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Search results for: KNN CLASSIFIER
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Birch sap concentrate as a potential modern food product
PublicationThis paper presents birch sap concentrate obtained by the reverse osmosis method. It is characterized by sweet taste, high content of minerals and no risk to consumers in terms of content of heavy metals standardized in the European Union food legislation. This beverage has all the features of a modern food product, i.e. it has an attractive taste, is obtained using new technology, meets the clean label requirements and can be...
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TSR method for burns investigation approach
PublicationThe article presents the possibilities of applying the TSR method for the diagnosis of burn wounds. The wound area is stimulated by cold gas and a sequence of thermograms of heating the tissue is recorded. Next, TSR algorithms are used to determine the parameters that allow the wound to be classified into one of the classes: the wound heals within three weeks, the wound will not heal in three weeks. The method was...
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Architektury klasyfikatorów obrazów
PublicationKlasyfikacja obrazów jest zagadnieniem z dziedziny widzenia komputerowego. Polega na całościowej analizie obrazu i przypisaniu go do jednej lub wielu kategorii (klas). Współczesne rozwiązania tego problemu są w znacznej części realizowane z wykorzystaniem konwolucyjnych głębokich sieci neuronowych (convolutional neural network, CNN). W tym rozdziale opisano przełomowe architektury CNN oraz ewolucję state-of-the-art w klasyfikacji...
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Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
PublicationIn the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...
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Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate-blood pressure coupling quantified by entropy-based indices
PublicationWe introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The purpose of the method is to build a classifier for data in which each item consists of two intertwined data series taken for each subject. The method is based on ordinal patterns and uses entropy-like indices. Machine learning is used to select a subset...
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Support Vector Machine Applied to Road Traffic Event Classification
PublicationThe aim of this paper is to present results of road traffic event signal recognition. First, several types of systems for road traffic monitoring, including Intelligent Transport System (ITS) are shortly described. Then, assumptions of creating a database of vehicle signals recorded in different weather and road conditions are outlined. Registered signals were edited as single vehicle pass by. Using the Matlab-based application...
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Merin Ann Botany
People -
Konstrukcje Betonowe I - sem. 6 BO - N 2023
e-Learning Courses-
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Wyznaczanie strefy ochronnej ujęcia wody
PublicationPotrzeba skutecznej ochrony ujęć wody ze szczególnym uwzględnieniem ujęć wody podziemnej. Braki w polskich regulacjach prawnych oraz praktyce. Potrzeba zmian i zasad postępowania. Propozycje rozwiązania problemu.
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Jak sobie pościelisz… czyli o roli prac przedprojektowych
PublicationPrace przedprojektowe w inwestycjach liniowych. Przygotowanie procesu inwestycyjnego. Znaczenie poznania rzeczywistych warunków w jakich będzie prowadzony proces inwestycyjny. Ocena podłoża. Wymagania formalne, błędy. Błędy w ocenach cech materiałowych rozwiązań. Identyfikacja cech i warunków. Problemy wykonawstwa. Szczególne ryzyko.
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Jakie będą oczyszczalnie 'jutra"?
PublicationRola oczyszczalni ścieków zaczyna wykraczać poza zapewnienie wysokiej efektywności usuwania zanieczyszczeń przy niskim wskaźniku zużycia energii. Obiekty te rozszerzają swoją funkcję w kierunku odzysku zasobów i stają się istotnymi elementami gospodarki o obiegu zamkniętym.
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Projektowanie przestrzenne w nowej rzeczywistości
PublicationProblemy zmian zasad planowania zagospodarowania przestrzennego w aspekcie powtarzających się zjawisk powodziowych. Zmiany prawa wodnego, zmiana sposobu podejścia do zagadnienia. Konieczność zasadniczych zmian w planowaniu przestrzennym, w jego wszystkich fazach.
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Accelerometer-based Human Activity Recognition and the Impact of the Sample Size
PublicationThe presented study focused on the recognition of eight user activities (e.g. walking, lying, climbing stairs) basing on the measurements from an accelerometer embedded in a mobile device. It is assumed that the device is carried in a specific location of the user’s clothing. Three types of classifiers were tested on different sizes of the samples. The influence of the time window (the duration of a single trial) on selected activities...
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Affective reactions to playing digital games
PublicationThe paper presents a study of emotional states during a gameplay. An experiment of two-player Tetris game is reported, followed by the analysis of the results - self-reported emotional states as well as physiological signals measurements interpretation. The study reveals the diversity of emotional reactions and concludes, that a representative player's emotional model is hard to define. Instead, an adaptive approach to emotion...
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Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition
PublicationThe study presented in the article focuses on keystroke dynamics analysis applied to recognize emotional states and to authenticate users. An overview of some studies and applications in these areas is presented. Then, an experiment is described, i.e. the way of collecting data, extracting features, training classifiers and finding out the most appropriate feature subsets. The results show that it is difficult to indicate a universal...
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Monitoring of odour nuisance in the Tricity Agglomeration
PublicationThe paper describes a principle of operation of odour nuisance monitoring network, which is being designed in the Tricity Agglomeration. Moreover, it presents the preliminary results of an investigation on ambient air quality with respect to odour nuisance in a vicinity of the municipal landfill. The investigation was performed during spring-winter season using a prototype of electronic nose and the Nasal Ranger field olfactometers. The...
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Comparison of the measurement techniques employed for evaluation of ambient air odour quality
PublicationThe paper presents the results of investigation on ambient air odour quality in a vicinity of the industrial sewage treatment plant being a part of the crude oil processing plant. The investigation was performed during spring-winter season using a prototype of electronic nose and the Nasal Ranger field olfactometers. The prototype was equipped with a set of six semiconductor sensors by FIGARO Co. and one PID-type sensor. The field...
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Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition
Publicationconvolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...
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SIGNIFICANT GUIDELINE FOR THE DAMAGE INDICES APPLIED TO REINFORCED CONCRETE STRUCTURES
PublicationIn this paper, based on a deep overview and literature study, the different formulas proposed for damage indices (DIs) applied to reinforced concrete structures under monotonic or cyclic loading are classified and presented. The DIs are applied to quantify the damages to structures, ranging from zero to one. Normally, they are applied to make a decision for repairing or demolition of the structures in the post-earthquake phases. Keywords:...
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The sources of contamination and reasons of damage of the flow part of the marine turbine engine in operation
PublicationThe aim of this paperis to show particular sensitivity of the flow part of the marine turbine engine to the presence of contaminations in the intake air. The contaminations form hard-to-remove deposits in the intervene channels that result in a reduced efficiency and performance of the engine. The paper classifies the contaminants according the source of their formation and their destructive force. The performed analyses and syntheses...
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Multiscaled Hybrid Features Generation for AdaBoost Object Detection
PublicationThis work presents the multiscaled version of modified census features in graphical objects detection with AdaBoost cascade training algorithm. Several experiments with face detector training process demonstrate better performance of such features over ordinal census and Haar-like approaches. The possibilities to join multiscaled census and Haar features in single hybrid cascade of strong classifiers are also elaborated and tested....
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A Simple Neural Network for Collision Detection of Collaborative Robots
PublicationDue to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use of collaborative robots (cobots). However, the required equipment (force sensors) or alternative methods of detecting a threat to humans are usually quite expensive. The article presents...
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EXTRAORDINARY RAINFALLS IN GDANSK (NORTHERN POLAND) IN THE 21ST CENTURY
PublicationIn the 21st century Gdansk had been affected by two rainfall events with a total precipitation amount of over 120 mm each. Rainfall parameters exceeded the regional values of the rain occurring once every 100 years. At the meteorological station of Gdansk University of Technology, July 9th 2001 was recorded 123.5 mm and July 14th 2016, 150.8 mm rainfall (within 24 hours observation period). Despite the same seasons of summer months...
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Improving medical experts’ efficiency of misinformation detection: an exploratory study
PublicationFighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...
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Offshore benthic habitat mapping based on object-based image analysis and geomorphometric approach. A case study from the Slupsk Bank, Southern Baltic Sea
PublicationBenthic habitat mapping is a rapidly growing field of underwater remote sensing studies. This study provides the first insight for high-resolution hydroacoustic surveys in the Slupsk Bank Natura 2000 site, one of the most valuable sites in the Polish Exclusive Zone of the Southern Baltic. This study developed a quick and transparent, automatic classification workflow based on multibeam echosounder and side-scan sonar surveys to...
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Kanalizacja na wsi
PublicationRozwój kanalizacji na obszarach wiejskich. Dynamika procesów. Problem dysproporcji miasto - wieś. Problem racjonalizacji wydatków. Braki na poziome opracowań w zakresie planowania przestrzennego - strategia rozwoju gminy. Kon sekwencje rutyny w projektowaniu.
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Estimation of the effectiveness of nbpt for limiting ammonia emission from urea based on the field experiments
PublicationThe efectiveness of the ammonia emission reduction from NBPT-stabilized urea was investigating in 2011 during a field experiment on a grassland plot fertilized with a one-time dose of 60 kgN/ha. The obtained reduction coefficient of ammonia emission equaled 73% and 39-51% relative to erea without the inhibitor and ammonium nitrate, respectively.
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Evaluation of La 2 Ni 0.5 Cu 0.5 O 4+δ and Pr 2 Ni 0.5 Cu 0.5 O 4+δ Ruddlesden-Popper-type layered oxides as cathode materials for solid oxide fuel cells
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Physicochemical properties of rock salt-type ordered Sr2MMoO6 (M=Mg, Mn, Fe, Co, Ni) double perovskites
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Possibility of determination of transport coefficients D and k from relaxation experiments for sphere-shaped powder samples
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A- and B-site doping effect on physicochemical properties of Sr2−xBaxMMoO6 (M = Mg, Mn, Fe) double perovskites — candidate anode materials for SOFCs
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Evaluation of W-containing Sr1−Ba Fe0.75W0.25O3– (x= 0, 0.5, 1) anode materials for solid oxide fuel cells
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Predicting the peak structural displacement preventing pounding of buildings during earthquakes
PublicationThe aim of the present paper is to verify the effectiveness of the artificial neural network (ANN) in predicting the peak lateral displacement of multi-story building during earthquakes, based on the peak ground acceleration (PGA) and building parameters. For the purpose of the study, the lumped-mass multi-degree-of-freedom structural model and different earthquake records have been considered. Firstly, values of stories mass and...
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Ocena izolacyjności akustycznej ścian działowych w budynku hotelowo-mieszkalnym przy ul. Szafarnia w Gdańsku
PublicationWykonano pomiary izolacyjności akustycznej ścian między pokojami hotelowymi w obiekcie w budowie. Podano schematy konstrukcyjne ścian spełniających wymagania Polskiej Normy, z uwzględnieniem ograniczeń lokalnych (konstrukcja stropów, układ instalacji wod.-kan. i CO)
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Mechanical properties of polyester reinforced PVC coated fabric subjected to biaxial loading of creep type
PublicationThe goal of the current study is to analyze the basic mechanical properties of the architec-tural fabric VALMEX, which is a composite material built of reinforcing polyester thread families and both sides PVC coated. The material was firstly subjected to biaxial loading of creep type for about 48 hours. The stress levels of the creep loading in two main or-thogonal directions of the fabric (commonly called the warp and fill directions)...
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Strength parameters of polyester reinforced PVC coated fabric after short term creep loading in biaxial mode
PublicationThis study addresses the analysis of tensile strength parameters of the technical fabric VALMEX, which is composed of two orthogonal polyester thread families (named the warp and fill) and both sides PVC coated. The material was firstly subjected to 48-hour biaxial creep loading with the equal stress level in both orthogonal directions of the fabric. The stress levels were established as follows: 4.6 kN/m, 10.4 kN/m, 16.4 kN/m,...
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Magdalena Gajewska prof. dr hab. inż.
PeopleMagdalena Gajewska (born June 1th 1968 in Gdańsk) in 1993 graduated Hydro-Engineering Faculty at Gdańsk University of Technology. At present she is an assistant professor in the Department of Water and Wastewater Technology at the Faculty of Civil and Environmental Engineering GUT. PhD (2001) and habilitation (2013) in the discipline of environmental engineering. In the 2016-2020 term, serves as Vice -dean for science. She...
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Towards Increasing Density of Relations in Category Graphs
PublicationIn the chapter we propose methods for identifying new associations between Wikipedia categories. The first method is based on Bag-of-Words (BOW) representation of Wikipedia articles. Using similarity of the articles belonging to different categories allows to calculate the information about categories similarity. The second method is based on average scores given to categories while categorizing documents by our dedicated score-based...
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Classification of Music Genres Based on Music Separation into Harmonic and Drum Components . Klasyfikacja gatunków muzycznych wykorzystująca separację instrumentów muzycznych
PublicationThis article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from harmonic and/or drum music content. The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector...
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Modelling and computer programmes for dynamie analysis of complex mechanical systems
PublicationPraca dokumentuje dokonania samodzielnych pracowników naukowych Wydziału Mechanicznego Politechniki Gdańskiej i ma na celu przedstawienie i rozpowszechnienie wyników badań prowadzonych na Wydziale, szczególnie w ramach grantów KBN, rozpraw doktorskich i habilitacyjnych w ostatnich kilku latach.
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STEADY STATE VISUALLY EVOKED POTENTIALS FOR BRAIN COMPUTER INTERFACE
PublicationAn experiment conducted to validate a possibility of use a single active electrode EEG device for detecting Steady State Visually Evoked Potentials (SSVEP) is shown. A LED stimulator was applied to stimulate patients with two different frequencies - 13 Hz and 17 Hz. First, EEG signals were recorded and pre-processed using MATLAB software. In the next step recordings were analysed and classified employing the WEKA software. As indicated...
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A review of emotion recognition methods based on keystroke dynamics and mouse movements
PublicationThe paper describes the approach based on using standard input devices, such as keyboard and mouse, as sources of data for the recognition of users’ emotional states. A number of systems applying this idea have been presented focusing on three categories of research problems, i.e. collecting and labeling training data, extracting features and training classifiers of emotions. Moreover the advantages and examples of combining standard...
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Environmental Tobacco Smoke: Exposure, Health Effects, and Analysis
PublicationTobacco smoke contains more than 4,000 chemicals, and 44 compoundshave been classified as human carcinogens. Toxicity can beboth mainstream smoke as well as the constituents of environmentaltobacco smoke. In the light of this evidence, work is intensifyingon assessing exposure on the basis of the results of tests performedto quantify the amounts of suitable environmental tobacco smokeconstituent biomarkers in samples of biological...
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3D-Breast System for Determining the Volume of Tissue Needed for Breast Reconstruction
Publication3D imaging systems can be used to effectively determine breast volumes for surgical applications. This article presents methods for surface reconstruction and volume determination based on the point cloud created by 3D imaging. Such a system would be used to accurately estimate breast volume in patients classified for breast reconstruction surgery at plastic surgery centers. To develop such a system, various methods of determining...
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Measurement Stand and Methodology for Research of the Off-Body and Body-to-Body Radio Channels in WBANs with Different Diversity Schemes
PublicationThe concept of an experimental test bed for system loss and channel impulse response measurements for off-body and body-to-body radio channels in wireless body area networks (WBANs) is fully described. The possible measurement scenarios that may occur in investigation of off-body and body-to-body channels are classified and described in detail. Additionally, an evaluation is provided of the standard and expanded uncertainties of...
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Rozdzielnica badawcza niskiego napięcia RKNN
Research EquipmentRozdzielnica konfiguracyjna niskiego napięcia RKNN
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Marek Olesz dr hab. inż.
PeopleWydział Elektrotechniki i Automatyki, Prodziekan ds. rozwoju dr hab. inż. Marek Olesz, prof. PG data urodzenia 1966 wykształcenie Politechnika Gdańska, Wydział Elektryczny (1990) stopień / tytuł naukowy doktor habilitowany – Politechnika Gdańska, Wydział Elektrotechniki i Automatyki (2017), doktor – Politechnika Gdańska, Wydział Elektrotechniki i Automatyki (1998) zatrudnienie Politechnika Gdańska: asystent stażysta (1989 –...
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New Technologies Adoption and Diffusion Patterns in Developing Countries. An Empirical Study for the Period 2000-2011
PublicationIn recent years, enormous changes are noted worldwide when broad adoption of Information and Communication Technologies (ICT). These unique technologies – often perceived as economic development incentives – have a great ability to spread at high pace and low cost in world countries, bringing to people opportunities to contribute to economic development and growth. New Technologies play a special role in developing countries, where...
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KN - bieżące spotkania
e-Learning Coursesspotkania bieżące
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Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
PublicationThis paper investigates the impact of various modifications introduced to current state-of-the-art Convolutional Neural Network (CNN) architectures specifically designed for the steganalysis of digital images. Usage of deep learning methods has consistently demonstrated improved results in this field over the past few years, primarily due to the development of newer architectures with higher classification accuracy compared to...