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Wyniki wyszukiwania dla: CYGARA
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Review of cigars and cigar-type products as potential sources of consumer exposure to heavy metals
PublikacjaThe popularity of cigars, growing since 1993, has not gone hand in hand with the increased interest of researchers in these products. Although the literature widely describes the harmfulness of tobacco and the content of toxic substances in tobacco products, the topic is often treated selectively as relating primarily to cigarettes and rarely extends to other products of the broadly defined tobacco industry. However, there is no...
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Oznaczenie rtęci w tytoniu cygarowym jako wyzwanie analityczne
PublikacjaPrzed wybuchem pandemii COVID-19 obserwowano wyraźny i systematyczny wzrost rynku cygarowego, a co za tym idzie, również i grona cigar aficionado, czyli miłośników cygar. W pracy poruszono tematykę zawartości rtęci w cygarach i przedstawiono wyniki przeprowadzonych badań. Z racji wielu podobieństw porównano ją z zawartością tego pierwiastka w tytoniu papierosowym. Stężenie Hg w tytoniu papierosowym na przestrzeni kilkudziesięciu...
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Changes in Chemical Composition and Accumulation of Cryoprotectants as the Adaptation of Anholocyclic Aphid Cinara tujafilina to Overwintering
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PTR-MS and electronic nose application for volatile fraction analysis of cigar tobacco
PublikacjaCigar consumers attach great importance to the quality of these products. At the same time, cigars are often expensive, so destructive analytical methods of quality control are not being desired. However, it has been found that there are many volatile organic compounds in their headspace. Because of that, proton transfer reaction–mass spectrometry and electronic nose were used to analyse it. The obtained results were used to distinguish...
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Screening evaluation of the quality of commercially available cigars, cigarillos, and bidis based on emission levels of selected terpenes and terpenoids
PublikacjaThe aim of the research was to verify the use of the solvent-free, non-destructive and easy to operate analytical method to study and compare the emissions of 16 representatives of terpenes and terpenoids from commercially available cigars, cigarillos and bidis − a potential screening analysis for the quality of combustible tobacco products. To assess the amount of organic compounds emitted to the gaseous phase from investigated...
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A Psychometric Evaluation of the Santa Clara Strength of Religious Faith Questionnaire among Students from Poland and Chile
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Sebastian Cygert dr inż.
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Leiomyoma, NOS - Female, 78 - Tissue image [4120730022878091]
Dane BadawczeThis is the histopathological image of CONNECTIVE, SUBCUTANEOUS AND OTHER SOFT TISSUES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Paweł Kubica dr inż.
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Conversion of waste biomass into activated carbon and evaluation of environmental consequences using life cycle assessment
PublikacjaIn this article, activated carbon was produced from Lantana camara and olive trees by H3PO4 chemical activation. The prepared activated carbons were analyzed by characterizations such as scanning electron microscopy, energy-dispersive X-ray spectroscopy, Brunauer–Emmett–Teller, X-ray diffraction, thermogravimetric analysis, and Fourier transform infrared spectroscopy. H3PO4 is used as an activator agent to create an abundant pore...
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Style Transfer for Detecting Vehicles with Thermal Camera
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A Generalized Version of the Lions-Type Lemma
PublikacjaIn this short paper, I recall the history of dealing with the lack of compactness of a sequence in the case of an unbounded domain and prove the vanishing Lions-type result for a sequence of Lebesgue-measurable functions. This lemma generalizes some results for a class of Orlicz–Sobolev spaces. What matters here is the behavior of the integral, not the space
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Robust and Efficient Machine Learning Algorithms for Visual Recognition
PublikacjaIn visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...
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Existence of Two Periodic Solutions to General Anisotropic Euler-Lagrange Equations
PublikacjaAbstract. This paper is concerned with the following Euler-Lagrange system d/dtLv(t,u(t), ̇u(t)) =Lx(t,u(t), ̇u(t)) for a.e.t∈[−T,T], u(−T) =u(T), Lv(−T,u(−T), ̇u(−T)) =Lv(T,u(T), ̇u(T)), where Lagrangian is given by L=F(t,x,v) +V(t,x) +〈f(t),x〉, growth conditions aredetermined by an anisotropic G-function and some geometric conditions at infinity.We consider two cases: with and without forcing termf. Using a general version...
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Implementacja sprzętowa wybranych elementów GCM-AES w układzie programowalnym na karcie netFPGA
PublikacjaArtykuł przedstawia projekt oraz implementację modułu realizującego mnożenie w skończonym polu Galois GF(2128), przeznaczonego do pracy w szyfratorze AES-GCM. Moduł został zrealizowany w taki sposób, aby umożliwić jego implementację w układach programowalnych FPGA na kartach NetFPGA1G oraz NetFPGA10G. Uwaga skupiła się na zapewnieniu należytej minimalnej częstotliwości taktowania zegara oraz odpowiedniej szybkości przetwarzania...
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Łukasz Cyra
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Stanisław Cytawa
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Mechanical strength of stems in aquatic macrophytes
PublikacjaSummary: In populations of submerged macrophytes, individuals are selected in terms of resistance to the effect of hydrodynamic forces. The aim of this study was to check whether individuals growing in river water are more tensile and bending resistant than plants occurring in places not exposed to flow stress. We determined the ultimate tensile strength of stems in four macrophyte species, Potamogeton natans, P. pectinatus, Batrachium...
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Style Transfer for Detecting Vehicles with Thermal Camera
PublikacjaIn this work we focus on nighttime vehicle detection for intelligent traffic monitoring from the thermal camera. To train a Convolutional Neural Network (CNN) detector we create a stylized version of COCO (Common Objects in Context) dataset using Style Transfer technique that imitates images obtained from thermal cameras. This new dataset is further used for fine-tuning of the model and as a result detection accuracy on images...
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Anisotropic Orlicz–Sobolev spaces of vector valued functions and Lagrange equations
PublikacjaIn this paper we study some properties of anisotropic Orlicz and Orlicz–Sobolev spaces of vector valued functions for a special class of G-functions. We introduce a variational setting for a class of Lagrangian Systems. We give conditions which ensure that the principal part of variational functional is finitely defined and continuously differentiable on Orlicz–Sobolev space.
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Vehicle detector training with labels derived from background subtraction algorithms in video surveillance
PublikacjaVehicle detection in video from a miniature station- ary closed-circuit television (CCTV) camera is discussed in the paper. The camera provides one of components of the intelligent road sign developed in the project concerning the traffic control with the use of autonomous devices being developed. Modern Convolutional Neural Network (CNN) based detectors need big data input, usually demanding their manual labeling. In the presented...
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Evaluating Calibration and Robustness of Pedestrian Detectors
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Przydatność ekologicznego systemu oczyszczającego w aspekcie renaturalizacji ścieków
PublikacjaW pracy przedstawiono wyniki badań dotyczące przydatności zastosowania ekologicznego systemu oczyszczającego (ang.: Ecological Treatment System - ETS) w renaturalizacji ścieków. W tym celu poddano analizie ścieki oraz powstające w procesie oczyszczania osady denne. Badania prowadzono w obiekcie stanowiącym III stopień biologicznego doczyszczania ścieków komunalnych w oczyszczalni w Swarzewie. Przeprowadzona analiza granulometryczna...
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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublikacjaRecent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...
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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublikacjaRecent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...
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Eulerian motion magnification applied to structural health monitoring of wind turbines
PublikacjaSeveral types of defects may occur in wind turbines, as physical damage of blades or gearbox malfunction. A wind farm monitoring and damage prediction system is built to observe abnormal vibrations of elements of wind turbine: blades, nacelle, and tower. Contactless methods are developed which do not require turbine stopping. In this work, structural health monitoring of a wind turbine is evaluated using a conversion from the captured...
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Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform
PublikacjaTraffic 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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Toward Robust Pedestrian Detection With Data Augmentation
PublikacjaIn this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...
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Evaluating calibration and robustness of pedestrian detectors
PublikacjaIn this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step...
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Vehicle detector training with minimal supervision
PublikacjaRecently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...
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Mountain pass solutions to Euler-Lagrange equations with general anisotropic operator
PublikacjaUsing the Mountain Pass Theorem we show that the problem \begin{equation*} \begin{cases} \frac{d}{dt}\Lcal_v(t,u(t),\dot u(t))=\Lcal_x(t,u(t),\dot u(t))\quad \text{ for a.e. }t\in[a,b]\\ u(a)=u(b)=0 \end{cases} \end{equation*} has a solution in anisotropic Orlicz-Sobolev space. We consider Lagrangian $\Lcal=F(t,x,v)+V(t,x)+\langle f(t), x\rangle$ with growth conditions determined by anisotropic G-function and some geometric conditions...
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Robustness in Compressed Neural Networks for Object Detection
PublikacjaModel compression techniques allow to significantly reduce the computational cost associated with data processing by deep neural networks with only a minor decrease in average accuracy. Simultaneously, reducing the model size may have a large effect on noisy cases or objects belonging to less frequent classes. It is a crucial problem from the perspective of the models' safety, especially for object detection in the autonomous driving...
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Mountain pass type periodic solutions for Euler–Lagrange equations in anisotropic Orlicz–Sobolev space
PublikacjaUsing the Mountain Pass Theorem, we establish the existence of periodic solution for Euler–Lagrange equation. Lagrangian consists of kinetic part (an anisotropic G-function), potential part and a forcing term. We consider two situations: G satisfying at infinity and globally. We give conditions on the growth of the potential near zero for both situations.
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Shape-Based Pose Estimation of Robotic Surgical Instruments
PublikacjaWe describe a detector of robotic instrument parts in image-guided surgery. The detector consists of a huge ensemble of scale-variant and pose-dedicated, rigid appearance templates. The templates, which are equipped with pose-related keypoints and segmentation masks, allow for explicit pose estimation and segmentation of multiple end-effectors as well as fine-grained non-maximum suppression. We train the templates by grouping examples...
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Magdalena Chmara dr inż.
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Sundials of St Mary’s Church in Gdańsk / Zegary słoneczne kościoła pw. Wniebowzięcia Najświętszej Panny Marii w Gdańsku
PublikacjaThe paper presents contemporary research evidence of form, function and history of the sundials of St Mary’s Church in Gdańsk. The discussed sundials are located on the southern wall of the church transept. The sundial, which is believed to be made by Lorenzo Zachau in 1533, is placed on the west side of the western window, at the edge of the wall. The face of this sundial is separated by a horizontal line into two parts. The upper...
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Julia Chmara
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Anna Rygała mgr inż.
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Przedmiot Wyrównawczy (GiGK i MF) 2022/2023
Kursy OnlineKurs wyrównawczy dla specjalności Matematyka Finansowa oraz Geometria i Grafika Komputerowa. Kurs wyrównawczy dla specjalności Analityk Danych znajduje się tutaj: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=25761
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Statystyka z wykorzystaniem SAS 2024-2025
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Pakiety Matematyczne 2023/2024
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Język angielski w matematyce II - Analityk Danych
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Programowanie w SAS 2024
Kursy OnlineCelem przedmiotu jest: zapoznanie studenta z językiem programowania SAS 4GL zaznajomienie z zasadami makroprogramowania w SAS przedstawienie możliwości zastosowania zdobytych umiejętności w praktyce Ilustracja do kursu wygenerowana przez AI
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Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings
PublikacjaIn the real world, many factors exist disturbing observation of the examined phenomena and causing various noises and distortions in recorded signals. It very often makes it difficult or even impossible to optimize various signal processing algorithms, through finding appropriate parameters. In this paper, we show an application, that retrieves wind turbine rotor speed from recorded video. Next, we describe the process of reduction...
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Wpływ surfaktantu anionowego LAS na mobilność frakcji fosforu w osadzie czynnym w zmiennych warunkach fizyczno-chemicznych
PublikacjaPrzedstawiono wyniki badań wpływu anionowego surfaktantu LAS na mobilność frakcji fosforu w osadzie czynnym. Podstawową rolę w procesie uwalniania fosforu do cieczy nadosadowej w warunkach beztlenowych pełniły: frakcja związana z substancją organiczną i frakcja związana z żelazem.
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Granulometric analysis to etimate influence of anionic surfactrant on activated sludge structure
PublikacjaThe work concerns the evaluation of the possibility of using laser diffraction analyzer to determine changes in the distribution of sludge floc size in the presence of anionic surfactant. As a model of surfactant linear alkylbenzyne sulphonate (LAS) was used. The granulometric analysis showed that the pure activated sludge was composed of particles with a size of 0,001 to 2 mm. The largest and fastest changes in the distribution...
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Wykorzystanie laserowego analizatora dyfrakcyjnego do badania zmian w strukturze osadu czynnego pod wpływem surfaktantu
PublikacjaWykonane analizy pozwoliły stwierdzić, że metoda dyfrakcji laserowej jest metodą, którą można wykorzystać do określenia rozkładu wielkości cząstek osadu czynnego a także śledzić zmiany dokonujące się w osadzie pod wpływem zmieniających się warunków oczyszczania ścieków. Obecność surfaktantu anionowego LAS przyczyniła się do zmiany dystrybucji rozmiarów kłaczków. Stężenie surfaktantu LAS niższe od 200 mg/dm3 w osadzie powodowało...
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Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings
PublikacjaIn the real world, many factors exist disturbing observation of the examined phenomena and causing various noises and distortions in recorded signals. It very often makes it difficult or even impossible to optimize various signal processing algorithms, through finding appropriate parameters. In this paper, we show an application, that retrieves wind turbine rotor speed from recorded video. Next, we describe the process of reduction...
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Wpływ sezonowych zmian temperatury na właściwości sedymentacyjne osadu czynnego
PublikacjaPrzedstawiono badania dotyczące wpływu temperatury na właściwości sedymentacyjne osadu czynnego w dwóch komunalnych oczyszczalniach ścieków. Sezonowe zmiany opadalności osadu związane są ze zmianami temperatury oraz zmianą składu populacji bakterii osadu czynnego (bakterie nitkowate). Na rozwój tych bakterii wpływa nie tylko temperatura, lecz także intensywność napowietrzania oraz dostępność substancji pożywkowych.
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Application of pH measurements for the following the course of biological treatment of wastewater and its control
PublikacjaZaprezentowano wyniki badań przeprowadzonych w skali laboratoryjnej w reaktorze imitującym działanie reaktora SBR. Oczyszczaniu poddano ścieki syntetyczne z dodatkiem glukozy. W trakcie oczyszczania ścieków monitorowano zmiany pH, redox, przewodności oraz stężenia azotu amonowego, azotanów i fosforanów. Stwierdzono korelację między pH i zmianami stężenia fosoranów oraz brak podobnej zależności dla związków azotowych.