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Nitrogen dioxide gas-sensing detection with GO modified CuO thin films
PublicationGas sensors have been continuously developed over the last few decades for several applications including air quality monitoring, automotive industry and recently for medical use. Gas sensors are usually based on metal oxides (MOXs), such as SnO2, TiO2, ZnO, WO3, CuO. Recently, new materials such as graphene oxide and heterostructures of graphene oxide and metal oxides are utilized for gassensing applications.
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Detection of Toxoplasma gondii Infection in Small Ruminants: Old Problems, and Current Solutions
PublicationToxoplasmosis is a parasitic zoonosis of veterinary importance, with implications for public health. Toxoplasma gondii infection causes abortion or congenital disease in small ruminants. Moreover, the consumption of infected meat, cured meat products, or unpasteurized milk and dairy products can facilitate zoonotic transmission. Serological studies conducted in various European countries have shown the high seroprevalence of specific...
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Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
PublicationLymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better...
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Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning
PublicationEvery year in many countries, there are fatal unintentional drownings in different water reservoirs like swimming pools, lakes, seas, or oceans. The existing threats of this type require creating a method that could automatically supervise such places to increase the safety of bathers. This work aimed to create methods and prototype solutions for detecting people bathing in water reservoirs using a multimodal imaging system and...
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Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
PublicationTo this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...
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High-Resolution, Broad-Range Detection Setup for Polarimetric Optical Fiber Sensors
PublicationA common-path polarization interferometer using a Wollaston prism and an area detector for the measurement of retardation or optical path difference is presented. Employing a moderate-resolution 1280 by 1024 pixel monochrome camera, it offers a measurement range of approximately 780 radians at 830 nm and 1350 radians at 515 nm while maintaining a high measurement resolution. Retardation introduced by a zero-order waveplate or a...
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The Influence of Global Corrosion Degradation on Localized Damage Detection Using Guided Waves
PublicationThis paper presents the results of a numerical analysis of the influence of corrosion degradation of metal plates on the wave propagation phenomenon. There are several different corrosion types, but general and pitting corrosion are the most common. General corrosion is more or less uniformly distributed over the entire exposed surface of the metal while pitting corrosion takes the form of localized cracks. Because the general...
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Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks
PublicationThe presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....
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Impact of Shifting Time-Window Post-Processing on the Quality of Face Detection Algorithms
PublicationWe consider binary classification algorithms, which operate on single frames from video sequences. Such a class of algorithms is named OFA (One Frame Analyzed). Two such algorithms for facial detection are compared in terms of their susceptibility to the FSA (Frame Sequence Analysis) method. It introduces a shifting time-window improvement, which includes the temporal context of frames in a post-processing step that improves the...
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Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation
PublicationAutonomous surface vehicles (ASVs) are becoming more and more popular for performing hydrographic and navigational tasks. One of the key aspects of autonomous navigation is the need to avoid collisions with other objects, including shore structures. During a mission, an ASV should be able to automatically detect obstacles and perform suitable maneuvers. This situation also arises in near-coastal areas, where shore structures like...
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Melanoma skin cancer detection using mask-RCNN with modified GRU model
PublicationIntroduction: Melanoma Skin Cancer (MSC) is a type of cancer in the human body; therefore, early disease diagnosis is essential for reducing the mortality rate. However, dermoscopic image analysis poses challenges due to factors such as color illumination, light reflections, and the varying sizes and shapes of lesions. To overcome these challenges, an automated framework is proposed in this manuscript. Methods: Initially, dermoscopic...
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Fault detection in the marine engine using a support vector data description method
PublicationFast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...
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Detection and isolation of manoeuvres in adaptive tracking filtering based on multiple model switching
PublicationW rozdziale przedstawia się model radarowego procesu pomiarowego oraz omawiaproblem modelowania trajektorii ruchu obiektów latających. Przyjęto klasę o-biektów cywilnych, których tor ruchu można opisać jak złożenie ruchu prosto-liniowego jednostajnego oraz ruchu prostoliniowego jednostajnie zmiennegolub ruchu po okręgu ze stałą prędkością (manewru). zastosowano również meto-dę estymacji nieznanej wartości wielkości sterującej,...
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Numerical simulation of damage detection in rectangular plate by two-dimensional wavelet transform.
PublicationW pracy przedstawiono metodę lokalizacji pęknięć w płytach przy zastosowaniu transformaty falkowej.
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Higher-order spectra for harmonics detection in nonlinear systems at presence of Gaussian noise.
PublicationPrzedstawiono metodę wykrywania harmonicznych w ukladach nieliniowych za pomocą funkcji bispektrum. Przebadano skuteczność proponowanej metody w porównaniu z metodą wykorzystującą gęstość widmową mocy. Badania przeprowadzono dla sygnałów będących sumą sygnału harmonicznego i realizacji szumu białego.
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Detection of defects in PMMA beam using shear waves - numerical simulation and experiment
PublicationTest doświadczalny falami sprężystymi jest częścią systemu diagnostycznego belek. Autorzy badają pole przyspieszeń wywołane przepływem fal ultradźwiękowych i jego modyfikacje wynikające z wprowadzonych uszkodzeń belki. Artykuł porównuje wyniki eksperymentalne z symulacjami numerycznymi MES. The experimental test introduced in the paper is the part of the diagnostic system utilizing the elastic waves. The authors investigate the...
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Jan Biernat prof. dr hab. inż.
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Comparison and Analysis of Service Selection Algorithms
PublicationIn Service Oriented Architecture, applications are developed by integration of existing services in order to reduce development cost and time. The approach, however, requires algorithms that select appropriate services out of available, alternative ones. The selection process may consider both optimalization requirements, such as maximalization of performance, and constraint requirements, such minimal security or maximum development...
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Interoperability Constraints in Service Selection Algorithms
PublicationIn Service Oriented Architecture, composite applications are developed by integration of existing, atomic services that may be available in alternative versions realizing the same functionality but having different Quality of Service (QoS) attributes. The development process requires effective service selection algorithms that balance profits and constraints of QoS attributes. Additionally, services operate in a heterogeneous environment,...
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Selection of drive engines for dredge pumps
PublicationThis paper presents the principles of selecting drive engines for dredge pumps, formulated by this author. In order to formulate them influence of drive engines on dredge pump characteristics and dredger effectiveness, have been analyzed. Also, an analysis of results of the author's operational investigations concerning energy consumption and parameters of excavated soil transport on board dredgers has been performed.
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Automated Reduced Model Order Selection
PublicationThis letter proposes to automate generation of reduced-order models used for accelerated -parameter computation by applying a posteriori model error estimators. So far,a posteriori error estimators were used in Reduced Basis Method (RBM) and Proper Orthogonal Decomposition (POD) to select frequency points at which basis vectors are generated. This letter shows how a posteriori error estimators can be applied to automatically select...
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Distributed graph searching with a sense of direction
PublicationIn this work we consider the edge searching problem for vertex-weighted graphs with arbitrarily fast and invisible fugitive. The weight function w provides for each vertex v the minimum number of searchers required to guard v, i.e., the fugitive may not pass through v without being detected only if at least w(v) searchers are present at v. This problem is a generalization of the classical edge searching problem, in which one has...
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EVALUATION OF THE SEMIVARIOGRAM SELECTION ON THE KRIGING INTERPOLATION
PublicationThe aim of the paper is to present the possibilities of geostatistical interpolation kriging method using in the process of generating digital terrain models (DTM). The source of data is a direct measurements realized with a precision GNSS positioning kinematic measurement technique RTN. Kriging algorithm was analysed, especially in the meaning of a semivariogram every step. Theoretical semivariogram selection influence on the...
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SELECTION OF DIAGNOSTIC FUNCTIONS IN A WHEELED TRACTOR
PublicationIn a classical approach to damage diagnosis, the technical condition of an analyzed machine is identified based on the measured symptoms, such as performance, thermal state or vibration parameters. In wheeled tractor the fundamental importance has monitoring and diagnostics during exploitation concerning technical inspection and fault element localizations. The main functions of a diagnostic system are: monitoring tractor components...
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Multi-criteria selection of hydraulic gates
PublicationSelekcja doboru zamknięcia wodnego stanowi podstawowy element w jego projektowaniu. Projektowanie zamknięć można rozważać jako problem krótkoterminowy (zamknięcie natychmiastowe wysokiej wody) jak i problem długoterminowy uwzględniający problemy rolnicze, ekologiczne i zmiany klimatu. W doborze rodzaju zamknięć wodnych należy uwzględnić wiele kryteriów w tym ekonomicznych, wykonawczych, ekologicznych i innych. W pracy przedstawiono...
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Clonal selection algorithm for vehicle routing
PublicationOver the years several successful computing techniques have been inspired by biological mechanisms. Studies of the mechanisms that allow the immune systems of vertebratesto adapt and learn have resulted in a class of algorithms called artificial immune systems. Clonal selection is a process that allows lymphocytes to launch a quick response to known pathogens and to adapt to new, previously unencountered ones. This paper presents...
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Frequency bands selection of the Portevin-LeChatelier
PublicationEfekt Portevina-LeChateliera ujawnia się w postaci skokowych zmian naprężenia w trakcie procesu odkształcenia próbek pewnych stopów. Zjawisko PLC występuje w kilku odmianach charakteryzujących się istotnymi różnicami zarówno w przestrzennym rozkładzie pasm odkształcenia jak też przebiegu krzywej naprężeniowej. Przebiegi odpowiadające różnym odmianom serration charakteryzują się odmiennymi właściwościami rozkładu energetycznego...
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Prototype selection algorithms for distributed learning
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Combining Equity Country Selection Strategies
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Country selection strategies based on quality
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An Approach to RBF Initialization with Feature Selection
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Use laser to measure girder deflection
PublicationThe paper presents a new, simple way to measure deflection of selected intens using the device dkkz-2010, which user a laser light source.
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Measurements of electron scattering in the backward direction
PublicationPrzedstawiono wyniki badań rozproszenia elektronów na atomach i cząsteczkach przeprowadzonych w zakresie dużych kątów rozproszenia do 180o.
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Selection of the tunnel thuster main parameters.
PublicationPrzedstawiono przegląd podstawowych odmian konstrukcyjnych sterów strumieniowych urządzeń zalecanych przez producentów. Z uwagi na znaczne różnice wartości otrzymywane z wymienionych metod, zamieszczono także wyniki analizy statystycznej sterów strumieniowych zastosowanych na statkach zbudowanych w Stoczni Gdynia w latach1995-2002. Porównanie wyników poszczególnych metod z parametrami sterów zastosowanych na wymienionych...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Open Research DataBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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Melamine-modified boron-doped diamond towards enhanced detection of adenine, guanine and caffeine
PublicationThis work describes the electrochemical method of boron-doped diamond (BDD) modification by poly-melamine to obtain organic film. The detection of adenine, guanine and caffeine were carried out by differential pulse wave voltammetry. The poly-melamine modified B-NCD electrodes exhibit excellent activity towards the electrochemical oxidation of all examined analytes. The poly-melamine modified BDD electrodes in all measurements...
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MIC1-MAG1-SAG1 chimeric protein, a most effective antigen for detection of human toxoplasmosis
PublicationThis study describes a Toxoplasma gondii IgG ELISA test based on a new chimeric antigen containing three immunodominant regions from MIC1, MAG1 and SAG1 proteins of a parasite and shows that this test is useful for diagnostic purposes and may replace the lysed and whole-cell antigens.
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Performance Evaluation of Selected Parallel Object Detection and Tracking Algorithms on an Embedded GPU Platform
PublicationPerformance evaluation of selected complex video processing algorithms, implemented on a parallel, embedded GPU platform Tegra X1, is presented. Three algorithms were chosen for evaluation: a GMM-based object detection algorithm, a particle filter tracking algorithm and an optical flow based algorithm devoted to people counting in a crowd flow. The choice of these algorithms was based on their computational complexity and parallel...
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Automated detection of sleep apnea and hypopnea events based on robust airflow envelope tracking
PublicationThe paper presents a new approach to detection of apnea/hypopnea events, in the presence of artifacts and breathing irregularities, from a single-channel airflow record. The proposed algorithm identifies segments of signal affected by a high amplitude modulation corresponding to apnea/hypopnea events. It is shown that a robust airflow envelope—free of breathing artifacts—improves effectiveness of the diagnostic process and allows...
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Rapid Assays for Specific Detection of Fungi of Scopulariopsis and Microascus Genera and Scopulariopsis brevicaulis Species
PublicationPurpose Fungi of Scopulariopsis and Microascus genera cause a wide range of infections, with S. brevicaulis being the most prevalent aetiological agent of mould onychomycosis. Proper identification of these pathogens requires sporulating culture, which considerably delays the diagnosis. So far, sequencing of rDNA regions of clinical isolates has produced ambiguous results due to the lack of reference sequences in publicly available...
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Determination of cyanide ion in urine samples using ion chromatography with pulsed amperometric detection.
PublicationCyanides are widely applied in industrial activity, including gold and silver mining and the production of organic chemicals. HCN is also formed directly from fossil fuel combustion sources from gasoline and diesel vehicles. In natural environment, in plants seeds for example an apple seed, it exists as a cyanogenic glycosides. The amount of cyanide ions originating from food products is however rather small. Larger concentrations...
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Methodology of Selecting the Hadoop Ecosystem Configuration in Order to Improve the Performance of a Plagiarism Detection System
PublicationThe plagiarism detection problem involves finding patterns in unstructured text documents. Similarity of documents in this approach means that the documents contain some identical phrases with defined minimal length. The typical methods used to find similar documents in dig- ital libraries are not suitable for this task (plagiarism detection) because found documents may contain similar content and we have not any war- ranty that...
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Deep CNN based decision support system for detection and assessing the stage of diabetic retinopathy
PublicationThe diabetic retinopathy is a disease caused by long-standing diabetes. Lack of effective treatment can lead to vision impairment and even irreversible blindness. The disease can be diagnosed by examining digital color fundus photographs of retina. In this paper we propose deep learning approach to automated diabetic retinopathy screening. Deep convolutional neural networks (CNN) - the most popular kind of deep learning algorithms...
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Gas Detection Using Resistive Gas Sensors And Radial Basis Function Neural Networks
PublicationWe present a use of Radial Basis Function (RBF) neural networks and Fluctuation Enhanced Sensing (FES) method in gas detection system utilizing a prototype resistive WO3 gas sensing layer with gold nanoparticles. We investigated accuracy of gas detection for three different preprocessing methods: no preprocessing, Principal Component Analysis (PCA) and wavelet transformation. Low frequency noise voltage observed in resistive gas...
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Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars
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<title>Ultrahigh-resolution detection techniques for biomedical applications of optical coherent tomography</title>
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
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