damage due creep by more accurate time to rupture data representation
PublikacjaReguła Robinsona (Linear Life Fraction Damage Rule) jest stosunkowo łatwa w użyciu dla różnorodnych warunków obciążenia. Z tego powodu jest ona powszechnie akceptowana i używana. Potencjalne możliwości poprawy dokładności obliczeń tą metodą daje zastosowanie specjalnych funkcji do aproksymacji wyników badań wytrzymałości czasowej. W pracy zaproponowano zastosowanie funkcji typu Spline oraz bardzo elastycznej funkcji Spline3D do...
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N-way modelling of sediment monitoring data from Mar Menor lagoon, Spain
PublikacjaW artykule przedstawiono zastosowanie modelowania typu Tucker3 dla danych pochodzących z monitorowania chemizmu osadów obszaru laguny Mar Menor w Hiszpanii. Celem badania jest modelowanie i interpretacja frakcjonowania metali ciężkich w materii zawieszonej i frakcjach osadów wynikających z procesów sedymentacyjnych. Modelowanie ma na celu oszacowanie ryzyka środowiskowego ponieważ działalność ludzka ma znaczny wpływ na stan laguny....
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Territorial Extrapolation of Basic Data as a Solution of the Problem of Its Deficiency during Mass Appraisal
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Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
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On Cointegration Analysis for Condition Monitoring and Fault Detection of Wind Turbines Using SCADA Data
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Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
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Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering
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Environmental Factors and the Risk of Developing Type 1 Diabetes—Old Disease and New Data
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Issue of quality and reliability of spatial records information in the context of data concerning boundary points
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Interactive visualization of marine pollution monitoring and forecasting data via a Web-based GIS
PublikacjaArtykuł prezentuje zastosowanie sieciowego Systemu Informacji Geograficznej do monitoringu i prezentacji wyników modelowania plam ropy na morzu. Omawiany system wykorzystuje technologie ESRI ArcIMS (Arc Internet Map Server) oraz Open Source GeoServer z biblioteką klienta OpenLayers w celu wizualizacji i mapowania rozprzestrzeniania się wycieku ropy w dwóch wybranych obszarach Morza Egejskiego w Grecji. Przedstawiony GIS stanowi...
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Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing
PublikacjaArtykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...
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Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data
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