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Search results for: CYGARA
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Review of cigars and cigar-type products as potential sources of consumer exposure to heavy metals
PublicationThe 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
PublicationPrzed 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
PublicationCigar 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
PublicationThe 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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Conversion of waste biomass into activated carbon and evaluation of environmental consequences using life cycle assessment
PublicationIn 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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Robust and Efficient Machine Learning Algorithms for Visual Recognition
PublicationIn 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
PublicationAbstract. 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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A Generalized Version of the Lions-Type Lemma
PublicationIn 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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Implementacja sprzętowa wybranych elementów GCM-AES w układzie programowalnym na karcie netFPGA
PublicationArtykuł 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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Mechanical strength of stems in aquatic macrophytes
PublicationSummary: 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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Anisotropic Orlicz–Sobolev spaces of vector valued functions and Lagrange equations
PublicationIn 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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Mountain pass type periodic solutions for Euler–Lagrange equations in anisotropic Orlicz–Sobolev space
PublicationUsing 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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Style Transfer for Detecting Vehicles with Thermal Camera
PublicationIn 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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Evaluating Calibration and Robustness of Pedestrian Detectors
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Robustness in Compressed Neural Networks for Object Detection
PublicationModel 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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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublicationRecent 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
PublicationRecent 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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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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Toward Robust Pedestrian Detection With Data Augmentation
PublicationIn 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
PublicationIn 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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Mountain pass solutions to Euler-Lagrange equations with general anisotropic operator
PublicationUsing 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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Vehicle detector training with minimal supervision
PublicationRecently 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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Przydatność ekologicznego systemu oczyszczającego w aspekcie renaturalizacji ścieków
PublicationW 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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Shape-Based Pose Estimation of Robotic Surgical Instruments
PublicationWe 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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Vehicle detector training with labels derived from background subtraction algorithms in video surveillance
PublicationVehicle 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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Eulerian motion magnification applied to structural health monitoring of wind turbines
PublicationSeveral 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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Sundials of St Mary’s Church in Gdańsk / Zegary słoneczne kościoła pw. Wniebowzięcia Najświętszej Panny Marii w Gdańsku
PublicationThe 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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Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings
PublicationIn 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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Wind Turbines Modeling as the Tool for Developing Algorithms of Processing their Video Recordings
PublicationIn 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
PublicationPrzedstawiono 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
PublicationThe 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
PublicationWykonane 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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A method of trust case templates to support standards conformity achievement and assessment
PublicationOsiąganie i ocena zgodności ze standardami stanowi poważne obciążenie finansowe dla współczesnych gospodarek. Pomimo znacznej wagi tego problemu, nie znalazł on jednak zadowalającego przełożenia na rozwiązania dostępne na rynku. W tej pracy zaproponowano metodę nazwaną Standards Conformity Framework (SCF), która wspiera stosowanie standardów. Jest ona oparta na spostrzeżeniu, że osiąganie i ocena zgodności ze standardem polega...
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Network on Chip implementation using FPGAs resources
PublicationW artykule przedstawiono implementację sieci typu ''Network on Chip'' w układach FPGA. Sieci typu ''Network on Chip'' stały się bardzo interesującym i obiecującym rozwiązaniem dla systemów typu ''System on Chip'' które charakteryzują się intensywną komunikacją wewnętrzną. Ze względu na inne paradygmaty projektowania nie ma obecnie dostępnych efektywnych platform do budowy prototypów sieci typu ''Network on Chip'' i ich weryfikacji....
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Wpływ sezonowych zmian temperatury na właściwości sedymentacyjne osadu czynnego
PublicationPrzedstawiono 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
PublicationZaprezentowano 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.
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Poprawa właściwości sedymentacyjnych osadu czynnego w reaktorach typu SBR i metody szybkiej oceny tych właściwości
PublicationPorównano różne metody oceny właściwości sedymentacyjnych osadu czynnego, w tym indeks objętościowo-wagowy osadu oraz bezpośredni pomiar szybkości opadania osadu na głębokość 4 m w reaktorze w oczyszczalni ścieków. Stwierdzono, iż ocena właściwości sedymentacyjnych osadu w obiekcie rzeczywistym umożliwia szybki dobór parametrów sterowania oczyszczalnią ścieków.
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Estimation of smokers' exposure to mercury from combustible tobacco products, based on the approach used in food consumers’ exposure estimation
PublicationSmoking has been known to mankind for centuries, but it is only in recent decades that much attention has been paid to the harmfulness of this habit. Mercury inhalation is particularly dangerous in this respect and smoking creates extremely favorable conditions for the emission and targeted delivery of this element into the lungs. Despite this fact, a lack of a clear method for estimating the exposure of tobacco consumers to mercury...
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Appraisal of a hybrid air cleaning process
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Non-Destructive Testing for the In Situ Assessment of the Ionic Flux in Cementitious Materials
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Recovering Sound Produced by Wind Turbine Structures Employing Video Motion Magnification
PublicationThe recordings were made with a fast video camera and with a microphone. Using fast cameras allowed for observation of the micro vibrations of the object structure. Motion-magnified video recordings of wind turbines on a wind farm were made for the purpose of building a damage prediction system. An idea was to use video to recover sound & vibrations in order to obtain a contactless diagnostic method for wind turbines. The recovered signals...
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Termoplastyczne elastomery poli(estro-uretanowe) otrzymywane z udziałem bio-glikolu poddane dwukrotnemu przetwórstwu
PublicationRecykling materiałów polimerowych w istotny sposób wpływa na zmniejszenie ilości odpadów z tworzyw sztucznych składowanych na wysypiskach śmieci. Jedną z metod recyklingu jest recykling mechaniczny, stosowany szczególnie w przypadku materiałów o właściwościach termoplastycznych. W pracy zbadano wpływ dwukrotnego przetwórstwa termoplastycznych elastomerów poli(estro-uretanowych), TPU, otrzymywanych z udziałem bio-glikolu na strukturę...
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MagMax: Leveraging Model Merging for Seamless Continual Learning
PublicationThis paper introduces a continual learning approach named MagMax, which utilizes model merging to enable large pre-trained models to continuously learn from new data without forgetting previously acquired knowledge. Distinct from traditional continual learning methods that aim to reduce forgetting during task training, MagMax combines sequential fine-tuning with a maximum magnitude weight selection for effective knowledge integration...
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Revisiting Supervision for Continual Representation Learning
Publication"In the field of continual learning, models are designed to learn tasks one after the other. While most research has centered on supervised continual learning, there is a growing interest in unsupervised continual learning, which makes use of the vast amounts of unlabeled data. Recent studies have highlighted the strengths of unsupervised methods, particularly self-supervised learning, in providing robust representations. The improved...
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Vocalic Segments Classification Assisted by Mouth Motion Capture
PublicationVisual features convey important information for automatic speech recognition (ASR), especially in noisy environment. The purpose of this study is to evaluate to what extent visual data (i.e. lip reading) can enhance recognition accuracy in the multi-modal approach. For that purpose motion capture markers were placed on speakers' faces to obtain lips tracking data during speaking. Different parameterizations strategies were tested...
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A coarse‐grained approach to NMR ‐data‐assisted modeling of protein structures
PublicationThe ESCASA algorithm for analytical estimation of proton positions from coarse-grained geometry developed in our recent work has been implemented in modeling protein structures with the highly coarse-grained UNRES model of polypeptide chains (two sites per residue) and nuclear magnetic resonance (NMR) data. A penalty function with the shape of intersecting gorges was applied to treat ambiguous distance restraints, which automatically...
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The effect of surfactants on activated sludge process
PublicationBadano wpływ anionowego surfaktantu (SDBS) na proces biologicznego oczyszczania ścieków metoda osadu czynnego. Stwierdzono, że stężenie SDBS powyżej 50 mg/l miało wyraźny wpływ na przemiany związków azotu i fosforu w czasie oczyszczania ścieków. Wpływ badanego związku na usuwanie związków organicznych (wyrażonych jako ChZT) był mniej wyraźny.